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FastDeploy/docs/api/vision_results/face_detection_result.md
HCQ14 61c2f87e0c [Doc] Update English version of some documents (#1084)
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2023-01-06 18:01:34 +08:00

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English | 中文

Face Detection Result

The FaceDetectionResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the target frames, face landmarks, target confidence and the number of landmark per face.

C++ Definition

fastdeploy::vision::FaceDetectionResult

struct FaceDetectionResult {
  std::vector<std::array<float, 4>> boxes;
  std::vector<std::array<float, 2>> landmarks;
  std::vector<float> scores;
  int landmarks_per_face;
  void Clear();
  std::string Str();
};
  • boxes: Member variable which indicates the coordinates of all detected target boxes in a single image. boxes.size() indicates the number of boxes, each box is represented by 4 float values in order of xmin, ymin, xmax, ymax, i.e. the coordinates of the top left and bottom right corner.
  • scores: Member variable which indicates the confidence level of all targets detected in a single image, where the number of elements is the same as boxes.size().
  • landmarks: Member variable which indicates the keypoints of all faces detected in a single image, where the number of elements is the same as boxes.size().
  • landmarks_per_face: Member variable which indicates the number of keypoints in each face box.
  • 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.FaceDetectionResult

  • boxes(list of list(float)): Member variable which indicates the coordinates of all detected target boxes in a single frame. It is a list, and each element in it is also a list of length 4, representing a box with 4 float values representing xmin, ymin, xmax, ymax, i.e. the coordinates of the top left and bottom right corner.
  • scores(list of float): Member variable which indicates the confidence level of all targets detected in a single image.
  • landmarks(list of list(float)): Member variable which indicates the keypoints of all faces detected in a single image.
  • landmarks_per_face(int): Member variable which indicates the number of keypoints in each face box.