diff --git a/research/cv/FaceAttribute/preprocess.py b/research/cv/FaceAttribute/preprocess.py
index 1a2ebb578c428d96af0c619d1043f3d14913ec5a..70e2264271fc4b907a84823ae6f60db722d1ad89 100644
--- a/research/cv/FaceAttribute/preprocess.py
+++ b/research/cv/FaceAttribute/preprocess.py
@@ -28,7 +28,7 @@ def eval_data_generator(args):
     dst_h = args.dst_h
     batch_size = 1
     #attri_num = args.attri_num
-    transform_img = F2.Compose([F.Decode(True)),
+    transform_img = F2.Compose([F.Decode(True),
                                 F.Resize((dst_w, dst_h)),
                                 F.ToTensor(),
                                 F.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5), is_hwc=False)])
diff --git a/research/cv/FaceAttribute/src/dataset_train.py b/research/cv/FaceAttribute/src/dataset_train.py
index 79617bdb77873b106e46b836eab5957e4f645273..80d2cc2979d8c6a8722f99c9c59d325ffecc344e 100644
--- a/research/cv/FaceAttribute/src/dataset_train.py
+++ b/research/cv/FaceAttribute/src/dataset_train.py
@@ -28,7 +28,7 @@ def data_generator(args):
     batch_size = args.per_batch_size
     attri_num = args.attri_num
     max_epoch = args.max_epoch
-    transform_img = F2.Compose([F.Decode(True)),
+    transform_img = F2.Compose([F.Decode(True),
                                 F.Resize((dst_w, dst_h)),
                                 F.RandomHorizontalFlip(prob=0.5),
                                 F.ToTensor(),
diff --git a/research/cv/HRNetW48_cls/src/dataset.py b/research/cv/HRNetW48_cls/src/dataset.py
index 3a73f1c52d6c68a123bee8db35775e0e608aac33..27815348991545a31c7d7898bb253e62d3ab9e15 100644
--- a/research/cv/HRNetW48_cls/src/dataset.py
+++ b/research/cv/HRNetW48_cls/src/dataset.py
@@ -19,8 +19,8 @@ from mindspore import dataset as ds
 from mindspore.common import dtype as mstype
 from mindspore.communication.management import get_group_size
 from mindspore.communication.management import get_rank
-from mindspore.dataset.transforms import c_transforms as C2
-from mindspore.dataset.vision import c_transforms as C
+import mindspore.dataset.transforms as C2
+import mindspore.dataset.vision as C
 
 
 def create_imagenet(