[general]
name=YOLOLens
qgisMinimumVersion=3.0
description=Automated planetary crater detection on TIF rasters using YOLOLens models.
about=YOLOLens brings deep learning to planetary geology. The plugin leverages PyTorch-based YOLOLens models to automatically scan, detect, and map impact craters from high-resolution .tif raster imagery, converting AI inference into GIS-ready vector layers.
version=0.1
author=Riccardo La Grassa
email=riccardo.lagrassa@inaf.it

tracker=https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin/issues
repository=https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin
# End of mandatory metadata

# Recommended items:

hasProcessingProvider=no
# Uncomment the following line and add your changelog:
# changelog=

# Tags are comma separated with spaces allowed
tags=python, raster, vector

homepage=https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin
category=Plugins
icon=icon.png
# experimental flag
experimental=False

# deprecated flag (applies to the whole plugin, not just a single version)
deprecated=False

# Since QGIS 3.8, a comma separated list of plugins to be installed
# (or upgraded) can be specified.
# Check the documentation for more information.
plugin_dependencies=qpip
python_requirements=pandas, geopandas, shapely, torch, torchvision

Category of the plugin: Raster, Vector, Database or Web
# category=

# If the plugin can run on QGIS Server.
server=False

