roboflow / trackers
- суббота, 21 февраля 2026 г. в 00:00:06
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
No install needed. Try trackers in your browser with our Hugging Face Playground.
pip install trackerspip install git+https://github.com/roboflow/trackers.gitPoint at a video, webcam, RTSP stream, or image directory. Get tracked output.
Use our interactive command builder to configure your tracking pipeline.
trackers track \
--source video.mp4 \
--output output.mp4 \
--model rfdetr-medium \
--tracker bytetrack \
--show-labels \
--show-trajectoriesPlug trackers into your existing detection pipeline. Works with any detector.
import cv2
import supervision as sv
from inference import get_model
from trackers import ByteTrackTracker
model = get_model(model_id="rfdetr-medium")
tracker = ByteTrackTracker()
label_annotator = sv.LabelAnnotator()
trajectory_annotator = sv.TrajectoryAnnotator()
cap = cv2.VideoCapture("video.mp4")
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
result = model.infer(frame)[0]
detections = sv.Detections.from_inference(result)
tracked = tracker.update(detections)
frame = label_annotator.annotate(frame, tracked)
frame = trajectory_annotator.annotate(frame, tracked)Benchmark your tracker against ground truth with standard MOT metrics.
trackers eval \
--gt-dir data/gt \
--tracker-dir data/trackers \
--metrics CLEAR HOTA IdentitySequence MOTA HOTA IDF1 IDSW
----------------------------------------------------------
MOT17-02-FRCNN 75.600 62.300 72.100 42
MOT17-04-FRCNN 78.200 65.100 74.800 31
----------------------------------------------------------
COMBINED 75.033 62.400 72.033 73
Clean, modular implementations of leading trackers. See the tracker comparison for detailed benchmarks.
| Algorithm | MOT17 | SportsMOT | SoccerNet |
|---|---|---|---|
| SORT | 58.4 | 70.9 | 81.6 |
| ByteTrack | 60.1 | 73.0 | 84.0 |
| OC-SORT | — | — | — |
| BoT-SORT | — | — | — |
| McByte | — | — | — |
We welcome contributions. Read our contributor guidelines to get started.
The code is released under the Apache 2.0 license.