feat（新功能）:

fix（修复bug）:   accessories 替换为 others
docs（文档变更）:
refactor（重构）:
test(增加测试):

app/service/design_fast/utils/organize.py

@@ -58,14 +58,14 @@ def organize_clothing(layer):
     return front_layer, back_layer
 
 
-def organize_accessories(layer):
+def organize_others(layer):
     # 起始坐标
     start_point = (0, 0)
     layer['clothes_keypoint'] = {
-        'accessories_left': [0, 0]
+        'others_left': [0, 0]
     }
     layer['body_point_test'] = {
-        'accessories_left': [0, 0]
+        'others_left': [0, 0]
     }
 
     start_point = calculate_start_point(layer['keypoint'], layer['scale'], layer['clothes_keypoint'], layer['body_point_test'], layer["offset"], layer["resize_scale"])

app/service/design_fast/utils/synthesis_item.py

@@ -79,11 +79,11 @@ def synthesis(data, size, basic_info):
         _, binary_body_mask = cv2.threshold(body_mask, 127, 255, cv2.THRESH_BINARY)
         top_outer_mask = np.array(binary_body_mask)
         bottom_outer_mask = np.array(binary_body_mask)
-        accessories_outer_mask = np.array(binary_body_mask)
+        others_outer_mask = np.array(binary_body_mask)
 
         top = True
         bottom = True
-        accessories = True
+        others = True
         i = len(data)
         while i:
             i -= 1
@@ -111,7 +111,7 @@ def synthesis(data, size, basic_info):
                 background = np.zeros_like(top_outer_mask)
                 background[all_y_start:all_y_end, all_x_start:all_x_end] = sketch_mask[mask_y_start:mask_y_end, mask_x_start:mask_x_end]
                 bottom_outer_mask = background + bottom_outer_mask
-            elif accessories and data[i]['name'] in ['accessories_front']:
+            elif others and data[i]['name'] in ['others_front']:
                 mask_shape = data[i]['mask'].shape
                 y_offset, x_offset = data[i]['adaptive_position']
                 # 初始化叠加区域的起始和结束位置
@@ -121,13 +121,13 @@ def synthesis(data, size, basic_info):
                 _, sketch_mask = cv2.threshold(data[i]['mask'], 127, 255, cv2.THRESH_BINARY)
                 background = np.zeros_like(top_outer_mask)
                 background[all_y_start:all_y_end, all_x_start:all_x_end] = sketch_mask[mask_y_start:mask_y_end, mask_x_start:mask_x_end]
-                accessories_outer_mask = background + accessories_outer_mask
+                others_outer_mask = background + others_outer_mask
                 pass
             elif bottom is False and top is False:
                 break
 
         all_mask = cv2.bitwise_or(top_outer_mask, bottom_outer_mask)
-        all_mask = cv2.bitwise_or(all_mask, accessories_outer_mask)
+        all_mask = cv2.bitwise_or(all_mask, others_outer_mask)
 
         for layer in data:
             if layer['image'] is not None: