YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

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

using yolox+deepsort for object-tracking

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.

This repository contains code for object detection and tracking in videos using the YOLOv10 object detection model and the DeepSORT algorithm.

YOLOv7 Object Tracking using PyTorch, OpenCV and DeepSORT

This repository contains code for object detection and tracking in videos using the YOLOv9 object detection model and the DeepSORT algorithm.

YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.

Fish Detection, Tracking and Counting using YOLOv3 and DeepSORT

YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.

Tracking and counting persons

YOLOv9 Object Tracking using PyTorch, OpenCV and DeepSORT

A human detector and tracker, written in python, using YOLOv7 for detection and DeepSORT for tracking the detections from YOLO.

YOLOv7 Segmentation using OpenCV and PyTorch with DeepSORT Tracking (ID + TRAILS)

This repository contains the code for object tracking in images, videos, and live webcam feed using YOLOv10 and the DeepSORT algorithm.

This repository contains code for object tracking in videos using the YOLO-NAS object detection model and the DeepSORT algorithm.

Vehicle detection using YOLOv3,4,5 ---- Tracking using DeepSORT -----Speed Estimating using personal method

Multi Camera Face Detection and Recognition with Tracking

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Vehicle speed estimation using YOLOv9 for object detection and DeepSORT for tracking

Real Time Person Tracking using DeepSort and Yolo_v4

A tracking scheme developed by integrating six tracking methods, DeepSORT StrongSORT OSNet HybridSORT, OCSORT, and ByteTrack, using yolov5

Object Detection and Tracking in Street View Imagery using YOLOv3 and DeepSORT.

This project implements a real-time customer tracking system using computer vision to monitor how long customers spend in a store. It combines YOLO v11m for person detection with DeepSort tracking to maintain consistent customer IDs and measure their duration of stay.

Using Yolov5, DeepSort and Supervision to track the number of sacks loaded onto and off of a truck.

No description available

Simplified Traffic Monitoring by vehicle detection, tracking and speed estimation using YOLO v8 and DeepSort

The YOLOv5 DeepSORT GitHub repository is an open-source project for real-time object tracking using the YOLOv5 and DeepSORT algorithms. The code is written in Python using PyTorch

A comprehensive computer vision application for automated pickleball analysis using YOLO pose estimation, DeepSORT tracking, and advanced analytics.

Demo of using Yolov9 and DeepSORT for object tracking