v0.4.1
版本发布时间: 2023-04-12 05:52:27
microsoft/torchgeo最新发布版本:v0.6.1(2024-10-11 02:22:20)
TorchGeo 0.4.1 Release Notes
This is a bugfix release. There are no new features or API changes with respect to the 0.4.0 release.
Dependencies
Some dependencies have changed:
- nbmake: 1.3.3+ required now (#1124)
- omegaconf: now optional (#1214)
- pytorch-lightning: replaced with lightning (#1178, #1179)
- sphinx: 6+ not yet supported (#1144)
- tensorboard: now optional (#1214)
-
pip install torchgeo[all]
added, installs all optional dependencies (#1095)
Other dependencies now support newer versions:
- black: add 23 support (#1080)
- kornia: add 0.6.10 support (#1123)
- mypy: add 1 support (#1089)
- nbsphinx: add 0.9 support (#1173)
- pandas: add 2 support (#1216)
- pyvista: add 0.38 support (#1083)
- radiant-mlhub: add 0.5 support (#1102)
- scikit-image: add 0.20 support (#1153)
- setuptools: add 67 support (#1066)
- torch: add 2 support (#1177)
- torchvision: add 0.15 support (#1177)
Datamodules
- SeCo: fix transforms (#1166)
Datasets
Fixes for benchmark datasets:
- BigEarthNet: fix order of class labels (#1127)
- CDL: add checksum for 2022 mask (#1201)
- EuroSAT: fix SSL issue, redistribute on Hugging Face (#1065, #1072)
- FAIR1M: fix directory name (#1098, #1099)
- Landsat: better default bands (#1169)
- UC Merced: redistribute on Hugging Face (#1076)
- USAVars: fix class labels (#1138)
Fixes for base classes:
- RasterDataset: fix support for datasets where
all_bands
does not actually contain all bands (e.g., Landsat) (#1134, #1135) - RasterDataset: fix support for datasets where
all_bands
is not defined andseparate_files
is False (#1135) - RasterDataset: fix bug when
separate_files
and no date infilename_regex
(#1191) - RasterDataset: remove unnecessary glob (#1219)
- RasterDataset: better error message when no data found (#1193)
- IntersectionDataset: better error message when no overlap (#1192)
Models
There are several improvements to our new pre-trained weights:
- Add sha256 suffix for security (#1105)
- Add and improve normalizations (#1119, #1166)
Trainers
- BYOL: Fix image size to match ViT patch size (#1084)
- Fix support for loading ViT weights (#1049, #1084)
- Fix support for non-TensorBoardLogger (#1143, #1145)
Tests
A lot of work in this patch release went towards improving CI:
- Constrain dependencies to avoid CI hang (#1062)
- Codecov: use repository upload token (#1077)
- Cache pip installs (#1057)
- Cancel in-progress jobs on new commit (#1094) but not the labeler tasks (#1187)
- Test notebooks when they are modified (#1097)
- Speed up object detection tests (#1148)
- Fix tests on macOS arm64 (MPS support) (#1188)
- Properly test pre-trained model transforms (#1166)
- Speed up notebook tests (#665, #1124)
Documentation
- Update the example embedded in the README (#1211)
- Fix broken URLs throughout the documentation (#1125)
- Tutorial downloads are now much smaller and faster (#1124)
- Replace CSV with TensorBoard in Trainer tutorial (#1163, #1189)
- Fix version selection button (#1144)
Contributors
This release is thanks to the following contributors:
@adamjstewart @ashnair1 @bugraaldal @calebrob6 @isaaccorley @julien-blanchon @lucastao @nilsleh @SpontaneousDuck @TolgaAktas