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

A Baseline for Multi Objective Tracking (MOT) of Soccer and Soccer Players Based on SoccerNet Tracking Dataset and PaddleDetection.

ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプル

Tracker Model Hub Library

Final-year project submitted as part of BSc Computer Science at Durham University. This project focuses on the application of object detection and tracking methods to the UAV imagery domain.

Paddle YOLO set: YOLOv3, PPYOLO, PPYOLOE, YOLOX, YOLOv5, YOLOv7 and so on.

A machine learning landing application, whose full name is "behavioral risk assessment".

YOLOXとByteTrackを用いたMOT(Multiple Object Tracking)のPythonサンプル

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

This Repo contains code for used for age and gender detection in CCTV videos

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

Packaged version of the ByteTrack repository

Standalone ByteTrack in Python, extracted from official implementation with very few dependencies

ByteTrack implementation for person tracking using PyTorch

Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.

Advanced Vehicle Tracking and Detection System using ByteTrack, Supervision, and YOLO Algorithms

A YOLOv5-based object detection model that identifies and tracks the players, the ball, the sideline referees and the goalkeeper separately when provided with a TV broadcast camera feed. Bytetrack is further used to enhance the model's capabilities! ⚽

Object Detection, Counting and Tracking Using YoloV8 with Supervision ByteTrack and LineZone Counter.

A state-of-the-art object detection system, built on the YOLOv5 framework, is employed to individually recognize and monitor players, the ball, sideline referees, and the goalkeeper in real-time using a television broadcast camera feed. The Bytetrack technology is integrated to augment and refine the model's performance! ⚽