Metadata-Version: 2.1
Name: orthoseg
Version: 0.6.1
Summary: Package to make it easier to segment orthophotos.
Home-page: https://github.com/orthoseg/orthoseg
Author: Pieter Roggemans
Author-email: pieter.roggemans@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.MD
Requires-Dist: gdown
Requires-Dist: geofileops<0.10,>=0.6
Requires-Dist: geopandas<1.1,>=0.12
Requires-Dist: matplotlib
Requires-Dist: numpy<2
Requires-Dist: owslib
Requires-Dist: pillow
Requires-Dist: pycron
Requires-Dist: pygeoops<0.5,>=0.2
Requires-Dist: rasterio
Requires-Dist: segmentation-models<1.1,>=1.0
Requires-Dist: shapely>=2
Requires-Dist: simplification
Requires-Dist: tensorflow<2.11,>=2.8

# Orthophoto segmentation

[![Actions Status](https://github.com/orthoseg/orthoseg/actions/workflows/tests.yml/badge.svg?branch=main)](https://github.com/orthoseg/orthoseg/actions?query=workflow%3ATests) 
[![PyPI version](https://img.shields.io/pypi/v/orthoseg.svg)](https://pypi.org/project/orthoseg)
[![DOI](https://zenodo.org/badge/147507046.svg)](https://zenodo.org/doi/10.5281/zenodo.10340584)

This project provides a procedure and software to make it easy to:
1. create a training dataset for a topic of your choice
2. train a neural network to segment orthophotos
3. run the segmentation on a larger area + vectorize the result
4. apply some basic postprocessing like dissolve,...

Only open source software is needed, eg. QGIS and tensorflow.

Installation and usage instructions can be found in the [orthoseg wiki](https://github.com/orthoseg/orthoseg/wiki)
