Skip to main content

☄️🛰️ 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

Install with pip:

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:

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:

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

Metadata

Release files for meteors 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for meteors 0.2.0
File Size Uploaded
meteors-0.2.0.tar.gz 19.6 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for meteors 0.2.0
File Interpreter ABI Platform
meteors-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 19.7 MB

Release files / meteors-0.2.0.tar.gz

Download URL meteors-0.2.0.tar.gz
Size 19.6 MB
Tags Source
SHA-256 checksum
How to use checksums
5b207839af60831e9ee0e29c684abc204de18a6c83c1a0fe5124fe14e735743b
BLAKE2b-256 checksum
How to use checksums
50716bb7fc00892c1c9ab5ec1e503cb337d79f96b32175fbaa08ba74202f4de8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.7

Release files / meteors-0.2.0-py3-none-any.whl

Download URL meteors-0.2.0-py3-none-any.whl
Size 79.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b756c30fb99551b88302289015d44358fddc7584ce40148722cd0ac2ea4d7b02
BLAKE2b-256 checksum
How to use checksums
954ec1327bc4962401d85841de23710cfc19af1f487085f7c5806b959ffe246d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.7

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page