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Object-Detection-and-Tracking
Object Detection and Multi-Object TrackingObject-Grasp-Detection-ROS
Real-time Object Grasp Detection ROS package for YOLODOPE-ROS-D435
Object 6DoF Pose Estimation for Assembly Robots Trained on Synthetic Data - ROS Kinetic/Melodic Using Intel® RealSense D435Computer-Vision-and-Robotics-Paper-List
International Conferences and Journal on Computer Vision / RoboticsUbuntu-Deep-Learning-Environment-Setup
Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/ä¸æ–‡æ–‡æ¡£FaceTracking-NCS-RPI3
Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO ToolkitSynthetic-Data-UE4
mask_rcnn_ros
video_demo
HeadPoseEstimation
SmartCar Head PoseEstimation using PyTorchNCS2-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/NCAPPZOOOpenVINO-Model
ai_grand_challenge_kr
NDDS_Dataset_Synthesizer
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