Releases: tand826/wsiprocess
Releases · tand826/wsiprocess
version 1.1.1
version 1.1.0
version 1.0
- mask can be resized of RAM is not enough
- wsiprocess.rule.Rule can take also as a dict
- the magnification setting is enabled
- result coordinations are saved as csv
- geojson styled annotation is enabled
- pytorch dataset helper implemented
- default output extension changed to jpg
- documentation page overhauled
version 0.9
- foreground extract function (annotation.make_foreground_mask) can take lambda functions
version 0.8
- Method name "none" is switched with "evaluation"
- verbose option is available for showing patching progress
wsiprocess evaluation sample.tiff --verbose # or -ve
- Backend is switched with openslide. If pyvips is set to be the backend in slide.py, wsiprocess handles WSIs with pyvips.
version 0.7
- only if --extract_foreground is set, wsiprocess extracts patches from the WSI
- translate dot annotation to a small bounding box
- wsiprocess can handle SlideRunner annotations (bnapora)
- wsiprocess can handle QuPath annotations
version 0.6
- Work with custom function for foreground estimation.
- Foreground class can be extracted from command line.
version 0.5
- FIxed find_bbs to find all the bounding boxes meeting the conditions.
- Dockerfile updated to run wsiprocess in a docker container.
- annotation.Annotation.make_foreground_mask can take custom thresholding functions.
- Examples in the README.md significantly changed.
- Installation for Linux updated.
version 0.4
- arguments of cli.py updated
- the order of "method" and "wsi" is switched
- mm is added; Annotation can make mask from the minimum and the maximum value.
- no_patches enabled, and extract_patches disabled; without setting any args about extracting patches, wsiprocess extracts patches.
- Annotation.from_image()
- Annotation can make mask from a image.
- Citation updated
version 0.3
Update
- added
wsiprocess.annotation.Annotation.from_image
to load mask data from image. - release added for DOI@zenodo