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LattePanda Alpha + OpenVINO + "CPU (Core m3) vs NCS1 vs NCS2", Performance comparison

Hello everyone.
The "UNet" model did not work in NCSDK, but it worked in OpenVINO.
"UNet" is Semantic Segmentation model.
https://github.com/PINTO0309/TensorflowLite-UNet/raw/master/model/semanticsegmentation_frozen_person_32.pb

Interestingly, The CPU had better performance than "Neural Compute Stick" and "Neural Compute Stick 2".
For the moment, I do not feel utility value for NCS2.
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◆Japanese Article
Introducing Ubuntu 16.04 + OpenVINO to Latte Panda Alpha 864 (without OS included) and enjoying Semantic Segmentation with Neural Compute Stick and Neural Compute Stick 2

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