OK so now numpy is the culprit (shipped unbound via ocrd) which had several deprecations expire with release of v1.24.0 that require changes to our codebase, e.g.
* The deprecation for the aliases np.object, np.bool, np.float, np.complex, np.str, and np.int is expired
* Ragged array creation will now always raise a ValueError unless dtype=object is passed.
See also here: https://numpy.org/devdocs/release/1.24.0-notes.html#expired-deprecations
Cap tensorflow version to <2.12.0 until we have time to adapt to the API changes such as e.g.
* Support for Python 3.11 has been added.
* Support for Python 3.7 has been removed.
See also https://github.com/tensorflow/tensorflow/releases/tag/v2.12.0.
eynollah requires at ocrd >= 2.22.0 for the resource resolving code,
otherwise it fails with an AttributeError. Fix this by bumping up the
requirement.
I bumped it to 2.23.3 so core *also* includes the latest model resource
for eynollah.
