yolo11s_pose_botsort.yaml

type: yolo11_pose_track
name: yolo11s_pose_botsort-r20240930
display_name: YOLO11s-Pose-BoT-SORT
model_path: https://github.com/CVHub520/X-AnyLabeling/releases/download/v2.4.4/yolo11s-pose.onnx
nms_threshold: 0.6
confidence_threshold: 0.25
kpt_threshold: 0.25
has_visible: true
show_boxes: True
tracker:
  # Base settings
  tracker_type: botsort # tracker type, ['botsort', 'bytetrack']
  track_high_thresh: 0.5 # threshold for the first association
  track_low_thresh: 0.1 # threshold for the second association
  new_track_thresh: 0.6 # threshold for init new track if the detection does not match any tracks
  track_buffer: 30 # buffer to calculate the time when to remove tracks
  match_thresh: 0.8 # threshold for matching tracks
  fuse_score: True
  # BoT-SORT settings
  gmc_method: sparseOptFlow # method of global motion compensation
  # ReID model related thresh (not supported yet)
  proximity_thresh: 0.5
  appearance_thresh: 0.25
  with_reid: False
classes:
  person:
    - nose
    - left_eye
    - right_eye
    - left_ear
    - right_ear
    - left_shoulder
    - right_shoulder
    - left_elbow
    - right_elbow
    - left_wrist
    - right_wrist
    - left_hip
    - right_hip
    - left_knee
    - right_knee
    - left_ankle
    - right_ankle