# This file contains metadata for your plugin.
# This file should be included when you package your plugin.

# Mandatory items:
[general]
name=Flai
qgisMinimumVersion=3.0
description=Provides GUI access to Flai’s Open Lidar Data Hub and local control over the Flai CLI for AI-powered geospatial classification.
version=1.0.2
author=Flai d.o.o
email=vid.tk@flai.ai

about=
    This QGIS plugin offers access to <b>Open Lidar Data Hub</b>, an expanding public repository of high-resolution lidar datasets available for exploration and download directly within QGIS.

    In addition, it integrates with the <b>Flai Processing Engine</b>, enabling you to run Flai’s pretrained AI classifiers on your own hardware via the Flai CLI. These classifiers support automatic object recognition across a wide range of aerial, mobile, and forestry use cases — including detection of <b>ground, buildings, power line wires, towers, bridges, tree trunks, fallen trees</b>, and more.

tracker=https://github.com/flai-ai/flai-qgis-plugin/issues
repository=https://github.com/flai-ai/flai-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=ai, deep learning, classification, segmentation, aerial mapping, forestry, bathymetry, biomasse, urban, vegetation, vector, raster, point cloud, lidar, open data, open lidar, linux, windows, macos

homepage=https://plugins.qgis.org/plugins/flai_cli_interface/
category=Plugins
icon=media/FLAI-sign-gradient-cropped.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=

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

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