Real-time Streaming Content Filtering Program / 실시간 스트리밍 모자이크 및 콘텐츠 필터링 프로그램

WaveTracker is an open-source Python tool developed during the Le Wagon Bootcamp in 2023. It detects and tracks waves in surf webcam videos using YOLOv10 and Deep SORT to identify "wave pockets." It generates annotated videos and JSON files with detailed tracking data, helping monitor real-time surf conditions.

Необходимо разработать решение для отслеживания и сортировки мусора на конвейере – выделять мусор в общем потоке предметов

Hackathon from Yandex Workshop

This project utilize YOLOv8 and DeepSORT to make mask waste detection model.

A Flask app for multiple live video streaming over a network with object detection, tracking (optional), and counting. Uses YOLO v4 with Tensorflow backend as the object detection model and Deep SORT trained on the MARS dataset for object tracking. Each video stream has an independent thread and uses ImageZMQ for asynchronous sending and process

People detection and optional tracking with Tensorflow backend.

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

MOT using deepsort and yolov3 with pytorch

deep sort with yolov3. Modify darknet based yolov3 to pytorch based yolov3.

Real-time PPE detection and tracking using YOLO v3 and deep_sort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

using yolox+deepsort for object-tracking

Реализация базовых алгоритмов SORT и DeepSORT для задачи трекинга (MOT) в компьютерном зрении

Multi-object tracking using a tracking-by-detection scheme with YOLO-NAS + DeepSORT.

Object Detection and Tracking using yolov3 and deepsort

Multiple Objects Counting

This is a project of Object Detection using YOLOv4 and Deep SORT