There are 2 repositories under movidius topic.
A GStreamer Deep Learning Inference Framework
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick
How to trick a Movidius sdk install so you can natively use the Movidius stick on your Macintosh
A ROS package to wrap openvino inference engine and get it working with Myriad and GPU
Intelligent Facial Recognition with Django Restful IoT on Raspberry Pi
Intel Neural Compute Stick 2 Running on RPI 3 with Threading
Managed Machine Learning Systems and Internet of Things Live Lesson
Wrapper package for OpenCV with Inference Engine python bindings.
Raspberry Pi Movidius Neural Compute Stick person detector installer
Movidius Neural Compute Stick V2.0 API Go bindings
An AI-based system to enable the broadcasting of amateur basketball with low resources
An example project using a tensorflow model and Movidius NCS to do object recognition RPI camera module stream
Analysys of edge computing resources for cubesats
Intelligence at the edge - Neural Networks on Embedded Devices
Train a Keras MNIST model for Movidius NCSDK2
USB WebCam - Raspberry Pi - Apache MXNet - Movidius - Apache NiFi - MiniFi
A base image build for the Movidius/Intel Compute stick
c# pinvoke binding layer for the NCAPIv2 Intel Movidius sdk
Capture RTSP streams from 4 different IP cameras in Raspberry PI 4 and perform a human detection using Intel NCS .
Get started with the Internet of Things with Intel® technologies and the IoT JumpWay PaaS.
convert keras model to intel IR with openvino and inference with intel NCS/NCS v2
Implementation of ML models with OpenVINO
realtime object detection using VOC dataset
Intent of this project is the rapid development of a neural network for image classification. Thanks to the use of framework like Keras this is possible by moving the first steps using refinement techniques starting from known models. There is discussion of the architecture of a USB commercial device, Intel Movidius neural compute stick, with low power consumption for neural network execution on SoC systems such as Raspberry. Finally, there are the problems and limitations that occurred during the development and distribution of the software implemented.
Build Intel ncsdk docker image for Raspberry Pi on x86 machine
EFM + MiNiFI + Electric + Sensehat + Movidius Intel + Java + Python + NiFi