diff --git a/pdseg/data_aug.py b/pdseg/data_aug.py
index 30a6d004459bf66391acd791cc1ba4fb9721acca..474fba9a1236ee8db478a45dd5355f225c875afb 100644
--- a/pdseg/data_aug.py
+++ b/pdseg/data_aug.py
@@ -410,7 +410,7 @@ def rand_crop(crop_img, crop_seg, mode=ModelPhase.TRAIN):
                 0,
                 pad_width,
                 cv2.BORDER_CONSTANT,
-                value=cfg.MEAN)
+                value=cfg.DATASET.PADDING_VALUE)
             if crop_seg is not None:
                 crop_seg = cv2.copyMakeBorder(
                     crop_seg,
diff --git a/pdseg/reader.py b/pdseg/reader.py
index c839828cf99b89ceff62837cd6877a5659f80d06..e53b5912e07b1591d4014314f809e6997d925731 100644
--- a/pdseg/reader.py
+++ b/pdseg/reader.py
@@ -246,7 +246,7 @@ class SegDataset(object):
                     img,
                     grt,
                     rich_crop_max_rotation=cfg.AUG.RICH_CROP.MAX_ROTATION,
-                    mean_value=cfg.MEAN)
+                    mean_value=cfg.DATASET.PADDING_VALUE)
 
                 img, grt = aug.rand_scale_aspect(
                     img,
diff --git a/pdseg/train.py b/pdseg/train.py
index 295468ef14b87d8f4886fe0203d362bef3611a42..22a430f7f1bd3ff4c5c1e5ee28a624badc3cac41 100644
--- a/pdseg/train.py
+++ b/pdseg/train.py
@@ -292,7 +292,7 @@ def train(cfg):
         for var in load_vars:
             print("Parameter[{}] loaded sucessfully!".format(var.name))
         for var in load_fail_vars:
-            print("Parameter[{}] shape does not match current network, skip"
+            print("Parameter[{}] don't exist or shape does not match current network, skip"
                   " to load it.".format(var.name))
         print("{}/{} pretrained parameters loaded successfully!".format(
             len(load_vars),
diff --git a/pdseg/utils/collect.py b/pdseg/utils/collect.py
index 010a5c4bcc7bc84b9bb21cdf4f845c4ad3de3dbc..6b8f2f4eb0b4c98ce3078812f41dacafc3097bc1 100644
--- a/pdseg/utils/collect.py
+++ b/pdseg/utils/collect.py
@@ -97,6 +97,8 @@ class SegConfig(dict):
             raise KeyError(
                 'DATASET.IMAGE_TYPE config error, only support `rgb`, `gray` and `rgba`'
             )
+        if self.MEAN is not None:
+            self.DATASET.PADDING_VALUE = [x*255.0 for x in self.MEAN]
 
         if not self.TRAIN_CROP_SIZE:
             raise ValueError(
diff --git a/pdseg/utils/config.py b/pdseg/utils/config.py
index c7ffcb4c9e78ea644b2348c6fb8d5eb052110922..332a5143cfb837160be674c0ccc0bf8edc428000 100644
--- a/pdseg/utils/config.py
+++ b/pdseg/utils/config.py
@@ -65,6 +65,8 @@ cfg.DATASET.DATA_DIM = 3
 cfg.DATASET.SEPARATOR = ' '
 # 忽略的像素标签值, 默认为255，一般无需改动
 cfg.DATASET.IGNORE_INDEX = 255
+# 数据增强是图像的padding值 
+cfg.DATASET.PADDING_VALUE = [127.5,127.5,127.5]
 
 ########################### 数据增强配置 ######################################
 # 图像镜像左右翻转