feat 测试批量上传图片

fix

app/service/design/items/pipelines/split.py

@@ -5,6 +5,7 @@ import numpy as np
 from PIL import Image
 from cv2 import cvtColor, COLOR_BGR2RGBA
 
+from app.service.utils.decorator import ClassCallRunTime
 from app.service.utils.generate_uuid import generate_uuid
 from ..builder import PIPELINES
 from ...utils.conversion_image import rgb_to_rgba
@@ -17,6 +18,7 @@ class Split(object):
     Split image into front and back layer according to the segmentation result
     """
 
+    @ClassCallRunTime
     # KNet
     def __call__(self, result):
         try:
@@ -66,7 +68,7 @@ class Split(object):
                 # 创建中间图层
             result_pattern_image_rgba = rgb_to_rgba(result['pattern_image'], result['mask'])
             result_pattern_image_pil = Image.fromarray(cvtColor(result_pattern_image_rgba, COLOR_BGR2RGBA))
-            _, result['pattern_image_url'], _ = upload_png_mask(result_pattern_image_pil, f'{generate_uuid()}')
+            result['pattern'], result['pattern_image_url'], _ = upload_png_mask(result_pattern_image_pil, f'{generate_uuid()}')
             return result
         except Exception as e:
             logging.warning(f"split runtime exception : {e} image_id : {result['image_id']}")