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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