Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

MOT using deepsort and yolov3 with pytorch

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

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

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

A c++ implementation of yolov5 and deepsort

DeepSORT + YOLOv5

Real-time multi-camera multi-object tracker using YOLO varients

using yolox+deepsort for object-tracking

A framework for building high-performance real-time multiple object trackers

This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.

A really more real-time adaptation of deep sort

基于YoloX目标检测+DeepSort算法实现多目标追踪Baseline

NVIDIA Deepstream 6.1 Python boilerplate