Uploaded byNaoto MATSUMOTO
UP Board AI Core Configuration memo
The document is a configuration memo detailing steps to set up AI processing on a UP Board using a Movidius NCS. It includes commands for system information retrieval, software installation, and running inference on image classification using the Inception V3 model. The output indicates the identification of an electric guitar and other categories with their respective confidence scores.
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UP Board AI Core Configuration memo
- 1. UP Board AIcore configuration memo 2018/05/24 SAKURA Internet, Inc. Research Center SR / Naoto MATSUMOTO (C) Copyright 1996-2017 SAKURA Internet Inc
- 2. UP Board AICore Configuration memo 2 # uname -sr; cat /etc/lsb-release Linux 4.4.0-116-generic DISTRIB_DESCRIPTION="Ubuntu 16.04.4 LTS" # lshw *-pci:1 *-usb description: USB controller product: FL1100 USB 3.0 Host Controller *-usbhost:1 *-usb UNCLAIMED description: Generic USB device product: Movidius MA2X5X vendor: Movidius Ltd. # git clone -b ncsdk2 http://github.com/Movidius/ncsdk && cd ncsdk && make install # export PYTHONPATH="${PYTHONPATH}:/opt/movidius/caffe/python" # cd /examples/tensorflow/inception_v3 # cat run.py image_filename = path_to_images + 'nps_electric_guitar.png' devices = mvnc.enumerate_devices() # python3 run.py Number of categories: 1001 Start download to NCS... ******************************************************************************* inception-v3 on NCS ******************************************************************************* 547 electric guitar 0.988281 403 acoustic guitar 0.00751877 715 pick, plectrum, plectron 0.0014801 421 banjo 0.000901222 820 stage 0.000654221 ******************************************************************************* Finished Copyright 2018 Up Board | All Rights Reserved