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3D Pose Estimation and Mesh Recovery Datasets


Human3.6M & coco_smpl & muco & up3d & mpii & 3dpw

  1. We follow the downloading pre-processing steps of MeshTransformer to download and pre-process the datasets, including human3.6m, coco_smpl, muco, up3d, mpii, 3dpw.

    The datasets directory structure should follow the below hierarchy.

    - datasets
        - human3.6m
            - train.img.tsv
            - train.hw.tsv
            - train.linelist.tsv    
            - smpl/train.label.smpl.p1.tsv
            - smpl/train.linelist.smpl.p1.tsv
            - valid.protocol2.yaml
            - valid_protocol2/valid.img.tsv 
            - valid_protocol2/valid.hw.tsv  
            - valid_protocol2/valid.label.tsv
            - valid_protocol2/valid.linelist.tsv
        - coco_smpl  
            - train.img.tsv  
            - train.hw.tsv   
            - smpl/train.label.tsv
            - smpl/train.linelist.tsv
        - muco  
            - train.img.tsv  
            - train.hw.tsv   
            - train.label.tsv
            - train.linelist.tsv
        - up3d  
            - train.img.tsv  
            - train.hw.tsv   
            - train.label.tsv
            - train.linelist.tsv
        - mpii
            - train.img.tsv
            - train.hw.tsv
            - train.label.tsv
            - train.linelist.tsv
        - 3dpw
            - train.img.tsv
            - train.hw.tsv
            - train.label.tsv
            - train.linelist.tsv
            - test.yaml
            - test.img.tsv
            - test.hw.tsv
            - test.label.tsv
            - test.linelist.tsv
    
  2. Transfer .tsv format datasets to the standard format. We provide the python script to transfer .tsv format datasets to the standard format. The example of using our transfer script is as follow:

    python tsv_to_standard.py <img_file> <label_file> <hw_file> <image_dir> <pkl_file>
    

GTA_Human

  1. Please download the GTA_Human dataset from here.

  2. Transfer annotations to the standard format. We provide the python script to transfer annotations to the standard format. The example of using our transfer script is as follow:

    python process_gta_npz.py <npz_file> <anno_dir> <output_dir>