YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLOv8 using TensorRT accelerate !

🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

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

YOLOv8 TensorRT C++ Implementation

yolo model qat and deploy with deepstream&tensorrt

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

A c++ implementation of yolov5 and deepsort

TensorRT for Yolov3

This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.

Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.

TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例

C++ implementation of YOLOv11 using TensorRT API

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

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)

An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.

基于yolo-trt的穿越火线ai自瞄

This repository implements Yolo functionality using TensorRT and CUDA acceleration on Nvidia Jetson devices and the ROS framework.

A tensorrt implementation of yolov5: https://github.com/ultralytics/yolov5

A simple implementation of tensorrt yolov5 python/c++🔥

tensorrt int8 量化yolov5 onnx模型

This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.

基于SpringBoot+Docker+Cuda+Cudnn+Pythorch+Onnx+Tensorrt+Yolov8+ffmpeg+zlmediakit 的AI算法中台系统，本系统主要实现JAVA调用Python脚本的方式，实现在英伟达GPU上进行yolov8的onnx或tensorrt的推理运算，实现火灾烟雾等视频的识别，并将识别结果通过ffmpeg推流到zlmediakit流媒体服务器。

Got 100fps on TX2. Got 500fps on GeForce GTX 1660 Ti. If the project is useful to you, please Star it.

TensorRT int8 量化部署 yolov5s 模型，实测3.3ms一帧！