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Idea #1
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Yes, those ideas sound great! To create an input for the neural network, you do need a "standard" format for it. It might be easier to start with recognizing the resolution first - maybe not precisely resolution but line length (in bytes). For example: always treat the data as I suggest using The So the With that known, you can pass this data (with the "correct" width!) to another NN, where the format would be analyzed. Here I think it could be beneficial to try analyzing this as something like
Let's not think about this as "color recognition", but rather specific image distortion recognition (especially for formats using different BPP values). |
Just to make sure is our data compressed in any way ? |
No, the data is not compressed, it is always "raw", please take a look at the resources directory in raviewer, it contains some examples |
@tgorochowik
But we are not so sure about Neural Network capabilities in color recognition
Other option is to make one neural network to make it all but complexity of that solution may be too high
Let us know what you think ?
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