Stars
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Lane Finding Project for Self-Driving Car ND
PyTorch implementation of the CortexNet predictive model
TensorFlow for NVIDIA Jetson, also include patch and script for building.
Scripts to install Caffe and dependencies on the NVIDIA Jetson TX1 Development Kit
A basic autonomous rover built on ROS Indigo and using Seeduino's Hercules base with an RPLIDAR 360 for mapping and an Nvidia Tegra TX1 for higher level robot functions.
This fork of the deep learning guide has been adapted to work with a variety of different inputs USB camera, GigEVision and RTP on the TX1 SoM. This is a a quick demonstrator and example for users …
a replication of Network in network in torch. original code : https://github.com/mavenlin/cuda-convnet
A shell script to visualize caffe training
Creates caffe lmdb from bunch of dirs with images. Clean-up, check, resize included
instructions and files to install caffe + pycaffe on Ubuntu 14.04 EC2 server CPU-only
This sample GUI application aims to provide a foundation for computer vision applications where real time camera streaming is required. It is built on top of CSE Live Stream Agent to benefit from C…