napari-pssr
A plugin for training and applying pssr
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-pssr via pip:
pip install napari-pssr
Some libraries need to be updated to the most recent version to get all features. These will be updated once they are released on pypi
pip install git+https://github.com/bioimage-io/core-bioimage-io-python",
pip install git+https://github.com/funkey/gunpowder.git@patch-1.2.3",
To install latest development version :
pip install git+https://github.com/pattonw/napari-pssr.git
Model download
A sample model can be downloaded from https://github.com/pattonw/model-specs/tree/main/pssr. This model comes with some restrictive dependencies. To use follow these steps.
- install this plugin following the directions provided above
- install bioimageio.core via
pip install bioimageio.coreorconda install -c conda-forge bioimageio.core pip install fastai==1.0.55 tifffile libtiff czifile scikit-imagepip uninstall torch torchvision(may need multiple runs)conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=10.0 -c pytorchpip install pillow==6.1.0
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-pssr" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Metadata
Release files for napari-pssr 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| napari-pssr-0.1.tar.gz | 45.4 MB | Without provenance | Details for napari-pssr-0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| napari_pssr-0.1-py3-none-any.whl | Python 3 | none | any | Details for napari_pssr-0.1-py3-none-any.whl |
Total release size: 90.8 MB
Release files / napari-pssr-0.1.tar.gz
| Download URL | napari-pssr-0.1.tar.gz |
|---|---|
| Size | 45.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5c9681e7f7a35f0d00357fdb33ae08754687b467bbebd43f3787d14e77d67f5c
|
|
BLAKE2b-256 checksum How to use checksums |
34da441a0acff6398f6ee0ca2b74b8c85ff2d46be18ae0c6bd3a81a552b83c2a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.0
|
Release files / napari_pssr-0.1-py3-none-any.whl
| Download URL | napari_pssr-0.1-py3-none-any.whl |
|---|---|
| Size | 45.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4db26e0dbb01776711446922bc80ef11a445a9d6736234b07be392b49c2550e2
|
|
BLAKE2b-256 checksum How to use checksums |
c67b608e0a1ae7c680015541ea7422c321a3c5affa7628570c598a5d06e7fdd8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.0
|
Security for napari-pssr 0.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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