PIL - related: make a image tapestry (creates a HUGE image with sub-images are pixels)
- get a greyscale image A (could be color but would be trickier to match ...)
- get a bunch of random images (maybe from some sort of news feed?),crop/resize each to 100x100
- use PIL to convert each image to greyscale (or not) and get the average (representative) pixel value
- make sure you have an "average" image for each pixel color in image A
- stitch together a large image where each original pixel of image A is substituted by a 100x100 image with the same color (greyscale)
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