Ultralytics YOLO11 🚀
-
Updated
Oct 11, 2024 - Python
Ultralytics YOLO11 🚀
🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下,享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
🚀🚀🚀A collection of some awesome public projects about Large Language Model, Vision Foundation Model and AI Generated Content.
Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.
Integrate YOLOv8 into your C# project for a variety of real-time tasks including object detection, instance segmentation, pose estimation and more, using ONNX Runtime.
YOLOv8 Face 🚀 in PyTorch > ONNX > CoreML > TFLite
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
A platform for creating bots to play Clash Royale
The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .
基于TensorRT的C++高性能推理库,Yolov10, YoloPv2,Yolov5/7/X/8,RT-DETR,单目标跟踪OSTrack、LightTrack。
🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO
Implementation of yolo v10 in c++ std 17 over opencv and onnxruntime
Web-based real-time object detection for YOLO model.
A collection of some awesome public object detection and recognition datasets.
YOLOv10 C++ implementation using OpenVINO for efficient and accurate real-time object detection.
Add a description, image, and links to the yolov10 topic page so that developers can more easily learn about it.
To associate your repository with the yolov10 topic, visit your repo's landing page and select "manage topics."