Python library for converting between deep-learning annotation formats.
Project description
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.
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