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How to designate a place in an image selected by a neural network?
I heard there are ready-made examples of neural networks for image analysis, you can tell me, I only know about FANN.
But this is not the main question, please tell me how to select the desired area on the image selected by the neural network, for example, a face or punctured car wheels. Thank you!
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"But this is not the main question, please tell me how to select the desired area on the image selected by the neural network, for example, a face or punctured car wheels. Thank you!"
Google for "image object detection neural network" or similar.
For example - SSD (the one that "single shot multibox detector"). In general - for sure there is something better, it's just the first thing that came to mind. Here is an implementation example - https://github.com/rykov8/ssd_keras .
Also, EMNIP - RCNN. But, of course, I will not look for comparisons :-)
"FANN"
So this is not a network architecture, but a library for their implementation, isn't it?
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