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

Caffe: a fast open framework for deep learning.

⚡️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.

C++ library based on tensorrt integration

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

YOLO ROS: Real-Time Object Detection for ROS

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

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

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

Caffe implementation of multiple popular object detection frameworks

⚡️The spatial perception framework for rapidly building smart robots and spaces

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration

Real-time object detection on Android using the YOLO network with TensorFlow

NVIDIA Deep learning Dataset Synthesizer (NDDS)

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

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.