--- a +++ b/datasets/OUMVLP/README.md @@ -0,0 +1,79 @@ +# 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) + ...... + ...... + ```