Configilm

This version unifies the interface of all data-loading-related classes. It introduces the throughput test data set to test how fast your model actually is without having to wait for data loading.

There are fewer dependencies now in the base version of configilm.
The full version can still be installed with configilm[full] (which supports data modules etc.), and a smaller version can be installed with configilm[bigearthnet] (which adds support for lmdb reading of bigearthnet files).

By default, only the base version is installed which does not support all features in the .extra submodule.

_REMARK: make sure to use one of the python versions 3.9 - 3.11 to be able to install the right torch version._

This release adds fusion methods in general as well as their respective tests. No documentation of the methods is added yet.

This release fixes a bug in the RSVQA LR and HR dataloader that try to load inactive answers from the json files

This release changes the number of samples in the mock data to reduce the size of the package overall

This release adds more pre-defined data loaders including mock data to the library, extends the documentation and does minor restructuring of the code.

Added data sets:
- HRVQA
- RSVQA (LR)
- RSVQA (HR)