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 ...... ......
  Step3-1 : To rearrange directory of OUMVLP dataset(for silhouette), 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

Step3-2 : To rearrange directory of OUMVLP dataset(for pose), turning to id-type-view structure, Run

python datasets/OUMVLP/rearrange_OUMVLP_pose.py --input_path Path_of_OUMVLP-pose --output_path Path_of_OUMVLP-pose-rearranged

Step4-1: Transforming images to pickle file, run

python datasets/pretreatment.py --input_path Path_of_OUMVLP-rearranged --output_path Path_of_OUMVLP-pkl

Step4-2: Transforming pose txts to pickle file, run

python datasets/pretreatment.py --input_path Path_of_GREW-pose-rearranged --output_path Path_of_GREW-pose-pkl --pose --dataset GREW

gernerate the 17 Number of Pose Points Format from 18 Number of Pose Points

python datasets/OUMVLP/rearrange_OUMVLP_pose.py --input_path Path_of_OUMVLP-pose18 --output_path Path_of_OUMVLP-pose17

• 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) ...... ......