Implementation of popular deep learning networks with TensorRT network definition API

🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉

⚡️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.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

C++ library based on tensorrt integration

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

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

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-YOLO: A high-performance, easy-to-use YOLO deployment toolkit for NVIDIA, powered by TensorRT plugins and CUDA Graph, supporting C++ and Python.

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

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

A c++ implementation of yolov5 and deepsort

A LibTorch inference implementation of the yolov5

A shared library of on-demand DeepStream Pipeline Services for Python and C/C++

用c++实现了yolov5使用openvino的部署

awesome AI models with NCNN, and how they were converted ✨✨✨

YOLOv5 ONNX Runtime C++ inference code.

分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1