- Target generation and cluster protocols can be now parallelized using threads.
- The training and validation datasets can be both introduced manually or generated from the training dataset
specifying a fraction of data.
- Fixes in the tomogram/tomomask assignment in the segment and cluster protocols.
- Calling the DeepFinder viewer now offers an auxiliar window to previously select the tomogram to be displayed.
- Add a viewer for the learning curves generated in a training.
- The background class in now considered internally by Scipion when importing a model.
- Critical warning about the FOV value added to the target generation protocol.
- Beta status removed.
- Annotation protocol now allows to generate the output even though not all the tomograms have been annotated.
IMPORTANT: until some requested changes in the source code are carried out, the tomograms can only be annotated
once. Otherwise, its coordinates are lost.