GitHub - CageEye/opencv-python-with-ffmpeg: Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

go to find_version.py and edit line 65

    f.write('opencv_version = "{}"\n'.format("4.6.0"))

(bump version you want to publish)

then

docker build --build-arg REPO_PWD=***** . -t opencv-build

docker run -it opencv-build  bash

Inside the container run

pip wheel . --verbose

This will produce whl file that you need to copy to your host machine via docker cp and publish with twine

Name		Name	Last commit message	Last commit date
Latest commit History 848 Commits
.github		.github
cv2		cv2
docker		docker
multibuild @ b89bb90		multibuild @ b89bb90
opencv @ dad2633		opencv @ dad2633
opencv_contrib @ 49e8f12		opencv_contrib @ 49e8f12
opencv_extra @ 37294e3		opencv_extra @ 37294e3
patches		patches
scripts		scripts
tests		tests
.gitignore		.gitignore
.gitmodules		.gitmodules
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
LICENSE-3RD-PARTY.txt		LICENSE-3RD-PARTY.txt
LICENSE.txt		LICENSE.txt
MANIFEST.in		MANIFEST.in
README.md		README.md
find_version.py		find_version.py
patch_auditwheel_whitelist.py		patch_auditwheel_whitelist.py
pyproject.toml		pyproject.toml
setup.py		setup.py
travis_config.sh		travis_config.sh
travis_multibuild_customize.sh		travis_multibuild_customize.sh
travis_osx_brew_cache.sh		travis_osx_brew_cache.sh

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