Package with useful functions for BI-SVZ coursework
Project description
This repository contains Python library with useful helper functions for Machine vision and Image processing (BI-SVZ) coursework taught at FIT CTU. For more details, see main course page.
How to deploy a new version
This repository uses GitLab CI/CD Pipelines to deploy improutils package either to production or test PyPI.
Steps to release a new version to production PyPI
- Update version.py file with a new version number with respect to semantic versioning rules
- Commit your local changes
git commit -m "Add awesome AI feature"
- Create a tagged version based on version.py
git tag -a $(python3 setup.py --version)
- Push tag to origin
git push --tags
- Wait for the package to be deployed and then check new version at PyPI
Steps to release a new version to test PyPI
Almost same as above, but the push tag step must be skipped. Testing version is available at test PyPI.
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improutils-1.1.8.tar.gz
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