RizwanMunawar/yolov7-object-tracking

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.

a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera

A real-time multi-object tracking application in C++17 with Qt and ONNX Runtime that runs a YOLO detector with four pluggable trackers — ByteTrack, OC-SORT, Deep OC-SORT, and DeepSORT.

Lightweight Python library for adding real-time multi-object tracking to any detector.

Fast Real-time Object Detection with High-Res Output https://x.com/_akhaliq/status/1840213012818329826 https://x.com/githubprojects/status/1891370506537910724 https://www.threads.net/@githubprojects/post/DGKdoE4zdUX

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Detect Anything in Real Time: Real-time object detection using frontier object detection models.