Giter Club home page Giter Club logo

pytorcheo's Introduction

Pytorch EO

Deep Learning for Earth Observation applications and research.

Installation

pip install pytorch-eo

Examples

Learn by doing with our examples.

Tutorials

Learn how to build with Pytorch EO with our tutorials.

Challenges

PytorchEO has been used in the following challenges:

  • EUROAVIA Mission: European Students Space Hackathon, 2021.
  • On Cloud N: Cloud Cover Detection Challenge (DrivenData, 2021).
  • Solar Panel Detection: Solar Panel Detection Using Sentinel-2 (Solafune, 2023).

Contributing

Read the CONTRIBUTING guide.

pytorcheo's People

Contributors

earthpulse avatar juansensio avatar rpitonak avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

pytorcheo's Issues

Common goals!

Hi earthpulse folks!

It looks we (mainly @adamjstewart, @isaaccorley and I) are working on a similar package to you all at https://github.com/microsoft/torchgeo. We're trying to implement a production quality package that includes dataloaders for common earth observation datasets (largely building off of @isaaccorley's massive effort at https://github.com/isaaccorley/torchrs), generic composable dataloaders for different types of remotely sensed imagery, and a pytorch lightning based training script for generating benchmark results / pretrained model weights. I was wondering if you all have any interest in contributing?

Best,
Caleb

Contributions

Hi,

First of all, I really wanted to thank you all for your efforts in this repo. It's super useful and amazing to see dataloaders for new/standard EO Datasets. And the fact that it uses PyTorch and PyTorch-Lightning just makes development so much easier!

I wanted to ask what were the guidelines for contributing? I really liked what you all did for EuroSat and I am interested in replicating that format for some other datasets. In particular I was thinking BigEarthNet as well as possible some open-source hyperspectral datasets.

Do you all plan to have some plans for contributions from the public?

Thanks again!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.