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Context: Many computer vision algorithms and ML models require an input in which the aspect ratio of the original image is preserved by scaling the image down equally along both axis and then pad the rest of the input space with black or white pixels. A good example of this is the image resize method in the Tensorflow framework https://www.tensorflow.org/api_docs/python/tf/image/resize
This adds an option called
preserveAspectRatio
to the resize method which when set to true applies this resizing for the input instead of performing any kind of cropping. Mirror and rotation operations still apply afterwards though