wsinfer.wsi#

Module Contents#

Classes#

CanReadRegion

Base class for protocol classes.

Functions#

set_backend(…)

get_avg_mpp(→ float)

Return the average MPP of a whole slide image.

Attributes#

logger

HAS_OPENSLIDE

HAS_TIFFSLIDE

WSI

WSI

wsinfer.wsi.logger[source]#
wsinfer.wsi.HAS_OPENSLIDE = True[source]#
wsinfer.wsi.HAS_TIFFSLIDE = True[source]#
wsinfer.wsi.set_backend(name: Literal[openslide]) type[openslide.OpenSlide][source]#
wsinfer.wsi.set_backend(name: Literal[tiffslide]) type[tiffslide.TiffSlide]
wsinfer.wsi.WSI: type[openslide.OpenSlide] | type[tiffslide.TiffSlide][source]#
wsinfer.wsi.WSI[source]#
class wsinfer.wsi.CanReadRegion[source]#

Bases: Protocol

Base class for protocol classes.

Protocol classes are defined as:

class Proto(Protocol):
    def meth(self) -> int:
        ...

Such classes are primarily used with static type checkers that recognize structural subtyping (static duck-typing), for example:

class C:
    def meth(self) -> int:
        return 0

def func(x: Proto) -> int:
    return x.meth()

func(C())  # Passes static type check

See PEP 544 for details. Protocol classes decorated with @typing.runtime_checkable act as simple-minded runtime protocols that check only the presence of given attributes, ignoring their type signatures. Protocol classes can be generic, they are defined as:

class GenProto(Protocol[T]):
    def meth(self) -> T:
        ...
read_region(location: tuple[int, int], level: int, size: tuple[int, int]) PIL.Image.Image[source]#
wsinfer.wsi.get_avg_mpp(slide_path: pathlib.Path | str) float[source]#

Return the average MPP of a whole slide image.

The value is in units of micrometers per pixel and is the average of the X and Y dimensions.

Raises:

CannotReadSpacing if the spacing cannot be read.