lazyslide.pp.score_tiles

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lazyslide.pp.score_tiles#

score_tiles(wsi, scorers=None, num_workers=1, pbar=True, tile_key='tiles')#

Score the tiles and filter the tiles based on their quality scores.

Deprecated since version 0.7.2.

Parameters:
wsiWSIData

The WSIData object to work on.

scorersScorer

The scorer object or a callable that takes in an image and returns a score. You can also pass in a string:

  • ‘focus’: A FocusLite scorer that will score the focus of the image

  • ‘contrast’: A Contrast scorer that will score the contrast of the image

  • ‘brightness’: A Brightness scorer that will score the brightness of the image

  • ‘redness’: A SplitRGB scorer that will score the redness of the image

num_workersint, default: 1

The number of workers to use.

pbarbool, default: True

Whether to show the progress bar or not.

tile_keystr, default: ‘tiles’

The key of the tiles in the shapes slot.

Returns:
None

Note

The scores will be added to the tiles | {tile_key} table in the WSIData object. The columns will be named after the scorers, e.g. redness, brightness.

Examples

>>> import lazyslide as zs
>>> wsi = zs.datasets.sample()
>>> zs.pp.find_tissues(wsi)
>>> zs.pp.tile_tissues(wsi, 256, mpp=0.5)
>>> zs.pp.score_tiles(wsi, scorers=["focus", "contrast"])
>>> zs.pl.tiles(wsi, color=["focus", "contrast"])
../../_images/lazyslide-pp-score_tiles-1.png
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