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
pip install pytorch-eo
Examples
Learn by doing with our examples.
Ready to use Datasets
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).
Contributing
Read the CONTRIBUTING guide.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pytorch_eo-22.2.25.tar.gz
(27.1 MB
view details)
File details
Details for the file pytorch_eo-22.2.25.tar.gz.
File metadata
- Download URL: pytorch_eo-22.2.25.tar.gz
- Upload date:
- Size: 27.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
87f74b70814681518d13c08b729299793e4610c298091eebc5701659d6770ae7
|
|
| MD5 |
090240ad0df14e8d56c3e9a39fd37df2
|
|
| BLAKE2b-256 |
37c73ade751935778a683ade33a21e2451b909fb7f7e6b1e4ff2cd8dd57a7e5c
|
