yolor

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

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

🚀 ⭐ The list of the most popular YOLO algorithms - 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

Implementation of real-time object detection algorithm YOLOR on edge device

Real Time Lane Detection + Lane Line Generation + Object Detection + Object Counting (DeepSort, YoloR)

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

Final project of VRDL course in 2021 fall semester at NYCU.

Helpful programs for dataset preparation in YOLO and YOLOR detection algorithms.

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.