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I have the same issue, even when using images from the DAVIS or Set8 dataset without a folder_gt argument. The same error occurs in VRT. Also tried it locally on Ubuntu 22.04.2 with the exact same error. Fixes like setting -sigma 1 or nonblind_denoising == True are not working. I'd love to try out the denoising.
I have the same issue, even when using images from the DAVIS or Set8 dataset without a folder_gt argument. The same error occurs in VRT. Also tried it locally on Ubuntu 22.04.2 with the exact same error. Fixes like setting -sigma 1 or nonblind_denoising == True are not working. I'd love to try out the denoising.
I sloved this issue from bellow answers, hope to help with you: #11
Run with bellow commod:
python main_test_rvrt.py --task 001_RVRT_videosr_bi_REDS_30frames --folder_lq testsets/your/own --tile 0 0 0 --tile_overlap 2 20 20
Error detail infomation:
File "/opt/conda/envs/env_rvrt/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 613, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/opt/conda/envs/env_rvrt/lib/python3.10/site-packages/torch/nn/modules/conv.py", line 608, in _conv_forward
return F.conv3d(
RuntimeError: Given groups=1, weight of size [192, 4, 1, 3, 3], expected input[1, 3, 38, 256, 256] to have 4 channels, but got 3 channels instead
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