[P] Elevate Your ML Testing with pytest-visual

I’ve developed a tool called [pytest-visual](https://github.com/kongaskristjan/pytest-visual), aiming to make ML code testing more efficient and meaningful. Traditional unit testing often misses visual and functional aspects of ML workflows such as data augmentation and model structures.

pytest-visual brings a visual layer to your unit testing, allowing you to not only verify that the code runs, but the outputs also make visual sense and meet expectations. It’s integrated into pytest, automatically highlighting changes in visualization outputs, and allowing for easier/more reproducible debugging …

code debugging highlighting highlights layer machinelearning organization pytest sense testing verification verify visual visualization visual layer