diff --git a/app/service/brand_dna/service.py b/app/service/brand_dna/service.py
index 5a525c2..fd35c19 100644
--- a/app/service/brand_dna/service.py
+++ b/app/service/brand_dna/service.py
@@ -35,8 +35,8 @@ class BrandDna:
     # 获取结果
     def get_result(self):
         mask, image = self.get_seg_mask()
-        cv2.imshow("", image)
-        cv2.waitKey(0)
+        # cv2.imshow("", image)
+        # cv2.waitKey(0)
 
         height, width, channels = image.shape
         result_dict = []
@@ -50,8 +50,8 @@ class BrandDna:
                 outwear_img[mask == value] = image[mask == value]
                 outwear_mask_img[mask == value] = [0, 0, 255]
 
-                cv2.imshow("", outwear_img)
-                cv2.waitKey(0)
+                # cv2.imshow("", outwear_img)
+                # cv2.waitKey(0)
 
                 # 预处理之后的input img
                 preprocess_img = self.category_preprocess(outwear_img)
@@ -89,8 +89,8 @@ class BrandDna:
                 tops_img[mask == value] = image[mask == value]
                 tops_mask_img[mask == value] = [0, 0, 255]
 
-                cv2.imshow("", tops_img)
-                cv2.waitKey(0)
+                # cv2.imshow("", tops_img)
+                # cv2.waitKey(0)
 
                 # 预处理之后的input img
                 preprocess_img = self.category_preprocess(tops_img)
@@ -129,8 +129,8 @@ class BrandDna:
                 bottoms_img[mask == value] = image[mask == value]
                 bottoms_mask_img[mask == value] = [0, 0, 255]
 
-                cv2.imshow("", bottoms_img)
-                cv2.waitKey(0)
+                # cv2.imshow("", bottoms_img)
+                # cv2.waitKey(0)
 
                 # 预处理之后的input img
                 preprocess_img = self.category_preprocess(bottoms_img)
@@ -327,7 +327,7 @@ if __name__ == '__main__':
     #     result_url = service.get_result()
     #     print(result_url)
     request_item = BrandDnaModel(
-        image_url="aida-users/60/product_image/07cb5d5d-5022-44cc-b0d3-cc986cfebad1-2-60.png",
+        image_url="aida-results/result_00006a48-e315-11ee-b7c8-b48351119060.png",
         is_brand_dna=True
     )
     service = BrandDna(request_item)