diff --git a/app/service/design/items/pipelines/painting.py b/app/service/design/items/pipelines/painting.py
index c3c496d..993697c 100644
--- a/app/service/design/items/pipelines/painting.py
+++ b/app/service/design/items/pipelines/painting.py
@@ -30,7 +30,6 @@ class Painting(object):
                 resize_pattern = cv2.resize(pattern, (dim_image_w, dim_image_h), interpolation=cv2.INTER_AREA)
             closed_mo = np.expand_dims(result['mask'], axis=2).repeat(3, axis=2)
             gray_mo = np.expand_dims(result['gray'], axis=2).repeat(3, axis=2)
-            logger.info(f"image id is :{result['image_id']}")
             get_image_fir = resize_pattern * (closed_mo / 255) * (gray_mo / 255)
             result['pattern_image'] = get_image_fir.astype(np.uint8)
             result['final_image'] = result['pattern_image']
diff --git a/app/service/design/items/pipelines/segmentation.py b/app/service/design/items/pipelines/segmentation.py
index e7f09ed..c6c7b15 100644
--- a/app/service/design/items/pipelines/segmentation.py
+++ b/app/service/design/items/pipelines/segmentation.py
@@ -5,6 +5,7 @@ import cv2
 import numpy as np
 
 from app.core.config import SEG_CACHE_PATH
+from app.service.utils.decorator import ClassCallRunTime
 from app.service.utils.oss_client import oss_get_image
 from ..builder import PIPELINES
 from ...utils.design_ensemble import get_seg_result
@@ -15,7 +16,7 @@ logger = logging.getLogger()
 @PIPELINES.register_module()
 class Segmentation(object):
 
-    # @ClassCallRunTime
+    @ClassCallRunTime
     def __call__(self, result):
         if "seg_mask_url" in result.keys() and result['seg_mask_url'] != "":
             seg_mask = oss_get_image(bucket=result['seg_mask_url'].split('/')[0], object_name=result['seg_mask_url'][result['seg_mask_url'].find('/') + 1:], data_type="cv2")
@@ -59,7 +60,6 @@ class Segmentation(object):
     @staticmethod
     def load_seg_result(image_id):
         file_path = f"{SEG_CACHE_PATH}{image_id}.npy"
-        logger.info(f"load seg file name is :{SEG_CACHE_PATH}{image_id}.npy")
         try:
             seg_result = np.load(file_path)
             return True, seg_result