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/design_generate.py

@@ -6,8 +6,8 @@ import requests
 from minio import Minio
 
 from app.core.config import *
-from app.service.design_fast.item import BodyItem, TopItem, BottomItem, AccessoriesItem
-from app.service.design_fast.utils.organize import organize_body, organize_clothing, organize_accessories
+from app.service.design_fast.item import BodyItem, TopItem, BottomItem, OthersItem
+from app.service.design_fast.utils.organize import organize_body, organize_clothing, organize_others
 from app.service.design_fast.utils.progress import final_progress, update_progress
 from app.service.design_fast.utils.synthesis_item import synthesis, synthesis_single, update_base_size_priority
 from app.service.utils.decorator import RunTime
@@ -30,8 +30,8 @@ def process_item(item, basic):
     elif item['type'].lower() in ['skirt', 'trousers', 'bottoms']:
         bottom_server = BottomItem(data=item, basic=basic, minio_client=minio_client)
         item_data = bottom_server.process()
-    elif item['type'].lower() in ['accessories']:
-        bottom_server = AccessoriesItem(data=item, basic=basic, minio_client=minio_client)
+    elif item['type'].lower() in ['others']:
+        bottom_server = OthersItem(data=item, basic=basic, minio_client=minio_client)
         item_data = bottom_server.process()
     else:
         raise NotImplementedError(f"Item type {item['type']} not implemented")
@@ -44,8 +44,8 @@ def process_layer(item, layers):
         body_layer = organize_body(item)
         layers.append(body_layer)
         return item['body_image'].size
-    elif item['name'] == 'accessories':
-        front_layer, back_layer = organize_accessories(item)
+    elif item['name'] == 'others':
+        front_layer, back_layer = organize_others(item)
         layers.append(front_layer)
         layers.append(back_layer)
     else:

app/service/design_fast/item.py

@@ -9,10 +9,10 @@ class BaseItem:
         self.result.update(basic)
 
 
-class AccessoriesItem(BaseItem):
+class OthersItem(BaseItem):
     def __init__(self, data, basic, minio_client):
         super().__init__(data, basic)
-        self.Accessories_pipeline = [
+        self.Others_pipeline = [
             LoadImage(minio_client),
             # KeyPoint(),
             # ContourDetection(),
@@ -26,7 +26,7 @@ class AccessoriesItem(BaseItem):
         ]
 
     def process(self):
-        for item in self.Accessories_pipeline:
+        for item in self.Others_pipeline:
             self.result = item(self.result)
         return self.result
 

app/service/design_fast/pipeline/loading.py

@@ -105,8 +105,8 @@ class LoadImage:
             keypoint = 'head_point'
         elif name == 'earring':
             keypoint = 'ear_point'
-        elif name == 'accessories':
-            keypoint = "accessories"
+        elif name == 'others':
+            keypoint = "others"
         else:
             raise KeyError(f"{name} does not belong to item category list: blouse, outwear, dress, trousers, skirt, "
                            f"bag, shoes, hairstyle, earring.")

app/service/design_fast/pipeline/scale.py

@@ -46,7 +46,7 @@ class Scaling:
             result['scale'] = result['scale_bag']
         elif result['keypoint'] == 'ear_point':
             result['scale'] = result['scale_earrings']
-        elif result['keypoint'] == 'accessories':
+        elif result['keypoint'] == 'others':
             # 由于没有识别配饰keypoint的模型  所以统一将配饰的两个关键点设定为 (0,0) (0,img.width)
             # 模特的关键点设定为(0,0) (0,320/2) 距离比例简写为 160 / img.width
             distance_clo = result['img_shape'][1]

app/service/design_fast/pipeline/split.py

@@ -20,7 +20,7 @@ class Split(object):
 
     def __call__(self, result):
         try:
-            if result['name'] in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms', 'accessories'):
+            if result['name'] in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms', 'others'):
                 ori_front_mask = result['front_mask'].copy()
                 ori_back_mask = result['back_mask'].copy()
 

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: