This repository is for STCrowd dataset and official implement for STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes.

Our website can be download from the Homepage.

Also the dataset can be directly download from STCrowd DATA .

• PyTorch
• yaml
• mmcv
• mmdet
• mmdet3d
• mmpycocotools

The original annotation result is saved in SEQUENCE_NUM.json for each continuous sequence, for more details, we include in anno/sample.json.

Please prepare the dataset as following folder struction:

./
└── Path_To_STCrowd/
    ├──split.json
    ├──anno
        ├── 1.json
        ├── 2.json
        └── ...
    ├── left        
        ├── 1	
        |   ├── XXX.jpg
        |   ├── XXX.jpg
        │   └── ...
        ├── 2 
        ├── ...
    ├── right    
        ├── 1	
        |   ├── XXX.jpg
        |   ├── XXX.jpg
        │   └── ...
        ├── 2 
        ├── ...
    ├── pcd        
        ├── 1	
        |   ├── XXX.bin
        |   ├── XXX.bin
        │   └── ...
        ├── 2 
            ├── XXX.bin
            ├── XXX.bin
            └── ...

We provide the convert code for data converting. eg. convert for STCrowd_infos_train.pkl.

python STCrowd_conver.py --path  Path_To_STCrowd --split 'train'

All datasets are published under the Creative Commons Attribution-NonCommercial-ShareAlike. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.