napari-conidie
A segmentation tool to get conidie and hyphe
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
This plugin is a use case for obtaining conidia and hyphae surface from images. This plugin is a private tool dedicated exclusively to the work of the QUASAV team.
Installation
This private tool cannot be found in the built-in napari. The installation therefore follows two steps:
1 - Install latest development version :
git clone https://github.com/hereariim/napari-conidie.git
Getting started
As prerequisite, user must have installed ilastik in its computer.
Before using the plugin, you must have two data:
- The ilastik model
- The compressed file contained your images structured as followed :
└── Compressed file
├── Folder1
│ ├── img0_1.jpg
│ ├── img0_2.jpg
│ ...
│ └── img0_n.jpg
│
├── Folder2
│ ├── img1_1.jpg
│ ├── img1_2.jpg
│ ...
│ └── img1_n.jpg
...
│
└── Foldern
├── imgn_1.jpg
├── imgn_2.jpg
...
└── imgn_n.jpg
Plugin
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 BSD-3 license, "napari-conidie" 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-conidie 1.0.2
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 | |
|---|---|---|---|---|
| napari_conidie-1.0.2.tar.gz | 12.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_conidie-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.6 kB
Release files / napari_conidie-1.0.2.tar.gz
| Download URL | napari_conidie-1.0.2.tar.gz |
|---|---|
| Size | 12.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a75348cf61834afd91b6b8c53e24a1c36f1e8906d8bba3136ea7ab73221e8f9e
|
|
BLAKE2b-256 checksum How to use checksums |
44c75c8ccceacd8f51ec6ef2f6968c8ed003f5e09e281fb4d1c646d370065506
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.19
|
Release files / napari_conidie-1.0.2-py3-none-any.whl
| Download URL | napari_conidie-1.0.2-py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
998bf5c210356750bcfa792d2fe1ebf6ee4e14bdd44b9c052d8efe5969e73fa3
|
|
BLAKE2b-256 checksum How to use checksums |
39065ab475d40ac655a02f148fe37517113779c56cb2678bc52dcdffd37997bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.19
|
Security for napari-conidie 1.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.