Create matting_result.md

docs/docs_en/api/vision_results/matting_result.md

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+# 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.
+
+## C++ Definition
+
+`fastdeploy::vision::MattingResult`
+
+```c++
+struct MattingResult {
+  std::vector<float> alpha;
+  std::vector<float> foreground;
+  std::vector<int64_t> shape;
+  bool contain_foreground = false;
+  void Clear();
+  std::string Str();
+};
+```
+
+- **alpha**: a one-dimensional vector of predicted alpha transparency value in the range [0.,1.] and length hxw, with h,w being the height and width of the input image
+- **foreground**: a one-dimensional vector for the predicted foreground, with a value range of [0.,255.] and a length of hxwxc. 'h,w' is the height and width of the input image, and c=3 in general. The foreground feature is not always available. It is only valid if the model predicts the foreground
+- **contain_foreground**: indicates whether the predicted result contains a foreground
+- **shape**: indicates the results shape. When contain_foreground is false, the shape only contains (h,w); when contain_foreground is true, the shape contains (h,w,c), and c is generally 3
+- **Clear()**: Member function that clears the results stored in a struct.
+- **Str()**: Member function that outputs the information in the struct as a string (for Debug)
+
+## Python Definition
+
+`fastdeploy.vision.MattingResult`
+
+- **alpha**(list of float): a one-dimensional vector of predicted alpha transparency value in the range [0.,1.] and length hxw, with h,w being the height and width of the input image.
+- **foreground**(list of float): a one-dimensional vector for the predicted foreground, with a value range of [0.,255.] and a length of hxwxc. 'h,w' is the height and width of the input image, and c=3 in general. The foreground feature is not always available. It is only valid if the model predicts the foreground.
+- **contain_foreground**(bool): indicates whether the predicted result contains a foreground
+- **shape**(list of int): indicates the results shape. When contain_foreground is false, the shape only contains (h,w); when contain_foreground is true, the shape contains (h,w,c), and c is generally 3