Skip to main content

An interactive napari plugin for the ImageGrains software.

Project description

napari-imagegrains

License BSD-3 PyPI Python Version tests codecov napari hub

An interactive napari plugin for the ImageGrains software.


Installation

We recommend to install the plugin in an isolated environment as provided by conda. For conda create an appropriate environment with (do not use Python more recent than 3.11):

conda create -n napari-imagegrains -c conda-forge python=3.11 napari pyqt
conda activate napari-imagegrains
pip install napari-imagegrains

To install latest development version :

pip install git+https://github.com/guiwitz/napari-imagegrains.git

Or if you want to contribute to the plugin, fork the repository, clone it locally and install it in editable mode:

pip install -e .

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-imagegrains" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Authors

The original software ImageGrain was developed by David Mair, Institute of Geological Sciences, University of Bern. The current plugin, a user-interface for the ImageGrains software, was developed by Guillaume Witz and Michael Horn, Data Science Lab, University of Bern in collaboration with David Mair.

Citation

If you use this software, please cite the following publication: Mair, D., Witz, G., Do Prado, A.H., Garefalakis, P. & Schlunegger, F. (2023) Automated detecting, segmenting and measuring of grains in images of fluvial sediments: The potential for large and precise data from specialist deep learning models and transfer learning. Earth Surface Processes and Landforms, 1–18. https://doi.org/10.1002/esp.5755.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

napari_imagegrains-1.0.0.tar.gz (49.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

napari_imagegrains-1.0.0-py3-none-any.whl (37.0 kB view details)

Uploaded Python 3

File details

Details for the file napari_imagegrains-1.0.0.tar.gz.

File metadata

  • Download URL: napari_imagegrains-1.0.0.tar.gz
  • Upload date:
  • Size: 49.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for napari_imagegrains-1.0.0.tar.gz
Algorithm Hash digest
SHA256 b4be2395471b40173d1f0a71f77f2362de7d8ac318a827bce823df83bd8f5f43
MD5 59af913be00d4faf45d9a1adecb862f0
BLAKE2b-256 55c1c9ea6e6943a987a4027a4707dbcc9fe78937aa0e5ed99f2eeaea1ac3f0ae

See more details on using hashes here.

Provenance

The following attestation bundles were made for napari_imagegrains-1.0.0.tar.gz:

Publisher: test_and_deploy.yml on guiwitz/napari-imagegrains

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file napari_imagegrains-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for napari_imagegrains-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9923b9bc39f0968887c0efe0f5a4e2653161760f806897b5232f8314972142b5
MD5 28e4ca2002ab23a305c3dcf6d012a848
BLAKE2b-256 1d654a15f60e3ae853939c7267e8aa5978caebb33e587b88031f412d77af2ba9

See more details on using hashes here.

Provenance

The following attestation bundles were made for napari_imagegrains-1.0.0-py3-none-any.whl:

Publisher: test_and_deploy.yml on guiwitz/napari-imagegrains

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page