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DATASETS.md

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Dataset setup

Human3.6M

The code for Human3.6M data preparation is borrowed from VideoPose3D, SemGCN, EvoSkeleton.

Prepare the ground truth 2D 3D data pair for Human3.6

  • Setup from original source (recommended)

    • Please follow the instruction from VideoPose3D to process the data from the official Human3.6M website.
    • Then generate the 2D and 3D data by prepare_data_h36m.py. (Note that prepare_data_h36m.py is borrowed from SemGCN with 16 joints configuration, which is slightly different from VideoPose3D with 17 joints configuration)

  • Setup from preprocessed dataset

    • Get preprocessed h36m.zip: Please follow the instruction from SemGCN to get the h36m.zip.
    • Convert h36m.zip to ground-truth 2D 3D npz file: Process h36m.zip by prepare_data_h36m.py to get data_3d_h36m.npz and data_2d_h36m_gt.npz
cd data
python prepare_data_h36m.py --from-archive h36m.zip
cd ..

After this step, you should end up with two files in the data directory: data_3d_h36m.npz for the 3D poses, and data_2d_h36m_gt.npz for the ground-truth 2D poses, which will look like:

${PoseAug}
├── data
   ├── data_3d_h36m.npz
   ├── data_2d_h36m_gt.npz

Prepare other detected 2D pose for Human3.6M (optional)

In this step, you need to download the detected 2D pose npz file and delete the Neck/Nose axis (e.g., the shape of array: nx17x2 -> nx16x2; n: number_of_frame) for every subject and action.

  • To download the Det and CPN 2D pose, please follow the instruction of VideoPose3D and download the data_2d_h36m_cpn_ft_h36m_dbb.npz and data_2d_h36m_detectron_ft_h36m.npz.
cd data
wget https://dl.fbaipublicfiles.com/video-pose-3d/data_2d_h36m_cpn_ft_h36m_dbb.npz
wget https://dl.fbaipublicfiles.com/video-pose-3d/data_2d_h36m_detectron_ft_h36m.npz
cd ..

  • To download the HHR 2D pose, please follow the instruction of EvoSkeleton and download the twoDPose_HRN_test.npy and twoDPose_HRN_train.npy, and convert them to the same format as data_2d_h36m_gt.npz.

  • You can also download our pre-processed joints files.

Until here, you will have a data folder:

${PoseAug}
├── data
   ├── data_3d_h36m.npz
   ├── data_2d_h36m_gt.npz
   ├── data_2d_h36m_detectron_ft_h36m.npz
   ├── data_2d_h36m_cpn_ft_h36m_dbb.npz
   ├── data_2d_h36m_hr.npz

Please make sure the 2D data are all 16 joints setting.

3DHP

The code for 3DHP data preparation is borrowed from SPIN

  • Please follow the instruction from SPIN to download the preprocessed compression file dataset_extras.tar.gz then unzip it to get mpi_inf_3dhp_valid.npz and put it at data_extra/dataset_extras/mpi_inf_3dhp_valid.npz (24 joints).
  • Then process the dataset_extras/mpi_inf_3dhp_valid.npz with prepare_data_3dhp.py or prepare_data_3dhp.ipynb file to get the test_3dhp.npz (16 joints) and place it at data_extra/test_set.

Until here, you will have a data_extra folder:

${PoseAug}
├── data_extra
   ├── bone_length_npy
      ├── hm36s15678_bl_templates.npy
   ├── dataset_extras
      ├── mpi_inf_3dhp_valid.npz
      ├── ... (not in use)
   ├── test_set
      ├── test_3dhp.npz
   ├── prepare_data_3dhp.ipynb
   ├── prepare_data_3dhp.py

Safety

The code for safety data preparation is borrowed from prepare_data_3dhp.py

  • Contact rune2002@hyundai.com to download the preprocessed text file dataset_extras/safety_valid.txt.
  • Then process the dataset_extras/safety_valid.txt with prepare_data_safety.py file to get the test_safety.npz (16 joints) and place it at data_extra/test_set.

Until here, you will have a data_extra folder:

${PoseAug}
├── data_extra
   ├── bone_length_npy
      ├── hm36s15678_bl_templates.npy
   ├── dataset_extras
      ├── mpi_inf_3dhp_valid.npz
      ├── safety_valid.txt
      ├── ... (not in use)
   ├── test_set
      ├── test_3dhp.npz
      ├── test_safety.npz
   ├── prepare_data_3dhp.ipynb
   ├── prepare_data_3dhp.py
   ├── prepare_data_safety.py

All the data are set up.