yehengchen/Ubuntu-Deep-Learning-Environment-Setup

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yehengchen/Ubuntu-Deep-Learning-Environment-Setup

yehengchen

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Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档

Object-Detection-and-Tracking

Object Detection and Multi-Object Tracking

Object-Grasp-Detection-ROS

Real-time Object Grasp Detection ROS package for YOLO

DOPE-ROS-D435

Object 6DoF Pose Estimation for Assembly Robots Trained on Synthetic Data - ROS Kinetic/Melodic Using Intel® RealSense D435

Computer-Vision-and-Robotics-Paper-List

International Conferences and Journal on Computer Vision / Robotics

FaceTracking-NCS-RPI3

Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit

SmartCar

SmartCar - Real-time SmartCar System (Driver/Passenger) which included Face ID Recognition and Head Pose Estimation

Synthetic-Data-UE4

mask_rcnn_ros

video_demo

HeadPoseEstimation

SmartCar Head PoseEstimation using PyTorch

NCS2-OpenVINO

This guide is for developers who are interested in using the Intel® System Studio Eclipse*-based Integrated Development Environment (IDE) with the OpenVINO™ toolkit to develop Computer Vision and Deep Learning optimized applications.

NCS1-RPI

Intel® Neural Compute Stick Neural Compute Stick1 + Raspberry pi 3B NCSDK/NCAPPZOO

OpenVINO-Model

ai_grand_challenge_kr

NDDS_Dataset_Synthesizer