diff --git a/app/service/design_fast/pipeline/print_painting.py b/app/service/design_fast/pipeline/print_painting.py
index 10c3071..2f97474 100644
--- a/app/service/design_fast/pipeline/print_painting.py
+++ b/app/service/design_fast/pipeline/print_painting.py
@@ -17,6 +17,22 @@ class PrintPainting:
         element_print = result['print']['element']
         result['single_image'] = None
         result['print_image'] = None
+        # TODO 给result['pattern_image'] resize 到resize_scale的大小
+        # TODO 给result['mask'] resize 到resize_scale的大小
+
+        if result['resize_scale'][0] == 1.0 and result['resize_scale'][1] == 1.0:
+            pass
+        else:
+            height, width = result['pattern_image'].shape[:2]
+            new_width = int(width * result['resize_scale'][0])
+            new_height = int(height * result['resize_scale'][1])
+
+            result['pattern_image'] = cv2.resize(result['pattern_image'], (new_width, new_height))
+            result['final_image'] = cv2.resize(result['final_image'], (new_width, new_height))
+            result['mask'] = cv2.resize(result['mask'], (new_width, new_height))
+            result['gray'] = cv2.resize(result['gray'], (new_width, new_height))
+
+            print(1)
         if overall_print['print_path_list']:
             painting_dict = {'dim_image_h': result['pattern_image'].shape[0], 'dim_image_w': result['pattern_image'].shape[1]}
             result['print_image'] = result['pattern_image']
@@ -449,11 +465,8 @@ class PrintPainting:
         angle: 旋转的角度
         crop: 是否需要进行裁剪，布尔向量
         """
-        if not isinstance(crop, bool):
-            raise ValueError("The 'crop' parameter must be a boolean.")
-
         crop_image = lambda img, x0, y0, w, h: img[y0:y0 + h, x0:x0 + w]
-        h, w = img.shape[:2]
+        w, h = img.shape[:2]
         # 旋转角度的周期是360°
         angle %= 360
         # 计算仿射变换矩阵
@@ -465,7 +478,7 @@ class PrintPainting:
         if crop:
             # 裁剪角度的等效周期是180°
             angle_crop = angle % 180
-            if angle_crop > 90:
+            if angle > 90:
                 angle_crop = 180 - angle_crop
             # 转化角度为弧度
             theta = angle_crop * np.pi / 180
diff --git a/app/service/design_fast/pipeline/split.py b/app/service/design_fast/pipeline/split.py
index 344c5c5..115f814 100644
--- a/app/service/design_fast/pipeline/split.py
+++ b/app/service/design_fast/pipeline/split.py
@@ -21,11 +21,21 @@ class Split(object):
     def __call__(self, result):
         try:
 
-            if result['name'] in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms','accessories'):
-                front_mask = result['front_mask']
-                back_mask = result['back_mask']
+            if result['name'] in ('outwear', 'dress', 'blouse', 'skirt', 'trousers', 'tops', 'bottoms', 'accessories'):
+
+                if result['resize_scale'][0] == 1.0 and result['resize_scale'][1] == 1.0:
+                    front_mask = result['front_mask']
+                    back_mask = result['back_mask']
+                else:
+                    height, width = result['front_mask'].shape[:2]
+                    new_width = int(width * result['resize_scale'][0])
+                    new_height = int(height * result['resize_scale'][1])
+
+                    front_mask = cv2.resize(result['front_mask'], (new_width, new_height))
+                    back_mask = cv2.resize(result['back_mask'], (new_width, new_height))
+
                 rgba_image = rgb_to_rgba(result['final_image'], front_mask + back_mask)
-                new_size = (int(rgba_image.shape[1] * result["scale"] * result["resize_scale"][0]), int(rgba_image.shape[0] * result["scale"] * result["resize_scale"][1]))
+                new_size = (int(rgba_image.shape[1] * result["scale"]), int(rgba_image.shape[0] * result["scale"]))
                 rgba_image = cv2.resize(rgba_image, new_size)
                 result_front_image = np.zeros_like(rgba_image)
                 front_mask = cv2.resize(front_mask, new_size)