update data.py

utils/data.py

@@ -162,20 +162,20 @@ def preprocess(
     inputs = extract_joints(source=source, keypoints_detector=keypoints_detector)
 
     T = inputs.shape[1]
-    # ori_data = inputs
-    # for t in range(T - 1):
-    #     inputs[:, t, :, :] = ori_data[:, t + 1, :, :] - ori_data[:, t, :, :]
-    # inputs[:, T - 1, :, :] = 0
+    ori_data = inputs
+    for t in range(T - 1):
+        inputs[:, t, :, :] = ori_data[:, t + 1, :, :] - ori_data[:, t, :, :]
+    inputs[:, T - 1, :, :] = 0
 
     if random_choose:
         inputs = random_sample_np(inputs, window_size)
     else:
         inputs = uniform_sample_np(inputs, window_size)
 
-    # if normalization:
-    #     assert inputs.shape[0] == 3
-    #     inputs[0, :, :, :] = inputs[0, :, :, :] - inputs[0, :, 0, 0].mean(axis=0)
-    #     inputs[1, :, :, :] = inputs[1, :, :, :] - inputs[1, :, 0, 0].mean(axis=0)
+    if normalization:
+        assert inputs.shape[0] == 3
+        inputs[0, :, :, :] = inputs[0, :, :, :] - inputs[0, :, 0, 0].mean(axis=0)
+        inputs[1, :, :, :] = inputs[1, :, :, :] - inputs[1, :, 0, 0].mean(axis=0)
 
     return np.squeeze(inputs).transpose(1, 2, 0).astype(np.float32)