Ultralytics YOLO11 🚀
Implementation of popular deep learning networks with TensorRT network definition API
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Images to inference with no labeling (use foundation models to train supervised models).
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.
NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
🔥🔥🔥TensorRT for YOLOv8, YOLOv8-Pose, YOLOv8-Seg, YOLOv8-Cls, YOLOv7, YOLOv6, YOLOv5, YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
MetaSeg: Packaged version of the Segment Anything repository
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core,improvement research,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C
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