- recipe omero-annotate-ai
OMERO integration for AI-powered image annotation and segmentation workflows
- Homepage:
https://github.com/Leiden-Cell-Observatory/omero_annotate_ai
- Documentation:
https://leiden-cell-observatory.github.io/omero_annotate_ai/
- License:
Apache-2.0
- Recipe:
Python package to support reproducible image annotation workflows for AI training using OMERO data repositories. Provides Jupyter widgets and tools for reproducible annotation, training, and inference using micro-SAM, Cellpose, and other AI models directly with OMERO datasets.
- package omero-annotate-ai¶
-
- Versions:
0.2.1-0- Depends:
on dask
>=2021.6.0on ezomero
>=3.1.0on imageio
>=2.9.0on ipykernel
on ipywidgets
>=7.6.0on keyring
>=23.0.0on micro_sam
>=1.7.0,<2on numpy
>=1.21.0,<2.0on opencv
>=4.5.0on pandas
>=1.3.0on pydantic
>=2.0.0on python
on pyyaml
>=6.0on tifffile
on typing-extensions
>=4.0.0on zeroc-ice
>=3.6.4,<3.7
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install omero-annotate-ai
to add into an existing workspace instead, run:
pixi add omero-annotate-ai
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install omero-annotate-ai
Alternatively, to install into a new environment, run:
conda create -n envname omero-annotate-ai
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/omero-annotate-ai:<tag>
(see omero-annotate-ai/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/omero-annotate-ai/README.html)