YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

YOLO object detector for Movidius Neural Compute Stick (NCS)

OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.

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

Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL

Intel Neural Compute Stick 2 Running on RPI 3 with Threading

PANTONE®, RAL®, Dulux®, Copic®, NCS®, HKS® and Prismacolor® color palettes for Scribus, GIMP, AutoCAD, Inkscape, Krita & LibreOffice.

A fast stacked hourglass network for human pose estimation on OpenVino

Advanced driver-assistance system with Google Coral Edge TPU Dev Board / USB Accelerator, Intel Movidius NCS (neural compute stick), Myriad 2/X VPU, Gyrfalcon 2801 Neural Accelerator, NVIDIA Jetson Nano and Khadas VIM3

Train yolo-v2 with keras and Convert weights to Movidius NCS

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

The real-time object detecting autonomous robot. Create your own real-time object detection project using only a Raspberry Pi 3 B+ paired with an Intel Neural Compute Stick 2!

Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2

YOLOv3 on TensorFlow Core API and Edge Deployment Using the Intel's Neural Compute Stick Series

MIDI tools for nRF Connect SDK

Build Intel ncsdk docker image for Raspberry Pi on x86 machine

[1 FPS / CPU only] OpenVINO+ADAS+LattePandaAlpha. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+OpenCV3.4.3+PIL

Cisco NSO package to deploy VXLAN EVPN Services

GLSL-based audio visualiser from NCS videos on YouTube