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FastDeploy/docs/api/vision_results/mot_result_EN.md
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English | 中文

Multi-target Tracking Result

The MOTResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the detected target frame, target tracking id, target class and target confidence ratio in multi-target tracking task.

C++ Definition

fastdeploy::vision::MOTResult
struct MOTResult{
  // left top right bottom
  std::vector<std::array<int, 4>> boxes;
  std::vector<int> ids;
  std::vector<float> scores;
  std::vector<int> class_ids;
  void Clear();
  std::string Str();
};
  • boxes: Member variable which indicates the coordinates of all detected target boxes in a single frame. 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.
  • ids: Member variable which indicates the ids of all targets in a single frame, where the element number is the same as boxes.size().
  • scores: Member variable which indicates the confidence level of all targets detected in a single frame, where the number of elements is the same as boxes.size().
  • class_ids: Member variable which indicates all target classes detected in a single frame, where the element number is the same as boxes.size().
  • 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.MOTResult
  • 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.
  • ids(list of list(float)): Member variable which indicates the ids of all targets in a single frame, where the element number is the same as boxes.
  • scores(list of float): Member variable which indicates the confidence level of all targets detected in a single frame.
  • class_ids(list of float): Member variable which indicates all target classes detected in a single frame.