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.

🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

🔥🔥🔥 chuyên chú vu YOLOv5, YOLOv7, YOLOv8, YOLOv9 cải tiến mô hình, Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

PaddleSlim is an open-source library for deep model compression and architecture search.

NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

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

MetaSeg: Packaged version of the Segment Anything repository

tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

YOLOv3, YOLOv4, YOLOv5, YOLOv5-Lite, YOLOv6-v1, YOLOv6-v2, YOLOv7, YOLOX, YOLOX-Lite, PP-YOLOE, PP-PicoDet-Plus, YOLO-Fastest v2, FastestDet, YOLOv5-SPD, TensorRT, NCNN, Tengine, OpenVINO

🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

🚀 nhĩ đích YOLO bộ thự thần khí. TensorRT Plugin, CUDA Kernel, CUDA Graphs tam quản tề hạ, hưởng thụ thiểm điện bàn đích thôi lý tốc độ. | Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.

GUI for marking bounded boxes of objects in images for training neural network YOLO

🔄 A tool for object detection and image segmentation dataset format conversion.

Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7,YOLOv8) and StrongSORT with OSNet

💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

Samples code for world class Artificial Intelligence SoCs for computer vision applications.

☁️💡🎈 chuyên chú vu cải tiến YOLOv7, Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules