🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
Train and Inference your custom YOLO-NAS model by Single Command Line
Modern re-implementation of the famous YOLO-NAS model
An CPP library for object detection with full processing using OpenCV DNN (for ONNX) on YOLO-NAS model.
Deci’s Neural Architecture Search Technology
This project uses YOLO-NAS and EasyOCR to detect license plates and perform Optical Character Recognition on them. The project includes both image and video processing capabilities, and has been deployed as a Streamlit web application. This is an update to Optical-Character-Recognition-WebApp project. Here we achieved a mAP@0.50': 0.962
Forest fires are one of the most destructive natural disasters, causing severe damage to ecosystems, wildlife, and human life. This project presents an automated Forest Fire Detection System using the powerful YOLO-NAS (You Only Look Once - Neural Architecture Search) model for real-time fire detection.
Detect human poses and analyze sitting posture in real time using YOLOv8-pose with a graphical interface for images, videos, and live camera feeds.
This repository provides a ROS2 package integrating YOLONAS with TensorRT for high-performance, real-time object detection using custom models. Easily configure input topics and models, and visualize results using RViz. Suitable for robotics applications requiring efficient and accurate detection.
Anaconda environment to train YOLONAS, to convert yolonas.onnx to TensorRT model and to test it with webcam in real time.
A simplified Yolo-NAS project based on the original version, focusing on essential features with ONNX export and commercial usability.
This are some of the useful helper functions which can be used while working with Yolo family
YOLO-REACT: "YOLO Real-time Ecological Application for Conservation Tactics"
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