Source: openslide-python Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille , Étienne Mollier Section: python Testsuite: autopkgtest-pkg-python Priority: optional Build-Depends: debhelper-compat (= 13), dh-sequence-python3, pybuild-plugin-pyproject, python3-all-dev, python3-pil, python3-pytest, python3-setuptools, libopenslide-dev Standards-Version: 4.7.0 Vcs-Browser: https://salsa.debian.org/med-team/openslide-python Vcs-Git: https://salsa.debian.org/med-team/openslide-python.git Homepage: https://openslide.org Rules-Requires-Root: no Package: python3-openslide Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends}, libopenslide0, python3-pil Recommends: python-openslide-examples Description: Python 3 wrapper for reading whole slide image files OpenSlide is a C library that provides a simple interface to read whole-slide images also known as virtual slides. . Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution. . This library currently supports: - Aperio (.svs, .tif) - Hamamatsu (.vms, .vmu, .ndpi) - Leica (.scn) - MIRAX (.mrxs) - Sakura (.svslide) - Trestle (.tif) - Generic tiled TIFF (.tif) . This package contains the Python 3 module needed to run OpenSlide applications. Package: python-openslide-examples Architecture: all Depends: ${misc:Depends}, python3-flask, libjs-jquery, python3-openslide Description: Python examples for python-openslide and python3-openslide OpenSlide is a C library that provides a simple interface to read whole-slide images also known as virtual slides. . Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution. . This library currently supports: - Aperio (.svs, .tif) - Hamamatsu (.vms, .vmu, .ndpi) - Leica (.scn) - MIRAX (.mrxs) - Sakura (.svslide) - Trestle (.tif) - Generic tiled TIFF (.tif) . This package contains the Python examples for OpenSlide Python bindings.