Image-dataset-converter-imgaug

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- switched from unmaintained imgaug to imgaug3 library (https://github.com/nsetzer/imgaug)

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- added `find-contours` filter for turning blobs in image segmentation annotations into object detection polygons.

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- added `change-grayscale` filter for change pixel values of grayscale images by a factor of fixed value
- added `clip-grayscale` filter for replacing pixel values that go below or above thresholds
- added `enhance` filter for enhancing brightness, contrast, color, sharpness

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- initial release



PyPi
====

Preparation:

* update all help files (`img-help -f markdown -o plugins -t "imgaug plugins" -i README.md -l INFO`)
* increment version in `setup.py`
* add new changelog section in `CHANGES.rst`
* align `DESCRIPTION.rst` with `README.md`
* commit/push all changes

Commands for releasing on pypi.org (requires twine >= 1.8.0):


find -name "*~" -delete
rm dist/*
python3 setup.py clean
python3 setup.py sdist
twine upload dist/*



Github
======

Steps:

* start new release (version: `vX.Y.Z`)
* enter release notes, i.e., significant changes since last release
* upload `image-dataset-converter-imgaug-X.Y.Z.tar.gz` previously generated with `setup.py`
* publish


image-dataset-converter-all
===========================

* increment minimum version to newly released one in `setup.py`
* add note to `CHANGES.rst`