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

Samples for TensorRT/Deepstream for Tesla & Jetson

Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and 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).

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

ASR/NLP/TTS deep learning inference library for NVIDIA Jetson using PyTorch and TensorRT

Face Recognition on NVIDIA Jetson (Nano) using TensorRT

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

NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

A TensorRT and C++ based deployment of ​​FoundationPose, which makes integration lightweight and efficient. Supports Jetson Orin. Adapted from nvidia_isaac_pose_esitimation.

Smart (Ai) Pothole Detector (By Jordan Bennett)

Run tensorrt yolov5 on Jetson devices, supports yolov5s, yolov5m, yolov5l, yolov5x.

Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier

jetson nano 部署 yolov5+TensorRT+Deepstream

Example of loading a Keras model into TensorRT C++ API

Object detection with SSD MobileNet v2 COCO model optimized with TensorRT on NVIDIA Jetson Nano built upon Jetson Inference of dusty-nv (https://github.com/dusty-nv/jetson-inference).

Docker image and wrapper for converting and inference YOLO-v5 model

A lightweight C++ implementation of YoloV8 running on NVIDIAs TensorRT engine

No description available

Jetson embedded platform-target deep learning inference acceleration framework with TensorRT

A multi-drone detection and tracking system using YOLOv5, TensorRT, Deep SORT and ROS deployed on Jetson Xavier NX

Detect, track and count cars and motorcycles using yolov8 and TensorRT in Jetson Nano

A demo using tensorRT on NVIDIA Jetson TX2 accelerating the Caffe model of AlexNet.

People detection, tracking, and counting. Deploy on NVIDIA Jetson nano with TensorRT.

Real-time 3D multi-person pose estimation demo on Jetson TX2 with TensorRT.

A cutlass cute implementation of headdim-64 flashattentionv2 TensorRT plugin for LightGlue. Run on Jetson Orin NX 8GB with TensorRT 8.5.2.

记录yolov5的TensorRT量化及推理代码，经实测可运行于Jetson平台

YOLOs-TRT is a header-only C++ library for running all YOLO models with all tasks with NVIDIA TensorRT on CUDA GPUs and Jetson. It features GPU preprocessing (letterbox/normalize/HWC→NCHW), CUDA Graph replay, FP16/INT8 support, and sub-2ms end-to-end latency with 530+fps.