Python library for converting between deep-learning annotation formats.
Project description
Python library for converting between deep-learning annotation formats.
Changelog
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for wai.annotations.core-0.1.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ec071d8e1727bf953ff7c403daf24f50d3adda4f14eaa6466e928a99e93c49d0 |
|
MD5 | ef47650fd88437af68108dc12a824415 |
|
BLAKE2b-256 | 5c4852c8917d871329f7a683c49b3c388a46867b36f3de294e4a9921b62c39fd |