fix README.md

Doc/Tutorial_Cpp.md

@@ -40,10 +40,10 @@ samples工程中的Resource/Configuration.xml文件的DetectorYOLOV8节点表示
 ErrorCode DetectorYOLOV8::Initialize(InitializationParameterOfDetector initializationParameterOfDetector, bool dynamic)
 {
     ...
-    
-        // 加载模型
-        net = migraphx::parse_onnx(modelPath);
-        LOG_INFO(stdout,"succeed to load model: %s\n",GetFileName(modelPath).c_str());
+
+    // 加载模型
+    net = migraphx::parse_onnx(modelPath);
+    LOG_INFO(stdout,"succeed to load model: %s\n",GetFileName(modelPath).c_str());
     ...
     
 }
@@ -54,12 +54,12 @@ ErrorCode DetectorYOLOV8::Initialize(InitializationParameterOfDetector initializ
 ```cpp
 ErrorCode DetectorYOLOV8::Initialize(InitializationParameterOfDetector initializationParameterOfDetector, bool dynamic)
 {
-	...
-        
-        migraphx::onnx_options onnx_options;
-        onnx_options.map_input_dims["images"]={1,3,1024,1024};// 
-        net = migraphx::parse_onnx(modelPath, onnx_options);
-        
+    ...
+    
+    migraphx::onnx_options onnx_options;
+    onnx_options.map_input_dims["images"]={1,3,1024,1024};// 
+    net = migraphx::parse_onnx(modelPath, onnx_options);
+    
     ...
 }
 ```
@@ -77,9 +77,9 @@ ErrorCode DetectorYOLOV8::Initialize(InitializationParameterOfDetector initializ
 ```cpp
 ErrorCode DetectorYOLOV8::Detect(const cv::Mat &srcImage, std::vector<std::size_t> &relInputShape, std::vector<ResultOfDetection> &resultsOfDetection, bool dynamic)
 { 
-  ...
+    ...
   
-   // 数据预处理并转换为NCHW格式
+    // 数据预处理并转换为NCHW格式
     inputSize = cv::Size(relInputShape[3], relInputShape[2]);
     cv::Mat inputBlob;
     cv::dnn::blobFromImage(srcImage,

Doc/Tutorial_Python.md

@@ -20,7 +20,8 @@ YOLOV8是一种单阶段目标检测算法，该算法在YOLOV5的基础上添
 def preprocess(self, image):
         """
         Preprocesses the input image before performing inference.
-
+        Args:
+            image: image to preprocess.
         Returns:
             image_data: Preprocessed image data ready for inference.
         """

README.md

@@ -151,15 +151,15 @@ cd build/
 
 python程序运行结束后，会在当前目录生成YOLOV8静态推理检测结果可视化图像。
 
-<img src="./Python/Result.jpg" alt="Result" style="zoom: 50%;" />
+<img src="./Resource/Images/Result_python.jpg" alt="Result" style="zoom: 50%;" />
 
 动态推理：
 
 python程序运行结束后，会在当前目录生成YoloV8动态推理检测结果可视化图像。
 
-<img src="./Python/Result0.jpg" alt="Result_2" style="zoom: 50%;" />
+<img src="./Resource/Images/Result0_python.jpg" alt="Result_2" style="zoom: 50%;" />
 
-<img src="./Python/Result1.jpg" alt="Result1" style="zoom: 50%;" />
+<img src="./Resource/Images/Result1_python.jpg" alt="Result1" style="zoom: 50%;" />
 
 ### C++版本