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.
Installing on Windows in developer mode
This is discussed more in detail in installDevWin.md.
Running the tests
You must run the tests from the improutils_package
directory.
An example command for running the test may be as follows:
python tests\test_preprocessing.py
Note: running the test from the
tests
directory itself will result in errors
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