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meteors

Package for Explanations of Remote Sensing Imagery

https://github.com/xai4space/meteors

Science Score: 26.0%

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    CITATION.cff file
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    Scientific vocabulary similarity
    Low similarity (18.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Package for Explanations of Remote Sensing Imagery

Basic Info
Statistics
  • Stars: 17
  • Watchers: 3
  • Forks: 1
  • Open Issues: 5
  • Releases: 7
Created about 2 years ago · Last pushed 12 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

README.md

Meteors

PyPI PyPI - License PyPI - Downloads GitHub star chart Open Issues Docs - GitHub.io codecov

Introduction

Meteors is an open-source package for creating explanations of hyperspectral and multispectral images. Developed primarily for Pytorch models, Meteors was inspired by the Captum library. Our goal is to provide not only the ability to create explanations for hyperspectral images but also to visualize them in a user-friendly way.

Please note that this package is still in the development phase, and we welcome any feedback and suggestions to help improve the library.

Meteors emerged from a research grant project between the Warsaw University of Technology research group MI2.ai and KP Labs, financially supported by the European Space Agency (ESA).

Target Audience

Meteors is designed for:

  • Researchers, data scientists, and developers who work with hyperspectral and multispectral images and want to understand the decisions made by their models.
  • Engineers who build models for production and want to troubleshoot through improved model interpretability.
  • Developers seeking to deliver better explanations to end users on why they're seeing specific content.

Installation

Requirements

  • Python >= 3.9
  • PyTorch >= 1.10
  • Captum >= 0.7.0
  • shap >=0.46.0

Install with pip:

bash pip install meteors

With conda: Coming soon

Documentation

Please refer to the documentation for more information on how to use Meteors.

Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

We use rye as our project and package management tool. To start developing, follow these steps:

bash curl -sSf https://rye.astral.sh/get | bash # Install Rye rye pin <python version >=3.9> # Pin the python version rye sync # Sync the environment

Before pushing your changes, please run the tests and the linter:

bash rye test rye run pre-commit run --all-files

For more information on how to contribute, please refer to our Contributing Guide.

Thank you for considering contributing to Meteors!

Contributors

Meteors contributors

Owner

  • Name: XAI4Space
  • Login: xai4space
  • Kind: organization

Collaboration between MI2.AI WUT with KPLabs and ESA

GitHub Events

Total
  • Create event: 54
  • Release event: 3
  • Issues event: 37
  • Watch event: 9
  • Delete event: 51
  • Member event: 1
  • Issue comment event: 71
  • Push event: 218
  • Pull request review comment event: 102
  • Pull request review event: 139
  • Pull request event: 92
Last Year
  • Create event: 54
  • Release event: 3
  • Issues event: 37
  • Watch event: 9
  • Delete event: 51
  • Member event: 1
  • Issue comment event: 71
  • Push event: 218
  • Pull request review comment event: 102
  • Pull request review event: 139
  • Pull request event: 92

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 31
  • Total pull requests: 71
  • Average time to close issues: 22 days
  • Average time to close pull requests: 10 days
  • Total issue authors: 2
  • Total pull request authors: 4
  • Average comments per issue: 0.06
  • Average comments per pull request: 1.25
  • Merged pull requests: 66
  • Bot issues: 0
  • Bot pull requests: 7
Past Year
  • Issues: 31
  • Pull requests: 71
  • Average time to close issues: 22 days
  • Average time to close pull requests: 10 days
  • Issue authors: 2
  • Pull request authors: 4
  • Average comments per issue: 0.06
  • Average comments per pull request: 1.25
  • Merged pull requests: 66
  • Bot issues: 0
  • Bot pull requests: 7
View more stats
Top Authors
Issue Authors
  • Fersoil (41)
  • WolodjaZ (26)
  • pbiecek (1)
Pull Request Authors
  • WolodjaZ (70)
  • Fersoil (62)
  • github-actions[bot] (14)
  • jnalepa (8)
  • pbiecek (1)
Top Labels
Issue Labels
enhancement (3) bug (1) enhancement :hammer: (1)
Pull Request Labels
documentation :books: (44) fix :medical_symbol: (39) enhancement :hammer: (36) chore :bellhop_bell: (14) documentation (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 35 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 7
  • Total maintainers: 1
pypi.org: meteors

Explanations of models for Hyperspectral data

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 35 Last month
Rankings
Dependent packages count: 10.3%
Average: 34.2%
Dependent repos count: 58.0%
Maintainers (1)
Fersoil
Last synced: 10 months ago