How do I turn an image (200x200 Black and White photos) into a single list of 40,000 values using numpy? [closed] - numpy

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As the title says I have an image (well a bunch of images) and I want to turn it from a 200x200 image into a 1-D list of 40,000.

Try to flatten the image and convert it to list.
img.ravel().tolist()
A ndarray of shape Nx200x200 can be converted by reshaping
bunch_of_images.reshape(N, 40000)

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I(x, y, no of channels) is the image, and Fi(x, y, no of filters ) is the feature map at some layer 'i'.
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Should I normalize input data to normal distribution before fit it into RNN? If yes, why? At the moment almost all the columns are right shifted, so it's not a normal distribution at all.
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I'm trying to draw using finger on any image or any shape or inside a particular shape eg rectangle. How to do that
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