diff --git a/deploy/cpp_infer/src/utility.cpp b/deploy/cpp_infer/src/utility.cpp
index 4a8b181494fca768b153e0825e8be0853f7f3aef..ea5ef1e4ac2bf622fefa2998776eab2f8d92028b 100644
--- a/deploy/cpp_infer/src/utility.cpp
+++ b/deploy/cpp_infer/src/utility.cpp
@@ -308,7 +308,7 @@ void Utility::sorted_boxes(std::vector<OCRPredictResult> &ocr_result) {
   std::sort(ocr_result.begin(), ocr_result.end(), Utility::comparison_box);
   if (ocr_result.size() > 0) {
     for (int i = 0; i < ocr_result.size() - 1; i++) {
-      for (int j = i; j > 0; j--) {
+      for (int j = i; j >= 0; j--) {
         if (abs(ocr_result[j + 1].box[0][1] - ocr_result[j].box[0][1]) < 10 &&
             (ocr_result[j + 1].box[0][0] < ocr_result[j].box[0][0])) {
           std::swap(ocr_result[i], ocr_result[i + 1]);
diff --git a/ppocr/modeling/heads/det_db_head.py b/ppocr/modeling/heads/det_db_head.py
index a686ae5ab0662ad31ddfd339bd1999c45c370cf0..77cb6f1db2dda92dbe74803af68c6ec87ed2d583 100644
--- a/ppocr/modeling/heads/det_db_head.py
+++ b/ppocr/modeling/heads/det_db_head.py
@@ -31,7 +31,7 @@ def get_bias_attr(k):
 
 
 class Head(nn.Layer):
-    def __init__(self, in_channels, name_list, kernel_list=[3, 2, 2], **kwargs):
+    def __init__(self, in_channels, kernel_list=[3, 2, 2], **kwargs):
         super(Head, self).__init__()
 
         self.conv1 = nn.Conv2D(
@@ -93,16 +93,8 @@ class DBHead(nn.Layer):
     def __init__(self, in_channels, k=50, **kwargs):
         super(DBHead, self).__init__()
         self.k = k
-        binarize_name_list = [
-            'conv2d_56', 'batch_norm_47', 'conv2d_transpose_0', 'batch_norm_48',
-            'conv2d_transpose_1', 'binarize'
-        ]
-        thresh_name_list = [
-            'conv2d_57', 'batch_norm_49', 'conv2d_transpose_2', 'batch_norm_50',
-            'conv2d_transpose_3', 'thresh'
-        ]
-        self.binarize = Head(in_channels, binarize_name_list, **kwargs)
-        self.thresh = Head(in_channels, thresh_name_list, **kwargs)
+        self.binarize = Head(in_channels, **kwargs)
+        self.thresh = Head(in_channels, **kwargs)
 
     def step_function(self, x, y):
         return paddle.reciprocal(1 + paddle.exp(-self.k * (x - y)))
diff --git a/requirements.txt b/requirements.txt
index b4f8b011ee49e288fece2f15815f68050ec92944..56f342a4e6233fc70785ddc2b3df5bf7e20cd763 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -14,4 +14,4 @@ lxml
 premailer
 openpyxl
 attrdict
-PyMuPDF<1.21.0
\ No newline at end of file
+PyMuPDF<1.21.0
diff --git a/tools/infer/predict_system.py b/tools/infer/predict_system.py
index 19e0525a2a72d9148ef31405d51e4364cec36848..1f9e2e1dc690bf6208e1d72c0ff460b95e202702 100755
--- a/tools/infer/predict_system.py
+++ b/tools/infer/predict_system.py
@@ -123,7 +123,7 @@ def sorted_boxes(dt_boxes):
     _boxes = list(sorted_boxes)
 
     for i in range(num_boxes - 1):
-        for j in range(i, 0, -1):
+        for j in range(i, -1, -1):
             if abs(_boxes[j + 1][0][1] - _boxes[j][0][1]) < 10 and \
                     (_boxes[j + 1][0][0] < _boxes[j][0][0]):
                 tmp = _boxes[j]