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hub / github.com/black0017/MedicalZooPytorch / main

Function main

examples/train_iseg2019_new.py:16–34  ·  view source on GitHub ↗
()

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14
15
16def main():
17 args = get_arguments()
18
19 utils.reproducibility(args, seed)
20 utils.make_dirs(args.save)
21
22 training_generator, val_generator, full_volume, affine = medical_loaders.generate_datasets(args,
23 path='.././datasets')
24 model, optimizer = medzoo.create_model(args)
25 criterion = DiceLoss(classes=args.classes)
26
27 if args.cuda:
28 model = model.cuda()
29 print("Model transferred in GPU.....")
30
31 trainer = train.Trainer(args, model, criterion, optimizer, train_data_loader=training_generator,
32 valid_data_loader=val_generator, lr_scheduler=None)
33 print("START TRAINING...")
34 trainer.training()
35
36
37def get_arguments():

Callers 1

Calls 3

trainingMethod · 0.95
DiceLossClass · 0.90
get_argumentsFunction · 0.70

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