2.0.3
Release Notes for Laypa Version 2.0.3
Date: 2024-4-25
Overview
New augmentations, and finally fixing training
New Features
- New Augmentations: Invert, JPEG compression, Noise, Hue
Enhancements
- Output used augments when testing:
datasets/augmentations.py
now shows the images as well as the used transformations. - Update some docs: Doc strings are updated
- Fix Edge size not set: Preprocessing of images using the older method of having one size length be the same for all images is now fixed. Training with
PREPROCESS.RESIZE.RESIZE_MODE longest_edge
orPREPROCESS.RESIZE.RESIZE_MODE shortest_edge
should work again. - Use np.uint8 wherever possible for Augmentations: For augmentations that don't require high precision use the unsigned integers in hopes of speeding up. May not produce the exact same numbers compared to the float32 version previously used.
Deprecations and Removals
- None
Known Issues
- Training broke due to typo: See 2.0.4 for fix
Docker Image
The Docker image for version 2.0.3 can be obtained using the following command:
docker pull loghi/docker.laypa:2.0.3
Contributors
- @stefanklut: All
Full Changelog: 2.0.2...2.0.3