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omninets train result is very low #47

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azuryl opened this issue Mar 20, 2023 · 5 comments
Open

omninets train result is very low #47

azuryl opened this issue Mar 20, 2023 · 5 comments

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@azuryl
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azuryl commented Mar 20, 2023 •
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[03/18 08:06:01 tridet.utils.hydra.callbacks]: Rank of current process: 0. World size: 8
[03/18 08:06:01 tridet.utils.setup]: Working Directory: /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55
[03/18 08:06:01 tridet.utils.setup]: Full config:
{
"WANDB": {
"ENABLED": false,
"DRYRUN": false,
"PROJECT": "dd3d",
"GROUP": null,
"TAGS": [
"kitti-val",
"dla34",
"bn"
]
},
"EVAL_ONLY": false,
"EVAL_ON_START": false,
"ONLY_REGISTER_DATASETS": false,
"OUTPUT_ROOT": "./outputs",
"SYNC_OUTPUT_DIR_S3": {
"ENABLED": false,
"ROOT_IN_S3": "???",
"PERIOD": 1000
},
"DATASET_ROOT": "/hdd1/datasets_left/",
"TMP_DIR": "/tmp/",
"DATASETS": {
"TRAIN": {
"NAME": "kitti_3d_train",
"CANONICAL_BOX3D_SIZES": [
[
1.61876949,
3.89154523,
1.52969237
],
[
0.62806586,
0.82038497,
1.76784787
],
[
0.56898187,
1.77149234,
1.7237099
],
[
1.9134491,
5.15499603,
2.18998422
],
[
2.61168401,
9.22692319,
3.36492722
],
[
0.5390196,
1.08098042,
1.28392158
],
[
2.36044838,
15.56991038,
3.5289238
],
[
1.24489164,
2.51495357,
1.61402478
]
],
"DATASET_MAPPER": "default",
"NUM_CLASSES": 5,
"MEAN_DEPTH_PER_LEVEL": [
32.594,
15.178,
8.424,
5.004,
4.662
],
"STD_DEPTH_PER_LEVEL": [
14.682,
7.139,
4.345,
2.399,
2.587
]
},
"TEST": {
"NAME": "kitti_3d_val",
"NUSC_SAMPLE_AGGREGATE_IN_INFERENCE": false,
"DATASET_MAPPER": "default"
}
},
"FE": {
"FPN": {
"IN_FEATURES": [
"level3",
"level4",
"level5"
],
"OUT_FEATURES": null,
"OUT_CHANNELS": 256,
"NORM": "FrozenBN",
"FUSE_TYPE": "sum"
},
"BUILDER": "build_fcos_dla_fpn_backbone_p67",
"BACKBONE": {
"NAME": "DLA-34",
"OUT_FEATURES": [
"level3",
"level4",
"level5"
],
"NORM": "FrozenBN"
},
"OUT_FEATURES": null
},
"DD3D": {
"IN_FEATURES": null,
"NUM_CLASSES": 5,
"FEATURE_LOCATIONS_OFFSET": "none",
"SIZES_OF_INTEREST": [
64,
128,
256,
512
],
"INFERENCE": {
"DO_NMS": true,
"DO_POSTPROCESS": true,
"DO_BEV_NMS": false,
"BEV_NMS_IOU_THRESH": 0.3,
"NUSC_SAMPLE_AGGREGATE": false
},
"FCOS2D": {
"_VERSION": "v2",
"NORM": "BN",
"NUM_CLS_CONVS": 4,
"NUM_BOX_CONVS": 4,
"USE_DEFORMABLE": false,
"USE_SCALE": true,
"BOX2D_SCALE_INIT_FACTOR": 1.0,
"LOSS": {
"ALPHA": 0.25,
"GAMMA": 2.0,
"LOC_LOSS_TYPE": "giou"
},
"INFERENCE": {
"THRESH_WITH_CTR": true,
"PRE_NMS_THRESH": 0.05,
"PRE_NMS_TOPK": 1000,
"POST_NMS_TOPK": 100,
"NMS_THRESH": 0.75
}
},
"FCOS3D": {
"NORM": "FrozenBN",
"NUM_CONVS": 4,
"USE_DEFORMABLE": false,
"USE_SCALE": true,
"DEPTH_SCALE_INIT_FACTOR": 0.3,
"PROJ_CTR_SCALE_INIT_FACTOR": 1.0,
"PER_LEVEL_PREDICTORS": false,
"SCALE_DEPTH_BY_FOCAL_LENGTHS": true,
"SCALE_DEPTH_BY_FOCAL_LENGTHS_FACTOR": 500.0,
"MEAN_DEPTH_PER_LEVEL": [
32.594,
15.178,
8.424,
5.004,
4.662
],
"STD_DEPTH_PER_LEVEL": [
14.682,
7.139,
4.345,
2.399,
2.587
],
"MIN_DEPTH": 0.1,
"MAX_DEPTH": 80.0,
"CANONICAL_BOX3D_SIZES": [
[
1.61876949,
3.89154523,
1.52969237
],
[
0.62806586,
0.82038497,
1.76784787
],
[
0.56898187,
1.77149234,
1.7237099
],
[
1.9134491,
5.15499603,
2.18998422
],
[
2.61168401,
9.22692319,
3.36492722
],
[
0.5390196,
1.08098042,
1.28392158
],
[
2.36044838,
15.56991038,
3.5289238
],
[
1.24489164,
2.51495357,
1.61402478
]
],
"CLASS_AGNOSTIC_BOX3D": false,
"PREDICT_ALLOCENTRIC_ROT": true,
"PREDICT_DISTANCE": false,
"LOSS": {
"SMOOTH_L1_BETA": 0.05,
"MAX_LOSS_PER_GROUP_DISENT": 20.0,
"CONF_3D_TEMPERATURE": 1.0,
"WEIGHT_BOX3D": 2.0,
"WEIGHT_CONF3D": 1.0
},
"PREPARE_TARGET": {
"CENTER_SAMPLE": true,
"POS_RADIUS": 1.5
}
}
},
"VIS": {
"DATALOADER_ENABLED": true,
"DATALOADER_PERIOD": 1000,
"DATALOADER_MAX_NUM_SAMPLES": 10,
"PREDICTIONS_ENABLED": true,
"PREDICTIONS_MAX_NUM_SAMPLES": 20,
"D2": {
"DATALOADER": {
"ENABLED": true,
"SCALE": 1.0,
"COLOR_MODE": "image"
},
"PREDICTIONS": {
"ENABLED": true,
"SCALE": 1.0,
"COLOR_MODE": "image",
"THRESHOLD": 0.4
}
},
"BOX3D": {
"DATALOADER": {
"ENABLED": true,
"SCALE": 1.0,
"RENDER_LABELS": true
},
"PREDICTIONS": {
"ENABLED": true,
"SCALE": 1.0,
"RENDER_LABELS": true,
"THRESHOLD": 0.5,
"MIN_DEPTH_CENTER": 0.0
}
}
},
"INPUT": {
"FORMAT": "BGR",
"AUG_ENABLED": true,
"RESIZE": {
"ENABLED": true,
"MIN_SIZE_TRAIN": [
288,
304,
320,
336,
352,
368,
384,
400,
416,
448,
480,
512,
544,
576
],
"MIN_SIZE_TRAIN_SAMPLING": "choice",
"MAX_SIZE_TRAIN": 10000,
"MIN_SIZE_TEST": 384,
"MAX_SIZE_TEST": 100000
},
"CROP": {
"ENABLED": false,
"TYPE": "relative_range",
"SIZE": [
0.9,
0.9
]
},
"RANDOM_FLIP": {
"ENABLED": true,
"HORIZONTAL": true,
"VERTICAL": false
},
"COLOR_JITTER": {
"ENABLED": true,
"BRIGHTNESS": [
0.2,
0.2
],
"SATURATION": [
0.2,
0.2
],
"CONTRAST": [
0.2,
0.2
]
}
},
"MODEL": {
"DEVICE": "cuda",
"META_ARCHITECTURE": "DD3D",
"PIXEL_MEAN": [
103.53,
116.28,
123.675
],
"PIXEL_STD": [
57.375,
57.12,
58.395
],
"CKPT": "",
"BOX2D_ON": true,
"BOX3D_ON": true,
"DEPTH_ON": false,
"backbone_with_fpn": null,
"width_mult": 1.0,
"depth_mult": 1.0
},
"DATALOADER": {
"TRAIN": {
"NUM_WORKERS": 12,
"FILTER_EMPTY_ANNOTATIONS": true,
"SAMPLER": "RepeatFactorTrainingSampler",
"REPEAT_THRESHOLD": 0.4,
"ASPECT_RATIO_GROUPING": false
},
"TEST": {
"NUM_WORKERS": 4,
"SAMPLER": "InferenceSampler"
}
},
"SOLVER": {
"IMS_PER_BATCH": 64,
"BASE_LR": 0.002,
"MOMENTUM": 0.9,
"NESTEROV": false,
"WEIGHT_DECAY": 0.0001,
"WEIGHT_DECAY_NORM": 0.0,
"BIAS_LR_FACTOR": 1.0,
"WEIGHT_DECAY_BIAS": 0.0001,
"GAMMA": 0.1,
"LR_SCHEDULER_NAME": "WarmupMultiStepLR",
"STEPS": [
21500,
24000
],
"WARMUP_FACTOR": 0.0001,
"WARMUP_ITERS": 2000,
"WARMUP_METHOD": "linear",
"CLIP_GRADIENTS": {
"ENABLED": false,
"CLIP_TYPE": "value",
"CLIP_VALUE": 1.0,
"NORM_TYPE": 2.0
},
"CHECKPOINT_PERIOD": 2000,
"MIXED_PRECISION_ENABLED": true,
"DDP_FIND_UNUSED_PARAMETERS": false,
"ACCUMULATE_GRAD_BATCHES": 1,
"SYNCBN_USE_LOCAL_WORKERS": false,
"MAX_ITER": 25000
},
"TEST": {
"ENABLED": true,
"EVAL_PERIOD": 2000,
"EVAL_ON_START": false,
"ADDITIONAL_EVAL_STEPS": [],
"IMS_PER_BATCH": 80,
"AUG": {
"ENABLED": true,
"MIN_SIZES": [
320,
384,
448,
512,
576
],
"MAX_SIZE": 100000,
"FLIP": true
}
},
"EVALUATORS": {
"KITTI3D": {
"IOU_THRESHOLDS": [
0.5,
0.7
],
"ONLY_PREPARE_SUBMISSION": false
}
},
"CKPT": "https://tri-ml-public.s3.amazonaws.com/github/dd3d/pretrained/depth_pretrained_omninet-small-3nxjur71.pth"
}
[03/18 08:06:01 tridet.data.datasets.kitti_3d]: KITTI-3D dataset(s): kitti_3d_train, kitti_3d_val
[03/18 08:06:08 tridet.data.build]: Creating D2 dataset: 15 batches on rank 0.
7%|▋ | 1/15 [00:02<00:28, 2.04s/it][2023-03-18 08:06:11,063][root][INFO] - Reducer buckets have been rebuilt in this iteration.
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[2023-03-18 08:06:11,068][root][INFO] - Reducer buckets have been rebuilt in this iteration.
[2023-03-18 08:06:11,068][root][INFO] - Reducer buckets have been rebuilt in this iteration.
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13%|█▎ | 2/15 [00:02<00:11, 1.10it/s][2023-03-18 08:06:11,115][root][INFO] - Reducer buckets have been rebuilt in this iteration.
100%|██████████| 15/15 [00:03<00:00, 4.94it/s][03/18 08:06:11 tridet.data.build]: Gathering D2 dataset dicts from all GPU workers...
100%|██████████| 15/15 [00:02<00:00, 5.65it/s][03/18 08:06:13 tridet.data.build]: Done (length=3712, took=1.7s).
WARNING [03/18 08:06:13 tridet.utils.coco]: Using previously cached COCO format annotations at '/tmp/kitti_3d_train_coco_format.json'. You need to clear the cache file if your dataset has been modified.
[03/18 08:06:13 tridet.data.datasets.kitti_3d.build]: COCO json file: /tmp/kitti_3d_train_coco_format.json

[03/18 08:06:20 tridet.data.build]: Creating D2 dataset: 15 batches on rank 0.
7%|▋ | 1/15 [00:01<00:27, 1.97s/it][2023-03-18 08:06:23,076][root][INFO] - Reducer buckets have been rebuilt in this iteration.
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[2023-03-18 08:06:23,091][root][INFO] - Reducer buckets have been rebuilt in this iteration.
[2023-03-18 08:06:23,091][root][INFO] - Reducer buckets have been rebuilt in this iteration.
[2023-03-18 08:06:23,091][root][INFO] - Reducer buckets have been rebuilt in this iteration.
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[2023-03-18 08:06:23,136][root][INFO] - Reducer buckets have been rebuilt in this iteration.
100%|██████████| 15/15 [00:02<00:00, 5.69it/s][03/18 08:06:23 tridet.data.build]: Gathering D2 dataset dicts from all GPU workers...
100%|██████████| 15/15 [00:02<00:00, 5.67it/s][03/18 08:06:25 tridet.data.build]: Done (length=3769, took=1.5s).
WARNING [03/18 08:06:25 tridet.utils.coco]: Using previously cached COCO format annotations at '/tmp/kitti_3d_val_coco_format.json'. You need to clear the cache file if your dataset has been modified.
[03/18 08:06:25 tridet.data.datasets.kitti_3d.build]: COCO json file: /tmp/kitti_3d_val_coco_format.json
[03/18 08:06:25 tridet]: Registered 2 datasets:
kitti_3d_train
kitti_3d_val
[03/18 08:06:25 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=[288, 304, 320, 336, 352, 368, 384, 400, 416, 448, 480, 512, 544, 576], max_size=10000, sample_style='choice'), RandomFlip(), RandomBrightness(intensity_min=0.8, intensity_max=1.2), RandomSaturation(intensity_min=0.8, intensity_max=1.2), RandomContrast(intensity_min=0.8, intensity_max=1.2)]
[03/18 08:06:25 d2.data.build]: Removed 0 images with no usable annotations. 3712 images left.
[03/18 08:06:26 d2.data.build]: Distribution of instances among all 5 categories:

category #instances category #instances category #instances
Car 14357 Pedestrian 2207 Cyclist 734
Van 1297 Truck 488
total 19083
[03/18 08:06:26 d2.data.common]: Serializing 3712 elements to byte tensors and concatenating them all ...
[03/18 08:06:26 d2.data.common]: Serialized dataset takes 12.97 MiB
[03/18 08:06:26 tridet.data.build]: Using training sampler RepeatFactorTrainingSampler

2023-03-18 08:06:26,882][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 0
[2023-03-18 08:06:26,884][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 2
[2023-03-18 08:06:26,885][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 1
[2023-03-18 08:06:26,895][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 3
[2023-03-18 08:06:26,900][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 5
[2023-03-18 08:06:26,901][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 4
[2023-03-18 08:06:26,911][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 6
[2023-03-18 08:06:26,911][torch.distributed.distributed_c10d][INFO] - Added key: store_based_barrier_key:3 to store for rank: 7
[2023-03-18 08:06:26,911][torch.distributed.distributed_c10d][INFO] - Rank 6: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,911][torch.distributed.distributed_c10d][INFO] - Rank 5: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,912][torch.distributed.distributed_c10d][INFO] - Rank 7: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,912][torch.distributed.distributed_c10d][INFO] - Rank 4: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,914][torch.distributed.distributed_c10d][INFO] - Rank 0: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,916][torch.distributed.distributed_c10d][INFO] - Rank 3: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,916][torch.distributed.distributed_c10d][INFO] - Rank 2: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.
[2023-03-18 08:06:26,916][torch.distributed.distributed_c10d][INFO] - Rank 1: Completed store-based barrier for key:store_based_barrier_key:3 with 8 nodes.

[03/18 08:06:26 tridet]: Length of train dataset: 3712
[03/18 08:06:26 tridet]: Starting training

[2023-03-18 08:06:38,107][root][INFO] - Reducer buckets have been rebuilt in this iteration.
[2023-03-18 08:06:38,107][root][INFO] - Reducer buckets have been rebuilt in this iteration.
[2023-03-18 08:06:38,107][root][INFO] - Reducer buckets have been rebuilt in this iteration.
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[2023-03-18 08:06:38,297][root][INFO] - Reducer buckets have been rebuilt in this iteration.
[03/18 08:06:53 d2.utils.events]: iter: 20 total_loss: 313.7 loss_box2d_reg: 0.9839 loss_box3d_depth: 8.246 loss_box3d_proj_ctr: 0.5431 loss_box3d_quat: 2.739 loss_box3d_size: 1.337 loss_centerness: 0.829 loss_cls: 297.5 loss_conf3d: 1.106 lr: 1.9198e-05 max_mem: 5630M
[03/18 08:07:11 d2.utils.events]: eta: 6:05:01 iter: 40 total_loss: 16.35 loss_box2d_reg: 0.9829 loss_box3d_depth: 7.286 loss_box3d_proj_ctr: 0.4852 loss_box3d_quat: 2.643 loss_box3d_size: 1.003 loss_centerness: 0.7814 loss_cls: 2.374 loss_conf3d: 0.6532 lr: 3.9196e-05 max_mem: 5630M
[03/18 08:07:29 d2.utils.events]: eta: 6:15:22 iter: 60 total_loss: 15.62 loss_box2d_reg: 0.9841 loss_box3d_depth: 7.074 loss_box3d_proj_ctr: 0.4394 loss_box3d_quat: 2.56 loss_box3d_size: 0.8469 loss_centerness: 0.7516 loss_cls: 2.424 loss_conf3d: 0.4763 lr: 5.9194e-05 max_mem: 5630M
[03/18 08:07:45 d2.utils.events]: eta: 5:43:40 iter: 80 total_loss: 14.58 loss_box2d_reg: 0.9868 loss_box3d_depth: 6.905 loss_box3d_proj_ctr: 0.4186 loss_box3d_quat: 2.341 loss_box3d_size: 0.6894 loss_centerness: 0.7354 loss_cls: 2.056 loss_conf3d: 0.434 lr: 7.9192e-05 max_mem: 5630M
[03/18 08:08:02 d2.utils.events]: eta: 5:47:47 iter: 100 total_loss: 13.93 loss_box2d_reg: 0.9874 loss_box3d_depth: 6.831 loss_box3d_proj_ctr: 0.4029 loss_box3d_quat: 2.229 loss_box3d_size: 0.5956 loss_centerness: 0.7245 loss_cls: 1.662 loss_conf3d: 0.412 lr: 9.919e-05 max_mem: 5630M
[03/18 08:08:18 d2.utils.events]: eta: 5:30:20 iter: 120 total_loss: 13.23 loss_box2d_reg: 0.9885 loss_box3d_depth: 6.772 loss_box3d_proj_ctr: 0.4011 loss_box3d_quat: 2.174 loss_box3d_size: 0.5176 loss_centerness: 0.7142 loss_cls: 1.31 loss_conf3d: 0.4019 lr: 0.00011919 max_mem: 5630M
[03/18 08:08:35 d2.utils.events]: eta: 5:53:07 iter: 140 total_loss: 12.69 loss_box2d_reg: 0.9886 loss_box3d_depth: 6.417 loss_box3d_proj_ctr: 0.3833 loss_box3d_quat: 2.155 loss_box3d_size: 0.4419 loss_centerness: 0.7073 loss_cls: 1.047 loss_conf3d: 0.4043 lr: 0.00013919 max_mem: 5630M
[03/18 08:08:52 d2.utils.events]: eta: 5:50:52 iter: 160 total_loss: 12.11 loss_box2d_reg: 0.9847 loss_box3d_depth: 6.238 loss_box3d_proj_ctr: 0.3848 loss_box3d_quat: 2.105 loss_box3d_size: 0.4187 loss_centerness: 0.7041 loss_cls: 0.8634 loss_conf3d: 0.4038 lr: 0.00015918 max_mem: 5630M
[03/18 08:09:08 d2.utils.events]: eta: 5:36:01 iter: 180 total_loss: 11.85 loss_box2d_reg: 0.9781 loss_box3d_depth: 6.133 loss_box3d_proj_ctr: 0.3975 loss_box3d_quat: 2.138 loss_box3d_size: 0.4007 loss_centerness: 0.7013 loss_cls: 0.8141 loss_conf3d: 0.4097 lr: 0.00017918 max_mem: 5630M
[03/18 08:09:25 d2.utils.events]: eta: 5:49:53 iter: 200 total_loss: 11.32 loss_box2d_reg: 0.9691 loss_box3d_depth: 5.581 loss_box3d_proj_ctr: 0.3858 loss_box3d_quat: 2.057 loss_box3d_size: 0.3819 loss_centerness: 0.6958 loss_cls: 0.7868 loss_conf3d: 0.4348 lr: 0.00019918 max_mem: 5630M
[03/18 08:09:42 d2.utils.events]: eta: 5:50:24 iter: 220 total_loss: 10.9 loss_box2d_reg: 0.9443 loss_box3d_depth: 5.266 loss_box3d_proj_ctr: 0.3807 loss_box3d_quat: 2.119 loss_box3d_size: 0.358 loss_centerness: 0.6976 loss_cls: 0.7606 loss_conf3d: 0.436 lr: 0.00021918 max_mem: 5631M
[03/18 08:09:59 d2.utils.events]: eta: 5:36:50 iter: 240 total_loss: 10.65 loss_box2d_reg: 0.8994 loss_box3d_depth: 5.054 loss_box3d_proj_ctr: 0.3808 loss_box3d_quat: 2.041 loss_box3d_size: 0.3253 loss_centerness: 0.6955 loss_cls: 0.7061 loss_conf3d: 0.4434 lr: 0.00023918 max_mem: 5631M
[03/18 08:10:16 d2.utils.events]: eta: 6:03:12 iter: 260 total_loss: 10.58 loss_box2d_reg: 0.8071 loss_box3d_depth: 5.113 loss_box3d_proj_ctr: 0.3784 loss_box3d_quat: 2.126 loss_box3d_size: 0.3223 loss_centerness: 0.6966 loss_cls: 0.6927 loss_conf3d: 0.4359 lr: 0.00025917 max_mem: 5631M
[03/18 08:10:34 d2.utils.events]: eta: 6:12:29 iter: 280 total_loss: 9.967 loss_box2d_reg: 0.7079 loss_box3d_depth: 4.762 loss_box3d_proj_ctr: 0.3807 loss_box3d_quat: 2.071 loss_box3d_size: 0.3053 loss_centerness: 0.697 loss_cls: 0.6697 loss_conf3d: 0.4572 lr: 0.00027917 max_mem: 5631M
[03/18 08:10:52 d2.utils.events]: eta: 6:00:41 iter: 300 total_loss: 9.587 loss_box2d_reg: 0.6188 loss_box3d_depth: 4.493 loss_box3d_proj_ctr: 0.3809 loss_box3d_quat: 2.019 loss_box3d_size: 0.2915 loss_centerness: 0.6956 loss_cls: 0.6371 loss_conf3d: 0.4666 lr: 0.00029917 max_mem: 5631M
[03/18 08:11:09 d2.utils.events]: eta: 6:02:27 iter: 320 total_loss: 9.218 loss_box2d_reg: 0.5775 loss_box3d_depth: 4.211 loss_box3d_proj_ctr: 0.3782 loss_box3d_quat: 2.049 loss_box3d_size: 0.2695 loss_centerness: 0.6879 loss_cls: 0.6051 loss_conf3d: 0.4795 lr: 0.00031917 max_mem: 5631M
[03/18 08:11:26 d2.utils.events]: eta: 5:46:55 iter: 340 total_loss: 9.233 loss_box2d_reg: 0.5667 loss_box3d_depth: 4.277 loss_box3d_proj_ctr: 0.3803 loss_box3d_quat: 1.974 loss_box3d_size: 0.2613 loss_centerness: 0.6883 loss_cls: 0.5957 loss_conf3d: 0.4734 lr: 0.00033917 max_mem: 5631M
[03/18 08:11:42 d2.utils.events]: eta: 5:31:08 iter: 360 total_loss: 8.959 loss_box2d_reg: 0.5531 loss_box3d_depth: 3.969 loss_box3d_proj_ctr: 0.377 loss_box3d_quat: 1.966 loss_box3d_size: 0.2622 loss_centerness: 0.683 loss_cls: 0.5763 loss_conf3d: 0.4865 lr: 0.00035916 max_mem: 5631M
[03/18 08:11:59 d2.utils.events]: eta: 5:48:45 iter: 380 total_loss: 8.931 loss_box2d_reg: 0.5438 loss_box3d_depth: 3.986 loss_box3d_proj_ctr: 0.3742 loss_box3d_quat: 2.071 loss_box3d_size: 0.2466 loss_centerness: 0.6847 loss_cls: 0.5473 loss_conf3d: 0.4756 lr: 0.00037916 max_mem: 5631M
[03/18 08:12:16 d2.utils.events]: eta: 5:44:59 iter: 400 total_loss: 8.547 loss_box2d_reg: 0.53 loss_box3d_depth: 3.688 loss_box3d_proj_ctr: 0.3782 loss_box3d_quat: 2.032 loss_box3d_size: 0.2267 loss_centerness: 0.6795 loss_cls: 0.5292 loss_conf3d: 0.4964 lr: 0.00039916 max_mem: 5631M
[03/18 08:12:33 d2.utils.events]: eta: 5:41:55 iter: 420 total_loss: 8.449 loss_box2d_reg: 0.5203 loss_box3d_depth: 3.59 loss_box3d_proj_ctr: 0.3694 loss_box3d_quat: 2.06 loss_box3d_size: 0.2328 loss_centerness: 0.6779 loss_cls: 0.5298 loss_conf3d: 0.5062 lr: 0.00041916 max_mem: 5631M
[03/18 08:12:50 d2.utils.events]: eta: 5:58:25 iter: 440 total_loss: 8.701 loss_box2d_reg: 0.5144 loss_box3d_depth: 3.845 loss_box3d_proj_ctr: 0.3692 loss_box3d_quat: 2.052 loss_box3d_size: 0.2305 loss_centerness: 0.6765 loss_cls: 0.5357 loss_conf3d: 0.496 lr: 0.00043916 max_mem: 5631M
[03/18 08:13:08 d2.utils.events]: eta: 6:03:39 iter: 460 total_loss: 8.406 loss_box2d_reg: 0.5114 loss_box3d_depth: 3.646 loss_box3d_proj_ctr: 0.3705 loss_box3d_quat: 2.024 loss_box3d_size: 0.2223 loss_centerness: 0.6749 loss_cls: 0.5159 loss_conf3d: 0.5056 lr: 0.00045915 max_mem: 5631M
[03/18 08:13:25 d2.utils.events]: eta: 5:35:23 iter: 480 total_loss: 8.059 loss_box2d_reg: 0.495 loss_box3d_depth: 3.274 loss_box3d_proj_ctr: 0.3645 loss_box3d_quat: 1.989 loss_box3d_size: 0.2091 loss_centerness: 0.673 loss_cls: 0.4985 loss_conf3d: 0.5236 lr: 0.00047915 max_mem: 5631M
[03/18 08:13:43 d2.utils.events]: eta: 6:09:42 iter: 500 total_loss: 8.048 loss_box2d_reg: 0.4968 loss_box3d_depth: 3.301 loss_box3d_proj_ctr: 0.3631 loss_box3d_quat: 2.007 loss_box3d_size: 0.2059 loss_centerness: 0.6718 loss_cls: 0.4829 loss_conf3d: 0.5226 lr: 0.00049915 max_mem: 5631M
[03/18 08:14:02 d2.utils.events]: eta: 6:22:45 iter: 520 total_loss: 7.996 loss_box2d_reg: 0.4874 loss_box3d_depth: 3.196 loss_box3d_proj_ctr: 0.3659 loss_box3d_quat: 2.018 loss_box3d_size: 0.2089 loss_centerness: 0.6704 loss_cls: 0.482 loss_conf3d: 0.5192 lr: 0.00051915 max_mem: 5631M
[03/18 08:14:19 d2.utils.events]: eta: 5:52:08 iter: 540 total_loss: 8.394 loss_box2d_reg: 0.4856 loss_box3d_depth: 3.628 loss_box3d_proj_ctr: 0.3581 loss_box3d_quat: 2.013 loss_box3d_size: 0.2012 loss_centerness: 0.6691 loss_cls: 0.4796 loss_conf3d: 0.5054 lr: 0.00053915 max_mem: 5631M
[03/18 08:14:36 d2.utils.events]: eta: 5:56:55 iter: 560 total_loss: 7.878 loss_box2d_reg: 0.4753 loss_box3d_depth: 3.151 loss_box3d_proj_ctr: 0.3652 loss_box3d_quat: 2.065 loss_box3d_size: 0.1987 loss_centerness: 0.6684 loss_cls: 0.4594 loss_conf3d: 0.5235 lr: 0.00055914 max_mem: 5631M
[03/18 08:14:54 d2.utils.events]: eta: 5:59:40 iter: 580 total_loss: 7.752 loss_box2d_reg: 0.4706 loss_box3d_depth: 3.02 loss_box3d_proj_ctr: 0.3588 loss_box3d_quat: 2.003 loss_box3d_size: 0.1921 loss_centerness: 0.666 loss_cls: 0.4479 loss_conf3d: 0.5276 lr: 0.00057914 max_mem: 5631M
[03/18 08:15:11 d2.utils.events]: eta: 5:50:34 iter: 600 total_loss: 7.661 loss_box2d_reg: 0.4639 loss_box3d_depth: 2.968 loss_box3d_proj_ctr: 0.3508 loss_box3d_quat: 1.98 loss_box3d_size: 0.198 loss_centerness: 0.6653 loss_cls: 0.4515 loss_conf3d: 0.5431 lr: 0.00059914 max_mem: 5631M
[03/18 08:15:29 d2.utils.events]: eta: 6:02:12 iter: 620 total_loss: 7.837 loss_box2d_reg: 0.4569 loss_box3d_depth: 3.175 loss_box3d_proj_ctr: 0.3568 loss_box3d_quat: 1.978 loss_box3d_size: 0.1946 loss_centerness: 0.6636 loss_cls: 0.4433 loss_conf3d: 0.521 lr: 0.00061914 max_mem: 5631M
[03/18 08:15:47 d2.utils.events]: eta: 6:07:58 iter: 640 total_loss: 7.4 loss_box2d_reg: 0.4518 loss_box3d_depth: 2.776 loss_box3d_proj_ctr: 0.3484 loss_box3d_quat: 2.027 loss_box3d_size: 0.1891 loss_centerness: 0.6632 loss_cls: 0.4388 loss_conf3d: 0.5476 lr: 0.00063914 max_mem: 5631M
[03/18 08:16:05 d2.utils.events]: eta: 6:00:15 iter: 660 total_loss: 7.444 loss_box2d_reg: 0.4427 loss_box3d_depth: 2.746 loss_box3d_proj_ctr: 0.3471 loss_box3d_quat: 2.013 loss_box3d_size: 0.1857 loss_centerness: 0.6616 loss_cls: 0.4334 loss_conf3d: 0.5383 lr: 0.00065913 max_mem: 5631M
[03/18 08:16:23 d2.utils.events]: eta: 6:05:13 iter: 680 total_loss: 7.34 loss_box2d_reg: 0.4486 loss_box3d_depth: 2.729 loss_box3d_proj_ctr: 0.3551 loss_box3d_quat: 2.051 loss_box3d_size: 0.1861 loss_centerness: 0.6625 loss_cls: 0.4228 loss_conf3d: 0.5446 lr: 0.00067913 max_mem: 5631M
[03/18 08:16:41 d2.utils.events]: eta: 6:12:37 iter: 700 total_loss: 7.324 loss_box2d_reg: 0.4437 loss_box3d_depth: 2.778 loss_box3d_proj_ctr: 0.3369 loss_box3d_quat: 1.895 loss_box3d_size: 0.1822 loss_centerness: 0.6604 loss_cls: 0.421 loss_conf3d: 0.5549 lr: 0.00069913 max_mem: 5631M
[03/18 08:16:59 d2.utils.events]: eta: 5:53:25 iter: 720 total_loss: 7.247 loss_box2d_reg: 0.4349 loss_box3d_depth: 2.665 loss_box3d_proj_ctr: 0.3395 loss_box3d_quat: 2.071 loss_box3d_size: 0.1832 loss_centerness: 0.66 loss_cls: 0.4182 loss_conf3d: 0.5483 lr: 0.00071913 max_mem: 5631M
[03/18 08:17:18 d2.utils.events]: eta: 6:25:09 iter: 740 total_loss: 7.225 loss_box2d_reg: 0.427 loss_box3d_depth: 2.573 loss_box3d_proj_ctr: 0.3331 loss_box3d_quat: 2.058 loss_box3d_size: 0.1827 loss_centerness: 0.6577 loss_cls: 0.4156 loss_conf3d: 0.5472 lr: 0.00073913 max_mem: 5631M
[03/18 08:17:37 d2.utils.events]: eta: 6:18:08 iter: 760 total_loss: 7.479 loss_box2d_reg: 0.4307 loss_box3d_depth: 2.97 loss_box3d_proj_ctr: 0.3494 loss_box3d_quat: 2.002 loss_box3d_size: 0.1835 loss_centerness: 0.6579 loss_cls: 0.4124 loss_conf3d: 0.539 lr: 0.00075912 max_mem: 5631M
[03/18 08:17:55 d2.utils.events]: eta: 6:13:52 iter: 780 total_loss: 7.41 loss_box2d_reg: 0.4249 loss_box3d_depth: 2.805 loss_box3d_proj_ctr: 0.3338 loss_box3d_quat: 2.003 loss_box3d_size: 0.1762 loss_centerness: 0.6576 loss_cls: 0.4098 loss_conf3d: 0.5387 lr: 0.00077912 max_mem: 5631M
[03/18 08:18:14 d2.utils.events]: eta: 6:14:02 iter: 800 total_loss: 7.089 loss_box2d_reg: 0.4275 loss_box3d_depth: 2.618 loss_box3d_proj_ctr: 0.3316 loss_box3d_quat: 2.004 loss_box3d_size: 0.1814 loss_centerness: 0.6576 loss_cls: 0.4038 loss_conf3d: 0.5579 lr: 0.00079912 max_mem: 5632M
[03/18 08:18:32 d2.utils.events]: eta: 6:06:57 iter: 820 total_loss: 7.155 loss_box2d_reg: 0.4229 loss_box3d_depth: 2.65 loss_box3d_proj_ctr: 0.3232 loss_box3d_quat: 2.034 loss_box3d_size: 0.1791 loss_centerness: 0.6558 loss_cls: 0.4 loss_conf3d: 0.5496 lr: 0.00081912 max_mem: 5632M
[03/18 08:18:49 d2.utils.events]: eta: 5:45:03 iter: 840 total_loss: 6.939 loss_box2d_reg: 0.4146 loss_box3d_depth: 2.444 loss_box3d_proj_ctr: 0.3215 loss_box3d_quat: 2.012 loss_box3d_size: 0.1754 loss_centerness: 0.6562 loss_cls: 0.3967 loss_conf3d: 0.5615 lr: 0.00083912 max_mem: 5632M
[03/18 08:19:07 d2.utils.events]: eta: 6:01:24 iter: 860 total_loss: 7.042 loss_box2d_reg: 0.4196 loss_box3d_depth: 2.52 loss_box3d_proj_ctr: 0.3196 loss_box3d_quat: 1.966 loss_box3d_size: 0.1746 loss_centerness: 0.6566 loss_cls: 0.3916 loss_conf3d: 0.5585 lr: 0.00085911 max_mem: 5632M
[03/18 08:19:25 d2.utils.events]: eta: 6:08:57 iter: 880 total_loss: 7.178 loss_box2d_reg: 0.4112 loss_box3d_depth: 2.596 loss_box3d_proj_ctr: 0.3241 loss_box3d_quat: 1.964 loss_box3d_size: 0.1747 loss_centerness: 0.6557 loss_cls: 0.389 loss_conf3d: 0.5442 lr: 0.00087911 max_mem: 5632M
[03/18 08:19:43 d2.utils.events]: eta: 5:47:11 iter: 900 total_loss: 6.987 loss_box2d_reg: 0.4133 loss_box3d_depth: 2.505 loss_box3d_proj_ctr: 0.3177 loss_box3d_quat: 1.967 loss_box3d_size: 0.165 loss_centerness: 0.6551 loss_cls: 0.3895 loss_conf3d: 0.5635 lr: 0.00089911 max_mem: 5632M
[03/18 08:20:01 d2.utils.events]: eta: 6:12:12 iter: 920 total_loss: 6.741 loss_box2d_reg: 0.399 loss_box3d_depth: 2.223 loss_box3d_proj_ctr: 0.3157 loss_box3d_quat: 2.062 loss_box3d_size: 0.1692 loss_centerness: 0.6537 loss_cls: 0.3846 loss_conf3d: 0.572 lr: 0.00091911 max_mem: 5632M
[03/18 08:20:19 d2.utils.events]: eta: 6:05:16 iter: 940 total_loss: 6.783 loss_box2d_reg: 0.4011 loss_box3d_depth: 2.258 loss_box3d_proj_ctr: 0.315 loss_box3d_quat: 1.948 loss_box3d_size: 0.1725 loss_centerness: 0.6535 loss_cls: 0.3873 loss_conf3d: 0.5749 lr: 0.00093911 max_mem: 5632M
[03/18 08:20:37 d2.utils.events]: eta: 5:46:51 iter: 960 total_loss: 6.665 loss_box2d_reg: 0.3935 loss_box3d_depth: 2.254 loss_box3d_proj_ctr: 0.3167 loss_box3d_quat: 1.942 loss_box3d_size: 0.1703 loss_centerness: 0.6518 loss_cls: 0.3809 loss_conf3d: 0.5796 lr: 0.0009591 max_mem: 5632M
[03/18 08:20:56 d2.utils.events]: eta: 6:30:48 iter: 980 total_loss: 6.87 loss_box2d_reg: 0.3943 loss_box3d_depth: 2.313 loss_box3d_proj_ctr: 0.3179 loss_box3d_quat: 1.956 loss_box3d_size: 0.1642 loss_centerness: 0.6527 loss_cls: 0.38 loss_conf3d: 0.5673 lr: 0.0009791 max_mem: 5632M
[03/18 08:21:15 d2.utils.events]: eta: 6:18:15 iter: 1000 total_loss: 6.81 loss_box2d_reg: 0.3928 loss_box3d_depth: 2.418 loss_box3d_proj_ctr: 0.3128 loss_box3d_quat: 1.942 loss_box3d_size: 0.1678 loss_centerness: 0.6514 loss_cls: 0.3743 loss_conf3d: 0.5641 lr: 0.0009991 max_mem: 5632M
[03/18 08:21:38 d2.utils.events]: eta: 7:39:37 iter: 1020 total_loss: 6.905 loss_box2d_reg: 0.3801 loss_box3d_depth: 2.482 loss_box3d_proj_ctr: 0.3116 loss_box3d_quat: 1.942 loss_box3d_size: 0.1705 loss_centerness: 0.6507 loss_cls: 0.3672 loss_conf3d: 0.5583 lr: 0.0010191 max_mem: 5632M
[03/18 08:21:57 d2.utils.events]: eta: 6:12:08 iter: 1040 total_loss: 6.639 loss_box2d_reg: 0.3866 loss_box3d_depth: 2.269 loss_box3d_proj_ctr: 0.3061 loss_box3d_quat: 1.967 loss_box3d_size: 0.164 loss_centerness: 0.6509 loss_cls: 0.3658 loss_conf3d: 0.5779 lr: 0.0010391 max_mem: 5632M
[03/18 08:22:15 d2.utils.events]: eta: 6:11:48 iter: 1060 total_loss: 6.67 loss_box2d_reg: 0.3877 loss_box3d_depth: 2.281 loss_box3d_proj_ctr: 0.305 loss_box3d_quat: 1.972 loss_box3d_size: 0.1642 loss_centerness: 0.651 loss_cls: 0.3669 loss_conf3d: 0.5748 lr: 0.0010591 max_mem: 5632M
[03/18 08:22:33 d2.utils.events]: eta: 5:52:40 iter: 1080 total_loss: 6.735 loss_box2d_reg: 0.3809 loss_box3d_depth: 2.261 loss_box3d_proj_ctr: 0.3159 loss_box3d_quat: 1.955 loss_box3d_size: 0.1634 loss_centerness: 0.6518 loss_cls: 0.3699 loss_conf3d: 0.5751 lr: 0.0010791 max_mem: 5632M
[03/18 08:22:51 d2.utils.events]: eta: 5:57:27 iter: 1100 total_loss: 6.578 loss_box2d_reg: 0.3794 loss_box3d_depth: 2.198 loss_box3d_proj_ctr: 0.306 loss_box3d_quat: 1.953 loss_box3d_size: 0.1629 loss_centerness: 0.6504 loss_cls: 0.3662 loss_conf3d: 0.5751 lr: 0.0010991 max_mem: 5632M
[03/18 08:23:09 d2.utils.events]: eta: 5:59:44 iter: 1120 total_loss: 6.641 loss_box2d_reg: 0.3826 loss_box3d_depth: 2.281 loss_box3d_proj_ctr: 0.3073 loss_box3d_quat: 1.879 loss_box3d_size: 0.156 loss_centerness: 0.6519 loss_cls: 0.3631 loss_conf3d: 0.5691 lr: 0.0011191 max_mem: 5632M
[03/18 08:23:27 d2.utils.events]: eta: 6:01:38 iter: 1140 total_loss: 6.661 loss_box2d_reg: 0.3768 loss_box3d_depth: 2.177 loss_box3d_proj_ctr: 0.3096 loss_box3d_quat: 1.997 loss_box3d_size: 0.1643 loss_centerness: 0.6498 loss_cls: 0.3563 loss_conf3d: 0.5694 lr: 0.0011391 max_mem: 5632M
[03/18 08:23:46 d2.utils.events]: eta: 6:10:59 iter: 1160 total_loss: 6.691 loss_box2d_reg: 0.3709 loss_box3d_depth: 2.344 loss_box3d_proj_ctr: 0.3047 loss_box3d_quat: 1.934 loss_box3d_size: 0.1581 loss_centerness: 0.6487 loss_cls: 0.3619 loss_conf3d: 0.5679 lr: 0.0011591 max_mem: 5632M
[03/18 08:24:04 d2.utils.events]: eta: 6:04:55 iter: 1180 total_loss: 7.015 loss_box2d_reg: 0.3737 loss_box3d_depth: 2.619 loss_box3d_proj_ctr: 0.3101 loss_box3d_quat: 1.944 loss_box3d_size: 0.1604 loss_centerness: 0.6485 loss_cls: 0.3585 loss_conf3d: 0.5463 lr: 0.0011791 max_mem: 5632M
[03/18 08:24:23 d2.utils.events]: eta: 6:05:43 iter: 1200 total_loss: 6.973 loss_box2d_reg: 0.3769 loss_box3d_depth: 2.603 loss_box3d_proj_ctr: 0.3047 loss_box3d_quat: 1.943 loss_box3d_size: 0.1655 loss_centerness: 0.6503 loss_cls: 0.3687 loss_conf3d: 0.5576 lr: 0.0011991 max_mem: 5632M
[03/18 08:24:42 d2.utils.events]: eta: 6:18:14 iter: 1220 total_loss: 6.539 loss_box2d_reg: 0.375 loss_box3d_depth: 2.191 loss_box3d_proj_ctr: 0.3045 loss_box3d_quat: 1.939 loss_box3d_size: 0.1591 loss_centerness: 0.651 loss_cls: 0.3683 loss_conf3d: 0.5825 lr: 0.0012191 max_mem: 5632M
[03/18 08:25:02 d2.utils.events]: eta: 6:28:30 iter: 1240 total_loss: 6.376 loss_box2d_reg: 0.3713 loss_box3d_depth: 2.121 loss_box3d_proj_ctr: 0.2918 loss_box3d_quat: 1.792 loss_box3d_size: 0.1579 loss_centerness: 0.6496 loss_cls: 0.3558 loss_conf3d: 0.6053 lr: 0.0012391 max_mem: 5632M
[03/18 08:25:20 d2.utils.events]: eta: 6:05:09 iter: 1260 total_loss: 6.324 loss_box2d_reg: 0.3733 loss_box3d_depth: 2.279 loss_box3d_proj_ctr: 0.3035 loss_box3d_quat: 1.608 loss_box3d_size: 0.1526 loss_centerness: 0.6486 loss_cls: 0.3618 loss_conf3d: 0.6009 lr: 0.0012591 max_mem: 5632M
[03/18 08:25:39 d2.utils.events]: eta: 6:15:00 iter: 1280 total_loss: 6.361 loss_box2d_reg: 0.3683 loss_box3d_depth: 2.268 loss_box3d_proj_ctr: 0.31 loss_box3d_quat: 1.615 loss_box3d_size: 0.1639 loss_centerness: 0.6491 loss_cls: 0.3582 loss_conf3d: 0.6014 lr: 0.0012791 max_mem: 5632M
[03/18 08:25:58 d2.utils.events]: eta: 6:07:48 iter: 1300 total_loss: 6.099 loss_box2d_reg: 0.3677 loss_box3d_depth: 2.089 loss_box3d_proj_ctr: 0.3075 loss_box3d_quat: 1.525 loss_box3d_size: 0.165 loss_centerness: 0.6499 loss_cls: 0.3592 loss_conf3d: 0.6165 lr: 0.0012991 max_mem: 5632M
[03/18 08:26:16 d2.utils.events]: eta: 5:54:22 iter: 1320 total_loss: 6.157 loss_box2d_reg: 0.3632 loss_box3d_depth: 2.209 loss_box3d_proj_ctr: 0.3017 loss_box3d_quat: 1.495 loss_box3d_size: 0.1633 loss_centerness: 0.6475 loss_cls: 0.3518 loss_conf3d: 0.614 lr: 0.0013191 max_mem: 5632M
[03/18 08:26:35 d2.utils.events]: eta: 6:20:50 iter: 1340 total_loss: 6.085 loss_box2d_reg: 0.3638 loss_box3d_depth: 2.133 loss_box3d_proj_ctr: 0.3024 loss_box3d_quat: 1.456 loss_box3d_size: 0.1624 loss_centerness: 0.6482 loss_cls: 0.3557 loss_conf3d: 0.6216 lr: 0.0013391 max_mem: 5632M
[03/18 08:26:54 d2.utils.events]: eta: 6:10:26 iter: 1360 total_loss: 6.072 loss_box2d_reg: 0.368 loss_box3d_depth: 2.166 loss_box3d_proj_ctr: 0.3054 loss_box3d_quat: 1.49 loss_box3d_size: 0.1599 loss_centerness: 0.6474 loss_cls: 0.3537 loss_conf3d: 0.6147 lr: 0.0013591 max_mem: 5632M
[03/18 08:27:12 d2.utils.events]: eta: 6:05:03 iter: 1380 total_loss: 5.727 loss_box2d_reg: 0.3611 loss_box3d_depth: 1.988 loss_box3d_proj_ctr: 0.3012 loss_box3d_quat: 1.322 loss_box3d_size: 0.156 loss_centerness: 0.6484 loss_cls: 0.3463 loss_conf3d: 0.6342 lr: 0.0013791 max_mem: 5632M
[03/18 08:27:31 d2.utils.events]: eta: 6:09:04 iter: 1400 total_loss: 5.808 loss_box2d_reg: 0.3535 loss_box3d_depth: 2.093 loss_box3d_proj_ctr: 0.3004 loss_box3d_quat: 1.284 loss_box3d_size: 0.1502 loss_centerness: 0.6469 loss_cls: 0.3494 loss_conf3d: 0.6318 lr: 0.0013991 max_mem: 5632M
[03/18 08:27:50 d2.utils.events]: eta: 6:12:05 iter: 1420 total_loss: 5.784 loss_box2d_reg: 0.3496 loss_box3d_depth: 2.005 loss_box3d_proj_ctr: 0.2989 loss_box3d_quat: 1.343 loss_box3d_size: 0.1568 loss_centerness: 0.6455 loss_cls: 0.3433 loss_conf3d: 0.6302 lr: 0.0014191 max_mem: 5632M
[03/18 08:28:09 d2.utils.events]: eta: 6:04:13 iter: 1440 total_loss: 5.8 loss_box2d_reg: 0.3531 loss_box3d_depth: 2.089 loss_box3d_proj_ctr: 0.2929 loss_box3d_quat: 1.318 loss_box3d_size: 0.1598 loss_centerness: 0.6463 loss_cls: 0.3447 loss_conf3d: 0.6293 lr: 0.0014391 max_mem: 5632M
[03/18 08:28:28 d2.utils.events]: eta: 6:29:27 iter: 1460 total_loss: 5.891 loss_box2d_reg: 0.3608 loss_box3d_depth: 2.124 loss_box3d_proj_ctr: 0.292 loss_box3d_quat: 1.325 loss_box3d_size: 0.1578 loss_centerness: 0.6478 loss_cls: 0.3528 loss_conf3d: 0.6313 lr: 0.0014591 max_mem: 5632M
[03/18 08:28:48 d2.utils.events]: eta: 6:21:46 iter: 1480 total_loss: 5.804 loss_box2d_reg: 0.3537 loss_box3d_depth: 2.145 loss_box3d_proj_ctr: 0.3021 loss_box3d_quat: 1.24 loss_box3d_size: 0.1523 loss_centerness: 0.6464 loss_cls: 0.3407 loss_conf3d: 0.6331 lr: 0.0014791 max_mem: 5632M
[03/18 08:29:07 d2.utils.events]: eta: 6:08:08 iter: 1500 total_loss: 6.109 loss_box2d_reg: 0.3569 loss_box3d_depth: 2.405 loss_box3d_proj_ctr: 0.301 loss_box3d_quat: 1.284 loss_box3d_size: 0.1531 loss_centerness: 0.6459 loss_cls: 0.3489 loss_conf3d: 0.6149 lr: 0.0014991 max_mem: 5632M
[03/18 08:29:25 d2.utils.events]: eta: 6:05:07 iter: 1520 total_loss: 5.78 loss_box2d_reg: 0.3539 loss_box3d_depth: 2.094 loss_box3d_proj_ctr: 0.2956 loss_box3d_quat: 1.225 loss_box3d_size: 0.1588 loss_centerness: 0.6471 loss_cls: 0.3409 loss_conf3d: 0.6292 lr: 0.001519 max_mem: 5632M
[03/18 08:29:44 d2.utils.events]: eta: 5:57:01 iter: 1540 total_loss: 5.629 loss_box2d_reg: 0.3464 loss_box3d_depth: 2.034 loss_box3d_proj_ctr: 0.2877 loss_box3d_quat: 1.189 loss_box3d_size: 0.1499 loss_centerness: 0.6435 loss_cls: 0.3288 loss_conf3d: 0.6345 lr: 0.001539 max_mem: 5632M
[03/18 08:30:01 d2.utils.events]: eta: 5:48:09 iter: 1560 total_loss: 5.533 loss_box2d_reg: 0.3415 loss_box3d_depth: 1.951 loss_box3d_proj_ctr: 0.2918 loss_box3d_quat: 1.182 loss_box3d_size: 0.1534 loss_centerness: 0.6448 loss_cls: 0.3316 loss_conf3d: 0.637 lr: 0.001559 max_mem: 5632M
[03/18 08:30:21 d2.utils.events]: eta: 6:20:16 iter: 1580 total_loss: 6.106 loss_box2d_reg: 0.351 loss_box3d_depth: 2.564 loss_box3d_proj_ctr: 0.2969 loss_box3d_quat: 1.215 loss_box3d_size: 0.1525 loss_centerness: 0.6448 loss_cls: 0.3347 loss_conf3d: 0.6149 lr: 0.001579 max_mem: 5632M
[03/18 08:30:39 d2.utils.events]: eta: 6:00:58 iter: 1600 total_loss: 5.755 loss_box2d_reg: 0.3522 loss_box3d_depth: 2.135 loss_box3d_proj_ctr: 0.2831 loss_box3d_quat: 1.191 loss_box3d_size: 0.1524 loss_centerness: 0.646 loss_cls: 0.3369 loss_conf3d: 0.6341 lr: 0.001599 max_mem: 5632M
[03/18 08:30:57 d2.utils.events]: eta: 5:52:18 iter: 1620 total_loss: 5.558 loss_box2d_reg: 0.3479 loss_box3d_depth: 2.041 loss_box3d_proj_ctr: 0.2937 loss_box3d_quat: 1.187 loss_box3d_size: 0.1515 loss_centerness: 0.6454 loss_cls: 0.3347 loss_conf3d: 0.6389 lr: 0.001619 max_mem: 5632M
[03/18 08:31:16 d2.utils.events]: eta: 5:58:20 iter: 1640 total_loss: 5.535 loss_box2d_reg: 0.3432 loss_box3d_depth: 1.971 loss_box3d_proj_ctr: 0.2949 loss_box3d_quat: 1.18 loss_box3d_size: 0.1521 loss_centerness: 0.6447 loss_cls: 0.3311 loss_conf3d: 0.6382 lr: 0.001639 max_mem: 5632M
[03/18 08:31:35 d2.utils.events]: eta: 6:13:50 iter: 1660 total_loss: 5.641 loss_box2d_reg: 0.3409 loss_box3d_depth: 2.094 loss_box3d_proj_ctr: 0.2829 loss_box3d_quat: 1.119 loss_box3d_size: 0.1496 loss_centerness: 0.6433 loss_cls: 0.3285 loss_conf3d: 0.6339 lr: 0.001659 max_mem: 5632M
[03/18 08:31:53 d2.utils.events]: eta: 5:48:47 iter: 1680 total_loss: 5.577 loss_box2d_reg: 0.3472 loss_box3d_depth: 2.003 loss_box3d_proj_ctr: 0.2884 loss_box3d_quat: 1.109 loss_box3d_size: 0.1493 loss_centerness: 0.6456 loss_cls: 0.3313 loss_conf3d: 0.6348 lr: 0.001679 max_mem: 5632M
[03/18 08:32:13 d2.utils.events]: eta: 6:26:15 iter: 1700 total_loss: 5.497 loss_box2d_reg: 0.3394 loss_box3d_depth: 1.937 loss_box3d_proj_ctr: 0.2919 loss_box3d_quat: 1.165 loss_box3d_size: 0.1506 loss_centerness: 0.6444 loss_cls: 0.3255 loss_conf3d: 0.6378 lr: 0.001699 max_mem: 5632M
[03/18 08:32:33 d2.utils.events]: eta: 6:22:42 iter: 1720 total_loss: 5.457 loss_box2d_reg: 0.3388 loss_box3d_depth: 1.955 loss_box3d_proj_ctr: 0.2799 loss_box3d_quat: 1.086 loss_box3d_size: 0.1483 loss_centerness: 0.644 loss_cls: 0.3155 loss_conf3d: 0.6394 lr: 0.001719 max_mem: 5632M
[03/18 08:32:51 d2.utils.events]: eta: 5:59:36 iter: 1740 total_loss: 5.458 loss_box2d_reg: 0.3355 loss_box3d_depth: 1.962 loss_box3d_proj_ctr: 0.285 loss_box3d_quat: 1.095 loss_box3d_size: 0.1466 loss_centerness: 0.6434 loss_cls: 0.3263 loss_conf3d: 0.6384 lr: 0.001739 max_mem: 5632M
[03/18 08:33:10 d2.utils.events]: eta: 6:11:12 iter: 1760 total_loss: 5.344 loss_box2d_reg: 0.3334 loss_box3d_depth: 1.909 loss_box3d_proj_ctr: 0.2814 loss_box3d_quat: 1.049 loss_box3d_size: 0.1418 loss_centerness: 0.6441 loss_cls: 0.3185 loss_conf3d: 0.6423 lr: 0.001759 max_mem: 5632M
[03/18 08:33:29 d2.utils.events]: eta: 6:07:56 iter: 1780 total_loss: 5.221 loss_box2d_reg: 0.3335 loss_box3d_depth: 1.867 loss_box3d_proj_ctr: 0.2846 loss_box3d_quat: 1.031 loss_box3d_size: 0.1468 loss_centerness: 0.6424 loss_cls: 0.3144 loss_conf3d: 0.6463 lr: 0.001779 max_mem: 5632M
[03/18 08:33:47 d2.utils.events]: eta: 5:46:48 iter: 1800 total_loss: 5.386 loss_box2d_reg: 0.3327 loss_box3d_depth: 1.915 loss_box3d_proj_ctr: 0.2877 loss_box3d_quat: 1.108 loss_box3d_size: 0.1585 loss_centerness: 0.6427 loss_cls: 0.3144 loss_conf3d: 0.6437 lr: 0.001799 max_mem: 5632M
[03/18 08:34:06 d2.utils.events]: eta: 5:50:54 iter: 1820 total_loss: 5.412 loss_box2d_reg: 0.3317 loss_box3d_depth: 2.006 loss_box3d_proj_ctr: 0.2895 loss_box3d_quat: 1.022 loss_box3d_size: 0.1489 loss_centerness: 0.6423 loss_cls: 0.3128 loss_conf3d: 0.6448 lr: 0.001819 max_mem: 5632M
[03/18 08:34:24 d2.utils.events]: eta: 6:02:58 iter: 1840 total_loss: 5.868 loss_box2d_reg: 0.3389 loss_box3d_depth: 2.383 loss_box3d_proj_ctr: 0.2912 loss_box3d_quat: 1.055 loss_box3d_size: 0.1456 loss_centerness: 0.6443 loss_cls: 0.3225 loss_conf3d: 0.6344 lr: 0.001839 max_mem: 5632M
[03/18 08:34:42 d2.utils.events]: eta: 5:39:11 iter: 1860 total_loss: 5.477 loss_box2d_reg: 0.3404 loss_box3d_depth: 2.04 loss_box3d_proj_ctr: 0.2862 loss_box3d_quat: 1.025 loss_box3d_size: 0.148 loss_centerness: 0.6442 loss_cls: 0.3221 loss_conf3d: 0.6452 lr: 0.001859 max_mem: 5632M
[03/18 08:35:00 d2.utils.events]: eta: 5:49:06 iter: 1880 total_loss: 5.558 loss_box2d_reg: 0.3291 loss_box3d_depth: 2.17 loss_box3d_proj_ctr: 0.2895 loss_box3d_quat: 0.989 loss_box3d_size: 0.1437 loss_centerness: 0.6424 loss_cls: 0.3169 loss_conf3d: 0.638 lr: 0.001879 max_mem: 5632M
[03/18 08:35:19 d2.utils.events]: eta: 6:08:45 iter: 1900 total_loss: 5.253 loss_box2d_reg: 0.3289 loss_box3d_depth: 1.898 loss_box3d_proj_ctr: 0.2903 loss_box3d_quat: 0.9442 loss_box3d_size: 0.1506 loss_centerness: 0.6417 loss_cls: 0.3157 loss_conf3d: 0.6479 lr: 0.001899 max_mem: 5632M
[03/18 08:35:37 d2.utils.events]: eta: 5:41:41 iter: 1920 total_loss: 5.343 loss_box2d_reg: 0.3279 loss_box3d_depth: 1.974 loss_box3d_proj_ctr: 0.2896 loss_box3d_quat: 0.9662 loss_box3d_size: 0.1469 loss_centerness: 0.6409 loss_cls: 0.313 loss_conf3d: 0.6459 lr: 0.001919 max_mem: 5632M
[03/18 08:35:56 d2.utils.events]: eta: 6:06:53 iter: 1940 total_loss: 5.245 loss_box2d_reg: 0.3287 loss_box3d_depth: 1.981 loss_box3d_proj_ctr: 0.2698 loss_box3d_quat: 0.9367 loss_box3d_size: 0.1429 loss_centerness: 0.6427 loss_cls: 0.3073 loss_conf3d: 0.6487 lr: 0.001939 max_mem: 5632M
[03/18 08:36:16 d2.utils.events]: eta: 6:22:55 iter: 1960 total_loss: 5.244 loss_box2d_reg: 0.3229 loss_box3d_depth: 1.9 loss_box3d_proj_ctr: 0.2822 loss_box3d_quat: 1.009 loss_box3d_size: 0.1435 loss_centerness: 0.6422 loss_cls: 0.3102 loss_conf3d: 0.6472 lr: 0.001959 max_mem: 5632M
[03/18 08:36:34 d2.utils.events]: eta: 5:43:01 iter: 1980 total_loss: 5.142 loss_box2d_reg: 0.3235 loss_box3d_depth: 1.81 loss_box3d_proj_ctr: 0.2837 loss_box3d_quat: 0.945 loss_box3d_size: 0.1464 loss_centerness: 0.6411 loss_cls: 0.3118 loss_conf3d: 0.6522 lr: 0.001979 max_mem: 5632M
[03/18 08:36:52 d2.utils.events]: eta: 5:50:43 iter: 2000 total_loss: 5.204 loss_box2d_reg: 0.3229 loss_box3d_depth: 1.922 loss_box3d_proj_ctr: 0.2814 loss_box3d_quat: 0.9451 loss_box3d_size: 0.1452 loss_centerness: 0.6421 loss_cls: 0.3056 loss_conf3d: 0.6506 lr: 0.001999 max_mem: 5632M
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
[03/18 08:37:00 fvcore.common.checkpoint]: Saving checkpoint to ./model_0001999.pth
[03/18 08:37:01 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 08:37:01 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 08:37:01 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 08:37:01 tridet.data.build]: Using test sampler InferenceSampler
[03/18 08:37:01 d2.evaluation.evaluator]: Start inference on 48 batches
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/functional.py:445: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/aten/src/ATen/native/TensorShape.cpp:2157.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
/home/azuryl/anaconda3/envs/dd3d/lib/python3.6/site-packages/torch/optim/lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
"https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate", UserWarning)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:87: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 08:37:21 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 0.3040 s/iter. Eval: 1.2617 s/iter. Total: 1.5665 s/iter. ETA=0:00:57
[03/18 08:37:27 d2.evaluation.evaluator]: Inference done 15/48. Dataloading: 0.0009 s/iter. Inference: 0.3116 s/iter. Eval: 1.2645 s/iter. Total: 1.5771 s/iter. ETA=0:00:52
[03/18 08:37:32 d2.evaluation.evaluator]: Inference done 18/48. Dataloading: 0.0010 s/iter. Inference: 0.3153 s/iter. Eval: 1.3108 s/iter. Total: 1.6273 s/iter. ETA=0:00:48
[03/18 08:37:39 d2.evaluation.evaluator]: Inference done 22/48. Dataloading: 0.0010 s/iter. Inference: 0.3119 s/iter. Eval: 1.3120 s/iter. Total: 1.6249 s/iter. ETA=0:00:42
[03/18 08:37:45 d2.evaluation.evaluator]: Inference done 26/48. Dataloading: 0.0010 s/iter. Inference: 0.3091 s/iter. Eval: 1.3096 s/iter. Total: 1.6198 s/iter. ETA=0:00:35
[03/18 08:37:52 d2.evaluation.evaluator]: Inference done 30/48. Dataloading: 0.0010 s/iter. Inference: 0.3094 s/iter. Eval: 1.3118 s/iter. Total: 1.6223 s/iter. ETA=0:00:29
[03/18 08:37:58 d2.evaluation.evaluator]: Inference done 34/48. Dataloading: 0.0010 s/iter. Inference: 0.3091 s/iter. Eval: 1.3145 s/iter. Total: 1.6248 s/iter. ETA=0:00:22
[03/18 08:38:04 d2.evaluation.evaluator]: Inference done 38/48. Dataloading: 0.0010 s/iter. Inference: 0.3088 s/iter. Eval: 1.3051 s/iter. Total: 1.6150 s/iter. ETA=0:00:16
[03/18 08:38:10 d2.evaluation.evaluator]: Inference done 42/48. Dataloading: 0.0010 s/iter. Inference: 0.3082 s/iter. Eval: 1.2912 s/iter. Total: 1.6005 s/iter. ETA=0:00:09
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 08:38:16 d2.evaluation.evaluator]: Inference done 46/48. Dataloading: 0.0010 s/iter. Inference: 0.3067 s/iter. Eval: 1.2753 s/iter. Total: 1.5832 s/iter. ETA=0:00:03
[03/18 08:38:18 d2.evaluation.evaluator]: Total inference time: 0:01:06.936973 (1.556674 s / iter per device, on 8 devices)
[03/18 08:38:18 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.304431 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 08:38:22 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 08:38:22 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0002000/kitti_3d_val/coco_instances_results.json
[03/18 08:38:24 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=1.02s)
creating index...
index created!
[03/18 08:38:25 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 08:38:29 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 3.81 seconds.
[03/18 08:38:29 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 08:38:30 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 1.12 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.062
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.148
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.043
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.067
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.065
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.081
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.083
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.206
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.254
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.135
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.273
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.300
[03/18 08:38:30 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
6.195 14.801 4.259 6.657 6.480 8.127
[03/18 08:38:30 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------ :----------- :------
Car 22.022 Pedestrian 3.769 Cyclist 0.333
Van 2.425 Truck 2.424
[03/18 08:39:36 tridet]: Running prediction visualizer: d2_visualizer
[03/18 08:39:38 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:04<00:00, 4.70it/s][03/18 08:39:43 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:07<00:00, 2.74it/s][03/18 08:40:01 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 08:40:01 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 6.19459
kitti_3d_val/bbox/AP50 14.8013
kitti_3d_val/bbox/AP75 4.25872
kitti_3d_val/bbox/APs 6.657
kitti_3d_val/bbox/APm 6.47991
kitti_3d_val/bbox/APl 8.12651
kitti_3d_val/bbox/AP-Car 22.0222
kitti_3d_val/bbox/AP-Pedestrian 3.76924
kitti_3d_val/bbox/AP-Cyclist 0.332992
kitti_3d_val/bbox/AP-Van 2.42476
kitti_3d_val/bbox/AP-Truck 2.4238
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 3.43969
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 0.0141254
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 2.88214
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 0.00878241
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 2.60383
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 0.00702752
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.0676474
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.0401736
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.0235035
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.001665
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 0.0625547
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.012554
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.015326
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 0.0015949
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 6.40887
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 0.147282
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 5.14902
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 0.167439
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 4.61539
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 0.143622
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 0.235183
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.16232
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.145262
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.00284437
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.00326675
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.00281233
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 0.208593
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 0.0855819
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 0.0675817
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 0.0705497
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.0119722
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.012178
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 08:40:20 d2.utils.events]: eta: 2 days, 18:21:58 iter: 2020 total_loss: 5.169 loss_box2d_reg: 0.3253 loss_box3d_depth: 1.877 loss_box3d_proj_ctr: 0.2758 loss_box3d_quat: 0.9252 loss_box3d_size: 0.1428 loss_centerness: 0.6408 loss_cls: 0.309 loss_conf3d: 0.6467 lr: 0.002 max_mem: 5632M
[03/18 08:40:37 d2.utils.events]: eta: 5:32:19 iter: 2040 total_loss: 5.002 loss_box2d_reg: 0.3238 loss_box3d_depth: 1.718 loss_box3d_proj_ctr: 0.2791 loss_box3d_quat: 0.8881 loss_box3d_size: 0.1407 loss_centerness: 0.642 loss_cls: 0.3085 loss_conf3d: 0.6524 lr: 0.002 max_mem: 5632M
[03/18 08:40:56 d2.utils.events]: eta: 5:44:39 iter: 2060 total_loss: 5.184 loss_box2d_reg: 0.3183 loss_box3d_depth: 1.875 loss_box3d_proj_ctr: 0.2844 loss_box3d_quat: 0.9504 loss_box3d_size: 0.1463 loss_centerness: 0.641 loss_cls: 0.3013 loss_conf3d: 0.6473 lr: 0.002 max_mem: 5632M
[03/18 08:41:15 d2.utils.events]: eta: 6:03:07 iter: 2080 total_loss: 5.115 loss_box2d_reg: 0.3204 loss_box3d_depth: 1.913 loss_box3d_proj_ctr: 0.2668 loss_box3d_quat: 0.896 loss_box3d_size: 0.137 loss_centerness: 0.6414 loss_cls: 0.3008 loss_conf3d: 0.6513 lr: 0.002 max_mem: 5632M
[03/18 08:41:33 d2.utils.events]: eta: 5:46:34 iter: 2100 total_loss: 4.99 loss_box2d_reg: 0.3176 loss_box3d_depth: 1.789 loss_box3d_proj_ctr: 0.2682 loss_box3d_quat: 0.8719 loss_box3d_size: 0.1449 loss_centerness: 0.6403 loss_cls: 0.3038 loss_conf3d: 0.6554 lr: 0.002 max_mem: 5632M
[03/18 08:41:52 d2.utils.events]: eta: 6:03:21 iter: 2120 total_loss: 4.894 loss_box2d_reg: 0.3164 loss_box3d_depth: 1.667 loss_box3d_proj_ctr: 0.2807 loss_box3d_quat: 0.9206 loss_box3d_size: 0.1399 loss_centerness: 0.6404 loss_cls: 0.294 loss_conf3d: 0.6571 lr: 0.002 max_mem: 5632M
[03/18 08:42:11 d2.utils.events]: eta: 5:58:01 iter: 2140 total_loss: 4.832 loss_box2d_reg: 0.3119 loss_box3d_depth: 1.683 loss_box3d_proj_ctr: 0.2716 loss_box3d_quat: 0.8633 loss_box3d_size: 0.1407 loss_centerness: 0.6405 loss_cls: 0.2968 loss_conf3d: 0.6586 lr: 0.002 max_mem: 5632M
[03/18 08:42:28 d2.utils.events]: eta: 5:33:51 iter: 2160 total_loss: 4.857 loss_box2d_reg: 0.3136 loss_box3d_depth: 1.718 loss_box3d_proj_ctr: 0.2676 loss_box3d_quat: 0.8268 loss_box3d_size: 0.1383 loss_centerness: 0.6403 loss_cls: 0.2959 loss_conf3d: 0.655 lr: 0.002 max_mem: 5632M
[03/18 08:42:47 d2.utils.events]: eta: 6:01:27 iter: 2180 total_loss: 4.784 loss_box2d_reg: 0.3121 loss_box3d_depth: 1.679 loss_box3d_proj_ctr: 0.2706 loss_box3d_quat: 0.8455 loss_box3d_size: 0.1403 loss_centerness: 0.6393 loss_cls: 0.2948 loss_conf3d: 0.6529 lr: 0.002 max_mem: 5632M
[03/18 08:43:06 d2.utils.events]: eta: 5:49:53 iter: 2200 total_loss: 4.681 loss_box2d_reg: 0.3097 loss_box3d_depth: 1.515 loss_box3d_proj_ctr: 0.2738 loss_box3d_quat: 0.8181 loss_box3d_size: 0.1404 loss_centerness: 0.6396 loss_cls: 0.2876 loss_conf3d: 0.6565 lr: 0.002 max_mem: 5632M
[03/18 08:43:23 d2.utils.events]: eta: 5:32:49 iter: 2220 total_loss: 4.815 loss_box2d_reg: 0.3053 loss_box3d_depth: 1.639 loss_box3d_proj_ctr: 0.2698 loss_box3d_quat: 0.8319 loss_box3d_size: 0.1362 loss_centerness: 0.6396 loss_cls: 0.29 loss_conf3d: 0.6553 lr: 0.002 max_mem: 5632M
[03/18 08:43:42 d2.utils.events]: eta: 5:57:07 iter: 2240 total_loss: 4.928 loss_box2d_reg: 0.3047 loss_box3d_depth: 1.749 loss_box3d_proj_ctr: 0.2722 loss_box3d_quat: 0.8189 loss_box3d_size: 0.1449 loss_centerness: 0.6394 loss_cls: 0.2876 loss_conf3d: 0.6539 lr: 0.002 max_mem: 5632M
[03/18 08:44:01 d2.utils.events]: eta: 5:57:33 iter: 2260 total_loss: 4.734 loss_box2d_reg: 0.3103 loss_box3d_depth: 1.641 loss_box3d_proj_ctr: 0.2636 loss_box3d_quat: 0.8372 loss_box3d_size: 0.1387 loss_centerness: 0.6398 loss_cls: 0.2915 loss_conf3d: 0.6569 lr: 0.002 max_mem: 5632M
[03/18 08:44:18 d2.utils.events]: eta: 5:30:56 iter: 2280 total_loss: 4.757 loss_box2d_reg: 0.3058 loss_box3d_depth: 1.65 loss_box3d_proj_ctr: 0.2666 loss_box3d_quat: 0.8246 loss_box3d_size: 0.1424 loss_centerness: 0.6401 loss_cls: 0.2887 loss_conf3d: 0.6513 lr: 0.002 max_mem: 5632M
[03/18 08:44:37 d2.utils.events]: eta: 5:56:43 iter: 2300 total_loss: 4.748 loss_box2d_reg: 0.2985 loss_box3d_depth: 1.617 loss_box3d_proj_ctr: 0.2756 loss_box3d_quat: 0.8398 loss_box3d_size: 0.1385 loss_centerness: 0.6378 loss_cls: 0.2865 loss_conf3d: 0.6559 lr: 0.002 max_mem: 5632M
[03/18 08:44:56 d2.utils.events]: eta: 6:03:35 iter: 2320 total_loss: 4.878 loss_box2d_reg: 0.3046 loss_box3d_depth: 1.738 loss_box3d_proj_ctr: 0.2641 loss_box3d_quat: 0.827 loss_box3d_size: 0.1369 loss_centerness: 0.6389 loss_cls: 0.2931 loss_conf3d: 0.6532 lr: 0.002 max_mem: 5632M
[03/18 08:45:15 d2.utils.events]: eta: 5:56:14 iter: 2340 total_loss: 4.75 loss_box2d_reg: 0.3079 loss_box3d_depth: 1.673 loss_box3d_proj_ctr: 0.2658 loss_box3d_quat: 0.8068 loss_box3d_size: 0.1362 loss_centerness: 0.6382 loss_cls: 0.2885 loss_conf3d: 0.6562 lr: 0.002 max_mem: 5632M
[03/18 08:45:34 d2.utils.events]: eta: 5:51:50 iter: 2360 total_loss: 4.779 loss_box2d_reg: 0.3051 loss_box3d_depth: 1.711 loss_box3d_proj_ctr: 0.2625 loss_box3d_quat: 0.7967 loss_box3d_size: 0.1338 loss_centerness: 0.6389 loss_cls: 0.287 loss_conf3d: 0.6534 lr: 0.002 max_mem: 5632M
[03/18 08:45:52 d2.utils.events]: eta: 5:46:12 iter: 2380 total_loss: 4.678 loss_box2d_reg: 0.3026 loss_box3d_depth: 1.561 loss_box3d_proj_ctr: 0.2674 loss_box3d_quat: 0.7952 loss_box3d_size: 0.14 loss_centerness: 0.6391 loss_cls: 0.2868 loss_conf3d: 0.6568 lr: 0.002 max_mem: 5632M
[03/18 08:46:10 d2.utils.events]: eta: 5:36:48 iter: 2400 total_loss: 4.632 loss_box2d_reg: 0.3105 loss_box3d_depth: 1.567 loss_box3d_proj_ctr: 0.2674 loss_box3d_quat: 0.7895 loss_box3d_size: 0.1395 loss_centerness: 0.64 loss_cls: 0.285 loss_conf3d: 0.6567 lr: 0.002 max_mem: 5632M
[03/18 08:46:29 d2.utils.events]: eta: 5:59:23 iter: 2420 total_loss: 4.619 loss_box2d_reg: 0.2976 loss_box3d_depth: 1.519 loss_box3d_proj_ctr: 0.256 loss_box3d_quat: 0.7626 loss_box3d_size: 0.1382 loss_centerness: 0.6371 loss_cls: 0.2782 loss_conf3d: 0.6571 lr: 0.002 max_mem: 5632M
[03/18 08:46:52 d2.utils.events]: eta: 7:09:39 iter: 2440 total_loss: 4.727 loss_box2d_reg: 0.3065 loss_box3d_depth: 1.608 loss_box3d_proj_ctr: 0.2692 loss_box3d_quat: 0.8576 loss_box3d_size: 0.142 loss_centerness: 0.6388 loss_cls: 0.282 loss_conf3d: 0.6544 lr: 0.002 max_mem: 5632M
[03/18 08:47:10 d2.utils.events]: eta: 5:42:01 iter: 2460 total_loss: 4.574 loss_box2d_reg: 0.2994 loss_box3d_depth: 1.496 loss_box3d_proj_ctr: 0.2655 loss_box3d_quat: 0.8225 loss_box3d_size: 0.1431 loss_centerness: 0.637 loss_cls: 0.275 loss_conf3d: 0.6546 lr: 0.002 max_mem: 5632M
[03/18 08:47:29 d2.utils.events]: eta: 5:55:06 iter: 2480 total_loss: 4.515 loss_box2d_reg: 0.2965 loss_box3d_depth: 1.429 loss_box3d_proj_ctr: 0.2601 loss_box3d_quat: 0.777 loss_box3d_size: 0.1336 loss_centerness: 0.6376 loss_cls: 0.2793 loss_conf3d: 0.6552 lr: 0.002 max_mem: 5632M
[03/18 08:47:48 d2.utils.events]: eta: 5:57:00 iter: 2500 total_loss: 4.605 loss_box2d_reg: 0.2945 loss_box3d_depth: 1.587 loss_box3d_proj_ctr: 0.2532 loss_box3d_quat: 0.7361 loss_box3d_size: 0.1298 loss_centerness: 0.6372 loss_cls: 0.2748 loss_conf3d: 0.6612 lr: 0.002 max_mem: 5632M
[03/18 08:48:06 d2.utils.events]: eta: 5:37:07 iter: 2520 total_loss: 4.575 loss_box2d_reg: 0.2975 loss_box3d_depth: 1.523 loss_box3d_proj_ctr: 0.2614 loss_box3d_quat: 0.784 loss_box3d_size: 0.1365 loss_centerness: 0.6379 loss_cls: 0.2823 loss_conf3d: 0.657 lr: 0.002 max_mem: 5632M
[03/18 08:48:25 d2.utils.events]: eta: 5:55:51 iter: 2540 total_loss: 4.446 loss_box2d_reg: 0.2961 loss_box3d_depth: 1.447 loss_box3d_proj_ctr: 0.2597 loss_box3d_quat: 0.7315 loss_box3d_size: 0.1346 loss_centerness: 0.6365 loss_cls: 0.2775 loss_conf3d: 0.6547 lr: 0.002 max_mem: 5632M
[03/18 08:48:44 d2.utils.events]: eta: 5:48:51 iter: 2560 total_loss: 4.474 loss_box2d_reg: 0.294 loss_box3d_depth: 1.449 loss_box3d_proj_ctr: 0.2583 loss_box3d_quat: 0.7227 loss_box3d_size: 0.135 loss_centerness: 0.6372 loss_cls: 0.2722 loss_conf3d: 0.6554 lr: 0.002 max_mem: 5632M
[03/18 08:49:01 d2.utils.events]: eta: 5:27:38 iter: 2580 total_loss: 4.447 loss_box2d_reg: 0.292 loss_box3d_depth: 1.434 loss_box3d_proj_ctr: 0.2508 loss_box3d_quat: 0.753 loss_box3d_size: 0.1375 loss_centerness: 0.6367 loss_cls: 0.2714 loss_conf3d: 0.657 lr: 0.002 max_mem: 5632M
[03/18 08:49:20 d2.utils.events]: eta: 5:54:22 iter: 2600 total_loss: 4.44 loss_box2d_reg: 0.2917 loss_box3d_depth: 1.458 loss_box3d_proj_ctr: 0.2665 loss_box3d_quat: 0.7522 loss_box3d_size: 0.1338 loss_centerness: 0.6376 loss_cls: 0.2746 loss_conf3d: 0.6521 lr: 0.002 max_mem: 5632M
[03/18 08:49:39 d2.utils.events]: eta: 5:41:48 iter: 2620 total_loss: 4.473 loss_box2d_reg: 0.2935 loss_box3d_depth: 1.505 loss_box3d_proj_ctr: 0.2562 loss_box3d_quat: 0.7129 loss_box3d_size: 0.136 loss_centerness: 0.6373 loss_cls: 0.2748 loss_conf3d: 0.6578 lr: 0.002 max_mem: 5632M
[03/18 08:49:56 d2.utils.events]: eta: 5:25:18 iter: 2640 total_loss: 4.442 loss_box2d_reg: 0.2907 loss_box3d_depth: 1.485 loss_box3d_proj_ctr: 0.2563 loss_box3d_quat: 0.761 loss_box3d_size: 0.1348 loss_centerness: 0.6371 loss_cls: 0.2694 loss_conf3d: 0.6534 lr: 0.002 max_mem: 5632M
[03/18 08:50:15 d2.utils.events]: eta: 5:49:01 iter: 2660 total_loss: 4.534 loss_box2d_reg: 0.2905 loss_box3d_depth: 1.566 loss_box3d_proj_ctr: 0.2603 loss_box3d_quat: 0.7051 loss_box3d_size: 0.1375 loss_centerness: 0.6372 loss_cls: 0.2721 loss_conf3d: 0.6562 lr: 0.002 max_mem: 5632M
[03/18 08:50:35 d2.utils.events]: eta: 6:05:16 iter: 2680 total_loss: 4.561 loss_box2d_reg: 0.2889 loss_box3d_depth: 1.559 loss_box3d_proj_ctr: 0.2582 loss_box3d_quat: 0.7043 loss_box3d_size: 0.1364 loss_centerness: 0.6367 loss_cls: 0.2717 loss_conf3d: 0.6565 lr: 0.002 max_mem: 5632M
[03/18 08:50:52 d2.utils.events]: eta: 5:31:49 iter: 2700 total_loss: 4.58 loss_box2d_reg: 0.292 loss_box3d_depth: 1.584 loss_box3d_proj_ctr: 0.258 loss_box3d_quat: 0.737 loss_box3d_size: 0.1324 loss_centerness: 0.6361 loss_cls: 0.2758 loss_conf3d: 0.6566 lr: 0.002 max_mem: 5632M
[03/18 08:51:11 d2.utils.events]: eta: 5:49:15 iter: 2720 total_loss: 4.496 loss_box2d_reg: 0.2858 loss_box3d_depth: 1.544 loss_box3d_proj_ctr: 0.2497 loss_box3d_quat: 0.7297 loss_box3d_size: 0.135 loss_centerness: 0.6359 loss_cls: 0.2638 loss_conf3d: 0.6561 lr: 0.002 max_mem: 5632M
[03/18 08:51:30 d2.utils.events]: eta: 5:41:28 iter: 2740 total_loss: 4.368 loss_box2d_reg: 0.2888 loss_box3d_depth: 1.386 loss_box3d_proj_ctr: 0.2586 loss_box3d_quat: 0.7447 loss_box3d_size: 0.133 loss_centerness: 0.6368 loss_cls: 0.2715 loss_conf3d: 0.6569 lr: 0.002 max_mem: 5632M
[03/18 08:51:47 d2.utils.events]: eta: 5:30:06 iter: 2760 total_loss: 4.388 loss_box2d_reg: 0.2878 loss_box3d_depth: 1.408 loss_box3d_proj_ctr: 0.2521 loss_box3d_quat: 0.7321 loss_box3d_size: 0.1348 loss_centerness: 0.636 loss_cls: 0.2677 loss_conf3d: 0.656 lr: 0.002 max_mem: 5632M
[03/18 08:52:07 d2.utils.events]: eta: 6:01:41 iter: 2780 total_loss: 4.387 loss_box2d_reg: 0.2832 loss_box3d_depth: 1.481 loss_box3d_proj_ctr: 0.2432 loss_box3d_quat: 0.7013 loss_box3d_size: 0.1309 loss_centerness: 0.6359 loss_cls: 0.2597 loss_conf3d: 0.6545 lr: 0.002 max_mem: 5632M
[03/18 08:52:26 d2.utils.events]: eta: 5:43:03 iter: 2800 total_loss: 4.456 loss_box2d_reg: 0.2914 loss_box3d_depth: 1.512 loss_box3d_proj_ctr: 0.2568 loss_box3d_quat: 0.7085 loss_box3d_size: 0.1354 loss_centerness: 0.6362 loss_cls: 0.2679 loss_conf3d: 0.6593 lr: 0.002 max_mem: 5632M
[03/18 08:52:44 d2.utils.events]: eta: 5:32:58 iter: 2820 total_loss: 4.351 loss_box2d_reg: 0.2867 loss_box3d_depth: 1.426 loss_box3d_proj_ctr: 0.2529 loss_box3d_quat: 0.6927 loss_box3d_size: 0.1331 loss_centerness: 0.6355 loss_cls: 0.2634 loss_conf3d: 0.6605 lr: 0.002 max_mem: 5632M
[03/18 08:53:03 d2.utils.events]: eta: 5:49:45 iter: 2840 total_loss: 4.384 loss_box2d_reg: 0.2846 loss_box3d_depth: 1.451 loss_box3d_proj_ctr: 0.2509 loss_box3d_quat: 0.6952 loss_box3d_size: 0.134 loss_centerness: 0.6362 loss_cls: 0.2656 loss_conf3d: 0.6546 lr: 0.002 max_mem: 5632M
[03/18 08:53:21 d2.utils.events]: eta: 5:42:01 iter: 2860 total_loss: 4.444 loss_box2d_reg: 0.284 loss_box3d_depth: 1.492 loss_box3d_proj_ctr: 0.2616 loss_box3d_quat: 0.6968 loss_box3d_size: 0.1322 loss_centerness: 0.6353 loss_cls: 0.2672 loss_conf3d: 0.6557 lr: 0.002 max_mem: 5632M
[03/18 08:53:40 d2.utils.events]: eta: 5:44:59 iter: 2880 total_loss: 4.309 loss_box2d_reg: 0.2822 loss_box3d_depth: 1.406 loss_box3d_proj_ctr: 0.2372 loss_box3d_quat: 0.6776 loss_box3d_size: 0.1315 loss_centerness: 0.6358 loss_cls: 0.2596 loss_conf3d: 0.6594 lr: 0.002 max_mem: 5632M
[03/18 08:53:58 d2.utils.events]: eta: 5:33:19 iter: 2900 total_loss: 4.426 loss_box2d_reg: 0.2839 loss_box3d_depth: 1.515 loss_box3d_proj_ctr: 0.2526 loss_box3d_quat: 0.6598 loss_box3d_size: 0.1345 loss_centerness: 0.6355 loss_cls: 0.2614 loss_conf3d: 0.6513 lr: 0.002 max_mem: 5632M
[03/18 08:54:17 d2.utils.events]: eta: 5:56:40 iter: 2920 total_loss: 4.361 loss_box2d_reg: 0.281 loss_box3d_depth: 1.49 loss_box3d_proj_ctr: 0.2437 loss_box3d_quat: 0.6613 loss_box3d_size: 0.1362 loss_centerness: 0.6353 loss_cls: 0.2619 loss_conf3d: 0.6571 lr: 0.002 max_mem: 5632M
[03/18 08:54:36 d2.utils.events]: eta: 5:44:03 iter: 2940 total_loss: 4.369 loss_box2d_reg: 0.2893 loss_box3d_depth: 1.403 loss_box3d_proj_ctr: 0.2484 loss_box3d_quat: 0.696 loss_box3d_size: 0.1297 loss_centerness: 0.6365 loss_cls: 0.2618 loss_conf3d: 0.658 lr: 0.002 max_mem: 5632M
[03/18 08:54:55 d2.utils.events]: eta: 5:43:49 iter: 2960 total_loss: 4.225 loss_box2d_reg: 0.2813 loss_box3d_depth: 1.339 loss_box3d_proj_ctr: 0.2536 loss_box3d_quat: 0.6704 loss_box3d_size: 0.1288 loss_centerness: 0.6345 loss_cls: 0.2615 loss_conf3d: 0.6535 lr: 0.002 max_mem: 5632M
[03/18 08:55:14 d2.utils.events]: eta: 5:45:25 iter: 2980 total_loss: 4.135 loss_box2d_reg: 0.2775 loss_box3d_depth: 1.281 loss_box3d_proj_ctr: 0.2419 loss_box3d_quat: 0.6571 loss_box3d_size: 0.1327 loss_centerness: 0.6345 loss_cls: 0.2553 loss_conf3d: 0.6543 lr: 0.002 max_mem: 5632M
[03/18 08:55:32 d2.utils.events]: eta: 5:43:44 iter: 3000 total_loss: 4.284 loss_box2d_reg: 0.2808 loss_box3d_depth: 1.398 loss_box3d_proj_ctr: 0.2512 loss_box3d_quat: 0.6717 loss_box3d_size: 0.132 loss_centerness: 0.6351 loss_cls: 0.255 loss_conf3d: 0.6505 lr: 0.002 max_mem: 5632M
[03/18 08:55:58 d2.utils.events]: eta: 7:43:59 iter: 3020 total_loss: 4.212 loss_box2d_reg: 0.2779 loss_box3d_depth: 1.328 loss_box3d_proj_ctr: 0.2439 loss_box3d_quat: 0.6287 loss_box3d_size: 0.1334 loss_centerness: 0.6352 loss_cls: 0.2549 loss_conf3d: 0.6532 lr: 0.002 max_mem: 5632M
[03/18 08:56:17 d2.utils.events]: eta: 5:51:41 iter: 3040 total_loss: 4.126 loss_box2d_reg: 0.2779 loss_box3d_depth: 1.247 loss_box3d_proj_ctr: 0.2383 loss_box3d_quat: 0.6291 loss_box3d_size: 0.1305 loss_centerness: 0.634 loss_cls: 0.2527 loss_conf3d: 0.653 lr: 0.002 max_mem: 5632M
[03/18 08:56:35 d2.utils.events]: eta: 5:31:32 iter: 3060 total_loss: 4.192 loss_box2d_reg: 0.2841 loss_box3d_depth: 1.366 loss_box3d_proj_ctr: 0.2451 loss_box3d_quat: 0.6337 loss_box3d_size: 0.1309 loss_centerness: 0.6356 loss_cls: 0.2591 loss_conf3d: 0.654 lr: 0.002 max_mem: 5632M
[03/18 08:56:53 d2.utils.events]: eta: 5:37:18 iter: 3080 total_loss: 4.522 loss_box2d_reg: 0.2818 loss_box3d_depth: 1.634 loss_box3d_proj_ctr: 0.2499 loss_box3d_quat: 0.6612 loss_box3d_size: 0.1304 loss_centerness: 0.6344 loss_cls: 0.2588 loss_conf3d: 0.6558 lr: 0.002 max_mem: 5632M
[03/18 08:57:12 d2.utils.events]: eta: 5:44:50 iter: 3100 total_loss: 4.261 loss_box2d_reg: 0.2773 loss_box3d_depth: 1.447 loss_box3d_proj_ctr: 0.2397 loss_box3d_quat: 0.6276 loss_box3d_size: 0.1336 loss_centerness: 0.6342 loss_cls: 0.255 loss_conf3d: 0.6566 lr: 0.002 max_mem: 5632M
[03/18 08:57:31 d2.utils.events]: eta: 5:37:49 iter: 3120 total_loss: 4.197 loss_box2d_reg: 0.276 loss_box3d_depth: 1.347 loss_box3d_proj_ctr: 0.2399 loss_box3d_quat: 0.6543 loss_box3d_size: 0.1347 loss_centerness: 0.6346 loss_cls: 0.2582 loss_conf3d: 0.6519 lr: 0.002 max_mem: 5632M
[03/18 08:57:50 d2.utils.events]: eta: 5:54:45 iter: 3140 total_loss: 4.451 loss_box2d_reg: 0.2801 loss_box3d_depth: 1.57 loss_box3d_proj_ctr: 0.2405 loss_box3d_quat: 0.6616 loss_box3d_size: 0.1349 loss_centerness: 0.6358 loss_cls: 0.2556 loss_conf3d: 0.6556 lr: 0.002 max_mem: 5632M
[03/18 08:58:10 d2.utils.events]: eta: 5:53:09 iter: 3160 total_loss: 4.202 loss_box2d_reg: 0.2782 loss_box3d_depth: 1.346 loss_box3d_proj_ctr: 0.2466 loss_box3d_quat: 0.6557 loss_box3d_size: 0.1314 loss_centerness: 0.6354 loss_cls: 0.2508 loss_conf3d: 0.662 lr: 0.002 max_mem: 5632M
[03/18 08:58:29 d2.utils.events]: eta: 5:43:45 iter: 3180 total_loss: 4.137 loss_box2d_reg: 0.2741 loss_box3d_depth: 1.32 loss_box3d_proj_ctr: 0.2406 loss_box3d_quat: 0.6324 loss_box3d_size: 0.1316 loss_centerness: 0.6332 loss_cls: 0.2508 loss_conf3d: 0.6543 lr: 0.002 max_mem: 5632M
[03/18 08:58:48 d2.utils.events]: eta: 5:52:24 iter: 3200 total_loss: 4.276 loss_box2d_reg: 0.2767 loss_box3d_depth: 1.485 loss_box3d_proj_ctr: 0.2449 loss_box3d_quat: 0.6627 loss_box3d_size: 0.129 loss_centerness: 0.6344 loss_cls: 0.2501 loss_conf3d: 0.6585 lr: 0.002 max_mem: 5632M
[03/18 08:59:07 d2.utils.events]: eta: 5:49:18 iter: 3220 total_loss: 4.165 loss_box2d_reg: 0.2779 loss_box3d_depth: 1.322 loss_box3d_proj_ctr: 0.2467 loss_box3d_quat: 0.6258 loss_box3d_size: 0.1308 loss_centerness: 0.6345 loss_cls: 0.2531 loss_conf3d: 0.6541 lr: 0.002 max_mem: 5632M
[03/18 08:59:26 d2.utils.events]: eta: 5:47:35 iter: 3240 total_loss: 4.029 loss_box2d_reg: 0.2724 loss_box3d_depth: 1.214 loss_box3d_proj_ctr: 0.2374 loss_box3d_quat: 0.6447 loss_box3d_size: 0.1283 loss_centerness: 0.6333 loss_cls: 0.2523 loss_conf3d: 0.6538 lr: 0.002 max_mem: 5632M
[03/18 08:59:45 d2.utils.events]: eta: 5:38:26 iter: 3260 total_loss: 4.382 loss_box2d_reg: 0.2703 loss_box3d_depth: 1.574 loss_box3d_proj_ctr: 0.2492 loss_box3d_quat: 0.6341 loss_box3d_size: 0.1268 loss_centerness: 0.6337 loss_cls: 0.248 loss_conf3d: 0.6577 lr: 0.002 max_mem: 5632M
[03/18 09:00:05 d2.utils.events]: eta: 5:51:17 iter: 3280 total_loss: 4.148 loss_box2d_reg: 0.2733 loss_box3d_depth: 1.327 loss_box3d_proj_ctr: 0.2404 loss_box3d_quat: 0.6175 loss_box3d_size: 0.1318 loss_centerness: 0.6339 loss_cls: 0.2458 loss_conf3d: 0.6578 lr: 0.002 max_mem: 5632M
[03/18 09:00:23 d2.utils.events]: eta: 5:26:54 iter: 3300 total_loss: 4.097 loss_box2d_reg: 0.2781 loss_box3d_depth: 1.297 loss_box3d_proj_ctr: 0.2451 loss_box3d_quat: 0.6235 loss_box3d_size: 0.1327 loss_centerness: 0.6343 loss_cls: 0.2471 loss_conf3d: 0.6524 lr: 0.002 max_mem: 5632M
[03/18 09:00:42 d2.utils.events]: eta: 5:43:12 iter: 3320 total_loss: 4.033 loss_box2d_reg: 0.2727 loss_box3d_depth: 1.255 loss_box3d_proj_ctr: 0.2418 loss_box3d_quat: 0.5899 loss_box3d_size: 0.1295 loss_centerness: 0.6344 loss_cls: 0.2488 loss_conf3d: 0.6543 lr: 0.002 max_mem: 5632M
[03/18 09:01:01 d2.utils.events]: eta: 5:49:41 iter: 3340 total_loss: 3.927 loss_box2d_reg: 0.2716 loss_box3d_depth: 1.178 loss_box3d_proj_ctr: 0.2358 loss_box3d_quat: 0.5726 loss_box3d_size: 0.1281 loss_centerness: 0.6328 loss_cls: 0.2438 loss_conf3d: 0.6518 lr: 0.002 max_mem: 5632M
[03/18 09:01:20 d2.utils.events]: eta: 5:33:51 iter: 3360 total_loss: 4.069 loss_box2d_reg: 0.2667 loss_box3d_depth: 1.303 loss_box3d_proj_ctr: 0.2352 loss_box3d_quat: 0.598 loss_box3d_size: 0.1264 loss_centerness: 0.6333 loss_cls: 0.244 loss_conf3d: 0.6528 lr: 0.002 max_mem: 5632M
[03/18 09:01:39 d2.utils.events]: eta: 5:43:53 iter: 3380 total_loss: 4.315 loss_box2d_reg: 0.2697 loss_box3d_depth: 1.498 loss_box3d_proj_ctr: 0.2312 loss_box3d_quat: 0.6348 loss_box3d_size: 0.1275 loss_centerness: 0.6341 loss_cls: 0.2473 loss_conf3d: 0.6571 lr: 0.002 max_mem: 5632M
[03/18 09:01:59 d2.utils.events]: eta: 5:59:36 iter: 3400 total_loss: 4.148 loss_box2d_reg: 0.2712 loss_box3d_depth: 1.356 loss_box3d_proj_ctr: 0.2322 loss_box3d_quat: 0.6197 loss_box3d_size: 0.1281 loss_centerness: 0.6334 loss_cls: 0.2436 loss_conf3d: 0.6569 lr: 0.002 max_mem: 5632M
[03/18 09:02:17 d2.utils.events]: eta: 5:35:54 iter: 3420 total_loss: 4.261 loss_box2d_reg: 0.2712 loss_box3d_depth: 1.412 loss_box3d_proj_ctr: 0.2381 loss_box3d_quat: 0.645 loss_box3d_size: 0.1313 loss_centerness: 0.6326 loss_cls: 0.2482 loss_conf3d: 0.6547 lr: 0.002 max_mem: 5632M
[03/18 09:02:36 d2.utils.events]: eta: 5:45:17 iter: 3440 total_loss: 4.218 loss_box2d_reg: 0.2671 loss_box3d_depth: 1.456 loss_box3d_proj_ctr: 0.2377 loss_box3d_quat: 0.6277 loss_box3d_size: 0.13 loss_centerness: 0.6329 loss_cls: 0.2465 loss_conf3d: 0.6572 lr: 0.002 max_mem: 5632M
[03/18 09:02:56 d2.utils.events]: eta: 5:54:58 iter: 3460 total_loss: 4.117 loss_box2d_reg: 0.2729 loss_box3d_depth: 1.319 loss_box3d_proj_ctr: 0.2372 loss_box3d_quat: 0.5696 loss_box3d_size: 0.1299 loss_centerness: 0.6342 loss_cls: 0.2447 loss_conf3d: 0.6547 lr: 0.002 max_mem: 5632M
[03/18 09:03:15 d2.utils.events]: eta: 5:33:40 iter: 3480 total_loss: 3.874 loss_box2d_reg: 0.2655 loss_box3d_depth: 1.147 loss_box3d_proj_ctr: 0.2357 loss_box3d_quat: 0.5902 loss_box3d_size: 0.1294 loss_centerness: 0.6319 loss_cls: 0.2414 loss_conf3d: 0.6477 lr: 0.002 max_mem: 5632M
[03/18 09:03:34 d2.utils.events]: eta: 5:45:55 iter: 3500 total_loss: 3.904 loss_box2d_reg: 0.2666 loss_box3d_depth: 1.196 loss_box3d_proj_ctr: 0.2338 loss_box3d_quat: 0.5882 loss_box3d_size: 0.1243 loss_centerness: 0.6319 loss_cls: 0.2413 loss_conf3d: 0.6465 lr: 0.002 max_mem: 5632M
[03/18 09:03:53 d2.utils.events]: eta: 5:37:07 iter: 3520 total_loss: 3.903 loss_box2d_reg: 0.2662 loss_box3d_depth: 1.189 loss_box3d_proj_ctr: 0.2242 loss_box3d_quat: 0.5488 loss_box3d_size: 0.1269 loss_centerness: 0.6321 loss_cls: 0.2358 loss_conf3d: 0.6463 lr: 0.002 max_mem: 5632M
[03/18 09:04:11 d2.utils.events]: eta: 5:27:48 iter: 3540 total_loss: 3.991 loss_box2d_reg: 0.2662 loss_box3d_depth: 1.226 loss_box3d_proj_ctr: 0.2323 loss_box3d_quat: 0.5794 loss_box3d_size: 0.1261 loss_centerness: 0.6322 loss_cls: 0.2415 loss_conf3d: 0.6599 lr: 0.002 max_mem: 5632M
[03/18 09:04:31 d2.utils.events]: eta: 5:43:34 iter: 3560 total_loss: 3.923 loss_box2d_reg: 0.2616 loss_box3d_depth: 1.201 loss_box3d_proj_ctr: 0.2304 loss_box3d_quat: 0.5719 loss_box3d_size: 0.1247 loss_centerness: 0.6322 loss_cls: 0.2418 loss_conf3d: 0.6518 lr: 0.002 max_mem: 5632M
[03/18 09:04:51 d2.utils.events]: eta: 5:58:03 iter: 3580 total_loss: 3.973 loss_box2d_reg: 0.2671 loss_box3d_depth: 1.211 loss_box3d_proj_ctr: 0.2281 loss_box3d_quat: 0.5739 loss_box3d_size: 0.1277 loss_centerness: 0.6316 loss_cls: 0.2396 loss_conf3d: 0.6473 lr: 0.002 max_mem: 5632M
[03/18 09:05:12 d2.utils.events]: eta: 6:27:45 iter: 3600 total_loss: 3.881 loss_box2d_reg: 0.2625 loss_box3d_depth: 1.146 loss_box3d_proj_ctr: 0.2291 loss_box3d_quat: 0.5851 loss_box3d_size: 0.1251 loss_centerness: 0.6316 loss_cls: 0.2373 loss_conf3d: 0.6507 lr: 0.002 max_mem: 5632M
[03/18 09:05:33 d2.utils.events]: eta: 6:12:17 iter: 3620 total_loss: 3.976 loss_box2d_reg: 0.2611 loss_box3d_depth: 1.196 loss_box3d_proj_ctr: 0.2287 loss_box3d_quat: 0.6027 loss_box3d_size: 0.124 loss_centerness: 0.632 loss_cls: 0.242 loss_conf3d: 0.6493 lr: 0.002 max_mem: 5632M
[03/18 09:05:53 d2.utils.events]: eta: 5:43:25 iter: 3640 total_loss: 3.925 loss_box2d_reg: 0.2619 loss_box3d_depth: 1.216 loss_box3d_proj_ctr: 0.2267 loss_box3d_quat: 0.5706 loss_box3d_size: 0.1264 loss_centerness: 0.6323 loss_cls: 0.2392 loss_conf3d: 0.6489 lr: 0.002 max_mem: 5632M
[03/18 09:06:11 d2.utils.events]: eta: 5:19:53 iter: 3660 total_loss: 4.046 loss_box2d_reg: 0.2622 loss_box3d_depth: 1.28 loss_box3d_proj_ctr: 0.2336 loss_box3d_quat: 0.5887 loss_box3d_size: 0.1281 loss_centerness: 0.632 loss_cls: 0.2395 loss_conf3d: 0.6507 lr: 0.002 max_mem: 5632M
[03/18 09:06:29 d2.utils.events]: eta: 5:31:13 iter: 3680 total_loss: 3.929 loss_box2d_reg: 0.2644 loss_box3d_depth: 1.235 loss_box3d_proj_ctr: 0.2333 loss_box3d_quat: 0.5652 loss_box3d_size: 0.1252 loss_centerness: 0.6313 loss_cls: 0.2365 loss_conf3d: 0.65 lr: 0.002 max_mem: 5632M
[03/18 09:06:48 d2.utils.events]: eta: 5:35:35 iter: 3700 total_loss: 3.76 loss_box2d_reg: 0.2559 loss_box3d_depth: 1.153 loss_box3d_proj_ctr: 0.2246 loss_box3d_quat: 0.5464 loss_box3d_size: 0.1246 loss_centerness: 0.6309 loss_cls: 0.2323 loss_conf3d: 0.6416 lr: 0.002 max_mem: 5632M
[03/18 09:07:08 d2.utils.events]: eta: 5:50:52 iter: 3720 total_loss: 3.931 loss_box2d_reg: 0.2599 loss_box3d_depth: 1.221 loss_box3d_proj_ctr: 0.2316 loss_box3d_quat: 0.5674 loss_box3d_size: 0.1215 loss_centerness: 0.6313 loss_cls: 0.2366 loss_conf3d: 0.654 lr: 0.002 max_mem: 5632M
[03/18 09:07:30 d2.utils.events]: eta: 6:38:46 iter: 3740 total_loss: 3.85 loss_box2d_reg: 0.2601 loss_box3d_depth: 1.181 loss_box3d_proj_ctr: 0.2173 loss_box3d_quat: 0.5407 loss_box3d_size: 0.1272 loss_centerness: 0.6313 loss_cls: 0.2356 loss_conf3d: 0.6511 lr: 0.002 max_mem: 5632M
[03/18 09:07:51 d2.utils.events]: eta: 6:05:52 iter: 3760 total_loss: 3.878 loss_box2d_reg: 0.2626 loss_box3d_depth: 1.163 loss_box3d_proj_ctr: 0.226 loss_box3d_quat: 0.5651 loss_box3d_size: 0.1229 loss_centerness: 0.6318 loss_cls: 0.2315 loss_conf3d: 0.6493 lr: 0.002 max_mem: 5632M
[03/18 09:08:10 d2.utils.events]: eta: 5:34:07 iter: 3780 total_loss: 3.955 loss_box2d_reg: 0.2578 loss_box3d_depth: 1.291 loss_box3d_proj_ctr: 0.2254 loss_box3d_quat: 0.5275 loss_box3d_size: 0.1226 loss_centerness: 0.6312 loss_cls: 0.2327 loss_conf3d: 0.6544 lr: 0.002 max_mem: 5632M
[03/18 09:08:29 d2.utils.events]: eta: 5:28:27 iter: 3800 total_loss: 3.901 loss_box2d_reg: 0.2607 loss_box3d_depth: 1.223 loss_box3d_proj_ctr: 0.2275 loss_box3d_quat: 0.5669 loss_box3d_size: 0.1246 loss_centerness: 0.632 loss_cls: 0.2323 loss_conf3d: 0.6478 lr: 0.002 max_mem: 5632M
[03/18 09:08:48 d2.utils.events]: eta: 5:41:50 iter: 3820 total_loss: 3.867 loss_box2d_reg: 0.2533 loss_box3d_depth: 1.197 loss_box3d_proj_ctr: 0.2283 loss_box3d_quat: 0.5565 loss_box3d_size: 0.1233 loss_centerness: 0.6303 loss_cls: 0.2357 loss_conf3d: 0.6465 lr: 0.002 max_mem: 5632M
[03/18 09:09:05 d2.utils.events]: eta: 5:07:06 iter: 3840 total_loss: 3.88 loss_box2d_reg: 0.2575 loss_box3d_depth: 1.137 loss_box3d_proj_ctr: 0.2199 loss_box3d_quat: 0.5358 loss_box3d_size: 0.1231 loss_centerness: 0.6316 loss_cls: 0.2371 loss_conf3d: 0.6506 lr: 0.002 max_mem: 5632M
[03/18 09:09:24 d2.utils.events]: eta: 5:35:23 iter: 3860 total_loss: 3.827 loss_box2d_reg: 0.2545 loss_box3d_depth: 1.159 loss_box3d_proj_ctr: 0.2218 loss_box3d_quat: 0.5643 loss_box3d_size: 0.1228 loss_centerness: 0.6317 loss_cls: 0.2303 loss_conf3d: 0.6469 lr: 0.002 max_mem: 5632M
[03/18 09:09:44 d2.utils.events]: eta: 5:37:09 iter: 3880 total_loss: 3.797 loss_box2d_reg: 0.2574 loss_box3d_depth: 1.102 loss_box3d_proj_ctr: 0.2225 loss_box3d_quat: 0.5656 loss_box3d_size: 0.1252 loss_centerness: 0.6315 loss_cls: 0.2341 loss_conf3d: 0.6412 lr: 0.002 max_mem: 5632M
[03/18 09:10:01 d2.utils.events]: eta: 5:09:14 iter: 3900 total_loss: 3.722 loss_box2d_reg: 0.257 loss_box3d_depth: 1.062 loss_box3d_proj_ctr: 0.2175 loss_box3d_quat: 0.5243 loss_box3d_size: 0.1242 loss_centerness: 0.6314 loss_cls: 0.2312 loss_conf3d: 0.6467 lr: 0.002 max_mem: 5632M
[03/18 09:10:21 d2.utils.events]: eta: 5:43:19 iter: 3920 total_loss: 3.694 loss_box2d_reg: 0.2505 loss_box3d_depth: 1.063 loss_box3d_proj_ctr: 0.2193 loss_box3d_quat: 0.5215 loss_box3d_size: 0.1188 loss_centerness: 0.6305 loss_cls: 0.2219 loss_conf3d: 0.6432 lr: 0.002 max_mem: 5632M
[03/18 09:10:40 d2.utils.events]: eta: 5:38:46 iter: 3940 total_loss: 3.959 loss_box2d_reg: 0.2537 loss_box3d_depth: 1.285 loss_box3d_proj_ctr: 0.228 loss_box3d_quat: 0.5264 loss_box3d_size: 0.1255 loss_centerness: 0.6307 loss_cls: 0.2279 loss_conf3d: 0.6532 lr: 0.002 max_mem: 5632M
[03/18 09:11:00 d2.utils.events]: eta: 5:56:42 iter: 3960 total_loss: 3.935 loss_box2d_reg: 0.2608 loss_box3d_depth: 1.202 loss_box3d_proj_ctr: 0.2238 loss_box3d_quat: 0.5946 loss_box3d_size: 0.1248 loss_centerness: 0.6324 loss_cls: 0.2327 loss_conf3d: 0.647 lr: 0.002 max_mem: 5632M
[03/18 09:11:19 d2.utils.events]: eta: 5:27:30 iter: 3980 total_loss: 3.936 loss_box2d_reg: 0.2561 loss_box3d_depth: 1.241 loss_box3d_proj_ctr: 0.228 loss_box3d_quat: 0.606 loss_box3d_size: 0.1266 loss_centerness: 0.6312 loss_cls: 0.2326 loss_conf3d: 0.6486 lr: 0.002 max_mem: 5632M
[03/18 09:11:38 d2.utils.events]: eta: 5:37:11 iter: 4000 total_loss: 3.912 loss_box2d_reg: 0.2555 loss_box3d_depth: 1.18 loss_box3d_proj_ctr: 0.2265 loss_box3d_quat: 0.5709 loss_box3d_size: 0.1198 loss_centerness: 0.63 loss_cls: 0.23 loss_conf3d: 0.6514 lr: 0.002 max_mem: 5632M
[03/18 09:11:44 fvcore.common.checkpoint]: Saving checkpoint to ./model_0003999.pth
[03/18 09:11:45 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 09:11:45 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 09:11:46 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 09:11:46 tridet.data.build]: Using test sampler InferenceSampler
[03/18 09:11:46 d2.evaluation.evaluator]: Start inference on 48 batches
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azuryl commented Mar 20, 2023

[03/18 09:12:03 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 0.3028 s/iter. Eval: 1.2359 s/iter. Total: 1.5396 s/iter. ETA=0:00:56
[03/18 09:12:09 d2.evaluation.evaluator]: Inference done 15/48. Dataloading: 0.0011 s/iter. Inference: 0.3021 s/iter. Eval: 1.1899 s/iter. Total: 1.4931 s/iter. ETA=0:00:49
[03/18 09:12:15 d2.evaluation.evaluator]: Inference done 19/48. Dataloading: 0.0011 s/iter. Inference: 0.3033 s/iter. Eval: 1.1764 s/iter. Total: 1.4809 s/iter. ETA=0:00:42
[03/18 09:12:20 d2.evaluation.evaluator]: Inference done 23/48. Dataloading: 0.0011 s/iter. Inference: 0.3023 s/iter. Eval: 1.1442 s/iter. Total: 1.4477 s/iter. ETA=0:00:36
[03/18 09:12:26 d2.evaluation.evaluator]: Inference done 27/48. Dataloading: 0.0011 s/iter. Inference: 0.3030 s/iter. Eval: 1.1281 s/iter. Total: 1.4323 s/iter. ETA=0:00:30
[03/18 09:12:31 d2.evaluation.evaluator]: Inference done 31/48. Dataloading: 0.0011 s/iter. Inference: 0.3038 s/iter. Eval: 1.1206 s/iter. Total: 1.4256 s/iter. ETA=0:00:24
[03/18 09:12:37 d2.evaluation.evaluator]: Inference done 35/48. Dataloading: 0.0011 s/iter. Inference: 0.3022 s/iter. Eval: 1.1130 s/iter. Total: 1.4165 s/iter. ETA=0:00:18
[03/18 09:12:42 d2.evaluation.evaluator]: Inference done 39/48. Dataloading: 0.0011 s/iter. Inference: 0.3012 s/iter. Eval: 1.1092 s/iter. Total: 1.4116 s/iter. ETA=0:00:12
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 09:12:47 d2.evaluation.evaluator]: Inference done 43/48. Dataloading: 0.0011 s/iter. Inference: 0.2998 s/iter. Eval: 1.0979 s/iter. Total: 1.3989 s/iter. ETA=0:00:06
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 09:12:52 d2.evaluation.evaluator]: Inference done 47/48. Dataloading: 0.0011 s/iter. Inference: 0.2982 s/iter. Eval: 1.0865 s/iter. Total: 1.3860 s/iter. ETA=0:00:01
[03/18 09:12:53 d2.evaluation.evaluator]: Total inference time: 0:00:58.725225 (1.365703 s / iter per device, on 8 devices)
[03/18 09:12:53 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:12 (0.293250 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 09:12:56 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 09:12:56 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0004000/kitti_3d_val/coco_instances_results.json
[03/18 09:12:58 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=1.44s)
creating index...
index created!
[03/18 09:12:59 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 09:13:02 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 2.75 seconds.
[03/18 09:13:02 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 09:13:03 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.91 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.106
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.224
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.089
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.071
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.104
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.157
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.119
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.269
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.319
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.175
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.321
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.427
[03/18 09:13:03 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
10.645 22.436 8.911 7.087 10.383 15.743
[03/18 09:13:03 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 33.107 Pedestrian 10.627 Cyclist 1.456
Van 4.965 Truck 3.072
[03/18 09:13:53 tridet]: Running prediction visualizer: d2_visualizer
[03/18 09:13:56 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 5.61it/s][03/18 09:13:59 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:07<00:00, 2.72it/s][03/18 09:14:17 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 09:14:17 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 10.6454
kitti_3d_val/bbox/AP50 22.4358
kitti_3d_val/bbox/AP75 8.91102
kitti_3d_val/bbox/APs 7.08679
kitti_3d_val/bbox/APm 10.3831
kitti_3d_val/bbox/APl 15.7428
kitti_3d_val/bbox/AP-Car 33.1072
kitti_3d_val/bbox/AP-Pedestrian 10.6271
kitti_3d_val/bbox/AP-Cyclist 1.45599
kitti_3d_val/bbox/AP-Van 4.96488
kitti_3d_val/bbox/AP-Truck 3.07185
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 5.83732
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 0.166402
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 4.93774
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 0.136411
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 4.4814
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 0.108335
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.00231369
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.00347029
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.00410547
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.00181932
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0.00166397
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 0.265888
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.19665
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.172964
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 0.974618
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.0648628
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.0719333
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 8.85974
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 0.767813
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 7.61922
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 0.719379
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 7.09601
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 0.598989
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 0.0117154
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.0176528
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.0214339
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0158284
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.0091695
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.00922282
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 0.675361
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.061216
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 0.443258
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.0213675
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 0.36229
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0131794
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 3.17227
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0.0545887
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.53707
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0.00446791
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.557226
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0.00448585
[03/18 09:14:34 d2.utils.events]: eta: 2 days, 3:18:47 iter: 4020 total_loss: 3.84 loss_box2d_reg: 0.2573 loss_box3d_depth: 1.225 loss_box3d_proj_ctr: 0.2209 loss_box3d_quat: 0.5294 loss_box3d_size: 0.125 loss_centerness: 0.6307 loss_cls: 0.2312 loss_conf3d: 0.6497 lr: 0.002 max_mem: 5632M
[03/18 09:14:53 d2.utils.events]: eta: 5:28:44 iter: 4040 total_loss: 3.883 loss_box2d_reg: 0.2537 loss_box3d_depth: 1.214 loss_box3d_proj_ctr: 0.2203 loss_box3d_quat: 0.5525 loss_box3d_size: 0.1218 loss_centerness: 0.6299 loss_cls: 0.2264 loss_conf3d: 0.65 lr: 0.002 max_mem: 5632M
[03/18 09:15:12 d2.utils.events]: eta: 5:26:39 iter: 4060 total_loss: 3.791 loss_box2d_reg: 0.2543 loss_box3d_depth: 1.148 loss_box3d_proj_ctr: 0.212 loss_box3d_quat: 0.5488 loss_box3d_size: 0.1246 loss_centerness: 0.6315 loss_cls: 0.2343 loss_conf3d: 0.6461 lr: 0.002 max_mem: 5632M
[03/18 09:15:31 d2.utils.events]: eta: 5:28:47 iter: 4080 total_loss: 3.79 loss_box2d_reg: 0.2521 loss_box3d_depth: 1.17 loss_box3d_proj_ctr: 0.2179 loss_box3d_quat: 0.5233 loss_box3d_size: 0.1234 loss_centerness: 0.629 loss_cls: 0.2221 loss_conf3d: 0.6475 lr: 0.002 max_mem: 5632M
[03/18 09:15:52 d2.utils.events]: eta: 6:14:36 iter: 4100 total_loss: 3.732 loss_box2d_reg: 0.2566 loss_box3d_depth: 1.098 loss_box3d_proj_ctr: 0.22 loss_box3d_quat: 0.5323 loss_box3d_size: 0.1226 loss_centerness: 0.6306 loss_cls: 0.2276 loss_conf3d: 0.6433 lr: 0.002 max_mem: 5632M
[03/18 09:16:12 d2.utils.events]: eta: 5:36:51 iter: 4120 total_loss: 3.778 loss_box2d_reg: 0.2527 loss_box3d_depth: 1.174 loss_box3d_proj_ctr: 0.2163 loss_box3d_quat: 0.5162 loss_box3d_size: 0.1216 loss_centerness: 0.6305 loss_cls: 0.23 loss_conf3d: 0.6453 lr: 0.002 max_mem: 5632M
[03/18 09:16:31 d2.utils.events]: eta: 5:41:01 iter: 4140 total_loss: 3.728 loss_box2d_reg: 0.2585 loss_box3d_depth: 1.103 loss_box3d_proj_ctr: 0.2251 loss_box3d_quat: 0.5256 loss_box3d_size: 0.1245 loss_centerness: 0.6311 loss_cls: 0.2243 loss_conf3d: 0.6411 lr: 0.002 max_mem: 5632M
[03/18 09:16:49 d2.utils.events]: eta: 5:13:03 iter: 4160 total_loss: 3.722 loss_box2d_reg: 0.2501 loss_box3d_depth: 1.067 loss_box3d_proj_ctr: 0.2147 loss_box3d_quat: 0.5564 loss_box3d_size: 0.1215 loss_centerness: 0.6308 loss_cls: 0.2271 loss_conf3d: 0.6381 lr: 0.002 max_mem: 5632M
[03/18 09:17:07 d2.utils.events]: eta: 5:10:47 iter: 4180 total_loss: 3.693 loss_box2d_reg: 0.252 loss_box3d_depth: 1.11 loss_box3d_proj_ctr: 0.2125 loss_box3d_quat: 0.4923 loss_box3d_size: 0.123 loss_centerness: 0.6298 loss_cls: 0.2209 loss_conf3d: 0.644 lr: 0.002 max_mem: 5632M
[03/18 09:17:25 d2.utils.events]: eta: 5:02:55 iter: 4200 total_loss: 3.83 loss_box2d_reg: 0.2524 loss_box3d_depth: 1.172 loss_box3d_proj_ctr: 0.2153 loss_box3d_quat: 0.5298 loss_box3d_size: 0.1205 loss_centerness: 0.6292 loss_cls: 0.2225 loss_conf3d: 0.6465 lr: 0.002 max_mem: 5632M
[03/18 09:17:42 d2.utils.events]: eta: 5:02:20 iter: 4220 total_loss: 3.73 loss_box2d_reg: 0.2529 loss_box3d_depth: 1.129 loss_box3d_proj_ctr: 0.2234 loss_box3d_quat: 0.5168 loss_box3d_size: 0.1211 loss_centerness: 0.6302 loss_cls: 0.2226 loss_conf3d: 0.6449 lr: 0.002 max_mem: 5632M
[03/18 09:18:01 d2.utils.events]: eta: 5:29:16 iter: 4240 total_loss: 3.825 loss_box2d_reg: 0.2555 loss_box3d_depth: 1.164 loss_box3d_proj_ctr: 0.2166 loss_box3d_quat: 0.5466 loss_box3d_size: 0.1227 loss_centerness: 0.6306 loss_cls: 0.2222 loss_conf3d: 0.6444 lr: 0.002 max_mem: 5632M
[03/18 09:18:19 d2.utils.events]: eta: 5:10:20 iter: 4260 total_loss: 3.712 loss_box2d_reg: 0.2491 loss_box3d_depth: 1.161 loss_box3d_proj_ctr: 0.2082 loss_box3d_quat: 0.4864 loss_box3d_size: 0.1232 loss_centerness: 0.6298 loss_cls: 0.2233 loss_conf3d: 0.6458 lr: 0.002 max_mem: 5632M
[03/18 09:18:38 d2.utils.events]: eta: 5:17:19 iter: 4280 total_loss: 3.666 loss_box2d_reg: 0.2448 loss_box3d_depth: 1.112 loss_box3d_proj_ctr: 0.2147 loss_box3d_quat: 0.4787 loss_box3d_size: 0.1209 loss_centerness: 0.6295 loss_cls: 0.2169 loss_conf3d: 0.6428 lr: 0.002 max_mem: 5632M
[03/18 09:18:56 d2.utils.events]: eta: 5:26:59 iter: 4300 total_loss: 3.618 loss_box2d_reg: 0.2467 loss_box3d_depth: 1.007 loss_box3d_proj_ctr: 0.2142 loss_box3d_quat: 0.4996 loss_box3d_size: 0.1191 loss_centerness: 0.6288 loss_cls: 0.2202 loss_conf3d: 0.6332 lr: 0.002 max_mem: 5632M
[03/18 09:19:15 d2.utils.events]: eta: 5:10:56 iter: 4320 total_loss: 3.598 loss_box2d_reg: 0.2488 loss_box3d_depth: 1.014 loss_box3d_proj_ctr: 0.2214 loss_box3d_quat: 0.4726 loss_box3d_size: 0.1167 loss_centerness: 0.6295 loss_cls: 0.2209 loss_conf3d: 0.6414 lr: 0.002 max_mem: 5632M
[03/18 09:19:33 d2.utils.events]: eta: 5:18:36 iter: 4340 total_loss: 3.664 loss_box2d_reg: 0.2482 loss_box3d_depth: 1.066 loss_box3d_proj_ctr: 0.2162 loss_box3d_quat: 0.5185 loss_box3d_size: 0.1242 loss_centerness: 0.6308 loss_cls: 0.2178 loss_conf3d: 0.6394 lr: 0.002 max_mem: 5632M
[03/18 09:19:51 d2.utils.events]: eta: 5:16:59 iter: 4360 total_loss: 3.515 loss_box2d_reg: 0.244 loss_box3d_depth: 0.9959 loss_box3d_proj_ctr: 0.2098 loss_box3d_quat: 0.4925 loss_box3d_size: 0.1187 loss_centerness: 0.6287 loss_cls: 0.212 loss_conf3d: 0.6362 lr: 0.002 max_mem: 5632M
[03/18 09:20:09 d2.utils.events]: eta: 5:01:34 iter: 4380 total_loss: 3.627 loss_box2d_reg: 0.2409 loss_box3d_depth: 1.085 loss_box3d_proj_ctr: 0.2121 loss_box3d_quat: 0.5132 loss_box3d_size: 0.1251 loss_centerness: 0.6288 loss_cls: 0.2142 loss_conf3d: 0.6384 lr: 0.002 max_mem: 5634M
[03/18 09:20:27 d2.utils.events]: eta: 5:15:19 iter: 4400 total_loss: 3.658 loss_box2d_reg: 0.2479 loss_box3d_depth: 1.089 loss_box3d_proj_ctr: 0.2103 loss_box3d_quat: 0.4861 loss_box3d_size: 0.1186 loss_centerness: 0.6303 loss_cls: 0.2228 loss_conf3d: 0.643 lr: 0.002 max_mem: 5634M
[03/18 09:20:46 d2.utils.events]: eta: 5:15:43 iter: 4420 total_loss: 3.974 loss_box2d_reg: 0.2505 loss_box3d_depth: 1.368 loss_box3d_proj_ctr: 0.2129 loss_box3d_quat: 0.5078 loss_box3d_size: 0.1203 loss_centerness: 0.6303 loss_cls: 0.2226 loss_conf3d: 0.6617 lr: 0.002 max_mem: 5634M
[03/18 09:21:04 d2.utils.events]: eta: 5:07:24 iter: 4440 total_loss: 3.727 loss_box2d_reg: 0.2437 loss_box3d_depth: 1.196 loss_box3d_proj_ctr: 0.2113 loss_box3d_quat: 0.506 loss_box3d_size: 0.1218 loss_centerness: 0.6282 loss_cls: 0.2155 loss_conf3d: 0.6478 lr: 0.002 max_mem: 5634M
[03/18 09:21:22 d2.utils.events]: eta: 5:11:02 iter: 4460 total_loss: 3.586 loss_box2d_reg: 0.2471 loss_box3d_depth: 1.001 loss_box3d_proj_ctr: 0.2134 loss_box3d_quat: 0.4822 loss_box3d_size: 0.1179 loss_centerness: 0.6288 loss_cls: 0.2161 loss_conf3d: 0.6401 lr: 0.002 max_mem: 5634M
[03/18 09:21:41 d2.utils.events]: eta: 5:23:01 iter: 4480 total_loss: 3.689 loss_box2d_reg: 0.2469 loss_box3d_depth: 1.05 loss_box3d_proj_ctr: 0.2062 loss_box3d_quat: 0.5231 loss_box3d_size: 0.1269 loss_centerness: 0.6298 loss_cls: 0.2224 loss_conf3d: 0.6399 lr: 0.002 max_mem: 5634M
[03/18 09:21:59 d2.utils.events]: eta: 5:11:56 iter: 4500 total_loss: 3.609 loss_box2d_reg: 0.2458 loss_box3d_depth: 1.009 loss_box3d_proj_ctr: 0.2114 loss_box3d_quat: 0.4892 loss_box3d_size: 0.1199 loss_centerness: 0.6299 loss_cls: 0.2175 loss_conf3d: 0.6369 lr: 0.002 max_mem: 5634M
[03/18 09:22:18 d2.utils.events]: eta: 5:22:44 iter: 4520 total_loss: 3.665 loss_box2d_reg: 0.2438 loss_box3d_depth: 1.089 loss_box3d_proj_ctr: 0.2112 loss_box3d_quat: 0.489 loss_box3d_size: 0.1201 loss_centerness: 0.6284 loss_cls: 0.2191 loss_conf3d: 0.6406 lr: 0.002 max_mem: 5634M
[03/18 09:22:37 d2.utils.events]: eta: 5:26:50 iter: 4540 total_loss: 3.693 loss_box2d_reg: 0.2449 loss_box3d_depth: 1.08 loss_box3d_proj_ctr: 0.2051 loss_box3d_quat: 0.4948 loss_box3d_size: 0.1181 loss_centerness: 0.6285 loss_cls: 0.2171 loss_conf3d: 0.6437 lr: 0.002 max_mem: 5634M
[03/18 09:22:55 d2.utils.events]: eta: 5:03:02 iter: 4560 total_loss: 3.589 loss_box2d_reg: 0.2383 loss_box3d_depth: 1.049 loss_box3d_proj_ctr: 0.2077 loss_box3d_quat: 0.4979 loss_box3d_size: 0.1181 loss_centerness: 0.628 loss_cls: 0.2155 loss_conf3d: 0.6385 lr: 0.002 max_mem: 5634M
[03/18 09:23:13 d2.utils.events]: eta: 5:05:44 iter: 4580 total_loss: 3.521 loss_box2d_reg: 0.2433 loss_box3d_depth: 0.9822 loss_box3d_proj_ctr: 0.209 loss_box3d_quat: 0.4904 loss_box3d_size: 0.1212 loss_centerness: 0.6289 loss_cls: 0.2115 loss_conf3d: 0.6335 lr: 0.002 max_mem: 5634M
[03/18 09:23:32 d2.utils.events]: eta: 5:17:50 iter: 4600 total_loss: 3.562 loss_box2d_reg: 0.2424 loss_box3d_depth: 1.046 loss_box3d_proj_ctr: 0.2038 loss_box3d_quat: 0.498 loss_box3d_size: 0.12 loss_centerness: 0.628 loss_cls: 0.2136 loss_conf3d: 0.6382 lr: 0.002 max_mem: 5634M
[03/18 09:23:49 d2.utils.events]: eta: 4:57:18 iter: 4620 total_loss: 3.663 loss_box2d_reg: 0.2419 loss_box3d_depth: 1.118 loss_box3d_proj_ctr: 0.2107 loss_box3d_quat: 0.4989 loss_box3d_size: 0.1188 loss_centerness: 0.6282 loss_cls: 0.2161 loss_conf3d: 0.6392 lr: 0.002 max_mem: 5634M
[03/18 09:24:07 d2.utils.events]: eta: 4:56:46 iter: 4640 total_loss: 3.6 loss_box2d_reg: 0.2455 loss_box3d_depth: 1.066 loss_box3d_proj_ctr: 0.2018 loss_box3d_quat: 0.49 loss_box3d_size: 0.1184 loss_centerness: 0.6297 loss_cls: 0.2105 loss_conf3d: 0.642 lr: 0.002 max_mem: 5634M
[03/18 09:24:24 d2.utils.events]: eta: 5:00:22 iter: 4660 total_loss: 3.672 loss_box2d_reg: 0.2458 loss_box3d_depth: 1.09 loss_box3d_proj_ctr: 0.2139 loss_box3d_quat: 0.5296 loss_box3d_size: 0.1211 loss_centerness: 0.6287 loss_cls: 0.2187 loss_conf3d: 0.6445 lr: 0.002 max_mem: 5634M
[03/18 09:24:42 d2.utils.events]: eta: 5:03:37 iter: 4680 total_loss: 3.576 loss_box2d_reg: 0.2443 loss_box3d_depth: 1.034 loss_box3d_proj_ctr: 0.208 loss_box3d_quat: 0.4752 loss_box3d_size: 0.1211 loss_centerness: 0.6286 loss_cls: 0.2178 loss_conf3d: 0.6452 lr: 0.002 max_mem: 5634M
[03/18 09:25:00 d2.utils.events]: eta: 4:57:21 iter: 4700 total_loss: 3.456 loss_box2d_reg: 0.2408 loss_box3d_depth: 0.9933 loss_box3d_proj_ctr: 0.1945 loss_box3d_quat: 0.4672 loss_box3d_size: 0.1169 loss_centerness: 0.6279 loss_cls: 0.2129 loss_conf3d: 0.6332 lr: 0.002 max_mem: 5634M
[03/18 09:25:19 d2.utils.events]: eta: 5:16:13 iter: 4720 total_loss: 3.592 loss_box2d_reg: 0.2424 loss_box3d_depth: 1.064 loss_box3d_proj_ctr: 0.2019 loss_box3d_quat: 0.4957 loss_box3d_size: 0.1184 loss_centerness: 0.629 loss_cls: 0.2141 loss_conf3d: 0.6399 lr: 0.002 max_mem: 5634M
[03/18 09:25:36 d2.utils.events]: eta: 4:49:54 iter: 4740 total_loss: 3.762 loss_box2d_reg: 0.2434 loss_box3d_depth: 1.189 loss_box3d_proj_ctr: 0.2086 loss_box3d_quat: 0.507 loss_box3d_size: 0.118 loss_centerness: 0.6289 loss_cls: 0.2118 loss_conf3d: 0.6406 lr: 0.002 max_mem: 5634M
[03/18 09:25:54 d2.utils.events]: eta: 5:06:53 iter: 4760 total_loss: 3.693 loss_box2d_reg: 0.2438 loss_box3d_depth: 1.084 loss_box3d_proj_ctr: 0.2063 loss_box3d_quat: 0.4815 loss_box3d_size: 0.1177 loss_centerness: 0.6295 loss_cls: 0.2158 loss_conf3d: 0.6438 lr: 0.002 max_mem: 5634M
[03/18 09:26:12 d2.utils.events]: eta: 5:07:56 iter: 4780 total_loss: 3.446 loss_box2d_reg: 0.2372 loss_box3d_depth: 0.9538 loss_box3d_proj_ctr: 0.2043 loss_box3d_quat: 0.4653 loss_box3d_size: 0.1179 loss_centerness: 0.6285 loss_cls: 0.2096 loss_conf3d: 0.6331 lr: 0.002 max_mem: 5634M
[03/18 09:26:30 d2.utils.events]: eta: 5:00:03 iter: 4800 total_loss: 3.549 loss_box2d_reg: 0.239 loss_box3d_depth: 1.027 loss_box3d_proj_ctr: 0.1994 loss_box3d_quat: 0.4855 loss_box3d_size: 0.1162 loss_centerness: 0.6274 loss_cls: 0.2092 loss_conf3d: 0.6362 lr: 0.002 max_mem: 5634M
[03/18 09:26:48 d2.utils.events]: eta: 4:58:59 iter: 4820 total_loss: 3.536 loss_box2d_reg: 0.2416 loss_box3d_depth: 1.04 loss_box3d_proj_ctr: 0.1955 loss_box3d_quat: 0.4678 loss_box3d_size: 0.1186 loss_centerness: 0.6283 loss_cls: 0.2057 loss_conf3d: 0.6365 lr: 0.002 max_mem: 5634M
[03/18 09:27:06 d2.utils.events]: eta: 4:59:38 iter: 4840 total_loss: 3.585 loss_box2d_reg: 0.2428 loss_box3d_depth: 1.072 loss_box3d_proj_ctr: 0.2005 loss_box3d_quat: 0.4921 loss_box3d_size: 0.1178 loss_centerness: 0.6275 loss_cls: 0.2106 loss_conf3d: 0.6405 lr: 0.002 max_mem: 5634M
[03/18 09:27:24 d2.utils.events]: eta: 5:05:10 iter: 4860 total_loss: 3.422 loss_box2d_reg: 0.239 loss_box3d_depth: 0.9591 loss_box3d_proj_ctr: 0.2087 loss_box3d_quat: 0.4421 loss_box3d_size: 0.1157 loss_centerness: 0.6286 loss_cls: 0.2094 loss_conf3d: 0.631 lr: 0.002 max_mem: 5634M
[03/18 09:27:41 d2.utils.events]: eta: 4:47:45 iter: 4880 total_loss: 3.364 loss_box2d_reg: 0.2358 loss_box3d_depth: 0.9282 loss_box3d_proj_ctr: 0.2015 loss_box3d_quat: 0.48 loss_box3d_size: 0.1162 loss_centerness: 0.6259 loss_cls: 0.2027 loss_conf3d: 0.6238 lr: 0.002 max_mem: 5634M
[03/18 09:28:00 d2.utils.events]: eta: 5:10:43 iter: 4900 total_loss: 3.582 loss_box2d_reg: 0.2391 loss_box3d_depth: 1.096 loss_box3d_proj_ctr: 0.1974 loss_box3d_quat: 0.4646 loss_box3d_size: 0.1161 loss_centerness: 0.6284 loss_cls: 0.21 loss_conf3d: 0.6436 lr: 0.002 max_mem: 5634M
[03/18 09:28:17 d2.utils.events]: eta: 4:53:41 iter: 4920 total_loss: 3.655 loss_box2d_reg: 0.2402 loss_box3d_depth: 1.096 loss_box3d_proj_ctr: 0.205 loss_box3d_quat: 0.4487 loss_box3d_size: 0.1211 loss_centerness: 0.6275 loss_cls: 0.2113 loss_conf3d: 0.6477 lr: 0.002 max_mem: 5634M
[03/18 09:28:34 d2.utils.events]: eta: 4:42:00 iter: 4940 total_loss: 3.45 loss_box2d_reg: 0.2403 loss_box3d_depth: 0.9759 loss_box3d_proj_ctr: 0.1918 loss_box3d_quat: 0.4478 loss_box3d_size: 0.1174 loss_centerness: 0.6285 loss_cls: 0.2075 loss_conf3d: 0.629 lr: 0.002 max_mem: 5634M
[03/18 09:28:52 d2.utils.events]: eta: 5:06:02 iter: 4960 total_loss: 3.536 loss_box2d_reg: 0.2361 loss_box3d_depth: 1.015 loss_box3d_proj_ctr: 0.196 loss_box3d_quat: 0.4718 loss_box3d_size: 0.1154 loss_centerness: 0.627 loss_cls: 0.2055 loss_conf3d: 0.6361 lr: 0.002 max_mem: 5634M
[03/18 09:29:10 d2.utils.events]: eta: 4:56:34 iter: 4980 total_loss: 3.483 loss_box2d_reg: 0.2364 loss_box3d_depth: 0.9794 loss_box3d_proj_ctr: 0.1955 loss_box3d_quat: 0.4608 loss_box3d_size: 0.1142 loss_centerness: 0.6278 loss_cls: 0.2075 loss_conf3d: 0.6311 lr: 0.002 max_mem: 5634M
[03/18 09:29:28 d2.utils.events]: eta: 5:03:19 iter: 5000 total_loss: 3.504 loss_box2d_reg: 0.2371 loss_box3d_depth: 0.9855 loss_box3d_proj_ctr: 0.1974 loss_box3d_quat: 0.5016 loss_box3d_size: 0.1203 loss_centerness: 0.6274 loss_cls: 0.2078 loss_conf3d: 0.6393 lr: 0.002 max_mem: 5634M
[03/18 09:29:53 d2.utils.events]: eta: 6:52:25 iter: 5020 total_loss: 3.489 loss_box2d_reg: 0.2352 loss_box3d_depth: 1.001 loss_box3d_proj_ctr: 0.198 loss_box3d_quat: 0.4533 loss_box3d_size: 0.1222 loss_centerness: 0.627 loss_cls: 0.2073 loss_conf3d: 0.6341 lr: 0.002 max_mem: 5634M
[03/18 09:30:11 d2.utils.events]: eta: 5:06:26 iter: 5040 total_loss: 3.383 loss_box2d_reg: 0.2312 loss_box3d_depth: 0.9141 loss_box3d_proj_ctr: 0.1914 loss_box3d_quat: 0.4652 loss_box3d_size: 0.1183 loss_centerness: 0.6269 loss_cls: 0.2046 loss_conf3d: 0.6295 lr: 0.002 max_mem: 5634M
[03/18 09:30:29 d2.utils.events]: eta: 4:48:27 iter: 5060 total_loss: 3.489 loss_box2d_reg: 0.2389 loss_box3d_depth: 0.9942 loss_box3d_proj_ctr: 0.1951 loss_box3d_quat: 0.4641 loss_box3d_size: 0.1172 loss_centerness: 0.6286 loss_cls: 0.206 loss_conf3d: 0.6328 lr: 0.002 max_mem: 5634M
[03/18 09:30:47 d2.utils.events]: eta: 5:05:19 iter: 5080 total_loss: 3.481 loss_box2d_reg: 0.2286 loss_box3d_depth: 0.9889 loss_box3d_proj_ctr: 0.1933 loss_box3d_quat: 0.4414 loss_box3d_size: 0.1155 loss_centerness: 0.6263 loss_cls: 0.2008 loss_conf3d: 0.6328 lr: 0.002 max_mem: 5634M
[03/18 09:31:05 d2.utils.events]: eta: 4:58:13 iter: 5100 total_loss: 3.438 loss_box2d_reg: 0.2345 loss_box3d_depth: 0.9622 loss_box3d_proj_ctr: 0.1967 loss_box3d_quat: 0.4557 loss_box3d_size: 0.1189 loss_centerness: 0.628 loss_cls: 0.2036 loss_conf3d: 0.6317 lr: 0.002 max_mem: 5634M
[03/18 09:31:23 d2.utils.events]: eta: 4:55:01 iter: 5120 total_loss: 3.576 loss_box2d_reg: 0.2365 loss_box3d_depth: 1.073 loss_box3d_proj_ctr: 0.195 loss_box3d_quat: 0.4592 loss_box3d_size: 0.1157 loss_centerness: 0.6272 loss_cls: 0.2041 loss_conf3d: 0.6451 lr: 0.002 max_mem: 5634M
[03/18 09:31:41 d2.utils.events]: eta: 5:05:32 iter: 5140 total_loss: 3.39 loss_box2d_reg: 0.2327 loss_box3d_depth: 0.9495 loss_box3d_proj_ctr: 0.1901 loss_box3d_quat: 0.4288 loss_box3d_size: 0.114 loss_centerness: 0.6269 loss_cls: 0.2045 loss_conf3d: 0.6339 lr: 0.002 max_mem: 5634M
[03/18 09:31:59 d2.utils.events]: eta: 4:50:17 iter: 5160 total_loss: 3.458 loss_box2d_reg: 0.2318 loss_box3d_depth: 0.9923 loss_box3d_proj_ctr: 0.1917 loss_box3d_quat: 0.4512 loss_box3d_size: 0.1154 loss_centerness: 0.627 loss_cls: 0.2011 loss_conf3d: 0.6361 lr: 0.002 max_mem: 5634M
[03/18 09:32:16 d2.utils.events]: eta: 4:38:49 iter: 5180 total_loss: 3.534 loss_box2d_reg: 0.238 loss_box3d_depth: 1.087 loss_box3d_proj_ctr: 0.195 loss_box3d_quat: 0.4561 loss_box3d_size: 0.1184 loss_centerness: 0.6278 loss_cls: 0.2037 loss_conf3d: 0.6444 lr: 0.002 max_mem: 5634M
[03/18 09:32:34 d2.utils.events]: eta: 5:01:33 iter: 5200 total_loss: 3.384 loss_box2d_reg: 0.233 loss_box3d_depth: 0.9026 loss_box3d_proj_ctr: 0.1947 loss_box3d_quat: 0.4625 loss_box3d_size: 0.1148 loss_centerness: 0.6262 loss_cls: 0.2007 loss_conf3d: 0.6287 lr: 0.002 max_mem: 5634M
[03/18 09:32:52 d2.utils.events]: eta: 4:54:44 iter: 5220 total_loss: 3.433 loss_box2d_reg: 0.233 loss_box3d_depth: 0.9733 loss_box3d_proj_ctr: 0.1962 loss_box3d_quat: 0.4365 loss_box3d_size: 0.1162 loss_centerness: 0.6269 loss_cls: 0.2024 loss_conf3d: 0.6307 lr: 0.002 max_mem: 5634M
[03/18 09:33:10 d2.utils.events]: eta: 4:48:47 iter: 5240 total_loss: 3.415 loss_box2d_reg: 0.2319 loss_box3d_depth: 0.9373 loss_box3d_proj_ctr: 0.1995 loss_box3d_quat: 0.4637 loss_box3d_size: 0.1171 loss_centerness: 0.6261 loss_cls: 0.2054 loss_conf3d: 0.6242 lr: 0.002 max_mem: 5634M
[03/18 09:33:28 d2.utils.events]: eta: 5:05:06 iter: 5260 total_loss: 3.369 loss_box2d_reg: 0.2313 loss_box3d_depth: 0.9333 loss_box3d_proj_ctr: 0.1923 loss_box3d_quat: 0.439 loss_box3d_size: 0.1135 loss_centerness: 0.6264 loss_cls: 0.1969 loss_conf3d: 0.6202 lr: 0.002 max_mem: 5634M
[03/18 09:33:46 d2.utils.events]: eta: 4:54:11 iter: 5280 total_loss: 3.343 loss_box2d_reg: 0.2379 loss_box3d_depth: 0.9197 loss_box3d_proj_ctr: 0.1952 loss_box3d_quat: 0.4382 loss_box3d_size: 0.1156 loss_centerness: 0.6273 loss_cls: 0.2035 loss_conf3d: 0.6264 lr: 0.002 max_mem: 5634M
[03/18 09:34:05 d2.utils.events]: eta: 5:04:36 iter: 5300 total_loss: 3.257 loss_box2d_reg: 0.2281 loss_box3d_depth: 0.8782 loss_box3d_proj_ctr: 0.1812 loss_box3d_quat: 0.4024 loss_box3d_size: 0.1126 loss_centerness: 0.6263 loss_cls: 0.1943 loss_conf3d: 0.6225 lr: 0.002 max_mem: 5634M
[03/18 09:34:23 d2.utils.events]: eta: 5:00:31 iter: 5320 total_loss: 3.35 loss_box2d_reg: 0.2296 loss_box3d_depth: 0.8994 loss_box3d_proj_ctr: 0.1833 loss_box3d_quat: 0.4252 loss_box3d_size: 0.1151 loss_centerness: 0.6271 loss_cls: 0.1995 loss_conf3d: 0.6296 lr: 0.002 max_mem: 5634M
[03/18 09:34:41 d2.utils.events]: eta: 4:53:41 iter: 5340 total_loss: 3.413 loss_box2d_reg: 0.2287 loss_box3d_depth: 0.9666 loss_box3d_proj_ctr: 0.1907 loss_box3d_quat: 0.4339 loss_box3d_size: 0.1143 loss_centerness: 0.6267 loss_cls: 0.1997 loss_conf3d: 0.6335 lr: 0.002 max_mem: 5634M
[03/18 09:34:59 d2.utils.events]: eta: 4:49:38 iter: 5360 total_loss: 3.492 loss_box2d_reg: 0.2331 loss_box3d_depth: 1.081 loss_box3d_proj_ctr: 0.1855 loss_box3d_quat: 0.4154 loss_box3d_size: 0.1118 loss_centerness: 0.6263 loss_cls: 0.2008 loss_conf3d: 0.6436 lr: 0.002 max_mem: 5634M
[03/18 09:35:17 d2.utils.events]: eta: 5:05:22 iter: 5380 total_loss: 3.467 loss_box2d_reg: 0.2332 loss_box3d_depth: 1.012 loss_box3d_proj_ctr: 0.196 loss_box3d_quat: 0.4515 loss_box3d_size: 0.1154 loss_centerness: 0.626 loss_cls: 0.1994 loss_conf3d: 0.6368 lr: 0.002 max_mem: 5634M
[03/18 09:35:35 d2.utils.events]: eta: 4:54:38 iter: 5400 total_loss: 3.322 loss_box2d_reg: 0.2304 loss_box3d_depth: 0.939 loss_box3d_proj_ctr: 0.1874 loss_box3d_quat: 0.4511 loss_box3d_size: 0.1166 loss_centerness: 0.6259 loss_cls: 0.1971 loss_conf3d: 0.6273 lr: 0.002 max_mem: 5634M
[03/18 09:35:53 d2.utils.events]: eta: 4:47:54 iter: 5420 total_loss: 3.392 loss_box2d_reg: 0.2359 loss_box3d_depth: 0.9372 loss_box3d_proj_ctr: 0.1961 loss_box3d_quat: 0.4504 loss_box3d_size: 0.1154 loss_centerness: 0.6274 loss_cls: 0.2008 loss_conf3d: 0.6284 lr: 0.002 max_mem: 5634M
[03/18 09:36:12 d2.utils.events]: eta: 5:03:15 iter: 5440 total_loss: 3.312 loss_box2d_reg: 0.2296 loss_box3d_depth: 0.9173 loss_box3d_proj_ctr: 0.1835 loss_box3d_quat: 0.4387 loss_box3d_size: 0.1153 loss_centerness: 0.6265 loss_cls: 0.1967 loss_conf3d: 0.6269 lr: 0.002 max_mem: 5634M
[03/18 09:36:29 d2.utils.events]: eta: 4:51:18 iter: 5460 total_loss: 3.234 loss_box2d_reg: 0.2276 loss_box3d_depth: 0.8663 loss_box3d_proj_ctr: 0.1826 loss_box3d_quat: 0.4129 loss_box3d_size: 0.1106 loss_centerness: 0.6275 loss_cls: 0.1967 loss_conf3d: 0.6213 lr: 0.002 max_mem: 5634M
[03/18 09:36:47 d2.utils.events]: eta: 4:42:29 iter: 5480 total_loss: 3.402 loss_box2d_reg: 0.2293 loss_box3d_depth: 0.9712 loss_box3d_proj_ctr: 0.1919 loss_box3d_quat: 0.4375 loss_box3d_size: 0.1138 loss_centerness: 0.627 loss_cls: 0.1949 loss_conf3d: 0.6257 lr: 0.002 max_mem: 5634M
[03/18 09:37:06 d2.utils.events]: eta: 5:10:06 iter: 5500 total_loss: 3.34 loss_box2d_reg: 0.229 loss_box3d_depth: 0.9233 loss_box3d_proj_ctr: 0.1951 loss_box3d_quat: 0.4464 loss_box3d_size: 0.1141 loss_centerness: 0.6269 loss_cls: 0.194 loss_conf3d: 0.6244 lr: 0.002 max_mem: 5634M
[03/18 09:37:24 d2.utils.events]: eta: 4:56:23 iter: 5520 total_loss: 3.361 loss_box2d_reg: 0.2301 loss_box3d_depth: 0.9015 loss_box3d_proj_ctr: 0.1848 loss_box3d_quat: 0.4356 loss_box3d_size: 0.1142 loss_centerness: 0.6263 loss_cls: 0.1975 loss_conf3d: 0.6249 lr: 0.002 max_mem: 5634M
[03/18 09:37:42 d2.utils.events]: eta: 4:45:57 iter: 5540 total_loss: 3.378 loss_box2d_reg: 0.2301 loss_box3d_depth: 0.9108 loss_box3d_proj_ctr: 0.1873 loss_box3d_quat: 0.4456 loss_box3d_size: 0.1156 loss_centerness: 0.6265 loss_cls: 0.1959 loss_conf3d: 0.6199 lr: 0.002 max_mem: 5634M
[03/18 09:38:01 d2.utils.events]: eta: 5:06:33 iter: 5560 total_loss: 3.434 loss_box2d_reg: 0.2299 loss_box3d_depth: 1.067 loss_box3d_proj_ctr: 0.1838 loss_box3d_quat: 0.4366 loss_box3d_size: 0.113 loss_centerness: 0.6259 loss_cls: 0.1912 loss_conf3d: 0.6458 lr: 0.002 max_mem: 5634M
[03/18 09:38:19 d2.utils.events]: eta: 4:57:15 iter: 5580 total_loss: 3.423 loss_box2d_reg: 0.2246 loss_box3d_depth: 0.9896 loss_box3d_proj_ctr: 0.1891 loss_box3d_quat: 0.4211 loss_box3d_size: 0.1141 loss_centerness: 0.6267 loss_cls: 0.1952 loss_conf3d: 0.6334 lr: 0.002 max_mem: 5634M
[03/18 09:38:37 d2.utils.events]: eta: 4:42:38 iter: 5600 total_loss: 3.357 loss_box2d_reg: 0.2241 loss_box3d_depth: 0.9671 loss_box3d_proj_ctr: 0.1861 loss_box3d_quat: 0.4054 loss_box3d_size: 0.1149 loss_centerness: 0.626 loss_cls: 0.192 loss_conf3d: 0.6322 lr: 0.002 max_mem: 5634M
[03/18 09:38:54 d2.utils.events]: eta: 4:48:30 iter: 5620 total_loss: 3.367 loss_box2d_reg: 0.2268 loss_box3d_depth: 0.9657 loss_box3d_proj_ctr: 0.1868 loss_box3d_quat: 0.4297 loss_box3d_size: 0.1136 loss_centerness: 0.6266 loss_cls: 0.1944 loss_conf3d: 0.6295 lr: 0.002 max_mem: 5634M
[03/18 09:39:13 d2.utils.events]: eta: 4:52:21 iter: 5640 total_loss: 3.383 loss_box2d_reg: 0.2258 loss_box3d_depth: 0.9606 loss_box3d_proj_ctr: 0.1833 loss_box3d_quat: 0.4152 loss_box3d_size: 0.1118 loss_centerness: 0.6271 loss_cls: 0.192 loss_conf3d: 0.6363 lr: 0.002 max_mem: 5634M
[03/18 09:39:31 d2.utils.events]: eta: 4:49:58 iter: 5660 total_loss: 3.273 loss_box2d_reg: 0.2248 loss_box3d_depth: 0.9161 loss_box3d_proj_ctr: 0.176 loss_box3d_quat: 0.4048 loss_box3d_size: 0.1171 loss_centerness: 0.6248 loss_cls: 0.1909 loss_conf3d: 0.632 lr: 0.002 max_mem: 5634M
[03/18 09:39:49 d2.utils.events]: eta: 4:49:13 iter: 5680 total_loss: 3.386 loss_box2d_reg: 0.2243 loss_box3d_depth: 1.004 loss_box3d_proj_ctr: 0.1846 loss_box3d_quat: 0.3864 loss_box3d_size: 0.1131 loss_centerness: 0.627 loss_cls: 0.1916 loss_conf3d: 0.6461 lr: 0.002 max_mem: 5634M
[03/18 09:40:06 d2.utils.events]: eta: 4:42:50 iter: 5700 total_loss: 3.298 loss_box2d_reg: 0.2252 loss_box3d_depth: 0.9389 loss_box3d_proj_ctr: 0.1839 loss_box3d_quat: 0.3716 loss_box3d_size: 0.1153 loss_centerness: 0.625 loss_cls: 0.1909 loss_conf3d: 0.6378 lr: 0.002 max_mem: 5634M
[03/18 09:40:23 d2.utils.events]: eta: 4:38:02 iter: 5720 total_loss: 3.266 loss_box2d_reg: 0.2271 loss_box3d_depth: 0.9211 loss_box3d_proj_ctr: 0.1752 loss_box3d_quat: 0.3619 loss_box3d_size: 0.1125 loss_centerness: 0.6261 loss_cls: 0.192 loss_conf3d: 0.6372 lr: 0.002 max_mem: 5634M
[03/18 09:40:42 d2.utils.events]: eta: 4:54:06 iter: 5740 total_loss: 3.372 loss_box2d_reg: 0.2266 loss_box3d_depth: 0.9844 loss_box3d_proj_ctr: 0.1801 loss_box3d_quat: 0.3529 loss_box3d_size: 0.1147 loss_centerness: 0.6248 loss_cls: 0.197 loss_conf3d: 0.6378 lr: 0.002 max_mem: 5634M
[03/18 09:41:00 d2.utils.events]: eta: 4:55:59 iter: 5760 total_loss: 3.228 loss_box2d_reg: 0.2208 loss_box3d_depth: 0.9307 loss_box3d_proj_ctr: 0.1742 loss_box3d_quat: 0.351 loss_box3d_size: 0.1097 loss_centerness: 0.6253 loss_cls: 0.1901 loss_conf3d: 0.6403 lr: 0.002 max_mem: 5634M
[03/18 09:41:18 d2.utils.events]: eta: 4:39:25 iter: 5780 total_loss: 3.395 loss_box2d_reg: 0.226 loss_box3d_depth: 1.032 loss_box3d_proj_ctr: 0.182 loss_box3d_quat: 0.377 loss_box3d_size: 0.1163 loss_centerness: 0.626 loss_cls: 0.1939 loss_conf3d: 0.648 lr: 0.002 max_mem: 5634M
[03/18 09:41:36 d2.utils.events]: eta: 4:53:47 iter: 5800 total_loss: 3.468 loss_box2d_reg: 0.2279 loss_box3d_depth: 1.104 loss_box3d_proj_ctr: 0.1868 loss_box3d_quat: 0.3775 loss_box3d_size: 0.1142 loss_centerness: 0.6256 loss_cls: 0.201 loss_conf3d: 0.6479 lr: 0.002 max_mem: 5634M
[03/18 09:41:54 d2.utils.events]: eta: 4:50:07 iter: 5820 total_loss: 3.265 loss_box2d_reg: 0.222 loss_box3d_depth: 0.9621 loss_box3d_proj_ctr: 0.1725 loss_box3d_quat: 0.3559 loss_box3d_size: 0.1156 loss_centerness: 0.6261 loss_cls: 0.1884 loss_conf3d: 0.6378 lr: 0.002 max_mem: 5634M
[03/18 09:42:12 d2.utils.events]: eta: 4:47:16 iter: 5840 total_loss: 3.265 loss_box2d_reg: 0.2266 loss_box3d_depth: 0.9345 loss_box3d_proj_ctr: 0.1898 loss_box3d_quat: 0.3609 loss_box3d_size: 0.1163 loss_centerness: 0.6262 loss_cls: 0.1929 loss_conf3d: 0.6374 lr: 0.002 max_mem: 5634M
[03/18 09:42:30 d2.utils.events]: eta: 4:48:54 iter: 5860 total_loss: 3.249 loss_box2d_reg: 0.2253 loss_box3d_depth: 0.8902 loss_box3d_proj_ctr: 0.186 loss_box3d_quat: 0.3721 loss_box3d_size: 0.1134 loss_centerness: 0.6259 loss_cls: 0.1918 loss_conf3d: 0.6295 lr: 0.002 max_mem: 5634M
[03/18 09:42:49 d2.utils.events]: eta: 4:51:40 iter: 5880 total_loss: 3.148 loss_box2d_reg: 0.2228 loss_box3d_depth: 0.8563 loss_box3d_proj_ctr: 0.1777 loss_box3d_quat: 0.3491 loss_box3d_size: 0.1115 loss_centerness: 0.6249 loss_cls: 0.1878 loss_conf3d: 0.6284 lr: 0.002 max_mem: 5634M
[03/18 09:43:07 d2.utils.events]: eta: 4:55:13 iter: 5900 total_loss: 3.108 loss_box2d_reg: 0.2202 loss_box3d_depth: 0.8122 loss_box3d_proj_ctr: 0.1763 loss_box3d_quat: 0.3354 loss_box3d_size: 0.1095 loss_centerness: 0.6245 loss_cls: 0.1879 loss_conf3d: 0.6259 lr: 0.002 max_mem: 5634M
[03/18 09:43:25 d2.utils.events]: eta: 4:41:43 iter: 5920 total_loss: 3.167 loss_box2d_reg: 0.2216 loss_box3d_depth: 0.8788 loss_box3d_proj_ctr: 0.1801 loss_box3d_quat: 0.3331 loss_box3d_size: 0.1116 loss_centerness: 0.6262 loss_cls: 0.1885 loss_conf3d: 0.6338 lr: 0.002 max_mem: 5634M
[03/18 09:43:43 d2.utils.events]: eta: 4:43:36 iter: 5940 total_loss: 3.225 loss_box2d_reg: 0.2217 loss_box3d_depth: 0.8955 loss_box3d_proj_ctr: 0.1757 loss_box3d_quat: 0.3523 loss_box3d_size: 0.1121 loss_centerness: 0.6259 loss_cls: 0.1894 loss_conf3d: 0.6313 lr: 0.002 max_mem: 5634M
[03/18 09:44:00 d2.utils.events]: eta: 4:39:44 iter: 5960 total_loss: 3.181 loss_box2d_reg: 0.2222 loss_box3d_depth: 0.8737 loss_box3d_proj_ctr: 0.1697 loss_box3d_quat: 0.3443 loss_box3d_size: 0.1121 loss_centerness: 0.6253 loss_cls: 0.1877 loss_conf3d: 0.6282 lr: 0.002 max_mem: 5634M
[03/18 09:44:19 d2.utils.events]: eta: 4:56:02 iter: 5980 total_loss: 3.25 loss_box2d_reg: 0.2218 loss_box3d_depth: 0.9571 loss_box3d_proj_ctr: 0.1707 loss_box3d_quat: 0.3453 loss_box3d_size: 0.111 loss_centerness: 0.6255 loss_cls: 0.1904 loss_conf3d: 0.6372 lr: 0.002 max_mem: 5634M
[03/18 09:44:37 d2.utils.events]: eta: 4:51:49 iter: 6000 total_loss: 3.212 loss_box2d_reg: 0.2212 loss_box3d_depth: 0.913 loss_box3d_proj_ctr: 0.1717 loss_box3d_quat: 0.3472 loss_box3d_size: 0.1117 loss_centerness: 0.6248 loss_cls: 0.1893 loss_conf3d: 0.6294 lr: 0.002 max_mem: 5634M
[03/18 09:44:43 fvcore.common.checkpoint]: Saving checkpoint to ./model_0005999.pth
[03/18 09:44:43 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 09:44:43 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 09:44:44 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 09:44:44 tridet.data.build]: Using test sampler InferenceSampler
[03/18 09:44:44 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 09:45:01 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 0.3173 s/iter. Eval: 1.0703 s/iter. Total: 1.3884 s/iter. ETA=0:00:51
[03/18 09:45:07 d2.evaluation.evaluator]: Inference done 15/48. Dataloading: 0.0009 s/iter. Inference: 0.3097 s/iter. Eval: 1.0484 s/iter. Total: 1.3591 s/iter. ETA=0:00:44
[03/18 09:45:12 d2.evaluation.evaluator]: Inference done 19/48. Dataloading: 0.0010 s/iter. Inference: 0.3097 s/iter. Eval: 1.0600 s/iter. Total: 1.3709 s/iter. ETA=0:00:39
[03/18 09:45:17 d2.evaluation.evaluator]: Inference done 23/48. Dataloading: 0.0010 s/iter. Inference: 0.3100 s/iter. Eval: 1.0468 s/iter. Total: 1.3579 s/iter. ETA=0:00:33
[03/18 09:45:23 d2.evaluation.evaluator]: Inference done 27/48. Dataloading: 0.0010 s/iter. Inference: 0.3101 s/iter. Eval: 1.0417 s/iter. Total: 1.3529 s/iter. ETA=0:00:28
[03/18 09:45:28 d2.evaluation.evaluator]: Inference done 31/48. Dataloading: 0.0010 s/iter. Inference: 0.3092 s/iter. Eval: 1.0414 s/iter. Total: 1.3518 s/iter. ETA=0:00:22
[03/18 09:45:34 d2.evaluation.evaluator]: Inference done 35/48. Dataloading: 0.0010 s/iter. Inference: 0.3087 s/iter. Eval: 1.0473 s/iter. Total: 1.3572 s/iter. ETA=0:00:17
[03/18 09:45:39 d2.evaluation.evaluator]: Inference done 39/48. Dataloading: 0.0010 s/iter. Inference: 0.3067 s/iter. Eval: 1.0600 s/iter. Total: 1.3678 s/iter. ETA=0:00:12
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 09:45:44 d2.evaluation.evaluator]: Inference done 43/48. Dataloading: 0.0010 s/iter. Inference: 0.3055 s/iter. Eval: 1.0490 s/iter. Total: 1.3556 s/iter. ETA=0:00:06
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 09:45:50 d2.evaluation.evaluator]: Inference done 48/48. Dataloading: 0.0010 s/iter. Inference: 0.2992 s/iter. Eval: 1.0178 s/iter. Total: 1.3181 s/iter. ETA=0:00:00
[03/18 09:45:50 d2.evaluation.evaluator]: Total inference time: 0:00:56.826865 (1.321555 s / iter per device, on 8 devices)
[03/18 09:45:50 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:12 (0.299197 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 09:45:53 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 09:45:53 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0006000/kitti_3d_val/coco_instances_results.json
[03/18 09:45:54 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.95s)
creating index...
index created!
[03/18 09:45:55 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 09:45:58 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 2.84 seconds.
[03/18 09:45:58 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 09:45:59 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.91 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.125
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.258
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.108
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.102
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.127
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.182
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.135
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.300
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.344
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.183
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.335
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.495
[03/18 09:45:59 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
12.487 25.770 10.757 10.186 12.742 18.249
[03/18 09:45:59 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 38.195 Pedestrian 12.989 Cyclist 1.589
Van 6.069 Truck 3.594
[03/18 09:46:49 tridet]: Running prediction visualizer: d2_visualizer
[03/18 09:46:51 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 5.65it/s][03/18 09:46:55 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.46it/s][03/18 09:47:13 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 09:47:13 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 12.4874
kitti_3d_val/bbox/AP50 25.77
kitti_3d_val/bbox/AP75 10.7565
kitti_3d_val/bbox/APs 10.186
kitti_3d_val/bbox/APm 12.7417
kitti_3d_val/bbox/APl 18.2485
kitti_3d_val/bbox/AP-Car 38.1954
kitti_3d_val/bbox/AP-Pedestrian 12.9892
kitti_3d_val/bbox/AP-Cyclist 1.58878
kitti_3d_val/bbox/AP-Van 6.06945
kitti_3d_val/bbox/AP-Truck 3.59424
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 17.9094
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 1.39917
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 12.5128
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 0.999236
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 11.1522
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 0.818821
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.531879
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.374168
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.272619
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0295226
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0.0183926
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0.0110359
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 1.62936
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.897026
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.539407
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 0.23301
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.0172198
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.0114276
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 23.0251
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 4.16548
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 16.4338
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 2.58309
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 14.8111
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 2.19935
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 1.04655
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.957235
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.706762
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0683279
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.0429634
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.037949
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 3.08831
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.0387359
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 1.82805
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.0733079
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.06552
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0749741
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 1.06472
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0.0291715
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.106564
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.109723
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 09:47:31 d2.utils.events]: eta: 1 day, 21:47:02 iter: 6020 total_loss: 3.14 loss_box2d_reg: 0.2225 loss_box3d_depth: 0.8405 loss_box3d_proj_ctr: 0.1863 loss_box3d_quat: 0.3434 loss_box3d_size: 0.116 loss_centerness: 0.6253 loss_cls: 0.1853 loss_conf3d: 0.6244 lr: 0.002 max_mem: 5634M
[03/18 09:47:50 d2.utils.events]: eta: 4:54:14 iter: 6040 total_loss: 3.134 loss_box2d_reg: 0.2193 loss_box3d_depth: 0.8431 loss_box3d_proj_ctr: 0.1756 loss_box3d_quat: 0.3424 loss_box3d_size: 0.1148 loss_centerness: 0.6259 loss_cls: 0.1874 loss_conf3d: 0.628 lr: 0.002 max_mem: 5634M
[03/18 09:48:08 d2.utils.events]: eta: 4:47:05 iter: 6060 total_loss: 3.289 loss_box2d_reg: 0.2218 loss_box3d_depth: 0.9785 loss_box3d_proj_ctr: 0.1741 loss_box3d_quat: 0.3393 loss_box3d_size: 0.111 loss_centerness: 0.6252 loss_cls: 0.1884 loss_conf3d: 0.6421 lr: 0.002 max_mem: 5634M
[03/18 09:48:26 d2.utils.events]: eta: 4:42:36 iter: 6080 total_loss: 3.278 loss_box2d_reg: 0.2218 loss_box3d_depth: 0.9379 loss_box3d_proj_ctr: 0.1747 loss_box3d_quat: 0.3452 loss_box3d_size: 0.1159 loss_centerness: 0.6254 loss_cls: 0.1838 loss_conf3d: 0.6334 lr: 0.002 max_mem: 5634M
[03/18 09:48:44 d2.utils.events]: eta: 4:43:13 iter: 6100 total_loss: 3.275 loss_box2d_reg: 0.2213 loss_box3d_depth: 1.004 loss_box3d_proj_ctr: 0.1743 loss_box3d_quat: 0.3348 loss_box3d_size: 0.1103 loss_centerness: 0.625 loss_cls: 0.1839 loss_conf3d: 0.6318 lr: 0.002 max_mem: 5634M
[03/18 09:49:03 d2.utils.events]: eta: 5:00:52 iter: 6120 total_loss: 3.262 loss_box2d_reg: 0.2185 loss_box3d_depth: 0.9664 loss_box3d_proj_ctr: 0.1762 loss_box3d_quat: 0.3391 loss_box3d_size: 0.1129 loss_centerness: 0.6252 loss_cls: 0.1872 loss_conf3d: 0.6359 lr: 0.002 max_mem: 5634M
[03/18 09:49:21 d2.utils.events]: eta: 4:38:20 iter: 6140 total_loss: 3.103 loss_box2d_reg: 0.2181 loss_box3d_depth: 0.8623 loss_box3d_proj_ctr: 0.1741 loss_box3d_quat: 0.3143 loss_box3d_size: 0.1101 loss_centerness: 0.6245 loss_cls: 0.184 loss_conf3d: 0.6239 lr: 0.002 max_mem: 5634M
[03/18 09:49:39 d2.utils.events]: eta: 4:51:44 iter: 6160 total_loss: 3.123 loss_box2d_reg: 0.2199 loss_box3d_depth: 0.8399 loss_box3d_proj_ctr: 0.1694 loss_box3d_quat: 0.3296 loss_box3d_size: 0.1082 loss_centerness: 0.6246 loss_cls: 0.1837 loss_conf3d: 0.6219 lr: 0.002 max_mem: 5634M
[03/18 09:49:58 d2.utils.events]: eta: 4:46:05 iter: 6180 total_loss: 3.108 loss_box2d_reg: 0.2234 loss_box3d_depth: 0.8086 loss_box3d_proj_ctr: 0.1722 loss_box3d_quat: 0.3356 loss_box3d_size: 0.1108 loss_centerness: 0.6267 loss_cls: 0.1873 loss_conf3d: 0.6217 lr: 0.002 max_mem: 5634M
[03/18 09:50:15 d2.utils.events]: eta: 4:36:08 iter: 6200 total_loss: 3.149 loss_box2d_reg: 0.2191 loss_box3d_depth: 0.8839 loss_box3d_proj_ctr: 0.1723 loss_box3d_quat: 0.3123 loss_box3d_size: 0.1101 loss_centerness: 0.6246 loss_cls: 0.1842 loss_conf3d: 0.6273 lr: 0.002 max_mem: 5634M
[03/18 09:50:34 d2.utils.events]: eta: 4:58:09 iter: 6220 total_loss: 3.188 loss_box2d_reg: 0.2169 loss_box3d_depth: 0.9324 loss_box3d_proj_ctr: 0.1728 loss_box3d_quat: 0.3146 loss_box3d_size: 0.1077 loss_centerness: 0.6248 loss_cls: 0.1819 loss_conf3d: 0.6288 lr: 0.002 max_mem: 5634M
[03/18 09:50:52 d2.utils.events]: eta: 4:32:23 iter: 6240 total_loss: 3.295 loss_box2d_reg: 0.2171 loss_box3d_depth: 0.9621 loss_box3d_proj_ctr: 0.1666 loss_box3d_quat: 0.3237 loss_box3d_size: 0.1128 loss_centerness: 0.6238 loss_cls: 0.184 loss_conf3d: 0.6399 lr: 0.002 max_mem: 5634M
[03/18 09:51:10 d2.utils.events]: eta: 4:47:30 iter: 6260 total_loss: 3.113 loss_box2d_reg: 0.2177 loss_box3d_depth: 0.853 loss_box3d_proj_ctr: 0.1731 loss_box3d_quat: 0.3308 loss_box3d_size: 0.1116 loss_centerness: 0.6246 loss_cls: 0.1819 loss_conf3d: 0.6254 lr: 0.002 max_mem: 5634M
[03/18 09:51:28 d2.utils.events]: eta: 4:43:11 iter: 6280 total_loss: 3.159 loss_box2d_reg: 0.2206 loss_box3d_depth: 0.923 loss_box3d_proj_ctr: 0.1715 loss_box3d_quat: 0.3094 loss_box3d_size: 0.1096 loss_centerness: 0.6249 loss_cls: 0.1838 loss_conf3d: 0.6379 lr: 0.002 max_mem: 5634M
[03/18 09:51:47 d2.utils.events]: eta: 4:46:26 iter: 6300 total_loss: 3.232 loss_box2d_reg: 0.2176 loss_box3d_depth: 0.9515 loss_box3d_proj_ctr: 0.1739 loss_box3d_quat: 0.323 loss_box3d_size: 0.113 loss_centerness: 0.6245 loss_cls: 0.1804 loss_conf3d: 0.6346 lr: 0.002 max_mem: 5634M
[03/18 09:52:05 d2.utils.events]: eta: 4:42:39 iter: 6320 total_loss: 3.165 loss_box2d_reg: 0.2158 loss_box3d_depth: 0.8986 loss_box3d_proj_ctr: 0.1737 loss_box3d_quat: 0.3279 loss_box3d_size: 0.1088 loss_centerness: 0.6243 loss_cls: 0.18 loss_conf3d: 0.6282 lr: 0.002 max_mem: 5634M
[03/18 09:52:23 d2.utils.events]: eta: 4:47:41 iter: 6340 total_loss: 3.166 loss_box2d_reg: 0.2167 loss_box3d_depth: 0.8825 loss_box3d_proj_ctr: 0.1677 loss_box3d_quat: 0.3402 loss_box3d_size: 0.1123 loss_centerness: 0.6242 loss_cls: 0.1828 loss_conf3d: 0.6304 lr: 0.002 max_mem: 5634M
[03/18 09:52:41 d2.utils.events]: eta: 4:31:53 iter: 6360 total_loss: 3.233 loss_box2d_reg: 0.2171 loss_box3d_depth: 0.9496 loss_box3d_proj_ctr: 0.1673 loss_box3d_quat: 0.3365 loss_box3d_size: 0.11 loss_centerness: 0.6253 loss_cls: 0.1796 loss_conf3d: 0.6338 lr: 0.002 max_mem: 5634M
[03/18 09:52:59 d2.utils.events]: eta: 4:43:49 iter: 6380 total_loss: 3.242 loss_box2d_reg: 0.2235 loss_box3d_depth: 0.9899 loss_box3d_proj_ctr: 0.1678 loss_box3d_quat: 0.3338 loss_box3d_size: 0.1082 loss_centerness: 0.6254 loss_cls: 0.1845 loss_conf3d: 0.6331 lr: 0.002 max_mem: 5634M
[03/18 09:53:18 d2.utils.events]: eta: 4:56:34 iter: 6400 total_loss: 3.188 loss_box2d_reg: 0.2175 loss_box3d_depth: 0.8925 loss_box3d_proj_ctr: 0.171 loss_box3d_quat: 0.326 loss_box3d_size: 0.1107 loss_centerness: 0.6234 loss_cls: 0.1818 loss_conf3d: 0.6285 lr: 0.002 max_mem: 5634M
[03/18 09:53:37 d2.utils.events]: eta: 4:44:35 iter: 6420 total_loss: 3.196 loss_box2d_reg: 0.2162 loss_box3d_depth: 0.9446 loss_box3d_proj_ctr: 0.1643 loss_box3d_quat: 0.3099 loss_box3d_size: 0.1114 loss_centerness: 0.6246 loss_cls: 0.1799 loss_conf3d: 0.6408 lr: 0.002 max_mem: 5634M
[03/18 09:53:54 d2.utils.events]: eta: 4:35:42 iter: 6440 total_loss: 3.137 loss_box2d_reg: 0.2206 loss_box3d_depth: 0.9068 loss_box3d_proj_ctr: 0.1725 loss_box3d_quat: 0.3031 loss_box3d_size: 0.1082 loss_centerness: 0.6261 loss_cls: 0.1828 loss_conf3d: 0.631 lr: 0.002 max_mem: 5634M
[03/18 09:54:13 d2.utils.events]: eta: 4:48:08 iter: 6460 total_loss: 3.142 loss_box2d_reg: 0.2164 loss_box3d_depth: 0.8799 loss_box3d_proj_ctr: 0.1617 loss_box3d_quat: 0.3363 loss_box3d_size: 0.112 loss_centerness: 0.6253 loss_cls: 0.184 loss_conf3d: 0.631 lr: 0.002 max_mem: 5634M
[03/18 09:54:32 d2.utils.events]: eta: 4:54:20 iter: 6480 total_loss: 3.032 loss_box2d_reg: 0.2138 loss_box3d_depth: 0.8181 loss_box3d_proj_ctr: 0.1633 loss_box3d_quat: 0.2958 loss_box3d_size: 0.1103 loss_centerness: 0.6247 loss_cls: 0.1781 loss_conf3d: 0.6237 lr: 0.002 max_mem: 5634M
[03/18 09:54:51 d2.utils.events]: eta: 4:49:48 iter: 6500 total_loss: 3.046 loss_box2d_reg: 0.2175 loss_box3d_depth: 0.8218 loss_box3d_proj_ctr: 0.1736 loss_box3d_quat: 0.3239 loss_box3d_size: 0.1096 loss_centerness: 0.6242 loss_cls: 0.1814 loss_conf3d: 0.6189 lr: 0.002 max_mem: 5634M
[03/18 09:55:11 d2.utils.events]: eta: 5:03:52 iter: 6520 total_loss: 3.014 loss_box2d_reg: 0.2132 loss_box3d_depth: 0.8223 loss_box3d_proj_ctr: 0.1724 loss_box3d_quat: 0.3123 loss_box3d_size: 0.1119 loss_centerness: 0.6231 loss_cls: 0.181 loss_conf3d: 0.6151 lr: 0.002 max_mem: 5634M
[03/18 09:55:30 d2.utils.events]: eta: 4:51:13 iter: 6540 total_loss: 3.003 loss_box2d_reg: 0.2145 loss_box3d_depth: 0.7836 loss_box3d_proj_ctr: 0.1628 loss_box3d_quat: 0.3093 loss_box3d_size: 0.1071 loss_centerness: 0.6244 loss_cls: 0.1796 loss_conf3d: 0.613 lr: 0.002 max_mem: 5634M
[03/18 09:55:48 d2.utils.events]: eta: 4:45:26 iter: 6560 total_loss: 3.089 loss_box2d_reg: 0.2148 loss_box3d_depth: 0.8757 loss_box3d_proj_ctr: 0.1647 loss_box3d_quat: 0.3042 loss_box3d_size: 0.1094 loss_centerness: 0.6251 loss_cls: 0.18 loss_conf3d: 0.6305 lr: 0.002 max_mem: 5634M
[03/18 09:56:07 d2.utils.events]: eta: 4:49:09 iter: 6580 total_loss: 3.155 loss_box2d_reg: 0.211 loss_box3d_depth: 0.9434 loss_box3d_proj_ctr: 0.1595 loss_box3d_quat: 0.2964 loss_box3d_size: 0.1125 loss_centerness: 0.6231 loss_cls: 0.1767 loss_conf3d: 0.6331 lr: 0.002 max_mem: 5634M
[03/18 09:56:26 d2.utils.events]: eta: 4:51:25 iter: 6600 total_loss: 3.335 loss_box2d_reg: 0.2154 loss_box3d_depth: 1.076 loss_box3d_proj_ctr: 0.1717 loss_box3d_quat: 0.3173 loss_box3d_size: 0.1092 loss_centerness: 0.6245 loss_cls: 0.1805 loss_conf3d: 0.6447 lr: 0.002 max_mem: 5634M
[03/18 09:56:46 d2.utils.events]: eta: 5:00:41 iter: 6620 total_loss: 3.208 loss_box2d_reg: 0.2186 loss_box3d_depth: 0.9305 loss_box3d_proj_ctr: 0.1659 loss_box3d_quat: 0.3509 loss_box3d_size: 0.1102 loss_centerness: 0.6253 loss_cls: 0.1832 loss_conf3d: 0.6371 lr: 0.002 max_mem: 5634M
[03/18 09:57:05 d2.utils.events]: eta: 5:02:52 iter: 6640 total_loss: 3.13 loss_box2d_reg: 0.2138 loss_box3d_depth: 0.8913 loss_box3d_proj_ctr: 0.1572 loss_box3d_quat: 0.3183 loss_box3d_size: 0.1088 loss_centerness: 0.6243 loss_cls: 0.1799 loss_conf3d: 0.6277 lr: 0.002 max_mem: 5634M
[03/18 09:57:25 d2.utils.events]: eta: 4:53:17 iter: 6660 total_loss: 3.091 loss_box2d_reg: 0.2141 loss_box3d_depth: 0.8558 loss_box3d_proj_ctr: 0.1612 loss_box3d_quat: 0.3022 loss_box3d_size: 0.1072 loss_centerness: 0.625 loss_cls: 0.1771 loss_conf3d: 0.6257 lr: 0.002 max_mem: 5634M
[03/18 09:57:43 d2.utils.events]: eta: 4:46:43 iter: 6680 total_loss: 3.03 loss_box2d_reg: 0.2133 loss_box3d_depth: 0.8315 loss_box3d_proj_ctr: 0.1651 loss_box3d_quat: 0.3001 loss_box3d_size: 0.1115 loss_centerness: 0.6237 loss_cls: 0.178 loss_conf3d: 0.6143 lr: 0.002 max_mem: 5634M
[03/18 09:58:03 d2.utils.events]: eta: 4:51:45 iter: 6700 total_loss: 3.066 loss_box2d_reg: 0.2159 loss_box3d_depth: 0.8444 loss_box3d_proj_ctr: 0.1665 loss_box3d_quat: 0.3014 loss_box3d_size: 0.1091 loss_centerness: 0.624 loss_cls: 0.1816 loss_conf3d: 0.6171 lr: 0.002 max_mem: 5634M
[03/18 09:58:22 d2.utils.events]: eta: 4:53:06 iter: 6720 total_loss: 3.035 loss_box2d_reg: 0.2121 loss_box3d_depth: 0.8338 loss_box3d_proj_ctr: 0.1606 loss_box3d_quat: 0.3176 loss_box3d_size: 0.1083 loss_centerness: 0.6237 loss_cls: 0.1776 loss_conf3d: 0.618 lr: 0.002 max_mem: 5634M
[03/18 09:58:40 d2.utils.events]: eta: 4:39:48 iter: 6740 total_loss: 3.075 loss_box2d_reg: 0.2143 loss_box3d_depth: 0.8343 loss_box3d_proj_ctr: 0.1636 loss_box3d_quat: 0.3064 loss_box3d_size: 0.1089 loss_centerness: 0.6243 loss_cls: 0.1756 loss_conf3d: 0.6171 lr: 0.002 max_mem: 5634M
[03/18 09:58:59 d2.utils.events]: eta: 4:52:18 iter: 6760 total_loss: 3.068 loss_box2d_reg: 0.2156 loss_box3d_depth: 0.8383 loss_box3d_proj_ctr: 0.1658 loss_box3d_quat: 0.3112 loss_box3d_size: 0.1129 loss_centerness: 0.6245 loss_cls: 0.1746 loss_conf3d: 0.6252 lr: 0.002 max_mem: 5634M
[03/18 09:59:18 d2.utils.events]: eta: 4:50:09 iter: 6780 total_loss: 3.033 loss_box2d_reg: 0.2152 loss_box3d_depth: 0.8361 loss_box3d_proj_ctr: 0.1676 loss_box3d_quat: 0.2895 loss_box3d_size: 0.11 loss_centerness: 0.6242 loss_cls: 0.1742 loss_conf3d: 0.6196 lr: 0.002 max_mem: 5634M
[03/18 09:59:37 d2.utils.events]: eta: 4:35:02 iter: 6800 total_loss: 3.179 loss_box2d_reg: 0.2133 loss_box3d_depth: 0.9331 loss_box3d_proj_ctr: 0.16 loss_box3d_quat: 0.2847 loss_box3d_size: 0.1061 loss_centerness: 0.6238 loss_cls: 0.1735 loss_conf3d: 0.6338 lr: 0.002 max_mem: 5634M
[03/18 09:59:55 d2.utils.events]: eta: 4:43:26 iter: 6820 total_loss: 3.013 loss_box2d_reg: 0.2102 loss_box3d_depth: 0.8186 loss_box3d_proj_ctr: 0.1646 loss_box3d_quat: 0.2834 loss_box3d_size: 0.109 loss_centerness: 0.6238 loss_cls: 0.1742 loss_conf3d: 0.6238 lr: 0.002 max_mem: 5634M
[03/18 10:00:14 d2.utils.events]: eta: 4:40:05 iter: 6840 total_loss: 3.031 loss_box2d_reg: 0.2119 loss_box3d_depth: 0.8225 loss_box3d_proj_ctr: 0.1625 loss_box3d_quat: 0.307 loss_box3d_size: 0.1071 loss_centerness: 0.6251 loss_cls: 0.1734 loss_conf3d: 0.6163 lr: 0.002 max_mem: 5634M
[03/18 10:00:33 d2.utils.events]: eta: 4:48:45 iter: 6860 total_loss: 2.952 loss_box2d_reg: 0.2097 loss_box3d_depth: 0.7962 loss_box3d_proj_ctr: 0.1565 loss_box3d_quat: 0.2795 loss_box3d_size: 0.1081 loss_centerness: 0.6226 loss_cls: 0.171 loss_conf3d: 0.6105 lr: 0.002 max_mem: 5634M
[03/18 10:00:53 d2.utils.events]: eta: 4:56:29 iter: 6880 total_loss: 2.996 loss_box2d_reg: 0.2115 loss_box3d_depth: 0.8091 loss_box3d_proj_ctr: 0.1549 loss_box3d_quat: 0.2987 loss_box3d_size: 0.1063 loss_centerness: 0.6232 loss_cls: 0.1743 loss_conf3d: 0.6132 lr: 0.002 max_mem: 5634M
[03/18 10:01:12 d2.utils.events]: eta: 4:55:41 iter: 6900 total_loss: 3.017 loss_box2d_reg: 0.2091 loss_box3d_depth: 0.8268 loss_box3d_proj_ctr: 0.1659 loss_box3d_quat: 0.3077 loss_box3d_size: 0.1071 loss_centerness: 0.6232 loss_cls: 0.1732 loss_conf3d: 0.6122 lr: 0.002 max_mem: 5634M
[03/18 10:01:30 d2.utils.events]: eta: 4:30:06 iter: 6920 total_loss: 3.006 loss_box2d_reg: 0.2084 loss_box3d_depth: 0.8161 loss_box3d_proj_ctr: 0.1603 loss_box3d_quat: 0.2826 loss_box3d_size: 0.1069 loss_centerness: 0.6239 loss_cls: 0.173 loss_conf3d: 0.6169 lr: 0.002 max_mem: 5634M
[03/18 10:01:49 d2.utils.events]: eta: 4:42:13 iter: 6940 total_loss: 3.031 loss_box2d_reg: 0.2075 loss_box3d_depth: 0.8099 loss_box3d_proj_ctr: 0.1564 loss_box3d_quat: 0.2856 loss_box3d_size: 0.1067 loss_centerness: 0.6237 loss_cls: 0.1724 loss_conf3d: 0.6201 lr: 0.002 max_mem: 5634M
[03/18 10:02:08 d2.utils.events]: eta: 4:53:37 iter: 6960 total_loss: 2.99 loss_box2d_reg: 0.2068 loss_box3d_depth: 0.781 loss_box3d_proj_ctr: 0.1624 loss_box3d_quat: 0.2976 loss_box3d_size: 0.1057 loss_centerness: 0.6236 loss_cls: 0.1728 loss_conf3d: 0.6197 lr: 0.002 max_mem: 5634M
[03/18 10:02:27 d2.utils.events]: eta: 4:32:49 iter: 6980 total_loss: 2.939 loss_box2d_reg: 0.2107 loss_box3d_depth: 0.7551 loss_box3d_proj_ctr: 0.1598 loss_box3d_quat: 0.2938 loss_box3d_size: 0.1058 loss_centerness: 0.6233 loss_cls: 0.1739 loss_conf3d: 0.6144 lr: 0.002 max_mem: 5634M
[03/18 10:02:46 d2.utils.events]: eta: 4:49:27 iter: 7000 total_loss: 3.04 loss_box2d_reg: 0.2077 loss_box3d_depth: 0.8544 loss_box3d_proj_ctr: 0.1591 loss_box3d_quat: 0.2943 loss_box3d_size: 0.1054 loss_centerness: 0.6242 loss_cls: 0.1736 loss_conf3d: 0.6227 lr: 0.002 max_mem: 5634M
[03/18 10:03:10 d2.utils.events]: eta: 6:01:17 iter: 7020 total_loss: 3.136 loss_box2d_reg: 0.2118 loss_box3d_depth: 0.9366 loss_box3d_proj_ctr: 0.1625 loss_box3d_quat: 0.2928 loss_box3d_size: 0.1083 loss_centerness: 0.6236 loss_cls: 0.1753 loss_conf3d: 0.6369 lr: 0.002 max_mem: 5634M
[03/18 10:03:28 d2.utils.events]: eta: 4:36:53 iter: 7040 total_loss: 3.055 loss_box2d_reg: 0.2101 loss_box3d_depth: 0.8462 loss_box3d_proj_ctr: 0.1554 loss_box3d_quat: 0.2906 loss_box3d_size: 0.1113 loss_centerness: 0.6245 loss_cls: 0.1724 loss_conf3d: 0.6291 lr: 0.002 max_mem: 5634M
[03/18 10:03:47 d2.utils.events]: eta: 4:39:09 iter: 7060 total_loss: 3.001 loss_box2d_reg: 0.2134 loss_box3d_depth: 0.8298 loss_box3d_proj_ctr: 0.1587 loss_box3d_quat: 0.2819 loss_box3d_size: 0.1074 loss_centerness: 0.6235 loss_cls: 0.1682 loss_conf3d: 0.6152 lr: 0.002 max_mem: 5634M
[03/18 10:04:06 d2.utils.events]: eta: 4:41:31 iter: 7080 total_loss: 2.938 loss_box2d_reg: 0.2066 loss_box3d_depth: 0.7784 loss_box3d_proj_ctr: 0.1562 loss_box3d_quat: 0.2753 loss_box3d_size: 0.1039 loss_centerness: 0.6228 loss_cls: 0.1715 loss_conf3d: 0.6127 lr: 0.002 max_mem: 5634M
[03/18 10:04:25 d2.utils.events]: eta: 4:42:15 iter: 7100 total_loss: 2.991 loss_box2d_reg: 0.2097 loss_box3d_depth: 0.8375 loss_box3d_proj_ctr: 0.1587 loss_box3d_quat: 0.2794 loss_box3d_size: 0.1079 loss_centerness: 0.6232 loss_cls: 0.1675 loss_conf3d: 0.6224 lr: 0.002 max_mem: 5634M
[03/18 10:04:44 d2.utils.events]: eta: 4:51:24 iter: 7120 total_loss: 2.987 loss_box2d_reg: 0.2102 loss_box3d_depth: 0.813 loss_box3d_proj_ctr: 0.1553 loss_box3d_quat: 0.2898 loss_box3d_size: 0.1081 loss_centerness: 0.6227 loss_cls: 0.1714 loss_conf3d: 0.6132 lr: 0.002 max_mem: 5634M
[03/18 10:05:04 d2.utils.events]: eta: 4:46:24 iter: 7140 total_loss: 3.051 loss_box2d_reg: 0.2125 loss_box3d_depth: 0.869 loss_box3d_proj_ctr: 0.1544 loss_box3d_quat: 0.2783 loss_box3d_size: 0.1032 loss_centerness: 0.6236 loss_cls: 0.1717 loss_conf3d: 0.6259 lr: 0.002 max_mem: 5634M
[03/18 10:05:22 d2.utils.events]: eta: 4:31:38 iter: 7160 total_loss: 3.151 loss_box2d_reg: 0.2115 loss_box3d_depth: 0.9608 loss_box3d_proj_ctr: 0.1539 loss_box3d_quat: 0.3031 loss_box3d_size: 0.1033 loss_centerness: 0.6236 loss_cls: 0.168 loss_conf3d: 0.6402 lr: 0.002 max_mem: 5634M
[03/18 10:05:40 d2.utils.events]: eta: 4:33:34 iter: 7180 total_loss: 3.006 loss_box2d_reg: 0.2055 loss_box3d_depth: 0.8314 loss_box3d_proj_ctr: 0.154 loss_box3d_quat: 0.2854 loss_box3d_size: 0.1074 loss_centerness: 0.6227 loss_cls: 0.1667 loss_conf3d: 0.6211 lr: 0.002 max_mem: 5634M
[03/18 10:06:00 d2.utils.events]: eta: 4:49:46 iter: 7200 total_loss: 3.07 loss_box2d_reg: 0.2087 loss_box3d_depth: 0.8886 loss_box3d_proj_ctr: 0.1553 loss_box3d_quat: 0.2862 loss_box3d_size: 0.1076 loss_centerness: 0.6228 loss_cls: 0.1695 loss_conf3d: 0.6269 lr: 0.002 max_mem: 5634M
[03/18 10:06:18 d2.utils.events]: eta: 4:32:56 iter: 7220 total_loss: 3.014 loss_box2d_reg: 0.2116 loss_box3d_depth: 0.8332 loss_box3d_proj_ctr: 0.1568 loss_box3d_quat: 0.285 loss_box3d_size: 0.1086 loss_centerness: 0.6239 loss_cls: 0.1769 loss_conf3d: 0.6245 lr: 0.002 max_mem: 5634M
[03/18 10:06:37 d2.utils.events]: eta: 4:40:56 iter: 7240 total_loss: 2.936 loss_box2d_reg: 0.206 loss_box3d_depth: 0.7948 loss_box3d_proj_ctr: 0.1541 loss_box3d_quat: 0.2748 loss_box3d_size: 0.1074 loss_centerness: 0.6229 loss_cls: 0.1676 loss_conf3d: 0.6147 lr: 0.002 max_mem: 5634M
[03/18 10:06:56 d2.utils.events]: eta: 4:39:39 iter: 7260 total_loss: 2.911 loss_box2d_reg: 0.205 loss_box3d_depth: 0.7514 loss_box3d_proj_ctr: 0.1484 loss_box3d_quat: 0.2866 loss_box3d_size: 0.1028 loss_centerness: 0.6225 loss_cls: 0.1667 loss_conf3d: 0.6158 lr: 0.002 max_mem: 5634M
[03/18 10:07:14 d2.utils.events]: eta: 4:23:41 iter: 7280 total_loss: 2.934 loss_box2d_reg: 0.207 loss_box3d_depth: 0.7838 loss_box3d_proj_ctr: 0.157 loss_box3d_quat: 0.2756 loss_box3d_size: 0.108 loss_centerness: 0.6228 loss_cls: 0.1689 loss_conf3d: 0.613 lr: 0.002 max_mem: 5634M
[03/18 10:07:33 d2.utils.events]: eta: 4:37:58 iter: 7300 total_loss: 2.887 loss_box2d_reg: 0.2041 loss_box3d_depth: 0.7878 loss_box3d_proj_ctr: 0.1486 loss_box3d_quat: 0.2603 loss_box3d_size: 0.104 loss_centerness: 0.6227 loss_cls: 0.1634 loss_conf3d: 0.6112 lr: 0.002 max_mem: 5634M
[03/18 10:07:52 d2.utils.events]: eta: 4:34:51 iter: 7320 total_loss: 3.08 loss_box2d_reg: 0.2052 loss_box3d_depth: 0.8909 loss_box3d_proj_ctr: 0.1551 loss_box3d_quat: 0.2836 loss_box3d_size: 0.1057 loss_centerness: 0.624 loss_cls: 0.1652 loss_conf3d: 0.6282 lr: 0.002 max_mem: 5634M
[03/18 10:08:10 d2.utils.events]: eta: 4:36:03 iter: 7340 total_loss: 3.103 loss_box2d_reg: 0.2102 loss_box3d_depth: 0.9386 loss_box3d_proj_ctr: 0.1559 loss_box3d_quat: 0.2916 loss_box3d_size: 0.1061 loss_centerness: 0.6232 loss_cls: 0.1715 loss_conf3d: 0.6286 lr: 0.002 max_mem: 5634M
[03/18 10:08:30 d2.utils.events]: eta: 4:47:30 iter: 7360 total_loss: 2.966 loss_box2d_reg: 0.2111 loss_box3d_depth: 0.8124 loss_box3d_proj_ctr: 0.1533 loss_box3d_quat: 0.2891 loss_box3d_size: 0.1067 loss_centerness: 0.6225 loss_cls: 0.1705 loss_conf3d: 0.6185 lr: 0.002 max_mem: 5634M
[03/18 10:08:49 d2.utils.events]: eta: 4:42:36 iter: 7380 total_loss: 2.966 loss_box2d_reg: 0.2091 loss_box3d_depth: 0.8061 loss_box3d_proj_ctr: 0.1559 loss_box3d_quat: 0.2723 loss_box3d_size: 0.1058 loss_centerness: 0.6224 loss_cls: 0.1679 loss_conf3d: 0.6187 lr: 0.002 max_mem: 5634M
[03/18 10:09:07 d2.utils.events]: eta: 4:17:24 iter: 7400 total_loss: 2.917 loss_box2d_reg: 0.2058 loss_box3d_depth: 0.7761 loss_box3d_proj_ctr: 0.1502 loss_box3d_quat: 0.2802 loss_box3d_size: 0.1041 loss_centerness: 0.6228 loss_cls: 0.1642 loss_conf3d: 0.6107 lr: 0.002 max_mem: 5634M
[03/18 10:09:26 d2.utils.events]: eta: 4:40:01 iter: 7420 total_loss: 2.951 loss_box2d_reg: 0.2055 loss_box3d_depth: 0.7726 loss_box3d_proj_ctr: 0.1511 loss_box3d_quat: 0.2735 loss_box3d_size: 0.1059 loss_centerness: 0.6231 loss_cls: 0.1708 loss_conf3d: 0.6126 lr: 0.002 max_mem: 5634M
[03/18 10:09:45 d2.utils.events]: eta: 4:36:57 iter: 7440 total_loss: 2.856 loss_box2d_reg: 0.2041 loss_box3d_depth: 0.7508 loss_box3d_proj_ctr: 0.1486 loss_box3d_quat: 0.2639 loss_box3d_size: 0.1045 loss_centerness: 0.6219 loss_cls: 0.1691 loss_conf3d: 0.6062 lr: 0.002 max_mem: 5634M
[03/18 10:10:03 d2.utils.events]: eta: 4:28:22 iter: 7460 total_loss: 2.907 loss_box2d_reg: 0.2046 loss_box3d_depth: 0.7795 loss_box3d_proj_ctr: 0.152 loss_box3d_quat: 0.2523 loss_box3d_size: 0.1014 loss_centerness: 0.6222 loss_cls: 0.1644 loss_conf3d: 0.6118 lr: 0.002 max_mem: 5634M
[03/18 10:10:22 d2.utils.events]: eta: 4:39:15 iter: 7480 total_loss: 2.952 loss_box2d_reg: 0.2068 loss_box3d_depth: 0.7772 loss_box3d_proj_ctr: 0.1483 loss_box3d_quat: 0.2927 loss_box3d_size: 0.1017 loss_centerness: 0.6243 loss_cls: 0.1661 loss_conf3d: 0.6131 lr: 0.002 max_mem: 5634M
[03/18 10:10:41 d2.utils.events]: eta: 4:33:32 iter: 7500 total_loss: 2.882 loss_box2d_reg: 0.2044 loss_box3d_depth: 0.7578 loss_box3d_proj_ctr: 0.1541 loss_box3d_quat: 0.2724 loss_box3d_size: 0.1063 loss_centerness: 0.6224 loss_cls: 0.1646 loss_conf3d: 0.6039 lr: 0.002 max_mem: 5634M
[03/18 10:10:59 d2.utils.events]: eta: 4:18:27 iter: 7520 total_loss: 2.909 loss_box2d_reg: 0.2032 loss_box3d_depth: 0.7693 loss_box3d_proj_ctr: 0.1513 loss_box3d_quat: 0.2874 loss_box3d_size: 0.1085 loss_centerness: 0.6227 loss_cls: 0.1637 loss_conf3d: 0.6094 lr: 0.002 max_mem: 5634M
[03/18 10:11:17 d2.utils.events]: eta: 4:25:01 iter: 7540 total_loss: 2.874 loss_box2d_reg: 0.2075 loss_box3d_depth: 0.7504 loss_box3d_proj_ctr: 0.1495 loss_box3d_quat: 0.2821 loss_box3d_size: 0.1034 loss_centerness: 0.6226 loss_cls: 0.163 loss_conf3d: 0.6022 lr: 0.002 max_mem: 5634M
[03/18 10:11:35 d2.utils.events]: eta: 4:26:11 iter: 7560 total_loss: 2.994 loss_box2d_reg: 0.2037 loss_box3d_depth: 0.8434 loss_box3d_proj_ctr: 0.1519 loss_box3d_quat: 0.2739 loss_box3d_size: 0.1045 loss_centerness: 0.6222 loss_cls: 0.1616 loss_conf3d: 0.624 lr: 0.002 max_mem: 5634M
[03/18 10:11:53 d2.utils.events]: eta: 4:17:26 iter: 7580 total_loss: 3.046 loss_box2d_reg: 0.2053 loss_box3d_depth: 0.8824 loss_box3d_proj_ctr: 0.1494 loss_box3d_quat: 0.2784 loss_box3d_size: 0.1037 loss_centerness: 0.6222 loss_cls: 0.1658 loss_conf3d: 0.6322 lr: 0.002 max_mem: 5634M
[03/18 10:12:12 d2.utils.events]: eta: 4:29:07 iter: 7600 total_loss: 2.992 loss_box2d_reg: 0.1988 loss_box3d_depth: 0.837 loss_box3d_proj_ctr: 0.1562 loss_box3d_quat: 0.272 loss_box3d_size: 0.1067 loss_centerness: 0.6215 loss_cls: 0.1634 loss_conf3d: 0.6172 lr: 0.002 max_mem: 5634M
[03/18 10:12:30 d2.utils.events]: eta: 4:29:09 iter: 7620 total_loss: 3.026 loss_box2d_reg: 0.2046 loss_box3d_depth: 0.8723 loss_box3d_proj_ctr: 0.1504 loss_box3d_quat: 0.2804 loss_box3d_size: 0.1048 loss_centerness: 0.6227 loss_cls: 0.1686 loss_conf3d: 0.6225 lr: 0.002 max_mem: 5634M
[03/18 10:12:49 d2.utils.events]: eta: 4:29:24 iter: 7640 total_loss: 3.189 loss_box2d_reg: 0.2071 loss_box3d_depth: 1.044 loss_box3d_proj_ctr: 0.1476 loss_box3d_quat: 0.2903 loss_box3d_size: 0.1015 loss_centerness: 0.6234 loss_cls: 0.1674 loss_conf3d: 0.6387 lr: 0.002 max_mem: 5634M
[03/18 10:13:08 d2.utils.events]: eta: 4:36:47 iter: 7660 total_loss: 3.011 loss_box2d_reg: 0.2028 loss_box3d_depth: 0.8765 loss_box3d_proj_ctr: 0.1554 loss_box3d_quat: 0.2817 loss_box3d_size: 0.1084 loss_centerness: 0.6221 loss_cls: 0.1688 loss_conf3d: 0.6282 lr: 0.002 max_mem: 5634M
[03/18 10:13:26 d2.utils.events]: eta: 4:22:19 iter: 7680 total_loss: 3.014 loss_box2d_reg: 0.2062 loss_box3d_depth: 0.8462 loss_box3d_proj_ctr: 0.1535 loss_box3d_quat: 0.2834 loss_box3d_size: 0.1055 loss_centerness: 0.6231 loss_cls: 0.1691 loss_conf3d: 0.6204 lr: 0.002 max_mem: 5634M
[03/18 10:13:45 d2.utils.events]: eta: 4:24:45 iter: 7700 total_loss: 3.053 loss_box2d_reg: 0.204 loss_box3d_depth: 0.8597 loss_box3d_proj_ctr: 0.1483 loss_box3d_quat: 0.2565 loss_box3d_size: 0.1039 loss_centerness: 0.6222 loss_cls: 0.1649 loss_conf3d: 0.627 lr: 0.002 max_mem: 5634M
[03/18 10:14:03 d2.utils.events]: eta: 4:27:40 iter: 7720 total_loss: 2.965 loss_box2d_reg: 0.2003 loss_box3d_depth: 0.842 loss_box3d_proj_ctr: 0.1476 loss_box3d_quat: 0.2691 loss_box3d_size: 0.1055 loss_centerness: 0.6228 loss_cls: 0.1601 loss_conf3d: 0.6238 lr: 0.002 max_mem: 5634M
[03/18 10:14:22 d2.utils.events]: eta: 4:30:05 iter: 7740 total_loss: 2.885 loss_box2d_reg: 0.2019 loss_box3d_depth: 0.7428 loss_box3d_proj_ctr: 0.1452 loss_box3d_quat: 0.2663 loss_box3d_size: 0.1046 loss_centerness: 0.621 loss_cls: 0.1618 loss_conf3d: 0.6093 lr: 0.002 max_mem: 5634M
[03/18 10:14:39 d2.utils.events]: eta: 4:11:58 iter: 7760 total_loss: 2.913 loss_box2d_reg: 0.2032 loss_box3d_depth: 0.8201 loss_box3d_proj_ctr: 0.1488 loss_box3d_quat: 0.2635 loss_box3d_size: 0.1048 loss_centerness: 0.6226 loss_cls: 0.163 loss_conf3d: 0.6129 lr: 0.002 max_mem: 5634M
[03/18 10:14:58 d2.utils.events]: eta: 4:26:05 iter: 7780 total_loss: 2.855 loss_box2d_reg: 0.2027 loss_box3d_depth: 0.7588 loss_box3d_proj_ctr: 0.1473 loss_box3d_quat: 0.2669 loss_box3d_size: 0.09945 loss_centerness: 0.6223 loss_cls: 0.1665 loss_conf3d: 0.61 lr: 0.002 max_mem: 5634M
[03/18 10:15:16 d2.utils.events]: eta: 4:23:34 iter: 7800 total_loss: 2.865 loss_box2d_reg: 0.1989 loss_box3d_depth: 0.749 loss_box3d_proj_ctr: 0.1546 loss_box3d_quat: 0.2551 loss_box3d_size: 0.1016 loss_centerness: 0.622 loss_cls: 0.1614 loss_conf3d: 0.6091 lr: 0.002 max_mem: 5634M
[03/18 10:15:34 d2.utils.events]: eta: 4:13:37 iter: 7820 total_loss: 2.814 loss_box2d_reg: 0.1996 loss_box3d_depth: 0.7261 loss_box3d_proj_ctr: 0.143 loss_box3d_quat: 0.2566 loss_box3d_size: 0.1026 loss_centerness: 0.6223 loss_cls: 0.1616 loss_conf3d: 0.6082 lr: 0.002 max_mem: 5634M
[03/18 10:15:53 d2.utils.events]: eta: 4:31:48 iter: 7840 total_loss: 2.843 loss_box2d_reg: 0.1975 loss_box3d_depth: 0.7642 loss_box3d_proj_ctr: 0.1408 loss_box3d_quat: 0.2479 loss_box3d_size: 0.1043 loss_centerness: 0.6219 loss_cls: 0.1605 loss_conf3d: 0.6093 lr: 0.002 max_mem: 5634M
[03/18 10:16:12 d2.utils.events]: eta: 4:33:53 iter: 7860 total_loss: 2.835 loss_box2d_reg: 0.1986 loss_box3d_depth: 0.7412 loss_box3d_proj_ctr: 0.1435 loss_box3d_quat: 0.2674 loss_box3d_size: 0.1026 loss_centerness: 0.6227 loss_cls: 0.1601 loss_conf3d: 0.5997 lr: 0.002 max_mem: 5634M
[03/18 10:16:31 d2.utils.events]: eta: 4:28:55 iter: 7880 total_loss: 2.918 loss_box2d_reg: 0.2023 loss_box3d_depth: 0.7874 loss_box3d_proj_ctr: 0.1545 loss_box3d_quat: 0.2669 loss_box3d_size: 0.1037 loss_centerness: 0.6221 loss_cls: 0.1612 loss_conf3d: 0.6151 lr: 0.002 max_mem: 5634M
[03/18 10:16:51 d2.utils.events]: eta: 4:36:30 iter: 7900 total_loss: 2.961 loss_box2d_reg: 0.204 loss_box3d_depth: 0.8222 loss_box3d_proj_ctr: 0.1478 loss_box3d_quat: 0.2693 loss_box3d_size: 0.1008 loss_centerness: 0.6222 loss_cls: 0.1604 loss_conf3d: 0.612 lr: 0.002 max_mem: 5634M
[03/18 10:17:08 d2.utils.events]: eta: 4:14:16 iter: 7920 total_loss: 2.756 loss_box2d_reg: 0.1974 loss_box3d_depth: 0.6842 loss_box3d_proj_ctr: 0.1427 loss_box3d_quat: 0.2551 loss_box3d_size: 0.1047 loss_centerness: 0.6216 loss_cls: 0.1608 loss_conf3d: 0.5968 lr: 0.002 max_mem: 5634M
[03/18 10:17:27 d2.utils.events]: eta: 4:27:35 iter: 7940 total_loss: 2.79 loss_box2d_reg: 0.1991 loss_box3d_depth: 0.7174 loss_box3d_proj_ctr: 0.1379 loss_box3d_quat: 0.2547 loss_box3d_size: 0.1008 loss_centerness: 0.6211 loss_cls: 0.1585 loss_conf3d: 0.6047 lr: 0.002 max_mem: 5634M
[03/18 10:17:46 d2.utils.events]: eta: 4:19:38 iter: 7960 total_loss: 2.934 loss_box2d_reg: 0.197 loss_box3d_depth: 0.8225 loss_box3d_proj_ctr: 0.1474 loss_box3d_quat: 0.254 loss_box3d_size: 0.105 loss_centerness: 0.6216 loss_cls: 0.1623 loss_conf3d: 0.6179 lr: 0.002 max_mem: 5634M
[03/18 10:18:04 d2.utils.events]: eta: 4:22:09 iter: 7980 total_loss: 2.863 loss_box2d_reg: 0.1997 loss_box3d_depth: 0.7727 loss_box3d_proj_ctr: 0.1438 loss_box3d_quat: 0.252 loss_box3d_size: 0.1039 loss_centerness: 0.6221 loss_cls: 0.1627 loss_conf3d: 0.6081 lr: 0.002 max_mem: 5634M
[03/18 10:18:23 d2.utils.events]: eta: 4:23:10 iter: 8000 total_loss: 2.869 loss_box2d_reg: 0.1973 loss_box3d_depth: 0.7637 loss_box3d_proj_ctr: 0.149 loss_box3d_quat: 0.2584 loss_box3d_size: 0.105 loss_centerness: 0.6214 loss_cls: 0.1592 loss_conf3d: 0.6091 lr: 0.002 max_mem: 5634M
[03/18 10:18:28 fvcore.common.checkpoint]: Saving checkpoint to ./model_0007999.pth
[03/18 10:18:29 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 10:18:29 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 10:18:30 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 10:18:30 tridet.data.build]: Using test sampler InferenceSampler
[03/18 10:18:30 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 10:18:45 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0010 s/iter. Inference: 0.3187 s/iter. Eval: 0.7140 s/iter. Total: 1.0338 s/iter. ETA=0:00:38
[03/18 10:18:51 d2.evaluation.evaluator]: Inference done 17/48. Dataloading: 0.0010 s/iter. Inference: 0.3097 s/iter. Eval: 0.7230 s/iter. Total: 1.0338 s/iter. ETA=0:00:32
[03/18 10:18:56 d2.evaluation.evaluator]: Inference done 22/48. Dataloading: 0.0010 s/iter. Inference: 0.3082 s/iter. Eval: 0.7353 s/iter. Total: 1.0447 s/iter. ETA=0:00:27
[03/18 10:19:02 d2.evaluation.evaluator]: Inference done 28/48. Dataloading: 0.0010 s/iter. Inference: 0.3077 s/iter. Eval: 0.7102 s/iter. Total: 1.0191 s/iter. ETA=0:00:20
[03/18 10:19:07 d2.evaluation.evaluator]: Inference done 33/48. Dataloading: 0.0011 s/iter. Inference: 0.3064 s/iter. Eval: 0.7176 s/iter. Total: 1.0252 s/iter. ETA=0:00:15
[03/18 10:19:13 d2.evaluation.evaluator]: Inference done 38/48. Dataloading: 0.0011 s/iter. Inference: 0.3052 s/iter. Eval: 0.7365 s/iter. Total: 1.0430 s/iter. ETA=0:00:10
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 10:19:19 d2.evaluation.evaluator]: Inference done 44/48. Dataloading: 0.0010 s/iter. Inference: 0.3030 s/iter. Eval: 0.7212 s/iter. Total: 1.0254 s/iter. ETA=0:00:04
[03/18 10:19:22 d2.evaluation.evaluator]: Total inference time: 0:00:43.360872 (1.008392 s / iter per device, on 8 devices)
[03/18 10:19:22 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:12 (0.296887 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 10:19:24 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 10:19:24 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0008000/kitti_3d_val/coco_instances_results.json
[03/18 10:19:25 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.76s)
creating index...
index created!
[03/18 10:19:26 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 10:19:28 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 2.11 seconds.
[03/18 10:19:28 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 10:19:29 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.61 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.143
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.278
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.138
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.101
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.141
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.210
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.142
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.297
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.334
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.191
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.321
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.478
[03/18 10:19:29 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.264 27.755 13.774 10.116 14.116 21.021
[03/18 10:19:29 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 41.966 Pedestrian 14.538 Cyclist 2.108
Van 7.107 Truck 5.599
[03/18 10:20:10 tridet]: Running prediction visualizer: d2_visualizer
[03/18 10:20:11 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 5.29it/s][03/18 10:20:15 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.45it/s][03/18 10:20:32 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 10:20:32 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.2635
kitti_3d_val/bbox/AP50 27.7552
kitti_3d_val/bbox/AP75 13.7744
kitti_3d_val/bbox/APs 10.1162
kitti_3d_val/bbox/APm 14.1159
kitti_3d_val/bbox/APl 21.0214
kitti_3d_val/bbox/AP-Car 41.9656
kitti_3d_val/bbox/AP-Pedestrian 14.5382
kitti_3d_val/bbox/AP-Cyclist 2.10755
kitti_3d_val/bbox/AP-Van 7.10691
kitti_3d_val/bbox/AP-Truck 5.59936
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 15.4303
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 0.971014
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 11.0704
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 0.701434
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 9.52736
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 0.521182
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.0556206
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.0442478
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.0272623
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.00709609
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0.00352184
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0.0037696
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 1.89658
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.0722543
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.693064
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.449714
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 1.06454
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.0661058
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.0777512
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 20.6016
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 3.2056
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 15.2089
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 1.96428
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 13.1874
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 1.57291
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 0.11427
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.152066
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.16405
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.00864029
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.00520678
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.00438699
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 3.21321
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.237744
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 1.33864
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.0169525
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 0.865742
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0153667
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 4.83853
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0.0674689
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.785556
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.480143
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 10:20:50 d2.utils.events]: eta: 1 day, 10:47:06 iter: 8020 total_loss: 2.903 loss_box2d_reg: 0.1993 loss_box3d_depth: 0.8195 loss_box3d_proj_ctr: 0.1463 loss_box3d_quat: 0.255 loss_box3d_size: 0.1032 loss_centerness: 0.6211 loss_cls: 0.1615 loss_conf3d: 0.6127 lr: 0.002 max_mem: 5634M
[03/18 10:21:08 d2.utils.events]: eta: 4:17:18 iter: 8040 total_loss: 2.947 loss_box2d_reg: 0.2001 loss_box3d_depth: 0.8292 loss_box3d_proj_ctr: 0.1447 loss_box3d_quat: 0.2475 loss_box3d_size: 0.1033 loss_centerness: 0.622 loss_cls: 0.1589 loss_conf3d: 0.6177 lr: 0.002 max_mem: 5634M
[03/18 10:21:27 d2.utils.events]: eta: 4:22:07 iter: 8060 total_loss: 2.845 loss_box2d_reg: 0.2004 loss_box3d_depth: 0.7603 loss_box3d_proj_ctr: 0.1433 loss_box3d_quat: 0.2526 loss_box3d_size: 0.1041 loss_centerness: 0.6221 loss_cls: 0.1603 loss_conf3d: 0.6083 lr: 0.002 max_mem: 5634M
[03/18 10:21:45 d2.utils.events]: eta: 4:19:38 iter: 8080 total_loss: 2.901 loss_box2d_reg: 0.1969 loss_box3d_depth: 0.8469 loss_box3d_proj_ctr: 0.1482 loss_box3d_quat: 0.2418 loss_box3d_size: 0.1031 loss_centerness: 0.6211 loss_cls: 0.1573 loss_conf3d: 0.6231 lr: 0.002 max_mem: 5634M
[03/18 10:22:04 d2.utils.events]: eta: 4:22:41 iter: 8100 total_loss: 2.955 loss_box2d_reg: 0.2026 loss_box3d_depth: 0.8366 loss_box3d_proj_ctr: 0.1473 loss_box3d_quat: 0.2653 loss_box3d_size: 0.1026 loss_centerness: 0.623 loss_cls: 0.1572 loss_conf3d: 0.6204 lr: 0.002 max_mem: 5634M
[03/18 10:22:23 d2.utils.events]: eta: 4:30:21 iter: 8120 total_loss: 2.786 loss_box2d_reg: 0.1971 loss_box3d_depth: 0.731 loss_box3d_proj_ctr: 0.1379 loss_box3d_quat: 0.2409 loss_box3d_size: 0.1029 loss_centerness: 0.6214 loss_cls: 0.1602 loss_conf3d: 0.5997 lr: 0.002 max_mem: 5634M
[03/18 10:22:41 d2.utils.events]: eta: 4:13:57 iter: 8140 total_loss: 2.804 loss_box2d_reg: 0.1949 loss_box3d_depth: 0.6971 loss_box3d_proj_ctr: 0.1465 loss_box3d_quat: 0.2566 loss_box3d_size: 0.1005 loss_centerness: 0.6215 loss_cls: 0.1592 loss_conf3d: 0.5996 lr: 0.002 max_mem: 5634M
[03/18 10:22:59 d2.utils.events]: eta: 4:16:12 iter: 8160 total_loss: 2.876 loss_box2d_reg: 0.1996 loss_box3d_depth: 0.7999 loss_box3d_proj_ctr: 0.1416 loss_box3d_quat: 0.2613 loss_box3d_size: 0.1008 loss_centerness: 0.6224 loss_cls: 0.1568 loss_conf3d: 0.6146 lr: 0.002 max_mem: 5634M
[03/18 10:23:18 d2.utils.events]: eta: 4:15:44 iter: 8180 total_loss: 3.002 loss_box2d_reg: 0.1976 loss_box3d_depth: 0.919 loss_box3d_proj_ctr: 0.1364 loss_box3d_quat: 0.2425 loss_box3d_size: 0.09976 loss_centerness: 0.6215 loss_cls: 0.1595 loss_conf3d: 0.6359 lr: 0.002 max_mem: 5634M
[03/18 10:23:36 d2.utils.events]: eta: 4:14:56 iter: 8200 total_loss: 2.955 loss_box2d_reg: 0.1974 loss_box3d_depth: 0.8403 loss_box3d_proj_ctr: 0.1437 loss_box3d_quat: 0.2668 loss_box3d_size: 0.1042 loss_centerness: 0.6213 loss_cls: 0.1582 loss_conf3d: 0.6191 lr: 0.002 max_mem: 5634M
[03/18 10:23:54 d2.utils.events]: eta: 4:11:45 iter: 8220 total_loss: 2.828 loss_box2d_reg: 0.1984 loss_box3d_depth: 0.7378 loss_box3d_proj_ctr: 0.1455 loss_box3d_quat: 0.2603 loss_box3d_size: 0.1011 loss_centerness: 0.6219 loss_cls: 0.1536 loss_conf3d: 0.6086 lr: 0.002 max_mem: 5634M
[03/18 10:24:12 d2.utils.events]: eta: 4:13:34 iter: 8240 total_loss: 2.787 loss_box2d_reg: 0.1987 loss_box3d_depth: 0.7217 loss_box3d_proj_ctr: 0.1427 loss_box3d_quat: 0.2487 loss_box3d_size: 0.1005 loss_centerness: 0.6221 loss_cls: 0.1575 loss_conf3d: 0.5997 lr: 0.002 max_mem: 5634M
[03/18 10:24:30 d2.utils.events]: eta: 4:15:34 iter: 8260 total_loss: 2.788 loss_box2d_reg: 0.1989 loss_box3d_depth: 0.7048 loss_box3d_proj_ctr: 0.1476 loss_box3d_quat: 0.2519 loss_box3d_size: 0.09943 loss_centerness: 0.6213 loss_cls: 0.1551 loss_conf3d: 0.6005 lr: 0.002 max_mem: 5634M
[03/18 10:24:49 d2.utils.events]: eta: 4:16:46 iter: 8280 total_loss: 2.772 loss_box2d_reg: 0.1961 loss_box3d_depth: 0.7181 loss_box3d_proj_ctr: 0.1414 loss_box3d_quat: 0.2603 loss_box3d_size: 0.1022 loss_centerness: 0.6207 loss_cls: 0.1542 loss_conf3d: 0.5975 lr: 0.002 max_mem: 5634M
[03/18 10:25:08 d2.utils.events]: eta: 4:22:16 iter: 8300 total_loss: 2.734 loss_box2d_reg: 0.1948 loss_box3d_depth: 0.6816 loss_box3d_proj_ctr: 0.1375 loss_box3d_quat: 0.2499 loss_box3d_size: 0.1023 loss_centerness: 0.6216 loss_cls: 0.154 loss_conf3d: 0.5929 lr: 0.002 max_mem: 5634M
[03/18 10:25:27 d2.utils.events]: eta: 4:22:15 iter: 8320 total_loss: 2.92 loss_box2d_reg: 0.1996 loss_box3d_depth: 0.8391 loss_box3d_proj_ctr: 0.1416 loss_box3d_quat: 0.2378 loss_box3d_size: 0.1022 loss_centerness: 0.6221 loss_cls: 0.1573 loss_conf3d: 0.6231 lr: 0.002 max_mem: 5634M
[03/18 10:25:46 d2.utils.events]: eta: 4:23:27 iter: 8340 total_loss: 2.786 loss_box2d_reg: 0.1935 loss_box3d_depth: 0.7125 loss_box3d_proj_ctr: 0.1367 loss_box3d_quat: 0.2525 loss_box3d_size: 0.1005 loss_centerness: 0.6205 loss_cls: 0.153 loss_conf3d: 0.6031 lr: 0.002 max_mem: 5634M
[03/18 10:26:04 d2.utils.events]: eta: 4:18:59 iter: 8360 total_loss: 2.832 loss_box2d_reg: 0.1953 loss_box3d_depth: 0.7446 loss_box3d_proj_ctr: 0.1493 loss_box3d_quat: 0.2454 loss_box3d_size: 0.1058 loss_centerness: 0.6217 loss_cls: 0.1565 loss_conf3d: 0.6 lr: 0.002 max_mem: 5634M
[03/18 10:26:23 d2.utils.events]: eta: 4:15:08 iter: 8380 total_loss: 2.814 loss_box2d_reg: 0.198 loss_box3d_depth: 0.728 loss_box3d_proj_ctr: 0.1336 loss_box3d_quat: 0.259 loss_box3d_size: 0.1008 loss_centerness: 0.6219 loss_cls: 0.1528 loss_conf3d: 0.6043 lr: 0.002 max_mem: 5634M
[03/18 10:26:41 d2.utils.events]: eta: 4:10:09 iter: 8400 total_loss: 2.751 loss_box2d_reg: 0.1995 loss_box3d_depth: 0.6896 loss_box3d_proj_ctr: 0.135 loss_box3d_quat: 0.2502 loss_box3d_size: 0.1005 loss_centerness: 0.6222 loss_cls: 0.1558 loss_conf3d: 0.5997 lr: 0.002 max_mem: 5634M
[03/18 10:26:59 d2.utils.events]: eta: 4:11:03 iter: 8420 total_loss: 2.825 loss_box2d_reg: 0.1954 loss_box3d_depth: 0.7493 loss_box3d_proj_ctr: 0.1411 loss_box3d_quat: 0.2522 loss_box3d_size: 0.1044 loss_centerness: 0.6212 loss_cls: 0.1552 loss_conf3d: 0.6027 lr: 0.002 max_mem: 5634M
[03/18 10:27:17 d2.utils.events]: eta: 4:11:07 iter: 8440 total_loss: 2.779 loss_box2d_reg: 0.1939 loss_box3d_depth: 0.7279 loss_box3d_proj_ctr: 0.1388 loss_box3d_quat: 0.2453 loss_box3d_size: 0.1026 loss_centerness: 0.6215 loss_cls: 0.1551 loss_conf3d: 0.6065 lr: 0.002 max_mem: 5634M
[03/18 10:27:35 d2.utils.events]: eta: 4:06:17 iter: 8460 total_loss: 2.78 loss_box2d_reg: 0.1942 loss_box3d_depth: 0.7141 loss_box3d_proj_ctr: 0.1415 loss_box3d_quat: 0.2332 loss_box3d_size: 0.09821 loss_centerness: 0.6212 loss_cls: 0.1526 loss_conf3d: 0.6 lr: 0.002 max_mem: 5634M
[03/18 10:27:53 d2.utils.events]: eta: 4:11:48 iter: 8480 total_loss: 2.762 loss_box2d_reg: 0.1968 loss_box3d_depth: 0.7552 loss_box3d_proj_ctr: 0.1376 loss_box3d_quat: 0.2279 loss_box3d_size: 0.09913 loss_centerness: 0.6209 loss_cls: 0.154 loss_conf3d: 0.6035 lr: 0.002 max_mem: 5634M
[03/18 10:28:12 d2.utils.events]: eta: 4:17:28 iter: 8500 total_loss: 2.943 loss_box2d_reg: 0.1985 loss_box3d_depth: 0.8552 loss_box3d_proj_ctr: 0.1369 loss_box3d_quat: 0.2484 loss_box3d_size: 0.09968 loss_centerness: 0.6214 loss_cls: 0.1543 loss_conf3d: 0.6199 lr: 0.002 max_mem: 5634M
[03/18 10:28:31 d2.utils.events]: eta: 4:16:17 iter: 8520 total_loss: 2.766 loss_box2d_reg: 0.1939 loss_box3d_depth: 0.7048 loss_box3d_proj_ctr: 0.1347 loss_box3d_quat: 0.2526 loss_box3d_size: 0.09884 loss_centerness: 0.6221 loss_cls: 0.1551 loss_conf3d: 0.5988 lr: 0.002 max_mem: 5634M
[03/18 10:28:50 d2.utils.events]: eta: 4:23:31 iter: 8540 total_loss: 2.747 loss_box2d_reg: 0.1894 loss_box3d_depth: 0.7243 loss_box3d_proj_ctr: 0.1294 loss_box3d_quat: 0.2124 loss_box3d_size: 0.1016 loss_centerness: 0.6204 loss_cls: 0.1524 loss_conf3d: 0.5999 lr: 0.002 max_mem: 5634M
[03/18 10:29:10 d2.utils.events]: eta: 4:31:45 iter: 8560 total_loss: 2.752 loss_box2d_reg: 0.1913 loss_box3d_depth: 0.6946 loss_box3d_proj_ctr: 0.1354 loss_box3d_quat: 0.2382 loss_box3d_size: 0.09967 loss_centerness: 0.6205 loss_cls: 0.1546 loss_conf3d: 0.5987 lr: 0.002 max_mem: 5634M
[03/18 10:29:29 d2.utils.events]: eta: 4:19:55 iter: 8580 total_loss: 2.765 loss_box2d_reg: 0.1971 loss_box3d_depth: 0.714 loss_box3d_proj_ctr: 0.1371 loss_box3d_quat: 0.2315 loss_box3d_size: 0.09849 loss_centerness: 0.6216 loss_cls: 0.1529 loss_conf3d: 0.6021 lr: 0.002 max_mem: 5634M
[03/18 10:29:48 d2.utils.events]: eta: 4:18:00 iter: 8600 total_loss: 2.691 loss_box2d_reg: 0.1921 loss_box3d_depth: 0.6643 loss_box3d_proj_ctr: 0.1387 loss_box3d_quat: 0.2262 loss_box3d_size: 0.09956 loss_centerness: 0.6208 loss_cls: 0.1472 loss_conf3d: 0.5928 lr: 0.002 max_mem: 5634M
[03/18 10:30:06 d2.utils.events]: eta: 4:16:10 iter: 8620 total_loss: 2.8 loss_box2d_reg: 0.1907 loss_box3d_depth: 0.7571 loss_box3d_proj_ctr: 0.1358 loss_box3d_quat: 0.2315 loss_box3d_size: 0.1021 loss_centerness: 0.6205 loss_cls: 0.153 loss_conf3d: 0.6081 lr: 0.002 max_mem: 5634M
[03/18 10:30:25 d2.utils.events]: eta: 4:11:56 iter: 8640 total_loss: 2.851 loss_box2d_reg: 0.1931 loss_box3d_depth: 0.8128 loss_box3d_proj_ctr: 0.1337 loss_box3d_quat: 0.225 loss_box3d_size: 0.09913 loss_centerness: 0.6209 loss_cls: 0.1517 loss_conf3d: 0.622 lr: 0.002 max_mem: 5634M
[03/18 10:30:43 d2.utils.events]: eta: 4:01:51 iter: 8660 total_loss: 2.795 loss_box2d_reg: 0.1948 loss_box3d_depth: 0.7508 loss_box3d_proj_ctr: 0.1417 loss_box3d_quat: 0.2354 loss_box3d_size: 0.0997 loss_centerness: 0.621 loss_cls: 0.1526 loss_conf3d: 0.6027 lr: 0.002 max_mem: 5634M
[03/18 10:31:01 d2.utils.events]: eta: 4:12:11 iter: 8680 total_loss: 2.815 loss_box2d_reg: 0.1988 loss_box3d_depth: 0.7656 loss_box3d_proj_ctr: 0.1323 loss_box3d_quat: 0.2257 loss_box3d_size: 0.09636 loss_centerness: 0.6223 loss_cls: 0.1532 loss_conf3d: 0.6017 lr: 0.002 max_mem: 5634M
[03/18 10:31:19 d2.utils.events]: eta: 4:08:41 iter: 8700 total_loss: 2.712 loss_box2d_reg: 0.1904 loss_box3d_depth: 0.6698 loss_box3d_proj_ctr: 0.1338 loss_box3d_quat: 0.2391 loss_box3d_size: 0.1021 loss_centerness: 0.6204 loss_cls: 0.1517 loss_conf3d: 0.5951 lr: 0.002 max_mem: 5634M
[03/18 10:31:37 d2.utils.events]: eta: 4:04:05 iter: 8720 total_loss: 2.751 loss_box2d_reg: 0.195 loss_box3d_depth: 0.7291 loss_box3d_proj_ctr: 0.1301 loss_box3d_quat: 0.2288 loss_box3d_size: 0.09988 loss_centerness: 0.6216 loss_cls: 0.1513 loss_conf3d: 0.5989 lr: 0.002 max_mem: 5634M
[03/18 10:31:56 d2.utils.events]: eta: 4:14:47 iter: 8740 total_loss: 2.798 loss_box2d_reg: 0.1958 loss_box3d_depth: 0.7748 loss_box3d_proj_ctr: 0.1374 loss_box3d_quat: 0.2342 loss_box3d_size: 0.1003 loss_centerness: 0.6215 loss_cls: 0.1506 loss_conf3d: 0.6072 lr: 0.002 max_mem: 5634M
[03/18 10:32:15 d2.utils.events]: eta: 4:08:29 iter: 8760 total_loss: 2.787 loss_box2d_reg: 0.1894 loss_box3d_depth: 0.7811 loss_box3d_proj_ctr: 0.1412 loss_box3d_quat: 0.2186 loss_box3d_size: 0.1001 loss_centerness: 0.6196 loss_cls: 0.1511 loss_conf3d: 0.6067 lr: 0.002 max_mem: 5634M
[03/18 10:32:34 d2.utils.events]: eta: 4:17:47 iter: 8780 total_loss: 2.845 loss_box2d_reg: 0.1965 loss_box3d_depth: 0.8075 loss_box3d_proj_ctr: 0.1348 loss_box3d_quat: 0.2201 loss_box3d_size: 0.09921 loss_centerness: 0.6215 loss_cls: 0.1515 loss_conf3d: 0.6084 lr: 0.002 max_mem: 5634M
[03/18 10:32:54 d2.utils.events]: eta: 4:28:07 iter: 8800 total_loss: 2.885 loss_box2d_reg: 0.1929 loss_box3d_depth: 0.8473 loss_box3d_proj_ctr: 0.13 loss_box3d_quat: 0.2064 loss_box3d_size: 0.09894 loss_centerness: 0.6208 loss_cls: 0.1504 loss_conf3d: 0.6151 lr: 0.002 max_mem: 5634M
[03/18 10:33:12 d2.utils.events]: eta: 4:13:59 iter: 8820 total_loss: 2.786 loss_box2d_reg: 0.1953 loss_box3d_depth: 0.706 loss_box3d_proj_ctr: 0.1419 loss_box3d_quat: 0.2354 loss_box3d_size: 0.0995 loss_centerness: 0.621 loss_cls: 0.1553 loss_conf3d: 0.5994 lr: 0.002 max_mem: 5634M
[03/18 10:33:32 d2.utils.events]: eta: 4:25:01 iter: 8840 total_loss: 2.703 loss_box2d_reg: 0.1919 loss_box3d_depth: 0.6907 loss_box3d_proj_ctr: 0.1315 loss_box3d_quat: 0.2338 loss_box3d_size: 0.1008 loss_centerness: 0.6207 loss_cls: 0.1486 loss_conf3d: 0.5903 lr: 0.002 max_mem: 5634M
[03/18 10:33:51 d2.utils.events]: eta: 4:16:53 iter: 8860 total_loss: 2.708 loss_box2d_reg: 0.1956 loss_box3d_depth: 0.6955 loss_box3d_proj_ctr: 0.1338 loss_box3d_quat: 0.221 loss_box3d_size: 0.1004 loss_centerness: 0.6206 loss_cls: 0.1496 loss_conf3d: 0.5935 lr: 0.002 max_mem: 5634M
[03/18 10:34:10 d2.utils.events]: eta: 4:07:45 iter: 8880 total_loss: 2.695 loss_box2d_reg: 0.1912 loss_box3d_depth: 0.6845 loss_box3d_proj_ctr: 0.1343 loss_box3d_quat: 0.2193 loss_box3d_size: 0.09767 loss_centerness: 0.6217 loss_cls: 0.1477 loss_conf3d: 0.5919 lr: 0.002 max_mem: 5634M
[03/18 10:34:29 d2.utils.events]: eta: 4:13:29 iter: 8900 total_loss: 2.673 loss_box2d_reg: 0.1909 loss_box3d_depth: 0.6903 loss_box3d_proj_ctr: 0.132 loss_box3d_quat: 0.2046 loss_box3d_size: 0.09843 loss_centerness: 0.6204 loss_cls: 0.1474 loss_conf3d: 0.5923 lr: 0.002 max_mem: 5634M
[03/18 10:34:47 d2.utils.events]: eta: 4:12:56 iter: 8920 total_loss: 2.761 loss_box2d_reg: 0.1906 loss_box3d_depth: 0.712 loss_box3d_proj_ctr: 0.1332 loss_box3d_quat: 0.2149 loss_box3d_size: 0.1032 loss_centerness: 0.6201 loss_cls: 0.1483 loss_conf3d: 0.6067 lr: 0.002 max_mem: 5634M
[03/18 10:35:06 d2.utils.events]: eta: 4:07:06 iter: 8940 total_loss: 2.985 loss_box2d_reg: 0.1935 loss_box3d_depth: 0.9278 loss_box3d_proj_ctr: 0.1383 loss_box3d_quat: 0.215 loss_box3d_size: 0.0996 loss_centerness: 0.6208 loss_cls: 0.1489 loss_conf3d: 0.627 lr: 0.002 max_mem: 5634M
[03/18 10:35:24 d2.utils.events]: eta: 4:06:36 iter: 8960 total_loss: 2.826 loss_box2d_reg: 0.1912 loss_box3d_depth: 0.8012 loss_box3d_proj_ctr: 0.1347 loss_box3d_quat: 0.2126 loss_box3d_size: 0.1 loss_centerness: 0.6208 loss_cls: 0.1491 loss_conf3d: 0.605 lr: 0.002 max_mem: 5634M
[03/18 10:35:43 d2.utils.events]: eta: 4:12:37 iter: 8980 total_loss: 2.728 loss_box2d_reg: 0.1943 loss_box3d_depth: 0.7235 loss_box3d_proj_ctr: 0.1299 loss_box3d_quat: 0.2184 loss_box3d_size: 0.09891 loss_centerness: 0.622 loss_cls: 0.1525 loss_conf3d: 0.5964 lr: 0.002 max_mem: 5634M
[03/18 10:36:02 d2.utils.events]: eta: 4:04:26 iter: 9000 total_loss: 2.906 loss_box2d_reg: 0.1951 loss_box3d_depth: 0.8976 loss_box3d_proj_ctr: 0.1325 loss_box3d_quat: 0.2105 loss_box3d_size: 0.09844 loss_centerness: 0.6207 loss_cls: 0.1523 loss_conf3d: 0.6273 lr: 0.002 max_mem: 5634M
[03/18 10:36:25 d2.utils.events]: eta: 5:18:21 iter: 9020 total_loss: 2.798 loss_box2d_reg: 0.1959 loss_box3d_depth: 0.7667 loss_box3d_proj_ctr: 0.1372 loss_box3d_quat: 0.2179 loss_box3d_size: 0.09946 loss_centerness: 0.621 loss_cls: 0.1525 loss_conf3d: 0.6092 lr: 0.002 max_mem: 5634M
[03/18 10:36:45 d2.utils.events]: eta: 4:17:46 iter: 9040 total_loss: 2.735 loss_box2d_reg: 0.1879 loss_box3d_depth: 0.7389 loss_box3d_proj_ctr: 0.1279 loss_box3d_quat: 0.2097 loss_box3d_size: 0.09704 loss_centerness: 0.6198 loss_cls: 0.1493 loss_conf3d: 0.6036 lr: 0.002 max_mem: 5634M
[03/18 10:37:04 d2.utils.events]: eta: 4:08:07 iter: 9060 total_loss: 2.763 loss_box2d_reg: 0.1917 loss_box3d_depth: 0.7366 loss_box3d_proj_ctr: 0.1308 loss_box3d_quat: 0.2329 loss_box3d_size: 0.1002 loss_centerness: 0.6197 loss_cls: 0.1501 loss_conf3d: 0.5994 lr: 0.002 max_mem: 5634M
[03/18 10:37:23 d2.utils.events]: eta: 4:14:36 iter: 9080 total_loss: 2.722 loss_box2d_reg: 0.1922 loss_box3d_depth: 0.7044 loss_box3d_proj_ctr: 0.1298 loss_box3d_quat: 0.2307 loss_box3d_size: 0.09751 loss_centerness: 0.6193 loss_cls: 0.148 loss_conf3d: 0.5998 lr: 0.002 max_mem: 5634M
[03/18 10:37:42 d2.utils.events]: eta: 4:09:23 iter: 9100 total_loss: 2.726 loss_box2d_reg: 0.1923 loss_box3d_depth: 0.6902 loss_box3d_proj_ctr: 0.1323 loss_box3d_quat: 0.2242 loss_box3d_size: 0.09935 loss_centerness: 0.6218 loss_cls: 0.1476 loss_conf3d: 0.5926 lr: 0.002 max_mem: 5634M
[03/18 10:38:00 d2.utils.events]: eta: 4:03:08 iter: 9120 total_loss: 2.686 loss_box2d_reg: 0.1904 loss_box3d_depth: 0.6996 loss_box3d_proj_ctr: 0.1295 loss_box3d_quat: 0.2148 loss_box3d_size: 0.09803 loss_centerness: 0.6205 loss_cls: 0.1473 loss_conf3d: 0.5976 lr: 0.002 max_mem: 5634M
[03/18 10:38:19 d2.utils.events]: eta: 4:05:56 iter: 9140 total_loss: 2.678 loss_box2d_reg: 0.1894 loss_box3d_depth: 0.6931 loss_box3d_proj_ctr: 0.1326 loss_box3d_quat: 0.2148 loss_box3d_size: 0.09856 loss_centerness: 0.6196 loss_cls: 0.1474 loss_conf3d: 0.5934 lr: 0.002 max_mem: 5634M
[03/18 10:38:37 d2.utils.events]: eta: 4:00:15 iter: 9160 total_loss: 2.677 loss_box2d_reg: 0.1904 loss_box3d_depth: 0.6996 loss_box3d_proj_ctr: 0.1255 loss_box3d_quat: 0.2056 loss_box3d_size: 0.09971 loss_centerness: 0.6209 loss_cls: 0.144 loss_conf3d: 0.5881 lr: 0.002 max_mem: 5634M
[03/18 10:38:55 d2.utils.events]: eta: 3:56:50 iter: 9180 total_loss: 2.67 loss_box2d_reg: 0.1891 loss_box3d_depth: 0.6796 loss_box3d_proj_ctr: 0.1279 loss_box3d_quat: 0.2204 loss_box3d_size: 0.09741 loss_centerness: 0.6208 loss_cls: 0.1457 loss_conf3d: 0.594 lr: 0.002 max_mem: 5634M
[03/18 10:39:13 d2.utils.events]: eta: 4:05:16 iter: 9200 total_loss: 2.714 loss_box2d_reg: 0.192 loss_box3d_depth: 0.6959 loss_box3d_proj_ctr: 0.1308 loss_box3d_quat: 0.2196 loss_box3d_size: 0.09504 loss_centerness: 0.6202 loss_cls: 0.1463 loss_conf3d: 0.5966 lr: 0.002 max_mem: 5634M
[03/18 10:39:32 d2.utils.events]: eta: 4:02:49 iter: 9220 total_loss: 2.672 loss_box2d_reg: 0.1886 loss_box3d_depth: 0.6857 loss_box3d_proj_ctr: 0.1248 loss_box3d_quat: 0.2186 loss_box3d_size: 0.09853 loss_centerness: 0.6207 loss_cls: 0.1437 loss_conf3d: 0.5923 lr: 0.002 max_mem: 5634M
[03/18 10:39:50 d2.utils.events]: eta: 4:04:22 iter: 9240 total_loss: 2.74 loss_box2d_reg: 0.191 loss_box3d_depth: 0.7162 loss_box3d_proj_ctr: 0.1313 loss_box3d_quat: 0.2211 loss_box3d_size: 0.09722 loss_centerness: 0.6197 loss_cls: 0.1472 loss_conf3d: 0.601 lr: 0.002 max_mem: 5634M
[03/18 10:40:10 d2.utils.events]: eta: 4:15:46 iter: 9260 total_loss: 2.639 loss_box2d_reg: 0.1869 loss_box3d_depth: 0.6488 loss_box3d_proj_ctr: 0.1363 loss_box3d_quat: 0.2146 loss_box3d_size: 0.0995 loss_centerness: 0.6204 loss_cls: 0.1463 loss_conf3d: 0.5837 lr: 0.002 max_mem: 5634M
[03/18 10:40:29 d2.utils.events]: eta: 4:12:51 iter: 9280 total_loss: 2.705 loss_box2d_reg: 0.1912 loss_box3d_depth: 0.6978 loss_box3d_proj_ctr: 0.127 loss_box3d_quat: 0.2054 loss_box3d_size: 0.09725 loss_centerness: 0.6203 loss_cls: 0.1474 loss_conf3d: 0.5962 lr: 0.002 max_mem: 5634M
[03/18 10:40:48 d2.utils.events]: eta: 4:04:48 iter: 9300 total_loss: 2.685 loss_box2d_reg: 0.188 loss_box3d_depth: 0.7036 loss_box3d_proj_ctr: 0.1278 loss_box3d_quat: 0.2127 loss_box3d_size: 0.09939 loss_centerness: 0.6201 loss_cls: 0.1451 loss_conf3d: 0.5955 lr: 0.002 max_mem: 5634M
[03/18 10:41:08 d2.utils.events]: eta: 4:21:24 iter: 9320 total_loss: 2.687 loss_box2d_reg: 0.1911 loss_box3d_depth: 0.7037 loss_box3d_proj_ctr: 0.1281 loss_box3d_quat: 0.208 loss_box3d_size: 0.09786 loss_centerness: 0.6216 loss_cls: 0.1424 loss_conf3d: 0.5917 lr: 0.002 max_mem: 5634M
[03/18 10:41:27 d2.utils.events]: eta: 4:09:01 iter: 9340 total_loss: 2.752 loss_box2d_reg: 0.1879 loss_box3d_depth: 0.751 loss_box3d_proj_ctr: 0.1326 loss_box3d_quat: 0.2078 loss_box3d_size: 0.09676 loss_centerness: 0.6204 loss_cls: 0.1459 loss_conf3d: 0.6084 lr: 0.002 max_mem: 5634M
[03/18 10:41:45 d2.utils.events]: eta: 3:59:04 iter: 9360 total_loss: 2.84 loss_box2d_reg: 0.1872 loss_box3d_depth: 0.8388 loss_box3d_proj_ctr: 0.1311 loss_box3d_quat: 0.2107 loss_box3d_size: 0.09804 loss_centerness: 0.6203 loss_cls: 0.1461 loss_conf3d: 0.6185 lr: 0.002 max_mem: 5634M
[03/18 10:42:04 d2.utils.events]: eta: 4:03:29 iter: 9380 total_loss: 2.736 loss_box2d_reg: 0.1872 loss_box3d_depth: 0.7425 loss_box3d_proj_ctr: 0.1318 loss_box3d_quat: 0.2047 loss_box3d_size: 0.09734 loss_centerness: 0.6198 loss_cls: 0.1448 loss_conf3d: 0.6093 lr: 0.002 max_mem: 5634M
[03/18 10:42:23 d2.utils.events]: eta: 4:03:56 iter: 9400 total_loss: 2.617 loss_box2d_reg: 0.1849 loss_box3d_depth: 0.6608 loss_box3d_proj_ctr: 0.1243 loss_box3d_quat: 0.1926 loss_box3d_size: 0.09858 loss_centerness: 0.6206 loss_cls: 0.1418 loss_conf3d: 0.5862 lr: 0.002 max_mem: 5634M
[03/18 10:42:41 d2.utils.events]: eta: 4:00:03 iter: 9420 total_loss: 2.615 loss_box2d_reg: 0.1866 loss_box3d_depth: 0.6373 loss_box3d_proj_ctr: 0.1274 loss_box3d_quat: 0.213 loss_box3d_size: 0.09634 loss_centerness: 0.6206 loss_cls: 0.1452 loss_conf3d: 0.5834 lr: 0.002 max_mem: 5634M
[03/18 10:43:00 d2.utils.events]: eta: 4:06:03 iter: 9440 total_loss: 2.656 loss_box2d_reg: 0.1899 loss_box3d_depth: 0.6541 loss_box3d_proj_ctr: 0.1284 loss_box3d_quat: 0.2151 loss_box3d_size: 0.09578 loss_centerness: 0.6194 loss_cls: 0.1475 loss_conf3d: 0.5906 lr: 0.002 max_mem: 5634M
[03/18 10:43:19 d2.utils.events]: eta: 4:05:38 iter: 9460 total_loss: 2.609 loss_box2d_reg: 0.1854 loss_box3d_depth: 0.6623 loss_box3d_proj_ctr: 0.1305 loss_box3d_quat: 0.2012 loss_box3d_size: 0.09461 loss_centerness: 0.6185 loss_cls: 0.1436 loss_conf3d: 0.5881 lr: 0.002 max_mem: 5634M
[03/18 10:43:38 d2.utils.events]: eta: 3:59:35 iter: 9480 total_loss: 2.611 loss_box2d_reg: 0.1846 loss_box3d_depth: 0.6472 loss_box3d_proj_ctr: 0.1271 loss_box3d_quat: 0.1943 loss_box3d_size: 0.09558 loss_centerness: 0.6198 loss_cls: 0.1459 loss_conf3d: 0.5828 lr: 0.002 max_mem: 5634M
[03/18 10:43:56 d2.utils.events]: eta: 3:58:01 iter: 9500 total_loss: 2.638 loss_box2d_reg: 0.188 loss_box3d_depth: 0.6795 loss_box3d_proj_ctr: 0.1206 loss_box3d_quat: 0.2004 loss_box3d_size: 0.09772 loss_centerness: 0.6214 loss_cls: 0.1415 loss_conf3d: 0.5888 lr: 0.002 max_mem: 5634M
[03/18 10:44:16 d2.utils.events]: eta: 4:09:31 iter: 9520 total_loss: 2.86 loss_box2d_reg: 0.1876 loss_box3d_depth: 0.8613 loss_box3d_proj_ctr: 0.1267 loss_box3d_quat: 0.2067 loss_box3d_size: 0.1003 loss_centerness: 0.62 loss_cls: 0.1432 loss_conf3d: 0.6225 lr: 0.002 max_mem: 5634M
[03/18 10:44:34 d2.utils.events]: eta: 4:02:43 iter: 9540 total_loss: 2.823 loss_box2d_reg: 0.1841 loss_box3d_depth: 0.8096 loss_box3d_proj_ctr: 0.1246 loss_box3d_quat: 0.212 loss_box3d_size: 0.0974 loss_centerness: 0.6204 loss_cls: 0.1459 loss_conf3d: 0.6129 lr: 0.002 max_mem: 5634M
[03/18 10:44:54 d2.utils.events]: eta: 4:12:04 iter: 9560 total_loss: 2.844 loss_box2d_reg: 0.1895 loss_box3d_depth: 0.8137 loss_box3d_proj_ctr: 0.1299 loss_box3d_quat: 0.2067 loss_box3d_size: 0.09499 loss_centerness: 0.6202 loss_cls: 0.1476 loss_conf3d: 0.6149 lr: 0.002 max_mem: 5634M
[03/18 10:45:13 d2.utils.events]: eta: 3:57:41 iter: 9580 total_loss: 2.642 loss_box2d_reg: 0.1871 loss_box3d_depth: 0.6745 loss_box3d_proj_ctr: 0.1261 loss_box3d_quat: 0.2055 loss_box3d_size: 0.0981 loss_centerness: 0.6191 loss_cls: 0.1395 loss_conf3d: 0.5883 lr: 0.002 max_mem: 5634M
[03/18 10:45:31 d2.utils.events]: eta: 3:57:34 iter: 9600 total_loss: 2.695 loss_box2d_reg: 0.1885 loss_box3d_depth: 0.7094 loss_box3d_proj_ctr: 0.1278 loss_box3d_quat: 0.2126 loss_box3d_size: 0.09687 loss_centerness: 0.621 loss_cls: 0.1455 loss_conf3d: 0.5976 lr: 0.002 max_mem: 5634M
[03/18 10:45:50 d2.utils.events]: eta: 4:07:17 iter: 9620 total_loss: 2.573 loss_box2d_reg: 0.1879 loss_box3d_depth: 0.6179 loss_box3d_proj_ctr: 0.129 loss_box3d_quat: 0.1986 loss_box3d_size: 0.09785 loss_centerness: 0.6204 loss_cls: 0.1389 loss_conf3d: 0.579 lr: 0.002 max_mem: 5634M
[03/18 10:46:09 d2.utils.events]: eta: 4:01:36 iter: 9640 total_loss: 2.597 loss_box2d_reg: 0.1851 loss_box3d_depth: 0.6464 loss_box3d_proj_ctr: 0.1217 loss_box3d_quat: 0.1898 loss_box3d_size: 0.09519 loss_centerness: 0.6198 loss_cls: 0.1431 loss_conf3d: 0.5857 lr: 0.002 max_mem: 5634M
[03/18 10:46:27 d2.utils.events]: eta: 3:52:47 iter: 9660 total_loss: 2.585 loss_box2d_reg: 0.1849 loss_box3d_depth: 0.6632 loss_box3d_proj_ctr: 0.126 loss_box3d_quat: 0.1953 loss_box3d_size: 0.09535 loss_centerness: 0.6198 loss_cls: 0.1391 loss_conf3d: 0.5827 lr: 0.002 max_mem: 5634M
[03/18 10:46:46 d2.utils.events]: eta: 4:03:25 iter: 9680 total_loss: 2.627 loss_box2d_reg: 0.1837 loss_box3d_depth: 0.6848 loss_box3d_proj_ctr: 0.1271 loss_box3d_quat: 0.1933 loss_box3d_size: 0.09485 loss_centerness: 0.6194 loss_cls: 0.1391 loss_conf3d: 0.5908 lr: 0.002 max_mem: 5634M
[03/18 10:47:06 d2.utils.events]: eta: 4:02:38 iter: 9700 total_loss: 2.615 loss_box2d_reg: 0.1867 loss_box3d_depth: 0.6788 loss_box3d_proj_ctr: 0.1231 loss_box3d_quat: 0.1902 loss_box3d_size: 0.0942 loss_centerness: 0.6196 loss_cls: 0.1421 loss_conf3d: 0.5901 lr: 0.002 max_mem: 5634M
[03/18 10:47:24 d2.utils.events]: eta: 3:49:49 iter: 9720 total_loss: 2.618 loss_box2d_reg: 0.1857 loss_box3d_depth: 0.6651 loss_box3d_proj_ctr: 0.1273 loss_box3d_quat: 0.1981 loss_box3d_size: 0.0985 loss_centerness: 0.6206 loss_cls: 0.1396 loss_conf3d: 0.5763 lr: 0.002 max_mem: 5634M
[03/18 10:47:42 d2.utils.events]: eta: 3:57:22 iter: 9740 total_loss: 2.686 loss_box2d_reg: 0.1874 loss_box3d_depth: 0.7313 loss_box3d_proj_ctr: 0.1223 loss_box3d_quat: 0.1951 loss_box3d_size: 0.09538 loss_centerness: 0.6206 loss_cls: 0.1412 loss_conf3d: 0.5957 lr: 0.002 max_mem: 5634M
[03/18 10:48:01 d2.utils.events]: eta: 3:55:23 iter: 9760 total_loss: 2.638 loss_box2d_reg: 0.1856 loss_box3d_depth: 0.6888 loss_box3d_proj_ctr: 0.125 loss_box3d_quat: 0.1924 loss_box3d_size: 0.09698 loss_centerness: 0.6194 loss_cls: 0.1387 loss_conf3d: 0.5893 lr: 0.002 max_mem: 5634M
[03/18 10:48:20 d2.utils.events]: eta: 4:04:04 iter: 9780 total_loss: 2.602 loss_box2d_reg: 0.1856 loss_box3d_depth: 0.6383 loss_box3d_proj_ctr: 0.1215 loss_box3d_quat: 0.1944 loss_box3d_size: 0.09579 loss_centerness: 0.6209 loss_cls: 0.141 loss_conf3d: 0.5832 lr: 0.002 max_mem: 5634M
[03/18 10:48:39 d2.utils.events]: eta: 4:00:28 iter: 9800 total_loss: 2.606 loss_box2d_reg: 0.1815 loss_box3d_depth: 0.6575 loss_box3d_proj_ctr: 0.1207 loss_box3d_quat: 0.201 loss_box3d_size: 0.09636 loss_centerness: 0.6202 loss_cls: 0.1359 loss_conf3d: 0.5865 lr: 0.002 max_mem: 5634M
[03/18 10:48:57 d2.utils.events]: eta: 3:52:38 iter: 9820 total_loss: 2.725 loss_box2d_reg: 0.1858 loss_box3d_depth: 0.7422 loss_box3d_proj_ctr: 0.1202 loss_box3d_quat: 0.19 loss_box3d_size: 0.09877 loss_centerness: 0.619 loss_cls: 0.1406 loss_conf3d: 0.6027 lr: 0.002 max_mem: 5634M
[03/18 10:49:16 d2.utils.events]: eta: 3:53:44 iter: 9840 total_loss: 2.655 loss_box2d_reg: 0.1875 loss_box3d_depth: 0.6995 loss_box3d_proj_ctr: 0.1249 loss_box3d_quat: 0.1996 loss_box3d_size: 0.09576 loss_centerness: 0.6202 loss_cls: 0.1421 loss_conf3d: 0.5915 lr: 0.002 max_mem: 5634M
[03/18 10:49:34 d2.utils.events]: eta: 3:53:57 iter: 9860 total_loss: 2.733 loss_box2d_reg: 0.1864 loss_box3d_depth: 0.757 loss_box3d_proj_ctr: 0.125 loss_box3d_quat: 0.1968 loss_box3d_size: 0.09316 loss_centerness: 0.6192 loss_cls: 0.1421 loss_conf3d: 0.607 lr: 0.002 max_mem: 5634M
[03/18 10:49:53 d2.utils.events]: eta: 3:53:27 iter: 9880 total_loss: 2.657 loss_box2d_reg: 0.1873 loss_box3d_depth: 0.6903 loss_box3d_proj_ctr: 0.1259 loss_box3d_quat: 0.1991 loss_box3d_size: 0.09801 loss_centerness: 0.6196 loss_cls: 0.1402 loss_conf3d: 0.5901 lr: 0.002 max_mem: 5634M
[03/18 10:50:11 d2.utils.events]: eta: 3:49:38 iter: 9900 total_loss: 2.617 loss_box2d_reg: 0.1879 loss_box3d_depth: 0.662 loss_box3d_proj_ctr: 0.1242 loss_box3d_quat: 0.1915 loss_box3d_size: 0.09414 loss_centerness: 0.6205 loss_cls: 0.1421 loss_conf3d: 0.5892 lr: 0.002 max_mem: 5634M
[03/18 10:50:30 d2.utils.events]: eta: 4:01:25 iter: 9920 total_loss: 2.51 loss_box2d_reg: 0.1811 loss_box3d_depth: 0.5959 loss_box3d_proj_ctr: 0.1215 loss_box3d_quat: 0.1803 loss_box3d_size: 0.09449 loss_centerness: 0.6203 loss_cls: 0.1403 loss_conf3d: 0.5717 lr: 0.002 max_mem: 5634M
[03/18 10:50:49 d2.utils.events]: eta: 3:47:48 iter: 9940 total_loss: 2.485 loss_box2d_reg: 0.1795 loss_box3d_depth: 0.5881 loss_box3d_proj_ctr: 0.1254 loss_box3d_quat: 0.1776 loss_box3d_size: 0.09361 loss_centerness: 0.6194 loss_cls: 0.1356 loss_conf3d: 0.568 lr: 0.002 max_mem: 5634M
[03/18 10:51:07 d2.utils.events]: eta: 3:46:43 iter: 9960 total_loss: 2.783 loss_box2d_reg: 0.1849 loss_box3d_depth: 0.7915 loss_box3d_proj_ctr: 0.1284 loss_box3d_quat: 0.1971 loss_box3d_size: 0.09707 loss_centerness: 0.6198 loss_cls: 0.1379 loss_conf3d: 0.6057 lr: 0.002 max_mem: 5634M
[03/18 10:51:26 d2.utils.events]: eta: 3:59:16 iter: 9980 total_loss: 2.676 loss_box2d_reg: 0.1849 loss_box3d_depth: 0.7097 loss_box3d_proj_ctr: 0.1187 loss_box3d_quat: 0.1959 loss_box3d_size: 0.09356 loss_centerness: 0.6199 loss_cls: 0.1434 loss_conf3d: 0.5976 lr: 0.002 max_mem: 5634M
[03/18 10:51:45 d2.utils.events]: eta: 3:55:33 iter: 10000 total_loss: 2.589 loss_box2d_reg: 0.1836 loss_box3d_depth: 0.6603 loss_box3d_proj_ctr: 0.1233 loss_box3d_quat: 0.1853 loss_box3d_size: 0.09352 loss_centerness: 0.6192 loss_cls: 0.1381 loss_conf3d: 0.5864 lr: 0.002 max_mem: 5634M
[03/18 10:51:50 fvcore.common.checkpoint]: Saving checkpoint to ./model_0009999.pth
[03/18 10:51:52 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 10:51:52 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 10:51:52 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 10:51:52 tridet.data.build]: Using test sampler InferenceSampler
[03/18 10:51:52 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 10:52:04 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 0.3022 s/iter. Eval: 0.6537 s/iter. Total: 0.9569 s/iter. ETA=0:00:35
[03/18 10:52:10 d2.evaluation.evaluator]: Inference done 17/48. Dataloading: 0.0012 s/iter. Inference: 0.3087 s/iter. Eval: 0.6418 s/iter. Total: 0.9518 s/iter. ETA=0:00:29
[03/18 10:52:15 d2.evaluation.evaluator]: Inference done 23/48. Dataloading: 0.0012 s/iter. Inference: 0.3061 s/iter. Eval: 0.6270 s/iter. Total: 0.9344 s/iter. ETA=0:00:23
[03/18 10:52:20 d2.evaluation.evaluator]: Inference done 29/48. Dataloading: 0.0013 s/iter. Inference: 0.3076 s/iter. Eval: 0.6126 s/iter. Total: 0.9216 s/iter. ETA=0:00:17
[03/18 10:52:26 d2.evaluation.evaluator]: Inference done 35/48. Dataloading: 0.0013 s/iter. Inference: 0.3074 s/iter. Eval: 0.6281 s/iter. Total: 0.9369 s/iter. ETA=0:00:12
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 10:52:32 d2.evaluation.evaluator]: Inference done 41/48. Dataloading: 0.0013 s/iter. Inference: 0.3059 s/iter. Eval: 0.6262 s/iter. Total: 0.9335 s/iter. ETA=0:00:06
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 10:52:37 d2.evaluation.evaluator]: Total inference time: 0:00:38.645765 (0.898739 s / iter per device, on 8 devices)
[03/18 10:52:37 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:12 (0.296839 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 10:52:39 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 10:52:39 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0010000/kitti_3d_val/coco_instances_results.json
[03/18 10:52:40 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.73s)
creating index...
index created!
[03/18 10:52:41 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 10:52:43 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.92 seconds.
[03/18 10:52:43 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 10:52:43 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.53 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.141
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.277
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.130
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.065
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.142
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.219
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.140
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.280
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.307
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.124
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.304
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.471
[03/18 10:52:43 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.075 27.695 13.017 6.457 14.179 21.937
[03/18 10:52:43 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 41.684 Pedestrian 14.126 Cyclist 3.586
Van 8.332 Truck 2.646
[03/18 10:53:15 tridet]: Running prediction visualizer: d2_visualizer
[03/18 10:53:17 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.17it/s][03/18 10:53:20 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.39it/s][03/18 10:53:37 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 10:53:37 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.0749
kitti_3d_val/bbox/AP50 27.6952
kitti_3d_val/bbox/AP75 13.0174
kitti_3d_val/bbox/APs 6.45671
kitti_3d_val/bbox/APm 14.1785
kitti_3d_val/bbox/APl 21.9372
kitti_3d_val/bbox/AP-Car 41.6841
kitti_3d_val/bbox/AP-Pedestrian 14.1263
kitti_3d_val/bbox/AP-Cyclist 3.58598
kitti_3d_val/bbox/AP-Van 8.33249
kitti_3d_val/bbox/AP-Truck 2.64577
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 21.6381
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 1.96536
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 15.1054
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 1.50665
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 13.6093
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.04712
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.121197
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.146563
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.11258
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0211582
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0.0144152
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0.00583658
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 1.38547
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.0356125
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.645505
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.284307
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 1.43674
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 27.5331
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 5.25006
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 19.5282
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 3.57887
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 17.6497
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 3.06477
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 0.389709
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.473795
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.372602
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0330976
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.015646
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.0154448
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 2.41055
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.250853
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 1.28841
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.0507155
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 0.855916
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0322652
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 3.57106
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0.0166667
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.45082
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.445205
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0

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azuryl commented Mar 20, 2023

[03/18 10:53:55 d2.utils.events]: eta: 1 day, 3:08:42 iter: 10020 total_loss: 2.608 loss_box2d_reg: 0.1859 loss_box3d_depth: 0.6881 loss_box3d_proj_ctr: 0.1245 loss_box3d_quat: 0.188 loss_box3d_size: 0.09417 loss_centerness: 0.6208 loss_cls: 0.1405 loss_conf3d: 0.5876 lr: 0.002 max_mem: 5634M
[03/18 10:54:13 d2.utils.events]: eta: 3:45:30 iter: 10040 total_loss: 2.568 loss_box2d_reg: 0.1819 loss_box3d_depth: 0.6641 loss_box3d_proj_ctr: 0.1201 loss_box3d_quat: 0.1857 loss_box3d_size: 0.09308 loss_centerness: 0.6194 loss_cls: 0.1406 loss_conf3d: 0.5872 lr: 0.002 max_mem: 5634M
[03/18 10:54:31 d2.utils.events]: eta: 3:45:57 iter: 10060 total_loss: 2.573 loss_box2d_reg: 0.1837 loss_box3d_depth: 0.615 loss_box3d_proj_ctr: 0.126 loss_box3d_quat: 0.1999 loss_box3d_size: 0.09653 loss_centerness: 0.6194 loss_cls: 0.1387 loss_conf3d: 0.585 lr: 0.002 max_mem: 5634M
[03/18 10:54:50 d2.utils.events]: eta: 3:46:49 iter: 10080 total_loss: 2.619 loss_box2d_reg: 0.1828 loss_box3d_depth: 0.6988 loss_box3d_proj_ctr: 0.1164 loss_box3d_quat: 0.1836 loss_box3d_size: 0.09408 loss_centerness: 0.6196 loss_cls: 0.1361 loss_conf3d: 0.5939 lr: 0.002 max_mem: 5634M
[03/18 10:55:09 d2.utils.events]: eta: 3:56:18 iter: 10100 total_loss: 2.545 loss_box2d_reg: 0.1826 loss_box3d_depth: 0.6316 loss_box3d_proj_ctr: 0.1224 loss_box3d_quat: 0.1807 loss_box3d_size: 0.09407 loss_centerness: 0.62 loss_cls: 0.1371 loss_conf3d: 0.5753 lr: 0.002 max_mem: 5634M
[03/18 10:55:27 d2.utils.events]: eta: 3:48:11 iter: 10120 total_loss: 2.629 loss_box2d_reg: 0.1791 loss_box3d_depth: 0.6851 loss_box3d_proj_ctr: 0.1214 loss_box3d_quat: 0.1901 loss_box3d_size: 0.09294 loss_centerness: 0.6193 loss_cls: 0.1404 loss_conf3d: 0.5974 lr: 0.002 max_mem: 5634M
[03/18 10:55:46 d2.utils.events]: eta: 3:50:06 iter: 10140 total_loss: 2.581 loss_box2d_reg: 0.1813 loss_box3d_depth: 0.663 loss_box3d_proj_ctr: 0.1201 loss_box3d_quat: 0.1815 loss_box3d_size: 0.09373 loss_centerness: 0.6189 loss_cls: 0.1362 loss_conf3d: 0.5852 lr: 0.002 max_mem: 5634M
[03/18 10:56:04 d2.utils.events]: eta: 3:50:41 iter: 10160 total_loss: 2.628 loss_box2d_reg: 0.182 loss_box3d_depth: 0.6931 loss_box3d_proj_ctr: 0.1216 loss_box3d_quat: 0.1837 loss_box3d_size: 0.09243 loss_centerness: 0.6201 loss_cls: 0.1353 loss_conf3d: 0.5867 lr: 0.002 max_mem: 5634M
[03/18 10:56:23 d2.utils.events]: eta: 3:45:23 iter: 10180 total_loss: 2.501 loss_box2d_reg: 0.182 loss_box3d_depth: 0.6011 loss_box3d_proj_ctr: 0.1165 loss_box3d_quat: 0.1931 loss_box3d_size: 0.0941 loss_centerness: 0.6187 loss_cls: 0.1375 loss_conf3d: 0.5738 lr: 0.002 max_mem: 5634M
[03/18 10:56:40 d2.utils.events]: eta: 3:41:13 iter: 10200 total_loss: 2.634 loss_box2d_reg: 0.1856 loss_box3d_depth: 0.6852 loss_box3d_proj_ctr: 0.1221 loss_box3d_quat: 0.1835 loss_box3d_size: 0.09447 loss_centerness: 0.6192 loss_cls: 0.14 loss_conf3d: 0.5921 lr: 0.002 max_mem: 5634M
[03/18 10:57:00 d2.utils.events]: eta: 3:58:52 iter: 10220 total_loss: 2.543 loss_box2d_reg: 0.1805 loss_box3d_depth: 0.6293 loss_box3d_proj_ctr: 0.1151 loss_box3d_quat: 0.1865 loss_box3d_size: 0.09698 loss_centerness: 0.6194 loss_cls: 0.1332 loss_conf3d: 0.582 lr: 0.002 max_mem: 5634M
[03/18 10:57:18 d2.utils.events]: eta: 3:45:16 iter: 10240 total_loss: 2.551 loss_box2d_reg: 0.179 loss_box3d_depth: 0.6212 loss_box3d_proj_ctr: 0.1188 loss_box3d_quat: 0.1947 loss_box3d_size: 0.09366 loss_centerness: 0.6186 loss_cls: 0.1359 loss_conf3d: 0.5761 lr: 0.002 max_mem: 5634M
[03/18 10:57:37 d2.utils.events]: eta: 3:57:01 iter: 10260 total_loss: 2.568 loss_box2d_reg: 0.1761 loss_box3d_depth: 0.6426 loss_box3d_proj_ctr: 0.1239 loss_box3d_quat: 0.1855 loss_box3d_size: 0.09422 loss_centerness: 0.6189 loss_cls: 0.1357 loss_conf3d: 0.5809 lr: 0.002 max_mem: 5634M
[03/18 10:57:56 d2.utils.events]: eta: 3:46:22 iter: 10280 total_loss: 2.522 loss_box2d_reg: 0.1795 loss_box3d_depth: 0.6065 loss_box3d_proj_ctr: 0.1183 loss_box3d_quat: 0.199 loss_box3d_size: 0.09463 loss_centerness: 0.6189 loss_cls: 0.1371 loss_conf3d: 0.5763 lr: 0.002 max_mem: 5634M
[03/18 10:58:14 d2.utils.events]: eta: 3:42:38 iter: 10300 total_loss: 2.543 loss_box2d_reg: 0.1821 loss_box3d_depth: 0.6476 loss_box3d_proj_ctr: 0.1153 loss_box3d_quat: 0.1863 loss_box3d_size: 0.09262 loss_centerness: 0.6191 loss_cls: 0.1359 loss_conf3d: 0.5811 lr: 0.002 max_mem: 5634M
[03/18 10:58:33 d2.utils.events]: eta: 3:47:27 iter: 10320 total_loss: 2.576 loss_box2d_reg: 0.1864 loss_box3d_depth: 0.6506 loss_box3d_proj_ctr: 0.1208 loss_box3d_quat: 0.1884 loss_box3d_size: 0.09074 loss_centerness: 0.6215 loss_cls: 0.1386 loss_conf3d: 0.5814 lr: 0.002 max_mem: 5634M
[03/18 10:58:51 d2.utils.events]: eta: 3:47:23 iter: 10340 total_loss: 2.666 loss_box2d_reg: 0.1814 loss_box3d_depth: 0.7112 loss_box3d_proj_ctr: 0.1261 loss_box3d_quat: 0.2042 loss_box3d_size: 0.0959 loss_centerness: 0.6185 loss_cls: 0.1369 loss_conf3d: 0.5975 lr: 0.002 max_mem: 5634M
[03/18 10:59:10 d2.utils.events]: eta: 3:47:11 iter: 10360 total_loss: 2.625 loss_box2d_reg: 0.1832 loss_box3d_depth: 0.689 loss_box3d_proj_ctr: 0.117 loss_box3d_quat: 0.195 loss_box3d_size: 0.09379 loss_centerness: 0.6197 loss_cls: 0.138 loss_conf3d: 0.5908 lr: 0.002 max_mem: 5634M
[03/18 10:59:28 d2.utils.events]: eta: 3:41:12 iter: 10380 total_loss: 2.659 loss_box2d_reg: 0.1829 loss_box3d_depth: 0.7022 loss_box3d_proj_ctr: 0.1217 loss_box3d_quat: 0.173 loss_box3d_size: 0.09267 loss_centerness: 0.6193 loss_cls: 0.1383 loss_conf3d: 0.592 lr: 0.002 max_mem: 5634M
[03/18 10:59:47 d2.utils.events]: eta: 3:52:13 iter: 10400 total_loss: 2.588 loss_box2d_reg: 0.1844 loss_box3d_depth: 0.6715 loss_box3d_proj_ctr: 0.121 loss_box3d_quat: 0.1831 loss_box3d_size: 0.09279 loss_centerness: 0.62 loss_cls: 0.1367 loss_conf3d: 0.584 lr: 0.002 max_mem: 5634M
[03/18 11:00:06 d2.utils.events]: eta: 3:49:27 iter: 10420 total_loss: 2.518 loss_box2d_reg: 0.182 loss_box3d_depth: 0.6152 loss_box3d_proj_ctr: 0.118 loss_box3d_quat: 0.182 loss_box3d_size: 0.09339 loss_centerness: 0.6185 loss_cls: 0.1363 loss_conf3d: 0.5778 lr: 0.002 max_mem: 5634M
[03/18 11:00:24 d2.utils.events]: eta: 3:42:22 iter: 10440 total_loss: 2.542 loss_box2d_reg: 0.1805 loss_box3d_depth: 0.619 loss_box3d_proj_ctr: 0.1188 loss_box3d_quat: 0.1913 loss_box3d_size: 0.09274 loss_centerness: 0.6186 loss_cls: 0.1367 loss_conf3d: 0.5779 lr: 0.002 max_mem: 5634M
[03/18 11:00:44 d2.utils.events]: eta: 3:54:56 iter: 10460 total_loss: 2.543 loss_box2d_reg: 0.1786 loss_box3d_depth: 0.6429 loss_box3d_proj_ctr: 0.1153 loss_box3d_quat: 0.1797 loss_box3d_size: 0.09295 loss_centerness: 0.6182 loss_cls: 0.133 loss_conf3d: 0.581 lr: 0.002 max_mem: 5634M
[03/18 11:01:02 d2.utils.events]: eta: 3:43:15 iter: 10480 total_loss: 2.621 loss_box2d_reg: 0.1828 loss_box3d_depth: 0.6992 loss_box3d_proj_ctr: 0.1214 loss_box3d_quat: 0.1764 loss_box3d_size: 0.09095 loss_centerness: 0.6183 loss_cls: 0.134 loss_conf3d: 0.5965 lr: 0.002 max_mem: 5634M
[03/18 11:01:21 d2.utils.events]: eta: 3:43:43 iter: 10500 total_loss: 2.546 loss_box2d_reg: 0.1772 loss_box3d_depth: 0.639 loss_box3d_proj_ctr: 0.12 loss_box3d_quat: 0.1834 loss_box3d_size: 0.09352 loss_centerness: 0.6185 loss_cls: 0.1329 loss_conf3d: 0.5752 lr: 0.002 max_mem: 5634M
[03/18 11:01:41 d2.utils.events]: eta: 4:02:03 iter: 10520 total_loss: 2.526 loss_box2d_reg: 0.1815 loss_box3d_depth: 0.6326 loss_box3d_proj_ctr: 0.1186 loss_box3d_quat: 0.1729 loss_box3d_size: 0.09272 loss_centerness: 0.6188 loss_cls: 0.1344 loss_conf3d: 0.5751 lr: 0.002 max_mem: 5634M
[03/18 11:02:00 d2.utils.events]: eta: 3:54:04 iter: 10540 total_loss: 2.553 loss_box2d_reg: 0.18 loss_box3d_depth: 0.632 loss_box3d_proj_ctr: 0.1179 loss_box3d_quat: 0.1793 loss_box3d_size: 0.09215 loss_centerness: 0.6193 loss_cls: 0.1383 loss_conf3d: 0.5731 lr: 0.002 max_mem: 5634M
[03/18 11:02:20 d2.utils.events]: eta: 3:52:00 iter: 10560 total_loss: 2.554 loss_box2d_reg: 0.1796 loss_box3d_depth: 0.6441 loss_box3d_proj_ctr: 0.1174 loss_box3d_quat: 0.1845 loss_box3d_size: 0.09262 loss_centerness: 0.619 loss_cls: 0.1332 loss_conf3d: 0.5785 lr: 0.002 max_mem: 5634M
[03/18 11:02:39 d2.utils.events]: eta: 3:52:11 iter: 10580 total_loss: 2.55 loss_box2d_reg: 0.1786 loss_box3d_depth: 0.6309 loss_box3d_proj_ctr: 0.1152 loss_box3d_quat: 0.1755 loss_box3d_size: 0.09526 loss_centerness: 0.6194 loss_cls: 0.1324 loss_conf3d: 0.58 lr: 0.002 max_mem: 5634M
[03/18 11:02:58 d2.utils.events]: eta: 3:49:08 iter: 10600 total_loss: 2.608 loss_box2d_reg: 0.1754 loss_box3d_depth: 0.6813 loss_box3d_proj_ctr: 0.114 loss_box3d_quat: 0.1822 loss_box3d_size: 0.09254 loss_centerness: 0.6181 loss_cls: 0.1339 loss_conf3d: 0.5922 lr: 0.002 max_mem: 5634M
[03/18 11:03:16 d2.utils.events]: eta: 3:37:06 iter: 10620 total_loss: 2.452 loss_box2d_reg: 0.1795 loss_box3d_depth: 0.5808 loss_box3d_proj_ctr: 0.1163 loss_box3d_quat: 0.1788 loss_box3d_size: 0.09256 loss_centerness: 0.6185 loss_cls: 0.1345 loss_conf3d: 0.5689 lr: 0.002 max_mem: 5634M
[03/18 11:03:36 d2.utils.events]: eta: 3:53:43 iter: 10640 total_loss: 2.541 loss_box2d_reg: 0.1774 loss_box3d_depth: 0.6331 loss_box3d_proj_ctr: 0.1125 loss_box3d_quat: 0.1811 loss_box3d_size: 0.09307 loss_centerness: 0.6184 loss_cls: 0.1337 loss_conf3d: 0.5819 lr: 0.002 max_mem: 5634M
[03/18 11:03:54 d2.utils.events]: eta: 3:44:05 iter: 10660 total_loss: 2.622 loss_box2d_reg: 0.1794 loss_box3d_depth: 0.71 loss_box3d_proj_ctr: 0.1205 loss_box3d_quat: 0.1773 loss_box3d_size: 0.09298 loss_centerness: 0.6174 loss_cls: 0.1345 loss_conf3d: 0.6019 lr: 0.002 max_mem: 5634M
[03/18 11:04:13 d2.utils.events]: eta: 3:45:38 iter: 10680 total_loss: 2.534 loss_box2d_reg: 0.1791 loss_box3d_depth: 0.6397 loss_box3d_proj_ctr: 0.1192 loss_box3d_quat: 0.1764 loss_box3d_size: 0.09461 loss_centerness: 0.6183 loss_cls: 0.1346 loss_conf3d: 0.5758 lr: 0.002 max_mem: 5634M
[03/18 11:04:32 d2.utils.events]: eta: 3:48:34 iter: 10700 total_loss: 2.482 loss_box2d_reg: 0.1751 loss_box3d_depth: 0.6016 loss_box3d_proj_ctr: 0.1152 loss_box3d_quat: 0.1707 loss_box3d_size: 0.0911 loss_centerness: 0.6191 loss_cls: 0.1347 loss_conf3d: 0.5698 lr: 0.002 max_mem: 5634M
[03/18 11:04:51 d2.utils.events]: eta: 3:37:39 iter: 10720 total_loss: 2.556 loss_box2d_reg: 0.1752 loss_box3d_depth: 0.6537 loss_box3d_proj_ctr: 0.1158 loss_box3d_quat: 0.1727 loss_box3d_size: 0.09113 loss_centerness: 0.6189 loss_cls: 0.1294 loss_conf3d: 0.5769 lr: 0.002 max_mem: 5634M
[03/18 11:05:09 d2.utils.events]: eta: 3:39:41 iter: 10740 total_loss: 2.554 loss_box2d_reg: 0.1767 loss_box3d_depth: 0.665 loss_box3d_proj_ctr: 0.1156 loss_box3d_quat: 0.1765 loss_box3d_size: 0.09402 loss_centerness: 0.6178 loss_cls: 0.1295 loss_conf3d: 0.5823 lr: 0.002 max_mem: 5634M
[03/18 11:05:29 d2.utils.events]: eta: 3:59:30 iter: 10760 total_loss: 2.512 loss_box2d_reg: 0.1778 loss_box3d_depth: 0.6036 loss_box3d_proj_ctr: 0.114 loss_box3d_quat: 0.1851 loss_box3d_size: 0.09464 loss_centerness: 0.6198 loss_cls: 0.1348 loss_conf3d: 0.5755 lr: 0.002 max_mem: 5634M
[03/18 11:05:48 d2.utils.events]: eta: 3:42:27 iter: 10780 total_loss: 2.496 loss_box2d_reg: 0.1781 loss_box3d_depth: 0.6142 loss_box3d_proj_ctr: 0.1124 loss_box3d_quat: 0.1691 loss_box3d_size: 0.09096 loss_centerness: 0.6187 loss_cls: 0.1309 loss_conf3d: 0.5764 lr: 0.002 max_mem: 5634M
[03/18 11:06:08 d2.utils.events]: eta: 3:59:14 iter: 10800 total_loss: 2.551 loss_box2d_reg: 0.1776 loss_box3d_depth: 0.6562 loss_box3d_proj_ctr: 0.1167 loss_box3d_quat: 0.175 loss_box3d_size: 0.09136 loss_centerness: 0.6186 loss_cls: 0.1328 loss_conf3d: 0.5797 lr: 0.002 max_mem: 5634M
[03/18 11:06:28 d2.utils.events]: eta: 3:47:52 iter: 10820 total_loss: 2.569 loss_box2d_reg: 0.1777 loss_box3d_depth: 0.65 loss_box3d_proj_ctr: 0.1172 loss_box3d_quat: 0.1801 loss_box3d_size: 0.09291 loss_centerness: 0.6184 loss_cls: 0.1327 loss_conf3d: 0.5875 lr: 0.002 max_mem: 5634M
[03/18 11:06:47 d2.utils.events]: eta: 3:49:42 iter: 10840 total_loss: 2.649 loss_box2d_reg: 0.1765 loss_box3d_depth: 0.7099 loss_box3d_proj_ctr: 0.1177 loss_box3d_quat: 0.18 loss_box3d_size: 0.09322 loss_centerness: 0.6186 loss_cls: 0.1322 loss_conf3d: 0.5954 lr: 0.002 max_mem: 5634M
[03/18 11:07:06 d2.utils.events]: eta: 3:47:19 iter: 10860 total_loss: 2.523 loss_box2d_reg: 0.1798 loss_box3d_depth: 0.6402 loss_box3d_proj_ctr: 0.1155 loss_box3d_quat: 0.1719 loss_box3d_size: 0.09398 loss_centerness: 0.619 loss_cls: 0.1328 loss_conf3d: 0.5809 lr: 0.002 max_mem: 5634M
[03/18 11:07:25 d2.utils.events]: eta: 3:42:02 iter: 10880 total_loss: 2.532 loss_box2d_reg: 0.1784 loss_box3d_depth: 0.6318 loss_box3d_proj_ctr: 0.1175 loss_box3d_quat: 0.1746 loss_box3d_size: 0.0911 loss_centerness: 0.6188 loss_cls: 0.1352 loss_conf3d: 0.5751 lr: 0.002 max_mem: 5634M
[03/18 11:07:44 d2.utils.events]: eta: 3:40:16 iter: 10900 total_loss: 2.528 loss_box2d_reg: 0.1769 loss_box3d_depth: 0.6252 loss_box3d_proj_ctr: 0.1161 loss_box3d_quat: 0.1733 loss_box3d_size: 0.0923 loss_centerness: 0.6182 loss_cls: 0.1311 loss_conf3d: 0.5721 lr: 0.002 max_mem: 5634M
[03/18 11:08:04 d2.utils.events]: eta: 3:48:32 iter: 10920 total_loss: 2.44 loss_box2d_reg: 0.1775 loss_box3d_depth: 0.5895 loss_box3d_proj_ctr: 0.1122 loss_box3d_quat: 0.1711 loss_box3d_size: 0.0924 loss_centerness: 0.6179 loss_cls: 0.1318 loss_conf3d: 0.5667 lr: 0.002 max_mem: 5634M
[03/18 11:08:23 d2.utils.events]: eta: 3:42:03 iter: 10940 total_loss: 2.452 loss_box2d_reg: 0.1778 loss_box3d_depth: 0.5872 loss_box3d_proj_ctr: 0.1118 loss_box3d_quat: 0.1685 loss_box3d_size: 0.09063 loss_centerness: 0.6187 loss_cls: 0.1328 loss_conf3d: 0.5673 lr: 0.002 max_mem: 5634M
[03/18 11:08:41 d2.utils.events]: eta: 3:40:14 iter: 10960 total_loss: 2.496 loss_box2d_reg: 0.1781 loss_box3d_depth: 0.5938 loss_box3d_proj_ctr: 0.1152 loss_box3d_quat: 0.178 loss_box3d_size: 0.09131 loss_centerness: 0.6179 loss_cls: 0.1328 loss_conf3d: 0.5712 lr: 0.002 max_mem: 5634M
[03/18 11:09:00 d2.utils.events]: eta: 3:43:25 iter: 10980 total_loss: 2.537 loss_box2d_reg: 0.1723 loss_box3d_depth: 0.6436 loss_box3d_proj_ctr: 0.1116 loss_box3d_quat: 0.1813 loss_box3d_size: 0.09119 loss_centerness: 0.618 loss_cls: 0.1289 loss_conf3d: 0.5882 lr: 0.002 max_mem: 5634M
[03/18 11:09:20 d2.utils.events]: eta: 3:42:30 iter: 11000 total_loss: 2.496 loss_box2d_reg: 0.1749 loss_box3d_depth: 0.5984 loss_box3d_proj_ctr: 0.1143 loss_box3d_quat: 0.1798 loss_box3d_size: 0.09274 loss_centerness: 0.6176 loss_cls: 0.1308 loss_conf3d: 0.5739 lr: 0.002 max_mem: 5634M
[03/18 11:09:45 d2.utils.events]: eta: 4:52:35 iter: 11020 total_loss: 2.54 loss_box2d_reg: 0.1802 loss_box3d_depth: 0.6448 loss_box3d_proj_ctr: 0.1185 loss_box3d_quat: 0.173 loss_box3d_size: 0.09154 loss_centerness: 0.619 loss_cls: 0.13 loss_conf3d: 0.5797 lr: 0.002 max_mem: 5634M
[03/18 11:10:04 d2.utils.events]: eta: 3:47:33 iter: 11040 total_loss: 2.596 loss_box2d_reg: 0.1789 loss_box3d_depth: 0.7077 loss_box3d_proj_ctr: 0.1096 loss_box3d_quat: 0.168 loss_box3d_size: 0.09084 loss_centerness: 0.6184 loss_cls: 0.1306 loss_conf3d: 0.5918 lr: 0.002 max_mem: 5634M
[03/18 11:10:24 d2.utils.events]: eta: 3:49:03 iter: 11060 total_loss: 2.783 loss_box2d_reg: 0.1806 loss_box3d_depth: 0.8473 loss_box3d_proj_ctr: 0.1126 loss_box3d_quat: 0.1693 loss_box3d_size: 0.09281 loss_centerness: 0.6188 loss_cls: 0.1331 loss_conf3d: 0.6178 lr: 0.002 max_mem: 5634M
[03/18 11:10:42 d2.utils.events]: eta: 3:34:45 iter: 11080 total_loss: 2.595 loss_box2d_reg: 0.1784 loss_box3d_depth: 0.6642 loss_box3d_proj_ctr: 0.1188 loss_box3d_quat: 0.1861 loss_box3d_size: 0.09478 loss_centerness: 0.6187 loss_cls: 0.1324 loss_conf3d: 0.5815 lr: 0.002 max_mem: 5634M
[03/18 11:11:01 d2.utils.events]: eta: 3:34:18 iter: 11100 total_loss: 2.491 loss_box2d_reg: 0.1826 loss_box3d_depth: 0.6166 loss_box3d_proj_ctr: 0.1127 loss_box3d_quat: 0.1629 loss_box3d_size: 0.08968 loss_centerness: 0.6195 loss_cls: 0.1286 loss_conf3d: 0.5737 lr: 0.002 max_mem: 5634M
[03/18 11:11:20 d2.utils.events]: eta: 3:36:13 iter: 11120 total_loss: 2.502 loss_box2d_reg: 0.1733 loss_box3d_depth: 0.622 loss_box3d_proj_ctr: 0.1121 loss_box3d_quat: 0.1731 loss_box3d_size: 0.09176 loss_centerness: 0.6176 loss_cls: 0.1315 loss_conf3d: 0.5716 lr: 0.002 max_mem: 5634M
[03/18 11:11:38 d2.utils.events]: eta: 3:36:39 iter: 11140 total_loss: 2.507 loss_box2d_reg: 0.1803 loss_box3d_depth: 0.6196 loss_box3d_proj_ctr: 0.1145 loss_box3d_quat: 0.1679 loss_box3d_size: 0.09195 loss_centerness: 0.6183 loss_cls: 0.1309 loss_conf3d: 0.5742 lr: 0.002 max_mem: 5634M
[03/18 11:11:57 d2.utils.events]: eta: 3:39:00 iter: 11160 total_loss: 2.453 loss_box2d_reg: 0.1724 loss_box3d_depth: 0.5984 loss_box3d_proj_ctr: 0.1083 loss_box3d_quat: 0.1673 loss_box3d_size: 0.08934 loss_centerness: 0.618 loss_cls: 0.1272 loss_conf3d: 0.5681 lr: 0.002 max_mem: 5634M
[03/18 11:12:16 d2.utils.events]: eta: 3:39:10 iter: 11180 total_loss: 2.482 loss_box2d_reg: 0.1751 loss_box3d_depth: 0.6108 loss_box3d_proj_ctr: 0.1108 loss_box3d_quat: 0.17 loss_box3d_size: 0.09118 loss_centerness: 0.618 loss_cls: 0.1301 loss_conf3d: 0.5702 lr: 0.002 max_mem: 5634M
[03/18 11:12:35 d2.utils.events]: eta: 3:37:19 iter: 11200 total_loss: 2.5 loss_box2d_reg: 0.1747 loss_box3d_depth: 0.644 loss_box3d_proj_ctr: 0.119 loss_box3d_quat: 0.1722 loss_box3d_size: 0.09141 loss_centerness: 0.6181 loss_cls: 0.1331 loss_conf3d: 0.5819 lr: 0.002 max_mem: 5634M
[03/18 11:12:54 d2.utils.events]: eta: 3:33:09 iter: 11220 total_loss: 2.402 loss_box2d_reg: 0.1702 loss_box3d_depth: 0.5748 loss_box3d_proj_ctr: 0.1091 loss_box3d_quat: 0.1618 loss_box3d_size: 0.08999 loss_centerness: 0.6178 loss_cls: 0.1245 loss_conf3d: 0.5611 lr: 0.002 max_mem: 5634M
[03/18 11:13:14 d2.utils.events]: eta: 3:49:13 iter: 11240 total_loss: 2.429 loss_box2d_reg: 0.1762 loss_box3d_depth: 0.5642 loss_box3d_proj_ctr: 0.1105 loss_box3d_quat: 0.1663 loss_box3d_size: 0.09021 loss_centerness: 0.6185 loss_cls: 0.1297 loss_conf3d: 0.5621 lr: 0.002 max_mem: 5634M
[03/18 11:13:33 d2.utils.events]: eta: 3:34:16 iter: 11260 total_loss: 2.456 loss_box2d_reg: 0.1761 loss_box3d_depth: 0.587 loss_box3d_proj_ctr: 0.113 loss_box3d_quat: 0.1855 loss_box3d_size: 0.09195 loss_centerness: 0.6192 loss_cls: 0.1304 loss_conf3d: 0.5655 lr: 0.002 max_mem: 5634M
[03/18 11:13:52 d2.utils.events]: eta: 3:41:26 iter: 11280 total_loss: 2.501 loss_box2d_reg: 0.1755 loss_box3d_depth: 0.6223 loss_box3d_proj_ctr: 0.1102 loss_box3d_quat: 0.1835 loss_box3d_size: 0.08942 loss_centerness: 0.6179 loss_cls: 0.1335 loss_conf3d: 0.5736 lr: 0.002 max_mem: 5634M
[03/18 11:14:12 d2.utils.events]: eta: 3:44:05 iter: 11300 total_loss: 2.527 loss_box2d_reg: 0.1772 loss_box3d_depth: 0.6474 loss_box3d_proj_ctr: 0.1131 loss_box3d_quat: 0.1833 loss_box3d_size: 0.09091 loss_centerness: 0.6188 loss_cls: 0.1302 loss_conf3d: 0.5781 lr: 0.002 max_mem: 5634M
[03/18 11:14:30 d2.utils.events]: eta: 3:28:44 iter: 11320 total_loss: 2.604 loss_box2d_reg: 0.1765 loss_box3d_depth: 0.6834 loss_box3d_proj_ctr: 0.1149 loss_box3d_quat: 0.1768 loss_box3d_size: 0.09339 loss_centerness: 0.6177 loss_cls: 0.1296 loss_conf3d: 0.5836 lr: 0.002 max_mem: 5634M
[03/18 11:14:48 d2.utils.events]: eta: 3:30:39 iter: 11340 total_loss: 2.564 loss_box2d_reg: 0.1749 loss_box3d_depth: 0.6623 loss_box3d_proj_ctr: 0.1117 loss_box3d_quat: 0.1704 loss_box3d_size: 0.08615 loss_centerness: 0.6181 loss_cls: 0.1293 loss_conf3d: 0.5907 lr: 0.002 max_mem: 5634M
[03/18 11:15:07 d2.utils.events]: eta: 3:30:04 iter: 11360 total_loss: 2.552 loss_box2d_reg: 0.1755 loss_box3d_depth: 0.6506 loss_box3d_proj_ctr: 0.1084 loss_box3d_quat: 0.174 loss_box3d_size: 0.08931 loss_centerness: 0.6175 loss_cls: 0.1287 loss_conf3d: 0.5842 lr: 0.002 max_mem: 5634M
[03/18 11:15:26 d2.utils.events]: eta: 3:33:19 iter: 11380 total_loss: 2.509 loss_box2d_reg: 0.1765 loss_box3d_depth: 0.632 loss_box3d_proj_ctr: 0.1162 loss_box3d_quat: 0.1704 loss_box3d_size: 0.09166 loss_centerness: 0.6185 loss_cls: 0.1305 loss_conf3d: 0.5786 lr: 0.002 max_mem: 5634M
[03/18 11:15:45 d2.utils.events]: eta: 3:34:50 iter: 11400 total_loss: 2.446 loss_box2d_reg: 0.1711 loss_box3d_depth: 0.5879 loss_box3d_proj_ctr: 0.1105 loss_box3d_quat: 0.1658 loss_box3d_size: 0.0918 loss_centerness: 0.6176 loss_cls: 0.1283 loss_conf3d: 0.5722 lr: 0.002 max_mem: 5634M
[03/18 11:16:04 d2.utils.events]: eta: 3:35:01 iter: 11420 total_loss: 2.462 loss_box2d_reg: 0.1771 loss_box3d_depth: 0.6011 loss_box3d_proj_ctr: 0.1154 loss_box3d_quat: 0.1698 loss_box3d_size: 0.09141 loss_centerness: 0.618 loss_cls: 0.1296 loss_conf3d: 0.5728 lr: 0.002 max_mem: 5634M
[03/18 11:16:22 d2.utils.events]: eta: 3:27:16 iter: 11440 total_loss: 2.627 loss_box2d_reg: 0.1778 loss_box3d_depth: 0.7153 loss_box3d_proj_ctr: 0.1082 loss_box3d_quat: 0.1721 loss_box3d_size: 0.08833 loss_centerness: 0.618 loss_cls: 0.1266 loss_conf3d: 0.6015 lr: 0.002 max_mem: 5634M
[03/18 11:16:41 d2.utils.events]: eta: 3:29:04 iter: 11460 total_loss: 2.588 loss_box2d_reg: 0.1725 loss_box3d_depth: 0.7176 loss_box3d_proj_ctr: 0.1112 loss_box3d_quat: 0.1685 loss_box3d_size: 0.0885 loss_centerness: 0.6178 loss_cls: 0.1276 loss_conf3d: 0.5908 lr: 0.002 max_mem: 5634M
[03/18 11:17:00 d2.utils.events]: eta: 3:33:55 iter: 11480 total_loss: 2.455 loss_box2d_reg: 0.1734 loss_box3d_depth: 0.6036 loss_box3d_proj_ctr: 0.1118 loss_box3d_quat: 0.1688 loss_box3d_size: 0.09049 loss_centerness: 0.6185 loss_cls: 0.1266 loss_conf3d: 0.5694 lr: 0.002 max_mem: 5634M
[03/18 11:17:18 d2.utils.events]: eta: 3:33:18 iter: 11500 total_loss: 2.389 loss_box2d_reg: 0.1741 loss_box3d_depth: 0.5548 loss_box3d_proj_ctr: 0.1108 loss_box3d_quat: 0.1669 loss_box3d_size: 0.08887 loss_centerness: 0.6181 loss_cls: 0.1259 loss_conf3d: 0.5619 lr: 0.002 max_mem: 5634M
[03/18 11:17:37 d2.utils.events]: eta: 3:31:13 iter: 11520 total_loss: 2.448 loss_box2d_reg: 0.1752 loss_box3d_depth: 0.603 loss_box3d_proj_ctr: 0.1098 loss_box3d_quat: 0.1626 loss_box3d_size: 0.09174 loss_centerness: 0.6183 loss_cls: 0.1239 loss_conf3d: 0.5644 lr: 0.002 max_mem: 5634M
[03/18 11:17:57 d2.utils.events]: eta: 3:38:15 iter: 11540 total_loss: 2.351 loss_box2d_reg: 0.1712 loss_box3d_depth: 0.5464 loss_box3d_proj_ctr: 0.1072 loss_box3d_quat: 0.157 loss_box3d_size: 0.08534 loss_centerness: 0.6175 loss_cls: 0.1255 loss_conf3d: 0.5522 lr: 0.002 max_mem: 5634M
[03/18 11:18:15 d2.utils.events]: eta: 3:27:41 iter: 11560 total_loss: 2.445 loss_box2d_reg: 0.1749 loss_box3d_depth: 0.5958 loss_box3d_proj_ctr: 0.1101 loss_box3d_quat: 0.1696 loss_box3d_size: 0.08857 loss_centerness: 0.6179 loss_cls: 0.1307 loss_conf3d: 0.5662 lr: 0.002 max_mem: 5634M
[03/18 11:18:34 d2.utils.events]: eta: 3:27:05 iter: 11580 total_loss: 2.413 loss_box2d_reg: 0.1743 loss_box3d_depth: 0.5601 loss_box3d_proj_ctr: 0.1093 loss_box3d_quat: 0.1729 loss_box3d_size: 0.08897 loss_centerness: 0.6177 loss_cls: 0.125 loss_conf3d: 0.5609 lr: 0.002 max_mem: 5634M
[03/18 11:18:52 d2.utils.events]: eta: 3:28:04 iter: 11600 total_loss: 2.512 loss_box2d_reg: 0.1763 loss_box3d_depth: 0.6291 loss_box3d_proj_ctr: 0.1119 loss_box3d_quat: 0.1678 loss_box3d_size: 0.08959 loss_centerness: 0.619 loss_cls: 0.1284 loss_conf3d: 0.5781 lr: 0.002 max_mem: 5634M
[03/18 11:19:11 d2.utils.events]: eta: 3:31:30 iter: 11620 total_loss: 2.577 loss_box2d_reg: 0.1718 loss_box3d_depth: 0.6894 loss_box3d_proj_ctr: 0.1107 loss_box3d_quat: 0.166 loss_box3d_size: 0.08997 loss_centerness: 0.6169 loss_cls: 0.125 loss_conf3d: 0.5947 lr: 0.002 max_mem: 5634M
[03/18 11:19:30 d2.utils.events]: eta: 3:28:30 iter: 11640 total_loss: 2.498 loss_box2d_reg: 0.1761 loss_box3d_depth: 0.6456 loss_box3d_proj_ctr: 0.1129 loss_box3d_quat: 0.1657 loss_box3d_size: 0.08925 loss_centerness: 0.6177 loss_cls: 0.1268 loss_conf3d: 0.5767 lr: 0.002 max_mem: 5634M
[03/18 11:19:48 d2.utils.events]: eta: 3:22:55 iter: 11660 total_loss: 2.468 loss_box2d_reg: 0.1758 loss_box3d_depth: 0.6038 loss_box3d_proj_ctr: 0.1117 loss_box3d_quat: 0.1676 loss_box3d_size: 0.08918 loss_centerness: 0.6177 loss_cls: 0.1267 loss_conf3d: 0.5709 lr: 0.002 max_mem: 5634M
[03/18 11:20:07 d2.utils.events]: eta: 3:22:24 iter: 11680 total_loss: 2.448 loss_box2d_reg: 0.1714 loss_box3d_depth: 0.5699 loss_box3d_proj_ctr: 0.1077 loss_box3d_quat: 0.165 loss_box3d_size: 0.08869 loss_centerness: 0.6179 loss_cls: 0.1251 loss_conf3d: 0.5599 lr: 0.002 max_mem: 5634M
[03/18 11:20:26 d2.utils.events]: eta: 3:35:50 iter: 11700 total_loss: 2.408 loss_box2d_reg: 0.172 loss_box3d_depth: 0.558 loss_box3d_proj_ctr: 0.11 loss_box3d_quat: 0.161 loss_box3d_size: 0.08959 loss_centerness: 0.618 loss_cls: 0.1251 loss_conf3d: 0.5586 lr: 0.002 max_mem: 5634M
[03/18 11:20:45 d2.utils.events]: eta: 3:28:00 iter: 11720 total_loss: 2.406 loss_box2d_reg: 0.1734 loss_box3d_depth: 0.5705 loss_box3d_proj_ctr: 0.1068 loss_box3d_quat: 0.1541 loss_box3d_size: 0.08975 loss_centerness: 0.6173 loss_cls: 0.1262 loss_conf3d: 0.5564 lr: 0.002 max_mem: 5634M
[03/18 11:21:04 d2.utils.events]: eta: 3:27:07 iter: 11740 total_loss: 2.372 loss_box2d_reg: 0.1698 loss_box3d_depth: 0.5347 loss_box3d_proj_ctr: 0.1088 loss_box3d_quat: 0.1648 loss_box3d_size: 0.08859 loss_centerness: 0.6177 loss_cls: 0.1268 loss_conf3d: 0.5553 lr: 0.002 max_mem: 5634M
[03/18 11:21:23 d2.utils.events]: eta: 3:32:41 iter: 11760 total_loss: 2.443 loss_box2d_reg: 0.1709 loss_box3d_depth: 0.5921 loss_box3d_proj_ctr: 0.1093 loss_box3d_quat: 0.1646 loss_box3d_size: 0.08739 loss_centerness: 0.6172 loss_cls: 0.1265 loss_conf3d: 0.5768 lr: 0.002 max_mem: 5634M
[03/18 11:21:43 d2.utils.events]: eta: 3:37:51 iter: 11780 total_loss: 2.504 loss_box2d_reg: 0.1697 loss_box3d_depth: 0.638 loss_box3d_proj_ctr: 0.107 loss_box3d_quat: 0.1573 loss_box3d_size: 0.08517 loss_centerness: 0.6166 loss_cls: 0.1219 loss_conf3d: 0.5802 lr: 0.002 max_mem: 5634M
[03/18 11:22:01 d2.utils.events]: eta: 3:20:38 iter: 11800 total_loss: 2.457 loss_box2d_reg: 0.1681 loss_box3d_depth: 0.6279 loss_box3d_proj_ctr: 0.1127 loss_box3d_quat: 0.1597 loss_box3d_size: 0.09071 loss_centerness: 0.617 loss_cls: 0.1222 loss_conf3d: 0.5777 lr: 0.002 max_mem: 5634M
[03/18 11:22:20 d2.utils.events]: eta: 3:24:21 iter: 11820 total_loss: 2.423 loss_box2d_reg: 0.1682 loss_box3d_depth: 0.5948 loss_box3d_proj_ctr: 0.1106 loss_box3d_quat: 0.1661 loss_box3d_size: 0.09124 loss_centerness: 0.6169 loss_cls: 0.1216 loss_conf3d: 0.5652 lr: 0.002 max_mem: 5634M
[03/18 11:22:38 d2.utils.events]: eta: 3:22:45 iter: 11840 total_loss: 2.445 loss_box2d_reg: 0.1716 loss_box3d_depth: 0.6111 loss_box3d_proj_ctr: 0.1013 loss_box3d_quat: 0.1551 loss_box3d_size: 0.08628 loss_centerness: 0.6177 loss_cls: 0.1254 loss_conf3d: 0.5736 lr: 0.002 max_mem: 5634M
[03/18 11:22:57 d2.utils.events]: eta: 3:24:17 iter: 11860 total_loss: 2.528 loss_box2d_reg: 0.1729 loss_box3d_depth: 0.6728 loss_box3d_proj_ctr: 0.1091 loss_box3d_quat: 0.1632 loss_box3d_size: 0.08775 loss_centerness: 0.6178 loss_cls: 0.1276 loss_conf3d: 0.5819 lr: 0.002 max_mem: 5634M
[03/18 11:23:15 d2.utils.events]: eta: 3:17:58 iter: 11880 total_loss: 2.6 loss_box2d_reg: 0.1779 loss_box3d_depth: 0.7407 loss_box3d_proj_ctr: 0.1072 loss_box3d_quat: 0.1641 loss_box3d_size: 0.08926 loss_centerness: 0.6181 loss_cls: 0.1278 loss_conf3d: 0.591 lr: 0.002 max_mem: 5634M
[03/18 11:23:34 d2.utils.events]: eta: 3:26:58 iter: 11900 total_loss: 2.546 loss_box2d_reg: 0.1752 loss_box3d_depth: 0.6654 loss_box3d_proj_ctr: 0.109 loss_box3d_quat: 0.1724 loss_box3d_size: 0.08944 loss_centerness: 0.6184 loss_cls: 0.1257 loss_conf3d: 0.5759 lr: 0.002 max_mem: 5634M
[03/18 11:23:52 d2.utils.events]: eta: 3:22:09 iter: 11920 total_loss: 2.453 loss_box2d_reg: 0.1717 loss_box3d_depth: 0.5903 loss_box3d_proj_ctr: 0.1096 loss_box3d_quat: 0.1574 loss_box3d_size: 0.08813 loss_centerness: 0.6176 loss_cls: 0.1237 loss_conf3d: 0.5654 lr: 0.002 max_mem: 5634M
[03/18 11:24:10 d2.utils.events]: eta: 3:15:58 iter: 11940 total_loss: 2.416 loss_box2d_reg: 0.1723 loss_box3d_depth: 0.5797 loss_box3d_proj_ctr: 0.1095 loss_box3d_quat: 0.1661 loss_box3d_size: 0.08819 loss_centerness: 0.6178 loss_cls: 0.1228 loss_conf3d: 0.5601 lr: 0.002 max_mem: 5634M
[03/18 11:24:29 d2.utils.events]: eta: 3:24:07 iter: 11960 total_loss: 2.411 loss_box2d_reg: 0.1706 loss_box3d_depth: 0.5801 loss_box3d_proj_ctr: 0.1081 loss_box3d_quat: 0.1662 loss_box3d_size: 0.08856 loss_centerness: 0.6169 loss_cls: 0.1218 loss_conf3d: 0.5634 lr: 0.002 max_mem: 5634M
[03/18 11:24:47 d2.utils.events]: eta: 3:16:15 iter: 11980 total_loss: 2.395 loss_box2d_reg: 0.1686 loss_box3d_depth: 0.5595 loss_box3d_proj_ctr: 0.1062 loss_box3d_quat: 0.1563 loss_box3d_size: 0.08873 loss_centerness: 0.6165 loss_cls: 0.1206 loss_conf3d: 0.5608 lr: 0.002 max_mem: 5634M
[03/18 11:25:06 d2.utils.events]: eta: 3:26:08 iter: 12000 total_loss: 2.397 loss_box2d_reg: 0.1709 loss_box3d_depth: 0.5667 loss_box3d_proj_ctr: 0.1071 loss_box3d_quat: 0.1609 loss_box3d_size: 0.0853 loss_centerness: 0.6186 loss_cls: 0.1268 loss_conf3d: 0.5607 lr: 0.002 max_mem: 5634M
[03/18 11:25:13 fvcore.common.checkpoint]: Saving checkpoint to ./model_0011999.pth
[03/18 11:25:13 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 11:25:13 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 11:25:14 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 11:25:14 tridet.data.build]: Using test sampler InferenceSampler
[03/18 11:25:14 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 11:25:24 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0011 s/iter. Inference: 0.3317 s/iter. Eval: 0.4896 s/iter. Total: 0.8225 s/iter. ETA=0:00:30
[03/18 11:25:30 d2.evaluation.evaluator]: Inference done 18/48. Dataloading: 0.0011 s/iter. Inference: 0.3198 s/iter. Eval: 0.5006 s/iter. Total: 0.8216 s/iter. ETA=0:00:24
[03/18 11:25:36 d2.evaluation.evaluator]: Inference done 25/48. Dataloading: 0.0011 s/iter. Inference: 0.3187 s/iter. Eval: 0.4990 s/iter. Total: 0.8190 s/iter. ETA=0:00:18
[03/18 11:25:42 d2.evaluation.evaluator]: Inference done 32/48. Dataloading: 0.0011 s/iter. Inference: 0.3159 s/iter. Eval: 0.4986 s/iter. Total: 0.8157 s/iter. ETA=0:00:13
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 11:25:47 d2.evaluation.evaluator]: Inference done 38/48. Dataloading: 0.0011 s/iter. Inference: 0.3132 s/iter. Eval: 0.5283 s/iter. Total: 0.8427 s/iter. ETA=0:00:08
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 11:25:53 d2.evaluation.evaluator]: Inference done 46/48. Dataloading: 0.0010 s/iter. Inference: 0.3091 s/iter. Eval: 0.5054 s/iter. Total: 0.8156 s/iter. ETA=0:00:01
[03/18 11:25:54 d2.evaluation.evaluator]: Total inference time: 0:00:34.549272 (0.803471 s / iter per device, on 8 devices)
[03/18 11:25:54 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.303153 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 11:25:55 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 11:25:55 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0012000/kitti_3d_val/coco_instances_results.json
[03/18 11:25:56 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.16s)
creating index...
index created!
[03/18 11:25:57 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 11:25:58 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.69 seconds.
[03/18 11:25:59 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 11:25:59 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.44 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.145
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.274
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.141
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.076
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.142
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.228
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.143
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.280
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.306
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.133
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.293
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.479
[03/18 11:25:59 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.504 27.378 14.067 7.590 14.191 22.756
[03/18 11:25:59 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 43.169 Pedestrian 14.938 Cyclist 2.561
Van 8.333 Truck 3.519
[03/18 11:26:25 tridet]: Running prediction visualizer: d2_visualizer
[03/18 11:26:27 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.30it/s][03/18 11:26:30 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.43it/s][03/18 11:26:46 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 11:26:46 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.5042
kitti_3d_val/bbox/AP50 27.3782
kitti_3d_val/bbox/AP75 14.067
kitti_3d_val/bbox/APs 7.58952
kitti_3d_val/bbox/APm 14.191
kitti_3d_val/bbox/APl 22.7562
kitti_3d_val/bbox/AP-Car 43.1689
kitti_3d_val/bbox/AP-Pedestrian 14.9385
kitti_3d_val/bbox/AP-Cyclist 2.56051
kitti_3d_val/bbox/AP-Van 8.33344
kitti_3d_val/bbox/AP-Truck 3.51944
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 20.5899
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 2.07973
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 14.6552
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 1.3868
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 12.6569
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.06769
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.321166
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.267138
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.223817
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0029554
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 2.88247
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.00538793
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 1.14689
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.739244
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 0.688872
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.0347222
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.0207138
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 25.7599
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 5.45573
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 18.5126
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 3.26041
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 16.3821
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 2.82479
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 0.655303
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.588974
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.542885
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.00965489
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.00457457
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.00489237
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 5.59475
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.729084
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 2.57641
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.0460455
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.49743
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0498968
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 1.10243
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.0964912
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.10906
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 11:27:05 d2.utils.events]: eta: 21:19:09 iter: 12020 total_loss: 2.44 loss_box2d_reg: 0.1704 loss_box3d_depth: 0.6088 loss_box3d_proj_ctr: 0.1065 loss_box3d_quat: 0.1565 loss_box3d_size: 0.08871 loss_centerness: 0.6173 loss_cls: 0.1226 loss_conf3d: 0.5716 lr: 0.002 max_mem: 5634M
[03/18 11:27:22 d2.utils.events]: eta: 3:12:22 iter: 12040 total_loss: 2.417 loss_box2d_reg: 0.1718 loss_box3d_depth: 0.5846 loss_box3d_proj_ctr: 0.1095 loss_box3d_quat: 0.1653 loss_box3d_size: 0.08705 loss_centerness: 0.6172 loss_cls: 0.1227 loss_conf3d: 0.5631 lr: 0.002 max_mem: 5634M
[03/18 11:27:40 d2.utils.events]: eta: 3:14:33 iter: 12060 total_loss: 2.417 loss_box2d_reg: 0.166 loss_box3d_depth: 0.5965 loss_box3d_proj_ctr: 0.1065 loss_box3d_quat: 0.1562 loss_box3d_size: 0.0871 loss_centerness: 0.6174 loss_cls: 0.1226 loss_conf3d: 0.5616 lr: 0.002 max_mem: 5634M
[03/18 11:27:59 d2.utils.events]: eta: 3:24:32 iter: 12080 total_loss: 2.383 loss_box2d_reg: 0.1674 loss_box3d_depth: 0.5638 loss_box3d_proj_ctr: 0.1027 loss_box3d_quat: 0.1613 loss_box3d_size: 0.0882 loss_centerness: 0.618 loss_cls: 0.1232 loss_conf3d: 0.5657 lr: 0.002 max_mem: 5634M
[03/18 11:28:17 d2.utils.events]: eta: 3:13:20 iter: 12100 total_loss: 2.494 loss_box2d_reg: 0.1693 loss_box3d_depth: 0.6078 loss_box3d_proj_ctr: 0.1075 loss_box3d_quat: 0.1868 loss_box3d_size: 0.08748 loss_centerness: 0.6176 loss_cls: 0.1238 loss_conf3d: 0.5779 lr: 0.002 max_mem: 5634M
[03/18 11:28:35 d2.utils.events]: eta: 3:12:13 iter: 12120 total_loss: 2.455 loss_box2d_reg: 0.1724 loss_box3d_depth: 0.5817 loss_box3d_proj_ctr: 0.1084 loss_box3d_quat: 0.175 loss_box3d_size: 0.08727 loss_centerness: 0.6182 loss_cls: 0.124 loss_conf3d: 0.5713 lr: 0.002 max_mem: 5634M
[03/18 11:28:54 d2.utils.events]: eta: 3:17:31 iter: 12140 total_loss: 2.592 loss_box2d_reg: 0.1774 loss_box3d_depth: 0.684 loss_box3d_proj_ctr: 0.1146 loss_box3d_quat: 0.2003 loss_box3d_size: 0.09115 loss_centerness: 0.6192 loss_cls: 0.1313 loss_conf3d: 0.5855 lr: 0.002 max_mem: 5634M
[03/18 11:29:12 d2.utils.events]: eta: 3:16:57 iter: 12160 total_loss: 2.46 loss_box2d_reg: 0.172 loss_box3d_depth: 0.5987 loss_box3d_proj_ctr: 0.1098 loss_box3d_quat: 0.1739 loss_box3d_size: 0.0887 loss_centerness: 0.6177 loss_cls: 0.126 loss_conf3d: 0.5696 lr: 0.002 max_mem: 5634M
[03/18 11:29:30 d2.utils.events]: eta: 3:15:25 iter: 12180 total_loss: 2.377 loss_box2d_reg: 0.1695 loss_box3d_depth: 0.5569 loss_box3d_proj_ctr: 0.1054 loss_box3d_quat: 0.157 loss_box3d_size: 0.08534 loss_centerness: 0.6168 loss_cls: 0.1237 loss_conf3d: 0.5527 lr: 0.002 max_mem: 5634M
[03/18 11:29:48 d2.utils.events]: eta: 3:05:32 iter: 12200 total_loss: 2.617 loss_box2d_reg: 0.1701 loss_box3d_depth: 0.7113 loss_box3d_proj_ctr: 0.1068 loss_box3d_quat: 0.1594 loss_box3d_size: 0.08849 loss_centerness: 0.6185 loss_cls: 0.1243 loss_conf3d: 0.5898 lr: 0.002 max_mem: 5634M
[03/18 11:30:06 d2.utils.events]: eta: 3:10:01 iter: 12220 total_loss: 2.568 loss_box2d_reg: 0.1735 loss_box3d_depth: 0.7004 loss_box3d_proj_ctr: 0.1082 loss_box3d_quat: 0.1697 loss_box3d_size: 0.08598 loss_centerness: 0.6183 loss_cls: 0.1257 loss_conf3d: 0.5917 lr: 0.002 max_mem: 5634M
[03/18 11:30:24 d2.utils.events]: eta: 3:15:43 iter: 12240 total_loss: 2.524 loss_box2d_reg: 0.172 loss_box3d_depth: 0.6497 loss_box3d_proj_ctr: 0.1095 loss_box3d_quat: 0.1609 loss_box3d_size: 0.0863 loss_centerness: 0.6176 loss_cls: 0.1258 loss_conf3d: 0.5786 lr: 0.002 max_mem: 5634M
[03/18 11:30:43 d2.utils.events]: eta: 3:17:38 iter: 12260 total_loss: 2.425 loss_box2d_reg: 0.1695 loss_box3d_depth: 0.5951 loss_box3d_proj_ctr: 0.1079 loss_box3d_quat: 0.1528 loss_box3d_size: 0.08843 loss_centerness: 0.6171 loss_cls: 0.1246 loss_conf3d: 0.5636 lr: 0.002 max_mem: 5634M
[03/18 11:31:02 d2.utils.events]: eta: 3:19:39 iter: 12280 total_loss: 2.403 loss_box2d_reg: 0.1685 loss_box3d_depth: 0.5872 loss_box3d_proj_ctr: 0.1067 loss_box3d_quat: 0.1563 loss_box3d_size: 0.08513 loss_centerness: 0.6166 loss_cls: 0.1223 loss_conf3d: 0.5627 lr: 0.002 max_mem: 5634M
[03/18 11:31:20 d2.utils.events]: eta: 3:13:31 iter: 12300 total_loss: 2.369 loss_box2d_reg: 0.1694 loss_box3d_depth: 0.5551 loss_box3d_proj_ctr: 0.1034 loss_box3d_quat: 0.1592 loss_box3d_size: 0.08615 loss_centerness: 0.6173 loss_cls: 0.1224 loss_conf3d: 0.5566 lr: 0.002 max_mem: 5634M
[03/18 11:31:38 d2.utils.events]: eta: 3:10:26 iter: 12320 total_loss: 2.426 loss_box2d_reg: 0.1675 loss_box3d_depth: 0.583 loss_box3d_proj_ctr: 0.1022 loss_box3d_quat: 0.1557 loss_box3d_size: 0.0879 loss_centerness: 0.6172 loss_cls: 0.1215 loss_conf3d: 0.5652 lr: 0.002 max_mem: 5634M
[03/18 11:31:56 d2.utils.events]: eta: 3:12:04 iter: 12340 total_loss: 2.405 loss_box2d_reg: 0.1726 loss_box3d_depth: 0.5515 loss_box3d_proj_ctr: 0.1089 loss_box3d_quat: 0.167 loss_box3d_size: 0.08721 loss_centerness: 0.6194 loss_cls: 0.1237 loss_conf3d: 0.5574 lr: 0.002 max_mem: 5634M
[03/18 11:32:14 d2.utils.events]: eta: 3:11:22 iter: 12360 total_loss: 2.374 loss_box2d_reg: 0.1718 loss_box3d_depth: 0.5565 loss_box3d_proj_ctr: 0.1078 loss_box3d_quat: 0.1568 loss_box3d_size: 0.0881 loss_centerness: 0.6188 loss_cls: 0.1238 loss_conf3d: 0.5563 lr: 0.002 max_mem: 5634M
[03/18 11:32:32 d2.utils.events]: eta: 3:04:25 iter: 12380 total_loss: 2.369 loss_box2d_reg: 0.168 loss_box3d_depth: 0.5468 loss_box3d_proj_ctr: 0.1067 loss_box3d_quat: 0.1563 loss_box3d_size: 0.08654 loss_centerness: 0.6174 loss_cls: 0.1218 loss_conf3d: 0.5566 lr: 0.002 max_mem: 5634M
[03/18 11:32:50 d2.utils.events]: eta: 3:09:55 iter: 12400 total_loss: 2.437 loss_box2d_reg: 0.1689 loss_box3d_depth: 0.5927 loss_box3d_proj_ctr: 0.1056 loss_box3d_quat: 0.1626 loss_box3d_size: 0.08953 loss_centerness: 0.617 loss_cls: 0.1242 loss_conf3d: 0.5654 lr: 0.002 max_mem: 5634M
[03/18 11:33:08 d2.utils.events]: eta: 3:06:50 iter: 12420 total_loss: 2.452 loss_box2d_reg: 0.1697 loss_box3d_depth: 0.6115 loss_box3d_proj_ctr: 0.1076 loss_box3d_quat: 0.1599 loss_box3d_size: 0.08516 loss_centerness: 0.6174 loss_cls: 0.1226 loss_conf3d: 0.5648 lr: 0.002 max_mem: 5634M
[03/18 11:33:26 d2.utils.events]: eta: 3:10:52 iter: 12440 total_loss: 2.446 loss_box2d_reg: 0.1734 loss_box3d_depth: 0.5994 loss_box3d_proj_ctr: 0.1067 loss_box3d_quat: 0.1571 loss_box3d_size: 0.08852 loss_centerness: 0.6178 loss_cls: 0.1252 loss_conf3d: 0.564 lr: 0.002 max_mem: 5634M
[03/18 11:33:43 d2.utils.events]: eta: 3:02:18 iter: 12460 total_loss: 2.442 loss_box2d_reg: 0.1692 loss_box3d_depth: 0.6077 loss_box3d_proj_ctr: 0.1108 loss_box3d_quat: 0.1666 loss_box3d_size: 0.08892 loss_centerness: 0.6167 loss_cls: 0.1225 loss_conf3d: 0.568 lr: 0.002 max_mem: 5634M
[03/18 11:34:01 d2.utils.events]: eta: 3:05:27 iter: 12480 total_loss: 2.436 loss_box2d_reg: 0.1716 loss_box3d_depth: 0.5845 loss_box3d_proj_ctr: 0.1034 loss_box3d_quat: 0.1625 loss_box3d_size: 0.0843 loss_centerness: 0.6183 loss_cls: 0.1245 loss_conf3d: 0.5717 lr: 0.002 max_mem: 5634M
[03/18 11:34:19 d2.utils.events]: eta: 3:09:59 iter: 12500 total_loss: 2.389 loss_box2d_reg: 0.1691 loss_box3d_depth: 0.5613 loss_box3d_proj_ctr: 0.1014 loss_box3d_quat: 0.1527 loss_box3d_size: 0.08589 loss_centerness: 0.6182 loss_cls: 0.122 loss_conf3d: 0.56 lr: 0.002 max_mem: 5634M
[03/18 11:34:38 d2.utils.events]: eta: 3:11:35 iter: 12520 total_loss: 2.502 loss_box2d_reg: 0.1678 loss_box3d_depth: 0.6697 loss_box3d_proj_ctr: 0.1056 loss_box3d_quat: 0.15 loss_box3d_size: 0.08706 loss_centerness: 0.617 loss_cls: 0.1223 loss_conf3d: 0.5858 lr: 0.002 max_mem: 5634M
[03/18 11:34:56 d2.utils.events]: eta: 3:14:04 iter: 12540 total_loss: 2.425 loss_box2d_reg: 0.1679 loss_box3d_depth: 0.591 loss_box3d_proj_ctr: 0.1043 loss_box3d_quat: 0.1599 loss_box3d_size: 0.08573 loss_centerness: 0.6172 loss_cls: 0.1206 loss_conf3d: 0.5667 lr: 0.002 max_mem: 5634M
[03/18 11:35:14 d2.utils.events]: eta: 3:06:30 iter: 12560 total_loss: 2.362 loss_box2d_reg: 0.166 loss_box3d_depth: 0.5615 loss_box3d_proj_ctr: 0.1055 loss_box3d_quat: 0.1497 loss_box3d_size: 0.08414 loss_centerness: 0.6178 loss_cls: 0.1223 loss_conf3d: 0.5569 lr: 0.002 max_mem: 5634M
[03/18 11:35:33 d2.utils.events]: eta: 3:09:11 iter: 12580 total_loss: 2.386 loss_box2d_reg: 0.167 loss_box3d_depth: 0.5912 loss_box3d_proj_ctr: 0.1047 loss_box3d_quat: 0.1445 loss_box3d_size: 0.08494 loss_centerness: 0.6167 loss_cls: 0.1199 loss_conf3d: 0.5642 lr: 0.002 max_mem: 5634M
[03/18 11:35:51 d2.utils.events]: eta: 3:11:02 iter: 12600 total_loss: 2.424 loss_box2d_reg: 0.1672 loss_box3d_depth: 0.6065 loss_box3d_proj_ctr: 0.1022 loss_box3d_quat: 0.1585 loss_box3d_size: 0.08768 loss_centerness: 0.6175 loss_cls: 0.1201 loss_conf3d: 0.5674 lr: 0.002 max_mem: 5634M
[03/18 11:36:10 d2.utils.events]: eta: 3:16:47 iter: 12620 total_loss: 2.392 loss_box2d_reg: 0.1658 loss_box3d_depth: 0.5998 loss_box3d_proj_ctr: 0.1002 loss_box3d_quat: 0.1476 loss_box3d_size: 0.08426 loss_centerness: 0.6166 loss_cls: 0.1188 loss_conf3d: 0.5745 lr: 0.002 max_mem: 5634M
[03/18 11:36:28 d2.utils.events]: eta: 3:05:44 iter: 12640 total_loss: 2.524 loss_box2d_reg: 0.1688 loss_box3d_depth: 0.681 loss_box3d_proj_ctr: 0.1063 loss_box3d_quat: 0.1584 loss_box3d_size: 0.08658 loss_centerness: 0.617 loss_cls: 0.1218 loss_conf3d: 0.5826 lr: 0.002 max_mem: 5634M
[03/18 11:36:47 d2.utils.events]: eta: 3:06:53 iter: 12660 total_loss: 2.397 loss_box2d_reg: 0.1691 loss_box3d_depth: 0.5711 loss_box3d_proj_ctr: 0.1061 loss_box3d_quat: 0.161 loss_box3d_size: 0.08809 loss_centerness: 0.6173 loss_cls: 0.123 loss_conf3d: 0.5626 lr: 0.002 max_mem: 5634M
[03/18 11:37:05 d2.utils.events]: eta: 3:05:32 iter: 12680 total_loss: 2.356 loss_box2d_reg: 0.1655 loss_box3d_depth: 0.5555 loss_box3d_proj_ctr: 0.1063 loss_box3d_quat: 0.1514 loss_box3d_size: 0.08511 loss_centerness: 0.6168 loss_cls: 0.1173 loss_conf3d: 0.559 lr: 0.002 max_mem: 5634M
[03/18 11:37:23 d2.utils.events]: eta: 3:06:05 iter: 12700 total_loss: 2.439 loss_box2d_reg: 0.1647 loss_box3d_depth: 0.6237 loss_box3d_proj_ctr: 0.104 loss_box3d_quat: 0.1591 loss_box3d_size: 0.08466 loss_centerness: 0.6168 loss_cls: 0.1184 loss_conf3d: 0.5795 lr: 0.002 max_mem: 5634M
[03/18 11:37:41 d2.utils.events]: eta: 3:03:12 iter: 12720 total_loss: 2.516 loss_box2d_reg: 0.167 loss_box3d_depth: 0.6981 loss_box3d_proj_ctr: 0.1038 loss_box3d_quat: 0.1513 loss_box3d_size: 0.08654 loss_centerness: 0.6173 loss_cls: 0.1223 loss_conf3d: 0.5849 lr: 0.002 max_mem: 5634M
[03/18 11:37:58 d2.utils.events]: eta: 3:02:10 iter: 12740 total_loss: 2.456 loss_box2d_reg: 0.1683 loss_box3d_depth: 0.6272 loss_box3d_proj_ctr: 0.1034 loss_box3d_quat: 0.1446 loss_box3d_size: 0.08453 loss_centerness: 0.6171 loss_cls: 0.1187 loss_conf3d: 0.5779 lr: 0.002 max_mem: 5634M
[03/18 11:38:16 d2.utils.events]: eta: 3:03:10 iter: 12760 total_loss: 2.47 loss_box2d_reg: 0.1684 loss_box3d_depth: 0.658 loss_box3d_proj_ctr: 0.1033 loss_box3d_quat: 0.1483 loss_box3d_size: 0.08413 loss_centerness: 0.6173 loss_cls: 0.1168 loss_conf3d: 0.5842 lr: 0.002 max_mem: 5634M
[03/18 11:38:34 d2.utils.events]: eta: 2:59:06 iter: 12780 total_loss: 2.438 loss_box2d_reg: 0.1682 loss_box3d_depth: 0.6055 loss_box3d_proj_ctr: 0.1025 loss_box3d_quat: 0.151 loss_box3d_size: 0.08456 loss_centerness: 0.6174 loss_cls: 0.1202 loss_conf3d: 0.5695 lr: 0.002 max_mem: 5634M
[03/18 11:38:53 d2.utils.events]: eta: 3:08:40 iter: 12800 total_loss: 2.406 loss_box2d_reg: 0.1673 loss_box3d_depth: 0.5668 loss_box3d_proj_ctr: 0.103 loss_box3d_quat: 0.1531 loss_box3d_size: 0.08528 loss_centerness: 0.6175 loss_cls: 0.1186 loss_conf3d: 0.556 lr: 0.002 max_mem: 5634M
[03/18 11:39:10 d2.utils.events]: eta: 3:01:32 iter: 12820 total_loss: 2.371 loss_box2d_reg: 0.1684 loss_box3d_depth: 0.5638 loss_box3d_proj_ctr: 0.1014 loss_box3d_quat: 0.1519 loss_box3d_size: 0.08475 loss_centerness: 0.6171 loss_cls: 0.1197 loss_conf3d: 0.5566 lr: 0.002 max_mem: 5634M
[03/18 11:39:28 d2.utils.events]: eta: 3:00:55 iter: 12840 total_loss: 2.333 loss_box2d_reg: 0.1683 loss_box3d_depth: 0.5303 loss_box3d_proj_ctr: 0.1066 loss_box3d_quat: 0.1594 loss_box3d_size: 0.08497 loss_centerness: 0.6183 loss_cls: 0.1201 loss_conf3d: 0.5476 lr: 0.002 max_mem: 5634M
[03/18 11:39:47 d2.utils.events]: eta: 3:06:56 iter: 12860 total_loss: 2.385 loss_box2d_reg: 0.1649 loss_box3d_depth: 0.5892 loss_box3d_proj_ctr: 0.09949 loss_box3d_quat: 0.1505 loss_box3d_size: 0.08303 loss_centerness: 0.6155 loss_cls: 0.1188 loss_conf3d: 0.5688 lr: 0.002 max_mem: 5634M
[03/18 11:40:06 d2.utils.events]: eta: 3:11:25 iter: 12880 total_loss: 2.401 loss_box2d_reg: 0.1615 loss_box3d_depth: 0.6128 loss_box3d_proj_ctr: 0.1007 loss_box3d_quat: 0.138 loss_box3d_size: 0.08292 loss_centerness: 0.6162 loss_cls: 0.1164 loss_conf3d: 0.5659 lr: 0.002 max_mem: 5634M
[03/18 11:40:24 d2.utils.events]: eta: 3:00:02 iter: 12900 total_loss: 2.381 loss_box2d_reg: 0.1638 loss_box3d_depth: 0.5674 loss_box3d_proj_ctr: 0.1021 loss_box3d_quat: 0.1497 loss_box3d_size: 0.08588 loss_centerness: 0.6174 loss_cls: 0.1159 loss_conf3d: 0.5594 lr: 0.002 max_mem: 5634M
[03/18 11:40:42 d2.utils.events]: eta: 3:04:20 iter: 12920 total_loss: 2.328 loss_box2d_reg: 0.1645 loss_box3d_depth: 0.548 loss_box3d_proj_ctr: 0.09843 loss_box3d_quat: 0.1395 loss_box3d_size: 0.08325 loss_centerness: 0.6167 loss_cls: 0.1178 loss_conf3d: 0.5577 lr: 0.002 max_mem: 5634M
[03/18 11:41:01 d2.utils.events]: eta: 3:08:00 iter: 12940 total_loss: 2.314 loss_box2d_reg: 0.1661 loss_box3d_depth: 0.5421 loss_box3d_proj_ctr: 0.1039 loss_box3d_quat: 0.146 loss_box3d_size: 0.08393 loss_centerness: 0.6182 loss_cls: 0.1183 loss_conf3d: 0.5487 lr: 0.002 max_mem: 5634M
[03/18 11:41:19 d2.utils.events]: eta: 2:59:35 iter: 12960 total_loss: 2.355 loss_box2d_reg: 0.1637 loss_box3d_depth: 0.5564 loss_box3d_proj_ctr: 0.09838 loss_box3d_quat: 0.1433 loss_box3d_size: 0.08257 loss_centerness: 0.6165 loss_cls: 0.1187 loss_conf3d: 0.5567 lr: 0.002 max_mem: 5634M
[03/18 11:41:38 d2.utils.events]: eta: 3:10:56 iter: 12980 total_loss: 2.362 loss_box2d_reg: 0.168 loss_box3d_depth: 0.5493 loss_box3d_proj_ctr: 0.09812 loss_box3d_quat: 0.1484 loss_box3d_size: 0.08257 loss_centerness: 0.6159 loss_cls: 0.1196 loss_conf3d: 0.5575 lr: 0.002 max_mem: 5634M
[03/18 11:41:56 d2.utils.events]: eta: 3:07:52 iter: 13000 total_loss: 2.343 loss_box2d_reg: 0.1619 loss_box3d_depth: 0.5495 loss_box3d_proj_ctr: 0.1005 loss_box3d_quat: 0.1353 loss_box3d_size: 0.08502 loss_centerness: 0.6165 loss_cls: 0.118 loss_conf3d: 0.5541 lr: 0.002 max_mem: 5634M
[03/18 11:42:21 d2.utils.events]: eta: 4:01:32 iter: 13020 total_loss: 2.325 loss_box2d_reg: 0.1681 loss_box3d_depth: 0.5394 loss_box3d_proj_ctr: 0.1036 loss_box3d_quat: 0.1465 loss_box3d_size: 0.08628 loss_centerness: 0.6166 loss_cls: 0.1177 loss_conf3d: 0.5498 lr: 0.002 max_mem: 5634M
[03/18 11:42:39 d2.utils.events]: eta: 3:04:26 iter: 13040 total_loss: 2.276 loss_box2d_reg: 0.1593 loss_box3d_depth: 0.5297 loss_box3d_proj_ctr: 0.09997 loss_box3d_quat: 0.137 loss_box3d_size: 0.08578 loss_centerness: 0.6153 loss_cls: 0.1149 loss_conf3d: 0.5465 lr: 0.002 max_mem: 5634M
[03/18 11:42:58 d2.utils.events]: eta: 3:10:04 iter: 13060 total_loss: 2.381 loss_box2d_reg: 0.1645 loss_box3d_depth: 0.5793 loss_box3d_proj_ctr: 0.0983 loss_box3d_quat: 0.1395 loss_box3d_size: 0.08327 loss_centerness: 0.6172 loss_cls: 0.1172 loss_conf3d: 0.5609 lr: 0.002 max_mem: 5634M
[03/18 11:43:16 d2.utils.events]: eta: 2:57:04 iter: 13080 total_loss: 2.414 loss_box2d_reg: 0.1658 loss_box3d_depth: 0.5942 loss_box3d_proj_ctr: 0.1051 loss_box3d_quat: 0.1476 loss_box3d_size: 0.08502 loss_centerness: 0.6174 loss_cls: 0.12 loss_conf3d: 0.5647 lr: 0.002 max_mem: 5634M
[03/18 11:43:35 d2.utils.events]: eta: 3:07:10 iter: 13100 total_loss: 2.452 loss_box2d_reg: 0.1658 loss_box3d_depth: 0.6501 loss_box3d_proj_ctr: 0.1015 loss_box3d_quat: 0.1453 loss_box3d_size: 0.08413 loss_centerness: 0.6168 loss_cls: 0.1171 loss_conf3d: 0.5752 lr: 0.002 max_mem: 5634M
[03/18 11:43:53 d2.utils.events]: eta: 3:01:06 iter: 13120 total_loss: 2.333 loss_box2d_reg: 0.1649 loss_box3d_depth: 0.5435 loss_box3d_proj_ctr: 0.1004 loss_box3d_quat: 0.1507 loss_box3d_size: 0.0828 loss_centerness: 0.6179 loss_cls: 0.1184 loss_conf3d: 0.553 lr: 0.002 max_mem: 5634M
[03/18 11:44:11 d2.utils.events]: eta: 2:58:18 iter: 13140 total_loss: 2.264 loss_box2d_reg: 0.1626 loss_box3d_depth: 0.5161 loss_box3d_proj_ctr: 0.098 loss_box3d_quat: 0.1394 loss_box3d_size: 0.07959 loss_centerness: 0.6158 loss_cls: 0.1158 loss_conf3d: 0.5426 lr: 0.002 max_mem: 5634M
[03/18 11:44:30 d2.utils.events]: eta: 3:02:31 iter: 13160 total_loss: 2.308 loss_box2d_reg: 0.1642 loss_box3d_depth: 0.5178 loss_box3d_proj_ctr: 0.1022 loss_box3d_quat: 0.1512 loss_box3d_size: 0.08463 loss_centerness: 0.6172 loss_cls: 0.1169 loss_conf3d: 0.5448 lr: 0.002 max_mem: 5634M
[03/18 11:44:48 d2.utils.events]: eta: 3:02:48 iter: 13180 total_loss: 2.345 loss_box2d_reg: 0.1639 loss_box3d_depth: 0.5673 loss_box3d_proj_ctr: 0.09889 loss_box3d_quat: 0.1381 loss_box3d_size: 0.08276 loss_centerness: 0.6165 loss_cls: 0.1169 loss_conf3d: 0.5545 lr: 0.002 max_mem: 5634M
[03/18 11:45:06 d2.utils.events]: eta: 2:56:15 iter: 13200 total_loss: 2.406 loss_box2d_reg: 0.1632 loss_box3d_depth: 0.5864 loss_box3d_proj_ctr: 0.09811 loss_box3d_quat: 0.1537 loss_box3d_size: 0.08563 loss_centerness: 0.6175 loss_cls: 0.1156 loss_conf3d: 0.568 lr: 0.002 max_mem: 5634M
[03/18 11:45:25 d2.utils.events]: eta: 3:05:19 iter: 13220 total_loss: 2.396 loss_box2d_reg: 0.1634 loss_box3d_depth: 0.5911 loss_box3d_proj_ctr: 0.09994 loss_box3d_quat: 0.1511 loss_box3d_size: 0.08238 loss_centerness: 0.6168 loss_cls: 0.1175 loss_conf3d: 0.5642 lr: 0.002 max_mem: 5634M
[03/18 11:45:44 d2.utils.events]: eta: 3:00:47 iter: 13240 total_loss: 2.4 loss_box2d_reg: 0.1654 loss_box3d_depth: 0.6118 loss_box3d_proj_ctr: 0.1033 loss_box3d_quat: 0.1488 loss_box3d_size: 0.08557 loss_centerness: 0.618 loss_cls: 0.1163 loss_conf3d: 0.5617 lr: 0.002 max_mem: 5634M
[03/18 11:46:02 d2.utils.events]: eta: 2:56:13 iter: 13260 total_loss: 2.364 loss_box2d_reg: 0.1647 loss_box3d_depth: 0.5666 loss_box3d_proj_ctr: 0.1003 loss_box3d_quat: 0.1462 loss_box3d_size: 0.08594 loss_centerness: 0.6167 loss_cls: 0.1172 loss_conf3d: 0.5613 lr: 0.002 max_mem: 5634M
[03/18 11:46:19 d2.utils.events]: eta: 2:54:35 iter: 13280 total_loss: 2.382 loss_box2d_reg: 0.1636 loss_box3d_depth: 0.5977 loss_box3d_proj_ctr: 0.09923 loss_box3d_quat: 0.1521 loss_box3d_size: 0.08438 loss_centerness: 0.6169 loss_cls: 0.1133 loss_conf3d: 0.5614 lr: 0.002 max_mem: 5634M
[03/18 11:46:38 d2.utils.events]: eta: 3:00:59 iter: 13300 total_loss: 2.453 loss_box2d_reg: 0.1657 loss_box3d_depth: 0.6417 loss_box3d_proj_ctr: 0.1019 loss_box3d_quat: 0.1463 loss_box3d_size: 0.08221 loss_centerness: 0.6177 loss_cls: 0.1168 loss_conf3d: 0.5734 lr: 0.002 max_mem: 5634M
[03/18 11:46:56 d2.utils.events]: eta: 2:59:38 iter: 13320 total_loss: 2.347 loss_box2d_reg: 0.1645 loss_box3d_depth: 0.5634 loss_box3d_proj_ctr: 0.1034 loss_box3d_quat: 0.1421 loss_box3d_size: 0.0827 loss_centerness: 0.6161 loss_cls: 0.1143 loss_conf3d: 0.5578 lr: 0.002 max_mem: 5634M
[03/18 11:47:15 d2.utils.events]: eta: 2:59:18 iter: 13340 total_loss: 2.284 loss_box2d_reg: 0.1637 loss_box3d_depth: 0.5175 loss_box3d_proj_ctr: 0.1008 loss_box3d_quat: 0.1427 loss_box3d_size: 0.08138 loss_centerness: 0.6158 loss_cls: 0.1167 loss_conf3d: 0.545 lr: 0.002 max_mem: 5634M
[03/18 11:47:35 d2.utils.events]: eta: 3:11:27 iter: 13360 total_loss: 2.322 loss_box2d_reg: 0.1649 loss_box3d_depth: 0.5444 loss_box3d_proj_ctr: 0.1008 loss_box3d_quat: 0.1434 loss_box3d_size: 0.08213 loss_centerness: 0.6176 loss_cls: 0.1156 loss_conf3d: 0.5521 lr: 0.002 max_mem: 5634M
[03/18 11:47:53 d2.utils.events]: eta: 2:56:53 iter: 13380 total_loss: 2.362 loss_box2d_reg: 0.1612 loss_box3d_depth: 0.5782 loss_box3d_proj_ctr: 0.09925 loss_box3d_quat: 0.1373 loss_box3d_size: 0.08124 loss_centerness: 0.6156 loss_cls: 0.1158 loss_conf3d: 0.5657 lr: 0.002 max_mem: 5634M
[03/18 11:48:11 d2.utils.events]: eta: 2:59:02 iter: 13400 total_loss: 2.264 loss_box2d_reg: 0.1634 loss_box3d_depth: 0.5044 loss_box3d_proj_ctr: 0.09859 loss_box3d_quat: 0.1322 loss_box3d_size: 0.08383 loss_centerness: 0.6152 loss_cls: 0.1149 loss_conf3d: 0.5438 lr: 0.002 max_mem: 5634M
[03/18 11:48:30 d2.utils.events]: eta: 3:01:48 iter: 13420 total_loss: 2.335 loss_box2d_reg: 0.1625 loss_box3d_depth: 0.5468 loss_box3d_proj_ctr: 0.09963 loss_box3d_quat: 0.1415 loss_box3d_size: 0.08378 loss_centerness: 0.6175 loss_cls: 0.1187 loss_conf3d: 0.5525 lr: 0.002 max_mem: 5634M
[03/18 11:48:48 d2.utils.events]: eta: 2:53:01 iter: 13440 total_loss: 2.325 loss_box2d_reg: 0.1615 loss_box3d_depth: 0.5587 loss_box3d_proj_ctr: 0.09713 loss_box3d_quat: 0.1426 loss_box3d_size: 0.08188 loss_centerness: 0.6167 loss_cls: 0.1118 loss_conf3d: 0.5505 lr: 0.002 max_mem: 5634M
[03/18 11:49:07 d2.utils.events]: eta: 2:56:35 iter: 13460 total_loss: 2.27 loss_box2d_reg: 0.1587 loss_box3d_depth: 0.5275 loss_box3d_proj_ctr: 0.09764 loss_box3d_quat: 0.1274 loss_box3d_size: 0.08215 loss_centerness: 0.6146 loss_cls: 0.111 loss_conf3d: 0.5436 lr: 0.002 max_mem: 5634M
[03/18 11:49:25 d2.utils.events]: eta: 2:57:34 iter: 13480 total_loss: 2.329 loss_box2d_reg: 0.165 loss_box3d_depth: 0.5507 loss_box3d_proj_ctr: 0.1017 loss_box3d_quat: 0.1542 loss_box3d_size: 0.08293 loss_centerness: 0.6163 loss_cls: 0.1184 loss_conf3d: 0.5583 lr: 0.002 max_mem: 5634M
[03/18 11:49:43 d2.utils.events]: eta: 2:51:25 iter: 13500 total_loss: 2.388 loss_box2d_reg: 0.1632 loss_box3d_depth: 0.5824 loss_box3d_proj_ctr: 0.1 loss_box3d_quat: 0.1395 loss_box3d_size: 0.08377 loss_centerness: 0.6156 loss_cls: 0.1136 loss_conf3d: 0.5626 lr: 0.002 max_mem: 5634M
[03/18 11:50:01 d2.utils.events]: eta: 2:54:20 iter: 13520 total_loss: 2.299 loss_box2d_reg: 0.1634 loss_box3d_depth: 0.5372 loss_box3d_proj_ctr: 0.1006 loss_box3d_quat: 0.1409 loss_box3d_size: 0.08331 loss_centerness: 0.6168 loss_cls: 0.1147 loss_conf3d: 0.5472 lr: 0.002 max_mem: 5634M
[03/18 11:50:19 d2.utils.events]: eta: 2:51:41 iter: 13540 total_loss: 2.282 loss_box2d_reg: 0.1599 loss_box3d_depth: 0.5123 loss_box3d_proj_ctr: 0.09774 loss_box3d_quat: 0.1504 loss_box3d_size: 0.08337 loss_centerness: 0.6164 loss_cls: 0.117 loss_conf3d: 0.544 lr: 0.002 max_mem: 5634M
[03/18 11:50:37 d2.utils.events]: eta: 2:53:52 iter: 13560 total_loss: 2.362 loss_box2d_reg: 0.161 loss_box3d_depth: 0.5763 loss_box3d_proj_ctr: 0.09737 loss_box3d_quat: 0.1446 loss_box3d_size: 0.08177 loss_centerness: 0.6152 loss_cls: 0.1124 loss_conf3d: 0.5695 lr: 0.002 max_mem: 5634M
[03/18 11:50:56 d2.utils.events]: eta: 2:54:30 iter: 13580 total_loss: 2.49 loss_box2d_reg: 0.1636 loss_box3d_depth: 0.6568 loss_box3d_proj_ctr: 0.09707 loss_box3d_quat: 0.1416 loss_box3d_size: 0.08191 loss_centerness: 0.6164 loss_cls: 0.1123 loss_conf3d: 0.5937 lr: 0.002 max_mem: 5634M
[03/18 11:51:15 d2.utils.events]: eta: 3:00:44 iter: 13600 total_loss: 2.438 loss_box2d_reg: 0.1642 loss_box3d_depth: 0.6232 loss_box3d_proj_ctr: 0.09792 loss_box3d_quat: 0.1478 loss_box3d_size: 0.08224 loss_centerness: 0.6162 loss_cls: 0.1142 loss_conf3d: 0.573 lr: 0.002 max_mem: 5634M
[03/18 11:51:34 d2.utils.events]: eta: 3:00:03 iter: 13620 total_loss: 2.432 loss_box2d_reg: 0.164 loss_box3d_depth: 0.6261 loss_box3d_proj_ctr: 0.09949 loss_box3d_quat: 0.1477 loss_box3d_size: 0.0844 loss_centerness: 0.6159 loss_cls: 0.1151 loss_conf3d: 0.5756 lr: 0.002 max_mem: 5634M
[03/18 11:51:52 d2.utils.events]: eta: 2:53:14 iter: 13640 total_loss: 2.392 loss_box2d_reg: 0.1638 loss_box3d_depth: 0.5935 loss_box3d_proj_ctr: 0.1029 loss_box3d_quat: 0.1547 loss_box3d_size: 0.08364 loss_centerness: 0.6152 loss_cls: 0.1153 loss_conf3d: 0.5669 lr: 0.002 max_mem: 5634M
[03/18 11:52:10 d2.utils.events]: eta: 2:47:14 iter: 13660 total_loss: 2.426 loss_box2d_reg: 0.1632 loss_box3d_depth: 0.5839 loss_box3d_proj_ctr: 0.09994 loss_box3d_quat: 0.1502 loss_box3d_size: 0.08301 loss_centerness: 0.616 loss_cls: 0.1125 loss_conf3d: 0.5621 lr: 0.002 max_mem: 5634M
[03/18 11:52:28 d2.utils.events]: eta: 2:48:21 iter: 13680 total_loss: 2.509 loss_box2d_reg: 0.164 loss_box3d_depth: 0.711 loss_box3d_proj_ctr: 0.09824 loss_box3d_quat: 0.1465 loss_box3d_size: 0.08231 loss_centerness: 0.6177 loss_cls: 0.1174 loss_conf3d: 0.5837 lr: 0.002 max_mem: 5634M
[03/18 11:52:46 d2.utils.events]: eta: 2:49:40 iter: 13700 total_loss: 2.571 loss_box2d_reg: 0.164 loss_box3d_depth: 0.7471 loss_box3d_proj_ctr: 0.1002 loss_box3d_quat: 0.1365 loss_box3d_size: 0.08508 loss_centerness: 0.6167 loss_cls: 0.1163 loss_conf3d: 0.6007 lr: 0.002 max_mem: 5634M
[03/18 11:53:04 d2.utils.events]: eta: 2:50:45 iter: 13720 total_loss: 2.333 loss_box2d_reg: 0.1601 loss_box3d_depth: 0.551 loss_box3d_proj_ctr: 0.1007 loss_box3d_quat: 0.1519 loss_box3d_size: 0.08404 loss_centerness: 0.6165 loss_cls: 0.1115 loss_conf3d: 0.5532 lr: 0.002 max_mem: 5634M
[03/18 11:53:22 d2.utils.events]: eta: 2:49:57 iter: 13740 total_loss: 2.247 loss_box2d_reg: 0.159 loss_box3d_depth: 0.5 loss_box3d_proj_ctr: 0.09512 loss_box3d_quat: 0.138 loss_box3d_size: 0.07927 loss_centerness: 0.6153 loss_cls: 0.1132 loss_conf3d: 0.5402 lr: 0.002 max_mem: 5634M
[03/18 11:53:41 d2.utils.events]: eta: 2:55:25 iter: 13760 total_loss: 2.383 loss_box2d_reg: 0.162 loss_box3d_depth: 0.6115 loss_box3d_proj_ctr: 0.1015 loss_box3d_quat: 0.138 loss_box3d_size: 0.08237 loss_centerness: 0.6165 loss_cls: 0.112 loss_conf3d: 0.5719 lr: 0.002 max_mem: 5634M
[03/18 11:54:00 d2.utils.events]: eta: 2:56:27 iter: 13780 total_loss: 2.395 loss_box2d_reg: 0.1618 loss_box3d_depth: 0.592 loss_box3d_proj_ctr: 0.09714 loss_box3d_quat: 0.1445 loss_box3d_size: 0.08193 loss_centerness: 0.616 loss_cls: 0.1164 loss_conf3d: 0.5733 lr: 0.002 max_mem: 5634M
[03/18 11:54:18 d2.utils.events]: eta: 2:53:07 iter: 13800 total_loss: 2.343 loss_box2d_reg: 0.1604 loss_box3d_depth: 0.5642 loss_box3d_proj_ctr: 0.09775 loss_box3d_quat: 0.1448 loss_box3d_size: 0.0835 loss_centerness: 0.6166 loss_cls: 0.1122 loss_conf3d: 0.5567 lr: 0.002 max_mem: 5634M
[03/18 11:54:37 d2.utils.events]: eta: 2:52:49 iter: 13820 total_loss: 2.307 loss_box2d_reg: 0.1593 loss_box3d_depth: 0.5341 loss_box3d_proj_ctr: 0.09534 loss_box3d_quat: 0.1443 loss_box3d_size: 0.08019 loss_centerness: 0.6147 loss_cls: 0.1119 loss_conf3d: 0.5506 lr: 0.002 max_mem: 5634M
[03/18 11:54:56 d2.utils.events]: eta: 2:56:08 iter: 13840 total_loss: 2.307 loss_box2d_reg: 0.1615 loss_box3d_depth: 0.5359 loss_box3d_proj_ctr: 0.1008 loss_box3d_quat: 0.1485 loss_box3d_size: 0.08402 loss_centerness: 0.6159 loss_cls: 0.1147 loss_conf3d: 0.5476 lr: 0.002 max_mem: 5634M
[03/18 11:55:15 d2.utils.events]: eta: 2:57:23 iter: 13860 total_loss: 2.362 loss_box2d_reg: 0.1599 loss_box3d_depth: 0.5751 loss_box3d_proj_ctr: 0.1015 loss_box3d_quat: 0.157 loss_box3d_size: 0.08403 loss_centerness: 0.6169 loss_cls: 0.1113 loss_conf3d: 0.5607 lr: 0.002 max_mem: 5634M
[03/18 11:55:34 d2.utils.events]: eta: 2:56:35 iter: 13880 total_loss: 2.457 loss_box2d_reg: 0.1634 loss_box3d_depth: 0.6191 loss_box3d_proj_ctr: 0.1052 loss_box3d_quat: 0.1518 loss_box3d_size: 0.082 loss_centerness: 0.6174 loss_cls: 0.1156 loss_conf3d: 0.5733 lr: 0.002 max_mem: 5634M
[03/18 11:55:52 d2.utils.events]: eta: 2:51:00 iter: 13900 total_loss: 2.483 loss_box2d_reg: 0.1672 loss_box3d_depth: 0.6847 loss_box3d_proj_ctr: 0.1005 loss_box3d_quat: 0.1457 loss_box3d_size: 0.08267 loss_centerness: 0.6163 loss_cls: 0.1156 loss_conf3d: 0.5965 lr: 0.002 max_mem: 5634M
[03/18 11:56:11 d2.utils.events]: eta: 2:52:56 iter: 13920 total_loss: 2.437 loss_box2d_reg: 0.1608 loss_box3d_depth: 0.6461 loss_box3d_proj_ctr: 0.09475 loss_box3d_quat: 0.1365 loss_box3d_size: 0.08297 loss_centerness: 0.6151 loss_cls: 0.1157 loss_conf3d: 0.5778 lr: 0.002 max_mem: 5634M
[03/18 11:56:29 d2.utils.events]: eta: 2:44:51 iter: 13940 total_loss: 2.272 loss_box2d_reg: 0.1571 loss_box3d_depth: 0.518 loss_box3d_proj_ctr: 0.09431 loss_box3d_quat: 0.1347 loss_box3d_size: 0.08292 loss_centerness: 0.6153 loss_cls: 0.1117 loss_conf3d: 0.5486 lr: 0.002 max_mem: 5634M
[03/18 11:56:47 d2.utils.events]: eta: 2:50:01 iter: 13960 total_loss: 2.285 loss_box2d_reg: 0.1611 loss_box3d_depth: 0.5099 loss_box3d_proj_ctr: 0.09818 loss_box3d_quat: 0.1463 loss_box3d_size: 0.08163 loss_centerness: 0.6169 loss_cls: 0.1139 loss_conf3d: 0.5427 lr: 0.002 max_mem: 5634M
[03/18 11:57:06 d2.utils.events]: eta: 2:48:35 iter: 13980 total_loss: 2.301 loss_box2d_reg: 0.1573 loss_box3d_depth: 0.553 loss_box3d_proj_ctr: 0.09616 loss_box3d_quat: 0.1359 loss_box3d_size: 0.07961 loss_centerness: 0.6152 loss_cls: 0.1108 loss_conf3d: 0.5501 lr: 0.002 max_mem: 5634M
[03/18 11:57:25 d2.utils.events]: eta: 2:52:25 iter: 14000 total_loss: 2.307 loss_box2d_reg: 0.1629 loss_box3d_depth: 0.5495 loss_box3d_proj_ctr: 0.1013 loss_box3d_quat: 0.1382 loss_box3d_size: 0.08181 loss_centerness: 0.6155 loss_cls: 0.1164 loss_conf3d: 0.5491 lr: 0.002 max_mem: 5634M
[03/18 11:57:32 fvcore.common.checkpoint]: Saving checkpoint to ./model_0013999.pth
[03/18 11:57:33 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 11:57:33 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 11:57:33 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 11:57:33 tridet.data.build]: Using test sampler InferenceSampler
[03/18 11:57:33 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 11:57:43 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0010 s/iter. Inference: 0.3177 s/iter. Eval: 0.3748 s/iter. Total: 0.6935 s/iter. ETA=0:00:25
[03/18 11:57:49 d2.evaluation.evaluator]: Inference done 19/48. Dataloading: 0.0012 s/iter. Inference: 0.3140 s/iter. Eval: 0.3910 s/iter. Total: 0.7062 s/iter. ETA=0:00:20
[03/18 11:57:54 d2.evaluation.evaluator]: Inference done 27/48. Dataloading: 0.0012 s/iter. Inference: 0.3162 s/iter. Eval: 0.3835 s/iter. Total: 0.7009 s/iter. ETA=0:00:14
[03/18 11:58:00 d2.evaluation.evaluator]: Inference done 35/48. Dataloading: 0.0011 s/iter. Inference: 0.3106 s/iter. Eval: 0.3845 s/iter. Total: 0.6963 s/iter. ETA=0:00:09
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 11:58:05 d2.evaluation.evaluator]: Inference done 43/48. Dataloading: 0.0011 s/iter. Inference: 0.3075 s/iter. Eval: 0.3847 s/iter. Total: 0.6934 s/iter. ETA=0:00:03
[03/18 11:58:08 d2.evaluation.evaluator]: Total inference time: 0:00:28.983732 (0.674040 s / iter per device, on 8 devices)
[03/18 11:58:08 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:12 (0.299104 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 11:58:09 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 11:58:09 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0014000/kitti_3d_val/coco_instances_results.json
[03/18 11:58:10 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.58s)
creating index...
index created!
[03/18 11:58:10 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 11:58:12 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.47 seconds.
[03/18 11:58:12 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 11:58:12 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.36 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.144
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.269
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.142
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.062
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.138
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.223
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.135
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.264
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.286
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.127
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.274
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.443
[03/18 11:58:12 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.362 26.900 14.243 6.206 13.825 22.313
[03/18 11:58:12 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 43.029 Pedestrian 15.216 Cyclist 1.825
Van 7.758 Truck 3.981
[03/18 11:58:36 tridet]: Running prediction visualizer: d2_visualizer
[03/18 11:58:37 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 5.49it/s][03/18 11:58:41 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.35it/s][03/18 11:58:56 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 11:58:56 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.3617
kitti_3d_val/bbox/AP50 26.8996
kitti_3d_val/bbox/AP75 14.2425
kitti_3d_val/bbox/APs 6.20607
kitti_3d_val/bbox/APm 13.8255
kitti_3d_val/bbox/APl 22.3126
kitti_3d_val/bbox/AP-Car 43.0286
kitti_3d_val/bbox/AP-Pedestrian 15.2157
kitti_3d_val/bbox/AP-Cyclist 1.82492
kitti_3d_val/bbox/AP-Van 7.75821
kitti_3d_val/bbox/AP-Truck 3.9813
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 23.9075
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 3.22751
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 16.5338
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 1.98146
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 14.6766
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.44461
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 1.70109
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 1.02247
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.73527
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0106908
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 2.17938
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.0955257
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.921196
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.517787
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 3.20956
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.0600437
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.0759346
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 30.0349
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 7.4444
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 20.6818
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 4.67811
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 18.955
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 4.01106
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 2.59788
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 1.90731
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 1.43364
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0465104
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.0299401
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.0286478
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 3.31826
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.731211
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 1.59242
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.186808
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.02515
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0991792
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 7.4121
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.532578
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.630428
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 11:59:15 d2.utils.events]: eta: 16:52:20 iter: 14020 total_loss: 2.264 loss_box2d_reg: 0.1625 loss_box3d_depth: 0.5114 loss_box3d_proj_ctr: 0.102 loss_box3d_quat: 0.1319 loss_box3d_size: 0.08307 loss_centerness: 0.6163 loss_cls: 0.1126 loss_conf3d: 0.5431 lr: 0.002 max_mem: 5634M
[03/18 11:59:33 d2.utils.events]: eta: 2:43:44 iter: 14040 total_loss: 2.328 loss_box2d_reg: 0.1633 loss_box3d_depth: 0.549 loss_box3d_proj_ctr: 0.09642 loss_box3d_quat: 0.1315 loss_box3d_size: 0.08086 loss_centerness: 0.6162 loss_cls: 0.1121 loss_conf3d: 0.5562 lr: 0.002 max_mem: 5634M
[03/18 11:59:51 d2.utils.events]: eta: 2:41:57 iter: 14060 total_loss: 2.369 loss_box2d_reg: 0.1614 loss_box3d_depth: 0.5959 loss_box3d_proj_ctr: 0.09648 loss_box3d_quat: 0.1411 loss_box3d_size: 0.08267 loss_centerness: 0.6161 loss_cls: 0.1164 loss_conf3d: 0.5644 lr: 0.002 max_mem: 5634M
[03/18 12:00:09 d2.utils.events]: eta: 2:48:46 iter: 14080 total_loss: 2.377 loss_box2d_reg: 0.1596 loss_box3d_depth: 0.6056 loss_box3d_proj_ctr: 0.09813 loss_box3d_quat: 0.1333 loss_box3d_size: 0.08231 loss_centerness: 0.617 loss_cls: 0.1149 loss_conf3d: 0.563 lr: 0.002 max_mem: 5634M
[03/18 12:00:28 d2.utils.events]: eta: 2:44:50 iter: 14100 total_loss: 2.507 loss_box2d_reg: 0.1624 loss_box3d_depth: 0.6836 loss_box3d_proj_ctr: 0.09814 loss_box3d_quat: 0.133 loss_box3d_size: 0.08209 loss_centerness: 0.6171 loss_cls: 0.1142 loss_conf3d: 0.5885 lr: 0.002 max_mem: 5634M
[03/18 12:00:46 d2.utils.events]: eta: 2:43:06 iter: 14120 total_loss: 2.496 loss_box2d_reg: 0.1588 loss_box3d_depth: 0.6714 loss_box3d_proj_ctr: 0.09858 loss_box3d_quat: 0.146 loss_box3d_size: 0.08215 loss_centerness: 0.6147 loss_cls: 0.1102 loss_conf3d: 0.587 lr: 0.002 max_mem: 5634M
[03/18 12:01:04 d2.utils.events]: eta: 2:47:51 iter: 14140 total_loss: 2.314 loss_box2d_reg: 0.1649 loss_box3d_depth: 0.5461 loss_box3d_proj_ctr: 0.09793 loss_box3d_quat: 0.1423 loss_box3d_size: 0.08019 loss_centerness: 0.6167 loss_cls: 0.1129 loss_conf3d: 0.5527 lr: 0.002 max_mem: 5634M
[03/18 12:01:23 d2.utils.events]: eta: 2:49:49 iter: 14160 total_loss: 2.376 loss_box2d_reg: 0.1593 loss_box3d_depth: 0.5906 loss_box3d_proj_ctr: 0.09734 loss_box3d_quat: 0.1408 loss_box3d_size: 0.08128 loss_centerness: 0.6168 loss_cls: 0.1112 loss_conf3d: 0.5675 lr: 0.002 max_mem: 5634M
[03/18 12:01:41 d2.utils.events]: eta: 2:45:54 iter: 14180 total_loss: 2.303 loss_box2d_reg: 0.1599 loss_box3d_depth: 0.5397 loss_box3d_proj_ctr: 0.0966 loss_box3d_quat: 0.1387 loss_box3d_size: 0.07877 loss_centerness: 0.6163 loss_cls: 0.1125 loss_conf3d: 0.5505 lr: 0.002 max_mem: 5634M
[03/18 12:01:59 d2.utils.events]: eta: 2:42:20 iter: 14200 total_loss: 2.217 loss_box2d_reg: 0.1565 loss_box3d_depth: 0.502 loss_box3d_proj_ctr: 0.09497 loss_box3d_quat: 0.1342 loss_box3d_size: 0.08076 loss_centerness: 0.6161 loss_cls: 0.1095 loss_conf3d: 0.5356 lr: 0.002 max_mem: 5634M
[03/18 12:02:17 d2.utils.events]: eta: 2:37:57 iter: 14220 total_loss: 2.343 loss_box2d_reg: 0.157 loss_box3d_depth: 0.5946 loss_box3d_proj_ctr: 0.09523 loss_box3d_quat: 0.1295 loss_box3d_size: 0.08257 loss_centerness: 0.6153 loss_cls: 0.1107 loss_conf3d: 0.5552 lr: 0.002 max_mem: 5634M
[03/18 12:02:35 d2.utils.events]: eta: 2:39:36 iter: 14240 total_loss: 2.357 loss_box2d_reg: 0.1611 loss_box3d_depth: 0.5742 loss_box3d_proj_ctr: 0.0952 loss_box3d_quat: 0.1381 loss_box3d_size: 0.0814 loss_centerness: 0.6164 loss_cls: 0.1116 loss_conf3d: 0.5602 lr: 0.002 max_mem: 5634M
[03/18 12:02:53 d2.utils.events]: eta: 2:43:09 iter: 14260 total_loss: 2.294 loss_box2d_reg: 0.1604 loss_box3d_depth: 0.5188 loss_box3d_proj_ctr: 0.09978 loss_box3d_quat: 0.1314 loss_box3d_size: 0.08145 loss_centerness: 0.6157 loss_cls: 0.1139 loss_conf3d: 0.5492 lr: 0.002 max_mem: 5634M
[03/18 12:03:12 d2.utils.events]: eta: 2:46:14 iter: 14280 total_loss: 2.347 loss_box2d_reg: 0.1581 loss_box3d_depth: 0.5623 loss_box3d_proj_ctr: 0.09408 loss_box3d_quat: 0.1387 loss_box3d_size: 0.07903 loss_centerness: 0.6146 loss_cls: 0.1079 loss_conf3d: 0.5578 lr: 0.002 max_mem: 5634M
[03/18 12:03:29 d2.utils.events]: eta: 2:37:39 iter: 14300 total_loss: 2.219 loss_box2d_reg: 0.1598 loss_box3d_depth: 0.4849 loss_box3d_proj_ctr: 0.09253 loss_box3d_quat: 0.1371 loss_box3d_size: 0.07963 loss_centerness: 0.6151 loss_cls: 0.112 loss_conf3d: 0.5368 lr: 0.002 max_mem: 5634M
[03/18 12:03:48 d2.utils.events]: eta: 2:46:26 iter: 14320 total_loss: 2.259 loss_box2d_reg: 0.1626 loss_box3d_depth: 0.5127 loss_box3d_proj_ctr: 0.09652 loss_box3d_quat: 0.1392 loss_box3d_size: 0.08017 loss_centerness: 0.6153 loss_cls: 0.1136 loss_conf3d: 0.538 lr: 0.002 max_mem: 5634M
[03/18 12:04:06 d2.utils.events]: eta: 2:42:34 iter: 14340 total_loss: 2.236 loss_box2d_reg: 0.1597 loss_box3d_depth: 0.5046 loss_box3d_proj_ctr: 0.09358 loss_box3d_quat: 0.1347 loss_box3d_size: 0.08077 loss_centerness: 0.616 loss_cls: 0.1095 loss_conf3d: 0.5402 lr: 0.002 max_mem: 5634M
[03/18 12:04:24 d2.utils.events]: eta: 2:37:16 iter: 14360 total_loss: 2.297 loss_box2d_reg: 0.1587 loss_box3d_depth: 0.539 loss_box3d_proj_ctr: 0.09763 loss_box3d_quat: 0.1339 loss_box3d_size: 0.08091 loss_centerness: 0.6166 loss_cls: 0.1077 loss_conf3d: 0.548 lr: 0.002 max_mem: 5634M
[03/18 12:04:43 d2.utils.events]: eta: 2:44:29 iter: 14380 total_loss: 2.303 loss_box2d_reg: 0.1612 loss_box3d_depth: 0.5358 loss_box3d_proj_ctr: 0.09582 loss_box3d_quat: 0.1279 loss_box3d_size: 0.0814 loss_centerness: 0.6163 loss_cls: 0.1121 loss_conf3d: 0.5522 lr: 0.002 max_mem: 5634M
[03/18 12:05:01 d2.utils.events]: eta: 2:41:05 iter: 14400 total_loss: 2.23 loss_box2d_reg: 0.1597 loss_box3d_depth: 0.4987 loss_box3d_proj_ctr: 0.09519 loss_box3d_quat: 0.1323 loss_box3d_size: 0.08046 loss_centerness: 0.6161 loss_cls: 0.112 loss_conf3d: 0.542 lr: 0.002 max_mem: 5634M
[03/18 12:05:19 d2.utils.events]: eta: 2:38:15 iter: 14420 total_loss: 2.242 loss_box2d_reg: 0.1559 loss_box3d_depth: 0.4994 loss_box3d_proj_ctr: 0.09438 loss_box3d_quat: 0.1343 loss_box3d_size: 0.081 loss_centerness: 0.6159 loss_cls: 0.1087 loss_conf3d: 0.5417 lr: 0.002 max_mem: 5634M
[03/18 12:05:37 d2.utils.events]: eta: 2:43:14 iter: 14440 total_loss: 2.267 loss_box2d_reg: 0.1585 loss_box3d_depth: 0.5387 loss_box3d_proj_ctr: 0.09228 loss_box3d_quat: 0.1391 loss_box3d_size: 0.07807 loss_centerness: 0.6157 loss_cls: 0.1091 loss_conf3d: 0.5452 lr: 0.002 max_mem: 5634M
[03/18 12:05:55 d2.utils.events]: eta: 2:36:02 iter: 14460 total_loss: 2.26 loss_box2d_reg: 0.1557 loss_box3d_depth: 0.5256 loss_box3d_proj_ctr: 0.0956 loss_box3d_quat: 0.1406 loss_box3d_size: 0.07964 loss_centerness: 0.6147 loss_cls: 0.1102 loss_conf3d: 0.5409 lr: 0.002 max_mem: 5634M
[03/18 12:06:13 d2.utils.events]: eta: 2:39:03 iter: 14480 total_loss: 2.27 loss_box2d_reg: 0.1611 loss_box3d_depth: 0.5247 loss_box3d_proj_ctr: 0.09408 loss_box3d_quat: 0.134 loss_box3d_size: 0.08081 loss_centerness: 0.615 loss_cls: 0.1114 loss_conf3d: 0.5441 lr: 0.002 max_mem: 5634M
[03/18 12:06:31 d2.utils.events]: eta: 2:37:34 iter: 14500 total_loss: 2.212 loss_box2d_reg: 0.1588 loss_box3d_depth: 0.4874 loss_box3d_proj_ctr: 0.09462 loss_box3d_quat: 0.1298 loss_box3d_size: 0.08045 loss_centerness: 0.6154 loss_cls: 0.1107 loss_conf3d: 0.5321 lr: 0.002 max_mem: 5634M
[03/18 12:06:49 d2.utils.events]: eta: 2:32:58 iter: 14520 total_loss: 2.28 loss_box2d_reg: 0.1595 loss_box3d_depth: 0.5368 loss_box3d_proj_ctr: 0.09702 loss_box3d_quat: 0.1353 loss_box3d_size: 0.08144 loss_centerness: 0.6151 loss_cls: 0.1079 loss_conf3d: 0.5474 lr: 0.002 max_mem: 5634M
[03/18 12:07:07 d2.utils.events]: eta: 2:37:39 iter: 14540 total_loss: 2.277 loss_box2d_reg: 0.1571 loss_box3d_depth: 0.535 loss_box3d_proj_ctr: 0.09486 loss_box3d_quat: 0.1373 loss_box3d_size: 0.07766 loss_centerness: 0.6149 loss_cls: 0.109 loss_conf3d: 0.5454 lr: 0.002 max_mem: 5634M
[03/18 12:07:25 d2.utils.events]: eta: 2:38:08 iter: 14560 total_loss: 2.263 loss_box2d_reg: 0.1571 loss_box3d_depth: 0.5259 loss_box3d_proj_ctr: 0.09117 loss_box3d_quat: 0.1282 loss_box3d_size: 0.08081 loss_centerness: 0.6156 loss_cls: 0.1104 loss_conf3d: 0.5455 lr: 0.002 max_mem: 5634M
[03/18 12:07:43 d2.utils.events]: eta: 2:39:00 iter: 14580 total_loss: 2.222 loss_box2d_reg: 0.1559 loss_box3d_depth: 0.5035 loss_box3d_proj_ctr: 0.09034 loss_box3d_quat: 0.1308 loss_box3d_size: 0.0791 loss_centerness: 0.6155 loss_cls: 0.1072 loss_conf3d: 0.5345 lr: 0.002 max_mem: 5634M
[03/18 12:08:02 d2.utils.events]: eta: 2:38:01 iter: 14600 total_loss: 2.232 loss_box2d_reg: 0.1603 loss_box3d_depth: 0.4858 loss_box3d_proj_ctr: 0.09586 loss_box3d_quat: 0.1306 loss_box3d_size: 0.07863 loss_centerness: 0.6154 loss_cls: 0.1123 loss_conf3d: 0.5357 lr: 0.002 max_mem: 5634M
[03/18 12:08:20 d2.utils.events]: eta: 2:37:03 iter: 14620 total_loss: 2.397 loss_box2d_reg: 0.1597 loss_box3d_depth: 0.633 loss_box3d_proj_ctr: 0.09263 loss_box3d_quat: 0.1288 loss_box3d_size: 0.07889 loss_centerness: 0.6167 loss_cls: 0.1094 loss_conf3d: 0.58 lr: 0.002 max_mem: 5634M
[03/18 12:08:38 d2.utils.events]: eta: 2:35:45 iter: 14640 total_loss: 2.339 loss_box2d_reg: 0.1622 loss_box3d_depth: 0.559 loss_box3d_proj_ctr: 0.09846 loss_box3d_quat: 0.1396 loss_box3d_size: 0.08003 loss_centerness: 0.6161 loss_cls: 0.1101 loss_conf3d: 0.5579 lr: 0.002 max_mem: 5634M
[03/18 12:08:56 d2.utils.events]: eta: 2:40:24 iter: 14660 total_loss: 2.357 loss_box2d_reg: 0.1595 loss_box3d_depth: 0.5816 loss_box3d_proj_ctr: 0.09624 loss_box3d_quat: 0.1327 loss_box3d_size: 0.08232 loss_centerness: 0.6154 loss_cls: 0.1121 loss_conf3d: 0.5635 lr: 0.002 max_mem: 5634M
[03/18 12:09:15 d2.utils.events]: eta: 2:35:56 iter: 14680 total_loss: 2.367 loss_box2d_reg: 0.155 loss_box3d_depth: 0.5956 loss_box3d_proj_ctr: 0.09302 loss_box3d_quat: 0.1336 loss_box3d_size: 0.08015 loss_centerness: 0.6145 loss_cls: 0.109 loss_conf3d: 0.5717 lr: 0.002 max_mem: 5634M
[03/18 12:09:34 d2.utils.events]: eta: 2:43:16 iter: 14700 total_loss: 2.476 loss_box2d_reg: 0.1619 loss_box3d_depth: 0.6844 loss_box3d_proj_ctr: 0.0952 loss_box3d_quat: 0.1412 loss_box3d_size: 0.08205 loss_centerness: 0.6169 loss_cls: 0.1115 loss_conf3d: 0.5768 lr: 0.002 max_mem: 5634M
[03/18 12:09:52 d2.utils.events]: eta: 2:40:19 iter: 14720 total_loss: 2.403 loss_box2d_reg: 0.1573 loss_box3d_depth: 0.6172 loss_box3d_proj_ctr: 0.0957 loss_box3d_quat: 0.1277 loss_box3d_size: 0.0799 loss_centerness: 0.6158 loss_cls: 0.1056 loss_conf3d: 0.5698 lr: 0.002 max_mem: 5634M
[03/18 12:10:10 d2.utils.events]: eta: 2:34:03 iter: 14740 total_loss: 2.316 loss_box2d_reg: 0.1577 loss_box3d_depth: 0.5732 loss_box3d_proj_ctr: 0.09799 loss_box3d_quat: 0.1311 loss_box3d_size: 0.07919 loss_centerness: 0.615 loss_cls: 0.1107 loss_conf3d: 0.5597 lr: 0.002 max_mem: 5634M
[03/18 12:10:29 d2.utils.events]: eta: 2:36:30 iter: 14760 total_loss: 2.245 loss_box2d_reg: 0.156 loss_box3d_depth: 0.5357 loss_box3d_proj_ctr: 0.09532 loss_box3d_quat: 0.1211 loss_box3d_size: 0.07835 loss_centerness: 0.6152 loss_cls: 0.108 loss_conf3d: 0.5415 lr: 0.002 max_mem: 5634M
[03/18 12:10:47 d2.utils.events]: eta: 2:34:51 iter: 14780 total_loss: 2.24 loss_box2d_reg: 0.1567 loss_box3d_depth: 0.5116 loss_box3d_proj_ctr: 0.09603 loss_box3d_quat: 0.1302 loss_box3d_size: 0.08032 loss_centerness: 0.6153 loss_cls: 0.1082 loss_conf3d: 0.5421 lr: 0.002 max_mem: 5634M
[03/18 12:11:06 d2.utils.events]: eta: 2:39:42 iter: 14800 total_loss: 2.227 loss_box2d_reg: 0.1564 loss_box3d_depth: 0.5158 loss_box3d_proj_ctr: 0.09392 loss_box3d_quat: 0.1251 loss_box3d_size: 0.07935 loss_centerness: 0.6162 loss_cls: 0.1083 loss_conf3d: 0.5453 lr: 0.002 max_mem: 5634M
[03/18 12:11:25 d2.utils.events]: eta: 2:42:02 iter: 14820 total_loss: 2.287 loss_box2d_reg: 0.1583 loss_box3d_depth: 0.5224 loss_box3d_proj_ctr: 0.09566 loss_box3d_quat: 0.1481 loss_box3d_size: 0.08432 loss_centerness: 0.6156 loss_cls: 0.1081 loss_conf3d: 0.5463 lr: 0.002 max_mem: 5634M
[03/18 12:11:44 d2.utils.events]: eta: 2:38:43 iter: 14840 total_loss: 2.235 loss_box2d_reg: 0.1574 loss_box3d_depth: 0.5067 loss_box3d_proj_ctr: 0.09176 loss_box3d_quat: 0.1261 loss_box3d_size: 0.07832 loss_centerness: 0.6154 loss_cls: 0.1102 loss_conf3d: 0.5377 lr: 0.002 max_mem: 5634M
[03/18 12:12:02 d2.utils.events]: eta: 2:40:05 iter: 14860 total_loss: 2.261 loss_box2d_reg: 0.1575 loss_box3d_depth: 0.5318 loss_box3d_proj_ctr: 0.09292 loss_box3d_quat: 0.1232 loss_box3d_size: 0.07713 loss_centerness: 0.6157 loss_cls: 0.1072 loss_conf3d: 0.5423 lr: 0.002 max_mem: 5634M
[03/18 12:12:20 d2.utils.events]: eta: 2:31:20 iter: 14880 total_loss: 2.272 loss_box2d_reg: 0.1536 loss_box3d_depth: 0.5464 loss_box3d_proj_ctr: 0.09405 loss_box3d_quat: 0.1271 loss_box3d_size: 0.07935 loss_centerness: 0.6159 loss_cls: 0.1096 loss_conf3d: 0.5477 lr: 0.002 max_mem: 5634M
[03/18 12:12:39 d2.utils.events]: eta: 2:34:53 iter: 14900 total_loss: 2.267 loss_box2d_reg: 0.1564 loss_box3d_depth: 0.5291 loss_box3d_proj_ctr: 0.09019 loss_box3d_quat: 0.1276 loss_box3d_size: 0.0793 loss_centerness: 0.6152 loss_cls: 0.1065 loss_conf3d: 0.5463 lr: 0.002 max_mem: 5634M
[03/18 12:12:57 d2.utils.events]: eta: 2:34:26 iter: 14920 total_loss: 2.279 loss_box2d_reg: 0.1537 loss_box3d_depth: 0.5476 loss_box3d_proj_ctr: 0.09101 loss_box3d_quat: 0.1281 loss_box3d_size: 0.08071 loss_centerness: 0.6161 loss_cls: 0.1069 loss_conf3d: 0.5484 lr: 0.002 max_mem: 5634M
[03/18 12:13:16 d2.utils.events]: eta: 2:40:12 iter: 14940 total_loss: 2.273 loss_box2d_reg: 0.157 loss_box3d_depth: 0.5365 loss_box3d_proj_ctr: 0.0924 loss_box3d_quat: 0.1313 loss_box3d_size: 0.07696 loss_centerness: 0.616 loss_cls: 0.109 loss_conf3d: 0.5545 lr: 0.002 max_mem: 5634M
[03/18 12:13:35 d2.utils.events]: eta: 2:38:10 iter: 14960 total_loss: 2.345 loss_box2d_reg: 0.1572 loss_box3d_depth: 0.5747 loss_box3d_proj_ctr: 0.09401 loss_box3d_quat: 0.1336 loss_box3d_size: 0.08016 loss_centerness: 0.6161 loss_cls: 0.1095 loss_conf3d: 0.564 lr: 0.002 max_mem: 5634M
[03/18 12:13:54 d2.utils.events]: eta: 2:34:48 iter: 14980 total_loss: 2.287 loss_box2d_reg: 0.1535 loss_box3d_depth: 0.5573 loss_box3d_proj_ctr: 0.09184 loss_box3d_quat: 0.1266 loss_box3d_size: 0.07807 loss_centerness: 0.6153 loss_cls: 0.1075 loss_conf3d: 0.5543 lr: 0.002 max_mem: 5634M
[03/18 12:14:12 d2.utils.events]: eta: 2:32:25 iter: 15000 total_loss: 2.308 loss_box2d_reg: 0.159 loss_box3d_depth: 0.5746 loss_box3d_proj_ctr: 0.09213 loss_box3d_quat: 0.1295 loss_box3d_size: 0.07766 loss_centerness: 0.616 loss_cls: 0.1108 loss_conf3d: 0.5589 lr: 0.002 max_mem: 5634M
[03/18 12:14:36 d2.utils.events]: eta: 3:18:22 iter: 15020 total_loss: 2.226 loss_box2d_reg: 0.1564 loss_box3d_depth: 0.4942 loss_box3d_proj_ctr: 0.09278 loss_box3d_quat: 0.1285 loss_box3d_size: 0.07984 loss_centerness: 0.6159 loss_cls: 0.1068 loss_conf3d: 0.5365 lr: 0.002 max_mem: 5634M
[03/18 12:14:54 d2.utils.events]: eta: 2:32:57 iter: 15040 total_loss: 2.204 loss_box2d_reg: 0.1547 loss_box3d_depth: 0.5067 loss_box3d_proj_ctr: 0.09254 loss_box3d_quat: 0.1251 loss_box3d_size: 0.08111 loss_centerness: 0.6157 loss_cls: 0.1037 loss_conf3d: 0.5321 lr: 0.002 max_mem: 5634M
[03/18 12:15:13 d2.utils.events]: eta: 2:37:29 iter: 15060 total_loss: 2.206 loss_box2d_reg: 0.1551 loss_box3d_depth: 0.5018 loss_box3d_proj_ctr: 0.09279 loss_box3d_quat: 0.1244 loss_box3d_size: 0.07866 loss_centerness: 0.615 loss_cls: 0.1053 loss_conf3d: 0.5336 lr: 0.002 max_mem: 5634M
[03/18 12:15:32 d2.utils.events]: eta: 2:34:03 iter: 15080 total_loss: 2.233 loss_box2d_reg: 0.1553 loss_box3d_depth: 0.5064 loss_box3d_proj_ctr: 0.09405 loss_box3d_quat: 0.1323 loss_box3d_size: 0.07796 loss_centerness: 0.6151 loss_cls: 0.1074 loss_conf3d: 0.5336 lr: 0.002 max_mem: 5634M
[03/18 12:15:51 d2.utils.events]: eta: 2:33:15 iter: 15100 total_loss: 2.214 loss_box2d_reg: 0.1567 loss_box3d_depth: 0.5025 loss_box3d_proj_ctr: 0.09207 loss_box3d_quat: 0.1214 loss_box3d_size: 0.07801 loss_centerness: 0.6154 loss_cls: 0.1068 loss_conf3d: 0.5426 lr: 0.002 max_mem: 5634M
[03/18 12:16:08 d2.utils.events]: eta: 2:27:03 iter: 15120 total_loss: 2.252 loss_box2d_reg: 0.1541 loss_box3d_depth: 0.5356 loss_box3d_proj_ctr: 0.09526 loss_box3d_quat: 0.1231 loss_box3d_size: 0.07717 loss_centerness: 0.6159 loss_cls: 0.1053 loss_conf3d: 0.5422 lr: 0.002 max_mem: 5634M
[03/18 12:16:28 d2.utils.events]: eta: 2:37:32 iter: 15140 total_loss: 2.232 loss_box2d_reg: 0.1539 loss_box3d_depth: 0.5097 loss_box3d_proj_ctr: 0.09293 loss_box3d_quat: 0.1337 loss_box3d_size: 0.07989 loss_centerness: 0.6154 loss_cls: 0.1085 loss_conf3d: 0.5363 lr: 0.002 max_mem: 5634M
[03/18 12:16:47 d2.utils.events]: eta: 2:36:39 iter: 15160 total_loss: 2.205 loss_box2d_reg: 0.1526 loss_box3d_depth: 0.495 loss_box3d_proj_ctr: 0.09085 loss_box3d_quat: 0.13 loss_box3d_size: 0.07885 loss_centerness: 0.6157 loss_cls: 0.102 loss_conf3d: 0.5358 lr: 0.002 max_mem: 5634M
[03/18 12:17:06 d2.utils.events]: eta: 2:34:13 iter: 15180 total_loss: 2.203 loss_box2d_reg: 0.1548 loss_box3d_depth: 0.4955 loss_box3d_proj_ctr: 0.09446 loss_box3d_quat: 0.1287 loss_box3d_size: 0.07995 loss_centerness: 0.6152 loss_cls: 0.1097 loss_conf3d: 0.5335 lr: 0.002 max_mem: 5634M
[03/18 12:17:24 d2.utils.events]: eta: 2:33:06 iter: 15200 total_loss: 2.195 loss_box2d_reg: 0.1552 loss_box3d_depth: 0.4843 loss_box3d_proj_ctr: 0.09274 loss_box3d_quat: 0.1302 loss_box3d_size: 0.07601 loss_centerness: 0.6148 loss_cls: 0.1065 loss_conf3d: 0.5318 lr: 0.002 max_mem: 5634M
[03/18 12:17:44 d2.utils.events]: eta: 2:38:40 iter: 15220 total_loss: 2.178 loss_box2d_reg: 0.15 loss_box3d_depth: 0.4771 loss_box3d_proj_ctr: 0.08832 loss_box3d_quat: 0.1213 loss_box3d_size: 0.07738 loss_centerness: 0.6138 loss_cls: 0.1071 loss_conf3d: 0.5279 lr: 0.002 max_mem: 5634M
[03/18 12:18:03 d2.utils.events]: eta: 2:35:07 iter: 15240 total_loss: 2.208 loss_box2d_reg: 0.1534 loss_box3d_depth: 0.4994 loss_box3d_proj_ctr: 0.09075 loss_box3d_quat: 0.12 loss_box3d_size: 0.07662 loss_centerness: 0.6149 loss_cls: 0.1077 loss_conf3d: 0.533 lr: 0.002 max_mem: 5634M
[03/18 12:18:23 d2.utils.events]: eta: 2:40:03 iter: 15260 total_loss: 2.197 loss_box2d_reg: 0.1551 loss_box3d_depth: 0.5094 loss_box3d_proj_ctr: 0.09387 loss_box3d_quat: 0.1213 loss_box3d_size: 0.07776 loss_centerness: 0.6154 loss_cls: 0.1051 loss_conf3d: 0.5407 lr: 0.002 max_mem: 5634M
[03/18 12:18:42 d2.utils.events]: eta: 2:34:59 iter: 15280 total_loss: 2.177 loss_box2d_reg: 0.1521 loss_box3d_depth: 0.4803 loss_box3d_proj_ctr: 0.09298 loss_box3d_quat: 0.1218 loss_box3d_size: 0.07681 loss_centerness: 0.6142 loss_cls: 0.1067 loss_conf3d: 0.5269 lr: 0.002 max_mem: 5634M
[03/18 12:19:01 d2.utils.events]: eta: 2:33:13 iter: 15300 total_loss: 2.342 loss_box2d_reg: 0.156 loss_box3d_depth: 0.5754 loss_box3d_proj_ctr: 0.09293 loss_box3d_quat: 0.1467 loss_box3d_size: 0.07759 loss_centerness: 0.6157 loss_cls: 0.1066 loss_conf3d: 0.5639 lr: 0.002 max_mem: 5634M
[03/18 12:19:19 d2.utils.events]: eta: 2:29:57 iter: 15320 total_loss: 2.291 loss_box2d_reg: 0.1572 loss_box3d_depth: 0.5496 loss_box3d_proj_ctr: 0.09147 loss_box3d_quat: 0.1478 loss_box3d_size: 0.08017 loss_centerness: 0.6154 loss_cls: 0.1093 loss_conf3d: 0.5496 lr: 0.002 max_mem: 5634M
[03/18 12:19:38 d2.utils.events]: eta: 2:32:37 iter: 15340 total_loss: 2.223 loss_box2d_reg: 0.1562 loss_box3d_depth: 0.4984 loss_box3d_proj_ctr: 0.09065 loss_box3d_quat: 0.1377 loss_box3d_size: 0.07642 loss_centerness: 0.6155 loss_cls: 0.1098 loss_conf3d: 0.5381 lr: 0.002 max_mem: 5634M
[03/18 12:19:56 d2.utils.events]: eta: 2:24:38 iter: 15360 total_loss: 2.216 loss_box2d_reg: 0.1531 loss_box3d_depth: 0.5222 loss_box3d_proj_ctr: 0.09085 loss_box3d_quat: 0.1321 loss_box3d_size: 0.07709 loss_centerness: 0.6149 loss_cls: 0.1063 loss_conf3d: 0.5416 lr: 0.002 max_mem: 5634M
[03/18 12:20:14 d2.utils.events]: eta: 2:25:49 iter: 15380 total_loss: 2.216 loss_box2d_reg: 0.1525 loss_box3d_depth: 0.5162 loss_box3d_proj_ctr: 0.08976 loss_box3d_quat: 0.1216 loss_box3d_size: 0.07823 loss_centerness: 0.6143 loss_cls: 0.1034 loss_conf3d: 0.5381 lr: 0.002 max_mem: 5634M
[03/18 12:20:34 d2.utils.events]: eta: 2:35:13 iter: 15400 total_loss: 2.208 loss_box2d_reg: 0.156 loss_box3d_depth: 0.4989 loss_box3d_proj_ctr: 0.0903 loss_box3d_quat: 0.1312 loss_box3d_size: 0.07643 loss_centerness: 0.6152 loss_cls: 0.1072 loss_conf3d: 0.5317 lr: 0.002 max_mem: 5634M
[03/18 12:20:53 d2.utils.events]: eta: 2:29:31 iter: 15420 total_loss: 2.237 loss_box2d_reg: 0.1513 loss_box3d_depth: 0.5076 loss_box3d_proj_ctr: 0.09443 loss_box3d_quat: 0.1289 loss_box3d_size: 0.07778 loss_centerness: 0.616 loss_cls: 0.1074 loss_conf3d: 0.5441 lr: 0.002 max_mem: 5634M
[03/18 12:21:11 d2.utils.events]: eta: 2:27:03 iter: 15440 total_loss: 2.254 loss_box2d_reg: 0.1512 loss_box3d_depth: 0.5298 loss_box3d_proj_ctr: 0.09196 loss_box3d_quat: 0.1253 loss_box3d_size: 0.07825 loss_centerness: 0.6141 loss_cls: 0.1062 loss_conf3d: 0.5435 lr: 0.002 max_mem: 5634M
[03/18 12:21:30 d2.utils.events]: eta: 2:28:41 iter: 15460 total_loss: 2.242 loss_box2d_reg: 0.1517 loss_box3d_depth: 0.5306 loss_box3d_proj_ctr: 0.08878 loss_box3d_quat: 0.1334 loss_box3d_size: 0.07734 loss_centerness: 0.6156 loss_cls: 0.1043 loss_conf3d: 0.5446 lr: 0.002 max_mem: 5634M
[03/18 12:21:48 d2.utils.events]: eta: 2:26:29 iter: 15480 total_loss: 2.224 loss_box2d_reg: 0.1508 loss_box3d_depth: 0.5319 loss_box3d_proj_ctr: 0.09074 loss_box3d_quat: 0.1165 loss_box3d_size: 0.07969 loss_centerness: 0.6145 loss_cls: 0.1055 loss_conf3d: 0.5361 lr: 0.002 max_mem: 5634M
[03/18 12:22:07 d2.utils.events]: eta: 2:29:46 iter: 15500 total_loss: 2.228 loss_box2d_reg: 0.1562 loss_box3d_depth: 0.4986 loss_box3d_proj_ctr: 0.09148 loss_box3d_quat: 0.1338 loss_box3d_size: 0.07772 loss_centerness: 0.6166 loss_cls: 0.1081 loss_conf3d: 0.5319 lr: 0.002 max_mem: 5634M
[03/18 12:22:26 d2.utils.events]: eta: 2:31:22 iter: 15520 total_loss: 2.194 loss_box2d_reg: 0.1533 loss_box3d_depth: 0.4813 loss_box3d_proj_ctr: 0.09237 loss_box3d_quat: 0.1287 loss_box3d_size: 0.07755 loss_centerness: 0.6152 loss_cls: 0.1069 loss_conf3d: 0.5318 lr: 0.002 max_mem: 5634M
[03/18 12:22:45 d2.utils.events]: eta: 2:23:53 iter: 15540 total_loss: 2.208 loss_box2d_reg: 0.1518 loss_box3d_depth: 0.5114 loss_box3d_proj_ctr: 0.08976 loss_box3d_quat: 0.1191 loss_box3d_size: 0.07618 loss_centerness: 0.6162 loss_cls: 0.1031 loss_conf3d: 0.5383 lr: 0.002 max_mem: 5634M
[03/18 12:23:03 d2.utils.events]: eta: 2:24:30 iter: 15560 total_loss: 2.278 loss_box2d_reg: 0.1516 loss_box3d_depth: 0.5457 loss_box3d_proj_ctr: 0.09179 loss_box3d_quat: 0.1242 loss_box3d_size: 0.07602 loss_centerness: 0.6147 loss_cls: 0.1043 loss_conf3d: 0.5478 lr: 0.002 max_mem: 5634M
[03/18 12:23:22 d2.utils.events]: eta: 2:27:22 iter: 15580 total_loss: 2.297 loss_box2d_reg: 0.1547 loss_box3d_depth: 0.5584 loss_box3d_proj_ctr: 0.09173 loss_box3d_quat: 0.1281 loss_box3d_size: 0.07553 loss_centerness: 0.6161 loss_cls: 0.1062 loss_conf3d: 0.5535 lr: 0.002 max_mem: 5634M
[03/18 12:23:40 d2.utils.events]: eta: 2:22:34 iter: 15600 total_loss: 2.16 loss_box2d_reg: 0.1511 loss_box3d_depth: 0.4734 loss_box3d_proj_ctr: 0.08956 loss_box3d_quat: 0.1188 loss_box3d_size: 0.07482 loss_centerness: 0.6151 loss_cls: 0.1043 loss_conf3d: 0.5246 lr: 0.002 max_mem: 5634M
[03/18 12:23:58 d2.utils.events]: eta: 2:22:09 iter: 15620 total_loss: 2.152 loss_box2d_reg: 0.1535 loss_box3d_depth: 0.4686 loss_box3d_proj_ctr: 0.08637 loss_box3d_quat: 0.1209 loss_box3d_size: 0.07631 loss_centerness: 0.6152 loss_cls: 0.1036 loss_conf3d: 0.5222 lr: 0.002 max_mem: 5634M
[03/18 12:24:17 d2.utils.events]: eta: 2:26:45 iter: 15640 total_loss: 2.189 loss_box2d_reg: 0.153 loss_box3d_depth: 0.4757 loss_box3d_proj_ctr: 0.0921 loss_box3d_quat: 0.1275 loss_box3d_size: 0.07839 loss_centerness: 0.6153 loss_cls: 0.1063 loss_conf3d: 0.5283 lr: 0.002 max_mem: 5634M
[03/18 12:24:35 d2.utils.events]: eta: 2:23:36 iter: 15660 total_loss: 2.271 loss_box2d_reg: 0.1549 loss_box3d_depth: 0.5428 loss_box3d_proj_ctr: 0.08851 loss_box3d_quat: 0.1331 loss_box3d_size: 0.07769 loss_centerness: 0.6151 loss_cls: 0.1042 loss_conf3d: 0.5505 lr: 0.002 max_mem: 5634M
[03/18 12:24:53 d2.utils.events]: eta: 2:18:39 iter: 15680 total_loss: 2.221 loss_box2d_reg: 0.1521 loss_box3d_depth: 0.509 loss_box3d_proj_ctr: 0.08926 loss_box3d_quat: 0.1221 loss_box3d_size: 0.07655 loss_centerness: 0.6168 loss_cls: 0.1063 loss_conf3d: 0.5345 lr: 0.002 max_mem: 5634M
[03/18 12:25:13 d2.utils.events]: eta: 2:30:29 iter: 15700 total_loss: 2.297 loss_box2d_reg: 0.1564 loss_box3d_depth: 0.5473 loss_box3d_proj_ctr: 0.09183 loss_box3d_quat: 0.1302 loss_box3d_size: 0.08114 loss_centerness: 0.6149 loss_cls: 0.1051 loss_conf3d: 0.5437 lr: 0.002 max_mem: 5634M
[03/18 12:25:31 d2.utils.events]: eta: 2:22:39 iter: 15720 total_loss: 2.183 loss_box2d_reg: 0.1533 loss_box3d_depth: 0.4854 loss_box3d_proj_ctr: 0.087 loss_box3d_quat: 0.1221 loss_box3d_size: 0.07515 loss_centerness: 0.6157 loss_cls: 0.1065 loss_conf3d: 0.5277 lr: 0.002 max_mem: 5634M
[03/18 12:25:50 d2.utils.events]: eta: 2:24:13 iter: 15740 total_loss: 2.217 loss_box2d_reg: 0.1543 loss_box3d_depth: 0.5057 loss_box3d_proj_ctr: 0.09241 loss_box3d_quat: 0.1286 loss_box3d_size: 0.07758 loss_centerness: 0.6141 loss_cls: 0.1063 loss_conf3d: 0.5321 lr: 0.002 max_mem: 5634M
[03/18 12:26:10 d2.utils.events]: eta: 2:34:13 iter: 15760 total_loss: 2.235 loss_box2d_reg: 0.1527 loss_box3d_depth: 0.5277 loss_box3d_proj_ctr: 0.08981 loss_box3d_quat: 0.1259 loss_box3d_size: 0.0758 loss_centerness: 0.6159 loss_cls: 0.106 loss_conf3d: 0.5408 lr: 0.002 max_mem: 5634M
[03/18 12:26:28 d2.utils.events]: eta: 2:21:07 iter: 15780 total_loss: 2.272 loss_box2d_reg: 0.1534 loss_box3d_depth: 0.5414 loss_box3d_proj_ctr: 0.09333 loss_box3d_quat: 0.1427 loss_box3d_size: 0.07613 loss_centerness: 0.614 loss_cls: 0.1074 loss_conf3d: 0.5474 lr: 0.002 max_mem: 5634M
[03/18 12:26:47 d2.utils.events]: eta: 2:24:11 iter: 15800 total_loss: 2.188 loss_box2d_reg: 0.1527 loss_box3d_depth: 0.4944 loss_box3d_proj_ctr: 0.08818 loss_box3d_quat: 0.1275 loss_box3d_size: 0.07627 loss_centerness: 0.6152 loss_cls: 0.1035 loss_conf3d: 0.534 lr: 0.002 max_mem: 5634M
[03/18 12:27:06 d2.utils.events]: eta: 2:25:50 iter: 15820 total_loss: 2.281 loss_box2d_reg: 0.1519 loss_box3d_depth: 0.5531 loss_box3d_proj_ctr: 0.09071 loss_box3d_quat: 0.1317 loss_box3d_size: 0.07898 loss_centerness: 0.6151 loss_cls: 0.1055 loss_conf3d: 0.548 lr: 0.002 max_mem: 5634M
[03/18 12:27:24 d2.utils.events]: eta: 2:20:30 iter: 15840 total_loss: 2.235 loss_box2d_reg: 0.1535 loss_box3d_depth: 0.5092 loss_box3d_proj_ctr: 0.09099 loss_box3d_quat: 0.1293 loss_box3d_size: 0.08011 loss_centerness: 0.6148 loss_cls: 0.107 loss_conf3d: 0.5443 lr: 0.002 max_mem: 5634M
[03/18 12:27:43 d2.utils.events]: eta: 2:18:42 iter: 15860 total_loss: 2.208 loss_box2d_reg: 0.1539 loss_box3d_depth: 0.5097 loss_box3d_proj_ctr: 0.08967 loss_box3d_quat: 0.1195 loss_box3d_size: 0.07485 loss_centerness: 0.615 loss_cls: 0.1032 loss_conf3d: 0.5368 lr: 0.002 max_mem: 5634M
[03/18 12:28:01 d2.utils.events]: eta: 2:19:51 iter: 15880 total_loss: 2.191 loss_box2d_reg: 0.1505 loss_box3d_depth: 0.4914 loss_box3d_proj_ctr: 0.08711 loss_box3d_quat: 0.1291 loss_box3d_size: 0.07575 loss_centerness: 0.6154 loss_cls: 0.1035 loss_conf3d: 0.5299 lr: 0.002 max_mem: 5634M
[03/18 12:28:20 d2.utils.events]: eta: 2:22:02 iter: 15900 total_loss: 2.261 loss_box2d_reg: 0.1511 loss_box3d_depth: 0.5291 loss_box3d_proj_ctr: 0.08902 loss_box3d_quat: 0.1285 loss_box3d_size: 0.078 loss_centerness: 0.6154 loss_cls: 0.1041 loss_conf3d: 0.5437 lr: 0.002 max_mem: 5634M
[03/18 12:28:38 d2.utils.events]: eta: 2:16:56 iter: 15920 total_loss: 2.177 loss_box2d_reg: 0.154 loss_box3d_depth: 0.4981 loss_box3d_proj_ctr: 0.08794 loss_box3d_quat: 0.1205 loss_box3d_size: 0.07418 loss_centerness: 0.6157 loss_cls: 0.1046 loss_conf3d: 0.5301 lr: 0.002 max_mem: 5634M
[03/18 12:28:57 d2.utils.events]: eta: 2:20:40 iter: 15940 total_loss: 2.24 loss_box2d_reg: 0.1523 loss_box3d_depth: 0.5298 loss_box3d_proj_ctr: 0.09102 loss_box3d_quat: 0.1184 loss_box3d_size: 0.07717 loss_centerness: 0.6146 loss_cls: 0.1022 loss_conf3d: 0.5372 lr: 0.002 max_mem: 5634M
[03/18 12:29:15 d2.utils.events]: eta: 2:17:53 iter: 15960 total_loss: 2.262 loss_box2d_reg: 0.1496 loss_box3d_depth: 0.5393 loss_box3d_proj_ctr: 0.08698 loss_box3d_quat: 0.1217 loss_box3d_size: 0.07623 loss_centerness: 0.6153 loss_cls: 0.1015 loss_conf3d: 0.5395 lr: 0.002 max_mem: 5634M
[03/18 12:29:34 d2.utils.events]: eta: 2:22:27 iter: 15980 total_loss: 2.145 loss_box2d_reg: 0.1513 loss_box3d_depth: 0.4732 loss_box3d_proj_ctr: 0.08794 loss_box3d_quat: 0.1284 loss_box3d_size: 0.07571 loss_centerness: 0.6145 loss_cls: 0.1017 loss_conf3d: 0.5282 lr: 0.002 max_mem: 5634M
[03/18 12:29:54 d2.utils.events]: eta: 2:29:32 iter: 16000 total_loss: 2.197 loss_box2d_reg: 0.1543 loss_box3d_depth: 0.4954 loss_box3d_proj_ctr: 0.08712 loss_box3d_quat: 0.1138 loss_box3d_size: 0.07703 loss_centerness: 0.616 loss_cls: 0.1045 loss_conf3d: 0.5342 lr: 0.002 max_mem: 5634M
[03/18 12:29:58 fvcore.common.checkpoint]: Saving checkpoint to ./model_0015999.pth
[03/18 12:29:59 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 12:29:59 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 12:30:00 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 12:30:00 tridet.data.build]: Using test sampler InferenceSampler
[03/18 12:30:00 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 12:30:09 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 0.3160 s/iter. Eval: 0.3866 s/iter. Total: 0.7035 s/iter. ETA=0:00:26
[03/18 12:30:14 d2.evaluation.evaluator]: Inference done 18/48. Dataloading: 0.0013 s/iter. Inference: 0.3214 s/iter. Eval: 0.3876 s/iter. Total: 0.7104 s/iter. ETA=0:00:21
[03/18 12:30:19 d2.evaluation.evaluator]: Inference done 25/48. Dataloading: 0.0013 s/iter. Inference: 0.3183 s/iter. Eval: 0.3934 s/iter. Total: 0.7131 s/iter. ETA=0:00:16
[03/18 12:30:25 d2.evaluation.evaluator]: Inference done 33/48. Dataloading: 0.0012 s/iter. Inference: 0.3152 s/iter. Eval: 0.3883 s/iter. Total: 0.7049 s/iter. ETA=0:00:10
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 12:30:30 d2.evaluation.evaluator]: Inference done 41/48. Dataloading: 0.0012 s/iter. Inference: 0.3129 s/iter. Eval: 0.3902 s/iter. Total: 0.7044 s/iter. ETA=0:00:04
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 12:30:35 d2.evaluation.evaluator]: Total inference time: 0:00:29.917082 (0.695746 s / iter per device, on 8 devices)
[03/18 12:30:35 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:12 (0.302281 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 12:30:35 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 12:30:35 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0016000/kitti_3d_val/coco_instances_results.json
[03/18 12:30:36 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.54s)
creating index...
index created!
[03/18 12:30:37 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 12:30:38 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.44 seconds.
[03/18 12:30:38 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 12:30:38 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.34 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.143
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.267
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.141
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.048
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.135
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.229
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.126
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.254
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.275
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.262
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.456
[03/18 12:30:38 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.328 26.674 14.107 4.751 13.535 22.919
[03/18 12:30:38 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 43.026 Pedestrian 15.295 Cyclist 1.524
Van 8.968 Truck 2.828
[03/18 12:31:02 tridet]: Running prediction visualizer: d2_visualizer
[03/18 12:31:02 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.33it/s][03/18 12:31:06 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.33it/s][03/18 12:31:22 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 12:31:22 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.3281
kitti_3d_val/bbox/AP50 26.6735
kitti_3d_val/bbox/AP75 14.107
kitti_3d_val/bbox/APs 4.75102
kitti_3d_val/bbox/APm 13.5346
kitti_3d_val/bbox/APl 22.9187
kitti_3d_val/bbox/AP-Car 43.0257
kitti_3d_val/bbox/AP-Pedestrian 15.2949
kitti_3d_val/bbox/AP-Cyclist 1.52391
kitti_3d_val/bbox/AP-Van 8.96786
kitti_3d_val/bbox/AP-Truck 2.82821
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 20.2603
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 2.91833
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 14.7687
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 1.99297
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 13.526
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.35383
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.359833
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.283311
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.172632
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.00640843
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 2.65548
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 1.30445
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.57656
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 2.1725
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.247748
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.285088
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 24.9819
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 6.86732
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 18.5828
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 4.35771
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 17.5563
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 3.77123
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 0.746703
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 0.602877
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.539234
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.00565099
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 6.31484
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.285812
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 3.15519
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.131339
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.73898
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0373134
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 4.70957
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.502451
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.635947
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 12:31:39 d2.utils.events]: eta: 13:10:46 iter: 16020 total_loss: 2.202 loss_box2d_reg: 0.1484 loss_box3d_depth: 0.4989 loss_box3d_proj_ctr: 0.08938 loss_box3d_quat: 0.1171 loss_box3d_size: 0.07787 loss_centerness: 0.615 loss_cls: 0.1025 loss_conf3d: 0.5389 lr: 0.002 max_mem: 5634M
[03/18 12:31:57 d2.utils.events]: eta: 2:13:07 iter: 16040 total_loss: 2.204 loss_box2d_reg: 0.1496 loss_box3d_depth: 0.5141 loss_box3d_proj_ctr: 0.08864 loss_box3d_quat: 0.1203 loss_box3d_size: 0.07518 loss_centerness: 0.6155 loss_cls: 0.1028 loss_conf3d: 0.5359 lr: 0.002 max_mem: 5634M
[03/18 12:32:16 d2.utils.events]: eta: 2:20:21 iter: 16060 total_loss: 2.16 loss_box2d_reg: 0.1499 loss_box3d_depth: 0.4769 loss_box3d_proj_ctr: 0.08594 loss_box3d_quat: 0.1272 loss_box3d_size: 0.07664 loss_centerness: 0.6143 loss_cls: 0.1026 loss_conf3d: 0.5327 lr: 0.002 max_mem: 5634M
[03/18 12:32:34 d2.utils.events]: eta: 2:14:01 iter: 16080 total_loss: 2.211 loss_box2d_reg: 0.1507 loss_box3d_depth: 0.5051 loss_box3d_proj_ctr: 0.08948 loss_box3d_quat: 0.1261 loss_box3d_size: 0.07589 loss_centerness: 0.6154 loss_cls: 0.1019 loss_conf3d: 0.5356 lr: 0.002 max_mem: 5634M
[03/18 12:32:52 d2.utils.events]: eta: 2:14:24 iter: 16100 total_loss: 2.171 loss_box2d_reg: 0.1511 loss_box3d_depth: 0.4861 loss_box3d_proj_ctr: 0.09015 loss_box3d_quat: 0.1245 loss_box3d_size: 0.07552 loss_centerness: 0.6152 loss_cls: 0.1038 loss_conf3d: 0.5328 lr: 0.002 max_mem: 5634M
[03/18 12:33:11 d2.utils.events]: eta: 2:20:07 iter: 16120 total_loss: 2.207 loss_box2d_reg: 0.1527 loss_box3d_depth: 0.5153 loss_box3d_proj_ctr: 0.09095 loss_box3d_quat: 0.1169 loss_box3d_size: 0.0765 loss_centerness: 0.6167 loss_cls: 0.1039 loss_conf3d: 0.5353 lr: 0.002 max_mem: 5634M
[03/18 12:33:30 d2.utils.events]: eta: 2:15:31 iter: 16140 total_loss: 2.378 loss_box2d_reg: 0.1513 loss_box3d_depth: 0.6383 loss_box3d_proj_ctr: 0.08839 loss_box3d_quat: 0.1134 loss_box3d_size: 0.07374 loss_centerness: 0.6146 loss_cls: 0.1012 loss_conf3d: 0.5721 lr: 0.002 max_mem: 5634M
[03/18 12:33:48 d2.utils.events]: eta: 2:13:32 iter: 16160 total_loss: 2.21 loss_box2d_reg: 0.1532 loss_box3d_depth: 0.5091 loss_box3d_proj_ctr: 0.09305 loss_box3d_quat: 0.1261 loss_box3d_size: 0.076 loss_centerness: 0.6142 loss_cls: 0.102 loss_conf3d: 0.5379 lr: 0.002 max_mem: 5634M
[03/18 12:34:07 d2.utils.events]: eta: 2:20:23 iter: 16180 total_loss: 2.144 loss_box2d_reg: 0.15 loss_box3d_depth: 0.4791 loss_box3d_proj_ctr: 0.08772 loss_box3d_quat: 0.1137 loss_box3d_size: 0.07627 loss_centerness: 0.6138 loss_cls: 0.1044 loss_conf3d: 0.5252 lr: 0.002 max_mem: 5634M
[03/18 12:34:25 d2.utils.events]: eta: 2:12:23 iter: 16200 total_loss: 2.15 loss_box2d_reg: 0.1513 loss_box3d_depth: 0.4757 loss_box3d_proj_ctr: 0.08517 loss_box3d_quat: 0.1194 loss_box3d_size: 0.07425 loss_centerness: 0.6144 loss_cls: 0.101 loss_conf3d: 0.528 lr: 0.002 max_mem: 5634M
[03/18 12:34:44 d2.utils.events]: eta: 2:17:47 iter: 16220 total_loss: 2.321 loss_box2d_reg: 0.1532 loss_box3d_depth: 0.577 loss_box3d_proj_ctr: 0.08968 loss_box3d_quat: 0.1175 loss_box3d_size: 0.07611 loss_centerness: 0.6146 loss_cls: 0.1029 loss_conf3d: 0.5554 lr: 0.002 max_mem: 5634M
[03/18 12:35:03 d2.utils.events]: eta: 2:19:33 iter: 16240 total_loss: 2.279 loss_box2d_reg: 0.1526 loss_box3d_depth: 0.5615 loss_box3d_proj_ctr: 0.08838 loss_box3d_quat: 0.1322 loss_box3d_size: 0.07833 loss_centerness: 0.6153 loss_cls: 0.105 loss_conf3d: 0.5517 lr: 0.002 max_mem: 5634M
[03/18 12:35:22 d2.utils.events]: eta: 2:18:16 iter: 16260 total_loss: 2.274 loss_box2d_reg: 0.1503 loss_box3d_depth: 0.5637 loss_box3d_proj_ctr: 0.094 loss_box3d_quat: 0.1271 loss_box3d_size: 0.07628 loss_centerness: 0.615 loss_cls: 0.104 loss_conf3d: 0.5449 lr: 0.002 max_mem: 5634M
[03/18 12:35:41 d2.utils.events]: eta: 2:19:00 iter: 16280 total_loss: 2.195 loss_box2d_reg: 0.1522 loss_box3d_depth: 0.4993 loss_box3d_proj_ctr: 0.08746 loss_box3d_quat: 0.1244 loss_box3d_size: 0.07497 loss_centerness: 0.6155 loss_cls: 0.1017 loss_conf3d: 0.5387 lr: 0.002 max_mem: 5634M
[03/18 12:36:00 d2.utils.events]: eta: 2:19:40 iter: 16300 total_loss: 2.196 loss_box2d_reg: 0.1536 loss_box3d_depth: 0.4845 loss_box3d_proj_ctr: 0.08766 loss_box3d_quat: 0.1283 loss_box3d_size: 0.07433 loss_centerness: 0.6161 loss_cls: 0.1054 loss_conf3d: 0.5296 lr: 0.002 max_mem: 5634M
[03/18 12:36:19 d2.utils.events]: eta: 2:18:03 iter: 16320 total_loss: 2.223 loss_box2d_reg: 0.1492 loss_box3d_depth: 0.5265 loss_box3d_proj_ctr: 0.0901 loss_box3d_quat: 0.1239 loss_box3d_size: 0.07545 loss_centerness: 0.6143 loss_cls: 0.0998 loss_conf3d: 0.5376 lr: 0.002 max_mem: 5634M
[03/18 12:36:38 d2.utils.events]: eta: 2:17:14 iter: 16340 total_loss: 2.159 loss_box2d_reg: 0.1503 loss_box3d_depth: 0.4714 loss_box3d_proj_ctr: 0.08832 loss_box3d_quat: 0.1173 loss_box3d_size: 0.07735 loss_centerness: 0.6138 loss_cls: 0.1024 loss_conf3d: 0.5268 lr: 0.002 max_mem: 5634M
[03/18 12:36:57 d2.utils.events]: eta: 2:16:13 iter: 16360 total_loss: 2.123 loss_box2d_reg: 0.1462 loss_box3d_depth: 0.4607 loss_box3d_proj_ctr: 0.08693 loss_box3d_quat: 0.1203 loss_box3d_size: 0.07471 loss_centerness: 0.6137 loss_cls: 0.1015 loss_conf3d: 0.52 lr: 0.002 max_mem: 5634M
[03/18 12:37:16 d2.utils.events]: eta: 2:15:20 iter: 16380 total_loss: 2.218 loss_box2d_reg: 0.1539 loss_box3d_depth: 0.5143 loss_box3d_proj_ctr: 0.08816 loss_box3d_quat: 0.1283 loss_box3d_size: 0.07563 loss_centerness: 0.6141 loss_cls: 0.1027 loss_conf3d: 0.5416 lr: 0.002 max_mem: 5634M
[03/18 12:37:35 d2.utils.events]: eta: 2:15:49 iter: 16400 total_loss: 2.186 loss_box2d_reg: 0.1501 loss_box3d_depth: 0.4838 loss_box3d_proj_ctr: 0.08978 loss_box3d_quat: 0.121 loss_box3d_size: 0.07685 loss_centerness: 0.6147 loss_cls: 0.09905 loss_conf3d: 0.5332 lr: 0.002 max_mem: 5634M
[03/18 12:37:54 d2.utils.events]: eta: 2:17:32 iter: 16420 total_loss: 2.322 loss_box2d_reg: 0.1484 loss_box3d_depth: 0.5911 loss_box3d_proj_ctr: 0.0902 loss_box3d_quat: 0.1285 loss_box3d_size: 0.0745 loss_centerness: 0.6157 loss_cls: 0.1047 loss_conf3d: 0.5675 lr: 0.002 max_mem: 5634M
[03/18 12:38:13 d2.utils.events]: eta: 2:11:23 iter: 16440 total_loss: 2.448 loss_box2d_reg: 0.1531 loss_box3d_depth: 0.7017 loss_box3d_proj_ctr: 0.08946 loss_box3d_quat: 0.1229 loss_box3d_size: 0.0769 loss_centerness: 0.6157 loss_cls: 0.1034 loss_conf3d: 0.5895 lr: 0.002 max_mem: 5634M
[03/18 12:38:32 d2.utils.events]: eta: 2:14:03 iter: 16460 total_loss: 2.276 loss_box2d_reg: 0.1497 loss_box3d_depth: 0.5573 loss_box3d_proj_ctr: 0.08565 loss_box3d_quat: 0.1275 loss_box3d_size: 0.07439 loss_centerness: 0.6141 loss_cls: 0.1015 loss_conf3d: 0.5585 lr: 0.002 max_mem: 5634M
[03/18 12:38:51 d2.utils.events]: eta: 2:15:33 iter: 16480 total_loss: 2.204 loss_box2d_reg: 0.1481 loss_box3d_depth: 0.5018 loss_box3d_proj_ctr: 0.08832 loss_box3d_quat: 0.1243 loss_box3d_size: 0.07504 loss_centerness: 0.6142 loss_cls: 0.1001 loss_conf3d: 0.5389 lr: 0.002 max_mem: 5634M
[03/18 12:39:09 d2.utils.events]: eta: 2:13:33 iter: 16500 total_loss: 2.201 loss_box2d_reg: 0.1516 loss_box3d_depth: 0.4866 loss_box3d_proj_ctr: 0.09041 loss_box3d_quat: 0.1299 loss_box3d_size: 0.07735 loss_centerness: 0.6161 loss_cls: 0.1056 loss_conf3d: 0.5305 lr: 0.002 max_mem: 5634M
[03/18 12:39:28 d2.utils.events]: eta: 2:13:11 iter: 16520 total_loss: 2.194 loss_box2d_reg: 0.1522 loss_box3d_depth: 0.4978 loss_box3d_proj_ctr: 0.08782 loss_box3d_quat: 0.1302 loss_box3d_size: 0.07538 loss_centerness: 0.6142 loss_cls: 0.1039 loss_conf3d: 0.5306 lr: 0.002 max_mem: 5634M
[03/18 12:39:48 d2.utils.events]: eta: 2:16:40 iter: 16540 total_loss: 2.274 loss_box2d_reg: 0.1555 loss_box3d_depth: 0.5536 loss_box3d_proj_ctr: 0.09281 loss_box3d_quat: 0.1261 loss_box3d_size: 0.07423 loss_centerness: 0.6162 loss_cls: 0.1037 loss_conf3d: 0.5469 lr: 0.002 max_mem: 5634M
[03/18 12:40:06 d2.utils.events]: eta: 2:10:15 iter: 16560 total_loss: 2.181 loss_box2d_reg: 0.1493 loss_box3d_depth: 0.4847 loss_box3d_proj_ctr: 0.08782 loss_box3d_quat: 0.1195 loss_box3d_size: 0.07597 loss_centerness: 0.6143 loss_cls: 0.09901 loss_conf3d: 0.5332 lr: 0.002 max_mem: 5634M
[03/18 12:40:25 d2.utils.events]: eta: 2:14:53 iter: 16580 total_loss: 2.144 loss_box2d_reg: 0.1489 loss_box3d_depth: 0.4807 loss_box3d_proj_ctr: 0.08503 loss_box3d_quat: 0.1162 loss_box3d_size: 0.07311 loss_centerness: 0.6131 loss_cls: 0.1051 loss_conf3d: 0.5306 lr: 0.002 max_mem: 5634M
[03/18 12:40:45 d2.utils.events]: eta: 2:17:14 iter: 16600 total_loss: 2.17 loss_box2d_reg: 0.1504 loss_box3d_depth: 0.4804 loss_box3d_proj_ctr: 0.08728 loss_box3d_quat: 0.1161 loss_box3d_size: 0.07314 loss_centerness: 0.6151 loss_cls: 0.1037 loss_conf3d: 0.5271 lr: 0.002 max_mem: 5634M
[03/18 12:41:04 d2.utils.events]: eta: 2:08:55 iter: 16620 total_loss: 2.142 loss_box2d_reg: 0.1475 loss_box3d_depth: 0.4754 loss_box3d_proj_ctr: 0.08635 loss_box3d_quat: 0.1166 loss_box3d_size: 0.07434 loss_centerness: 0.6145 loss_cls: 0.1009 loss_conf3d: 0.5242 lr: 0.002 max_mem: 5634M
[03/18 12:41:24 d2.utils.events]: eta: 2:19:14 iter: 16640 total_loss: 2.172 loss_box2d_reg: 0.1519 loss_box3d_depth: 0.4809 loss_box3d_proj_ctr: 0.08727 loss_box3d_quat: 0.1273 loss_box3d_size: 0.07658 loss_centerness: 0.6145 loss_cls: 0.1031 loss_conf3d: 0.5332 lr: 0.002 max_mem: 5634M
[03/18 12:41:42 d2.utils.events]: eta: 2:08:19 iter: 16660 total_loss: 2.163 loss_box2d_reg: 0.1514 loss_box3d_depth: 0.4718 loss_box3d_proj_ctr: 0.08694 loss_box3d_quat: 0.121 loss_box3d_size: 0.07561 loss_centerness: 0.6145 loss_cls: 0.09864 loss_conf3d: 0.5274 lr: 0.002 max_mem: 5634M
[03/18 12:42:01 d2.utils.events]: eta: 2:09:42 iter: 16680 total_loss: 2.245 loss_box2d_reg: 0.1483 loss_box3d_depth: 0.5573 loss_box3d_proj_ctr: 0.08325 loss_box3d_quat: 0.1168 loss_box3d_size: 0.07371 loss_centerness: 0.6136 loss_cls: 0.1003 loss_conf3d: 0.5501 lr: 0.002 max_mem: 5634M
[03/18 12:42:20 d2.utils.events]: eta: 2:11:34 iter: 16700 total_loss: 2.234 loss_box2d_reg: 0.153 loss_box3d_depth: 0.5228 loss_box3d_proj_ctr: 0.08734 loss_box3d_quat: 0.1168 loss_box3d_size: 0.0761 loss_centerness: 0.6135 loss_cls: 0.1065 loss_conf3d: 0.5378 lr: 0.002 max_mem: 5634M
[03/18 12:42:40 d2.utils.events]: eta: 2:17:57 iter: 16720 total_loss: 2.285 loss_box2d_reg: 0.1488 loss_box3d_depth: 0.5769 loss_box3d_proj_ctr: 0.08593 loss_box3d_quat: 0.1137 loss_box3d_size: 0.07523 loss_centerness: 0.6147 loss_cls: 0.1043 loss_conf3d: 0.5539 lr: 0.002 max_mem: 5634M
[03/18 12:42:59 d2.utils.events]: eta: 2:10:13 iter: 16740 total_loss: 2.326 loss_box2d_reg: 0.1481 loss_box3d_depth: 0.6063 loss_box3d_proj_ctr: 0.08962 loss_box3d_quat: 0.1178 loss_box3d_size: 0.073 loss_centerness: 0.6132 loss_cls: 0.1019 loss_conf3d: 0.5665 lr: 0.002 max_mem: 5634M
[03/18 12:43:18 d2.utils.events]: eta: 2:13:49 iter: 16760 total_loss: 2.206 loss_box2d_reg: 0.1477 loss_box3d_depth: 0.5047 loss_box3d_proj_ctr: 0.08739 loss_box3d_quat: 0.1153 loss_box3d_size: 0.07366 loss_centerness: 0.6138 loss_cls: 0.0999 loss_conf3d: 0.5312 lr: 0.002 max_mem: 5634M
[03/18 12:43:38 d2.utils.events]: eta: 2:15:22 iter: 16780 total_loss: 2.212 loss_box2d_reg: 0.1514 loss_box3d_depth: 0.52 loss_box3d_proj_ctr: 0.08521 loss_box3d_quat: 0.1195 loss_box3d_size: 0.07288 loss_centerness: 0.6147 loss_cls: 0.1039 loss_conf3d: 0.54 lr: 0.002 max_mem: 5634M
[03/18 12:43:57 d2.utils.events]: eta: 2:12:27 iter: 16800 total_loss: 2.165 loss_box2d_reg: 0.1478 loss_box3d_depth: 0.5023 loss_box3d_proj_ctr: 0.08537 loss_box3d_quat: 0.1166 loss_box3d_size: 0.07825 loss_centerness: 0.6144 loss_cls: 0.1006 loss_conf3d: 0.534 lr: 0.002 max_mem: 5634M
[03/18 12:44:16 d2.utils.events]: eta: 2:10:16 iter: 16820 total_loss: 2.16 loss_box2d_reg: 0.149 loss_box3d_depth: 0.4958 loss_box3d_proj_ctr: 0.08516 loss_box3d_quat: 0.1074 loss_box3d_size: 0.0733 loss_centerness: 0.615 loss_cls: 0.1017 loss_conf3d: 0.5263 lr: 0.002 max_mem: 5634M
[03/18 12:44:36 d2.utils.events]: eta: 2:10:44 iter: 16840 total_loss: 2.242 loss_box2d_reg: 0.1496 loss_box3d_depth: 0.5652 loss_box3d_proj_ctr: 0.08774 loss_box3d_quat: 0.1137 loss_box3d_size: 0.07409 loss_centerness: 0.6143 loss_cls: 0.09977 loss_conf3d: 0.548 lr: 0.002 max_mem: 5634M
[03/18 12:44:55 d2.utils.events]: eta: 2:11:15 iter: 16860 total_loss: 2.185 loss_box2d_reg: 0.1518 loss_box3d_depth: 0.5076 loss_box3d_proj_ctr: 0.08746 loss_box3d_quat: 0.1199 loss_box3d_size: 0.07397 loss_centerness: 0.6151 loss_cls: 0.1026 loss_conf3d: 0.5315 lr: 0.002 max_mem: 5634M
[03/18 12:45:15 d2.utils.events]: eta: 2:12:34 iter: 16880 total_loss: 2.2 loss_box2d_reg: 0.1493 loss_box3d_depth: 0.5141 loss_box3d_proj_ctr: 0.08932 loss_box3d_quat: 0.1105 loss_box3d_size: 0.07404 loss_centerness: 0.6146 loss_cls: 0.1028 loss_conf3d: 0.5351 lr: 0.002 max_mem: 5634M
[03/18 12:45:34 d2.utils.events]: eta: 2:10:32 iter: 16900 total_loss: 2.133 loss_box2d_reg: 0.1485 loss_box3d_depth: 0.4692 loss_box3d_proj_ctr: 0.08644 loss_box3d_quat: 0.1136 loss_box3d_size: 0.0751 loss_centerness: 0.6148 loss_cls: 0.09916 loss_conf3d: 0.5245 lr: 0.002 max_mem: 5634M
[03/18 12:45:53 d2.utils.events]: eta: 2:06:08 iter: 16920 total_loss: 2.099 loss_box2d_reg: 0.1452 loss_box3d_depth: 0.4526 loss_box3d_proj_ctr: 0.08373 loss_box3d_quat: 0.1125 loss_box3d_size: 0.07312 loss_centerness: 0.6144 loss_cls: 0.09856 loss_conf3d: 0.5183 lr: 0.002 max_mem: 5634M
[03/18 12:46:11 d2.utils.events]: eta: 2:06:13 iter: 16940 total_loss: 2.137 loss_box2d_reg: 0.1484 loss_box3d_depth: 0.469 loss_box3d_proj_ctr: 0.08461 loss_box3d_quat: 0.1133 loss_box3d_size: 0.07414 loss_centerness: 0.614 loss_cls: 0.09923 loss_conf3d: 0.5285 lr: 0.002 max_mem: 5634M
[03/18 12:46:31 d2.utils.events]: eta: 2:12:17 iter: 16960 total_loss: 2.168 loss_box2d_reg: 0.1464 loss_box3d_depth: 0.5032 loss_box3d_proj_ctr: 0.08814 loss_box3d_quat: 0.1093 loss_box3d_size: 0.07307 loss_centerness: 0.6143 loss_cls: 0.09975 loss_conf3d: 0.5314 lr: 0.002 max_mem: 5634M
[03/18 12:46:51 d2.utils.events]: eta: 2:09:00 iter: 16980 total_loss: 2.149 loss_box2d_reg: 0.1485 loss_box3d_depth: 0.4761 loss_box3d_proj_ctr: 0.08648 loss_box3d_quat: 0.1183 loss_box3d_size: 0.07344 loss_centerness: 0.6145 loss_cls: 0.0996 loss_conf3d: 0.5275 lr: 0.002 max_mem: 5634M
[03/18 12:47:10 d2.utils.events]: eta: 2:07:07 iter: 17000 total_loss: 2.134 loss_box2d_reg: 0.1474 loss_box3d_depth: 0.4701 loss_box3d_proj_ctr: 0.08272 loss_box3d_quat: 0.1124 loss_box3d_size: 0.07316 loss_centerness: 0.614 loss_cls: 0.1009 loss_conf3d: 0.5288 lr: 0.002 max_mem: 5634M
[03/18 12:47:35 d2.utils.events]: eta: 2:48:08 iter: 17020 total_loss: 2.171 loss_box2d_reg: 0.1459 loss_box3d_depth: 0.5001 loss_box3d_proj_ctr: 0.08534 loss_box3d_quat: 0.1082 loss_box3d_size: 0.073 loss_centerness: 0.6149 loss_cls: 0.09951 loss_conf3d: 0.532 lr: 0.002 max_mem: 5634M
[03/18 12:47:53 d2.utils.events]: eta: 2:02:57 iter: 17040 total_loss: 2.172 loss_box2d_reg: 0.1479 loss_box3d_depth: 0.4882 loss_box3d_proj_ctr: 0.08825 loss_box3d_quat: 0.121 loss_box3d_size: 0.07303 loss_centerness: 0.6147 loss_cls: 0.09947 loss_conf3d: 0.5284 lr: 0.002 max_mem: 5634M
[03/18 12:48:12 d2.utils.events]: eta: 2:03:35 iter: 17060 total_loss: 2.14 loss_box2d_reg: 0.1496 loss_box3d_depth: 0.4803 loss_box3d_proj_ctr: 0.08719 loss_box3d_quat: 0.1127 loss_box3d_size: 0.07165 loss_centerness: 0.6142 loss_cls: 0.09898 loss_conf3d: 0.5215 lr: 0.002 max_mem: 5634M
[03/18 12:48:32 d2.utils.events]: eta: 2:09:02 iter: 17080 total_loss: 2.202 loss_box2d_reg: 0.1468 loss_box3d_depth: 0.4987 loss_box3d_proj_ctr: 0.08581 loss_box3d_quat: 0.1201 loss_box3d_size: 0.07287 loss_centerness: 0.6135 loss_cls: 0.1021 loss_conf3d: 0.5404 lr: 0.002 max_mem: 5634M
[03/18 12:48:50 d2.utils.events]: eta: 2:00:24 iter: 17100 total_loss: 2.156 loss_box2d_reg: 0.1477 loss_box3d_depth: 0.4968 loss_box3d_proj_ctr: 0.08684 loss_box3d_quat: 0.1149 loss_box3d_size: 0.07338 loss_centerness: 0.6133 loss_cls: 0.09884 loss_conf3d: 0.5327 lr: 0.002 max_mem: 5634M
[03/18 12:49:09 d2.utils.events]: eta: 2:02:44 iter: 17120 total_loss: 2.09 loss_box2d_reg: 0.1495 loss_box3d_depth: 0.4556 loss_box3d_proj_ctr: 0.08729 loss_box3d_quat: 0.1158 loss_box3d_size: 0.07475 loss_centerness: 0.6142 loss_cls: 0.0962 loss_conf3d: 0.5129 lr: 0.002 max_mem: 5634M
[03/18 12:49:27 d2.utils.events]: eta: 2:00:37 iter: 17140 total_loss: 2.143 loss_box2d_reg: 0.1424 loss_box3d_depth: 0.4833 loss_box3d_proj_ctr: 0.0828 loss_box3d_quat: 0.1084 loss_box3d_size: 0.07176 loss_centerness: 0.6141 loss_cls: 0.09768 loss_conf3d: 0.5217 lr: 0.002 max_mem: 5634M
[03/18 12:49:46 d2.utils.events]: eta: 2:00:50 iter: 17160 total_loss: 2.138 loss_box2d_reg: 0.1483 loss_box3d_depth: 0.477 loss_box3d_proj_ctr: 0.08557 loss_box3d_quat: 0.1163 loss_box3d_size: 0.07488 loss_centerness: 0.6155 loss_cls: 0.09927 loss_conf3d: 0.5178 lr: 0.002 max_mem: 5634M
[03/18 12:50:04 d2.utils.events]: eta: 1:58:36 iter: 17180 total_loss: 2.257 loss_box2d_reg: 0.1496 loss_box3d_depth: 0.5566 loss_box3d_proj_ctr: 0.08538 loss_box3d_quat: 0.1104 loss_box3d_size: 0.07382 loss_centerness: 0.6134 loss_cls: 0.1001 loss_conf3d: 0.5501 lr: 0.002 max_mem: 5634M
[03/18 12:50:23 d2.utils.events]: eta: 2:03:29 iter: 17200 total_loss: 2.371 loss_box2d_reg: 0.1475 loss_box3d_depth: 0.6454 loss_box3d_proj_ctr: 0.08449 loss_box3d_quat: 0.115 loss_box3d_size: 0.07281 loss_centerness: 0.6146 loss_cls: 0.09967 loss_conf3d: 0.5722 lr: 0.002 max_mem: 5634M
[03/18 12:50:41 d2.utils.events]: eta: 1:56:56 iter: 17220 total_loss: 2.355 loss_box2d_reg: 0.1539 loss_box3d_depth: 0.6174 loss_box3d_proj_ctr: 0.09206 loss_box3d_quat: 0.1236 loss_box3d_size: 0.07505 loss_centerness: 0.6151 loss_cls: 0.1034 loss_conf3d: 0.5673 lr: 0.002 max_mem: 5634M
[03/18 12:50:59 d2.utils.events]: eta: 1:56:24 iter: 17240 total_loss: 2.147 loss_box2d_reg: 0.1478 loss_box3d_depth: 0.4773 loss_box3d_proj_ctr: 0.08655 loss_box3d_quat: 0.1185 loss_box3d_size: 0.0743 loss_centerness: 0.6152 loss_cls: 0.1015 loss_conf3d: 0.5278 lr: 0.002 max_mem: 5634M
[03/18 12:51:17 d2.utils.events]: eta: 1:59:06 iter: 17260 total_loss: 2.138 loss_box2d_reg: 0.1462 loss_box3d_depth: 0.4699 loss_box3d_proj_ctr: 0.08318 loss_box3d_quat: 0.1143 loss_box3d_size: 0.07072 loss_centerness: 0.6145 loss_cls: 0.1014 loss_conf3d: 0.5245 lr: 0.002 max_mem: 5634M
[03/18 12:51:36 d2.utils.events]: eta: 2:00:21 iter: 17280 total_loss: 2.274 loss_box2d_reg: 0.1477 loss_box3d_depth: 0.5864 loss_box3d_proj_ctr: 0.08131 loss_box3d_quat: 0.1156 loss_box3d_size: 0.0736 loss_centerness: 0.6145 loss_cls: 0.1005 loss_conf3d: 0.555 lr: 0.002 max_mem: 5634M
[03/18 12:51:54 d2.utils.events]: eta: 1:54:25 iter: 17300 total_loss: 2.146 loss_box2d_reg: 0.149 loss_box3d_depth: 0.4792 loss_box3d_proj_ctr: 0.08467 loss_box3d_quat: 0.1127 loss_box3d_size: 0.07251 loss_centerness: 0.6134 loss_cls: 0.1002 loss_conf3d: 0.5282 lr: 0.002 max_mem: 5634M
[03/18 12:52:12 d2.utils.events]: eta: 1:57:11 iter: 17320 total_loss: 2.112 loss_box2d_reg: 0.1477 loss_box3d_depth: 0.4586 loss_box3d_proj_ctr: 0.08679 loss_box3d_quat: 0.1043 loss_box3d_size: 0.07361 loss_centerness: 0.6137 loss_cls: 0.09732 loss_conf3d: 0.519 lr: 0.002 max_mem: 5634M
[03/18 12:52:31 d2.utils.events]: eta: 1:57:57 iter: 17340 total_loss: 2.086 loss_box2d_reg: 0.1457 loss_box3d_depth: 0.4468 loss_box3d_proj_ctr: 0.08579 loss_box3d_quat: 0.1161 loss_box3d_size: 0.07166 loss_centerness: 0.6137 loss_cls: 0.09495 loss_conf3d: 0.5156 lr: 0.002 max_mem: 5634M
[03/18 12:52:49 d2.utils.events]: eta: 1:54:05 iter: 17360 total_loss: 2.078 loss_box2d_reg: 0.1511 loss_box3d_depth: 0.4399 loss_box3d_proj_ctr: 0.08245 loss_box3d_quat: 0.1142 loss_box3d_size: 0.07405 loss_centerness: 0.6145 loss_cls: 0.09912 loss_conf3d: 0.5077 lr: 0.002 max_mem: 5634M
[03/18 12:53:07 d2.utils.events]: eta: 1:59:16 iter: 17380 total_loss: 2.102 loss_box2d_reg: 0.1455 loss_box3d_depth: 0.4626 loss_box3d_proj_ctr: 0.08353 loss_box3d_quat: 0.1081 loss_box3d_size: 0.07207 loss_centerness: 0.6133 loss_cls: 0.09799 loss_conf3d: 0.5195 lr: 0.002 max_mem: 5634M
[03/18 12:53:26 d2.utils.events]: eta: 1:55:50 iter: 17400 total_loss: 2.098 loss_box2d_reg: 0.1462 loss_box3d_depth: 0.4557 loss_box3d_proj_ctr: 0.08526 loss_box3d_quat: 0.1062 loss_box3d_size: 0.07059 loss_centerness: 0.6146 loss_cls: 0.09514 loss_conf3d: 0.5202 lr: 0.002 max_mem: 5634M
[03/18 12:53:45 d2.utils.events]: eta: 1:59:26 iter: 17420 total_loss: 2.1 loss_box2d_reg: 0.1431 loss_box3d_depth: 0.4611 loss_box3d_proj_ctr: 0.08193 loss_box3d_quat: 0.1052 loss_box3d_size: 0.07098 loss_centerness: 0.614 loss_cls: 0.09726 loss_conf3d: 0.52 lr: 0.002 max_mem: 5634M
[03/18 12:54:03 d2.utils.events]: eta: 1:56:11 iter: 17440 total_loss: 2.098 loss_box2d_reg: 0.1477 loss_box3d_depth: 0.4453 loss_box3d_proj_ctr: 0.08129 loss_box3d_quat: 0.1132 loss_box3d_size: 0.07053 loss_centerness: 0.615 loss_cls: 0.09633 loss_conf3d: 0.5198 lr: 0.002 max_mem: 5634M
[03/18 12:54:21 d2.utils.events]: eta: 1:52:27 iter: 17460 total_loss: 2.039 loss_box2d_reg: 0.144 loss_box3d_depth: 0.414 loss_box3d_proj_ctr: 0.08156 loss_box3d_quat: 0.1156 loss_box3d_size: 0.07339 loss_centerness: 0.6137 loss_cls: 0.09642 loss_conf3d: 0.5074 lr: 0.002 max_mem: 5634M
[03/18 12:54:39 d2.utils.events]: eta: 1:53:30 iter: 17480 total_loss: 2.055 loss_box2d_reg: 0.1431 loss_box3d_depth: 0.4336 loss_box3d_proj_ctr: 0.08351 loss_box3d_quat: 0.1073 loss_box3d_size: 0.07056 loss_centerness: 0.6133 loss_cls: 0.09603 loss_conf3d: 0.5112 lr: 0.002 max_mem: 5634M
[03/18 12:54:57 d2.utils.events]: eta: 1:54:06 iter: 17500 total_loss: 2.079 loss_box2d_reg: 0.1441 loss_box3d_depth: 0.4413 loss_box3d_proj_ctr: 0.08404 loss_box3d_quat: 0.1149 loss_box3d_size: 0.07298 loss_centerness: 0.6129 loss_cls: 0.09741 loss_conf3d: 0.5168 lr: 0.002 max_mem: 5634M
[03/18 12:55:16 d2.utils.events]: eta: 1:55:11 iter: 17520 total_loss: 2.123 loss_box2d_reg: 0.1462 loss_box3d_depth: 0.4722 loss_box3d_proj_ctr: 0.08253 loss_box3d_quat: 0.1178 loss_box3d_size: 0.07223 loss_centerness: 0.6148 loss_cls: 0.09591 loss_conf3d: 0.5218 lr: 0.002 max_mem: 5634M
[03/18 12:55:34 d2.utils.events]: eta: 1:53:27 iter: 17540 total_loss: 2.132 loss_box2d_reg: 0.1464 loss_box3d_depth: 0.4748 loss_box3d_proj_ctr: 0.08263 loss_box3d_quat: 0.1098 loss_box3d_size: 0.07236 loss_centerness: 0.6147 loss_cls: 0.09944 loss_conf3d: 0.5251 lr: 0.002 max_mem: 5634M
[03/18 12:55:52 d2.utils.events]: eta: 1:53:37 iter: 17560 total_loss: 2.084 loss_box2d_reg: 0.1434 loss_box3d_depth: 0.4542 loss_box3d_proj_ctr: 0.08075 loss_box3d_quat: 0.1074 loss_box3d_size: 0.06987 loss_centerness: 0.6135 loss_cls: 0.09394 loss_conf3d: 0.5159 lr: 0.002 max_mem: 5634M
[03/18 12:56:10 d2.utils.events]: eta: 1:50:51 iter: 17580 total_loss: 2.164 loss_box2d_reg: 0.1476 loss_box3d_depth: 0.4855 loss_box3d_proj_ctr: 0.08377 loss_box3d_quat: 0.1185 loss_box3d_size: 0.07272 loss_centerness: 0.6143 loss_cls: 0.09764 loss_conf3d: 0.5361 lr: 0.002 max_mem: 5634M
[03/18 12:56:29 d2.utils.events]: eta: 1:54:09 iter: 17600 total_loss: 2.071 loss_box2d_reg: 0.1449 loss_box3d_depth: 0.4489 loss_box3d_proj_ctr: 0.08749 loss_box3d_quat: 0.114 loss_box3d_size: 0.07203 loss_centerness: 0.613 loss_cls: 0.09617 loss_conf3d: 0.514 lr: 0.002 max_mem: 5634M
[03/18 12:56:47 d2.utils.events]: eta: 1:52:23 iter: 17620 total_loss: 2.154 loss_box2d_reg: 0.1454 loss_box3d_depth: 0.4904 loss_box3d_proj_ctr: 0.08476 loss_box3d_quat: 0.1024 loss_box3d_size: 0.074 loss_centerness: 0.6131 loss_cls: 0.09844 loss_conf3d: 0.5301 lr: 0.002 max_mem: 5634M
[03/18 12:57:05 d2.utils.events]: eta: 1:52:26 iter: 17640 total_loss: 2.173 loss_box2d_reg: 0.1432 loss_box3d_depth: 0.5062 loss_box3d_proj_ctr: 0.08234 loss_box3d_quat: 0.1108 loss_box3d_size: 0.07234 loss_centerness: 0.6142 loss_cls: 0.09751 loss_conf3d: 0.5396 lr: 0.002 max_mem: 5634M
[03/18 12:57:24 d2.utils.events]: eta: 1:53:42 iter: 17660 total_loss: 2.147 loss_box2d_reg: 0.1473 loss_box3d_depth: 0.4752 loss_box3d_proj_ctr: 0.08222 loss_box3d_quat: 0.1126 loss_box3d_size: 0.07259 loss_centerness: 0.6148 loss_cls: 0.09776 loss_conf3d: 0.5255 lr: 0.002 max_mem: 5634M
[03/18 12:57:42 d2.utils.events]: eta: 1:50:55 iter: 17680 total_loss: 2.163 loss_box2d_reg: 0.1456 loss_box3d_depth: 0.4904 loss_box3d_proj_ctr: 0.08218 loss_box3d_quat: 0.1167 loss_box3d_size: 0.0721 loss_centerness: 0.614 loss_cls: 0.09662 loss_conf3d: 0.5311 lr: 0.002 max_mem: 5634M
[03/18 12:58:00 d2.utils.events]: eta: 1:50:22 iter: 17700 total_loss: 2.092 loss_box2d_reg: 0.1441 loss_box3d_depth: 0.4596 loss_box3d_proj_ctr: 0.08405 loss_box3d_quat: 0.1055 loss_box3d_size: 0.07156 loss_centerness: 0.6138 loss_cls: 0.09807 loss_conf3d: 0.5182 lr: 0.002 max_mem: 5634M
[03/18 12:58:18 d2.utils.events]: eta: 1:46:01 iter: 17720 total_loss: 2.138 loss_box2d_reg: 0.1454 loss_box3d_depth: 0.4813 loss_box3d_proj_ctr: 0.08215 loss_box3d_quat: 0.1127 loss_box3d_size: 0.07344 loss_centerness: 0.6144 loss_cls: 0.09975 loss_conf3d: 0.532 lr: 0.002 max_mem: 5634M
[03/18 12:58:36 d2.utils.events]: eta: 1:48:23 iter: 17740 total_loss: 2.118 loss_box2d_reg: 0.1421 loss_box3d_depth: 0.4844 loss_box3d_proj_ctr: 0.08397 loss_box3d_quat: 0.1024 loss_box3d_size: 0.07237 loss_centerness: 0.613 loss_cls: 0.09475 loss_conf3d: 0.525 lr: 0.002 max_mem: 5634M
[03/18 12:58:54 d2.utils.events]: eta: 1:51:29 iter: 17760 total_loss: 2.115 loss_box2d_reg: 0.1446 loss_box3d_depth: 0.4766 loss_box3d_proj_ctr: 0.07854 loss_box3d_quat: 0.1124 loss_box3d_size: 0.07255 loss_centerness: 0.6133 loss_cls: 0.09851 loss_conf3d: 0.5223 lr: 0.002 max_mem: 5634M
[03/18 12:59:12 d2.utils.events]: eta: 1:47:50 iter: 17780 total_loss: 2.22 loss_box2d_reg: 0.1472 loss_box3d_depth: 0.5319 loss_box3d_proj_ctr: 0.08387 loss_box3d_quat: 0.1123 loss_box3d_size: 0.07412 loss_centerness: 0.6147 loss_cls: 0.09732 loss_conf3d: 0.5397 lr: 0.002 max_mem: 5634M
[03/18 12:59:30 d2.utils.events]: eta: 1:47:24 iter: 17800 total_loss: 2.11 loss_box2d_reg: 0.1464 loss_box3d_depth: 0.4758 loss_box3d_proj_ctr: 0.08431 loss_box3d_quat: 0.1027 loss_box3d_size: 0.07376 loss_centerness: 0.6146 loss_cls: 0.09663 loss_conf3d: 0.5206 lr: 0.002 max_mem: 5634M
[03/18 12:59:48 d2.utils.events]: eta: 1:47:56 iter: 17820 total_loss: 2.135 loss_box2d_reg: 0.1451 loss_box3d_depth: 0.4732 loss_box3d_proj_ctr: 0.08659 loss_box3d_quat: 0.1172 loss_box3d_size: 0.07235 loss_centerness: 0.6142 loss_cls: 0.09823 loss_conf3d: 0.5285 lr: 0.002 max_mem: 5634M
[03/18 13:00:06 d2.utils.events]: eta: 1:45:34 iter: 17840 total_loss: 2.069 loss_box2d_reg: 0.1428 loss_box3d_depth: 0.441 loss_box3d_proj_ctr: 0.08102 loss_box3d_quat: 0.1087 loss_box3d_size: 0.07111 loss_centerness: 0.614 loss_cls: 0.09891 loss_conf3d: 0.515 lr: 0.002 max_mem: 5634M
[03/18 13:00:24 d2.utils.events]: eta: 1:47:29 iter: 17860 total_loss: 2.139 loss_box2d_reg: 0.1469 loss_box3d_depth: 0.4787 loss_box3d_proj_ctr: 0.08239 loss_box3d_quat: 0.1106 loss_box3d_size: 0.07249 loss_centerness: 0.6139 loss_cls: 0.09718 loss_conf3d: 0.526 lr: 0.002 max_mem: 5634M
[03/18 13:00:43 d2.utils.events]: eta: 1:54:18 iter: 17880 total_loss: 2.118 loss_box2d_reg: 0.1475 loss_box3d_depth: 0.4639 loss_box3d_proj_ctr: 0.08219 loss_box3d_quat: 0.1162 loss_box3d_size: 0.07087 loss_centerness: 0.6142 loss_cls: 0.09789 loss_conf3d: 0.5214 lr: 0.002 max_mem: 5634M
[03/18 13:01:01 d2.utils.events]: eta: 1:46:23 iter: 17900 total_loss: 2.106 loss_box2d_reg: 0.1453 loss_box3d_depth: 0.4692 loss_box3d_proj_ctr: 0.08492 loss_box3d_quat: 0.1113 loss_box3d_size: 0.07191 loss_centerness: 0.614 loss_cls: 0.09618 loss_conf3d: 0.5187 lr: 0.002 max_mem: 5634M
[03/18 13:01:19 d2.utils.events]: eta: 1:48:10 iter: 17920 total_loss: 2.12 loss_box2d_reg: 0.1449 loss_box3d_depth: 0.4703 loss_box3d_proj_ctr: 0.08388 loss_box3d_quat: 0.1144 loss_box3d_size: 0.06948 loss_centerness: 0.6135 loss_cls: 0.09665 loss_conf3d: 0.5294 lr: 0.002 max_mem: 5634M
[03/18 13:01:37 d2.utils.events]: eta: 1:44:47 iter: 17940 total_loss: 2.108 loss_box2d_reg: 0.1495 loss_box3d_depth: 0.4658 loss_box3d_proj_ctr: 0.08323 loss_box3d_quat: 0.1118 loss_box3d_size: 0.07171 loss_centerness: 0.6145 loss_cls: 0.09632 loss_conf3d: 0.5229 lr: 0.002 max_mem: 5634M
[03/18 13:01:54 d2.utils.events]: eta: 1:40:06 iter: 17960 total_loss: 2.062 loss_box2d_reg: 0.1443 loss_box3d_depth: 0.4355 loss_box3d_proj_ctr: 0.08141 loss_box3d_quat: 0.108 loss_box3d_size: 0.06818 loss_centerness: 0.614 loss_cls: 0.09421 loss_conf3d: 0.5067 lr: 0.002 max_mem: 5634M
[03/18 13:02:12 d2.utils.events]: eta: 1:42:24 iter: 17980 total_loss: 2.054 loss_box2d_reg: 0.1439 loss_box3d_depth: 0.4398 loss_box3d_proj_ctr: 0.08033 loss_box3d_quat: 0.09848 loss_box3d_size: 0.06987 loss_centerness: 0.6135 loss_cls: 0.09408 loss_conf3d: 0.5122 lr: 0.002 max_mem: 5634M
[03/18 13:02:30 d2.utils.events]: eta: 1:45:49 iter: 18000 total_loss: 2.254 loss_box2d_reg: 0.1422 loss_box3d_depth: 0.5416 loss_box3d_proj_ctr: 0.08357 loss_box3d_quat: 0.1075 loss_box3d_size: 0.07039 loss_centerness: 0.6134 loss_cls: 0.09415 loss_conf3d: 0.5595 lr: 0.002 max_mem: 5634M
[03/18 13:02:37 fvcore.common.checkpoint]: Saving checkpoint to ./model_0017999.pth
[03/18 13:02:38 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 13:02:38 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 13:02:39 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 13:02:39 tridet.data.build]: Using test sampler InferenceSampler
[03/18 13:02:39 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 13:02:48 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 0.3115 s/iter. Eval: 0.3154 s/iter. Total: 0.6278 s/iter. ETA=0:00:23
[03/18 13:02:53 d2.evaluation.evaluator]: Inference done 19/48. Dataloading: 0.0010 s/iter. Inference: 0.3146 s/iter. Eval: 0.3295 s/iter. Total: 0.6451 s/iter. ETA=0:00:18
[03/18 13:02:58 d2.evaluation.evaluator]: Inference done 27/48. Dataloading: 0.0011 s/iter. Inference: 0.3182 s/iter. Eval: 0.3280 s/iter. Total: 0.6474 s/iter. ETA=0:00:13
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 13:03:03 d2.evaluation.evaluator]: Inference done 35/48. Dataloading: 0.0011 s/iter. Inference: 0.3172 s/iter. Eval: 0.3303 s/iter. Total: 0.6487 s/iter. ETA=0:00:08
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 13:03:09 d2.evaluation.evaluator]: Inference done 44/48. Dataloading: 0.0010 s/iter. Inference: 0.3104 s/iter. Eval: 0.3243 s/iter. Total: 0.6359 s/iter. ETA=0:00:02
[03/18 13:03:11 d2.evaluation.evaluator]: Total inference time: 0:00:26.862091 (0.624700 s / iter per device, on 8 devices)
[03/18 13:03:11 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.302709 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 13:03:12 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 13:03:12 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0018000/kitti_3d_val/coco_instances_results.json
[03/18 13:03:12 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.10s)
creating index...
index created!
[03/18 13:03:12 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 13:03:14 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.83 seconds.
[03/18 13:03:14 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 13:03:14 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.30 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.144
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.271
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.140
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.071
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.131
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.235
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.133
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.262
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.280
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.129
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.264
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.434
[03/18 13:03:14 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.362 27.114 14.022 7.069 13.101 23.477
[03/18 13:03:14 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 43.972 Pedestrian 14.819 Cyclist 2.336
Van 8.143 Truck 2.542
[03/18 13:03:35 tridet]: Running prediction visualizer: d2_visualizer
[03/18 13:03:36 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.30it/s][03/18 13:03:39 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.32it/s][03/18 13:03:55 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 13:03:55 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.3625
kitti_3d_val/bbox/AP50 27.1143
kitti_3d_val/bbox/AP75 14.0219
kitti_3d_val/bbox/APs 7.06893
kitti_3d_val/bbox/APm 13.1012
kitti_3d_val/bbox/APl 23.4773
kitti_3d_val/bbox/AP-Car 43.9725
kitti_3d_val/bbox/AP-Pedestrian 14.8191
kitti_3d_val/bbox/AP-Cyclist 2.33572
kitti_3d_val/bbox/AP-Van 8.14314
kitti_3d_val/bbox/AP-Truck 2.54183
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 19.7453
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 1.98296
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 14.981
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 1.74931
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 13.0339
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.33492
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 0.892464
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.623761
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.450637
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.00544926
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 1.07587
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.111607
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 0.603857
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.412653
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 0.379327
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.100187
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.131579
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 23.9925
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 5.43677
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 18.4917
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 3.6582
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 16.2423
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 3.13342
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 1.35798
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 1.13143
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 0.890163
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.00661535
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 2.64391
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.257492
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 1.38503
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.110377
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 0.901883
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0285883
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 0.716201
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.210711
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.198504
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0

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azuryl commented Mar 20, 2023

[03/18 13:04:13 d2.utils.events]: eta: 9:58:05 iter: 18020 total_loss: 2.398 loss_box2d_reg: 0.1528 loss_box3d_depth: 0.6664 loss_box3d_proj_ctr: 0.08491 loss_box3d_quat: 0.1119 loss_box3d_size: 0.07235 loss_centerness: 0.6144 loss_cls: 0.09708 loss_conf3d: 0.581 lr: 0.002 max_mem: 5634M
[03/18 13:04:30 d2.utils.events]: eta: 1:42:00 iter: 18040 total_loss: 2.224 loss_box2d_reg: 0.148 loss_box3d_depth: 0.5484 loss_box3d_proj_ctr: 0.0849 loss_box3d_quat: 0.1076 loss_box3d_size: 0.07229 loss_centerness: 0.6138 loss_cls: 0.09943 loss_conf3d: 0.5549 lr: 0.002 max_mem: 5634M
[03/18 13:04:48 d2.utils.events]: eta: 1:42:43 iter: 18060 total_loss: 2.157 loss_box2d_reg: 0.1464 loss_box3d_depth: 0.4905 loss_box3d_proj_ctr: 0.08377 loss_box3d_quat: 0.1081 loss_box3d_size: 0.07233 loss_centerness: 0.6137 loss_cls: 0.09605 loss_conf3d: 0.5263 lr: 0.002 max_mem: 5634M
[03/18 13:05:07 d2.utils.events]: eta: 1:46:01 iter: 18080 total_loss: 2.106 loss_box2d_reg: 0.1447 loss_box3d_depth: 0.4508 loss_box3d_proj_ctr: 0.07833 loss_box3d_quat: 0.1074 loss_box3d_size: 0.06949 loss_centerness: 0.6143 loss_cls: 0.0953 loss_conf3d: 0.517 lr: 0.002 max_mem: 5634M
[03/18 13:05:25 d2.utils.events]: eta: 1:44:29 iter: 18100 total_loss: 2.186 loss_box2d_reg: 0.1417 loss_box3d_depth: 0.5264 loss_box3d_proj_ctr: 0.07881 loss_box3d_quat: 0.1009 loss_box3d_size: 0.06941 loss_centerness: 0.6124 loss_cls: 0.09507 loss_conf3d: 0.5424 lr: 0.002 max_mem: 5634M
[03/18 13:05:43 d2.utils.events]: eta: 1:45:16 iter: 18120 total_loss: 2.168 loss_box2d_reg: 0.1467 loss_box3d_depth: 0.4877 loss_box3d_proj_ctr: 0.08405 loss_box3d_quat: 0.1081 loss_box3d_size: 0.07319 loss_centerness: 0.6141 loss_cls: 0.09762 loss_conf3d: 0.5356 lr: 0.002 max_mem: 5634M
[03/18 13:06:01 d2.utils.events]: eta: 1:43:31 iter: 18140 total_loss: 2.092 loss_box2d_reg: 0.1429 loss_box3d_depth: 0.459 loss_box3d_proj_ctr: 0.08202 loss_box3d_quat: 0.1058 loss_box3d_size: 0.07058 loss_centerness: 0.6132 loss_cls: 0.09428 loss_conf3d: 0.5158 lr: 0.002 max_mem: 5634M
[03/18 13:06:20 d2.utils.events]: eta: 1:45:52 iter: 18160 total_loss: 2.081 loss_box2d_reg: 0.1427 loss_box3d_depth: 0.4535 loss_box3d_proj_ctr: 0.07983 loss_box3d_quat: 0.107 loss_box3d_size: 0.07026 loss_centerness: 0.6134 loss_cls: 0.0955 loss_conf3d: 0.513 lr: 0.002 max_mem: 5634M
[03/18 13:06:39 d2.utils.events]: eta: 1:47:13 iter: 18180 total_loss: 2.124 loss_box2d_reg: 0.1446 loss_box3d_depth: 0.4656 loss_box3d_proj_ctr: 0.07925 loss_box3d_quat: 0.1116 loss_box3d_size: 0.07151 loss_centerness: 0.6148 loss_cls: 0.09609 loss_conf3d: 0.5189 lr: 0.002 max_mem: 5634M
[03/18 13:06:57 d2.utils.events]: eta: 1:46:17 iter: 18200 total_loss: 2.099 loss_box2d_reg: 0.1473 loss_box3d_depth: 0.459 loss_box3d_proj_ctr: 0.08135 loss_box3d_quat: 0.1142 loss_box3d_size: 0.07038 loss_centerness: 0.615 loss_cls: 0.09565 loss_conf3d: 0.5184 lr: 0.002 max_mem: 5634M
[03/18 13:07:16 d2.utils.events]: eta: 1:42:42 iter: 18220 total_loss: 2.099 loss_box2d_reg: 0.1441 loss_box3d_depth: 0.4485 loss_box3d_proj_ctr: 0.08028 loss_box3d_quat: 0.1131 loss_box3d_size: 0.06984 loss_centerness: 0.6132 loss_cls: 0.09607 loss_conf3d: 0.5119 lr: 0.002 max_mem: 5634M
[03/18 13:07:34 d2.utils.events]: eta: 1:43:23 iter: 18240 total_loss: 2.099 loss_box2d_reg: 0.1457 loss_box3d_depth: 0.4536 loss_box3d_proj_ctr: 0.08218 loss_box3d_quat: 0.1139 loss_box3d_size: 0.07173 loss_centerness: 0.6142 loss_cls: 0.0946 loss_conf3d: 0.513 lr: 0.002 max_mem: 5634M
[03/18 13:07:52 d2.utils.events]: eta: 1:43:03 iter: 18260 total_loss: 2.09 loss_box2d_reg: 0.1421 loss_box3d_depth: 0.4643 loss_box3d_proj_ctr: 0.08273 loss_box3d_quat: 0.1137 loss_box3d_size: 0.06933 loss_centerness: 0.6131 loss_cls: 0.09531 loss_conf3d: 0.5138 lr: 0.002 max_mem: 5634M
[03/18 13:08:10 d2.utils.events]: eta: 1:40:58 iter: 18280 total_loss: 2.076 loss_box2d_reg: 0.1391 loss_box3d_depth: 0.4528 loss_box3d_proj_ctr: 0.07975 loss_box3d_quat: 0.1027 loss_box3d_size: 0.06984 loss_centerness: 0.6135 loss_cls: 0.09564 loss_conf3d: 0.5168 lr: 0.002 max_mem: 5634M
[03/18 13:08:28 d2.utils.events]: eta: 1:39:57 iter: 18300 total_loss: 2.064 loss_box2d_reg: 0.1415 loss_box3d_depth: 0.4388 loss_box3d_proj_ctr: 0.08199 loss_box3d_quat: 0.09981 loss_box3d_size: 0.06951 loss_centerness: 0.614 loss_cls: 0.09469 loss_conf3d: 0.5088 lr: 0.002 max_mem: 5634M
[03/18 13:08:47 d2.utils.events]: eta: 1:43:11 iter: 18320 total_loss: 2.069 loss_box2d_reg: 0.1432 loss_box3d_depth: 0.4501 loss_box3d_proj_ctr: 0.07992 loss_box3d_quat: 0.1058 loss_box3d_size: 0.07073 loss_centerness: 0.613 loss_cls: 0.09534 loss_conf3d: 0.5146 lr: 0.002 max_mem: 5634M
[03/18 13:09:05 d2.utils.events]: eta: 1:42:38 iter: 18340 total_loss: 2.158 loss_box2d_reg: 0.1408 loss_box3d_depth: 0.5161 loss_box3d_proj_ctr: 0.07784 loss_box3d_quat: 0.1011 loss_box3d_size: 0.07195 loss_centerness: 0.6141 loss_cls: 0.09584 loss_conf3d: 0.5399 lr: 0.002 max_mem: 5634M
[03/18 13:09:24 d2.utils.events]: eta: 1:42:28 iter: 18360 total_loss: 2.098 loss_box2d_reg: 0.143 loss_box3d_depth: 0.4587 loss_box3d_proj_ctr: 0.08094 loss_box3d_quat: 0.1086 loss_box3d_size: 0.07148 loss_centerness: 0.6133 loss_cls: 0.09839 loss_conf3d: 0.5201 lr: 0.002 max_mem: 5634M
[03/18 13:09:41 d2.utils.events]: eta: 1:37:47 iter: 18380 total_loss: 2.077 loss_box2d_reg: 0.1423 loss_box3d_depth: 0.4651 loss_box3d_proj_ctr: 0.08085 loss_box3d_quat: 0.1076 loss_box3d_size: 0.0679 loss_centerness: 0.6121 loss_cls: 0.09252 loss_conf3d: 0.5186 lr: 0.002 max_mem: 5634M
[03/18 13:09:59 d2.utils.events]: eta: 1:36:59 iter: 18400 total_loss: 2.208 loss_box2d_reg: 0.1483 loss_box3d_depth: 0.5153 loss_box3d_proj_ctr: 0.0842 loss_box3d_quat: 0.1073 loss_box3d_size: 0.07059 loss_centerness: 0.6145 loss_cls: 0.0939 loss_conf3d: 0.542 lr: 0.002 max_mem: 5634M
[03/18 13:10:18 d2.utils.events]: eta: 1:42:39 iter: 18420 total_loss: 2.169 loss_box2d_reg: 0.148 loss_box3d_depth: 0.497 loss_box3d_proj_ctr: 0.08685 loss_box3d_quat: 0.1104 loss_box3d_size: 0.07197 loss_centerness: 0.614 loss_cls: 0.09756 loss_conf3d: 0.5257 lr: 0.002 max_mem: 5634M
[03/18 13:10:36 d2.utils.events]: eta: 1:37:42 iter: 18440 total_loss: 2.129 loss_box2d_reg: 0.1446 loss_box3d_depth: 0.4875 loss_box3d_proj_ctr: 0.08237 loss_box3d_quat: 0.1047 loss_box3d_size: 0.07092 loss_centerness: 0.6133 loss_cls: 0.09723 loss_conf3d: 0.5257 lr: 0.002 max_mem: 5634M
[03/18 13:10:54 d2.utils.events]: eta: 1:39:57 iter: 18460 total_loss: 2.139 loss_box2d_reg: 0.1432 loss_box3d_depth: 0.4975 loss_box3d_proj_ctr: 0.07991 loss_box3d_quat: 0.1052 loss_box3d_size: 0.06929 loss_centerness: 0.614 loss_cls: 0.09256 loss_conf3d: 0.5261 lr: 0.002 max_mem: 5634M
[03/18 13:11:13 d2.utils.events]: eta: 1:42:42 iter: 18480 total_loss: 2.084 loss_box2d_reg: 0.1421 loss_box3d_depth: 0.4639 loss_box3d_proj_ctr: 0.07934 loss_box3d_quat: 0.1114 loss_box3d_size: 0.07198 loss_centerness: 0.6132 loss_cls: 0.09457 loss_conf3d: 0.519 lr: 0.002 max_mem: 5634M
[03/18 13:11:32 d2.utils.events]: eta: 1:43:43 iter: 18500 total_loss: 2.159 loss_box2d_reg: 0.141 loss_box3d_depth: 0.5154 loss_box3d_proj_ctr: 0.08163 loss_box3d_quat: 0.1074 loss_box3d_size: 0.06953 loss_centerness: 0.6128 loss_cls: 0.0938 loss_conf3d: 0.5301 lr: 0.002 max_mem: 5634M
[03/18 13:11:50 d2.utils.events]: eta: 1:38:44 iter: 18520 total_loss: 2.115 loss_box2d_reg: 0.1423 loss_box3d_depth: 0.486 loss_box3d_proj_ctr: 0.07932 loss_box3d_quat: 0.103 loss_box3d_size: 0.06875 loss_centerness: 0.6135 loss_cls: 0.09345 loss_conf3d: 0.5239 lr: 0.002 max_mem: 5634M
[03/18 13:12:09 d2.utils.events]: eta: 1:41:28 iter: 18540 total_loss: 2.07 loss_box2d_reg: 0.1432 loss_box3d_depth: 0.4462 loss_box3d_proj_ctr: 0.08184 loss_box3d_quat: 0.104 loss_box3d_size: 0.06933 loss_centerness: 0.614 loss_cls: 0.09399 loss_conf3d: 0.5083 lr: 0.002 max_mem: 5634M
[03/18 13:12:28 d2.utils.events]: eta: 1:38:17 iter: 18560 total_loss: 2.23 loss_box2d_reg: 0.1428 loss_box3d_depth: 0.5663 loss_box3d_proj_ctr: 0.08634 loss_box3d_quat: 0.1083 loss_box3d_size: 0.07226 loss_centerness: 0.6144 loss_cls: 0.094 loss_conf3d: 0.5508 lr: 0.002 max_mem: 5634M
[03/18 13:12:46 d2.utils.events]: eta: 1:40:10 iter: 18580 total_loss: 2.181 loss_box2d_reg: 0.1429 loss_box3d_depth: 0.5246 loss_box3d_proj_ctr: 0.08362 loss_box3d_quat: 0.1136 loss_box3d_size: 0.07017 loss_centerness: 0.6136 loss_cls: 0.09364 loss_conf3d: 0.5381 lr: 0.002 max_mem: 5634M
[03/18 13:13:05 d2.utils.events]: eta: 1:39:42 iter: 18600 total_loss: 2.116 loss_box2d_reg: 0.1438 loss_box3d_depth: 0.474 loss_box3d_proj_ctr: 0.08173 loss_box3d_quat: 0.1143 loss_box3d_size: 0.06975 loss_centerness: 0.6134 loss_cls: 0.09497 loss_conf3d: 0.5206 lr: 0.002 max_mem: 5634M
[03/18 13:13:23 d2.utils.events]: eta: 1:36:34 iter: 18620 total_loss: 2.064 loss_box2d_reg: 0.1434 loss_box3d_depth: 0.4417 loss_box3d_proj_ctr: 0.07786 loss_box3d_quat: 0.1079 loss_box3d_size: 0.07083 loss_centerness: 0.6142 loss_cls: 0.0924 loss_conf3d: 0.5105 lr: 0.002 max_mem: 5634M
[03/18 13:13:42 d2.utils.events]: eta: 1:39:38 iter: 18640 total_loss: 2.09 loss_box2d_reg: 0.1446 loss_box3d_depth: 0.4513 loss_box3d_proj_ctr: 0.08319 loss_box3d_quat: 0.1047 loss_box3d_size: 0.06663 loss_centerness: 0.6138 loss_cls: 0.09246 loss_conf3d: 0.5162 lr: 0.002 max_mem: 5634M
[03/18 13:14:01 d2.utils.events]: eta: 1:38:50 iter: 18660 total_loss: 2.058 loss_box2d_reg: 0.1422 loss_box3d_depth: 0.4387 loss_box3d_proj_ctr: 0.07997 loss_box3d_quat: 0.1052 loss_box3d_size: 0.07068 loss_centerness: 0.6131 loss_cls: 0.09283 loss_conf3d: 0.5118 lr: 0.002 max_mem: 5634M
[03/18 13:14:19 d2.utils.events]: eta: 1:38:18 iter: 18680 total_loss: 2.065 loss_box2d_reg: 0.1417 loss_box3d_depth: 0.4437 loss_box3d_proj_ctr: 0.07837 loss_box3d_quat: 0.1013 loss_box3d_size: 0.06984 loss_centerness: 0.6133 loss_cls: 0.09697 loss_conf3d: 0.5114 lr: 0.002 max_mem: 5634M
[03/18 13:14:39 d2.utils.events]: eta: 1:42:13 iter: 18700 total_loss: 2.124 loss_box2d_reg: 0.1403 loss_box3d_depth: 0.4965 loss_box3d_proj_ctr: 0.07622 loss_box3d_quat: 0.1053 loss_box3d_size: 0.06897 loss_centerness: 0.6135 loss_cls: 0.096 loss_conf3d: 0.5326 lr: 0.002 max_mem: 5634M
[03/18 13:14:58 d2.utils.events]: eta: 1:41:32 iter: 18720 total_loss: 2.252 loss_box2d_reg: 0.1451 loss_box3d_depth: 0.582 loss_box3d_proj_ctr: 0.08225 loss_box3d_quat: 0.1113 loss_box3d_size: 0.0742 loss_centerness: 0.6141 loss_cls: 0.09647 loss_conf3d: 0.5542 lr: 0.002 max_mem: 5634M
[03/18 13:15:17 d2.utils.events]: eta: 1:38:59 iter: 18740 total_loss: 2.17 loss_box2d_reg: 0.1425 loss_box3d_depth: 0.5058 loss_box3d_proj_ctr: 0.0797 loss_box3d_quat: 0.1081 loss_box3d_size: 0.06939 loss_centerness: 0.6129 loss_cls: 0.09584 loss_conf3d: 0.5339 lr: 0.002 max_mem: 5634M
[03/18 13:15:37 d2.utils.events]: eta: 1:41:01 iter: 18760 total_loss: 2.185 loss_box2d_reg: 0.1437 loss_box3d_depth: 0.5261 loss_box3d_proj_ctr: 0.08557 loss_box3d_quat: 0.1045 loss_box3d_size: 0.07217 loss_centerness: 0.614 loss_cls: 0.09522 loss_conf3d: 0.5333 lr: 0.002 max_mem: 5634M
[03/18 13:15:56 d2.utils.events]: eta: 1:39:33 iter: 18780 total_loss: 2.157 loss_box2d_reg: 0.1442 loss_box3d_depth: 0.5218 loss_box3d_proj_ctr: 0.08229 loss_box3d_quat: 0.1043 loss_box3d_size: 0.06943 loss_centerness: 0.6136 loss_cls: 0.09592 loss_conf3d: 0.5317 lr: 0.002 max_mem: 5634M
[03/18 13:16:15 d2.utils.events]: eta: 1:41:12 iter: 18800 total_loss: 2.125 loss_box2d_reg: 0.1425 loss_box3d_depth: 0.4863 loss_box3d_proj_ctr: 0.08118 loss_box3d_quat: 0.1048 loss_box3d_size: 0.06753 loss_centerness: 0.6123 loss_cls: 0.09531 loss_conf3d: 0.5259 lr: 0.002 max_mem: 5634M
[03/18 13:16:34 d2.utils.events]: eta: 1:37:08 iter: 18820 total_loss: 2.144 loss_box2d_reg: 0.1416 loss_box3d_depth: 0.4959 loss_box3d_proj_ctr: 0.07949 loss_box3d_quat: 0.1086 loss_box3d_size: 0.06853 loss_centerness: 0.6133 loss_cls: 0.09419 loss_conf3d: 0.5315 lr: 0.002 max_mem: 5634M
[03/18 13:16:54 d2.utils.events]: eta: 1:38:43 iter: 18840 total_loss: 2.063 loss_box2d_reg: 0.1407 loss_box3d_depth: 0.4455 loss_box3d_proj_ctr: 0.07725 loss_box3d_quat: 0.1072 loss_box3d_size: 0.07077 loss_centerness: 0.6132 loss_cls: 0.09078 loss_conf3d: 0.5142 lr: 0.002 max_mem: 5634M
[03/18 13:17:13 d2.utils.events]: eta: 1:39:08 iter: 18860 total_loss: 2.056 loss_box2d_reg: 0.1443 loss_box3d_depth: 0.4293 loss_box3d_proj_ctr: 0.0817 loss_box3d_quat: 0.1071 loss_box3d_size: 0.06775 loss_centerness: 0.6139 loss_cls: 0.09539 loss_conf3d: 0.51 lr: 0.002 max_mem: 5634M
[03/18 13:17:32 d2.utils.events]: eta: 1:38:46 iter: 18880 total_loss: 2.042 loss_box2d_reg: 0.1417 loss_box3d_depth: 0.4324 loss_box3d_proj_ctr: 0.07934 loss_box3d_quat: 0.1039 loss_box3d_size: 0.06785 loss_centerness: 0.6137 loss_cls: 0.09384 loss_conf3d: 0.5055 lr: 0.002 max_mem: 5634M
[03/18 13:17:51 d2.utils.events]: eta: 1:37:04 iter: 18900 total_loss: 2.047 loss_box2d_reg: 0.1374 loss_box3d_depth: 0.4405 loss_box3d_proj_ctr: 0.07623 loss_box3d_quat: 0.1004 loss_box3d_size: 0.06925 loss_centerness: 0.6129 loss_cls: 0.09368 loss_conf3d: 0.5106 lr: 0.002 max_mem: 5634M
[03/18 13:18:11 d2.utils.events]: eta: 1:38:23 iter: 18920 total_loss: 2.001 loss_box2d_reg: 0.1382 loss_box3d_depth: 0.4238 loss_box3d_proj_ctr: 0.07745 loss_box3d_quat: 0.095 loss_box3d_size: 0.06805 loss_centerness: 0.613 loss_cls: 0.09407 loss_conf3d: 0.5037 lr: 0.002 max_mem: 5634M
[03/18 13:18:30 d2.utils.events]: eta: 1:37:13 iter: 18940 total_loss: 2.049 loss_box2d_reg: 0.1419 loss_box3d_depth: 0.4442 loss_box3d_proj_ctr: 0.07859 loss_box3d_quat: 0.1035 loss_box3d_size: 0.06923 loss_centerness: 0.6136 loss_cls: 0.09097 loss_conf3d: 0.5115 lr: 0.002 max_mem: 5634M
[03/18 13:18:49 d2.utils.events]: eta: 1:35:04 iter: 18960 total_loss: 2.198 loss_box2d_reg: 0.1444 loss_box3d_depth: 0.5402 loss_box3d_proj_ctr: 0.07931 loss_box3d_quat: 0.1036 loss_box3d_size: 0.0693 loss_centerness: 0.6145 loss_cls: 0.09099 loss_conf3d: 0.5483 lr: 0.002 max_mem: 5634M
[03/18 13:19:08 d2.utils.events]: eta: 1:35:41 iter: 18980 total_loss: 2.087 loss_box2d_reg: 0.1375 loss_box3d_depth: 0.4516 loss_box3d_proj_ctr: 0.07855 loss_box3d_quat: 0.09856 loss_box3d_size: 0.06773 loss_centerness: 0.6129 loss_cls: 0.09242 loss_conf3d: 0.5164 lr: 0.002 max_mem: 5634M
[03/18 13:19:27 d2.utils.events]: eta: 1:35:55 iter: 19000 total_loss: 2.001 loss_box2d_reg: 0.1405 loss_box3d_depth: 0.4264 loss_box3d_proj_ctr: 0.07957 loss_box3d_quat: 0.09674 loss_box3d_size: 0.06776 loss_centerness: 0.6123 loss_cls: 0.09351 loss_conf3d: 0.504 lr: 0.002 max_mem: 5634M
[03/18 13:19:52 d2.utils.events]: eta: 2:03:45 iter: 19020 total_loss: 2.028 loss_box2d_reg: 0.142 loss_box3d_depth: 0.4186 loss_box3d_proj_ctr: 0.07727 loss_box3d_quat: 0.09707 loss_box3d_size: 0.06853 loss_centerness: 0.6138 loss_cls: 0.0921 loss_conf3d: 0.5033 lr: 0.002 max_mem: 5634M
[03/18 13:20:11 d2.utils.events]: eta: 1:36:23 iter: 19040 total_loss: 2.087 loss_box2d_reg: 0.1424 loss_box3d_depth: 0.4606 loss_box3d_proj_ctr: 0.08224 loss_box3d_quat: 0.1056 loss_box3d_size: 0.07049 loss_centerness: 0.6142 loss_cls: 0.09498 loss_conf3d: 0.5142 lr: 0.002 max_mem: 5634M
[03/18 13:20:30 d2.utils.events]: eta: 1:33:13 iter: 19060 total_loss: 2.041 loss_box2d_reg: 0.1381 loss_box3d_depth: 0.4478 loss_box3d_proj_ctr: 0.07944 loss_box3d_quat: 0.103 loss_box3d_size: 0.0686 loss_centerness: 0.6129 loss_cls: 0.09228 loss_conf3d: 0.5105 lr: 0.002 max_mem: 5634M
[03/18 13:20:49 d2.utils.events]: eta: 1:32:14 iter: 19080 total_loss: 2.115 loss_box2d_reg: 0.1416 loss_box3d_depth: 0.476 loss_box3d_proj_ctr: 0.07952 loss_box3d_quat: 0.1127 loss_box3d_size: 0.07022 loss_centerness: 0.6132 loss_cls: 0.09491 loss_conf3d: 0.5237 lr: 0.002 max_mem: 5634M
[03/18 13:21:08 d2.utils.events]: eta: 1:30:58 iter: 19100 total_loss: 2.069 loss_box2d_reg: 0.1437 loss_box3d_depth: 0.4483 loss_box3d_proj_ctr: 0.08008 loss_box3d_quat: 0.1018 loss_box3d_size: 0.06767 loss_centerness: 0.6138 loss_cls: 0.09427 loss_conf3d: 0.5121 lr: 0.002 max_mem: 5634M
[03/18 13:21:27 d2.utils.events]: eta: 1:34:23 iter: 19120 total_loss: 2.075 loss_box2d_reg: 0.1397 loss_box3d_depth: 0.4592 loss_box3d_proj_ctr: 0.07731 loss_box3d_quat: 0.1033 loss_box3d_size: 0.06758 loss_centerness: 0.6152 loss_cls: 0.09187 loss_conf3d: 0.5154 lr: 0.002 max_mem: 5634M
[03/18 13:21:46 d2.utils.events]: eta: 1:34:15 iter: 19140 total_loss: 2.039 loss_box2d_reg: 0.1395 loss_box3d_depth: 0.4394 loss_box3d_proj_ctr: 0.07755 loss_box3d_quat: 0.1018 loss_box3d_size: 0.06866 loss_centerness: 0.6128 loss_cls: 0.09171 loss_conf3d: 0.5087 lr: 0.002 max_mem: 5634M
[03/18 13:22:05 d2.utils.events]: eta: 1:33:47 iter: 19160 total_loss: 2.052 loss_box2d_reg: 0.1405 loss_box3d_depth: 0.4402 loss_box3d_proj_ctr: 0.07816 loss_box3d_quat: 0.1027 loss_box3d_size: 0.06809 loss_centerness: 0.6129 loss_cls: 0.0953 loss_conf3d: 0.5113 lr: 0.002 max_mem: 5634M
[03/18 13:22:24 d2.utils.events]: eta: 1:31:24 iter: 19180 total_loss: 2.103 loss_box2d_reg: 0.1401 loss_box3d_depth: 0.4851 loss_box3d_proj_ctr: 0.07824 loss_box3d_quat: 0.09989 loss_box3d_size: 0.06808 loss_centerness: 0.6134 loss_cls: 0.08831 loss_conf3d: 0.5257 lr: 0.002 max_mem: 5634M
[03/18 13:22:43 d2.utils.events]: eta: 1:30:52 iter: 19200 total_loss: 2.025 loss_box2d_reg: 0.1399 loss_box3d_depth: 0.4296 loss_box3d_proj_ctr: 0.07855 loss_box3d_quat: 0.09746 loss_box3d_size: 0.0677 loss_centerness: 0.6139 loss_cls: 0.09282 loss_conf3d: 0.5031 lr: 0.002 max_mem: 5634M
[03/18 13:23:02 d2.utils.events]: eta: 1:30:45 iter: 19220 total_loss: 2.054 loss_box2d_reg: 0.1413 loss_box3d_depth: 0.4551 loss_box3d_proj_ctr: 0.07871 loss_box3d_quat: 0.09243 loss_box3d_size: 0.06888 loss_centerness: 0.6132 loss_cls: 0.09233 loss_conf3d: 0.5163 lr: 0.002 max_mem: 5634M
[03/18 13:23:20 d2.utils.events]: eta: 1:28:08 iter: 19240 total_loss: 2.037 loss_box2d_reg: 0.1407 loss_box3d_depth: 0.4275 loss_box3d_proj_ctr: 0.07654 loss_box3d_quat: 0.1012 loss_box3d_size: 0.06709 loss_centerness: 0.6134 loss_cls: 0.09336 loss_conf3d: 0.512 lr: 0.002 max_mem: 5634M
[03/18 13:23:40 d2.utils.events]: eta: 1:33:35 iter: 19260 total_loss: 2.049 loss_box2d_reg: 0.138 loss_box3d_depth: 0.4313 loss_box3d_proj_ctr: 0.07694 loss_box3d_quat: 0.1008 loss_box3d_size: 0.06885 loss_centerness: 0.6134 loss_cls: 0.09157 loss_conf3d: 0.5106 lr: 0.002 max_mem: 5634M
[03/18 13:23:58 d2.utils.events]: eta: 1:28:52 iter: 19280 total_loss: 2.075 loss_box2d_reg: 0.1416 loss_box3d_depth: 0.4487 loss_box3d_proj_ctr: 0.0793 loss_box3d_quat: 0.1037 loss_box3d_size: 0.06942 loss_centerness: 0.613 loss_cls: 0.09166 loss_conf3d: 0.5149 lr: 0.002 max_mem: 5634M
[03/18 13:24:17 d2.utils.events]: eta: 1:29:55 iter: 19300 total_loss: 2.083 loss_box2d_reg: 0.1425 loss_box3d_depth: 0.4654 loss_box3d_proj_ctr: 0.0778 loss_box3d_quat: 0.1027 loss_box3d_size: 0.06886 loss_centerness: 0.6124 loss_cls: 0.09518 loss_conf3d: 0.5158 lr: 0.002 max_mem: 5634M
[03/18 13:24:36 d2.utils.events]: eta: 1:27:07 iter: 19320 total_loss: 2.112 loss_box2d_reg: 0.1393 loss_box3d_depth: 0.4749 loss_box3d_proj_ctr: 0.08053 loss_box3d_quat: 0.1061 loss_box3d_size: 0.06971 loss_centerness: 0.6133 loss_cls: 0.09463 loss_conf3d: 0.5225 lr: 0.002 max_mem: 5634M
[03/18 13:24:54 d2.utils.events]: eta: 1:25:25 iter: 19340 total_loss: 2.182 loss_box2d_reg: 0.1407 loss_box3d_depth: 0.54 loss_box3d_proj_ctr: 0.07869 loss_box3d_quat: 0.09801 loss_box3d_size: 0.07 loss_centerness: 0.6133 loss_cls: 0.09185 loss_conf3d: 0.5389 lr: 0.002 max_mem: 5634M
[03/18 13:25:13 d2.utils.events]: eta: 1:27:45 iter: 19360 total_loss: 2.063 loss_box2d_reg: 0.1397 loss_box3d_depth: 0.4626 loss_box3d_proj_ctr: 0.07813 loss_box3d_quat: 0.09861 loss_box3d_size: 0.06794 loss_centerness: 0.6126 loss_cls: 0.09368 loss_conf3d: 0.5168 lr: 0.002 max_mem: 5634M
[03/18 13:25:32 d2.utils.events]: eta: 1:29:43 iter: 19380 total_loss: 2.002 loss_box2d_reg: 0.1383 loss_box3d_depth: 0.4215 loss_box3d_proj_ctr: 0.07773 loss_box3d_quat: 0.09811 loss_box3d_size: 0.06742 loss_centerness: 0.6135 loss_cls: 0.09201 loss_conf3d: 0.4998 lr: 0.002 max_mem: 5634M
[03/18 13:25:50 d2.utils.events]: eta: 1:26:32 iter: 19400 total_loss: 2.067 loss_box2d_reg: 0.1396 loss_box3d_depth: 0.464 loss_box3d_proj_ctr: 0.07968 loss_box3d_quat: 0.1058 loss_box3d_size: 0.06707 loss_centerness: 0.6135 loss_cls: 0.08937 loss_conf3d: 0.5188 lr: 0.002 max_mem: 5634M
[03/18 13:26:10 d2.utils.events]: eta: 1:29:26 iter: 19420 total_loss: 2.102 loss_box2d_reg: 0.1404 loss_box3d_depth: 0.4723 loss_box3d_proj_ctr: 0.07774 loss_box3d_quat: 0.1016 loss_box3d_size: 0.06739 loss_centerness: 0.6135 loss_cls: 0.09329 loss_conf3d: 0.519 lr: 0.002 max_mem: 5634M
[03/18 13:26:28 d2.utils.events]: eta: 1:27:22 iter: 19440 total_loss: 1.991 loss_box2d_reg: 0.1382 loss_box3d_depth: 0.4156 loss_box3d_proj_ctr: 0.07713 loss_box3d_quat: 0.09012 loss_box3d_size: 0.0669 loss_centerness: 0.6125 loss_cls: 0.09199 loss_conf3d: 0.4997 lr: 0.002 max_mem: 5634M
[03/18 13:26:46 d2.utils.events]: eta: 1:21:00 iter: 19460 total_loss: 2.018 loss_box2d_reg: 0.1405 loss_box3d_depth: 0.4283 loss_box3d_proj_ctr: 0.07909 loss_box3d_quat: 0.09805 loss_box3d_size: 0.06861 loss_centerness: 0.6134 loss_cls: 0.08981 loss_conf3d: 0.5012 lr: 0.002 max_mem: 5634M
[03/18 13:27:04 d2.utils.events]: eta: 1:22:01 iter: 19480 total_loss: 2.029 loss_box2d_reg: 0.1357 loss_box3d_depth: 0.4335 loss_box3d_proj_ctr: 0.08105 loss_box3d_quat: 0.09981 loss_box3d_size: 0.06695 loss_centerness: 0.613 loss_cls: 0.09063 loss_conf3d: 0.5028 lr: 0.002 max_mem: 5634M
[03/18 13:27:23 d2.utils.events]: eta: 1:28:16 iter: 19500 total_loss: 2.075 loss_box2d_reg: 0.1441 loss_box3d_depth: 0.451 loss_box3d_proj_ctr: 0.08097 loss_box3d_quat: 0.1016 loss_box3d_size: 0.06851 loss_centerness: 0.6138 loss_cls: 0.09134 loss_conf3d: 0.5164 lr: 0.002 max_mem: 5634M
[03/18 13:27:41 d2.utils.events]: eta: 1:21:11 iter: 19520 total_loss: 2.076 loss_box2d_reg: 0.139 loss_box3d_depth: 0.4637 loss_box3d_proj_ctr: 0.0814 loss_box3d_quat: 0.1029 loss_box3d_size: 0.06706 loss_centerness: 0.6124 loss_cls: 0.09324 loss_conf3d: 0.5138 lr: 0.002 max_mem: 5634M
[03/18 13:28:00 d2.utils.events]: eta: 1:24:56 iter: 19540 total_loss: 2.029 loss_box2d_reg: 0.1384 loss_box3d_depth: 0.441 loss_box3d_proj_ctr: 0.07639 loss_box3d_quat: 0.09956 loss_box3d_size: 0.06685 loss_centerness: 0.6119 loss_cls: 0.092 loss_conf3d: 0.505 lr: 0.002 max_mem: 5634M
[03/18 13:28:18 d2.utils.events]: eta: 1:23:30 iter: 19560 total_loss: 2.051 loss_box2d_reg: 0.1415 loss_box3d_depth: 0.4372 loss_box3d_proj_ctr: 0.07915 loss_box3d_quat: 0.09618 loss_box3d_size: 0.06507 loss_centerness: 0.6129 loss_cls: 0.09335 loss_conf3d: 0.514 lr: 0.002 max_mem: 5634M
[03/18 13:28:36 d2.utils.events]: eta: 1:22:34 iter: 19580 total_loss: 2.086 loss_box2d_reg: 0.1392 loss_box3d_depth: 0.4543 loss_box3d_proj_ctr: 0.07943 loss_box3d_quat: 0.1036 loss_box3d_size: 0.0663 loss_centerness: 0.6121 loss_cls: 0.09253 loss_conf3d: 0.5153 lr: 0.002 max_mem: 5634M
[03/18 13:28:55 d2.utils.events]: eta: 1:22:45 iter: 19600 total_loss: 2.071 loss_box2d_reg: 0.1434 loss_box3d_depth: 0.4593 loss_box3d_proj_ctr: 0.07916 loss_box3d_quat: 0.1014 loss_box3d_size: 0.06706 loss_centerness: 0.6139 loss_cls: 0.09198 loss_conf3d: 0.5121 lr: 0.002 max_mem: 5634M
[03/18 13:29:13 d2.utils.events]: eta: 1:24:17 iter: 19620 total_loss: 2.031 loss_box2d_reg: 0.141 loss_box3d_depth: 0.4389 loss_box3d_proj_ctr: 0.07675 loss_box3d_quat: 0.09567 loss_box3d_size: 0.06615 loss_centerness: 0.6139 loss_cls: 0.08978 loss_conf3d: 0.5075 lr: 0.002 max_mem: 5634M
[03/18 13:29:32 d2.utils.events]: eta: 1:23:48 iter: 19640 total_loss: 2.061 loss_box2d_reg: 0.142 loss_box3d_depth: 0.4399 loss_box3d_proj_ctr: 0.07806 loss_box3d_quat: 0.09793 loss_box3d_size: 0.06806 loss_centerness: 0.6132 loss_cls: 0.09106 loss_conf3d: 0.5126 lr: 0.002 max_mem: 5634M
[03/18 13:29:50 d2.utils.events]: eta: 1:21:05 iter: 19660 total_loss: 2.085 loss_box2d_reg: 0.1401 loss_box3d_depth: 0.4814 loss_box3d_proj_ctr: 0.07679 loss_box3d_quat: 0.1012 loss_box3d_size: 0.06639 loss_centerness: 0.6151 loss_cls: 0.08877 loss_conf3d: 0.5187 lr: 0.002 max_mem: 5634M
[03/18 13:30:10 d2.utils.events]: eta: 1:25:48 iter: 19680 total_loss: 2.081 loss_box2d_reg: 0.1386 loss_box3d_depth: 0.4692 loss_box3d_proj_ctr: 0.07544 loss_box3d_quat: 0.1044 loss_box3d_size: 0.06743 loss_centerness: 0.6128 loss_cls: 0.09077 loss_conf3d: 0.5194 lr: 0.002 max_mem: 5634M
[03/18 13:30:28 d2.utils.events]: eta: 1:20:40 iter: 19700 total_loss: 2.19 loss_box2d_reg: 0.142 loss_box3d_depth: 0.5443 loss_box3d_proj_ctr: 0.08001 loss_box3d_quat: 0.1068 loss_box3d_size: 0.06873 loss_centerness: 0.6127 loss_cls: 0.093 loss_conf3d: 0.5467 lr: 0.002 max_mem: 5634M
[03/18 13:30:47 d2.utils.events]: eta: 1:21:48 iter: 19720 total_loss: 2.053 loss_box2d_reg: 0.1389 loss_box3d_depth: 0.4462 loss_box3d_proj_ctr: 0.0791 loss_box3d_quat: 0.1021 loss_box3d_size: 0.06642 loss_centerness: 0.6124 loss_cls: 0.08958 loss_conf3d: 0.5116 lr: 0.002 max_mem: 5634M
[03/18 13:31:06 d2.utils.events]: eta: 1:23:24 iter: 19740 total_loss: 2.092 loss_box2d_reg: 0.1371 loss_box3d_depth: 0.4888 loss_box3d_proj_ctr: 0.07286 loss_box3d_quat: 0.09619 loss_box3d_size: 0.06633 loss_centerness: 0.6123 loss_cls: 0.08994 loss_conf3d: 0.5306 lr: 0.002 max_mem: 5634M
[03/18 13:31:24 d2.utils.events]: eta: 1:21:38 iter: 19760 total_loss: 2.038 loss_box2d_reg: 0.1379 loss_box3d_depth: 0.4427 loss_box3d_proj_ctr: 0.08029 loss_box3d_quat: 0.09501 loss_box3d_size: 0.06665 loss_centerness: 0.6129 loss_cls: 0.09132 loss_conf3d: 0.5122 lr: 0.002 max_mem: 5634M
[03/18 13:31:43 d2.utils.events]: eta: 1:21:47 iter: 19780 total_loss: 2.089 loss_box2d_reg: 0.1359 loss_box3d_depth: 0.4733 loss_box3d_proj_ctr: 0.07515 loss_box3d_quat: 0.1007 loss_box3d_size: 0.06772 loss_centerness: 0.6123 loss_cls: 0.08959 loss_conf3d: 0.5241 lr: 0.002 max_mem: 5634M
[03/18 13:32:03 d2.utils.events]: eta: 1:23:44 iter: 19800 total_loss: 2.069 loss_box2d_reg: 0.1402 loss_box3d_depth: 0.4523 loss_box3d_proj_ctr: 0.07918 loss_box3d_quat: 0.1029 loss_box3d_size: 0.06824 loss_centerness: 0.613 loss_cls: 0.09307 loss_conf3d: 0.5149 lr: 0.002 max_mem: 5634M
[03/18 13:32:22 d2.utils.events]: eta: 1:22:03 iter: 19820 total_loss: 2.089 loss_box2d_reg: 0.1407 loss_box3d_depth: 0.4725 loss_box3d_proj_ctr: 0.0793 loss_box3d_quat: 0.09966 loss_box3d_size: 0.06885 loss_centerness: 0.6133 loss_cls: 0.09121 loss_conf3d: 0.5196 lr: 0.002 max_mem: 5634M
[03/18 13:32:41 d2.utils.events]: eta: 1:23:38 iter: 19840 total_loss: 2.165 loss_box2d_reg: 0.1409 loss_box3d_depth: 0.5439 loss_box3d_proj_ctr: 0.07753 loss_box3d_quat: 0.0962 loss_box3d_size: 0.06717 loss_centerness: 0.6146 loss_cls: 0.09058 loss_conf3d: 0.5387 lr: 0.002 max_mem: 5634M
[03/18 13:33:00 d2.utils.events]: eta: 1:22:46 iter: 19860 total_loss: 2.064 loss_box2d_reg: 0.1373 loss_box3d_depth: 0.4475 loss_box3d_proj_ctr: 0.07537 loss_box3d_quat: 0.099 loss_box3d_size: 0.06745 loss_centerness: 0.6127 loss_cls: 0.09226 loss_conf3d: 0.5121 lr: 0.002 max_mem: 5634M
[03/18 13:33:20 d2.utils.events]: eta: 1:25:27 iter: 19880 total_loss: 2.099 loss_box2d_reg: 0.1378 loss_box3d_depth: 0.4778 loss_box3d_proj_ctr: 0.08074 loss_box3d_quat: 0.1079 loss_box3d_size: 0.06724 loss_centerness: 0.6131 loss_cls: 0.09055 loss_conf3d: 0.5182 lr: 0.002 max_mem: 5634M
[03/18 13:33:39 d2.utils.events]: eta: 1:20:14 iter: 19900 total_loss: 2.141 loss_box2d_reg: 0.1434 loss_box3d_depth: 0.5027 loss_box3d_proj_ctr: 0.07986 loss_box3d_quat: 0.1103 loss_box3d_size: 0.06835 loss_centerness: 0.6123 loss_cls: 0.09161 loss_conf3d: 0.5316 lr: 0.002 max_mem: 5634M
[03/18 13:33:59 d2.utils.events]: eta: 1:22:43 iter: 19920 total_loss: 2.073 loss_box2d_reg: 0.143 loss_box3d_depth: 0.4421 loss_box3d_proj_ctr: 0.08061 loss_box3d_quat: 0.1117 loss_box3d_size: 0.06649 loss_centerness: 0.6128 loss_cls: 0.09151 loss_conf3d: 0.5173 lr: 0.002 max_mem: 5634M
[03/18 13:34:18 d2.utils.events]: eta: 1:21:12 iter: 19940 total_loss: 2.041 loss_box2d_reg: 0.1418 loss_box3d_depth: 0.4294 loss_box3d_proj_ctr: 0.07886 loss_box3d_quat: 0.1034 loss_box3d_size: 0.06807 loss_centerness: 0.6131 loss_cls: 0.09014 loss_conf3d: 0.5061 lr: 0.002 max_mem: 5634M
[03/18 13:34:37 d2.utils.events]: eta: 1:20:14 iter: 19960 total_loss: 2.006 loss_box2d_reg: 0.1351 loss_box3d_depth: 0.4147 loss_box3d_proj_ctr: 0.07608 loss_box3d_quat: 0.09404 loss_box3d_size: 0.07048 loss_centerness: 0.6125 loss_cls: 0.08967 loss_conf3d: 0.4963 lr: 0.002 max_mem: 5634M
[03/18 13:34:57 d2.utils.events]: eta: 1:21:41 iter: 19980 total_loss: 2.002 loss_box2d_reg: 0.1367 loss_box3d_depth: 0.4266 loss_box3d_proj_ctr: 0.07456 loss_box3d_quat: 0.0916 loss_box3d_size: 0.06642 loss_centerness: 0.6135 loss_cls: 0.09001 loss_conf3d: 0.5026 lr: 0.002 max_mem: 5634M
[03/18 13:35:16 d2.utils.events]: eta: 1:20:20 iter: 20000 total_loss: 2.039 loss_box2d_reg: 0.1368 loss_box3d_depth: 0.4369 loss_box3d_proj_ctr: 0.0803 loss_box3d_quat: 0.09946 loss_box3d_size: 0.06865 loss_centerness: 0.6126 loss_cls: 0.08722 loss_conf3d: 0.5118 lr: 0.002 max_mem: 5634M
[03/18 13:35:23 fvcore.common.checkpoint]: Saving checkpoint to ./model_0019999.pth
[03/18 13:35:23 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 13:35:23 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 13:35:24 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 13:35:24 tridet.data.build]: Using test sampler InferenceSampler
[03/18 13:35:24 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 13:35:32 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0010 s/iter. Inference: 0.3236 s/iter. Eval: 0.2405 s/iter. Total: 0.5652 s/iter. ETA=0:00:20
[03/18 13:35:37 d2.evaluation.evaluator]: Inference done 20/48. Dataloading: 0.0014 s/iter. Inference: 0.3317 s/iter. Eval: 0.2576 s/iter. Total: 0.5908 s/iter. ETA=0:00:16
[03/18 13:35:43 d2.evaluation.evaluator]: Inference done 29/48. Dataloading: 0.0014 s/iter. Inference: 0.3301 s/iter. Eval: 0.2507 s/iter. Total: 0.5823 s/iter. ETA=0:00:11
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 13:35:49 d2.evaluation.evaluator]: Inference done 38/48. Dataloading: 0.0013 s/iter. Inference: 0.3252 s/iter. Eval: 0.2808 s/iter. Total: 0.6074 s/iter. ETA=0:00:06
[03/18 13:35:54 d2.evaluation.evaluator]: Total inference time: 0:00:25.017857 (0.581811 s / iter per device, on 8 devices)
[03/18 13:35:54 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.310728 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 13:35:54 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 13:35:54 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0020000/kitti_3d_val/coco_instances_results.json
[03/18 13:35:55 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.50s)
creating index...
index created!
[03/18 13:35:55 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 13:35:56 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.18 seconds.
[03/18 13:35:56 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 13:35:56 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.25 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.144
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.269
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.143
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.048
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.131
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.240
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.130
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.247
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.262
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.092
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.247
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.436
[03/18 13:35:56 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.417 26.911 14.269 4.815 13.098 24.037
[03/18 13:35:56 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 43.939 Pedestrian 15.601 Cyclist 2.404
Van 8.517 Truck 1.627
[03/18 13:36:16 tridet]: Running prediction visualizer: d2_visualizer
[03/18 13:36:16 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.36it/s][03/18 13:36:19 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:08<00:00, 2.31it/s][03/18 13:36:35 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 13:36:35 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.4173
kitti_3d_val/bbox/AP50 26.911
kitti_3d_val/bbox/AP75 14.2693
kitti_3d_val/bbox/APs 4.81514
kitti_3d_val/bbox/APm 13.0982
kitti_3d_val/bbox/APl 24.0375
kitti_3d_val/bbox/AP-Car 43.9386
kitti_3d_val/bbox/AP-Pedestrian 15.6005
kitti_3d_val/bbox/AP-Cyclist 2.40354
kitti_3d_val/bbox/AP-Van 8.51707
kitti_3d_val/bbox/AP-Truck 1.62664
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 26.242
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 4.34771
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 18.1246
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 2.53662
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 15.9552
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.88578
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 1.47583
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.950429
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.569317
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.00545058
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 4.45565
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.044964
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 2.035
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.913579
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 1.60416
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.234828
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.17663
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 32.7388
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 8.6548
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 22.3792
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 5.40432
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 20.2529
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 4.81706
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 2.0709
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 1.65261
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 1.33283
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0212282
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.010958
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.0114644
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 6.01805
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.50355
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 3.10684
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.211484
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.53537
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0670055
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 2.70314
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.462293
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.397554
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 13:36:54 d2.utils.events]: eta: 6:46:35 iter: 20020 total_loss: 2.024 loss_box2d_reg: 0.138 loss_box3d_depth: 0.424 loss_box3d_proj_ctr: 0.07734 loss_box3d_quat: 0.09332 loss_box3d_size: 0.06633 loss_centerness: 0.6129 loss_cls: 0.09053 loss_conf3d: 0.5056 lr: 0.002 max_mem: 5634M
[03/18 13:37:13 d2.utils.events]: eta: 1:20:20 iter: 20040 total_loss: 1.996 loss_box2d_reg: 0.1375 loss_box3d_depth: 0.4111 loss_box3d_proj_ctr: 0.07506 loss_box3d_quat: 0.09798 loss_box3d_size: 0.06314 loss_centerness: 0.6129 loss_cls: 0.08871 loss_conf3d: 0.5047 lr: 0.002 max_mem: 5634M
[03/18 13:37:32 d2.utils.events]: eta: 1:17:58 iter: 20060 total_loss: 2.169 loss_box2d_reg: 0.1363 loss_box3d_depth: 0.5297 loss_box3d_proj_ctr: 0.07561 loss_box3d_quat: 0.0984 loss_box3d_size: 0.06664 loss_centerness: 0.6126 loss_cls: 0.08725 loss_conf3d: 0.5435 lr: 0.002 max_mem: 5634M
[03/18 13:37:51 d2.utils.events]: eta: 1:15:05 iter: 20080 total_loss: 2.093 loss_box2d_reg: 0.1382 loss_box3d_depth: 0.4903 loss_box3d_proj_ctr: 0.07458 loss_box3d_quat: 0.09757 loss_box3d_size: 0.06817 loss_centerness: 0.6119 loss_cls: 0.09266 loss_conf3d: 0.5245 lr: 0.002 max_mem: 5634M
[03/18 13:38:09 d2.utils.events]: eta: 1:16:24 iter: 20100 total_loss: 2.066 loss_box2d_reg: 0.1403 loss_box3d_depth: 0.4478 loss_box3d_proj_ctr: 0.07909 loss_box3d_quat: 0.09821 loss_box3d_size: 0.06988 loss_centerness: 0.613 loss_cls: 0.09203 loss_conf3d: 0.5091 lr: 0.002 max_mem: 5634M
[03/18 13:38:28 d2.utils.events]: eta: 1:17:28 iter: 20120 total_loss: 2.06 loss_box2d_reg: 0.1398 loss_box3d_depth: 0.4349 loss_box3d_proj_ctr: 0.07638 loss_box3d_quat: 0.09963 loss_box3d_size: 0.06861 loss_centerness: 0.6131 loss_cls: 0.0886 loss_conf3d: 0.5083 lr: 0.002 max_mem: 5634M
[03/18 13:38:46 d2.utils.events]: eta: 1:12:49 iter: 20140 total_loss: 1.997 loss_box2d_reg: 0.138 loss_box3d_depth: 0.4283 loss_box3d_proj_ctr: 0.07795 loss_box3d_quat: 0.0922 loss_box3d_size: 0.06425 loss_centerness: 0.6131 loss_cls: 0.08708 loss_conf3d: 0.5026 lr: 0.002 max_mem: 5634M
[03/18 13:39:06 d2.utils.events]: eta: 1:17:38 iter: 20160 total_loss: 2.026 loss_box2d_reg: 0.1401 loss_box3d_depth: 0.4327 loss_box3d_proj_ctr: 0.07741 loss_box3d_quat: 0.1007 loss_box3d_size: 0.06575 loss_centerness: 0.6128 loss_cls: 0.09101 loss_conf3d: 0.5077 lr: 0.002 max_mem: 5634M
[03/18 13:39:25 d2.utils.events]: eta: 1:18:05 iter: 20180 total_loss: 2.037 loss_box2d_reg: 0.14 loss_box3d_depth: 0.4313 loss_box3d_proj_ctr: 0.078 loss_box3d_quat: 0.1057 loss_box3d_size: 0.06583 loss_centerness: 0.6131 loss_cls: 0.08792 loss_conf3d: 0.5082 lr: 0.002 max_mem: 5634M
[03/18 13:39:44 d2.utils.events]: eta: 1:15:00 iter: 20200 total_loss: 2.015 loss_box2d_reg: 0.1375 loss_box3d_depth: 0.4248 loss_box3d_proj_ctr: 0.07362 loss_box3d_quat: 0.09685 loss_box3d_size: 0.06676 loss_centerness: 0.6125 loss_cls: 0.08902 loss_conf3d: 0.5024 lr: 0.002 max_mem: 5634M
[03/18 13:40:02 d2.utils.events]: eta: 1:12:47 iter: 20220 total_loss: 2.047 loss_box2d_reg: 0.1385 loss_box3d_depth: 0.4463 loss_box3d_proj_ctr: 0.0776 loss_box3d_quat: 0.09688 loss_box3d_size: 0.06557 loss_centerness: 0.613 loss_cls: 0.08977 loss_conf3d: 0.5133 lr: 0.002 max_mem: 5634M
[03/18 13:40:22 d2.utils.events]: eta: 1:17:47 iter: 20240 total_loss: 1.968 loss_box2d_reg: 0.1376 loss_box3d_depth: 0.4046 loss_box3d_proj_ctr: 0.07886 loss_box3d_quat: 0.09707 loss_box3d_size: 0.0655 loss_centerness: 0.6135 loss_cls: 0.08923 loss_conf3d: 0.498 lr: 0.002 max_mem: 5634M
[03/18 13:40:41 d2.utils.events]: eta: 1:14:14 iter: 20260 total_loss: 2.082 loss_box2d_reg: 0.1375 loss_box3d_depth: 0.4777 loss_box3d_proj_ctr: 0.0779 loss_box3d_quat: 0.09913 loss_box3d_size: 0.0659 loss_centerness: 0.6143 loss_cls: 0.08878 loss_conf3d: 0.5255 lr: 0.002 max_mem: 5634M
[03/18 13:41:00 d2.utils.events]: eta: 1:15:00 iter: 20280 total_loss: 2.045 loss_box2d_reg: 0.1383 loss_box3d_depth: 0.4535 loss_box3d_proj_ctr: 0.07597 loss_box3d_quat: 0.1005 loss_box3d_size: 0.06581 loss_centerness: 0.6139 loss_cls: 0.09012 loss_conf3d: 0.5098 lr: 0.002 max_mem: 5634M
[03/18 13:41:19 d2.utils.events]: eta: 1:14:38 iter: 20300 total_loss: 1.943 loss_box2d_reg: 0.1352 loss_box3d_depth: 0.394 loss_box3d_proj_ctr: 0.07392 loss_box3d_quat: 0.09173 loss_box3d_size: 0.06592 loss_centerness: 0.6111 loss_cls: 0.088 loss_conf3d: 0.4892 lr: 0.002 max_mem: 5634M
[03/18 13:41:37 d2.utils.events]: eta: 1:11:03 iter: 20320 total_loss: 2.044 loss_box2d_reg: 0.1376 loss_box3d_depth: 0.4414 loss_box3d_proj_ctr: 0.07728 loss_box3d_quat: 0.102 loss_box3d_size: 0.06841 loss_centerness: 0.6129 loss_cls: 0.08949 loss_conf3d: 0.5078 lr: 0.002 max_mem: 5634M
[03/18 13:41:55 d2.utils.events]: eta: 1:10:55 iter: 20340 total_loss: 2.067 loss_box2d_reg: 0.137 loss_box3d_depth: 0.4546 loss_box3d_proj_ctr: 0.07711 loss_box3d_quat: 0.09845 loss_box3d_size: 0.06702 loss_centerness: 0.6133 loss_cls: 0.08829 loss_conf3d: 0.5167 lr: 0.002 max_mem: 5634M
[03/18 13:42:14 d2.utils.events]: eta: 1:14:20 iter: 20360 total_loss: 2.129 loss_box2d_reg: 0.1399 loss_box3d_depth: 0.4993 loss_box3d_proj_ctr: 0.07714 loss_box3d_quat: 0.1056 loss_box3d_size: 0.06685 loss_centerness: 0.6135 loss_cls: 0.09176 loss_conf3d: 0.527 lr: 0.002 max_mem: 5634M
[03/18 13:42:32 d2.utils.events]: eta: 1:07:32 iter: 20380 total_loss: 2.006 loss_box2d_reg: 0.1374 loss_box3d_depth: 0.4449 loss_box3d_proj_ctr: 0.07328 loss_box3d_quat: 0.09254 loss_box3d_size: 0.06351 loss_centerness: 0.6116 loss_cls: 0.08695 loss_conf3d: 0.5014 lr: 0.002 max_mem: 5634M
[03/18 13:42:52 d2.utils.events]: eta: 1:16:59 iter: 20400 total_loss: 2.031 loss_box2d_reg: 0.1382 loss_box3d_depth: 0.4278 loss_box3d_proj_ctr: 0.07818 loss_box3d_quat: 0.09243 loss_box3d_size: 0.06648 loss_centerness: 0.6127 loss_cls: 0.09009 loss_conf3d: 0.5038 lr: 0.002 max_mem: 5634M
[03/18 13:43:12 d2.utils.events]: eta: 1:17:15 iter: 20420 total_loss: 2.021 loss_box2d_reg: 0.136 loss_box3d_depth: 0.4394 loss_box3d_proj_ctr: 0.07374 loss_box3d_quat: 0.09245 loss_box3d_size: 0.06723 loss_centerness: 0.613 loss_cls: 0.08502 loss_conf3d: 0.5099 lr: 0.002 max_mem: 5634M
[03/18 13:43:32 d2.utils.events]: eta: 1:13:14 iter: 20440 total_loss: 2.044 loss_box2d_reg: 0.1391 loss_box3d_depth: 0.4426 loss_box3d_proj_ctr: 0.07881 loss_box3d_quat: 0.1028 loss_box3d_size: 0.06706 loss_centerness: 0.6124 loss_cls: 0.08891 loss_conf3d: 0.5109 lr: 0.002 max_mem: 5634M
[03/18 13:43:52 d2.utils.events]: eta: 1:18:20 iter: 20460 total_loss: 2.047 loss_box2d_reg: 0.1392 loss_box3d_depth: 0.4375 loss_box3d_proj_ctr: 0.07602 loss_box3d_quat: 0.09582 loss_box3d_size: 0.06478 loss_centerness: 0.6132 loss_cls: 0.08835 loss_conf3d: 0.5098 lr: 0.002 max_mem: 5634M
[03/18 13:44:12 d2.utils.events]: eta: 1:15:45 iter: 20480 total_loss: 2.088 loss_box2d_reg: 0.1371 loss_box3d_depth: 0.4686 loss_box3d_proj_ctr: 0.07832 loss_box3d_quat: 0.09861 loss_box3d_size: 0.06437 loss_centerness: 0.6125 loss_cls: 0.09111 loss_conf3d: 0.5242 lr: 0.002 max_mem: 5634M
[03/18 13:44:33 d2.utils.events]: eta: 1:15:53 iter: 20500 total_loss: 1.996 loss_box2d_reg: 0.1342 loss_box3d_depth: 0.4256 loss_box3d_proj_ctr: 0.07137 loss_box3d_quat: 0.09382 loss_box3d_size: 0.06591 loss_centerness: 0.6127 loss_cls: 0.08761 loss_conf3d: 0.5041 lr: 0.002 max_mem: 5634M
[03/18 13:44:53 d2.utils.events]: eta: 1:16:14 iter: 20520 total_loss: 2.082 loss_box2d_reg: 0.1375 loss_box3d_depth: 0.4669 loss_box3d_proj_ctr: 0.07601 loss_box3d_quat: 0.09196 loss_box3d_size: 0.06709 loss_centerness: 0.6127 loss_cls: 0.08736 loss_conf3d: 0.5209 lr: 0.002 max_mem: 5634M
[03/18 13:45:13 d2.utils.events]: eta: 1:14:35 iter: 20540 total_loss: 2.032 loss_box2d_reg: 0.1376 loss_box3d_depth: 0.4247 loss_box3d_proj_ctr: 0.07318 loss_box3d_quat: 0.09009 loss_box3d_size: 0.06361 loss_centerness: 0.613 loss_cls: 0.08655 loss_conf3d: 0.5074 lr: 0.002 max_mem: 5634M
[03/18 13:45:33 d2.utils.events]: eta: 1:12:35 iter: 20560 total_loss: 2.04 loss_box2d_reg: 0.1363 loss_box3d_depth: 0.4548 loss_box3d_proj_ctr: 0.07448 loss_box3d_quat: 0.09732 loss_box3d_size: 0.06571 loss_centerness: 0.613 loss_cls: 0.08911 loss_conf3d: 0.51 lr: 0.002 max_mem: 5634M
[03/18 13:45:56 d2.utils.events]: eta: 1:26:48 iter: 20580 total_loss: 1.926 loss_box2d_reg: 0.1331 loss_box3d_depth: 0.381 loss_box3d_proj_ctr: 0.07429 loss_box3d_quat: 0.09331 loss_box3d_size: 0.06256 loss_centerness: 0.6121 loss_cls: 0.08705 loss_conf3d: 0.4865 lr: 0.002 max_mem: 5634M
[03/18 13:46:16 d2.utils.events]: eta: 1:12:34 iter: 20600 total_loss: 1.957 loss_box2d_reg: 0.1331 loss_box3d_depth: 0.3971 loss_box3d_proj_ctr: 0.07331 loss_box3d_quat: 0.0955 loss_box3d_size: 0.06491 loss_centerness: 0.6112 loss_cls: 0.08897 loss_conf3d: 0.4953 lr: 0.002 max_mem: 5634M
[03/18 13:46:36 d2.utils.events]: eta: 1:11:29 iter: 20620 total_loss: 2.011 loss_box2d_reg: 0.1386 loss_box3d_depth: 0.4188 loss_box3d_proj_ctr: 0.07941 loss_box3d_quat: 0.09886 loss_box3d_size: 0.06617 loss_centerness: 0.6132 loss_cls: 0.08954 loss_conf3d: 0.5033 lr: 0.002 max_mem: 5634M
[03/18 13:46:56 d2.utils.events]: eta: 1:13:42 iter: 20640 total_loss: 2.054 loss_box2d_reg: 0.1375 loss_box3d_depth: 0.4727 loss_box3d_proj_ctr: 0.07597 loss_box3d_quat: 0.09478 loss_box3d_size: 0.0643 loss_centerness: 0.611 loss_cls: 0.08674 loss_conf3d: 0.5204 lr: 0.002 max_mem: 5634M
[03/18 13:47:16 d2.utils.events]: eta: 1:13:26 iter: 20660 total_loss: 2.004 loss_box2d_reg: 0.1369 loss_box3d_depth: 0.441 loss_box3d_proj_ctr: 0.07563 loss_box3d_quat: 0.0909 loss_box3d_size: 0.06692 loss_centerness: 0.6125 loss_cls: 0.08813 loss_conf3d: 0.5033 lr: 0.002 max_mem: 5634M
[03/18 13:47:36 d2.utils.events]: eta: 1:11:50 iter: 20680 total_loss: 2.101 loss_box2d_reg: 0.1382 loss_box3d_depth: 0.4928 loss_box3d_proj_ctr: 0.07625 loss_box3d_quat: 0.09672 loss_box3d_size: 0.06649 loss_centerness: 0.6135 loss_cls: 0.08863 loss_conf3d: 0.5306 lr: 0.002 max_mem: 5634M
[03/18 13:47:57 d2.utils.events]: eta: 1:12:58 iter: 20700 total_loss: 2.12 loss_box2d_reg: 0.1415 loss_box3d_depth: 0.5039 loss_box3d_proj_ctr: 0.07684 loss_box3d_quat: 0.0949 loss_box3d_size: 0.06539 loss_centerness: 0.6143 loss_cls: 0.08917 loss_conf3d: 0.5334 lr: 0.002 max_mem: 5634M
[03/18 13:48:18 d2.utils.events]: eta: 1:15:42 iter: 20720 total_loss: 2.162 loss_box2d_reg: 0.1392 loss_box3d_depth: 0.5314 loss_box3d_proj_ctr: 0.07814 loss_box3d_quat: 0.09874 loss_box3d_size: 0.06777 loss_centerness: 0.6135 loss_cls: 0.0903 loss_conf3d: 0.5425 lr: 0.002 max_mem: 5634M
[03/18 13:48:38 d2.utils.events]: eta: 1:10:37 iter: 20740 total_loss: 2.023 loss_box2d_reg: 0.1342 loss_box3d_depth: 0.4358 loss_box3d_proj_ctr: 0.07376 loss_box3d_quat: 0.0973 loss_box3d_size: 0.06717 loss_centerness: 0.6123 loss_cls: 0.08904 loss_conf3d: 0.505 lr: 0.002 max_mem: 5634M
[03/18 13:48:58 d2.utils.events]: eta: 1:12:47 iter: 20760 total_loss: 1.99 loss_box2d_reg: 0.136 loss_box3d_depth: 0.4259 loss_box3d_proj_ctr: 0.07489 loss_box3d_quat: 0.09209 loss_box3d_size: 0.06483 loss_centerness: 0.6137 loss_cls: 0.08738 loss_conf3d: 0.505 lr: 0.002 max_mem: 5634M
[03/18 13:49:18 d2.utils.events]: eta: 1:09:09 iter: 20780 total_loss: 2.04 loss_box2d_reg: 0.1372 loss_box3d_depth: 0.4378 loss_box3d_proj_ctr: 0.07669 loss_box3d_quat: 0.0984 loss_box3d_size: 0.06717 loss_centerness: 0.6129 loss_cls: 0.08763 loss_conf3d: 0.5148 lr: 0.002 max_mem: 5634M
[03/18 13:49:37 d2.utils.events]: eta: 1:07:14 iter: 20800 total_loss: 2.082 loss_box2d_reg: 0.1379 loss_box3d_depth: 0.4638 loss_box3d_proj_ctr: 0.07695 loss_box3d_quat: 0.1148 loss_box3d_size: 0.06642 loss_centerness: 0.612 loss_cls: 0.08945 loss_conf3d: 0.5258 lr: 0.002 max_mem: 5634M
[03/18 13:49:58 d2.utils.events]: eta: 1:11:32 iter: 20820 total_loss: 1.971 loss_box2d_reg: 0.1345 loss_box3d_depth: 0.411 loss_box3d_proj_ctr: 0.07548 loss_box3d_quat: 0.1039 loss_box3d_size: 0.06538 loss_centerness: 0.6126 loss_cls: 0.08699 loss_conf3d: 0.4983 lr: 0.002 max_mem: 5634M
[03/18 13:50:17 d2.utils.events]: eta: 1:05:49 iter: 20840 total_loss: 2.071 loss_box2d_reg: 0.1404 loss_box3d_depth: 0.4598 loss_box3d_proj_ctr: 0.0768 loss_box3d_quat: 0.09692 loss_box3d_size: 0.06508 loss_centerness: 0.6138 loss_cls: 0.09076 loss_conf3d: 0.5157 lr: 0.002 max_mem: 5634M
[03/18 13:50:36 d2.utils.events]: eta: 1:06:24 iter: 20860 total_loss: 2.169 loss_box2d_reg: 0.137 loss_box3d_depth: 0.5442 loss_box3d_proj_ctr: 0.07388 loss_box3d_quat: 0.09445 loss_box3d_size: 0.06438 loss_centerness: 0.6124 loss_cls: 0.09025 loss_conf3d: 0.5439 lr: 0.002 max_mem: 5634M
[03/18 13:50:56 d2.utils.events]: eta: 1:08:46 iter: 20880 total_loss: 2.073 loss_box2d_reg: 0.1372 loss_box3d_depth: 0.4643 loss_box3d_proj_ctr: 0.07565 loss_box3d_quat: 0.09494 loss_box3d_size: 0.06617 loss_centerness: 0.6129 loss_cls: 0.08882 loss_conf3d: 0.5207 lr: 0.002 max_mem: 5634M
[03/18 13:51:16 d2.utils.events]: eta: 1:08:51 iter: 20900 total_loss: 2.047 loss_box2d_reg: 0.1337 loss_box3d_depth: 0.4567 loss_box3d_proj_ctr: 0.07428 loss_box3d_quat: 0.09393 loss_box3d_size: 0.06337 loss_centerness: 0.6115 loss_cls: 0.08611 loss_conf3d: 0.5112 lr: 0.002 max_mem: 5634M
[03/18 13:51:36 d2.utils.events]: eta: 1:08:23 iter: 20920 total_loss: 1.992 loss_box2d_reg: 0.1364 loss_box3d_depth: 0.4219 loss_box3d_proj_ctr: 0.07292 loss_box3d_quat: 0.09468 loss_box3d_size: 0.06384 loss_centerness: 0.6122 loss_cls: 0.08559 loss_conf3d: 0.5041 lr: 0.002 max_mem: 5634M
[03/18 13:51:57 d2.utils.events]: eta: 1:10:48 iter: 20940 total_loss: 1.988 loss_box2d_reg: 0.1322 loss_box3d_depth: 0.4301 loss_box3d_proj_ctr: 0.07099 loss_box3d_quat: 0.08499 loss_box3d_size: 0.06392 loss_centerness: 0.6119 loss_cls: 0.08343 loss_conf3d: 0.4986 lr: 0.002 max_mem: 5634M
[03/18 13:52:17 d2.utils.events]: eta: 1:07:36 iter: 20960 total_loss: 1.991 loss_box2d_reg: 0.1355 loss_box3d_depth: 0.4225 loss_box3d_proj_ctr: 0.07495 loss_box3d_quat: 0.08543 loss_box3d_size: 0.06464 loss_centerness: 0.6126 loss_cls: 0.08638 loss_conf3d: 0.4998 lr: 0.002 max_mem: 5634M
[03/18 13:52:37 d2.utils.events]: eta: 1:05:04 iter: 20980 total_loss: 2.033 loss_box2d_reg: 0.1395 loss_box3d_depth: 0.4379 loss_box3d_proj_ctr: 0.07396 loss_box3d_quat: 0.09271 loss_box3d_size: 0.06492 loss_centerness: 0.6132 loss_cls: 0.08865 loss_conf3d: 0.5083 lr: 0.002 max_mem: 5634M
[03/18 13:52:56 d2.utils.events]: eta: 1:04:34 iter: 21000 total_loss: 2 loss_box2d_reg: 0.1342 loss_box3d_depth: 0.4191 loss_box3d_proj_ctr: 0.07431 loss_box3d_quat: 0.0886 loss_box3d_size: 0.06445 loss_centerness: 0.6112 loss_cls: 0.08632 loss_conf3d: 0.503 lr: 0.002 max_mem: 5634M
[03/18 13:53:21 d2.utils.events]: eta: 1:22:34 iter: 21020 total_loss: 1.951 loss_box2d_reg: 0.1354 loss_box3d_depth: 0.3854 loss_box3d_proj_ctr: 0.073 loss_box3d_quat: 0.08742 loss_box3d_size: 0.06345 loss_centerness: 0.612 loss_cls: 0.08636 loss_conf3d: 0.4871 lr: 0.002 max_mem: 5634M
[03/18 13:53:39 d2.utils.events]: eta: 0:59:54 iter: 21040 total_loss: 1.936 loss_box2d_reg: 0.1343 loss_box3d_depth: 0.4025 loss_box3d_proj_ctr: 0.07246 loss_box3d_quat: 0.08398 loss_box3d_size: 0.06279 loss_centerness: 0.6124 loss_cls: 0.08392 loss_conf3d: 0.491 lr: 0.002 max_mem: 5634M
[03/18 13:53:58 d2.utils.events]: eta: 1:02:20 iter: 21060 total_loss: 1.991 loss_box2d_reg: 0.1361 loss_box3d_depth: 0.4255 loss_box3d_proj_ctr: 0.0748 loss_box3d_quat: 0.09631 loss_box3d_size: 0.06351 loss_centerness: 0.6124 loss_cls: 0.08623 loss_conf3d: 0.4987 lr: 0.002 max_mem: 5634M
[03/18 13:54:17 d2.utils.events]: eta: 1:00:18 iter: 21080 total_loss: 2.069 loss_box2d_reg: 0.136 loss_box3d_depth: 0.4723 loss_box3d_proj_ctr: 0.07809 loss_box3d_quat: 0.09442 loss_box3d_size: 0.06436 loss_centerness: 0.6125 loss_cls: 0.0879 loss_conf3d: 0.5169 lr: 0.002 max_mem: 5634M
[03/18 13:54:35 d2.utils.events]: eta: 1:00:27 iter: 21100 total_loss: 2.039 loss_box2d_reg: 0.134 loss_box3d_depth: 0.4637 loss_box3d_proj_ctr: 0.07343 loss_box3d_quat: 0.08582 loss_box3d_size: 0.06523 loss_centerness: 0.613 loss_cls: 0.08631 loss_conf3d: 0.5147 lr: 0.002 max_mem: 5634M
[03/18 13:54:54 d2.utils.events]: eta: 1:00:09 iter: 21120 total_loss: 1.999 loss_box2d_reg: 0.1352 loss_box3d_depth: 0.4368 loss_box3d_proj_ctr: 0.07184 loss_box3d_quat: 0.08493 loss_box3d_size: 0.06462 loss_centerness: 0.6129 loss_cls: 0.08625 loss_conf3d: 0.5022 lr: 0.002 max_mem: 5634M
[03/18 13:55:13 d2.utils.events]: eta: 1:00:42 iter: 21140 total_loss: 1.942 loss_box2d_reg: 0.1328 loss_box3d_depth: 0.4103 loss_box3d_proj_ctr: 0.07193 loss_box3d_quat: 0.08861 loss_box3d_size: 0.06151 loss_centerness: 0.6122 loss_cls: 0.08653 loss_conf3d: 0.4929 lr: 0.002 max_mem: 5634M
[03/18 13:55:32 d2.utils.events]: eta: 1:00:03 iter: 21160 total_loss: 1.94 loss_box2d_reg: 0.1313 loss_box3d_depth: 0.3968 loss_box3d_proj_ctr: 0.07173 loss_box3d_quat: 0.0868 loss_box3d_size: 0.06235 loss_centerness: 0.6125 loss_cls: 0.08383 loss_conf3d: 0.4894 lr: 0.002 max_mem: 5634M
[03/18 13:55:51 d2.utils.events]: eta: 1:03:07 iter: 21180 total_loss: 1.965 loss_box2d_reg: 0.1338 loss_box3d_depth: 0.387 loss_box3d_proj_ctr: 0.07542 loss_box3d_quat: 0.09112 loss_box3d_size: 0.06431 loss_centerness: 0.6127 loss_cls: 0.08775 loss_conf3d: 0.4946 lr: 0.002 max_mem: 5634M
[03/18 13:56:11 d2.utils.events]: eta: 1:02:25 iter: 21200 total_loss: 2.123 loss_box2d_reg: 0.1351 loss_box3d_depth: 0.5141 loss_box3d_proj_ctr: 0.07276 loss_box3d_quat: 0.09455 loss_box3d_size: 0.06455 loss_centerness: 0.6136 loss_cls: 0.08857 loss_conf3d: 0.5403 lr: 0.002 max_mem: 5634M
[03/18 13:56:29 d2.utils.events]: eta: 0:57:02 iter: 21220 total_loss: 2.047 loss_box2d_reg: 0.1363 loss_box3d_depth: 0.4632 loss_box3d_proj_ctr: 0.07664 loss_box3d_quat: 0.0882 loss_box3d_size: 0.06423 loss_centerness: 0.6116 loss_cls: 0.08715 loss_conf3d: 0.5206 lr: 0.002 max_mem: 5634M
[03/18 13:56:48 d2.utils.events]: eta: 0:59:36 iter: 21240 total_loss: 1.981 loss_box2d_reg: 0.1324 loss_box3d_depth: 0.4208 loss_box3d_proj_ctr: 0.07458 loss_box3d_quat: 0.0892 loss_box3d_size: 0.06261 loss_centerness: 0.6119 loss_cls: 0.08418 loss_conf3d: 0.4978 lr: 0.002 max_mem: 5634M
[03/18 13:57:07 d2.utils.events]: eta: 0:57:46 iter: 21260 total_loss: 1.997 loss_box2d_reg: 0.1321 loss_box3d_depth: 0.453 loss_box3d_proj_ctr: 0.07264 loss_box3d_quat: 0.086 loss_box3d_size: 0.06296 loss_centerness: 0.6113 loss_cls: 0.08514 loss_conf3d: 0.5113 lr: 0.002 max_mem: 5634M
[03/18 13:57:25 d2.utils.events]: eta: 0:56:37 iter: 21280 total_loss: 2.019 loss_box2d_reg: 0.1378 loss_box3d_depth: 0.4317 loss_box3d_proj_ctr: 0.07623 loss_box3d_quat: 0.09912 loss_box3d_size: 0.06472 loss_centerness: 0.6142 loss_cls: 0.08739 loss_conf3d: 0.5043 lr: 0.002 max_mem: 5634M
[03/18 13:57:44 d2.utils.events]: eta: 0:59:39 iter: 21300 total_loss: 1.994 loss_box2d_reg: 0.1327 loss_box3d_depth: 0.4411 loss_box3d_proj_ctr: 0.07089 loss_box3d_quat: 0.08925 loss_box3d_size: 0.0623 loss_centerness: 0.6123 loss_cls: 0.08596 loss_conf3d: 0.5063 lr: 0.002 max_mem: 5634M
[03/18 13:58:03 d2.utils.events]: eta: 0:56:21 iter: 21320 total_loss: 2.064 loss_box2d_reg: 0.136 loss_box3d_depth: 0.4562 loss_box3d_proj_ctr: 0.07423 loss_box3d_quat: 0.1006 loss_box3d_size: 0.06471 loss_centerness: 0.6122 loss_cls: 0.08858 loss_conf3d: 0.5172 lr: 0.002 max_mem: 5634M
[03/18 13:58:22 d2.utils.events]: eta: 0:56:51 iter: 21340 total_loss: 2.05 loss_box2d_reg: 0.1346 loss_box3d_depth: 0.465 loss_box3d_proj_ctr: 0.07517 loss_box3d_quat: 0.09004 loss_box3d_size: 0.06282 loss_centerness: 0.6122 loss_cls: 0.08587 loss_conf3d: 0.5158 lr: 0.002 max_mem: 5634M
[03/18 13:58:41 d2.utils.events]: eta: 0:58:12 iter: 21360 total_loss: 2.086 loss_box2d_reg: 0.1368 loss_box3d_depth: 0.4871 loss_box3d_proj_ctr: 0.07102 loss_box3d_quat: 0.097 loss_box3d_size: 0.06509 loss_centerness: 0.6126 loss_cls: 0.08802 loss_conf3d: 0.5263 lr: 0.002 max_mem: 5634M
[03/18 13:58:59 d2.utils.events]: eta: 0:56:15 iter: 21380 total_loss: 2.029 loss_box2d_reg: 0.135 loss_box3d_depth: 0.4401 loss_box3d_proj_ctr: 0.07551 loss_box3d_quat: 0.09769 loss_box3d_size: 0.06446 loss_centerness: 0.612 loss_cls: 0.08835 loss_conf3d: 0.511 lr: 0.002 max_mem: 5634M
[03/18 13:59:18 d2.utils.events]: eta: 0:55:07 iter: 21400 total_loss: 1.995 loss_box2d_reg: 0.1357 loss_box3d_depth: 0.4171 loss_box3d_proj_ctr: 0.07741 loss_box3d_quat: 0.09994 loss_box3d_size: 0.06471 loss_centerness: 0.6133 loss_cls: 0.08467 loss_conf3d: 0.5001 lr: 0.002 max_mem: 5634M
[03/18 13:59:38 d2.utils.events]: eta: 1:00:19 iter: 21420 total_loss: 1.955 loss_box2d_reg: 0.1361 loss_box3d_depth: 0.3971 loss_box3d_proj_ctr: 0.07356 loss_box3d_quat: 0.09678 loss_box3d_size: 0.06518 loss_centerness: 0.6116 loss_cls: 0.08876 loss_conf3d: 0.4949 lr: 0.002 max_mem: 5634M
[03/18 13:59:58 d2.utils.events]: eta: 0:59:25 iter: 21440 total_loss: 1.949 loss_box2d_reg: 0.1335 loss_box3d_depth: 0.3929 loss_box3d_proj_ctr: 0.06864 loss_box3d_quat: 0.08917 loss_box3d_size: 0.06384 loss_centerness: 0.6126 loss_cls: 0.08484 loss_conf3d: 0.4895 lr: 0.002 max_mem: 5634M
[03/18 14:00:17 d2.utils.events]: eta: 0:54:57 iter: 21460 total_loss: 2.024 loss_box2d_reg: 0.1361 loss_box3d_depth: 0.4457 loss_box3d_proj_ctr: 0.07457 loss_box3d_quat: 0.0872 loss_box3d_size: 0.064 loss_centerness: 0.6132 loss_cls: 0.08459 loss_conf3d: 0.5097 lr: 0.002 max_mem: 5634M
[03/18 14:00:35 d2.utils.events]: eta: 0:54:04 iter: 21480 total_loss: 2.087 loss_box2d_reg: 0.1315 loss_box3d_depth: 0.503 loss_box3d_proj_ctr: 0.07335 loss_box3d_quat: 0.08905 loss_box3d_size: 0.06467 loss_centerness: 0.6125 loss_cls: 0.0864 loss_conf3d: 0.5283 lr: 0.002 max_mem: 5634M
[03/18 14:00:54 d2.utils.events]: eta: 0:54:44 iter: 21500 total_loss: 2.036 loss_box2d_reg: 0.1358 loss_box3d_depth: 0.4827 loss_box3d_proj_ctr: 0.07606 loss_box3d_quat: 0.08927 loss_box3d_size: 0.06358 loss_centerness: 0.6122 loss_cls: 0.08743 loss_conf3d: 0.5196 lr: 0.002 max_mem: 5634M
[03/18 14:01:12 d2.utils.events]: eta: 0:51:24 iter: 21520 total_loss: 1.969 loss_box2d_reg: 0.1352 loss_box3d_depth: 0.4142 loss_box3d_proj_ctr: 0.07497 loss_box3d_quat: 0.09731 loss_box3d_size: 0.06371 loss_centerness: 0.6131 loss_cls: 0.08426 loss_conf3d: 0.4962 lr: 0.0002 max_mem: 5634M
[03/18 14:01:31 d2.utils.events]: eta: 0:54:38 iter: 21540 total_loss: 1.859 loss_box2d_reg: 0.1313 loss_box3d_depth: 0.3542 loss_box3d_proj_ctr: 0.0708 loss_box3d_quat: 0.08518 loss_box3d_size: 0.05947 loss_centerness: 0.613 loss_cls: 0.08434 loss_conf3d: 0.4728 lr: 0.0002 max_mem: 5634M
[03/18 14:01:50 d2.utils.events]: eta: 0:54:19 iter: 21560 total_loss: 1.841 loss_box2d_reg: 0.129 loss_box3d_depth: 0.335 loss_box3d_proj_ctr: 0.07278 loss_box3d_quat: 0.08183 loss_box3d_size: 0.06199 loss_centerness: 0.6123 loss_cls: 0.08301 loss_conf3d: 0.4668 lr: 0.0002 max_mem: 5634M
[03/18 14:02:08 d2.utils.events]: eta: 0:52:30 iter: 21580 total_loss: 1.815 loss_box2d_reg: 0.1264 loss_box3d_depth: 0.3238 loss_box3d_proj_ctr: 0.06717 loss_box3d_quat: 0.07378 loss_box3d_size: 0.06103 loss_centerness: 0.611 loss_cls: 0.08294 loss_conf3d: 0.4599 lr: 0.0002 max_mem: 5634M
[03/18 14:02:27 d2.utils.events]: eta: 0:52:35 iter: 21600 total_loss: 1.797 loss_box2d_reg: 0.1279 loss_box3d_depth: 0.3187 loss_box3d_proj_ctr: 0.06758 loss_box3d_quat: 0.07493 loss_box3d_size: 0.06232 loss_centerness: 0.6122 loss_cls: 0.08155 loss_conf3d: 0.4539 lr: 0.0002 max_mem: 5634M
[03/18 14:02:46 d2.utils.events]: eta: 0:53:44 iter: 21620 total_loss: 1.793 loss_box2d_reg: 0.1278 loss_box3d_depth: 0.3173 loss_box3d_proj_ctr: 0.0697 loss_box3d_quat: 0.07732 loss_box3d_size: 0.05944 loss_centerness: 0.611 loss_cls: 0.08186 loss_conf3d: 0.4553 lr: 0.0002 max_mem: 5634M
[03/18 14:03:04 d2.utils.events]: eta: 0:51:59 iter: 21640 total_loss: 1.79 loss_box2d_reg: 0.1312 loss_box3d_depth: 0.3092 loss_box3d_proj_ctr: 0.06765 loss_box3d_quat: 0.07712 loss_box3d_size: 0.05919 loss_centerness: 0.6126 loss_cls: 0.08202 loss_conf3d: 0.4533 lr: 0.0002 max_mem: 5634M
[03/18 14:03:24 d2.utils.events]: eta: 0:54:22 iter: 21660 total_loss: 1.797 loss_box2d_reg: 0.132 loss_box3d_depth: 0.3207 loss_box3d_proj_ctr: 0.06948 loss_box3d_quat: 0.07711 loss_box3d_size: 0.05878 loss_centerness: 0.6122 loss_cls: 0.08139 loss_conf3d: 0.4529 lr: 0.0002 max_mem: 5634M
[03/18 14:03:43 d2.utils.events]: eta: 0:54:29 iter: 21680 total_loss: 1.759 loss_box2d_reg: 0.125 loss_box3d_depth: 0.3003 loss_box3d_proj_ctr: 0.06686 loss_box3d_quat: 0.07343 loss_box3d_size: 0.05993 loss_centerness: 0.6107 loss_cls: 0.08035 loss_conf3d: 0.4493 lr: 0.0002 max_mem: 5634M
[03/18 14:04:02 d2.utils.events]: eta: 0:49:47 iter: 21700 total_loss: 1.787 loss_box2d_reg: 0.128 loss_box3d_depth: 0.3108 loss_box3d_proj_ctr: 0.06848 loss_box3d_quat: 0.07705 loss_box3d_size: 0.06013 loss_centerness: 0.6126 loss_cls: 0.08022 loss_conf3d: 0.4503 lr: 0.0002 max_mem: 5634M
[03/18 14:04:23 d2.utils.events]: eta: 0:59:39 iter: 21720 total_loss: 1.769 loss_box2d_reg: 0.1267 loss_box3d_depth: 0.2993 loss_box3d_proj_ctr: 0.06891 loss_box3d_quat: 0.06975 loss_box3d_size: 0.05884 loss_centerness: 0.6119 loss_cls: 0.08038 loss_conf3d: 0.4469 lr: 0.0002 max_mem: 5634M
[03/18 14:04:45 d2.utils.events]: eta: 0:57:35 iter: 21740 total_loss: 1.796 loss_box2d_reg: 0.1276 loss_box3d_depth: 0.3192 loss_box3d_proj_ctr: 0.07014 loss_box3d_quat: 0.07979 loss_box3d_size: 0.06007 loss_centerness: 0.6114 loss_cls: 0.08284 loss_conf3d: 0.4529 lr: 0.0002 max_mem: 5634M
[03/18 14:05:03 d2.utils.events]: eta: 0:49:12 iter: 21760 total_loss: 1.749 loss_box2d_reg: 0.1264 loss_box3d_depth: 0.2922 loss_box3d_proj_ctr: 0.06504 loss_box3d_quat: 0.07208 loss_box3d_size: 0.05788 loss_centerness: 0.6119 loss_cls: 0.07877 loss_conf3d: 0.4441 lr: 0.0002 max_mem: 5634M
[03/18 14:05:22 d2.utils.events]: eta: 0:50:18 iter: 21780 total_loss: 1.757 loss_box2d_reg: 0.1269 loss_box3d_depth: 0.2993 loss_box3d_proj_ctr: 0.06722 loss_box3d_quat: 0.07252 loss_box3d_size: 0.05978 loss_centerness: 0.6122 loss_cls: 0.07898 loss_conf3d: 0.4436 lr: 0.0002 max_mem: 5634M
[03/18 14:05:41 d2.utils.events]: eta: 0:51:49 iter: 21800 total_loss: 1.73 loss_box2d_reg: 0.1251 loss_box3d_depth: 0.2887 loss_box3d_proj_ctr: 0.06226 loss_box3d_quat: 0.07328 loss_box3d_size: 0.05819 loss_centerness: 0.6111 loss_cls: 0.07877 loss_conf3d: 0.4394 lr: 0.0002 max_mem: 5634M
[03/18 14:05:59 d2.utils.events]: eta: 0:49:00 iter: 21820 total_loss: 1.779 loss_box2d_reg: 0.1292 loss_box3d_depth: 0.3094 loss_box3d_proj_ctr: 0.06637 loss_box3d_quat: 0.07702 loss_box3d_size: 0.05663 loss_centerness: 0.6112 loss_cls: 0.08137 loss_conf3d: 0.4463 lr: 0.0002 max_mem: 5634M
[03/18 14:06:19 d2.utils.events]: eta: 0:50:54 iter: 21840 total_loss: 1.747 loss_box2d_reg: 0.1251 loss_box3d_depth: 0.2878 loss_box3d_proj_ctr: 0.06402 loss_box3d_quat: 0.07108 loss_box3d_size: 0.05946 loss_centerness: 0.6113 loss_cls: 0.07751 loss_conf3d: 0.4455 lr: 0.0002 max_mem: 5634M
[03/18 14:06:39 d2.utils.events]: eta: 0:53:55 iter: 21860 total_loss: 1.769 loss_box2d_reg: 0.129 loss_box3d_depth: 0.3057 loss_box3d_proj_ctr: 0.06773 loss_box3d_quat: 0.07382 loss_box3d_size: 0.05977 loss_centerness: 0.6112 loss_cls: 0.08126 loss_conf3d: 0.4457 lr: 0.0002 max_mem: 5634M
[03/18 14:06:58 d2.utils.events]: eta: 0:48:54 iter: 21880 total_loss: 1.723 loss_box2d_reg: 0.1244 loss_box3d_depth: 0.2773 loss_box3d_proj_ctr: 0.06445 loss_box3d_quat: 0.07063 loss_box3d_size: 0.05719 loss_centerness: 0.611 loss_cls: 0.07893 loss_conf3d: 0.4335 lr: 0.0002 max_mem: 5634M
[03/18 14:07:20 d2.utils.events]: eta: 0:55:35 iter: 21900 total_loss: 1.763 loss_box2d_reg: 0.1265 loss_box3d_depth: 0.2973 loss_box3d_proj_ctr: 0.06715 loss_box3d_quat: 0.07678 loss_box3d_size: 0.05963 loss_centerness: 0.6118 loss_cls: 0.07783 loss_conf3d: 0.4453 lr: 0.0002 max_mem: 5634M
[03/18 14:07:39 d2.utils.events]: eta: 0:48:36 iter: 21920 total_loss: 1.742 loss_box2d_reg: 0.1275 loss_box3d_depth: 0.2971 loss_box3d_proj_ctr: 0.06664 loss_box3d_quat: 0.07116 loss_box3d_size: 0.05683 loss_centerness: 0.6125 loss_cls: 0.08087 loss_conf3d: 0.4431 lr: 0.0002 max_mem: 5634M
[03/18 14:07:57 d2.utils.events]: eta: 0:47:24 iter: 21940 total_loss: 1.748 loss_box2d_reg: 0.1258 loss_box3d_depth: 0.2985 loss_box3d_proj_ctr: 0.06588 loss_box3d_quat: 0.07262 loss_box3d_size: 0.05766 loss_centerness: 0.6126 loss_cls: 0.07981 loss_conf3d: 0.4396 lr: 0.0002 max_mem: 5634M
[03/18 14:08:16 d2.utils.events]: eta: 0:48:17 iter: 21960 total_loss: 1.746 loss_box2d_reg: 0.1244 loss_box3d_depth: 0.2947 loss_box3d_proj_ctr: 0.06725 loss_box3d_quat: 0.07148 loss_box3d_size: 0.05775 loss_centerness: 0.6108 loss_cls: 0.0794 loss_conf3d: 0.4367 lr: 0.0002 max_mem: 5634M
[03/18 14:08:35 d2.utils.events]: eta: 0:47:06 iter: 21980 total_loss: 1.742 loss_box2d_reg: 0.1261 loss_box3d_depth: 0.2929 loss_box3d_proj_ctr: 0.06696 loss_box3d_quat: 0.06798 loss_box3d_size: 0.05837 loss_centerness: 0.6112 loss_cls: 0.07786 loss_conf3d: 0.4357 lr: 0.0002 max_mem: 5634M
[03/18 14:08:54 d2.utils.events]: eta: 0:47:41 iter: 22000 total_loss: 1.753 loss_box2d_reg: 0.1261 loss_box3d_depth: 0.2912 loss_box3d_proj_ctr: 0.06524 loss_box3d_quat: 0.07387 loss_box3d_size: 0.05854 loss_centerness: 0.6121 loss_cls: 0.07987 loss_conf3d: 0.445 lr: 0.0002 max_mem: 5634M
[03/18 14:09:00 fvcore.common.checkpoint]: Saving checkpoint to ./model_0021999.pth
[03/18 14:09:00 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 14:09:00 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 14:09:01 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 14:09:01 tridet.data.build]: Using test sampler InferenceSampler
[03/18 14:09:01 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 14:09:09 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0010 s/iter. Inference: 0.3296 s/iter. Eval: 0.2070 s/iter. Total: 0.5375 s/iter. ETA=0:00:19
[03/18 14:09:14 d2.evaluation.evaluator]: Inference done 21/48. Dataloading: 0.0013 s/iter. Inference: 0.3267 s/iter. Eval: 0.2171 s/iter. Total: 0.5451 s/iter. ETA=0:00:14
[03/18 14:09:19 d2.evaluation.evaluator]: Inference done 30/48. Dataloading: 0.0012 s/iter. Inference: 0.3280 s/iter. Eval: 0.2220 s/iter. Total: 0.5514 s/iter. ETA=0:00:09
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:09:24 d2.evaluation.evaluator]: Inference done 39/48. Dataloading: 0.0012 s/iter. Inference: 0.3243 s/iter. Eval: 0.2304 s/iter. Total: 0.5560 s/iter. ETA=0:00:05
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:09:29 d2.evaluation.evaluator]: Total inference time: 0:00:23.825154 (0.554073 s / iter per device, on 8 devices)
[03/18 14:09:29 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.312032 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 14:09:30 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 14:09:30 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0022000/kitti_3d_val/coco_instances_results.json
[03/18 14:09:30 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.55s)
creating index...
index created!
[03/18 14:09:31 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 14:09:32 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.18 seconds.
[03/18 14:09:32 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 14:09:32 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.24 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.146
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.269
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.146
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.051
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.133
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.239
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.128
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.249
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.263
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.089
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.250
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.438
[03/18 14:09:32 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.626 26.946 14.601 5.072 13.334 23.891
[03/18 14:09:32 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 44.390 Pedestrian 16.058 Cyclist 2.297
Van 8.589 Truck 1.797
[03/18 14:09:51 tridet]: Running prediction visualizer: d2_visualizer
[03/18 14:09:52 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.30it/s][03/18 14:09:55 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:09<00:00, 2.21it/s][03/18 14:10:11 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 14:10:11 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.6263
kitti_3d_val/bbox/AP50 26.9462
kitti_3d_val/bbox/AP75 14.6006
kitti_3d_val/bbox/APs 5.07189
kitti_3d_val/bbox/APm 13.3337
kitti_3d_val/bbox/APl 23.891
kitti_3d_val/bbox/AP-Car 44.39
kitti_3d_val/bbox/AP-Pedestrian 16.0584
kitti_3d_val/bbox/AP-Cyclist 2.29739
kitti_3d_val/bbox/AP-Van 8.58868
kitti_3d_val/bbox/AP-Truck 1.79693
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 24.7733
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 3.89685
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 17.4411
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 2.31742
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 15.4895
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.83041
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 1.45845
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 0.967854
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.763285
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0064711
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 4.21149
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.266272
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 1.52159
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.674941
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 3.08901
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.45053
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.501931
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 31.7099
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 7.82817
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 22.3616
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 4.75639
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 20.017
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 4.43918
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 2.54361
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0.0112946
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 1.93503
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 1.41248
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0167501
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.00910984
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.00830381
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 5.46121
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.935472
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 2.69773
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.291273
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.39675
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0604167
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 4.23386
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.694524
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.671301
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0

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azuryl commented Mar 20, 2023

[03/18 14:10:30 d2.utils.events]: eta: 3:56:45 iter: 22020 total_loss: 1.756 loss_box2d_reg: 0.1245 loss_box3d_depth: 0.2839 loss_box3d_proj_ctr: 0.06876 loss_box3d_quat: 0.07323 loss_box3d_size: 0.05928 loss_centerness: 0.6114 loss_cls: 0.07886 loss_conf3d: 0.4414 lr: 0.0002 max_mem: 5634M
[03/18 14:10:50 d2.utils.events]: eta: 0:49:41 iter: 22040 total_loss: 1.728 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2848 loss_box3d_proj_ctr: 0.06766 loss_box3d_quat: 0.06902 loss_box3d_size: 0.0578 loss_centerness: 0.6105 loss_cls: 0.07926 loss_conf3d: 0.4349 lr: 0.0002 max_mem: 5634M
[03/18 14:11:08 d2.utils.events]: eta: 0:45:21 iter: 22060 total_loss: 1.743 loss_box2d_reg: 0.13 loss_box3d_depth: 0.2864 loss_box3d_proj_ctr: 0.06886 loss_box3d_quat: 0.0707 loss_box3d_size: 0.05945 loss_centerness: 0.6126 loss_cls: 0.08055 loss_conf3d: 0.4386 lr: 0.0002 max_mem: 5634M
[03/18 14:11:29 d2.utils.events]: eta: 0:49:56 iter: 22080 total_loss: 1.717 loss_box2d_reg: 0.1261 loss_box3d_depth: 0.2815 loss_box3d_proj_ctr: 0.06551 loss_box3d_quat: 0.07139 loss_box3d_size: 0.05858 loss_centerness: 0.6121 loss_cls: 0.07761 loss_conf3d: 0.4374 lr: 0.0002 max_mem: 5634M
[03/18 14:11:48 d2.utils.events]: eta: 0:47:27 iter: 22100 total_loss: 1.716 loss_box2d_reg: 0.1245 loss_box3d_depth: 0.2713 loss_box3d_proj_ctr: 0.06447 loss_box3d_quat: 0.07503 loss_box3d_size: 0.0584 loss_centerness: 0.6119 loss_cls: 0.07776 loss_conf3d: 0.4358 lr: 0.0002 max_mem: 5634M
[03/18 14:12:07 d2.utils.events]: eta: 0:45:41 iter: 22120 total_loss: 1.73 loss_box2d_reg: 0.1264 loss_box3d_depth: 0.2857 loss_box3d_proj_ctr: 0.06645 loss_box3d_quat: 0.07248 loss_box3d_size: 0.05704 loss_centerness: 0.6114 loss_cls: 0.07835 loss_conf3d: 0.4365 lr: 0.0002 max_mem: 5634M
[03/18 14:12:26 d2.utils.events]: eta: 0:44:57 iter: 22140 total_loss: 1.734 loss_box2d_reg: 0.1239 loss_box3d_depth: 0.2853 loss_box3d_proj_ctr: 0.067 loss_box3d_quat: 0.0702 loss_box3d_size: 0.05833 loss_centerness: 0.6116 loss_cls: 0.07655 loss_conf3d: 0.4376 lr: 0.0002 max_mem: 5634M
[03/18 14:12:45 d2.utils.events]: eta: 0:44:52 iter: 22160 total_loss: 1.744 loss_box2d_reg: 0.1255 loss_box3d_depth: 0.2795 loss_box3d_proj_ctr: 0.06565 loss_box3d_quat: 0.07076 loss_box3d_size: 0.05921 loss_centerness: 0.6117 loss_cls: 0.08071 loss_conf3d: 0.439 lr: 0.0002 max_mem: 5634M
[03/18 14:13:04 d2.utils.events]: eta: 0:44:34 iter: 22180 total_loss: 1.736 loss_box2d_reg: 0.1251 loss_box3d_depth: 0.2795 loss_box3d_proj_ctr: 0.0652 loss_box3d_quat: 0.07359 loss_box3d_size: 0.05717 loss_centerness: 0.6118 loss_cls: 0.07784 loss_conf3d: 0.4359 lr: 0.0002 max_mem: 5634M
[03/18 14:13:23 d2.utils.events]: eta: 0:43:54 iter: 22200 total_loss: 1.737 loss_box2d_reg: 0.1256 loss_box3d_depth: 0.2807 loss_box3d_proj_ctr: 0.06536 loss_box3d_quat: 0.06674 loss_box3d_size: 0.0585 loss_centerness: 0.6118 loss_cls: 0.07875 loss_conf3d: 0.4348 lr: 0.0002 max_mem: 5634M
[03/18 14:13:42 d2.utils.events]: eta: 0:44:08 iter: 22220 total_loss: 1.741 loss_box2d_reg: 0.1266 loss_box3d_depth: 0.2876 loss_box3d_proj_ctr: 0.06881 loss_box3d_quat: 0.06969 loss_box3d_size: 0.05828 loss_centerness: 0.6117 loss_cls: 0.07665 loss_conf3d: 0.4374 lr: 0.0002 max_mem: 5634M
[03/18 14:14:02 d2.utils.events]: eta: 0:45:20 iter: 22240 total_loss: 1.735 loss_box2d_reg: 0.1269 loss_box3d_depth: 0.2852 loss_box3d_proj_ctr: 0.06744 loss_box3d_quat: 0.07444 loss_box3d_size: 0.05876 loss_centerness: 0.6121 loss_cls: 0.07852 loss_conf3d: 0.4371 lr: 0.0002 max_mem: 5634M
[03/18 14:14:21 d2.utils.events]: eta: 0:44:12 iter: 22260 total_loss: 1.715 loss_box2d_reg: 0.1213 loss_box3d_depth: 0.2733 loss_box3d_proj_ctr: 0.06341 loss_box3d_quat: 0.07153 loss_box3d_size: 0.05811 loss_centerness: 0.6104 loss_cls: 0.07806 loss_conf3d: 0.4309 lr: 0.0002 max_mem: 5634M
[03/18 14:14:42 d2.utils.events]: eta: 0:47:00 iter: 22280 total_loss: 1.697 loss_box2d_reg: 0.1215 loss_box3d_depth: 0.2677 loss_box3d_proj_ctr: 0.06557 loss_box3d_quat: 0.073 loss_box3d_size: 0.0575 loss_centerness: 0.611 loss_cls: 0.07892 loss_conf3d: 0.432 lr: 0.0002 max_mem: 5634M
[03/18 14:15:01 d2.utils.events]: eta: 0:41:41 iter: 22300 total_loss: 1.735 loss_box2d_reg: 0.1267 loss_box3d_depth: 0.2826 loss_box3d_proj_ctr: 0.06778 loss_box3d_quat: 0.07927 loss_box3d_size: 0.05747 loss_centerness: 0.6122 loss_cls: 0.07869 loss_conf3d: 0.4367 lr: 0.0002 max_mem: 5634M
[03/18 14:15:20 d2.utils.events]: eta: 0:42:45 iter: 22320 total_loss: 1.714 loss_box2d_reg: 0.1273 loss_box3d_depth: 0.2762 loss_box3d_proj_ctr: 0.06489 loss_box3d_quat: 0.06733 loss_box3d_size: 0.05769 loss_centerness: 0.6113 loss_cls: 0.07951 loss_conf3d: 0.4318 lr: 0.0002 max_mem: 5634M
[03/18 14:15:39 d2.utils.events]: eta: 0:43:29 iter: 22340 total_loss: 1.708 loss_box2d_reg: 0.1262 loss_box3d_depth: 0.2659 loss_box3d_proj_ctr: 0.06315 loss_box3d_quat: 0.06787 loss_box3d_size: 0.0573 loss_centerness: 0.611 loss_cls: 0.07863 loss_conf3d: 0.432 lr: 0.0002 max_mem: 5634M
[03/18 14:15:58 d2.utils.events]: eta: 0:41:19 iter: 22360 total_loss: 1.71 loss_box2d_reg: 0.1227 loss_box3d_depth: 0.2794 loss_box3d_proj_ctr: 0.06693 loss_box3d_quat: 0.06604 loss_box3d_size: 0.05861 loss_centerness: 0.6108 loss_cls: 0.07627 loss_conf3d: 0.4322 lr: 0.0002 max_mem: 5634M
[03/18 14:16:17 d2.utils.events]: eta: 0:41:22 iter: 22380 total_loss: 1.753 loss_box2d_reg: 0.1272 loss_box3d_depth: 0.2936 loss_box3d_proj_ctr: 0.06678 loss_box3d_quat: 0.07198 loss_box3d_size: 0.05957 loss_centerness: 0.6109 loss_cls: 0.07753 loss_conf3d: 0.4384 lr: 0.0002 max_mem: 5634M
[03/18 14:16:36 d2.utils.events]: eta: 0:40:12 iter: 22400 total_loss: 1.715 loss_box2d_reg: 0.1243 loss_box3d_depth: 0.2713 loss_box3d_proj_ctr: 0.06438 loss_box3d_quat: 0.07415 loss_box3d_size: 0.05599 loss_centerness: 0.6122 loss_cls: 0.07442 loss_conf3d: 0.4315 lr: 0.0002 max_mem: 5634M
[03/18 14:16:54 d2.utils.events]: eta: 0:39:28 iter: 22420 total_loss: 1.698 loss_box2d_reg: 0.1219 loss_box3d_depth: 0.2755 loss_box3d_proj_ctr: 0.06201 loss_box3d_quat: 0.06516 loss_box3d_size: 0.0567 loss_centerness: 0.611 loss_cls: 0.07462 loss_conf3d: 0.4304 lr: 0.0002 max_mem: 5634M
[03/18 14:17:12 d2.utils.events]: eta: 0:39:14 iter: 22440 total_loss: 1.736 loss_box2d_reg: 0.1254 loss_box3d_depth: 0.2781 loss_box3d_proj_ctr: 0.06816 loss_box3d_quat: 0.06982 loss_box3d_size: 0.05773 loss_centerness: 0.6116 loss_cls: 0.07953 loss_conf3d: 0.4362 lr: 0.0002 max_mem: 5634M
[03/18 14:17:31 d2.utils.events]: eta: 0:40:12 iter: 22460 total_loss: 1.741 loss_box2d_reg: 0.1265 loss_box3d_depth: 0.2806 loss_box3d_proj_ctr: 0.07039 loss_box3d_quat: 0.0682 loss_box3d_size: 0.05884 loss_centerness: 0.6112 loss_cls: 0.07811 loss_conf3d: 0.4367 lr: 0.0002 max_mem: 5634M
[03/18 14:17:49 d2.utils.events]: eta: 0:37:53 iter: 22480 total_loss: 1.732 loss_box2d_reg: 0.1246 loss_box3d_depth: 0.2866 loss_box3d_proj_ctr: 0.06454 loss_box3d_quat: 0.07118 loss_box3d_size: 0.05637 loss_centerness: 0.6121 loss_cls: 0.07867 loss_conf3d: 0.4323 lr: 0.0002 max_mem: 5634M
[03/18 14:18:08 d2.utils.events]: eta: 0:39:26 iter: 22500 total_loss: 1.727 loss_box2d_reg: 0.1251 loss_box3d_depth: 0.2773 loss_box3d_proj_ctr: 0.06592 loss_box3d_quat: 0.0692 loss_box3d_size: 0.05797 loss_centerness: 0.6121 loss_cls: 0.08 loss_conf3d: 0.4338 lr: 0.0002 max_mem: 5634M
[03/18 14:18:27 d2.utils.events]: eta: 0:39:14 iter: 22520 total_loss: 1.722 loss_box2d_reg: 0.1231 loss_box3d_depth: 0.2737 loss_box3d_proj_ctr: 0.06532 loss_box3d_quat: 0.07247 loss_box3d_size: 0.05777 loss_centerness: 0.6099 loss_cls: 0.07772 loss_conf3d: 0.4333 lr: 0.0002 max_mem: 5634M
[03/18 14:18:46 d2.utils.events]: eta: 0:39:07 iter: 22540 total_loss: 1.727 loss_box2d_reg: 0.1275 loss_box3d_depth: 0.2732 loss_box3d_proj_ctr: 0.06745 loss_box3d_quat: 0.07396 loss_box3d_size: 0.05863 loss_centerness: 0.6122 loss_cls: 0.07977 loss_conf3d: 0.431 lr: 0.0002 max_mem: 5634M
[03/18 14:19:05 d2.utils.events]: eta: 0:37:20 iter: 22560 total_loss: 1.728 loss_box2d_reg: 0.1235 loss_box3d_depth: 0.2832 loss_box3d_proj_ctr: 0.06563 loss_box3d_quat: 0.0731 loss_box3d_size: 0.05901 loss_centerness: 0.6109 loss_cls: 0.0775 loss_conf3d: 0.4339 lr: 0.0002 max_mem: 5634M
[03/18 14:19:25 d2.utils.events]: eta: 0:39:51 iter: 22580 total_loss: 1.718 loss_box2d_reg: 0.1263 loss_box3d_depth: 0.2741 loss_box3d_proj_ctr: 0.06486 loss_box3d_quat: 0.06792 loss_box3d_size: 0.05559 loss_centerness: 0.6109 loss_cls: 0.07865 loss_conf3d: 0.4341 lr: 0.0002 max_mem: 5634M
[03/18 14:19:43 d2.utils.events]: eta: 0:36:00 iter: 22600 total_loss: 1.701 loss_box2d_reg: 0.1242 loss_box3d_depth: 0.2673 loss_box3d_proj_ctr: 0.06444 loss_box3d_quat: 0.06616 loss_box3d_size: 0.05813 loss_centerness: 0.6106 loss_cls: 0.07637 loss_conf3d: 0.4293 lr: 0.0002 max_mem: 5634M
[03/18 14:20:01 d2.utils.events]: eta: 0:36:57 iter: 22620 total_loss: 1.709 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2762 loss_box3d_proj_ctr: 0.06366 loss_box3d_quat: 0.06878 loss_box3d_size: 0.05699 loss_centerness: 0.6118 loss_cls: 0.07688 loss_conf3d: 0.4314 lr: 0.0002 max_mem: 5634M
[03/18 14:20:20 d2.utils.events]: eta: 0:37:01 iter: 22640 total_loss: 1.725 loss_box2d_reg: 0.1243 loss_box3d_depth: 0.2805 loss_box3d_proj_ctr: 0.06621 loss_box3d_quat: 0.06934 loss_box3d_size: 0.05808 loss_centerness: 0.6108 loss_cls: 0.07824 loss_conf3d: 0.4345 lr: 0.0002 max_mem: 5634M
[03/18 14:20:39 d2.utils.events]: eta: 0:37:22 iter: 22660 total_loss: 1.708 loss_box2d_reg: 0.1258 loss_box3d_depth: 0.2715 loss_box3d_proj_ctr: 0.0675 loss_box3d_quat: 0.07043 loss_box3d_size: 0.05646 loss_centerness: 0.6108 loss_cls: 0.07696 loss_conf3d: 0.4317 lr: 0.0002 max_mem: 5634M
[03/18 14:20:58 d2.utils.events]: eta: 0:35:43 iter: 22680 total_loss: 1.72 loss_box2d_reg: 0.126 loss_box3d_depth: 0.2718 loss_box3d_proj_ctr: 0.06681 loss_box3d_quat: 0.07016 loss_box3d_size: 0.05755 loss_centerness: 0.6118 loss_cls: 0.08001 loss_conf3d: 0.4343 lr: 0.0002 max_mem: 5634M
[03/18 14:21:17 d2.utils.events]: eta: 0:36:03 iter: 22700 total_loss: 1.731 loss_box2d_reg: 0.1271 loss_box3d_depth: 0.2802 loss_box3d_proj_ctr: 0.06888 loss_box3d_quat: 0.06833 loss_box3d_size: 0.05756 loss_centerness: 0.6109 loss_cls: 0.08106 loss_conf3d: 0.4334 lr: 0.0002 max_mem: 5634M
[03/18 14:21:35 d2.utils.events]: eta: 0:35:32 iter: 22720 total_loss: 1.723 loss_box2d_reg: 0.1281 loss_box3d_depth: 0.2761 loss_box3d_proj_ctr: 0.06699 loss_box3d_quat: 0.07055 loss_box3d_size: 0.05822 loss_centerness: 0.6113 loss_cls: 0.07853 loss_conf3d: 0.4348 lr: 0.0002 max_mem: 5634M
[03/18 14:21:54 d2.utils.events]: eta: 0:36:00 iter: 22740 total_loss: 1.705 loss_box2d_reg: 0.1235 loss_box3d_depth: 0.2752 loss_box3d_proj_ctr: 0.06436 loss_box3d_quat: 0.07068 loss_box3d_size: 0.05656 loss_centerness: 0.6111 loss_cls: 0.07772 loss_conf3d: 0.4313 lr: 0.0002 max_mem: 5634M
[03/18 14:22:13 d2.utils.events]: eta: 0:34:58 iter: 22760 total_loss: 1.698 loss_box2d_reg: 0.1253 loss_box3d_depth: 0.2723 loss_box3d_proj_ctr: 0.06684 loss_box3d_quat: 0.06535 loss_box3d_size: 0.05544 loss_centerness: 0.6113 loss_cls: 0.07782 loss_conf3d: 0.4296 lr: 0.0002 max_mem: 5634M
[03/18 14:22:32 d2.utils.events]: eta: 0:35:37 iter: 22780 total_loss: 1.687 loss_box2d_reg: 0.1207 loss_box3d_depth: 0.2637 loss_box3d_proj_ctr: 0.06466 loss_box3d_quat: 0.06626 loss_box3d_size: 0.0554 loss_centerness: 0.611 loss_cls: 0.07769 loss_conf3d: 0.4273 lr: 0.0002 max_mem: 5634M
[03/18 14:22:51 d2.utils.events]: eta: 0:34:27 iter: 22800 total_loss: 1.735 loss_box2d_reg: 0.1285 loss_box3d_depth: 0.2814 loss_box3d_proj_ctr: 0.06818 loss_box3d_quat: 0.06968 loss_box3d_size: 0.05824 loss_centerness: 0.6123 loss_cls: 0.07728 loss_conf3d: 0.4348 lr: 0.0002 max_mem: 5634M
[03/18 14:23:11 d2.utils.events]: eta: 0:36:02 iter: 22820 total_loss: 1.727 loss_box2d_reg: 0.1242 loss_box3d_depth: 0.2764 loss_box3d_proj_ctr: 0.06651 loss_box3d_quat: 0.0692 loss_box3d_size: 0.05773 loss_centerness: 0.6113 loss_cls: 0.07858 loss_conf3d: 0.4333 lr: 0.0002 max_mem: 5634M
[03/18 14:23:30 d2.utils.events]: eta: 0:33:19 iter: 22840 total_loss: 1.703 loss_box2d_reg: 0.1237 loss_box3d_depth: 0.2771 loss_box3d_proj_ctr: 0.06652 loss_box3d_quat: 0.06538 loss_box3d_size: 0.05674 loss_centerness: 0.611 loss_cls: 0.07567 loss_conf3d: 0.4274 lr: 0.0002 max_mem: 5634M
[03/18 14:23:48 d2.utils.events]: eta: 0:32:48 iter: 22860 total_loss: 1.71 loss_box2d_reg: 0.1273 loss_box3d_depth: 0.2712 loss_box3d_proj_ctr: 0.06604 loss_box3d_quat: 0.06852 loss_box3d_size: 0.05666 loss_centerness: 0.6127 loss_cls: 0.07737 loss_conf3d: 0.4287 lr: 0.0002 max_mem: 5634M
[03/18 14:24:07 d2.utils.events]: eta: 0:32:53 iter: 22880 total_loss: 1.692 loss_box2d_reg: 0.1224 loss_box3d_depth: 0.2645 loss_box3d_proj_ctr: 0.065 loss_box3d_quat: 0.06727 loss_box3d_size: 0.05783 loss_centerness: 0.6109 loss_cls: 0.07615 loss_conf3d: 0.4292 lr: 0.0002 max_mem: 5634M
[03/18 14:24:26 d2.utils.events]: eta: 0:33:44 iter: 22900 total_loss: 1.713 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2686 loss_box3d_proj_ctr: 0.06427 loss_box3d_quat: 0.07122 loss_box3d_size: 0.05854 loss_centerness: 0.611 loss_cls: 0.0789 loss_conf3d: 0.4287 lr: 0.0002 max_mem: 5634M
[03/18 14:24:44 d2.utils.events]: eta: 0:32:04 iter: 22920 total_loss: 1.699 loss_box2d_reg: 0.1263 loss_box3d_depth: 0.2658 loss_box3d_proj_ctr: 0.06509 loss_box3d_quat: 0.06348 loss_box3d_size: 0.05809 loss_centerness: 0.6125 loss_cls: 0.07478 loss_conf3d: 0.4281 lr: 0.0002 max_mem: 5634M
[03/18 14:25:03 d2.utils.events]: eta: 0:31:55 iter: 22940 total_loss: 1.732 loss_box2d_reg: 0.124 loss_box3d_depth: 0.2737 loss_box3d_proj_ctr: 0.06669 loss_box3d_quat: 0.07275 loss_box3d_size: 0.05743 loss_centerness: 0.6121 loss_cls: 0.07659 loss_conf3d: 0.4327 lr: 0.0002 max_mem: 5634M
[03/18 14:25:22 d2.utils.events]: eta: 0:31:34 iter: 22960 total_loss: 1.687 loss_box2d_reg: 0.1229 loss_box3d_depth: 0.262 loss_box3d_proj_ctr: 0.06172 loss_box3d_quat: 0.0691 loss_box3d_size: 0.05671 loss_centerness: 0.6116 loss_cls: 0.07593 loss_conf3d: 0.4271 lr: 0.0002 max_mem: 5634M
[03/18 14:25:41 d2.utils.events]: eta: 0:31:40 iter: 22980 total_loss: 1.723 loss_box2d_reg: 0.1238 loss_box3d_depth: 0.2762 loss_box3d_proj_ctr: 0.06702 loss_box3d_quat: 0.06919 loss_box3d_size: 0.05754 loss_centerness: 0.6113 loss_cls: 0.07758 loss_conf3d: 0.4338 lr: 0.0002 max_mem: 5634M
[03/18 14:25:59 d2.utils.events]: eta: 0:31:23 iter: 23000 total_loss: 1.705 loss_box2d_reg: 0.1242 loss_box3d_depth: 0.2707 loss_box3d_proj_ctr: 0.06509 loss_box3d_quat: 0.07155 loss_box3d_size: 0.05842 loss_centerness: 0.6114 loss_cls: 0.07609 loss_conf3d: 0.4277 lr: 0.0002 max_mem: 5634M
[03/18 14:26:24 d2.utils.events]: eta: 0:40:01 iter: 23020 total_loss: 1.689 loss_box2d_reg: 0.1237 loss_box3d_depth: 0.2639 loss_box3d_proj_ctr: 0.06327 loss_box3d_quat: 0.06776 loss_box3d_size: 0.0564 loss_centerness: 0.6119 loss_cls: 0.07652 loss_conf3d: 0.4271 lr: 0.0002 max_mem: 5634M
[03/18 14:26:43 d2.utils.events]: eta: 0:32:06 iter: 23040 total_loss: 1.726 loss_box2d_reg: 0.1243 loss_box3d_depth: 0.2746 loss_box3d_proj_ctr: 0.06586 loss_box3d_quat: 0.07286 loss_box3d_size: 0.0585 loss_centerness: 0.6117 loss_cls: 0.07812 loss_conf3d: 0.4311 lr: 0.0002 max_mem: 5634M
[03/18 14:27:02 d2.utils.events]: eta: 0:30:08 iter: 23060 total_loss: 1.696 loss_box2d_reg: 0.1229 loss_box3d_depth: 0.2614 loss_box3d_proj_ctr: 0.0654 loss_box3d_quat: 0.06844 loss_box3d_size: 0.05656 loss_centerness: 0.6114 loss_cls: 0.07699 loss_conf3d: 0.4285 lr: 0.0002 max_mem: 5634M
[03/18 14:27:21 d2.utils.events]: eta: 0:30:20 iter: 23080 total_loss: 1.697 loss_box2d_reg: 0.1259 loss_box3d_depth: 0.2684 loss_box3d_proj_ctr: 0.0643 loss_box3d_quat: 0.06836 loss_box3d_size: 0.05733 loss_centerness: 0.6106 loss_cls: 0.07626 loss_conf3d: 0.4264 lr: 0.0002 max_mem: 5634M
[03/18 14:27:40 d2.utils.events]: eta: 0:30:04 iter: 23100 total_loss: 1.715 loss_box2d_reg: 0.125 loss_box3d_depth: 0.2857 loss_box3d_proj_ctr: 0.06467 loss_box3d_quat: 0.06917 loss_box3d_size: 0.05894 loss_centerness: 0.6117 loss_cls: 0.07903 loss_conf3d: 0.434 lr: 0.0002 max_mem: 5634M
[03/18 14:27:59 d2.utils.events]: eta: 0:29:48 iter: 23120 total_loss: 1.685 loss_box2d_reg: 0.1242 loss_box3d_depth: 0.2573 loss_box3d_proj_ctr: 0.0624 loss_box3d_quat: 0.06499 loss_box3d_size: 0.05587 loss_centerness: 0.6122 loss_cls: 0.07512 loss_conf3d: 0.4284 lr: 0.0002 max_mem: 5634M
[03/18 14:28:18 d2.utils.events]: eta: 0:29:26 iter: 23140 total_loss: 1.679 loss_box2d_reg: 0.1223 loss_box3d_depth: 0.2602 loss_box3d_proj_ctr: 0.06325 loss_box3d_quat: 0.06626 loss_box3d_size: 0.0556 loss_centerness: 0.6103 loss_cls: 0.07447 loss_conf3d: 0.4235 lr: 0.0002 max_mem: 5634M
[03/18 14:28:37 d2.utils.events]: eta: 0:29:07 iter: 23160 total_loss: 1.708 loss_box2d_reg: 0.1231 loss_box3d_depth: 0.2726 loss_box3d_proj_ctr: 0.06518 loss_box3d_quat: 0.06838 loss_box3d_size: 0.05677 loss_centerness: 0.6116 loss_cls: 0.07755 loss_conf3d: 0.4261 lr: 0.0002 max_mem: 5634M
[03/18 14:28:56 d2.utils.events]: eta: 0:28:26 iter: 23180 total_loss: 1.709 loss_box2d_reg: 0.1254 loss_box3d_depth: 0.2716 loss_box3d_proj_ctr: 0.06526 loss_box3d_quat: 0.07002 loss_box3d_size: 0.05798 loss_centerness: 0.6122 loss_cls: 0.07647 loss_conf3d: 0.4273 lr: 0.0002 max_mem: 5634M
[03/18 14:29:14 d2.utils.events]: eta: 0:27:48 iter: 23200 total_loss: 1.707 loss_box2d_reg: 0.1229 loss_box3d_depth: 0.258 loss_box3d_proj_ctr: 0.06591 loss_box3d_quat: 0.06632 loss_box3d_size: 0.05667 loss_centerness: 0.6118 loss_cls: 0.07843 loss_conf3d: 0.4268 lr: 0.0002 max_mem: 5634M
[03/18 14:29:33 d2.utils.events]: eta: 0:27:30 iter: 23220 total_loss: 1.711 loss_box2d_reg: 0.1272 loss_box3d_depth: 0.267 loss_box3d_proj_ctr: 0.06772 loss_box3d_quat: 0.06909 loss_box3d_size: 0.05686 loss_centerness: 0.612 loss_cls: 0.07723 loss_conf3d: 0.4278 lr: 0.0002 max_mem: 5634M
[03/18 14:29:52 d2.utils.events]: eta: 0:28:30 iter: 23240 total_loss: 1.702 loss_box2d_reg: 0.1232 loss_box3d_depth: 0.2736 loss_box3d_proj_ctr: 0.06358 loss_box3d_quat: 0.06772 loss_box3d_size: 0.05667 loss_centerness: 0.6117 loss_cls: 0.07778 loss_conf3d: 0.4312 lr: 0.0002 max_mem: 5634M
[03/18 14:30:11 d2.utils.events]: eta: 0:27:47 iter: 23260 total_loss: 1.679 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2674 loss_box3d_proj_ctr: 0.06448 loss_box3d_quat: 0.06527 loss_box3d_size: 0.05653 loss_centerness: 0.6108 loss_cls: 0.07723 loss_conf3d: 0.4237 lr: 0.0002 max_mem: 5634M
[03/18 14:30:30 d2.utils.events]: eta: 0:27:03 iter: 23280 total_loss: 1.685 loss_box2d_reg: 0.1216 loss_box3d_depth: 0.2661 loss_box3d_proj_ctr: 0.06748 loss_box3d_quat: 0.07066 loss_box3d_size: 0.05797 loss_centerness: 0.6105 loss_cls: 0.0772 loss_conf3d: 0.4246 lr: 0.0002 max_mem: 5634M
[03/18 14:30:50 d2.utils.events]: eta: 0:27:27 iter: 23300 total_loss: 1.693 loss_box2d_reg: 0.1238 loss_box3d_depth: 0.2712 loss_box3d_proj_ctr: 0.06632 loss_box3d_quat: 0.06788 loss_box3d_size: 0.05547 loss_centerness: 0.6113 loss_cls: 0.07343 loss_conf3d: 0.4267 lr: 0.0002 max_mem: 5634M
[03/18 14:31:08 d2.utils.events]: eta: 0:25:48 iter: 23320 total_loss: 1.682 loss_box2d_reg: 0.1232 loss_box3d_depth: 0.2494 loss_box3d_proj_ctr: 0.06009 loss_box3d_quat: 0.07205 loss_box3d_size: 0.05686 loss_centerness: 0.6117 loss_cls: 0.07507 loss_conf3d: 0.4257 lr: 0.0002 max_mem: 5634M
[03/18 14:31:27 d2.utils.events]: eta: 0:26:11 iter: 23340 total_loss: 1.709 loss_box2d_reg: 0.126 loss_box3d_depth: 0.2627 loss_box3d_proj_ctr: 0.06471 loss_box3d_quat: 0.06933 loss_box3d_size: 0.05657 loss_centerness: 0.6121 loss_cls: 0.07745 loss_conf3d: 0.4288 lr: 0.0002 max_mem: 5634M
[03/18 14:31:46 d2.utils.events]: eta: 0:25:18 iter: 23360 total_loss: 1.704 loss_box2d_reg: 0.123 loss_box3d_depth: 0.2609 loss_box3d_proj_ctr: 0.06757 loss_box3d_quat: 0.06551 loss_box3d_size: 0.05709 loss_centerness: 0.6116 loss_cls: 0.07546 loss_conf3d: 0.4263 lr: 0.0002 max_mem: 5634M
[03/18 14:32:05 d2.utils.events]: eta: 0:25:49 iter: 23380 total_loss: 1.688 loss_box2d_reg: 0.1245 loss_box3d_depth: 0.2668 loss_box3d_proj_ctr: 0.06611 loss_box3d_quat: 0.07191 loss_box3d_size: 0.05695 loss_centerness: 0.6109 loss_cls: 0.07497 loss_conf3d: 0.426 lr: 0.0002 max_mem: 5634M
[03/18 14:32:23 d2.utils.events]: eta: 0:24:42 iter: 23400 total_loss: 1.671 loss_box2d_reg: 0.1227 loss_box3d_depth: 0.2537 loss_box3d_proj_ctr: 0.06436 loss_box3d_quat: 0.06302 loss_box3d_size: 0.0563 loss_centerness: 0.6113 loss_cls: 0.07749 loss_conf3d: 0.4226 lr: 0.0002 max_mem: 5634M
[03/18 14:32:42 d2.utils.events]: eta: 0:24:59 iter: 23420 total_loss: 1.701 loss_box2d_reg: 0.1265 loss_box3d_depth: 0.2655 loss_box3d_proj_ctr: 0.0666 loss_box3d_quat: 0.06841 loss_box3d_size: 0.05749 loss_centerness: 0.6121 loss_cls: 0.07555 loss_conf3d: 0.4264 lr: 0.0002 max_mem: 5634M
[03/18 14:33:01 d2.utils.events]: eta: 0:24:38 iter: 23440 total_loss: 1.676 loss_box2d_reg: 0.1215 loss_box3d_depth: 0.2532 loss_box3d_proj_ctr: 0.06359 loss_box3d_quat: 0.06139 loss_box3d_size: 0.05569 loss_centerness: 0.6102 loss_cls: 0.07427 loss_conf3d: 0.4236 lr: 0.0002 max_mem: 5634M
[03/18 14:33:20 d2.utils.events]: eta: 0:24:17 iter: 23460 total_loss: 1.708 loss_box2d_reg: 0.1255 loss_box3d_depth: 0.2624 loss_box3d_proj_ctr: 0.06728 loss_box3d_quat: 0.07089 loss_box3d_size: 0.05854 loss_centerness: 0.6108 loss_cls: 0.07876 loss_conf3d: 0.4297 lr: 0.0002 max_mem: 5634M
[03/18 14:33:40 d2.utils.events]: eta: 0:25:22 iter: 23480 total_loss: 1.688 loss_box2d_reg: 0.1253 loss_box3d_depth: 0.267 loss_box3d_proj_ctr: 0.06561 loss_box3d_quat: 0.06293 loss_box3d_size: 0.05763 loss_centerness: 0.612 loss_cls: 0.07652 loss_conf3d: 0.4226 lr: 0.0002 max_mem: 5634M
[03/18 14:34:00 d2.utils.events]: eta: 0:25:07 iter: 23500 total_loss: 1.702 loss_box2d_reg: 0.1256 loss_box3d_depth: 0.2699 loss_box3d_proj_ctr: 0.06277 loss_box3d_quat: 0.07019 loss_box3d_size: 0.05739 loss_centerness: 0.6118 loss_cls: 0.07637 loss_conf3d: 0.429 lr: 0.0002 max_mem: 5634M
[03/18 14:34:19 d2.utils.events]: eta: 0:22:53 iter: 23520 total_loss: 1.711 loss_box2d_reg: 0.1259 loss_box3d_depth: 0.2675 loss_box3d_proj_ctr: 0.06797 loss_box3d_quat: 0.07055 loss_box3d_size: 0.05763 loss_centerness: 0.6104 loss_cls: 0.07788 loss_conf3d: 0.4266 lr: 0.0002 max_mem: 5634M
[03/18 14:34:39 d2.utils.events]: eta: 0:24:27 iter: 23540 total_loss: 1.7 loss_box2d_reg: 0.1239 loss_box3d_depth: 0.2651 loss_box3d_proj_ctr: 0.06312 loss_box3d_quat: 0.06497 loss_box3d_size: 0.0551 loss_centerness: 0.6123 loss_cls: 0.07616 loss_conf3d: 0.4277 lr: 0.0002 max_mem: 5634M
[03/18 14:34:59 d2.utils.events]: eta: 0:23:27 iter: 23560 total_loss: 1.707 loss_box2d_reg: 0.1273 loss_box3d_depth: 0.2614 loss_box3d_proj_ctr: 0.06756 loss_box3d_quat: 0.06962 loss_box3d_size: 0.05723 loss_centerness: 0.6109 loss_cls: 0.07859 loss_conf3d: 0.4298 lr: 0.0002 max_mem: 5634M
[03/18 14:35:17 d2.utils.events]: eta: 0:21:55 iter: 23580 total_loss: 1.673 loss_box2d_reg: 0.1234 loss_box3d_depth: 0.2622 loss_box3d_proj_ctr: 0.06539 loss_box3d_quat: 0.06278 loss_box3d_size: 0.05672 loss_centerness: 0.6116 loss_cls: 0.07428 loss_conf3d: 0.4254 lr: 0.0002 max_mem: 5634M
[03/18 14:35:37 d2.utils.events]: eta: 0:22:56 iter: 23600 total_loss: 1.699 loss_box2d_reg: 0.1244 loss_box3d_depth: 0.2627 loss_box3d_proj_ctr: 0.06494 loss_box3d_quat: 0.06511 loss_box3d_size: 0.05738 loss_centerness: 0.6121 loss_cls: 0.07529 loss_conf3d: 0.428 lr: 0.0002 max_mem: 5634M
[03/18 14:35:56 d2.utils.events]: eta: 0:21:53 iter: 23620 total_loss: 1.689 loss_box2d_reg: 0.1234 loss_box3d_depth: 0.2664 loss_box3d_proj_ctr: 0.06677 loss_box3d_quat: 0.06857 loss_box3d_size: 0.05759 loss_centerness: 0.6106 loss_cls: 0.07569 loss_conf3d: 0.424 lr: 0.0002 max_mem: 5634M
[03/18 14:36:15 d2.utils.events]: eta: 0:21:39 iter: 23640 total_loss: 1.69 loss_box2d_reg: 0.1244 loss_box3d_depth: 0.2641 loss_box3d_proj_ctr: 0.06508 loss_box3d_quat: 0.06984 loss_box3d_size: 0.05616 loss_centerness: 0.6105 loss_cls: 0.07771 loss_conf3d: 0.4261 lr: 0.0002 max_mem: 5634M
[03/18 14:36:34 d2.utils.events]: eta: 0:21:09 iter: 23660 total_loss: 1.692 loss_box2d_reg: 0.1234 loss_box3d_depth: 0.2693 loss_box3d_proj_ctr: 0.06308 loss_box3d_quat: 0.06316 loss_box3d_size: 0.05653 loss_centerness: 0.6114 loss_cls: 0.07668 loss_conf3d: 0.4235 lr: 0.0002 max_mem: 5634M
[03/18 14:36:53 d2.utils.events]: eta: 0:21:06 iter: 23680 total_loss: 1.698 loss_box2d_reg: 0.1274 loss_box3d_depth: 0.2555 loss_box3d_proj_ctr: 0.06534 loss_box3d_quat: 0.06676 loss_box3d_size: 0.05734 loss_centerness: 0.6118 loss_cls: 0.07748 loss_conf3d: 0.425 lr: 0.0002 max_mem: 5634M
[03/18 14:37:12 d2.utils.events]: eta: 0:20:42 iter: 23700 total_loss: 1.706 loss_box2d_reg: 0.124 loss_box3d_depth: 0.2658 loss_box3d_proj_ctr: 0.06467 loss_box3d_quat: 0.06768 loss_box3d_size: 0.05808 loss_centerness: 0.6119 loss_cls: 0.07785 loss_conf3d: 0.429 lr: 0.0002 max_mem: 5634M
[03/18 14:37:32 d2.utils.events]: eta: 0:20:38 iter: 23720 total_loss: 1.702 loss_box2d_reg: 0.1234 loss_box3d_depth: 0.2682 loss_box3d_proj_ctr: 0.06554 loss_box3d_quat: 0.07102 loss_box3d_size: 0.05521 loss_centerness: 0.6115 loss_cls: 0.07695 loss_conf3d: 0.4269 lr: 0.0002 max_mem: 5634M
[03/18 14:37:51 d2.utils.events]: eta: 0:20:30 iter: 23740 total_loss: 1.693 loss_box2d_reg: 0.1249 loss_box3d_depth: 0.2547 loss_box3d_proj_ctr: 0.06654 loss_box3d_quat: 0.0682 loss_box3d_size: 0.05714 loss_centerness: 0.6118 loss_cls: 0.07691 loss_conf3d: 0.424 lr: 0.0002 max_mem: 5634M
[03/18 14:38:11 d2.utils.events]: eta: 0:20:06 iter: 23760 total_loss: 1.697 loss_box2d_reg: 0.1221 loss_box3d_depth: 0.2681 loss_box3d_proj_ctr: 0.06466 loss_box3d_quat: 0.06645 loss_box3d_size: 0.05901 loss_centerness: 0.6114 loss_cls: 0.07601 loss_conf3d: 0.428 lr: 0.0002 max_mem: 5634M
[03/18 14:38:31 d2.utils.events]: eta: 0:20:08 iter: 23780 total_loss: 1.68 loss_box2d_reg: 0.122 loss_box3d_depth: 0.2547 loss_box3d_proj_ctr: 0.06587 loss_box3d_quat: 0.06413 loss_box3d_size: 0.05638 loss_centerness: 0.6111 loss_cls: 0.07594 loss_conf3d: 0.4215 lr: 0.0002 max_mem: 5634M
[03/18 14:38:50 d2.utils.events]: eta: 0:19:37 iter: 23800 total_loss: 1.673 loss_box2d_reg: 0.121 loss_box3d_depth: 0.2546 loss_box3d_proj_ctr: 0.06162 loss_box3d_quat: 0.06266 loss_box3d_size: 0.05555 loss_centerness: 0.6112 loss_cls: 0.07597 loss_conf3d: 0.4211 lr: 0.0002 max_mem: 5634M
[03/18 14:39:10 d2.utils.events]: eta: 0:19:02 iter: 23820 total_loss: 1.671 loss_box2d_reg: 0.124 loss_box3d_depth: 0.253 loss_box3d_proj_ctr: 0.06508 loss_box3d_quat: 0.06931 loss_box3d_size: 0.05612 loss_centerness: 0.6118 loss_cls: 0.07613 loss_conf3d: 0.4217 lr: 0.0002 max_mem: 5634M
[03/18 14:39:30 d2.utils.events]: eta: 0:19:44 iter: 23840 total_loss: 1.694 loss_box2d_reg: 0.1254 loss_box3d_depth: 0.2643 loss_box3d_proj_ctr: 0.06556 loss_box3d_quat: 0.06474 loss_box3d_size: 0.05623 loss_centerness: 0.6114 loss_cls: 0.07622 loss_conf3d: 0.4282 lr: 0.0002 max_mem: 5634M
[03/18 14:39:48 d2.utils.events]: eta: 0:17:27 iter: 23860 total_loss: 1.704 loss_box2d_reg: 0.124 loss_box3d_depth: 0.2695 loss_box3d_proj_ctr: 0.06555 loss_box3d_quat: 0.06473 loss_box3d_size: 0.05674 loss_centerness: 0.6111 loss_cls: 0.07811 loss_conf3d: 0.4286 lr: 0.0002 max_mem: 5634M
[03/18 14:40:08 d2.utils.events]: eta: 0:18:00 iter: 23880 total_loss: 1.696 loss_box2d_reg: 0.1257 loss_box3d_depth: 0.2751 loss_box3d_proj_ctr: 0.06433 loss_box3d_quat: 0.07274 loss_box3d_size: 0.0559 loss_centerness: 0.6112 loss_cls: 0.07653 loss_conf3d: 0.4283 lr: 0.0002 max_mem: 5634M
[03/18 14:40:27 d2.utils.events]: eta: 0:17:44 iter: 23900 total_loss: 1.679 loss_box2d_reg: 0.1232 loss_box3d_depth: 0.2554 loss_box3d_proj_ctr: 0.0629 loss_box3d_quat: 0.06738 loss_box3d_size: 0.05749 loss_centerness: 0.6117 loss_cls: 0.07669 loss_conf3d: 0.4229 lr: 0.0002 max_mem: 5634M
[03/18 14:40:46 d2.utils.events]: eta: 0:17:12 iter: 23920 total_loss: 1.663 loss_box2d_reg: 0.1227 loss_box3d_depth: 0.2635 loss_box3d_proj_ctr: 0.06282 loss_box3d_quat: 0.06359 loss_box3d_size: 0.05529 loss_centerness: 0.6113 loss_cls: 0.07601 loss_conf3d: 0.4217 lr: 0.0002 max_mem: 5634M
[03/18 14:41:06 d2.utils.events]: eta: 0:17:51 iter: 23940 total_loss: 1.688 loss_box2d_reg: 0.1244 loss_box3d_depth: 0.2669 loss_box3d_proj_ctr: 0.06566 loss_box3d_quat: 0.07 loss_box3d_size: 0.05813 loss_centerness: 0.6111 loss_cls: 0.07739 loss_conf3d: 0.4302 lr: 0.0002 max_mem: 5634M
[03/18 14:41:26 d2.utils.events]: eta: 0:16:59 iter: 23960 total_loss: 1.671 loss_box2d_reg: 0.1237 loss_box3d_depth: 0.2538 loss_box3d_proj_ctr: 0.06393 loss_box3d_quat: 0.06197 loss_box3d_size: 0.05608 loss_centerness: 0.6112 loss_cls: 0.07471 loss_conf3d: 0.4259 lr: 0.0002 max_mem: 5634M
[03/18 14:41:46 d2.utils.events]: eta: 0:16:31 iter: 23980 total_loss: 1.692 loss_box2d_reg: 0.1222 loss_box3d_depth: 0.2681 loss_box3d_proj_ctr: 0.06268 loss_box3d_quat: 0.0669 loss_box3d_size: 0.0572 loss_centerness: 0.6113 loss_cls: 0.07492 loss_conf3d: 0.4257 lr: 0.0002 max_mem: 5634M
[03/18 14:42:06 d2.utils.events]: eta: 0:16:42 iter: 24000 total_loss: 1.682 loss_box2d_reg: 0.1232 loss_box3d_depth: 0.2613 loss_box3d_proj_ctr: 0.06317 loss_box3d_quat: 0.06335 loss_box3d_size: 0.05673 loss_centerness: 0.6109 loss_cls: 0.07793 loss_conf3d: 0.4231 lr: 0.0002 max_mem: 5634M
[03/18 14:42:14 fvcore.common.checkpoint]: Saving checkpoint to ./model_0023999.pth
[03/18 14:42:15 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 14:42:15 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 14:42:16 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 14:42:16 tridet.data.build]: Using test sampler InferenceSampler
[03/18 14:42:16 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 14:42:23 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0010 s/iter. Inference: 0.3297 s/iter. Eval: 0.2114 s/iter. Total: 0.5421 s/iter. ETA=0:00:20
[03/18 14:42:29 d2.evaluation.evaluator]: Inference done 21/48. Dataloading: 0.0015 s/iter. Inference: 0.3369 s/iter. Eval: 0.2031 s/iter. Total: 0.5415 s/iter. ETA=0:00:14
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:42:34 d2.evaluation.evaluator]: Inference done 31/48. Dataloading: 0.0013 s/iter. Inference: 0.3349 s/iter. Eval: 0.2034 s/iter. Total: 0.5398 s/iter. ETA=0:00:09
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:42:39 d2.evaluation.evaluator]: Inference done 41/48. Dataloading: 0.0013 s/iter. Inference: 0.3278 s/iter. Eval: 0.2061 s/iter. Total: 0.5353 s/iter. ETA=0:00:03
[03/18 14:42:42 d2.evaluation.evaluator]: Total inference time: 0:00:22.475924 (0.522696 s / iter per device, on 8 devices)
[03/18 14:42:42 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.314139 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 14:42:43 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 14:42:43 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/step0024000/kitti_3d_val/coco_instances_results.json
[03/18 14:42:44 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.07s)
creating index...
index created!
[03/18 14:42:44 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 14:42:45 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.58 seconds.
[03/18 14:42:45 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 14:42:46 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.22 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.144
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.262
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.145
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.049
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.129
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.239
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.123
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.240
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.253
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.087
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.236
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.430
[03/18 14:42:46 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.391 26.212 14.471 4.887 12.931 23.899
[03/18 14:42:46 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 44.269 Pedestrian 15.532 Cyclist 2.195
Van 8.378 Truck 1.579
[03/18 14:43:03 tridet]: Running prediction visualizer: d2_visualizer
[03/18 14:43:04 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.31it/s][03/18 14:43:08 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:09<00:00, 2.20it/s][03/18 14:43:24 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 14:43:24 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.3906
kitti_3d_val/bbox/AP50 26.212
kitti_3d_val/bbox/AP75 14.471
kitti_3d_val/bbox/APs 4.88686
kitti_3d_val/bbox/APm 12.9313
kitti_3d_val/bbox/APl 23.8994
kitti_3d_val/bbox/AP-Car 44.2692
kitti_3d_val/bbox/AP-Pedestrian 15.532
kitti_3d_val/bbox/AP-Cyclist 2.19487
kitti_3d_val/bbox/AP-Van 8.3782
kitti_3d_val/bbox/AP-Truck 1.57851
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 25.0648
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 3.78727
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 17.6093
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 2.35563
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 15.8936
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 1.95773
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 1.55454
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 1.19259
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.921207
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0258732
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 3.92551
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.0892857
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 1.75159
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.903193
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 1.92662
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.283589
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.335917
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 31.0931
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 7.70065
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 21.9149
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 4.88041
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 20.0085
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 4.57186
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 2.77052
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 2.07154
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 1.68242
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.042153
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0.0469337
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0.0469337
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 4.99901
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.807427
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 2.45723
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.280418
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.38003
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0791485
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 2.75173
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.463537
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.376812
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0
[03/18 14:43:43 d2.utils.events]: eta: 1:19:46 iter: 24020 total_loss: 1.701 loss_box2d_reg: 0.1257 loss_box3d_depth: 0.2616 loss_box3d_proj_ctr: 0.0654 loss_box3d_quat: 0.06921 loss_box3d_size: 0.05786 loss_centerness: 0.6115 loss_cls: 0.08105 loss_conf3d: 0.4215 lr: 2e-05 max_mem: 5634M
[03/18 14:44:02 d2.utils.events]: eta: 0:15:07 iter: 24040 total_loss: 1.675 loss_box2d_reg: 0.1206 loss_box3d_depth: 0.2539 loss_box3d_proj_ctr: 0.06148 loss_box3d_quat: 0.06709 loss_box3d_size: 0.05657 loss_centerness: 0.6113 loss_cls: 0.07729 loss_conf3d: 0.4219 lr: 2e-05 max_mem: 5634M
[03/18 14:44:22 d2.utils.events]: eta: 0:15:18 iter: 24060 total_loss: 1.691 loss_box2d_reg: 0.1247 loss_box3d_depth: 0.2627 loss_box3d_proj_ctr: 0.0672 loss_box3d_quat: 0.06853 loss_box3d_size: 0.0577 loss_centerness: 0.6123 loss_cls: 0.07622 loss_conf3d: 0.4243 lr: 2e-05 max_mem: 5634M
[03/18 14:44:41 d2.utils.events]: eta: 0:14:40 iter: 24080 total_loss: 1.678 loss_box2d_reg: 0.1231 loss_box3d_depth: 0.2604 loss_box3d_proj_ctr: 0.06567 loss_box3d_quat: 0.06431 loss_box3d_size: 0.0582 loss_centerness: 0.6119 loss_cls: 0.07496 loss_conf3d: 0.4226 lr: 2e-05 max_mem: 5634M
[03/18 14:45:00 d2.utils.events]: eta: 0:14:02 iter: 24100 total_loss: 1.683 loss_box2d_reg: 0.1256 loss_box3d_depth: 0.2585 loss_box3d_proj_ctr: 0.06543 loss_box3d_quat: 0.06654 loss_box3d_size: 0.05501 loss_centerness: 0.6114 loss_cls: 0.0768 loss_conf3d: 0.4216 lr: 2e-05 max_mem: 5634M
[03/18 14:45:20 d2.utils.events]: eta: 0:14:48 iter: 24120 total_loss: 1.685 loss_box2d_reg: 0.1246 loss_box3d_depth: 0.2607 loss_box3d_proj_ctr: 0.06252 loss_box3d_quat: 0.06573 loss_box3d_size: 0.05709 loss_centerness: 0.6114 loss_cls: 0.07499 loss_conf3d: 0.4186 lr: 2e-05 max_mem: 5634M
[03/18 14:45:39 d2.utils.events]: eta: 0:13:32 iter: 24140 total_loss: 1.651 loss_box2d_reg: 0.1204 loss_box3d_depth: 0.2451 loss_box3d_proj_ctr: 0.0632 loss_box3d_quat: 0.06584 loss_box3d_size: 0.05561 loss_centerness: 0.6105 loss_cls: 0.0727 loss_conf3d: 0.4174 lr: 2e-05 max_mem: 5634M
[03/18 14:45:58 d2.utils.events]: eta: 0:13:10 iter: 24160 total_loss: 1.681 loss_box2d_reg: 0.1226 loss_box3d_depth: 0.2565 loss_box3d_proj_ctr: 0.06429 loss_box3d_quat: 0.06336 loss_box3d_size: 0.0575 loss_centerness: 0.6115 loss_cls: 0.07709 loss_conf3d: 0.4227 lr: 2e-05 max_mem: 5634M
[03/18 14:46:18 d2.utils.events]: eta: 0:13:35 iter: 24180 total_loss: 1.686 loss_box2d_reg: 0.1219 loss_box3d_depth: 0.2629 loss_box3d_proj_ctr: 0.06497 loss_box3d_quat: 0.06616 loss_box3d_size: 0.05447 loss_centerness: 0.6119 loss_cls: 0.07578 loss_conf3d: 0.425 lr: 2e-05 max_mem: 5634M
[03/18 14:46:37 d2.utils.events]: eta: 0:12:47 iter: 24200 total_loss: 1.664 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2588 loss_box3d_proj_ctr: 0.0628 loss_box3d_quat: 0.06387 loss_box3d_size: 0.05656 loss_centerness: 0.611 loss_cls: 0.07331 loss_conf3d: 0.4184 lr: 2e-05 max_mem: 5634M
[03/18 14:46:55 d2.utils.events]: eta: 0:12:00 iter: 24220 total_loss: 1.667 loss_box2d_reg: 0.1255 loss_box3d_depth: 0.2461 loss_box3d_proj_ctr: 0.06229 loss_box3d_quat: 0.06571 loss_box3d_size: 0.05467 loss_centerness: 0.6118 loss_cls: 0.07636 loss_conf3d: 0.4176 lr: 2e-05 max_mem: 5634M
[03/18 14:47:16 d2.utils.events]: eta: 0:12:43 iter: 24240 total_loss: 1.644 loss_box2d_reg: 0.1205 loss_box3d_depth: 0.2496 loss_box3d_proj_ctr: 0.06642 loss_box3d_quat: 0.06287 loss_box3d_size: 0.05589 loss_centerness: 0.6115 loss_cls: 0.07422 loss_conf3d: 0.4171 lr: 2e-05 max_mem: 5634M
[03/18 14:47:35 d2.utils.events]: eta: 0:12:02 iter: 24260 total_loss: 1.66 loss_box2d_reg: 0.1209 loss_box3d_depth: 0.2499 loss_box3d_proj_ctr: 0.06357 loss_box3d_quat: 0.06177 loss_box3d_size: 0.0566 loss_centerness: 0.6114 loss_cls: 0.07555 loss_conf3d: 0.4203 lr: 2e-05 max_mem: 5634M
[03/18 14:47:54 d2.utils.events]: eta: 0:11:14 iter: 24280 total_loss: 1.672 loss_box2d_reg: 0.1241 loss_box3d_depth: 0.2529 loss_box3d_proj_ctr: 0.06698 loss_box3d_quat: 0.07075 loss_box3d_size: 0.05743 loss_centerness: 0.6122 loss_cls: 0.07625 loss_conf3d: 0.4205 lr: 2e-05 max_mem: 5634M
[03/18 14:48:12 d2.utils.events]: eta: 0:10:43 iter: 24300 total_loss: 1.673 loss_box2d_reg: 0.1226 loss_box3d_depth: 0.2538 loss_box3d_proj_ctr: 0.06319 loss_box3d_quat: 0.06768 loss_box3d_size: 0.05515 loss_centerness: 0.6105 loss_cls: 0.07603 loss_conf3d: 0.4227 lr: 2e-05 max_mem: 5634M
[03/18 14:48:32 d2.utils.events]: eta: 0:11:00 iter: 24320 total_loss: 1.678 loss_box2d_reg: 0.1238 loss_box3d_depth: 0.256 loss_box3d_proj_ctr: 0.06483 loss_box3d_quat: 0.0659 loss_box3d_size: 0.05759 loss_centerness: 0.6114 loss_cls: 0.07589 loss_conf3d: 0.4221 lr: 2e-05 max_mem: 5634M
[03/18 14:48:50 d2.utils.events]: eta: 0:10:09 iter: 24340 total_loss: 1.664 loss_box2d_reg: 0.1215 loss_box3d_depth: 0.2523 loss_box3d_proj_ctr: 0.06255 loss_box3d_quat: 0.06427 loss_box3d_size: 0.05658 loss_centerness: 0.6097 loss_cls: 0.07689 loss_conf3d: 0.4168 lr: 2e-05 max_mem: 5634M
[03/18 14:49:10 d2.utils.events]: eta: 0:10:20 iter: 24360 total_loss: 1.674 loss_box2d_reg: 0.122 loss_box3d_depth: 0.2569 loss_box3d_proj_ctr: 0.06493 loss_box3d_quat: 0.06498 loss_box3d_size: 0.05664 loss_centerness: 0.6112 loss_cls: 0.07548 loss_conf3d: 0.4212 lr: 2e-05 max_mem: 5634M
[03/18 14:49:29 d2.utils.events]: eta: 0:10:09 iter: 24380 total_loss: 1.679 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2537 loss_box3d_proj_ctr: 0.06215 loss_box3d_quat: 0.06668 loss_box3d_size: 0.05736 loss_centerness: 0.6122 loss_cls: 0.07707 loss_conf3d: 0.4207 lr: 2e-05 max_mem: 5634M
[03/18 14:49:48 d2.utils.events]: eta: 0:09:09 iter: 24400 total_loss: 1.684 loss_box2d_reg: 0.1242 loss_box3d_depth: 0.253 loss_box3d_proj_ctr: 0.06344 loss_box3d_quat: 0.07128 loss_box3d_size: 0.05634 loss_centerness: 0.6122 loss_cls: 0.07729 loss_conf3d: 0.4214 lr: 2e-05 max_mem: 5634M
[03/18 14:50:07 d2.utils.events]: eta: 0:09:18 iter: 24420 total_loss: 1.678 loss_box2d_reg: 0.1258 loss_box3d_depth: 0.2607 loss_box3d_proj_ctr: 0.06478 loss_box3d_quat: 0.06829 loss_box3d_size: 0.05725 loss_centerness: 0.6115 loss_cls: 0.07906 loss_conf3d: 0.424 lr: 2e-05 max_mem: 5634M
[03/18 14:50:27 d2.utils.events]: eta: 0:09:10 iter: 24440 total_loss: 1.653 loss_box2d_reg: 0.1209 loss_box3d_depth: 0.2459 loss_box3d_proj_ctr: 0.065 loss_box3d_quat: 0.06478 loss_box3d_size: 0.05532 loss_centerness: 0.6108 loss_cls: 0.07448 loss_conf3d: 0.4181 lr: 2e-05 max_mem: 5634M
[03/18 14:50:46 d2.utils.events]: eta: 0:08:37 iter: 24460 total_loss: 1.678 loss_box2d_reg: 0.122 loss_box3d_depth: 0.2561 loss_box3d_proj_ctr: 0.06455 loss_box3d_quat: 0.06419 loss_box3d_size: 0.05527 loss_centerness: 0.6111 loss_cls: 0.07783 loss_conf3d: 0.4212 lr: 2e-05 max_mem: 5634M
[03/18 14:51:05 d2.utils.events]: eta: 0:08:16 iter: 24480 total_loss: 1.658 loss_box2d_reg: 0.125 loss_box3d_depth: 0.2511 loss_box3d_proj_ctr: 0.0643 loss_box3d_quat: 0.06265 loss_box3d_size: 0.05652 loss_centerness: 0.6112 loss_cls: 0.07448 loss_conf3d: 0.4186 lr: 2e-05 max_mem: 5634M
[03/18 14:51:24 d2.utils.events]: eta: 0:07:54 iter: 24500 total_loss: 1.654 loss_box2d_reg: 0.1225 loss_box3d_depth: 0.2429 loss_box3d_proj_ctr: 0.0633 loss_box3d_quat: 0.06463 loss_box3d_size: 0.05407 loss_centerness: 0.6111 loss_cls: 0.07478 loss_conf3d: 0.4159 lr: 2e-05 max_mem: 5634M
[03/18 14:51:43 d2.utils.events]: eta: 0:07:24 iter: 24520 total_loss: 1.678 loss_box2d_reg: 0.1222 loss_box3d_depth: 0.2564 loss_box3d_proj_ctr: 0.0647 loss_box3d_quat: 0.064 loss_box3d_size: 0.05609 loss_centerness: 0.612 loss_cls: 0.07281 loss_conf3d: 0.4241 lr: 2e-05 max_mem: 5634M
[03/18 14:52:02 d2.utils.events]: eta: 0:07:21 iter: 24540 total_loss: 1.674 loss_box2d_reg: 0.1226 loss_box3d_depth: 0.2513 loss_box3d_proj_ctr: 0.06605 loss_box3d_quat: 0.06641 loss_box3d_size: 0.05553 loss_centerness: 0.6103 loss_cls: 0.0757 loss_conf3d: 0.4222 lr: 2e-05 max_mem: 5634M
[03/18 14:52:21 d2.utils.events]: eta: 0:07:00 iter: 24560 total_loss: 1.678 loss_box2d_reg: 0.1228 loss_box3d_depth: 0.2588 loss_box3d_proj_ctr: 0.06163 loss_box3d_quat: 0.0633 loss_box3d_size: 0.05692 loss_centerness: 0.6115 loss_cls: 0.07594 loss_conf3d: 0.4212 lr: 2e-05 max_mem: 5634M
[03/18 14:52:40 d2.utils.events]: eta: 0:06:39 iter: 24580 total_loss: 1.668 loss_box2d_reg: 0.1232 loss_box3d_depth: 0.2482 loss_box3d_proj_ctr: 0.06428 loss_box3d_quat: 0.06533 loss_box3d_size: 0.05586 loss_centerness: 0.6107 loss_cls: 0.07775 loss_conf3d: 0.4196 lr: 2e-05 max_mem: 5634M
[03/18 14:52:59 d2.utils.events]: eta: 0:06:25 iter: 24600 total_loss: 1.67 loss_box2d_reg: 0.1222 loss_box3d_depth: 0.262 loss_box3d_proj_ctr: 0.06562 loss_box3d_quat: 0.05997 loss_box3d_size: 0.05734 loss_centerness: 0.6112 loss_cls: 0.0744 loss_conf3d: 0.42 lr: 2e-05 max_mem: 5634M
[03/18 14:53:19 d2.utils.events]: eta: 0:06:09 iter: 24620 total_loss: 1.693 loss_box2d_reg: 0.124 loss_box3d_depth: 0.2633 loss_box3d_proj_ctr: 0.06335 loss_box3d_quat: 0.06902 loss_box3d_size: 0.05498 loss_centerness: 0.6113 loss_cls: 0.07572 loss_conf3d: 0.4235 lr: 2e-05 max_mem: 5634M
[03/18 14:53:38 d2.utils.events]: eta: 0:05:34 iter: 24640 total_loss: 1.685 loss_box2d_reg: 0.1248 loss_box3d_depth: 0.2597 loss_box3d_proj_ctr: 0.06728 loss_box3d_quat: 0.06623 loss_box3d_size: 0.05634 loss_centerness: 0.612 loss_cls: 0.07686 loss_conf3d: 0.4223 lr: 2e-05 max_mem: 5634M
[03/18 14:53:57 d2.utils.events]: eta: 0:05:20 iter: 24660 total_loss: 1.674 loss_box2d_reg: 0.123 loss_box3d_depth: 0.2519 loss_box3d_proj_ctr: 0.06184 loss_box3d_quat: 0.06408 loss_box3d_size: 0.05645 loss_centerness: 0.6111 loss_cls: 0.07582 loss_conf3d: 0.4197 lr: 2e-05 max_mem: 5634M
[03/18 14:54:16 d2.utils.events]: eta: 0:05:14 iter: 24680 total_loss: 1.668 loss_box2d_reg: 0.1223 loss_box3d_depth: 0.2556 loss_box3d_proj_ctr: 0.06326 loss_box3d_quat: 0.0665 loss_box3d_size: 0.0571 loss_centerness: 0.6109 loss_cls: 0.07616 loss_conf3d: 0.4197 lr: 2e-05 max_mem: 5634M
[03/18 14:54:35 d2.utils.events]: eta: 0:04:38 iter: 24700 total_loss: 1.662 loss_box2d_reg: 0.1217 loss_box3d_depth: 0.2477 loss_box3d_proj_ctr: 0.06549 loss_box3d_quat: 0.05924 loss_box3d_size: 0.05583 loss_centerness: 0.6111 loss_cls: 0.07486 loss_conf3d: 0.4191 lr: 2e-05 max_mem: 5634M
[03/18 14:54:54 d2.utils.events]: eta: 0:04:27 iter: 24720 total_loss: 1.653 loss_box2d_reg: 0.1208 loss_box3d_depth: 0.2533 loss_box3d_proj_ctr: 0.06251 loss_box3d_quat: 0.06368 loss_box3d_size: 0.05576 loss_centerness: 0.6113 loss_cls: 0.07465 loss_conf3d: 0.4184 lr: 2e-05 max_mem: 5634M
[03/18 14:55:15 d2.utils.events]: eta: 0:04:25 iter: 24740 total_loss: 1.678 loss_box2d_reg: 0.1246 loss_box3d_depth: 0.2545 loss_box3d_proj_ctr: 0.06373 loss_box3d_quat: 0.06466 loss_box3d_size: 0.05629 loss_centerness: 0.6109 loss_cls: 0.07638 loss_conf3d: 0.4203 lr: 2e-05 max_mem: 5634M
[03/18 14:55:34 d2.utils.events]: eta: 0:03:47 iter: 24760 total_loss: 1.67 loss_box2d_reg: 0.1239 loss_box3d_depth: 0.2462 loss_box3d_proj_ctr: 0.06351 loss_box3d_quat: 0.0684 loss_box3d_size: 0.05641 loss_centerness: 0.6107 loss_cls: 0.07611 loss_conf3d: 0.421 lr: 2e-05 max_mem: 5634M
[03/18 14:55:53 d2.utils.events]: eta: 0:03:27 iter: 24780 total_loss: 1.683 loss_box2d_reg: 0.1254 loss_box3d_depth: 0.2577 loss_box3d_proj_ctr: 0.06431 loss_box3d_quat: 0.06347 loss_box3d_size: 0.0573 loss_centerness: 0.6109 loss_cls: 0.07522 loss_conf3d: 0.4199 lr: 2e-05 max_mem: 5634M
[03/18 14:56:13 d2.utils.events]: eta: 0:03:18 iter: 24800 total_loss: 1.683 loss_box2d_reg: 0.122 loss_box3d_depth: 0.2498 loss_box3d_proj_ctr: 0.06555 loss_box3d_quat: 0.0686 loss_box3d_size: 0.05529 loss_centerness: 0.6107 loss_cls: 0.07901 loss_conf3d: 0.4219 lr: 2e-05 max_mem: 5634M
[03/18 14:56:32 d2.utils.events]: eta: 0:02:51 iter: 24820 total_loss: 1.697 loss_box2d_reg: 0.1245 loss_box3d_depth: 0.2697 loss_box3d_proj_ctr: 0.06676 loss_box3d_quat: 0.06719 loss_box3d_size: 0.05632 loss_centerness: 0.612 loss_cls: 0.07736 loss_conf3d: 0.4248 lr: 2e-05 max_mem: 5634M
[03/18 14:56:51 d2.utils.events]: eta: 0:02:33 iter: 24840 total_loss: 1.673 loss_box2d_reg: 0.1227 loss_box3d_depth: 0.2553 loss_box3d_proj_ctr: 0.06574 loss_box3d_quat: 0.06533 loss_box3d_size: 0.05603 loss_centerness: 0.6111 loss_cls: 0.0766 loss_conf3d: 0.4181 lr: 2e-05 max_mem: 5634M
[03/18 14:57:11 d2.utils.events]: eta: 0:02:17 iter: 24860 total_loss: 1.683 loss_box2d_reg: 0.1242 loss_box3d_depth: 0.2524 loss_box3d_proj_ctr: 0.06552 loss_box3d_quat: 0.06928 loss_box3d_size: 0.05658 loss_centerness: 0.6109 loss_cls: 0.07737 loss_conf3d: 0.4228 lr: 2e-05 max_mem: 5634M
[03/18 14:57:29 d2.utils.events]: eta: 0:01:50 iter: 24880 total_loss: 1.688 loss_box2d_reg: 0.1246 loss_box3d_depth: 0.2587 loss_box3d_proj_ctr: 0.06533 loss_box3d_quat: 0.07063 loss_box3d_size: 0.05703 loss_centerness: 0.6115 loss_cls: 0.07686 loss_conf3d: 0.4234 lr: 2e-05 max_mem: 5634M
[03/18 14:57:49 d2.utils.events]: eta: 0:01:36 iter: 24900 total_loss: 1.648 loss_box2d_reg: 0.1199 loss_box3d_depth: 0.2518 loss_box3d_proj_ctr: 0.06313 loss_box3d_quat: 0.06074 loss_box3d_size: 0.05616 loss_centerness: 0.611 loss_cls: 0.07543 loss_conf3d: 0.4164 lr: 2e-05 max_mem: 5634M
[03/18 14:58:09 d2.utils.events]: eta: 0:01:19 iter: 24920 total_loss: 1.681 loss_box2d_reg: 0.1248 loss_box3d_depth: 0.2601 loss_box3d_proj_ctr: 0.06402 loss_box3d_quat: 0.06739 loss_box3d_size: 0.05581 loss_centerness: 0.6111 loss_cls: 0.07569 loss_conf3d: 0.4213 lr: 2e-05 max_mem: 5634M
[03/18 14:58:28 d2.utils.events]: eta: 0:00:54 iter: 24940 total_loss: 1.674 loss_box2d_reg: 0.1221 loss_box3d_depth: 0.2524 loss_box3d_proj_ctr: 0.06288 loss_box3d_quat: 0.06379 loss_box3d_size: 0.05596 loss_centerness: 0.611 loss_cls: 0.07682 loss_conf3d: 0.424 lr: 2e-05 max_mem: 5634M
[03/18 14:58:47 d2.utils.events]: eta: 0:00:37 iter: 24960 total_loss: 1.647 loss_box2d_reg: 0.1229 loss_box3d_depth: 0.2495 loss_box3d_proj_ctr: 0.06343 loss_box3d_quat: 0.06207 loss_box3d_size: 0.05515 loss_centerness: 0.611 loss_cls: 0.07694 loss_conf3d: 0.414 lr: 2e-05 max_mem: 5634M
[03/18 14:59:07 d2.utils.events]: eta: 0:00:19 iter: 24980 total_loss: 1.666 loss_box2d_reg: 0.1236 loss_box3d_depth: 0.2575 loss_box3d_proj_ctr: 0.06159 loss_box3d_quat: 0.0638 loss_box3d_size: 0.05563 loss_centerness: 0.6105 loss_cls: 0.07497 loss_conf3d: 0.4201 lr: 2e-05 max_mem: 5634M
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:59:32 fvcore.common.checkpoint]: Saving checkpoint to ./model_final.pth
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:59:32 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 14:59:32 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 14:59:33 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 14:59:33 tridet.data.build]: Using test sampler InferenceSampler
[03/18 14:59:33 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 14:59:41 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0008 s/iter. Inference: 0.3292 s/iter. Eval: 0.1822 s/iter. Total: 0.5123 s/iter. ETA=0:00:18
[03/18 14:59:46 d2.evaluation.evaluator]: Inference done 21/48. Dataloading: 0.0010 s/iter. Inference: 0.3344 s/iter. Eval: 0.1954 s/iter. Total: 0.5309 s/iter. ETA=0:00:14
[03/18 14:59:51 d2.evaluation.evaluator]: Inference done 31/48. Dataloading: 0.0011 s/iter. Inference: 0.3348 s/iter. Eval: 0.1998 s/iter. Total: 0.5358 s/iter. ETA=0:00:09
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 14:59:57 d2.evaluation.evaluator]: Inference done 41/48. Dataloading: 0.0010 s/iter. Inference: 0.3265 s/iter. Eval: 0.2037 s/iter. Total: 0.5313 s/iter. ETA=0:00:03
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 15:00:00 d2.evaluation.evaluator]: Total inference time: 0:00:22.270689 (0.517923 s / iter per device, on 8 devices)
[03/18 15:00:00 d2.evaluation.evaluator]: Total inference pure compute time: 0:00:13 (0.313007 s / iter per device, on 8 devices)
################coco_evaluation.py evaluate
[03/18 15:00:01 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 15:00:01 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/final/kitti_3d_val/coco_instances_results.json
[03/18 15:00:01 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.07s)
creating index...
index created!
[03/18 15:00:01 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 15:00:03 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 1.55 seconds.
[03/18 15:00:03 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 15:00:03 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.23 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.144
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.263
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.144
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.048
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.129
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.240
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.123
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.239
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.252
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.085
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.233
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.431
[03/18 15:00:03 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
14.404 26.281 14.417 4.820 12.895 24.016
[03/18 15:00:03 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 44.209 Pedestrian 15.636 Cyclist 2.264
Van 8.358 Truck 1.554
[03/18 15:00:20 tridet]: Running prediction visualizer: d2_visualizer
[03/18 15:00:21 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 6.31it/s][03/18 15:00:25 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:09<00:00, 2.20it/s][03/18 15:00:41 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 15:00:41 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox/AP 14.4043
kitti_3d_val/bbox/AP50 26.2812
kitti_3d_val/bbox/AP75 14.4166
kitti_3d_val/bbox/APs 4.82005
kitti_3d_val/bbox/APm 12.8953
kitti_3d_val/bbox/APl 24.0158
kitti_3d_val/bbox/AP-Car 44.2093
kitti_3d_val/bbox/AP-Pedestrian 15.6364
kitti_3d_val/bbox/AP-Cyclist 2.26388
kitti_3d_val/bbox/AP-Van 8.35803
kitti_3d_val/bbox/AP-Truck 1.55406
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5 24.564
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7 3.8754
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5 17.4601
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7 2.45026
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5 15.6712
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7 2.07096
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5 1.74896
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5 1.26664
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5 0.969102
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5 0.0262812
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5 4.07381
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7 0.252809
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5 1.63356
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5 0.836854
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5 1.60681
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5 0.286976
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5 0.297357
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5 30.7633
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7 7.92879
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5 21.7931
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7 5.04727
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5 19.772
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7 4.5898
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5 2.73631
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5 2.0859
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5 1.66571
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5 0.0394737
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5 4.56697
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7 0.947368
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5 2.29256
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7 0.276626
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5 1.20432
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7 0.0616497
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5 1.81023
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5 0.25246
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5 0.293454
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7 0

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azuryl commented Mar 20, 2023

[03/18 15:00:41 tridet]: Starting inference with test-time augmentation.
[03/18 15:00:41 tridet.data.dataset_mappers.dataset_mapper]: Augmentations used in training: [ResizeShortestEdge(short_edge_length=(384, 384), max_size=100000, sample_style='choice')]
[03/18 15:00:41 d2.data.common]: Serializing 3769 elements to byte tensors and concatenating them all ...
[03/18 15:00:41 d2.data.common]: Serialized dataset takes 13.38 MiB
[03/18 15:00:41 tridet.data.build]: Using test sampler InferenceSampler
[03/18 15:00:41 d2.evaluation.evaluator]: Start inference on 48 batches

[03/18 15:00:50 d2.evaluation.evaluator]: Inference done 1/48. Dataloading: 1.1408 s/iter. Inference: 6.7434 s/iter. Eval: 0.5676 s/iter. Total: 8.4560 s/iter. ETA=0:06:37
[03/18 15:00:57 d2.evaluation.evaluator]: Inference done 2/48. Dataloading: 0.5712 s/iter. Inference: 6.4389 s/iter. Eval: 0.5205 s/iter. Total: 7.5332 s/iter. ETA=0:05:46
[03/18 15:01:03 d2.evaluation.evaluator]: Inference done 3/48. Dataloading: 0.3812 s/iter. Inference: 6.3492 s/iter. Eval: 0.4843 s/iter. Total: 7.2165 s/iter. ETA=0:05:24
[03/18 15:01:10 d2.evaluation.evaluator]: Inference done 4/48. Dataloading: 0.2861 s/iter. Inference: 6.3154 s/iter. Eval: 0.5085 s/iter. Total: 7.1115 s/iter. ETA=0:05:12
[03/18 15:01:17 d2.evaluation.evaluator]: Inference done 5/48. Dataloading: 0.2291 s/iter. Inference: 6.3088 s/iter. Eval: 0.5439 s/iter. Total: 7.0830 s/iter. ETA=0:05:04
[03/18 15:01:24 d2.evaluation.evaluator]: Inference done 6/48. Dataloading: 0.0000 s/iter. Inference: 6.1767 s/iter. Eval: 0.6430 s/iter. Total: 6.8196 s/iter. ETA=0:04:46
[03/18 15:01:31 d2.evaluation.evaluator]: Inference done 7/48. Dataloading: 0.0006 s/iter. Inference: 6.2078 s/iter. Eval: 0.6395 s/iter. Total: 6.8482 s/iter. ETA=0:04:40
[03/18 15:01:38 d2.evaluation.evaluator]: Inference done 8/48. Dataloading: 0.0007 s/iter. Inference: 6.2202 s/iter. Eval: 0.6654 s/iter. Total: 6.8867 s/iter. ETA=0:04:35
[03/18 15:01:44 d2.evaluation.evaluator]: Inference done 9/48. Dataloading: 0.0008 s/iter. Inference: 6.2104 s/iter. Eval: 0.6340 s/iter. Total: 6.8454 s/iter. ETA=0:04:26
[03/18 15:01:51 d2.evaluation.evaluator]: Inference done 10/48. Dataloading: 0.0009 s/iter. Inference: 6.2408 s/iter. Eval: 0.6618 s/iter. Total: 6.9037 s/iter. ETA=0:04:22
[03/18 15:01:58 d2.evaluation.evaluator]: Inference done 11/48. Dataloading: 0.0009 s/iter. Inference: 6.2286 s/iter. Eval: 0.6325 s/iter. Total: 6.8622 s/iter. ETA=0:04:13
[03/18 15:02:06 d2.evaluation.evaluator]: Inference done 12/48. Dataloading: 0.0009 s/iter. Inference: 6.3154 s/iter. Eval: 0.6381 s/iter. Total: 6.9547 s/iter. ETA=0:04:10
[03/18 15:02:12 d2.evaluation.evaluator]: Inference done 13/48. Dataloading: 0.0009 s/iter. Inference: 6.2906 s/iter. Eval: 0.6232 s/iter. Total: 6.9150 s/iter. ETA=0:04:02
[03/18 15:02:19 d2.evaluation.evaluator]: Inference done 14/48. Dataloading: 0.0009 s/iter. Inference: 6.2871 s/iter. Eval: 0.6162 s/iter. Total: 6.9045 s/iter. ETA=0:03:54
[03/18 15:02:26 d2.evaluation.evaluator]: Inference done 15/48. Dataloading: 0.0009 s/iter. Inference: 6.2785 s/iter. Eval: 0.6076 s/iter. Total: 6.8873 s/iter. ETA=0:03:47
[03/18 15:02:33 d2.evaluation.evaluator]: Inference done 16/48. Dataloading: 0.0009 s/iter. Inference: 6.2808 s/iter. Eval: 0.6156 s/iter. Total: 6.8977 s/iter. ETA=0:03:40
[03/18 15:02:40 d2.evaluation.evaluator]: Inference done 17/48. Dataloading: 0.0010 s/iter. Inference: 6.2794 s/iter. Eval: 0.6207 s/iter. Total: 6.9014 s/iter. ETA=0:03:33
[03/18 15:02:47 d2.evaluation.evaluator]: Inference done 18/48. Dataloading: 0.0010 s/iter. Inference: 6.2730 s/iter. Eval: 0.6235 s/iter. Total: 6.8977 s/iter. ETA=0:03:26
[03/18 15:02:53 d2.evaluation.evaluator]: Inference done 19/48. Dataloading: 0.0010 s/iter. Inference: 6.2713 s/iter. Eval: 0.6232 s/iter. Total: 6.8957 s/iter. ETA=0:03:19
[03/18 15:03:00 d2.evaluation.evaluator]: Inference done 20/48. Dataloading: 0.0010 s/iter. Inference: 6.2691 s/iter. Eval: 0.6229 s/iter. Total: 6.8933 s/iter. ETA=0:03:13
[03/18 15:03:07 d2.evaluation.evaluator]: Inference done 21/48. Dataloading: 0.0010 s/iter. Inference: 6.2655 s/iter. Eval: 0.6166 s/iter. Total: 6.8833 s/iter. ETA=0:03:05
[03/18 15:03:14 d2.evaluation.evaluator]: Inference done 22/48. Dataloading: 0.0010 s/iter. Inference: 6.2692 s/iter. Eval: 0.6176 s/iter. Total: 6.8881 s/iter. ETA=0:02:59
[03/18 15:03:21 d2.evaluation.evaluator]: Inference done 23/48. Dataloading: 0.0010 s/iter. Inference: 6.2624 s/iter. Eval: 0.6068 s/iter. Total: 6.8705 s/iter. ETA=0:02:51
[03/18 15:03:28 d2.evaluation.evaluator]: Inference done 24/48. Dataloading: 0.0010 s/iter. Inference: 6.2602 s/iter. Eval: 0.6163 s/iter. Total: 6.8779 s/iter. ETA=0:02:45
[03/18 15:03:34 d2.evaluation.evaluator]: Inference done 25/48. Dataloading: 0.0010 s/iter. Inference: 6.2578 s/iter. Eval: 0.6118 s/iter. Total: 6.8709 s/iter. ETA=0:02:38
[03/18 15:03:41 d2.evaluation.evaluator]: Inference done 26/48. Dataloading: 0.0010 s/iter. Inference: 6.2498 s/iter. Eval: 0.6051 s/iter. Total: 6.8563 s/iter. ETA=0:02:30
[03/18 15:03:48 d2.evaluation.evaluator]: Inference done 27/48. Dataloading: 0.0010 s/iter. Inference: 6.2492 s/iter. Eval: 0.6090 s/iter. Total: 6.8596 s/iter. ETA=0:02:24
[03/18 15:03:55 d2.evaluation.evaluator]: Inference done 28/48. Dataloading: 0.0010 s/iter. Inference: 6.2514 s/iter. Eval: 0.6056 s/iter. Total: 6.8584 s/iter. ETA=0:02:17
[03/18 15:04:01 d2.evaluation.evaluator]: Inference done 29/48. Dataloading: 0.0010 s/iter. Inference: 6.2495 s/iter. Eval: 0.6077 s/iter. Total: 6.8585 s/iter. ETA=0:02:10
[03/18 15:04:09 d2.evaluation.evaluator]: Inference done 30/48. Dataloading: 0.0010 s/iter. Inference: 6.2493 s/iter. Eval: 0.6172 s/iter. Total: 6.8678 s/iter. ETA=0:02:03
[03/18 15:04:16 d2.evaluation.evaluator]: Inference done 31/48. Dataloading: 0.0010 s/iter. Inference: 6.2519 s/iter. Eval: 0.6227 s/iter. Total: 6.8760 s/iter. ETA=0:01:56
[03/18 15:04:23 d2.evaluation.evaluator]: Inference done 32/48. Dataloading: 0.0010 s/iter. Inference: 6.2534 s/iter. Eval: 0.6345 s/iter. Total: 6.8892 s/iter. ETA=0:01:50
[03/18 15:04:29 d2.evaluation.evaluator]: Inference done 33/48. Dataloading: 0.0011 s/iter. Inference: 6.2504 s/iter. Eval: 0.6276 s/iter. Total: 6.8794 s/iter. ETA=0:01:43
[03/18 15:04:36 d2.evaluation.evaluator]: Inference done 34/48. Dataloading: 0.0011 s/iter. Inference: 6.2496 s/iter. Eval: 0.6266 s/iter. Total: 6.8776 s/iter. ETA=0:01:36
[03/18 15:04:43 d2.evaluation.evaluator]: Inference done 35/48. Dataloading: 0.0011 s/iter. Inference: 6.2497 s/iter. Eval: 0.6348 s/iter. Total: 6.8858 s/iter. ETA=0:01:29
[03/18 15:04:50 d2.evaluation.evaluator]: Inference done 36/48. Dataloading: 0.0011 s/iter. Inference: 6.2489 s/iter. Eval: 0.6382 s/iter. Total: 6.8885 s/iter. ETA=0:01:22
[03/18 15:04:58 d2.evaluation.evaluator]: Inference done 37/48. Dataloading: 0.0011 s/iter. Inference: 6.2522 s/iter. Eval: 0.6473 s/iter. Total: 6.9009 s/iter. ETA=0:01:15
[03/18 15:05:05 d2.evaluation.evaluator]: Inference done 38/48. Dataloading: 0.0011 s/iter. Inference: 6.2574 s/iter. Eval: 0.6526 s/iter. Total: 6.9114 s/iter. ETA=0:01:09
[03/18 15:05:12 d2.evaluation.evaluator]: Inference done 39/48. Dataloading: 0.0011 s/iter. Inference: 6.2536 s/iter. Eval: 0.6484 s/iter. Total: 6.9034 s/iter. ETA=0:01:02
[03/18 15:05:18 d2.evaluation.evaluator]: Inference done 40/48. Dataloading: 0.0011 s/iter. Inference: 6.2477 s/iter. Eval: 0.6450 s/iter. Total: 6.8941 s/iter. ETA=0:00:55
[03/18 15:05:25 d2.evaluation.evaluator]: Inference done 41/48. Dataloading: 0.0011 s/iter. Inference: 6.2464 s/iter. Eval: 0.6528 s/iter. Total: 6.9006 s/iter. ETA=0:00:48
[03/18 15:05:32 d2.evaluation.evaluator]: Inference done 42/48. Dataloading: 0.0011 s/iter. Inference: 6.2413 s/iter. Eval: 0.6513 s/iter. Total: 6.8940 s/iter. ETA=0:00:41
[03/18 15:05:39 d2.evaluation.evaluator]: Inference done 43/48. Dataloading: 0.0011 s/iter. Inference: 6.2378 s/iter. Eval: 0.6553 s/iter. Total: 6.8945 s/iter. ETA=0:00:34
[03/18 15:05:45 d2.evaluation.evaluator]: Inference done 44/48. Dataloading: 0.0011 s/iter. Inference: 6.2322 s/iter. Eval: 0.6512 s/iter. Total: 6.8848 s/iter. ETA=0:00:27
[03/18 15:05:52 d2.evaluation.evaluator]: Inference done 45/48. Dataloading: 0.0011 s/iter. Inference: 6.2285 s/iter. Eval: 0.6557 s/iter. Total: 6.8855 s/iter. ETA=0:00:20
[03/18 15:05:59 d2.evaluation.evaluator]: Inference done 46/48. Dataloading: 0.0011 s/iter. Inference: 6.2243 s/iter. Eval: 0.6582 s/iter. Total: 6.8838 s/iter. ETA=0:00:13
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 15:06:06 d2.evaluation.evaluator]: Inference done 47/48. Dataloading: 0.0011 s/iter. Inference: 6.2336 s/iter. Eval: 0.6567 s/iter. Total: 6.8916 s/iter. ETA=0:00:06
[03/18 15:06:08 d2.evaluation.evaluator]: Total inference time: 0:04:51.451587 (6.777944 s / iter per device, on 8 devices)
[03/18 15:06:08 d2.evaluation.evaluator]: Total inference pure compute time: 0:04:23 (6.118335 s / iter per device, on 8 devices)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
################coco_evaluation.py evaluate
[03/18 15:06:17 d2.evaluation.coco_evaluation]: @@@@@@@@@@@@@@@@@###############Preparing results for COCO format ...
[03/18 15:06:17 d2.evaluation.coco_evaluation]: Saving results to /home/azuryl/dd3d_test/omni/dd3d/outputs/2023-03-18/08-05-55/inference/final-tta/kitti_3d_val/coco_instances_results.json
[03/18 15:06:18 d2.evaluation.coco_evaluation]: Evaluating predictions with unofficial COCO API...
Loading and preparing results...
DONE (t=0.77s)
creating index...
index created!
[03/18 15:06:19 d2.evaluation.fast_eval_api]: Evaluate annotation type bbox
[03/18 15:06:21 d2.evaluation.fast_eval_api]: COCOeval_opt.evaluate() finished in 2.15 seconds.
[03/18 15:06:21 d2.evaluation.fast_eval_api]: Accumulating evaluation results...
[03/18 15:06:22 d2.evaluation.fast_eval_api]: COCOeval_opt.accumulate() finished in 0.62 seconds.
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.172
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.307
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.179
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.076
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.167
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.266
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.164
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.336
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.375
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.195
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.367
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.546
[03/18 15:06:22 d2.evaluation.coco_evaluation]: Evaluation results for bbox:

AP AP50 AP75 APs APm APl
17.225 30.726 17.871 7.595 16.694 26.641
[03/18 15:06:22 d2.evaluation.coco_evaluation]: Per-category bbox AP:
category AP category AP category AP
:----------- :------- :----------- :------- :----------- :------
Car 50.084 Pedestrian 18.099 Cyclist 4.112
Van 10.517 Truck 3.312
[03/18 15:07:00 tridet]: Running prediction visualizer: d2_visualizer
[03/18 15:07:02 tridet.visualizers.d2_visualizer]: Found 2D detection predictions (bbox2d and/or mask2d) for 3769 images.
100% ██████████ 20/20 [00:03<00:00, 5.63it/s][03/18 15:07:05 tridet]: Running prediction visualizer: box3d_visualizer

100%|██████████| 20/20 [00:10<00:00, 1.86it/s][03/18 15:07:25 tridet]: Evaluation results for kitti_3d_val in csv format:
[03/18 15:07:25 tridet.utils.train]: Test results:

metric value
kitti_3d_val/bbox-tta/AP 17.2249
kitti_3d_val/bbox-tta/AP50 30.7263
kitti_3d_val/bbox-tta/AP75 17.8707
kitti_3d_val/bbox-tta/APs 7.59526
kitti_3d_val/bbox-tta/APm 16.6935
kitti_3d_val/bbox-tta/APl 26.6411
kitti_3d_val/bbox-tta/AP-Car 50.0839
kitti_3d_val/bbox-tta/AP-Pedestrian 18.0991
kitti_3d_val/bbox-tta/AP-Cyclist 4.11227
kitti_3d_val/bbox-tta/AP-Van 10.5174
kitti_3d_val/bbox-tta/AP-Truck 3.31213
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.5-tta 32.5966
kitti_3d_val/kitti_box3d_r40/Car_Easy_0.7-tta 6.55245
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.5-tta 23.2313
kitti_3d_val/kitti_box3d_r40/Car_Moderate_0.7-tta 3.84599
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.5-tta 20.8708
kitti_3d_val/kitti_box3d_r40/Car_Hard_0.7-tta 3.47985
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.5-tta 2.81573
kitti_3d_val/kitti_box3d_r40/Pedestrian_Easy_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.5-tta 1.95859
kitti_3d_val/kitti_box3d_r40/Pedestrian_Moderate_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.5-tta 1.65996
kitti_3d_val/kitti_box3d_r40/Pedestrian_Hard_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.5-tta 0.0399796
kitti_3d_val/kitti_box3d_r40/Cyclist_Easy_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.5-tta 0.0341746
kitti_3d_val/kitti_box3d_r40/Cyclist_Moderate_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.5-tta 0.0335502
kitti_3d_val/kitti_box3d_r40/Cyclist_Hard_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.5-tta 3.28712
kitti_3d_val/kitti_box3d_r40/Van_Easy_0.7-tta 0.0566793
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.5-tta 1.66824
kitti_3d_val/kitti_box3d_r40/Van_Moderate_0.7-tta 0.0429293
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.5-tta 0.946116
kitti_3d_val/kitti_box3d_r40/Van_Hard_0.7-tta 0.0223973
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.5-tta 2.44125
kitti_3d_val/kitti_box3d_r40/Truck_Easy_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.5-tta 0.313589
kitti_3d_val/kitti_box3d_r40/Truck_Moderate_0.7-tta 0
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.5-tta 0.371229
kitti_3d_val/kitti_box3d_r40/Truck_Hard_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Car_Easy_0.5-tta 39.4045
kitti_3d_val/kitti_bev_r40/Car_Easy_0.7-tta 11.5814
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.5-tta 28.7545
kitti_3d_val/kitti_bev_r40/Car_Moderate_0.7-tta 7.8706
kitti_3d_val/kitti_bev_r40/Car_Hard_0.5-tta 25.8732
kitti_3d_val/kitti_bev_r40/Car_Hard_0.7-tta 6.49405
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.5-tta 4.37122
kitti_3d_val/kitti_bev_r40/Pedestrian_Easy_0.7-tta 0.00330542
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.5-tta 3.09819
kitti_3d_val/kitti_bev_r40/Pedestrian_Moderate_0.7-tta 0.0042767
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.5-tta 2.57553
kitti_3d_val/kitti_bev_r40/Pedestrian_Hard_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.5-tta 0.0587493
kitti_3d_val/kitti_bev_r40/Cyclist_Easy_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.5-tta 0.0420017
kitti_3d_val/kitti_bev_r40/Cyclist_Moderate_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.5-tta 0.0441231
kitti_3d_val/kitti_bev_r40/Cyclist_Hard_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Van_Easy_0.5-tta 6.61294
kitti_3d_val/kitti_bev_r40/Van_Easy_0.7-tta 0.53189
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.5-tta 3.06731
kitti_3d_val/kitti_bev_r40/Van_Moderate_0.7-tta 0.440662
kitti_3d_val/kitti_bev_r40/Van_Hard_0.5-tta 1.84288
kitti_3d_val/kitti_bev_r40/Van_Hard_0.7-tta 0.207291
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.5-tta 3.73421
kitti_3d_val/kitti_bev_r40/Truck_Easy_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.5-tta 0.649898
kitti_3d_val/kitti_bev_r40/Truck_Moderate_0.7-tta 0
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.5-tta 0.539155
kitti_3d_val/kitti_bev_r40/Truck_Hard_0.7-tta 0
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
/home/azuryl/dd3d_test/omni/dd3d/scripts/tridet/structures/boxes3d.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /opt/conda/conda-bld/pytorch_1640811805959/work/torch/csrc/utils/tensor_new.cpp:201.)
quats = torch.as_tensor(quats, dtype=torch.float32, device=device)
[03/18 15:07:25 tridet]: DONE.

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