set cls image_shape to 3,48,192

deploy/android_demo/app/src/main/cpp/ocr_cls_process.cpp

@@ -20,7 +20,7 @@
 #include <iostream>
 #include <vector>
 
-const std::vector<int> CLS_IMAGE_SHAPE = {3, 32, 100};
+const std::vector<int> CLS_IMAGE_SHAPE = {3, 48, 192};
 
 cv::Mat cls_resize_img(const cv::Mat &img) {
   int imgC = CLS_IMAGE_SHAPE[0];

deploy/android_demo/app/src/main/cpp/ocr_ppredictor.h

@@ -98,7 +98,7 @@ private:
   * @param origin
   * @return
   */
-  cv::Mat infer_cls(const cv::Mat &origin, float thresh = 0.5);
+  cv::Mat infer_cls(const cv::Mat &origin, float thresh = 0.9);
 
   /**
    * Postprocess or sencod model to extract text

deploy/lite/cls_process.cc

@@ -17,7 +17,7 @@
 #include <memory>
 #include <string>
 
-const std::vector<int> rec_image_shape{3, 32, 100};
+const std::vector<int> rec_image_shape{3, 48, 192};
 
 cv::Mat ClsResizeImg(cv::Mat img) {
   int imgC, imgH, imgW;

deploy/lite/ocr_db_crnn.cc

@@ -107,7 +107,7 @@ cv::Mat DetResizeImg(const cv::Mat img, int max_size_len,
 }
 
 cv::Mat RunClsModel(cv::Mat img, std::shared_ptr<PaddlePredictor> predictor_cls,
-                    const float thresh = 0.5) {
+                    const float thresh = 0.9) {
   std::vector<float> mean = {0.5f, 0.5f, 0.5f};
   std::vector<float> scale = {1 / 0.5f, 1 / 0.5f, 1 / 0.5f};