Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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Updated
Aug 7, 2024 - Python
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Vehicle speed estimation using YOLOv9 for object detection and DeepSORT for tracking
Object tracking implemented with YOLOv8, TensorRT, CUDA, DeepSort, and Pytorch.
Complete resource for people wanting to learn Computer Vision with the latest OpenCV4, Dlib and DeepLearning
Lightweight Python library for adding real-time multi-object tracking to any detector.
In this project, we employ the YOLOv8 model for detecting a football in video frames and the Deep SORT algorithm for tracking the detected football across the frames. This combination ensures robust and real-time object detection and tracking.
《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。
A really more real-time adaptation of deep sort
Detect and track people wearing high visibility clothing using a custom trained YOLO model, deepSORT and IOU to detect if a high vis is being worn by an individual
Real Time Detection Transformer and Tracking
A framework for building high-performance real-time multiple object trackers
This repository contains code for object detection and tracking in videos using the YOLOv10 object detection model and the DeepSORT algorithm.
Anomaly Detection in Surveillance VIdeos
Real-time PPE detection and tracking using YOLO v3 and deep_sort
Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7,YOLOv8) and StrongSORT with OSNet
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