Welcome to Multi-object trackers in Python’s documentation!

• Multi-object trackers in Python
  • Available Multi Object Trackers
  • Available OpenCV-based object detectors:
  • Installation
  • How to use?: Examples
  • Pretrained object detection models
  • References, Credits and Contributions
  • Citation
• Example: TF-MobileNetSSD + CentroidTracker
• Example: YOLOv3 + CentroidTracker
• Tracker
  • Tracker
• SORT
  • assign_tracks2detection_iou()
  • SORT
• IOU Tracker
  • IOUTracker
• Kalman Filter based Centroid Tracker
  • assign_tracks2detection_centroid_distances()
  • CentroidKF_Tracker
• Tracks
  • Track
  • KFTrackSORT
  • KFTrack4DSORT
  • KFTrackCentroid
• Kalman Filters
  • KalmanFilter
  • KFTrackerConstantAcceleration
  • KFTracker1D
  • KFTracker2D
  • KFTracker4D
  • KFTrackerSORT
• Object Detection
  • Detector
  • Caffe_SSDMobileNet
  • TF_SSDMobileNetV2
  • YOLOv3
• Utilities
  • get_centroid()
  • iou()
  • iou_xywh()
  • xyxy2xywh()
  • xywh2xyxy()
  • midwh2xywh()
  • intersection_complement_indices()
  • nms()
  • draw_tracks()
  • load_labelsjson()
  • dict2jsonfile()
  • create_filechooser()
  • select_caffemodel_prototxt()
  • select_caffemodel_weights()
  • select_caffemodel()
  • select_videofile()
  • select_yolo_weights()
  • select_coco_labels()
  • select_yolo_config()
  • select_yolo_model()
  • select_pbtxt()
  • select_tfmobilenet_weights()
  • select_tfmobilenet()
  • Download pretrained neural-network weights.
• References and Credits
• Contributor Covenant Code of Conduct
  • Our Pledge
  • Our Standards
  • Our Responsibilities
  • Scope
  • Enforcement
  • Attribution

Indices and tables

• Index