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

🔥🔥🔥 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

Demos for how to use the shared libs of Lite.AI.ToolKit🚀🚀🌟. (https://github.com/DefTruth/lite.ai.toolkit)

Experimental implementation of real-time object detection algorithm YOLOR on embedded systems (edge computing devices)

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.

fire detection with yoloR

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

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.

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

test models to proove state of art of object detection and classification in 3 differents dataset

Created by Mehmet Zahid Genç

Detection fresh and old fracture on spine CT image using YOLOR

🤖 Trained YOLOR model to detect texts on manga pages

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

☁️💡🎈专注于改进YOLOv7，Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules

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

🔥 Unleash the Power of Computer Vision!

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎