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Created with Raphaël 2.2.01Jul28Jun26242113107432129May282524228732130Apr2922212019181716854229Mar21191817161413118765128Feb272624222019161413129875229Jan242322191722Dec141319Sep518Aug17161514865432[doc] Fix doc building[libs.classification.config.models.cnn3d] Fix qa[3d-cnn/visceral] Adequate database and model to new-style datamodule/model[upload] Move common upload code to common lib[tests.segmentation] Add tests for view script[segmentation/engine/adabound] Fix typing[helpers/extract_hdf5_images] Update hdf5 dataset keys[segmentation] Apply augmentation transforms[segmentation.scripts] Add upload script[segmentation.data.typing] Define sample data as a TypedDict[common.engine.callbacks] Get lr from optimizer if no scheduler defined[models] Add support for learning rate schedulers[segmentation.engine.dumper] Fix sample indexing[models] Move repeated functions into specialized models[doc] Add new models to doc[models] Create specialized model per library[normalizer] Do not call to super().set_normalizer() as it was moved[typing] Redefine Sample type in each lib[datamodule] More generic sample size computation[doc] Update doc[tests] Update tests[common.database] Hotfix for database check command[segmentation.predict] Make prediction work with new samples[common] Hotfixes to make code work with both types of samples[segmentation.models] Update models to handle updated samples[segmentation.datamodule] Make sample() return two dicts[normalizer] Move normalizer out of common package and inside libs[libs.segmentation.scripts.evaluate] Implement 2nd. annotator analysis[libs.segmentation.engine.evaluator] Fix doc strings[libs.segmentation.scripts.evaluate] Major clean-up[libs.segmentation.scripts.evaluate] Fix unreachable code[libs.common.scripts.utils] Fix typing[various] Simplify testing, metadata saving, json data saving[tests.classification] Streamline testing[tests] Separate test output folders[libs.common.scripts.utils] Give more options to fix version warning[doc] Remove pandas dep[libs.segmentation.scripts.dump_annotations] Implement routine to dump annotations from an arbitrary datamodule[libs.segmentation.engine.predictor] Fix documentation[various] Use __name__ to obtain appropriate logger