wai.annotations.core 0.1.6

Python library for converting between deep-learning annotation formats.

Python library for converting between deep-learning annotation formats.

Changelog

0.1.6 (2022-05-11)

• Image segmentation annotations received new label_images property that returns images per label (as a dictionary); moved from the ToLayerSegments conversion (wai.annotations.layersegments)

0.1.5 (2022-05-09)

• Added dataset readers that generate dummy datasets from images: from-images-ic, from-images-is, from-images-od

• Added dataset writers that just output the images from datasets: to-images-ic, to-images-is, to-images-od

0.1.4 (2021-11-11)

• Added ISP for discarding polygons that either have too few or too many points (polygon-discarder)

• Added –verbose flag to dimension-discarder ISP for outputting information when an annotation gets discarded.

0.1.3 (2021-06-22)

• Added cross-domain converter which reduces object-detection datasets to image classification by looking for single/majority objects/labels.

0.1.2 (2021-06-01)

• Added void output formats for each domain which discard the conversion results.

• Added option to LocalFilenameSource which tells it to write the files it reads to a list-file.

0.1.1 (2021-05-20)

• Fixed build.

0.1.0 (2021-05-20)

• Initial release after separation from wai.annotations main repo.