wai.annotations release 0.5.4

University of Waikato

A new release of wai.annotations is out now: 0.5.4

The introduction of image segmentation required more refactoring behind the scenes, which resulted in the 0.5.x release series.

Highlights since the 0.4.0 release:

MS COCO format can specify now labels to expect (in case subsets of the dataset do not have all labels present)
MS COCO format can now sort the determined labels to avoid ordering issues
MS COCO can write the discovered labels to a text file (comma-separated list)
Readers/writers no longer assume disk access
Macro support for simple command-line substitution
New image classification formats: subdir (used by Tensorflow image classification) and ADAMS (label of image present in report)
MS COCO/ROI/VGG object detection formats no longer write negative annotations
With the strip-annotations plugin, all annotations can be stripped during the conversion (e.g., for generating a dataset only consisting of images)
Image segmentation support: PNG with indexed palette for labels, PNG using blue channel for labels, layer-segments format which separates each label into a separate PNG (makes it easier to create subsets of labels)