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.