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Created with Raphaël 2.2.030Sep28222120191713121110985432130Aug232221207611Jul109432128Jun26242113107432129May282524228732130Apr2922212019181716854229Mar21191817161413118765128Feb27262422201916141312[pyproject] Add color logging; Provide version command[pyproject] Pin clapper; Remove pixi system-requirements (default is fine)[pyproject] Do not set MEDNET_DEVICE[detect] Implement prediction, evaluation and minimal testing[models.classify] Replace model_ft -> model[models] Fix setup of normalizer[tests.detect] Add basic dataset tests for detection module[helpers] Add generation of histograms for detection bit[data.segment.cxr8] Fixes mask loading[config.detect.data] Fix docs[data.segment.shenzhen] Do not need to crop image to mask[data.segment] Shape mask based on image as targets can change on inherited classes[tests.segment] Fix config-name for database checksStreamlined normalization setup/reload from checkpoint on modelsAddress normalizer usage and checkpointing to avoid runtime checks[doc] Remove unused referenceFix testsTraining for FasterRCNN is now running[data.classify,data.segment] Report number of classes on datamodule[tests.test_transforms] Test TV v2 API[pixi] Minor env update[config.detect.data] Add preliminary configurations[config] Add top-level module docstrings[models.detect] Add basic implementation for Faster R-CNN[models.segment] Log message improvements[models.classify] Fix alexnet pre-trained init; Log message improvements[data.detect.cxr8] Add database[data.detect] Fix multiple docstrings[tests.test_dataset] Fix import[data] add object detection databases for lung[data] Homogenize raw-data loaders[tests.classify.test_tbx11k] Fix bounding-box tests (closes #36)[doc] Remove optimizer_step from doc/extras; Better annotate exceptions (closes #3)Clean-up[pixi] Avoid main package on build/qa environmentsIncreased latest version to 1.2.1b0 [skip ci]Increased stable version to 1.2.0v1.2.0v1.2.0[doc] Fix documentation[scripts.train,scripts.experiment] Improve help messages[scripts.train,scripts.experiment] Allow loading initial weights (prior to training start) from models with different numbers of outputs