Version 0.3.2

What's Changed

• Fixes logging errors during model creation by @OllyK in #29
• Relaxes torch dependency to include PyTorch 2 by @OllyK in #30

Full Changelog: v0.3.1...v0.3.2

Version 0.3.1

What's Changed

• Relaxes PyTorch and Albumentations dependency versions by @OllyK in #28

Full Changelog: v0.3.0...v0.3.1

Version 0.3.0

What's Changed

• Changes to allow specifying single axis for training and prediction if required by @OllyK in #26
• Adds PAN model architecture and four new encoder types by @OllyK in #27

Full Changelog: v0.2.8...v0.3.0

Version 0.2.8

What's Changed

• Sets maximum PyTorch version to 1.12.1. Resolves Windows and macOS conflict by @OllyK in #23
• Increases minimum dimensions for random volume in tests by @OllyK in #24
• Fixes regex to in datasets.py use a raw string by @OllyK in #25

Full Changelog: v0.2.7...v0.2.8

Version 0.2.7

This version of the software is the version reviewed for the paper submitted to the Journal of Open Source Software entitled: Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning Models

Version 0.2.6

What's Changed

• Adds more comments for API documentation by @OllyK in #9
• Adds contributing guidelines by @OllyK in #10
• Adds training data and a tutorial by @OllyK in #11
• Rationalises tests for pytorch-3dunet functions by @OllyK in #12

Full Changelog: v0.2.5...v0.2.6

Version 0.2.5

What's Changed

• Simplifies API for segmentation prediction by @OllyK in #7

Full Changelog: v0.2.4...v0.2.5

Version 0.2.4

v0.2.4

Bumps version to 0.2.4

Version 0.2.2

What's Changed

• Actions by @OllyK in #1
• Updates action add running tests on a weekly schedule by @OllyK in #2

Full Changelog: v0.2.1...v0.2.2

Version 0.2.1

v0.2.1

Bumps version to 0.2.1