Update docs for wrong path (#338)

docs/api/vision_results/README.md

@@ -1,6 +1,6 @@
 # 视觉模型预测结果说明
 
-FastDeploy根据视觉模型的任务类型，定义了不同的结构体(`csrcs/fastdeploy/vision/common/result.h`)来表达模型预测结果，具体如下表所示
+FastDeploy根据视觉模型的任务类型，定义了不同的结构体(`fastdeploy/vision/common/result.h`)来表达模型预测结果，具体如下表所示
 
 | 结构体 | 文档 | 说明 | 相应模型 |
 | :----- | :--- | :---- | :------- |

docs/api/vision_results/classification_result.md

@@ -1,6 +1,6 @@
 # ClassifyResult 图像分类结果
 
-ClassifyResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像的分类结果和置信度。
+ClassifyResult代码定义在`fastdeploy/vision/common/result.h`中，用于表明图像的分类结果和置信度。
 
 ## C++ 定义
 

docs/api/vision_results/detection_result.md

@@ -1,6 +1,6 @@
 # DetectionResult 目标检测结果
 
-DetectionResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像检测出来的目标框、目标类别和目标置信度。
+DetectionResult代码定义在`fastdeploy/vision/common/result.h`中，用于表明图像检测出来的目标框、目标类别和目标置信度。
 
 ## C++ 定义
 

docs/api/vision_results/face_detection_result.md

@@ -1,6 +1,6 @@
 # FaceDetectionResult 人脸检测结果
 
-FaceDetectionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明人脸检测出来的目标框、人脸landmarks，目标置信度和每张人脸的landmark数量。
+FaceDetectionResult 代码定义在`fastdeploy/vision/common/result.h`中，用于表明人脸检测出来的目标框、人脸landmarks，目标置信度和每张人脸的landmark数量。
 
 ## C++ 定义
 

docs/api/vision_results/face_recognition_result.md

@@ -1,6 +1,6 @@
 # FaceRecognitionResult 人脸识别结果
 
-FaceRecognitionResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明人脸识别模型对图像特征的embedding。
+FaceRecognitionResult 代码定义在`fastdeploy/vision/common/result.h`中，用于表明人脸识别模型对图像特征的embedding。
 ## C++ 定义
 
 `fastdeploy::vision::FaceRecognitionResult`

docs/api/vision_results/matting_result.md

@@ -1,6 +1,6 @@
 # MattingResult 抠图结果
 
-MattingResult 代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明模型预测的alpha透明度的值，预测的前景等。
+MattingResult 代码定义在`fastdeploy/vision/common/result.h`中，用于表明模型预测的alpha透明度的值，预测的前景等。
 
 ## C++ 定义
 

docs/api/vision_results/segmentation_result.md

@@ -1,6 +1,6 @@
 # SegmentationResult 目标检测结果
 
-SegmentationResult代码定义在`csrcs/fastdeploy/vision/common/result.h`中，用于表明图像中每个像素预测出来的分割类别和分割类别的概率值。
+SegmentationResult代码定义在`fastdeploy/vision/common/result.h`中，用于表明图像中每个像素预测出来的分割类别和分割类别的概率值。
 
 ## C++ 定义
 

docs/docs_en/api/vision_results/README.md

@@ -1,6 +1,6 @@
 # Vision Model Inference Results
 
-FastDeploy defines different structs (`csrcs/fastdeploy/vision/common/result.h`) to demonstrate the model inference results according to the task types of vision models. The details are as follows
+FastDeploy defines different structs (`fastdeploy/vision/common/result.h`) to demonstrate the model inference results according to the task types of vision models. The details are as follows
 
 | Struct                | Doc                                        | Description                                                                  | Related Models          |
 |:--------------------- |:------------------------------------------ |:---------------------------------------------------------------------------- |:----------------------- |

docs/docs_en/api/vision_results/classification_result.md

@@ -1,6 +1,6 @@
 # Image Classification Results - ClassifyResult
 
-The ClassifyResult function is defined in `csrcs/fastdeploy/vision/common/result.h` , indicating the classification results and confidence level of the image.
+The ClassifyResult function is defined in `fastdeploy/vision/common/result.h` , indicating the classification results and confidence level of the image.
 
 ## C++ Definition
 

docs/docs_en/api/vision_results/detection_result.md

@@ -1,6 +1,6 @@
 # Detection Results
 
-The DetectionResult function is defined in `csrcs/fastdeploy/vision/common/result.h` , indicating the object's frame, class and confidence level from the image detection.
+The DetectionResult function is defined in `fastdeploy/vision/common/result.h` , indicating the object's frame, class and confidence level from the image detection.
 
 ## C++  Definition
 

docs/docs_en/api/vision_results/face_detection_result.md

@@ -1,6 +1,6 @@
 # Face Detection Results
 
-The FaceDetectionResult function is defined in `csrcs/fastdeploy/vision/common/result.h` , indicating the object's frame, face landmarks , target confidence and the number of landmarks for each face detected.
+The FaceDetectionResult function is defined in `fastdeploy/vision/common/result.h` , indicating the object's frame, face landmarks , target confidence and the number of landmarks for each face detected.
 
 ## C++  Definition
 

docs/docs_en/api/vision_results/face_recognition_result.md

@@ -1,6 +1,6 @@
 # Face Recognition Results
 
-The FaceRecognitionResult function is defined in `csrcs/fastdeploy/vision/common/result.h` , indicating the embedding of image features by the face recognition model.
+The FaceRecognitionResult function is defined in `fastdeploy/vision/common/result.h` , indicating the embedding of image features by the face recognition model.
 
 ## C++  Definition
 

docs/docs_en/api/vision_results/matting_result.md

@@ -1,6 +1,6 @@
 # Matting Results
 
-The MattingResult function is defined in `csrcs/fastdeploy/vision/common/result.h` , indicating the value of alpha transparency predicted by the model, the predicted foreground.
+The MattingResult function is defined in `fastdeploy/vision/common/result.h` , indicating the value of alpha transparency predicted by the model, the predicted foreground.
 
 ## C++ Definition
 

docs/docs_en/api/vision_results/segmentation_result.md

@@ -1,6 +1,6 @@
 # Segmentation Results
 
-The SegmentationResult function is defined in `csrcs/fastdeploy/vision/common/result.h` , indicating the predicted segmentation class and the probability value of the segmentation class from each pixel in the image.
+The SegmentationResult function is defined in `fastdeploy/vision/common/result.h` , indicating the predicted segmentation class and the probability value of the segmentation class from each pixel in the image.
 
 ## C++  Definition
 

examples/vision/detection/paddledetection/python/README.md

@@ -10,7 +10,7 @@
 ```bash
 #下载部署示例代码
 git clone https://github.com/PaddlePaddle/FastDeploy.git
-cd examples/vision/detection/paddledetection/python/
+cd FastDeploy/examples/vision/detection/paddledetection/python/
 
 #下载PPYOLOE模型文件和测试图片
 wget https://bj.bcebos.com/paddlehub/fastdeploy/ppyoloe_crn_l_300e_coco.tgz