v0.5.1
TorchGeo 0.5.1 Release Notes
This is a bugfix release. There are no new features or API changes with respect to the 0.5.0 release.
Datamodules
Datasets
- AGB Live Woody Biomass: update download link for dataset (#1679, #1713)
- EuroSAT: remove classes attribute and instead rely on
ImageFolder
classes (#1648, #1650) - OSCD: change image datatype be float instead of int (#1652, #1656)
- RESICS45: remove classes attribute and instead rely on
ImageFolder
classes (#1648, #1650) - UC Merced: fix plotting which expects images from dataset to be normalized already (#1712)
- UC Merced: remove classes attribute and instead rely on
ImageFolder
classes (#1648, #1650) - GeoDataset: check if the path points to a Virtual File System, to prevent error of looking and not finding the paths locally (#1605, #1612)
- GeoDatasets: consistent use of
paths
argument instead ofroot
inRuntimeError
of several datasets (#1704, #1717)
Trainers
- During logging, trainers were expecting a datamodule with plot functionality, which was preventing trainers from being used with custom Pytorch Dataloaders (#1703)
- Remove default callback configurations of trainers and leave it to user instead (#1640, #1641, #1642, #1645, #1647)
- Skip weights and augmentations when saving hparams, allowing these parameters to be changed (#1622, #1639, #1670)
Scripts
Tests
- Greatly reduce memory footprint of CI which was causing PR tests to fail (#1658)
- Copy testing csv file instead of downloading it for MapInWild dataset test (#1657)
- Fix
choco install unrar
in CI by using7zip
instead ofunrar
(#1697) - CI: use unique names for release caches (#1723)
Documentation
- README: update
SemanticSegmentationTask
example with arguments introduced in 0.5 (#1608) - README: add section on LightningCLI usage with torchgeo (#1626, #1628)
- README: add section on availability of pretrained weights in torchgeo (#1716)
- BioMassters: fix typo in docs' overview table of non-geo datasets (#1718)
- SSL4EO-L Benchmark: add dataset information to documentation (#1719)
Contributors
This release is thanks to the following contributors (in alphabetical order):
@adamjstewart
@ashnair1
@dylanrstewart
@kaybe20
@menglutao
@nilsleh
@pioneerHitesh
@robmarkcole