21 results for “topic: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)
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
☁️💡🎈专注于改进YOLOv7,Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules
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
:rocket: :star: The list of the most popular YOLO algorithms - awesome YOLO
:fire::fire::fire: 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
Final project of VRDL course in 2021 fall semester at NYCU.
Helpful programs for dataset preparation in YOLO and YOLOR detection algorithms.
🔥 Unleash the Power of Computer Vision!