Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

⚡️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.

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

An open source tool to quantify the world

YOLOv8 using TensorRT accelerate !

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

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.

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

Perception and AI components for autonomous mobile robotics.

Real-time pose estimation accelerated with NVIDIA TensorRT

Robotics with GPU computing

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

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

WebRTC Native Client Momo

Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi

TensorFlow models accelerated with NVIDIA TensorRT

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).