diff --git a/ppocr/data/imaug/operators.py b/ppocr/data/imaug/operators.py
index ee5492de7961fbe494b6ab36f4a385312fe8b9eb..070fb7afa0b366c016edadb2b734ba5a6798743a 100644
--- a/ppocr/data/imaug/operators.py
+++ b/ppocr/data/imaug/operators.py
@@ -273,7 +273,7 @@ class DetResizeForTest(object):
     def resize_image_type1(self, img):
         resize_h, resize_w = self.image_shape
         ori_h, ori_w = img.shape[:2]  # (h, w, c)
-        if self.keep_ratio:
+        if self.keep_ratio is True:
             resize_w = ori_w * resize_h / ori_h
             N = math.ceil(resize_w / 32)
             resize_w = N * 32
diff --git a/ppocr/modeling/backbones/det_resnet_vd.py b/ppocr/modeling/backbones/det_resnet_vd.py
index 5337e14c401be51344d54e881ce98f64c2ce0e7e..a421da0ab440e9b87c1c7efc7d2448f8f76ad205 100644
--- a/ppocr/modeling/backbones/det_resnet_vd.py
+++ b/ppocr/modeling/backbones/det_resnet_vd.py
@@ -323,7 +323,6 @@ class ResNet_vd(nn.Layer):
             for block in range(len(depth)):
                 block_list = []
                 shortcut = False
-                # is_dcn = self.dcn_stage[block]
                 for i in range(depth[block]):
                     basic_block = self.add_sublayer(
                         'bb_%d_%d' % (block, i),