QLearn
Plugin ID: 3816
QLearn preforms automatic training of a neural network model on raster data
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QLearn is a plugin that allows you to train a UNet segmentation neural network architecture to segment and classify raster data. It can also use pretrained models to make predictions on raster data
Required Dependencies: torch and torchvision
Install with OSGeo4W Shell (pip3 install torch torchvision)
QGIS Integration: Train and use machine learning models without leaving QGIS
Automatic Data Preprocessing: Automatic alignment, rescaling, reclassifying, and normalization of rasters
Testing and Validation: Automatically splits datasets into training and evaluation sets and provides model evaluation metrics
Confidence Filtering: Optional filtering of predictions based on confidence levels
Multiband Support: Works with any number of input bands and output classes
| Version | QGIS >= | QGIS <= | Date | |||
|---|---|---|---|---|---|---|
| 1.0 | - | 3.26.2 | 3.99.0 | 128 | abialecki | 2025-04-07T04:56:13.990656+00:00 |
