Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick
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Updated
Jan 4, 2021 - Python
Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.
Intelligent Facial Recognition with Django Restful IoT on Raspberry Pi
Intel Neural Compute Stick 2 Running on RPI 3 with Threading
Benchmarking machine learning inferencing on embedded hardware.
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
Train yolo-v2 with keras and Convert weights to Movidius NCS
USB WebCam - Raspberry Pi - Apache MXNet - Movidius - Apache NiFi - MiniFi
Face detection, tracking, identification, and notification using the Intel Movidius Compute Stick, Raspberry Pi, and AWS
Challenge the marginal performance of YoloV2 + Neural Compute Stick + RaspberryPi YoloV2+Neural Compute Stick(NCS)+Raspberry Piの限界性能に挑戦
Capture RTSP streams from 4 different IP cameras in Raspberry PI 4 and perform a human detection using Intel NCS .
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 lo…
Strata NYC 2018 Material
Lightweight Computer Vision library for intergrating your machine learning models with your camera devices
YOLO object detector for Movidius Neural Compute Stick (NCS)
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