Project uses ~5000 cat images from a kaggle dataset found here
Given a target image, tile size and a image dataset in main.md the script will loop over the target image with a step size of tile size and get the best matching image from the dataset using either SSD or Averaging with SSD. Both methods yield different results so it's up the user to determine which is better for their needs.
left image : Original
middle image : Mosaic
right image : Mosaic with histogram matching for color correction
