jingh-ai/ultralytics-YOLO-DeepSort-ByteTrack-PyQt-GUI

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

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

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.

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

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

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.

LibreYOLO is a MIT licensed open source computer vision library