#python #botsort #bytetrack #deep_learning #deepocsort #improvedassociation #mot #mots #multi_object_tracking #multi_object_tracking_segmentation #ocsort #osnet #segmentation #strongsort #tensorrt #tracking_by_detection #yolo

BoxMOT is a tool that helps track multiple objects in videos or images using advanced models. It offers various tracking methods that work well on different types of hardware, from CPUs to powerful GPUs. This means you can use it even if your computer is not very powerful. BoxMOT also saves time by allowing you to reuse pre-generated data, so you don't have to repeat calculations every time. You can easily install and use it with popular object detection models like YOLOv8, YOLOv9, and YOLOv10, and it supports tracking different types of data such as bounding boxes, segmentation masks, and pose estimations. This makes it very flexible and useful for various tasks involving object tracking.

https://github.com/mikel-brostrom/boxmot

#python #bytetrack #multi_object_tracking #oc_sort #sort

Trackers is a simple Python library (pip install trackers) for multi-object tracking that plugs into any detection model like YOLO. Use it via CLI on videos/webcams or in Python code with trackers like ByteTrack (top performer on MOT17/SportsMOT benchmarks) to add labels and trajectories. Evaluate with MOT metrics too. Benefit: Quickly add reliable object tracking to your computer vision projects for real-time apps like traffic or sports analysis, saving time on custom code.

https://github.com/roboflow/trackers