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Keypoint Detection Result

The KeyPointDetectionResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the coordinates and confidence level of each keypoint of the target's behavior in the image.

C++ Definition

fastdeploy::vision::KeyPointDetectionResult

struct KeyPointDetectionResult {
  std::vector<std::array<float, 2>> keypoints;
  std::vector<float> scores;
  int num_joints = -1;
  void Clear();
  std::string Str();
};
  • keypoints: Member variable which indicates the coordinates of the identified target behavior keypoint. keypoints.size() = N * J:
    • N: the number of targets in the image
    • J: num_joints (the number of keypoints of a target)
  • scores: Member variable which indicates the confidence level of the keypoint coordinates of the identified target behavior. scores.size() = N * J:
    • N: the number of targets in the picture
    • J:num_joints (the number of keypoints of a target)
  • num_joints: Member variable which indicates the number of keypoints of a target.
  • 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.KeyPointDetectionResult

  • keypoints(list of list(float)): Member variable which indicates the coordinates of the identified target behavior keypoint. keypoints.size() = N * J:
    • N: the number of targets in the image
    • J: num_joints (the number of keypoints of a target)
  • scores(list of float): Member variable which indicates the confidence level of the keypoint coordinates of the identified target behavior. scores.size() = N * J:
    • N: the number of targets in the picture
    • J:num_joints (the number of keypoints of a target)
  • num_joints(int): Member variable which indicates the number of keypoints of a target.