Brain JS handling images for training

[sts-ryan-holton]

Summary

This is more of a question rather than a strict feature or bug. I'd like to build a machine learning model using Brain JS to recognise something in particular within an image and simply report back whether that item is there or not. I'm interested to find out how I would go about doing this...

• How would I convert the image into a format that Brain JS can understand?
• How would I set it up to learn from a bunch of images, for instance, where 100 images contain the item I'd like to notify me of, and 100 images don't contain it, so that I can build up a robust model.
• I know it might take some time (hopefully it would get faster and faster at predicting) but my image resolutions will be around 1280x720

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[sts-ryan-holton]

@robertleeplummerjr any update on this?

[Nelias]

@sts-ryan-holton I think your answer is here #352

[sts-ryan-holton]

@Nelias I did have a look at that issue and couldn't find any code examples.

[vorticalbox]

I haven't done much with NN and ML as don't have time with work, however, I believe the idea is that you convert the pictures into a fixed size e.g 64x64 pixels, convert them to greyscale (so that each pixel is a value of 0 (white) and 100 (black);

from there you can normalise to 0 -> 1 and then tag your data.