Mobilenet Libraries

5 Components & Libraries

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Mobilenet Libraries

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

RaspberryPi3(Raspbian Stretch) or Ubuntu16.04/UbuntuMate + Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) ◯=HIGH, △=MEDIUM, ×=LOW 1.Execute t…

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

MobileNet-SSD + Neural Compute Stick + RaspberryPi3 / MultiStick(3 Stick / Hard Motion) ・RaspberryPi 3 + Raspbian Stretch ・Intel Movidius Neural Compute Stick　1 piece ・OpenCV 3.4.2 ・OpenGL ・numpy ・(U…

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

Automatic tagging of clothing in E-Commerce, Using Tensorflow and GCP. Classify the clothing products into various categories using Machine Learning.

Classify the clothing products into various categories using Machine Learning. From startups to small businesses right through to huge brands, there are a huge number of companies that can benefit fr…

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow + without Neural Compute Stick(NCS) 0.【Run in Ubuntu 16.04 environment】 Realsense D43…

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