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) with as many layers as you wish.
Installation
These instructions assume that you already have conda installed.
First, download and extract a copy of odeon from repository. Then navigate to the root of the odeon directory in a terminal and run the following:
# Clone repository
git clone git@github.com:IGNF/odeon-landcover.git
or
git clone https://github.com/IGNF/odeon-landcover.git
or
download a release at tag github page https://github.com/IGNF/odeon-landcover/tags
# Go to the root project folder
cd odeon-landcover
# Install the environment
conda env create --file=environment.yml
# Activate the environment
conda activate odeon
# Install odeon in the environment
pip install .
Documentation
You can find the documentation of the project at https://odeon-landcover.readthedocs.io
Quickstart
Odeon toolkit is run through main command:
$ odeon
usage: odeon [-h] -c CONFIG [-v] {sample_grid,trainer}
odeon: error: the following arguments are required: tool, -c/--config
Each tool needs a specific JSON configuration file. Available schemas can be found in odeon/scripts/json_defaults
folder.
More information is available in docs
folder