Update utils_mask.py

utils_mask.py

@@ -62,53 +62,58 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
     else:
         raise ValueError("model_type must be 'hd' or 'dc'!")
 
-    parse_head = (parse_array == 1).astype(np.float32) + \
-                 (parse_array == 3).astype(np.float32) + \
-                 (parse_array == 11).astype(np.float32)
+    parse_head = (parse_array == label_map["head"]).astype(np.float32) + \
+                 (parse_array == label_map["hat"]).astype(np.float32) + \
+                 (parse_array == label_map["hair"]).astype(np.float32) + \
+                 (parse_array == label_map["sunglasses"]).astype(np.float32)
 
     parser_mask_fixed = (parse_array == label_map["left_shoe"]).astype(np.float32) + \
                         (parse_array == label_map["right_shoe"]).astype(np.float32) + \
-                        (parse_array == label_map["hat"]).astype(np.float32) + \
-                        (parse_array == label_map["sunglasses"]).astype(np.float32) + \
-                        (parse_array == label_map["bag"]).astype(np.float32)
+                        (parse_array == label_map["bag"]).astype(np.float32) + \
+                        (parse_array == label_map["scarf"]).astype(np.float32)
 
     parser_mask_changeable = (parse_array == label_map["background"]).astype(np.float32)
 
-    arms_left = (parse_array == 14).astype(np.float32)
-    arms_right = (parse_array == 15).astype(np.float32)
+    arms_left = (parse_array == label_map["left_arm"]).astype(np.float32)
+    arms_right = (parse_array == label_map["right_arm"]).astype(np.float32)
 
     if category == 'dresses':
-        parse_mask_upper = (parse_array == 4).astype(np.float32) + (parse_array == 7).astype(np.float32)
-        parse_mask_lower = (parse_array == 6).astype(np.float32) + \
-                        (parse_array == 12).astype(np.float32) + \
-                        (parse_array == 13).astype(np.float32) + \
-                        (parse_array == 5).astype(np.float32)
+        parse_mask_upper = (parse_array == label_map["upper_clothes"]).astype(np.float32) + \
+                           (parse_array == label_map["dress"]).astype(np.float32)
+
+        parse_mask_lower = (parse_array == label_map["skirt"]).astype(np.float32) + \
+                           (parse_array == label_map["pants"]).astype(np.float32) + \
+                           (parse_array == label_map["left_leg"]).astype(np.float32) + \
+                           (parse_array == label_map["right_leg"]).astype(np.float32)
 
         # Fill gaps between the legs
         parse_mask_legs = (parse_array == label_map["left_leg"]).astype(np.float32) + \
-                        (parse_array == label_map["right_leg"]).astype(np.float32)
+                          (parse_array == label_map["right_leg"]).astype(np.float32)
         parse_mask_legs_dilated = cv2.dilate(parse_mask_legs.astype(np.uint8), np.ones((5, 5), np.uint8), iterations=6)
         parse_mask_lower = np.maximum(parse_mask_lower, parse_mask_legs_dilated)
 
         # Combine upper and filled lower body masks
         parse_mask = np.logical_or(parse_mask_upper, parse_mask_lower)
 
-        
-
     elif category == 'upper_body':
-        parse_mask = (parse_array == 4).astype(np.float32) + (parse_array == 7).astype(np.float32)
+        parse_mask = (parse_array == label_map["upper_clothes"]).astype(np.float32)
+
         parser_mask_changeable += np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
+
     elif category == 'lower_body':
-        parse_mask = (parse_array == 6).astype(np.float32) + \
-                     (parse_array == 12).astype(np.float32) + \
-                     (parse_array == 13).astype(np.float32) + \
-                     (parse_array == 5).astype(np.float32)
+        parse_mask = (parse_array == label_map["pants"]).astype(np.float32) + \
+                     (parse_array == label_map["skirt"]).astype(np.float32) + \
+                     (parse_array == label_map["left_leg"]).astype(np.float32) + \
+                     (parse_array == label_map["right_leg"]).astype(np.float32)
+
         parser_mask_fixed += (parse_array == label_map["upper_clothes"]).astype(np.float32) + \
-                             (parse_array == 14).astype(np.float32) + \
-                             (parse_array == 15).astype(np.float32)
+                             (parse_array == label_map["left_arm"]).astype(np.float32) + \
+                             (parse_array == label_map["right_arm"]).astype(np.float32)
+
         parser_mask_changeable += np.logical_and(parse_array, np.logical_not(parser_mask_fixed))
+
     else:
-        raise NotImplementedError
+        raise NotImplementedError("Category not implemented")
 
     # Load pose points
     pose_data = keypoint["pose_keypoints_2d"]
@@ -119,6 +124,7 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
     im_arms_right = Image.new('L', (width, height))
     arms_draw_left = ImageDraw.Draw(im_arms_left)
     arms_draw_right = ImageDraw.Draw(im_arms_right)
+
     if category == 'dresses' or category == 'upper_body':
         shoulder_right = np.multiply(tuple(pose_data[2][:2]), height / 512.0)
         shoulder_left = np.multiply(tuple(pose_data[5][:2]), height / 512.0)
@@ -150,7 +156,9 @@ def get_mask_location(model_type, category, model_parse: Image.Image, keypoint:
         parser_mask_fixed += hands_left + hands_right
 
     parser_mask_fixed = np.logical_or(parser_mask_fixed, parse_head)
-    parse_mask = cv2.dilate(parse_mask, np.ones((5, 5), np.uint16), iterations=5)
+    parse_mask = cv2.dilate(parse_mask.astype(np.uint8), np.ones((5, 5), np.uint8), iterations=5)
+
+
     if category == 'dresses' or category == 'upper_body':
         neck_mask = (parse_array == 18).astype(np.float32)
         neck_mask = cv2.dilate(neck_mask, np.ones((5, 5), np.uint16), iterations=1)