napari-deepmeta
Mice lungs and metastases segmentation tool. This tool is a demo tool for DeepMeta network.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-deepmeta via pip:
pip install napari-deepmeta
To install latest development version :
pip install git+https://github.com/EdgarLefevre/napari-deepmeta.git
Usage
This plugin is designed to process your mouse MRI images with our dataset. It comes with a demo, including one of our test images.
By opening the deepmeta demo plugin, you will see an interface with one unique button, by clicking on it, it will load an image, run prediction and then draw the masks contours on each slice.
If you open the deepmeta plugin, you will see an interface with one button and 3 checkboxes. By checking the checkboxes, you add steps to the pipeline (enhance contrast, do postprocessing, segment metastases). Once everything is setup, just click on the button and wait (the waiting time depends on your computer performance.)
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the MIT license, "napari-deepmeta" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
1 maintainer
Metadata
1 maintainer
Release files for napari-deepmeta 2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| napari_deepmeta-2.1.tar.gz | 4.8 MB | Without provenance | Details for napari_deepmeta-2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| napari_deepmeta-2.1-py3-none-any.whl | Python 3 | none | any | Details for napari_deepmeta-2.1-py3-none-any.whl |
Total release size: 9.6 MB
Release files / napari_deepmeta-2.1.tar.gz
| Download URL | napari_deepmeta-2.1.tar.gz |
|---|---|
| Size | 4.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.10.5
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Release files / napari_deepmeta-2.1-py3-none-any.whl
| Download URL | napari_deepmeta-2.1-py3-none-any.whl |
|---|---|
| Size | 4.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.5
|
Security for napari-deepmeta 2.1
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