Added memmap for tiles#740
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kuang-da wants to merge 1 commit intovanvalenlab:masterfrom
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What
This PR introduces memory-mapped arrays (np.memmap) to the tile prediction step in Model._run_model. The tiles are temporarily stored on disk instead of being held in RAM during processing.
Why
When dealing with large images, storing all tiles in memory after
_tile_input()can lead to high RAM usage, causing crashes or out-of-memory errors. Using np.memmap significantly reduces memory load by writing tile data to disk and reading it as needed, enabling the model to process larger images more efficiently.