1、修改README.md

README.md

@@ -69,12 +69,11 @@ export PYTHONPATH=/opt/dtk/lib:$PYTHONPATH
 ```python
 # 进入ppocrv5 migraphx工程根目录
 cd <ppocrv5_migraphx> 
-
 # 进入示例程序目录
 cd Python/
-
 # 安装依赖
 pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
+
 ```
 如果测试环境是离线环境，可手动安装需要的依赖（shapely，pyclipper），依赖文件存放在3rdParty/rbuild_depend目录下
 运行示例程序：

Src/ocr_engine.cpp

@@ -11,13 +11,11 @@ T clip(const T &n, const T &lower, const T &upper){
 }
 
 template<class ForwardIterator>
-inline size_t argmax(ForwardIterator first, ForwardIterator last)
-{
+inline size_t argmax(ForwardIterator first, ForwardIterator last){
     return std::distance(first, std::max_element(first, last));
 }
 
-static float sigmoid(float x)
-{
+static float sigmoid(float x){
     return (1 / (1 + exp(-x)));
 }
 
@@ -771,8 +769,7 @@ namespace ppocr{
         
         return text;
     } 
-    std::string CTCDecode::postprocess(float* feature)
-    {
+    std::string CTCDecode::postprocess(float* feature){
         std::vector<float> probs;
         std::vector<int> indexs;
         float prob=0.;
@@ -856,8 +853,7 @@ namespace ppocr{
         );
     }
 
-    cv::Mat ppOcrEngine::visualize_text(std::vector<std::string> texts,std::vector<cv::Point> points, cv::Mat &img)
-    {
+    cv::Mat ppOcrEngine::visualize_text(std::vector<std::string> texts,std::vector<cv::Point> points, cv::Mat &img){
         assert(texts.size()==points.size()),"error texts size != points size";
         cv::Mat draw_img = cv::Mat(img.size(), CV_8UC3,cv::Scalar(255,255,255));
         int width = img.cols*2;