DL4EO
Project 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
Make sure that you have the dependencies installed.
pip install pytorch-eo
Dependencies
Pytorch EO is built on top of:
Do you need to learn these libraries first ? NO! You can just get started with our examples and tutorials. However, if you plan to use Pytorch EO extensively and want to get the most out of it, you may have to become familiar with them.
Examples
Learn by doing with our examples.
Ready to use Datasets
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.
Production
Pytorch EO was built with production in mind from the beginning:
- Optimize model for production.
- Export models to torchscript.
See the examples.
Contributing
Read the CONTRIBUTING guide.
Release history Release notifications | RSS feed
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