Releases: NKI-AI/dlup
Releases · NKI-AI/dlup
v0.7.0
v0.6.1
What's Changed
- Annotation filter bugfix by @EricMarcus-ai in #246
New Contributors
- @EricMarcus-ai made their first contribution in #246
Full Changelog: v0.6.0...v0.6.1
v0.6.0
This release has performance and testing improvements. Backward incompatibility issues are not to be expected.
What's Changed
Full Changelog: v0.5.3...v0.6.0
v0.5.3
v0.5.2
What's Changed
Full Changelog: v0.5.1...v0.5.2
v0.5.1
v0.5.0
What's Changed
- Support multiclass in
convert_annotations
(#228) - Support colors and z_indices in Annotations (#228)
- Several performance improvements and bugfixes
Full Changelog: v0.3.38...v0.5.0
v0.4.0
Update with breaking changes
Next to several bugfixes, a major change is that the SlideImage
and the dataset classes now output a pyvips.Image
. For a simple fix, you can do the following:
pil_image = PIL.Image.fromarray(np.asarray(sample["image"]))
Note that calling np.asarray()
on the image returns the same data as was previously the case with PIL. This changes has led to several performance improvements
Bugfixes
- TiffWriter did not work properly when using a pyramid. This has now been fixed.
Full Changelog: v0.3.38...v0.4.0
v0.3.38
v0.3.37
What's Changed
- Implement mode in backends by @jonasteuwen in #207
- Enlarge scope of possible backends by @jonasteuwen in #219
- Implement Halo annotations @rharkes in #220
- Update github actions by @rharkes in #220
New Contributors
Full Changelog: v0.3.36...v0.3.37