Learning-loop-node

Trainer Nodes
Features
- Add option to set an idle timeout via the environment variables (cf. [readme](https://github.com/zauberzeug/learning_loop_node))
Bug-fixes
- Fix bug in image download. This bug has led to new images not being downloaded correctly in some cases

Detector Nodes
Features
- Add API for model version control. A new REST API allows to control the update behavior of the AI model version (cf. [readme](https://github.com/zauberzeug/learning_loop_node?tab=readme-ov-file#changing-the-model-version))

Detector:
- make outbox use async posts to not block during uploads

Detector Node:
- Improved outbox behavior. The outbox now uploads images in batches to reduce the workload of the learning loop. If the upload fails, the batch is split until the problematic image can be identified (and deleted)

Trainer Node:
- Fixed wrong handling of SIO re-connection. On connection problems the Trainer node should reset the SIO connection, but there was a bug which is fixed in this version

What's Changed
* make type hints compatible with Python 3.8
* add actions for testing on Python 3.8

Detector Node:
- Add endpoint to enable/disable outbox

Trainer Node:
- Change error handling in training stages

Minor changes:
- We no longer automatically add the Camera-ID as Tag when auto uploading an image during detection.

Fix:
- Change Type hinting to support older python versions