diff --git a/deploy/cpp_infer/src/preprocess_op.cpp b/deploy/cpp_infer/src/preprocess_op.cpp
old mode 100644
new mode 100755
index 87d8dbbd774f7dd29843d9a2c2533368f1914272..37e33aee44167738261db4138793754aa657f22c
--- a/deploy/cpp_infer/src/preprocess_op.cpp
+++ b/deploy/cpp_infer/src/preprocess_op.cpp
@@ -77,19 +77,10 @@ void ResizeImgType0::Run(const cv::Mat &img, cv::Mat &resize_img,
 
   int resize_h = int(float(h) * ratio);
   int resize_w = int(float(w) * ratio);
-  if (resize_h % 32 == 0)
-    resize_h = resize_h;
-  else if (resize_h / 32 < 1 + 1e-5)
-    resize_h = 32;
-  else
-    resize_h = (resize_h / 32) * 32;
 
-  if (resize_w % 32 == 0)
-    resize_w = resize_w;
-  else if (resize_w / 32 < 1 + 1e-5)
-    resize_w = 32;
-  else
-    resize_w = (resize_w / 32) * 32;
+  resize_h = max(int(round(float(resize_h) / 32) * 32), 32);
+  resize_w = max(int(round(float(resize_w) / 32) * 32), 32);
+
   if (!use_tensorrt) {
     cv::resize(img, resize_img, cv::Size(resize_w, resize_h));
     ratio_h = float(resize_h) / float(h);
diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py
index 717a09ecdad9362b7ea6e556c1136f5791d2f06c..3707cb1791482bf2ac458025677db8b7ee98f2ad 100755
--- a/tools/infer/predict_det.py
+++ b/tools/infer/predict_det.py
@@ -39,7 +39,10 @@ class TextDetector(object):
         self.args = args
         self.det_algorithm = args.det_algorithm
         pre_process_list = [{
-            'DetResizeForTest': None
+            'DetResizeForTest': {
+                'limit_side_len': args.det_limit_side_len,
+                'limit_type': args.det_limit_type
+            }
         }, {
             'NormalizeImage': {
                 'std': [0.229, 0.224, 0.225],
@@ -160,7 +163,6 @@ class TextDetector(object):
         shape_list = np.expand_dims(shape_list, axis=0)
         img = img.copy()
         starttime = time.time()
-
         self.input_tensor.copy_from_cpu(img)
         self.predictor.run()
         outputs = []