TorchGeo 0.3.1 Release Notes

This is a bugfix release. There are no new features or API changes with respect to the 0.3.0 release.

Dependencies

• pytorch-lightning: add 1.9 support (#697, #771)
• radiant-mlhub: 0.5 not yet supported (#711)
• segmentation-models-pytorch: add 0.3 support (#692)
• setuptools: add 65 support (#715, #753)
• torchvision: fix 0.12 pretrained model support (#761)

DataModules

• Fix rounding bugs in train/val/test split sizes (#675, #679, #736)

Datasets

• Fix rounding bugs leading to inconsistent image shapes in vector datasets (#674, #675, #679, #736)
• IDTReeS: fix (x, y) coordinate swap in boxes (#683, #684)
• IDTReeS: clip boxes to bounds of image (#684, #760)
• Sentinel-2: add support for files downloaded from USGS EarthExplorer (#505, #754)
• Sentinel-2: prevent dataset from loading bands at different resolutions (#754)
• Sentinel-2: support loading even when band B02 is not present (#754)

Samplers

• GridGeoSampler: adjust stride of last row/col to sample entire ROI (#431, #448, #630)

Transforms

• NDVI: fix computation, we were computing the negative (#713, #714)
• SWI: fix band names (#714)

Documentation

API docs:

• USAVars is a regression dataset (#699)

Tutorials:

• Use IntersectionDataset in sampler (#707)
• Custom Raster Datasets: complete overhaul with real data (#766, #772)
• Trainers: optional datasets required (#759)
• Transforms: replace cell magic with shell command (#756)
• Transforms: fix GPU usage (#763, #767)
• Clean up file names, execution counts, and output (#770)

Contributors

This release is thanks to the following contributors:

• @adamjstewart
• @ashnair1
• @calebrob6
• @isaaccorley
• @remtav
• @TCherici