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https://github.com/IGNF/odeon
ODEON is a task-agnostic framework for deep learning applied to remote sensing
https://github.com/IGNF/odeon
deep-learning earth-observation gis pytorch pytorch-lightning rasterio remote-sensing
Last synced: about 2 months ago
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ODEON is a task-agnostic framework for deep learning applied to remote sensing
- Host: GitHub
- URL: https://github.com/IGNF/odeon
- Owner: IGNF
- License: apache-2.0
- Created: 2022-06-23T15:41:27.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-03T14:41:59.000Z (2 months ago)
- Last Synced: 2024-05-08T04:10:39.922Z (about 2 months ago)
- Topics: deep-learning, earth-observation, gis, pytorch, pytorch-lightning, rasterio, remote-sensing
- Language: Python
- Homepage:
- Size: 98.8 MB
- Stars: 20
- Watchers: 8
- Forks: 3
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Lists
- awesome-stars - IGNF/odeon-landcover - ODEON stands for Object Delineation on Earth Observations with Neural network. It is a set of command-line tools performing semantic segmentation on remote sensing images (aerial and/or satellite). Th (HTML)
README
# ODEON
[](LICENCE)
English | [Francais](README_fr-FR.md)
## Why this name
ODEON stands for Object Delineation on Earth Observations with Neural network.
## What is the purpose of this library?
It used to be a set of command line tool for semantic segmentation,
it is now pivoting to an agnostic framework for deep learning applied to
GIS industry
## Installation
The new version is still in high development phase, but you can still
use the legacy version
### Installation requirements
As Gdal dependencies are presents we recommend to
install the dependencies via conda/mamba before installing the package:
#### Legacy version
```bash
git clone -b odeon-legacy [email protected]:IGNF/odeon.git
cd cd odeon
conda(or mamba) env create -f package_env.yml
pip install -e .
```
#### New version
```bash
git clone git:odeon-legacy [email protected]:IGNF/odeon.git
cd cd odeon/packaging
conda(or mamba) env create -f package_env.yaml
pip install -e .
```