torchgeo
https://github.com/microsoft/torchgeo
Python
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
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- Issues
- Broadcast error on instance segmentation when some geoms aren't burnt on raster
- Avoid CenterCrop in data modules
- RasterDataset: add time series support
- PASTIS with SemanticSegmentationTask results in expected input[1, 610, 128, 128] to have 10 channels, but got 610 channels instead
- Return dict from SemanticSegmentationTask.predict_step
- Model Exporting (.pt2)
- Add Be The Change (BTC) model.
- Expose `keepdim` parameter for `torchgeo.transforms.indices`
- Dynamic Z-score normalisation and mixed resolution training for sensor agnostic models
- Assign spatial reference by Ground Control Points
- Docs
- Python not yet supported