--- a
+++ b/datasets/OUMVLP/oumvlp17.py
@@ -0,0 +1,85 @@
+import pickle
+from tqdm import tqdm
+from pathlib import Path
+import os
+import os.path as osp
+import argparse
+import logging
+
+'''
+    gernerate the 17 Number of Pose Points Format from 18 Number of Pose Points
+    OUMVLP 17
+               # keypoints = {
+            #     0: "nose",
+            #     1: "left_eye",
+            #     2: "right_eye",
+            #     3: "left_ear",
+            #     4: "right_ear",
+            #     5: "left_shoulder",
+            #     6: "right_shoulder",
+            #     7: "left_elbow",
+            #     8: "right_elbow",
+            #     9: "left_wrist",
+            #     10: "right_wrist",
+            #     11: "left_hip",
+            #     12: "right_hip",
+            #     13: "left_knee",
+            #     14: "right_knee",
+            #     15: "left_ankle",
+            #     16: "right_ankle"
+            # }
+    OUMVLP 18
+    mask=[0,15,14,17,16,5,2,6,3,7,4,11,8,12,9,13,10]
+           # keypoints = {
+            #     0: "nose",  
+            #     1: "neck",
+            #     2: "Rshoulder",
+            #     3: "Relbow",
+            #     4: "Rwrist",
+            #     5: "Lshoudler",
+            #     6: "Lelbow",
+            #     7: "Lwrist",
+            #     8: "Rhip",
+            #     9: "Rknee",
+            #     10: "Rankle",
+            #     11: "Lhip",
+            #     12: "Lknee",
+            #     13: "Lankle",
+            #     14: "Reye",
+            #     15: "Leye",
+            #     16: "Rear",
+            #     17: "Lear"
+            # }
+'''
+
+def ToOUMVLP17(input_path: Path, output_path: Path):
+    mask=[0,15,14,17,16,5,2,6,3,7,4,11,8,12,9,13,10]
+    TOTAL_SUBJECTS = 10307
+    progress = tqdm(total=TOTAL_SUBJECTS)
+
+    for subject in input_path.iterdir():
+        output_subject = subject.name
+        for seq in subject.iterdir():
+            output_seq = seq.name
+            for view in seq.iterdir():
+                src = os.path.join(view, f"{view.name}.pkl")
+                dst = os.path.join(output_path, output_subject, output_seq, view.name)
+                os.makedirs(dst, exist_ok=True)
+                with open(src,'rb') as f:
+                    srcdata = pickle.load(f)
+                    #[T,18,3]
+                data = srcdata[...,mask,:].copy()
+                # #[T,17,3]
+                pkl_path = os.path.join(dst,f'{view.name}.pkl')
+                pickle.dump(data,open(pkl_path,'wb')) 
+        progress.update(1)
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='OpenGait dataset pretreatment module.')
+    parser.add_argument('-i', '--input_path', default='', type=str, help='Root path of raw dataset.')
+    parser.add_argument('-o', '--output_path', default='', type=str, help='Output path of pickled dataset.')
+    parser.add_argument('-l', '--log_to_file', default='./pretreatment.log', type=str, help='Log file path. Default: ./pretreatment.log')
+    args = parser.parse_args()
+    logging.info('Begin')
+    ToOUMVLP17(input_path=Path(args.input_path), output_path=Path(args.output_path))
+    logging.info('Done')