napari-ufish
Deep learning-based FISH spot calling method. The napari plugin for U-FISH.
Links
TODO List
- Sample image
- Inference interface
- Inference parameters
- Load model from path
- Help information dialog
- Training interface
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-ufish via pip:
pip install napari-ufish
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-ufish" 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-ufish 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari-ufish-0.0.1.tar.gz | 444.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_ufish-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 887.2 kB
Release files / napari-ufish-0.0.1.tar.gz
| Download URL | napari-ufish-0.0.1.tar.gz |
|---|---|
| Size | 444.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
Release files / napari_ufish-0.0.1-py3-none-any.whl
| Download URL | napari_ufish-0.0.1-py3-none-any.whl |
|---|---|
| Size | 442.4 kB |
| 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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
