BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

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.

This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .

Real-Time Face Recognition use SCRFD, ArcFace, ByteTrack and Similarity Measure

分别使用OpenCV、ONNXRuntime部署YOLOX+ByteTrack目标跟踪，包含C++和Python两个版本的程序

C++ implementation of ByteTrack that does not include an object detection algorithm.

基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。

Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair

A general-purpose real-time streaming media and deep learning inference acceleration framework, supporting H264, H265, AAC, MP4, FLV, RTSP, RTMP, and YOLO.实时流媒体及深度学习推理加速通用处理框架，支持H264、H265、AAC、MP4、FLV、RTSP、RTMP、YOLO。

Packaged version of the ByteTrack repository

Integration of YOLOv9 with ByteTracker

Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)

ByteTrack implementation in C#, based on https://github.com/Vertical-Beach/ByteTrack-cpp

ByteTrack-Eigen is a C++ implementation of the ByteTrack object tracking method, leveraging the Eigen library for high-performance matrix and vector operations.

Анализ трафика на круговом движении с использованием компьютерного зрения

ByteTrack + ROS 2

Mono repo with sinapsis templates for object tracking

Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT 进行推理加速