Files
OpenGait/datasets/OUMVLP
Qianyu Wang bb61874e90 fix python3.10 error (#84)
Signed-off-by: Qianyu Wang <patrickwangqy@outlook.com>

Signed-off-by: Qianyu Wang <patrickwangqy@outlook.com>
2022-10-19 16:31:21 +08:00
..
2022-04-12 13:44:07 +08:00
2022-10-19 16:31:21 +08:00

OUMVLP

Step1: Download URL: http://www.am.sanken.osaka-u.ac.jp/BiometricDB/GaitMVLP.html

Step2: Unzip the dataset, you will get a structure directory like:

python datasets/OUMVLP/extractor.py --input_path Path_of_OUMVLP-base --output_path Path_of_OUMVLP-raw --password Given_Password
  • Original
    OUMVLP-raw
        Silhouette_000-00 (view-sequence)
            00001 (subject)
                0001.png (frame)
                0002.png (frame)
                ......
            00002
                0001.png (frame)
                0002.png (frame)
                ......
            ......
        Silhouette_000-01
            00001
                0001.png (frame)
                0002.png (frame)
                ......
            00002
                0001.png (frame)
                0002.png (frame)
                ......
            ......
        Silhouette_015-00
            ......
        Silhouette_015-01
            ......
        ......
    

Step3 : To rearrange directory of OUMVLP dataset, turning to id-type-view structure, Run

python datasets/OUMVLP/rearrange_OUMVLP.py --input_path Path_of_OUMVLP-raw --output_path Path_of_OUMVLP-rearranged

Step4: Transforming images to pickle file, run

python datasets/pretreatment.py --input_path Path_of_OUMVLP-rearranged --output_path Path_of_OUMVLP-pkl
  • Processed
    OUMVLP-pkl
        00001 (subject)
            00 (sequence)
                000 (view)
                    000.pkl (contains all frames)
                015 (view)
                    015.pkl (contains all frames)
                ...
            01 (sequence)
                000 (view)
                    000.pkl (contains all frames)
                015 (view)
                    015.pkl (contains all frames)
                ......
        00002 (subject)
            ......
        ......