Sliding window processing of large images

[mzur]

MAIA disallows processing of images that are too large to fit into GPU memory. We could implement processing in a sliding window fashion (on smaller image crops, e.g. 4096x4096) if the image is too large. This could allow processing of tiled images or otherwise too large images and make #91 unnecessary.

Ideally, the sliding window should have an overlap so objects are not cut in half and missed. How to merge the detections in the overlap regions? Maybe a greedy method where any two detections with more than 25% (50%?) overlap are merged. In case of many overlapping annotations, those with the largest overlap are preferred.

This could be implemented entirely in Python, using pyvips to cut the images.

[mzur]

Could novelty detection be performed in a sliding window fashion, too? Otherwise, disable novelty detection if the volume contains too large images (see #91).