v0.19.1

What's Changed

• Fix silenced exception in Queue when using faulty transform by @Zhack47 in #1101

Other Changes

• Autoupdate pre-commit hooks by @pre-commit-ci in #1100

New Contributors

• @Zhack47 made their first contribution in #1101

Full Changelog: v0.19.0...v0.19.1

v0.19.0

What's Changed

• Remove support for Python 3.7 by @fepegar in #1099

Other Changes

• docs: add Zhack47 as a contributor for bug by @allcontributors in #1092
• Autoupdate pre-commit hooks by @pre-commit-ci in #1094
• Autoupdate pre-commit hooks by @pre-commit-ci in #1097

Full Changelog: v0.18.92...v0.19.0

v0.18.92

What's Changed

• Fix unloaded image affine not read after CopyAffine by @fepegar in #1072
• Fix custom reader not propagated when copying by @fepegar in #1091

Other Changes

• Autoupdate pre-commit hooks by @pre-commit-ci in #1074
• Autoupdate pre-commit hooks by @pre-commit-ci in #1076
• Autoupdate pre-commit hooks by @pre-commit-ci in #1077
• Autoupdate pre-commit hooks by @pre-commit-ci in #1090

Full Changelog: v0.18.91...v0.18.92

v0.18.91

What's Changed

• Warn if 'mean' padding mode is used for label maps by @fepegar in #1065

Other Changes

• Create flake8 config section by @fepegar in #1046
• Add black autoformatting by @fepegar in #1031
• Split CI workflows by @fepegar in #1047
• Add docformatter hook by @fepegar in #1048
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #1050
• docs: add sbdoherty as a contributor for doc by @allcontributors in #1060
• Fix mypy error from NiBabel by @fepegar in #1064
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #1066
• Use new codecov method to upload coverage by @fepegar in #1069

Full Changelog: v0.18.90...v0.18.91

v0.18.90

What's Changed

• Add support to unload images by @fepegar in #983

Other Changes

• Fix HistogramStandardization example by @vedal in #1022
• docs: add vedal as a contributor for doc by @allcontributors in #1041
• Add workflow to validate pull request title by @fepegar in #1042
• docs: add alabamagan as a contributor for bug by @allcontributors in #1043
• docs: add justusschock as a contributor for ideas, and review by @allcontributors in #1044
• Remove mypy config file by @fepegar in #1045

New Contributors

• @vedal made their first contribution in #1022

Full Changelog: v0.18.89...v0.18.90

v0.18.89

What's Changed

• Stop ignoring intensity transforms when computing inverse by @fepegar in #1039
• Add support to invert RescaleIntensity transform by @nicoloesch in #998

Other Changes

• docs: add nicoloesch as a contributor for code by @allcontributors in #1040

New Contributors

• @nicoloesch made their first contribution in #998

Full Changelog: v0.18.88...v0.18.89

v0.18.88

What's Changed

• Improve support for queue in distributed training by @hsyang1222 in #1021
• Remove Visible Human Project datasets by @fepegar in #1026
• Make subject parameter mandatory by @fepegar in #1029

Other Changes

• Disable Windows tests on Python 3.10 temporarily by @fepegar in #1024
• [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in #997
• Avoid duplicate CI runs by @fepegar in #1027
• Add support for Python 3.11 by @fepegar in #1008
• Stop ignoring import errors for mypy by @fepegar in #1028
• docs: add arthursw as a contributor for bug, and doc by @allcontributors in #1030
• Fix new mypy errors from nibabel by @fepegar in #1032
• Fix flake8 errors by @fepegar in #1036
• Try setting up workflow to run on PRs by @fepegar in #1037
• docs: add hsyang1222 as a contributor for code by @allcontributors in #1038

New Contributors

• @hsyang1222 made their first contribution in #1021

Full Changelog: v0.18.87...v0.18.88

TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

v0.18.0

Bump version: 0.17.57 → 0.18.0

Medical image preprocessing and augmentation tools for deep learning.

TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. Transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity or k-space motion artifacts.

Tools for medical image processing in deep learning and PyTorch

v0.14.2

Bump version: 0.14.1 → 0.14.2