纸张的实施-YOLOv7:可训练的免费赠品袋为实时物体检测器设定了新的最新水平
yolor 开源项目推荐(21 个)
yolor 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 21 个仓库实施论文-您只学习一种表示:多任务统一网络(https://arxiv.org/abs/2105.04206)
简单且模块化的计算机视觉检测器、追踪器和SAM——运行YOLOv9,v8,v7,v6,v5,R,X,代码不到10行。
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
☁️💡🎈专注于改进YOLOv7,Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules
最受欢迎的 YOLO 算法列表——awesome YOLO
🔥🔥🔥 YOLOR 训练自己的数据集,详细教程
使用ONNXRuntime部署anchor-free系列的YOLOR,包含C++和Python两种版本的程序
A cloud-based software application that monitors compliance with multiple personal protective equipment for construction safety and delivers reports to safety officers' mobile applications via a lightweight messaging protocol (MQTT).
Demos for how to use the shared libs of Lite.AI.ToolKit🚀🚀🌟. (https://github.com/DefTruth/lite.ai.toolkit)
Detection fresh and old fracture on spine CT image using YOLOR
fire detection with yoloR
Real Time Lane Detection + Lane Line Generation + Object Detection + Object Counting (DeepSort, YoloR)
Implementation of real-time object detection algorithm YOLOR on edge device
test models to proove state of art of object detection and classification in 3 differents dataset
FSOD stands for Firearms and Sharp Object Detector. Conclusively, this dashboard is a web application made with streamlit that can detect several kind of firearms and sharp object threat that I build for my bachelor's thesis project. Object detection algorithm used to make the model are YOLO-R and also used Deepsort for tracking purpose.
🤖 Trained YOLOR model to detect texts on manga pages
Helpful programs for dataset preparation in YOLO and YOLOR detection algorithms.
Final project of VRDL course in 2021 fall semester at NYCU.
Implementation of the state of the art YOLOR algorithm for object detection and linked it with flask for a web app where the images and videos can be given as input and the detected output can be viewed in a separate images and videos. The aim of this project is to detect real time objects in both images and videos with the maximum accuracy.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/yolor。
- 该话题在 GitHub 上共有 21 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.7 万 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。