Deepcell-toolbox

Latest version: v0.12.1

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0.6.2

Bugfixes

- Pin OpenCV <= 3.4.9.31 for wider Python support (52)

0.6.1

Bugfixes

- Speed up `erode_edges` by using `skimage.segementation.find_boundaries` (46).
- Add a `pyproject.toml` file to support installation on python < 3.6. (47).

0.6.0

Features
- Update `tile_image` and `untile_image` to blend overlapping tiles using spline interpolation (34)
- Reformatted multiplex postprocessing (42)
- Add `interior_axis` to `pixelwise` processing function to enable flexibility (43)
- Add `deep_watershed_3D` as well as tile/untile utilities for 3D (45)

Bugfixes
- Fix stochastic failures on `erode_edges` 3D test (41)

Breaking Changes
- Removed `contextmanager` workaround functions in favor of the `tmpdir` pytest fixture. (40)
- `pixelwise` processing function expects a batch dimension. (43)

0.5.0

Features

* Refactor phase_preprocess to histogram_normalization. (37)
* Replace keras-retinanet with compute_overlap.pyx (39)

Bugfixes

* Updated tiling to work with equal image and tile size. (36)

0.4.1

Bugfixes

* Fixed bug where `resize()` would swap the x and y axes (32).

0.4.0

Features

* Added `deep_watershed_mibi` post-processing function.
* Migrated metrics package from deepcell-tf.
* Update README with a logo and banner.

Bugfixes
* Removed useless `fgbg` reference in `deep_watershed`.
* Fix `resize` to handle label images without mangling labels.
* Fix `untile_image` dtype issue.
* Fix `tile_images` and `untile_images` for rectangular image sizes and small stride ratios.
* Cast all inputs to `phase_preprocessing` to `float32`.

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