()
| 22 | |
| 23 | |
| 24 | def main(): |
| 25 | args = get_arguments() |
| 26 | utils.reproducibility(args, seed) |
| 27 | utils.make_dirs(args.save) |
| 28 | training_generator, val_generator, full_volume, affine = medical_loaders.generate_datasets(args, |
| 29 | path='.././datasets') |
| 30 | |
| 31 | model, optimizer = medzoo.create_model(args) |
| 32 | criterion = DiceLoss2D(classes=args.classes) |
| 33 | |
| 34 | if args.cuda: |
| 35 | model = model.cuda() |
| 36 | print("Model transferred in GPU.....") |
| 37 | |
| 38 | trainer = train.Trainer(args, model, criterion, optimizer, train_data_loader=training_generator, |
| 39 | valid_data_loader=val_generator, lr_scheduler=None) |
| 40 | print("START TRAINING...") |
| 41 | trainer.training() |
| 42 | |
| 43 | |
| 44 | def get_arguments(): |
no test coverage detected