[Doc] Add docs for ppocr ppseg examples (#1429)

* add docs for examples

* add english doc

* fix

* fix docs

docs/api/vision_results/ocr_result.md

@@ -41,3 +41,78 @@ fastdeploy.vision.OCRResult
 - **rec_scores**: Member variable which indicates the confidence level of the recognized text, where the element number is the same as `boxes.size()`.
 - **cls_scores**: Member variable which indicates the confidence level of the classification result of the text box, where the element number is the same as `boxes.size()`.
 - **cls_labels**: Member variable which indicates the directional category of the textbox, where the element number is the same as `boxes.size()`.
+
+
+## C# Definition
+
+`fastdeploy.vision.OCRResult`
+
+```C#
+public class OCRResult {
+  public List<int[]> boxes;
+  public List<string> text;
+  public List<float> rec_scores;
+  public List<float> cls_scores;
+  public List<int> cls_labels;
+  public ResultType type;
+}
+```
+
+- **boxes**: Member variable which indicates the coordinates of all detected target boxes in a single image. `boxes.Count` indicates the number of detected boxes. Each box is represented by 8 int values to indicate the 4 coordinates of the box, in the order of lower left, lower right, upper right, upper left.
+- **text**: Member variable which indicates the content of the recognized text in multiple text boxes, where the element number is the same as `boxes.Count`.
+- **rec_scores**: Member variable which indicates the confidence level of the recognized text, where the element number is the same as `boxes.Count`.
+- **cls_scores**: Member variable which indicates the confidence level of the classification result of the text box, where the element number is the same as `boxes.Count`.
+- **cls_labels**: Member variable which indicates the directional category of the textbox, where the element number is the same as `boxes.Count`.
+
+## C Definition
+
+```c
+struct FD_C_OCRResult {
+  FD_C_TwoDimArrayInt32 boxes;
+  FD_C_OneDimArrayCstr text;
+  FD_C_OneDimArrayFloat rec_scores;
+  FD_C_OneDimArrayFloat cls_scores;
+  FD_C_OneDimArrayInt32 cls_labels;
+  FD_C_ResultType type;
+};
+```
+
+- **boxes**: Member variable which indicates the coordinates of all detected target boxes in a single image.
+
+```c
+typedef struct FD_C_TwoDimArrayInt32 {
+  size_t size;
+  FD_C_OneDimArrayInt32* data;
+} FD_C_TwoDimArrayInt32;
+```
+
+```c
+typedef struct FD_C_OneDimArrayInt32 {
+  size_t size;
+  int32_t* data;
+} FD_C_OneDimArrayInt32;
+```
+
+- **text**: Member variable which indicates the content of the recognized text in multiple text boxes
+
+```c
+typedef struct FD_C_Cstr {
+  size_t size;
+  char* data;
+} FD_C_Cstr;
+typedef struct FD_C_OneDimArrayCstr {
+  size_t size;
+  FD_C_Cstr* data;
+} FD_C_OneDimArrayCstr;
+```
+
+- **rec_scores**: Member variable which indicates the confidence level of the recognized text
+
+```c
+typedef struct FD_C_OneDimArrayFloat {
+  size_t size;
+  float* data;
+} FD_C_OneDimArrayFloat;
+```
+- **cls_scores**: Member variable which indicates the confidence level of the classification result of the text box
+- **cls_labels**: Member variable which indicates the directional category of the textbox

docs/api/vision_results/ocr_result_CN.md

@@ -41,3 +41,78 @@ fastdeploy.vision.OCRResult
 - **rec_scores**: 成员变量，表示文本框内识别出来的文本的置信度，其元素个数与`boxes.size()`一致
 - **cls_scores**: 成员变量，表示文本框的分类结果的置信度，其元素个数与`boxes.size()`一致
 - **cls_labels**: 成员变量，表示文本框的方向分类类别，其元素个数与`boxes.size()`一致
+
+## C# 定义
+
+`fastdeploy.vision.OCRResult`
+
+```C#
+public class OCRResult {
+  public List<int[]> boxes;
+  public List<string> text;
+  public List<float> rec_scores;
+  public List<float> cls_scores;
+  public List<int> cls_labels;
+  public ResultType type;
+}
+```
+
+- **boxes**: 成员变量，表示单张图片检测出来的所有目标框坐标，`boxes.Count`表示单张图内检测出的框的个数，每个框以8个int数值依次表示框的4个坐标点，顺序为左下，右下，右上，左上
+- **text**: 成员变量，表示多个文本框内被识别出来的文本内容，其元素个数与`boxes.Count`一致
+- **rec_scores**: 成员变量，表示文本框内识别出来的文本的置信度，其元素个数与`boxes.Count`一致
+- **cls_scores**: 成员变量，表示文本框的分类结果的置信度，其元素个数与`boxes.Count`一致
+- **cls_labels**: 成员变量，表示文本框的方向分类类别，其元素个数与`boxes.Count`一致
+
+## C定义
+
+```c
+struct FD_C_OCRResult {
+  FD_C_TwoDimArrayInt32 boxes;
+  FD_C_OneDimArrayCstr text;
+  FD_C_OneDimArrayFloat rec_scores;
+  FD_C_OneDimArrayFloat cls_scores;
+  FD_C_OneDimArrayInt32 cls_labels;
+  FD_C_ResultType type;
+};
+```
+
+- **boxes**: 成员变量，表示单张图片检测出来的所有目标框坐标。
+
+```c
+typedef struct FD_C_TwoDimArrayInt32 {
+  size_t size;
+  FD_C_OneDimArrayInt32* data;
+} FD_C_TwoDimArrayInt32;
+```
+
+```c
+typedef struct FD_C_OneDimArrayInt32 {
+  size_t size;
+  int32_t* data;
+} FD_C_OneDimArrayInt32;
+```
+
+- **text**: 成员变量，表示多个文本框内被识别出来的文本内容。
+
+```c
+typedef struct FD_C_Cstr {
+  size_t size;
+  char* data;
+} FD_C_Cstr;
+
+typedef struct FD_C_OneDimArrayCstr {
+  size_t size;
+  FD_C_Cstr* data;
+} FD_C_OneDimArrayCstr;
+```
+
+- **rec_scores**: 成员变量，表示文本框内识别出来的文本的置信度。
+
+```c
+typedef struct FD_C_OneDimArrayFloat {
+  size_t size;
+  float* data;
+} FD_C_OneDimArrayFloat;
+```
+- **cls_scores**: 成员变量，表示文本框的分类结果的置信度。
+- **cls_labels**: 成员变量，表示文本框的方向分类类别。

docs/api/vision_results/segmentation_result.md

@@ -31,3 +31,63 @@ struct SegmentationResult {
 - **label_map**(list of int): Member variable which indicates the segmentation category of each pixel in a single image.
 - **score_map**(list of float): Member variable which indicates the predicted segmentation category probability value corresponding to the label_map one-to-one, the member variable is not empty only when `--output_op none` is specified when exporting the PaddleSeg model, otherwise the member variable is empty.
 - **shape**(list of int): Member variable which indicates the shape of the output image as H\*W.
+
+
+## C# Definition
+
+`fastdeploy.vision.SegmentationResult`
+
+```C#
+public class SegmentationResult{
+  public List<byte> label_map;
+  public List<float> score_map;
+  public List<long> shape;
+  public bool contain_score_map;
+  public ResultType type;
+}
+```
+
+- **label_map**(list of int): Member variable which indicates the segmentation category of each pixel in a single image.
+- **score_map**(list of float): Member variable which indicates the predicted segmentation category probability value corresponding to the label_map one-to-one, the member variable is not empty only when `--output_op none` is specified when exporting the PaddleSeg model, otherwise the member variable is empty.
+- **shape**(list of int): Member variable which indicates the shape of the output image as H\*W.
+
+
+
+## C Definition
+
+```c
+struct FD_C_SegmentationResult {
+  FD_C_OneDimArrayUint8 label_map;
+  FD_C_OneDimArrayFloat score_map;
+  FD_C_OneDimArrayInt64 shape;
+  FD_C_Bool contain_score_map;
+  FD_C_ResultType type;
+};
+```
+
+- **label_map**(FD_C_OneDimArrayUint8): Member variable which indicates the segmentation category of each pixel in a single image.
+
+```c
+struct FD_C_OneDimArrayUint8 {
+  size_t size;
+  uint8_t* data;
+};
+```
+
+- **score_map**(FD_C_OneDimArrayFloat): Member variable which indicates the predicted segmentation category probability value corresponding to the label_map one-to-one, the member variable is not empty only when `--output_op none` is specified when exporting the PaddleSeg model, otherwise the member variable is empty.
+
+```c
+struct FD_C_OneDimArrayFloat {
+  size_t size;
+  float* data;
+};
+```
+
+- **shape**(FD_C_OneDimArrayInt64): Member variable which indicates the shape of the output image as H\*W.
+
+```c
+struct FD_C_OneDimArrayInt64 {
+  size_t size;
+  int64_t* data;
+};
+```

docs/api/vision_results/segmentation_result_CN.md

@@ -33,3 +33,61 @@ struct SegmentationResult {
 - **label_map**(list of int): 成员变量，表示单张图片每个像素点的分割类别
 - **score_map**(list of float): 成员变量，与label_map一一对应的所预测的分割类别概率值，只有导出PaddleSeg模型时指定`--output_op none`时，该成员变量才不为空，否则该成员变量为空
 - **shape**(list of int): 成员变量，表示输出图片的shape，为H\*W
+
+## C# 定义
+
+`fastdeploy.vision.SegmentationResult`
+
+```C#
+public class SegmentationResult{
+  public List<byte> label_map;
+  public List<float> score_map;
+  public List<long> shape;
+  public bool contain_score_map;
+  public ResultType type;
+}
+```
+
+- **label_map**(list of byte): 成员变量，表示单张图片每个像素点的分割类别
+- **score_map**(list of float): 成员变量，与label_map一一对应的所预测的分割类别概率值，只有导出PaddleSeg模型时指定`--output_op none`时，该成员变量才不为空，否则该成员变量为空
+- **shape**(list of long): 成员变量，表示输出图片的shape，为H\*W
+
+
+## C定义
+
+```c
+struct FD_C_SegmentationResult {
+  FD_C_OneDimArrayUint8 label_map;
+  FD_C_OneDimArrayFloat score_map;
+  FD_C_OneDimArrayInt64 shape;
+  FD_C_Bool contain_score_map;
+  FD_C_ResultType type;
+};
+```
+
+- **label_map**(FD_C_OneDimArrayUint8): 成员变量，表示单张图片每个像素点的分割类别
+
+```c
+struct FD_C_OneDimArrayUint8 {
+  size_t size;
+  uint8_t* data;
+};
+```
+
+- **score_map**(FD_C_OneDimArrayFloat): 成员变量，与label_map一一对应的所预测的分割类别概率值，只有导出PaddleSeg模型时指定`--output_op none`时，该成员变量才不为空，否则该成员变量为空
+
+```c
+struct FD_C_OneDimArrayFloat {
+  size_t size;
+  float* data;
+};
+```
+
+- **shape**(FD_C_OneDimArrayInt64): 成员变量，表示输出图片的shape，为H\*W
+
+```c
+struct FD_C_OneDimArrayInt64 {
+  size_t size;
+  int64_t* data;
+};
+```

examples/vision/classification/paddleclas/csharp/README.md

@@ -49,9 +49,9 @@ Then you can run your program and test the model with image
 ```shell
 cd Release
 # CPU inference
-./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 0
+infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 0
 # GPU inference
-./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 1
+infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 1
 ```
 
 ## PaddleClas C# Interface

examples/vision/classification/paddleclas/csharp/README_CN.md

@@ -8,7 +8,7 @@
 - 1. 软硬件环境满足要求，参考[FastDeploy环境要求](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)  
 - 2. 根据开发环境，下载预编译部署库和samples代码，参考[FastDeploy预编译库](../../../../../docs/cn/build_and_install/download_prebuilt_libraries.md)
 
-以Linux上ResNet50_vd推理为例，在本目录执行如下命令即可完成编译测试，支持此模型需保证FastDeploy版本1.0.4以上(x.x.x>=1.0.4)
+在本目录执行如下命令即可在Windows完成编译测试，支持此模型需保证FastDeploy版本1.0.4以上(x.x.x>=1.0.4)
 
 ## 1. 下载C#包管理程序nuget客户端
 > https://dist.nuget.org/win-x86-commandline/v6.4.0/nuget.exe
@@ -50,9 +50,9 @@ fastdeploy_init.bat install %cd% D:\Download\fastdeploy-win-x64-gpu-x.x.x\exampl
 ```shell
 cd Release
 # CPU推理
-./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 0
+infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 0
 # GPU推理
-./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 1
+infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 1
 ```
 
 ## PaddleClas C#接口