CASIA-E

Application URL: https://www.scidb.cn/en/detail?dataSetId=57be0e918db743279baf44a38d013a06

Data processing

• Original
  test615-1014.zip train001-500.zip val501-614.zip
• Run python datasets/CASIA-E/extractor.py --input_path CASIA-E/ --output_path CASIA-E-processed/ -n 8 -s 64. \
  n is number of workers. s is the target image size.
• Processed
  ```
  CASIA-E-processed
  forTrain # raw images
  001 (subject)
  H (height)
  scene1 (scene)
  bg (walking condition)
  000 (view)
  1 (sequence number)
  xxx.jpg (images)
  ......
  ......
  ......
  ......
  ......
  ......
  ......

  opengait # pickle file
      001 (subject)
          H_scene1_bg_1 (type)
                  000 (view)
                      000.pkl (contains all frames)
                  ......
          ......
      ......
  

  ```

Setting

Compared with the settings in the original paper, we only used 200 people for training, and the rest were used as the test set, and the division of gallery and probe is more practical and difficult.
For specific experimental settings, please refer to gaitbase_casiae.yaml.
For the specific division of the probe and gallery, please refer to evaluator.py.