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

YOLOv8 using TensorRT accelerate !

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.

Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM

Perception and AI components for autonomous mobile robotics.

Robotics with GPU computing

Native WebRTC low-latency P2P video streaming on Raspberry Pi and NVIDIA Jetson with both hardware and software encoding support.

WebRTC Native Client Momo

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

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).

NVIDIA-accelerated 3D scene reconstruction and Nav2 local costmap provider using nvblox

Image processing software on GPU (Windows, Linux, ARM) for real time machine vision camera applications. Performance benchmarks and Glass-to-Glass time measurements. MIPI CSI cameras support. RAW2RGB processing on CUDA with 16-bit ISP. Software for Jetson.

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

Deep learned, NVIDIA-accelerated 3D object pose estimation

A C++ library that enables the use of Jetson's GPIOs

This is a DeepStream application to demonstrate a human pose estimation pipeline.

Sample projects for TensorRT in C++

NVIDIA-accelerated packages for arm motion planning and control

The AI sensor processing SDK for low latency streaming workflows

NVIDIA-accelerated, deep learned model support for image space object detection