semvec/pypi-packages huggingface dataset:
thunderseg 1.0.0.dev26
A deep learning framwork focus on image segmentation

# Welcome to Thunderseg !
## This package is under development stage, you may find bugs and incomplete functions when using this package, feature may change during development. 
Thunderseg is an open-source software package developed on PyTorch and PyTorch Lightning frameworks. It is specifically designed to address deep learning-based image segmentation tasks within the domain of remote sensing.

The primary objective of Thunderseg is to integrate state-of-the-art image segmentation techniques while offering users an intuitive and streamlined workflow for performing image segmentation tasks.

Thunder seg can be install by:
```
conda env create -f https://raw.githubusercontent.com/jldz9/thunderseg/refs/heads/master/environment.yml
pip install thunderseg
```
We also offer docker image and devcontainer 

check [Documentation](https://jldz9.github.io/thunderseg/) for more install methods and usage
concerto 0.5.1
a light framework for machine learning project
Requires Python: >=3.10

# ODEON

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](LICENSE)


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 git@github.com: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 git@github.com:IGNF/odeon.git
  cd cd odeon/packaging
  conda(or mamba) env create -f package_env.yaml
  pip install -e .
  ```
picoreo 0.1
spatial diversity sampling for machine learning or statistical study applied to geographic domain
Requires Python: >=3.12

# Picoreo, a python library for geographical aware sampling

## Installation

### Install requirements

### From pip:

  ```bash
  pip install picoreo
  # or
  pip install picoreo==X.Y # for a specific version
  ```

<details>
  <summary>Other installation options</summary>

  #### From source:

  ```bash
  python setup.py install
  ```

  #### From source with symbolic links:

  ```bash
  pip install -e .
  ```

  #### From source using pip:

  ```bash
  pip install git+https://github.com/IGNF/picoreo
  ```

</details>