Add test to detect if changes lead to higher memory consumption

[matthiasschaub]

Using pytest-memray one can let a test fail if a certain memory limit is exceeded. I suggest adding such a limit to the detect markings test, in which all models are loaded and the ml-pipeline is executed. That way, we can detect an increase of memory consumption after updates to the pipeline or models.