jamesdolezal/slideflow: Slideflow 1.0 - Official Public Release

1.0.1 Release Notes API Changes: improved neptune logging k-fold-preserved-site now requires an annotations header column for determining site, rather than reading characters 5:7 from the patient name. This can be passed via val_k_fold_header, which defaults to 'site' default img_format changed to jpg changed submitter_id -> patient as patient-level identifier in annotations files SFP -> P in actions.py train(hyperparameters=) -> train(params=) hyperparameters.json -> params.json Improvements: Faster tfrecord verification Normalizer strategy now logged as a hyperparameter Neptune API & workspace read automatically from environmental variables NEPTUNE_API_KEY and NEPTUNE_WORKSPACE Easier custom model training by passing the model class or function directly to ModelParams.model Adds TIFF EXIF reading improvements for reading MPP from certain files Blur detection quality control accessible via WSI.qc() (or by passing qc='blur' to extract_tiles()) Removed duplicate evaluation & predictions PyTorch multi-GPU support Numpy re-seeding each epoch to improve augmentation randomness Updated documentation Fixes: Fixes memory leak with tfrecord reading for PyTorch backend Known issues: Tile extraction may hang if num_workers >