Metadata-Version: 2.1
Name: pytorch_eo
Version: 21.10.9
Summary: DL4EO
Home-page: https://github.com/earthpulse/pytorch_eo
Author: earthpulse
Author-email: it@earthpulse.es
License: MIT
Description: # Pytorch EO
        
        Deep Learning for Earth Observation applications and research.
        
        > 🚧 This project is in early development, so bugs and breaking changes are expected until we reach a stable version.
        
        ## Installation
        
        ```
        pip install pytorch-eo
        ```
        
        ## Examples
        
        Learn by doing with our [examples](https://github.com/earthpulse/pytorch_eo/tree/main/examples).
        
        ### Ready to use Datasets
        
        - [EuroSAT](https://github.com/phelber/EuroSAT)
        - [BigEarthNet](https://mlhub.earth/10.34911/rdnt.d2ce8i)
        - [LandCoverNet](http://bigearth.net/)
        
        ## Challenges
        
        PytorchEO has been used in the following challenges:
        
        - [EUROAVIA](./challenges/euroavia_hackathon_21) Mission: European Students Space Hackathon, 2021.
        
        <!-- ### Build your own Datasets
        
        Using SCAN you can annotate your own data and access it directly through Pytorch EO. -->
        
        <!-- ## Research
        
        Pytorch EO can be a useful tool for research:
        
        - Flexibility: build and experiment with new models for EO applications.
        - Reproducibility: use same data splits and random seeds to compare with others.
        
        See the [examples](https://github.com/earthpulse/pytorch_eo/tree/main/examples).
        
        ## Production
        
        Pytorch EO was built with production in mind from the beginning:
        
        - Optimize model for production.
        - Export models to torchscript.
        - Upload models to our Models Universe
        - Use models directly through SPAI
        
        See the [examples](https://github.com/earthpulse/pytorch_eo/tree/main/examples). -->
        
        <!-- ## Documentation
        
        Read our [docs](https://earthpulse.github.io/pytorch_eo/). -->
        
        ## Contributing
        
        Read the [CONTRIBUTING](https://github.com/earthpulse/pytorch_eo/blob/main/CONTRIBUTING.md) guide.
        
Keywords: deep learning,earth observation,neural networks,pytorch,pytorch lightning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
