segmentation_result.md

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Segmentation Result

The SegmentationResult code is defined in fastdeploy/vision/common/result.h, indicating the segmentation category and the segmentation category probability predicted in each pixel in the image.

C++ Definition

fastdeploy::vision::SegmentationResult

struct SegmentationResult {
  std::vector<uint8_t> label_map;
  std::vector<float> score_map;
  std::vector<int64_t> shape;
  bool contain_score_map = false;
  void Clear();
  std::string Str();
};

• label_map: Member variable which indicates the segmentation category of each pixel in a single image. label_map.size() indicates the number of pixel points of a image.
• score_map: 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: Member variable which indicates the shape of the output image as H*W.
• Clear(): Member function used to clear the results stored in the structure.
• Str(): Member function used to output the information in the structure as string (for Debug).

Python Definition

fastdeploy.vision.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

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

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.

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.

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.

struct FD_C_OneDimArrayInt64 {
  size_t size;
  int64_t* data;
};