Validate separate instances of label predictions manually
Project description
napari-validate-random-label-predictions
Validate separate instances of label predictions manually
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-validate-random-label-predictions via pip:
pip install napari-validate-random-label-predictions
To install latest development version :
pip install git+https://github.com/gatoniel/napari-validate-random-label-predictions.git
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-validate-random-label-predictions" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file napari-validate-random-label-predictions-0.0.1.tar.gz.
File metadata
- Download URL: napari-validate-random-label-predictions-0.0.1.tar.gz
- Upload date:
- Size: 10.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 11a3578ee936ae5414c6a8bbd92e42aa3395a2c6fafcd4886311031bc140ff9e |
|
| MD5 | e827bb32a619da3000288e502fa25ae8 |
|
| BLAKE2b-256 | b56bc4da589ee571770bfc094a79db6a166d1f8745e565e733c611743ca8368a |
File details
Details for the file napari_validate_random_label_predictions-0.0.1-py3-none-any.whl.
File metadata
- Download URL: napari_validate_random_label_predictions-0.0.1-py3-none-any.whl
- Upload date:
- Size: 7.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a53dede6da7f00838987a9e1d12bd757f7ded971cb7ae9bd998768933a86ae4e |
|
| MD5 | 085a5c9b6fecd786daf9701fc46deb4b |
|
| BLAKE2b-256 | 238380b25a705bb73fa5426cb296b9ae36393f5ed8bff80914990eacdc79f5d2 |
