Releases: TheJacksonLaboratory/activelearning
Improved management of Label objects
This version fixes several bugs related to Label
objects management when interacting between other object managers.
Additionally, a ROI is defined for labels and not only image data. Before this, labels wouldn't match their input images because of the difference in scale.
Labels navigation buttons enabled
This version enables navigation buttons for labels, that were disabled at initialization and never enabled afterwards.
More improvement to cellpose module for fine tuning
This version requires cellpose>3.0.0,<=3.0.10
directly as optional dependency, instead of napari-cellpose
.
The pinned version exposes their train
module that enables fine tuning their models.
Other available pretrained models have been added to the selectable list of models for segmentation and fine tuning.
Improved cellpose model selection for fine tuning
This release integrates an improved pyproject.toml file for package installation, as well as a fix to a bug that prevented the selection of different models for cellpose after initialization.
First napari-activelearning plugin for testing published on pypi
This version publishes the napari-activelearning plugin in pypi.
First napari-activelearning plugin for testing
This verstion of napari-activelearning plugin is intended for testing.
It is encouraged to open issues as you find any bugs while using this tool.