Symbol detection in scheme using Computer Vision

Question

I am trying to detect electrical symbol in electrical scheme. Here I think 2 ways could be use:

• classical way with OpenCV, I tried re to recognise shape with opencv and python but some symbole are too complexe
• deep learning way: I tried with Mask-RCNN using a handmade dataset of symbol but nothing get really successful

Here is a really simple example of what I would like to do:

I think it could be easy to make a dataset of symbol but all symbol would be the same form and context of the image would not be represented.

How do you think I could handle this problem ?

Answer 1

QATM:Quality-Aware Template Matching For Deep Learning might be what you are looking for.

Original paper : https://arxiv.org/abs/1903.07254

And the following github contain an example with electric scheme: https://github.com/kamata1729/QATM_pytorch