diff --git a/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_dml.yml b/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_dml.yml
index f3ad966488dbc2f6f7ca12033bc4a3d35e1b3bd7..8b160f63538d51dc57b08ba83f7ebf019e3c9dbb 100644
--- a/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_dml.yml
+++ b/configs/det/ch_PP-OCRv2/ch_PP-OCRv2_det_dml.yml
@@ -65,7 +65,7 @@ Loss:
       - ["Student", "Teacher"]
       maps_name: "thrink_maps"
       weight: 1.0
-      act: "softmax"
+      # act: None
       model_name_pairs: ["Student", "Teacher"]
       key: maps
   - DistillationDBLoss:
diff --git a/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml b/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml
index e1831f26396cffde28a2ca881a0b03312a68f801..e85127a2ee37fc4a6c59066e465318792f9a0dd3 100644
--- a/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml
+++ b/configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_dml.yml
@@ -60,7 +60,7 @@ Loss:
       - ["Student", "Student2"]
       maps_name: "thrink_maps"
       weight: 1.0
-      act: "softmax"
+      # act: None
       model_name_pairs: ["Student", "Student2"]
       key: maps
   - DistillationDBLoss:
diff --git a/deploy/lite/crnn_process.cc b/deploy/lite/crnn_process.cc
index 6d5fc1504e7b1b3faa35a80662442f60d2e30499..7cd95cddb528e8571d8bab67517ae0140492c536 100644
--- a/deploy/lite/crnn_process.cc
+++ b/deploy/lite/crnn_process.cc
@@ -34,12 +34,13 @@ cv::Mat CrnnResizeImg(cv::Mat img, float wh_ratio, int rec_image_height) {
     resize_w = imgW;
   else
     resize_w = int(ceilf(imgH * ratio));
-
+  cv::Mat resize_img;
   cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f,
              cv::INTER_LINEAR);
   cv::copyMakeBorder(resize_img, resize_img, 0, 0, 0,
                      int(imgW - resize_img.cols), cv::BORDER_CONSTANT,
                      {127, 127, 127});
+  return resize_img;
 }
 
 std::vector<std::string> ReadDict(std::string path) {
diff --git a/deploy/lite/ocr_db_crnn.cc b/deploy/lite/ocr_db_crnn.cc
index cb2bf7791a4307d4e8d2167197d41d903410e0b4..fde0d07d6c1af769610865da1697e6eef0442899 100644
--- a/deploy/lite/ocr_db_crnn.cc
+++ b/deploy/lite/ocr_db_crnn.cc
@@ -474,7 +474,7 @@ void system(char **argv){
   
     std::vector<double> rec_times;
     RunRecModel(boxes, srcimg, rec_predictor, rec_text, rec_text_score,
-                charactor_dict, cls_predictor, use_direction_classify, &rec_times);
+                charactor_dict, cls_predictor, use_direction_classify, &rec_times, rec_image_height);
   
     //// visualization
     auto img_vis = Visualization(srcimg, boxes);
diff --git a/ppocr/losses/basic_loss.py b/ppocr/losses/basic_loss.py
index 2df96ea2642d10a50eb892d738f89318dc5e0f4c..74490791c2af0be54dab8ab30ac323790fcac657 100644
--- a/ppocr/losses/basic_loss.py
+++ b/ppocr/losses/basic_loss.py
@@ -57,17 +57,24 @@ class CELoss(nn.Layer):
 class KLJSLoss(object):
     def __init__(self, mode='kl'):
         assert mode in ['kl', 'js', 'KL', 'JS'
-                        ], "mode can only be one of ['kl', 'js', 'KL', 'JS']"
+                        ], "mode can only be one of ['kl', 'KL', 'js', 'JS']"
         self.mode = mode
 
     def __call__(self, p1, p2, reduction="mean"):
 
-        loss = paddle.multiply(p2, paddle.log((p2 + 1e-5) / (p1 + 1e-5) + 1e-5))
-
-        if self.mode.lower() == "js":
+        if self.mode.lower() == 'kl':
+            loss = paddle.multiply(p2, paddle.log((p2 + 1e-5) / (p1 + 1e-5) + 1e-5))
+            loss += paddle.multiply(
+                    p1, paddle.log((p1 + 1e-5) / (p2 + 1e-5) + 1e-5))
+            loss *= 0.5
+        elif self.mode.lower() == "js":
+            loss = paddle.multiply(p2, paddle.log((2*p2 + 1e-5) / (p1 + p2 + 1e-5) + 1e-5))
             loss += paddle.multiply(
-                p1, paddle.log((p1 + 1e-5) / (p2 + 1e-5) + 1e-5))
+                    p1, paddle.log((2*p1 + 1e-5) / (p1 + p2 + 1e-5) + 1e-5))
             loss *= 0.5
+        else:
+            raise ValueError("The mode.lower() if KLJSLoss should be one of ['kl', 'js']")
+            
         if reduction == "mean":
             loss = paddle.mean(loss, axis=[1, 2])
         elif reduction == "none" or reduction is None:
@@ -95,7 +102,7 @@ class DMLLoss(nn.Layer):
             self.act = None
 
         self.use_log = use_log
-        self.jskl_loss = KLJSLoss(mode="js")
+        self.jskl_loss = KLJSLoss(mode="kl")
 
     def _kldiv(self, x, target):
         eps = 1.0e-10