update dataset downloads, and add logs

microsoft · May 23, 2021 · 4349be1 · 4349be1
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diff --git a/docs/DOWNLOAD.md b/docs/DOWNLOAD.md
@@ -81,9 +81,10 @@
     To download the annotation files, please use the following command.
     ```bash
     cd $REPO_DIR
-    path/to/azcopy copy 'https://datarelease.blob.core.windows.net/metro/datasets/datasets_release/DATA_NAME' <target folder> --recursive  
+    path/to/azcopy copy 'https://datarelease.blob.core.windows.net/metro/datasets/filename.tar' /path/to/your/folder/filename.tar
+    tar xvf filename.tar  
     ```
-    `DATA_NAME` could be `Tax-H36m-coco40k-Muco-UP-Mpii`, `human3.6m`, `coco_smpl`, `muco`, `up3d`, `mpii`, `3dpw`, `freihand`. Total file size is about 200 GB. 
+    `filename.tar` could be `Tax-H36m-coco40k-Muco-UP-Mpii.tar`, `human3.6m.tar`, `coco_smpl.tar`, `muco.tar`, `up3d.tar`, `mpii.tar`, `3dpw.tar`, `freihand.tar`. Total file size is about 200 GB. 
 
     The datasets and pseudo ground truth labels are provided by [Pose2Mesh](https://github.com/hongsukchoi/Pose2Mesh_RELEASE). We only reorganize the data format to better fit our training pipeline. We suggest to download the orignal image files from the offical dataset websites.
 
@@ -154,4 +155,4 @@
     |-- ... 
     |-- ... 
 
-    ```
+    ```
diff --git a/docs/EXP.md b/docs/EXP.md
@@ -26,6 +26,8 @@ python -m torch.distributed.launch --nproc_per_node=8 \
        --hidden_feat_dim 1024,256,64 
 ```
 
+Example training log can be found here [freihand_reproduce_log.txt]('https://datarelease.blob.core.windows.net/metro/models/freihand_reproduce_log.txt')
+
 ### Testing
 
 After training, we use the final checkpoint (trained at 200 epoch) for testing.
@@ -110,6 +112,7 @@ python -m torch.distributed.launch --nproc_per_node=8 \
        --hidden_feat_dim 1024,256,128 
 ```
 
+Example training log can be found here [h36m_reproduce_log.txt]('https://datarelease.blob.core.windows.net/metro/models/h36m_reproduce_log.txt')
 
 ### Evaluation on Human3.6M
 

diff --git a/docs/INSTALL.md b/docs/INSTALL.md
@@ -33,16 +33,16 @@ pip install opendr matplotlib
 
 # Install METRO
 cd $INSTALL_DIR
-git clone --recursive git@github.com:microsoft/METRO.git
-cd METRO
+git clone --recursive https://github.com/microsoft/MeshTransformer.git
+cd MeshTransformer
 python setup.py build develop
 
 # Install requirements
 pip install -r requirements.txt
 
 # Install manopth
 cd $INSTALL_DIR
-cd METRO
+cd MeshTransformer
 pip install ./manopth/.
 
 unset INSTALL_DIR