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Custom single object detector from scratch for Movidius

Hello dear community,

I have been working with Tensorflow, Caffe and Darknet in order to create a custom object detector which can run in the Movidius NCS.
So far, I have been unable to do it following different tutorials, export tools, etc.

Do you have any complete guide to achieve this?
My requirement is a very high precision on the single class detector. For example, with a tensorflow Faster R-CNN network, I was able to detect an object above 20 meters with a 96% of confidence, which is a very good scenario

I would appreciate your guidance here

Thanks in advance

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