完善代码格式

Src/Crnn.cpp

 #include <Crnn.h>
-
 #include <migraphx/onnx.hpp>
 #include <migraphx/gpu/target.hpp>
-
 #include <Filesystem.h>
 #include <SimpleLog.h>
 
@@ -19,7 +17,7 @@ Crnn::~Crnn()
 {
 
     configurationFile.release();
-    
+
 }
 
 ErrorCode Crnn::Initialize(InitializationParameterOfOcr initializationParameterOfOcr, bool dynamic)
@@ -50,11 +48,11 @@ ErrorCode Crnn::Initialize(InitializationParameterOfOcr initializationParameterO
     }
 
     if(dynamic)
-    {   
+    {
         migraphx::onnx_options onnx_options;
         onnx_options.map_input_dims["input"]={1,1,32,512};
 
-        net = migraphx::parse_onnx(modelPath, onnx_options);     
+        net = migraphx::parse_onnx(modelPath, onnx_options);
         LOG_INFO(stdout,"succeed to load model: %s\n",GetFileName(modelPath).c_str());
 
         // 获取模型输入属性
@@ -76,7 +74,7 @@ ErrorCode Crnn::Initialize(InitializationParameterOfOcr initializationParameterO
         migraphx::onnx_options onnx_options;
         onnx_options.map_input_dims["input"]={1,1,32,100};
 
-        net = migraphx::parse_onnx(modelPath, onnx_options);       
+        net = migraphx::parse_onnx(modelPath, onnx_options);
         LOG_INFO(stdout,"succeed to load model: %s\n",GetFileName(modelPath).c_str());
 
         // 获取模型输入属性
@@ -100,14 +98,14 @@ ErrorCode Crnn::Initialize(InitializationParameterOfOcr initializationParameterO
     // 编译模型
     migraphx::compile_options options;
     options.device_id=0;                          // 设置GPU设备，默认为0号设备
-    options.offload_copy=true;                    
-    net.compile(gpuTarget,options);               
+    options.offload_copy=true;
+    net.compile(gpuTarget,options);
     LOG_INFO(stdout,"succeed to compile model: %s\n",GetFileName(modelPath).c_str());
 
     // warm up
     std::unordered_map<std::string, migraphx::argument> inputData;
     inputData[inputName]=migraphx::argument{inputShape};
-    net.eval(inputData);                        
+    net.eval(inputData);
 
     return SUCCESS;
 }
@@ -122,7 +120,7 @@ ErrorCode Crnn::Infer(const cv::Mat &srcImage, std::vector<char> &resultsChar, b
 
     cv::Mat inputImage, inputBlob;
     cv::cvtColor(srcImage, inputImage, CV_BGR2GRAY);
-    
+
     int height, width, widthRaw;
     widthRaw = inputImage.cols;
     if(dynamic)
@@ -136,12 +134,12 @@ ErrorCode Crnn::Infer(const cv::Mat &srcImage, std::vector<char> &resultsChar, b
         height = inputImage.rows, width = inputImage.cols;
     }
     inputBlob = cv::dnn::blobFromImage(inputImage);
-    
+
     for(int i=0; i<width * height; i++)
     {
         *((float*)inputBlob.data+i) = ((*((float*)inputBlob.data+i))/255.f - 0.5)/0.5;
     }
-    
+
     // 创建输入数据
     std::unordered_map<std::string, migraphx::argument> inputData;
     if(dynamic)
@@ -153,13 +151,13 @@ ErrorCode Crnn::Infer(const cv::Mat &srcImage, std::vector<char> &resultsChar, b
     {
         inputData[inputName]= migraphx::argument{inputShape, (float*)inputBlob.data};
     }
-    
+
     // 推理
     std::vector<migraphx::argument> inferenceResults = net.eval(inputData);
-     
+
     // 获取推理结果
     std::vector<cv::Mat> outs;
-    migraphx::argument result = inferenceResults[0]; 
+    migraphx::argument result = inferenceResults[0];
 
     // 转换为cv::Mat
     migraphx::shape outputShape = result.get_shape();
@@ -168,7 +166,7 @@ ErrorCode Crnn::Infer(const cv::Mat &srcImage, std::vector<char> &resultsChar, b
     memcpy(out.data,result.data(),sizeof(float)*outputShape.elements());
     outs.push_back(out);
 
-    std::vector<int> predChars; 
+    std::vector<int> predChars;
     const std::string alphabet = "-0123456789abcdefghijklmnopqrstuvwxyz";
 
     //获取字符索引序列
@@ -181,7 +179,7 @@ ErrorCode Crnn::Infer(const cv::Mat &srcImage, std::vector<char> &resultsChar, b
         int maxIdx = charIdPoint.x;
         predChars.push_back(maxIdx);
     }
-    
+
     //字符转录处理
     for(uint i=0; i<predChars.size(); i++)
     {

Src/Crnn.h

@@ -2,7 +2,6 @@
 #define __OCR_CRNN_H__
 
 #include <migraphx/program.hpp>
-
 #include <CommonDefinition.h>
 
 namespace migraphxSamples