| import os, sys |
| currentdir = os.path.dirname(os.path.realpath(__file__)) |
| parentdir = os.path.dirname(currentdir) |
| sys.path.append(parentdir) |
|
|
| import argparse |
| from datetime import datetime |
|
|
| TRAIN_DATASET = '/mnt/EncryptedData1/Users/javier/ext_datasets/COMET_dataset/OSLO_COMET_CT/Formatted_128x128x128/train' |
|
|
| err = list() |
|
|
| if __name__ == '__main__': |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--model', type=str, help='Path to the model file', required=True) |
| parser.add_argument('--dataset', type=str, help='Location of the training data', default=TRAIN_DATASET) |
| parser.add_argument('--validation', type=str, help='Location of the validation data', default=None) |
| parser.add_argument('--similarity', nargs='+', help='Similarity metric: mse, ncc, ssim', default=['ncc']) |
| parser.add_argument('--segmentation', nargs='+', help='Segmentation loss function: hd, dice', default=['dice']) |
| parser.add_argument('--output', type=str, help='Output directory', default=TRAIN_DATASET) |
| parser.add_argument('--gpu', type=str, help='GPU number', default='0') |
| parser.add_argument('--lr', type=float, help='Learning rate', default=1e-4) |
| parser.add_argument('--rw', type=float, help='Regularization weigh', default=5e-3) |
| parser.add_argument('--epochs', type=int, help='Max number of epochs', default=1000) |
| parser.add_argument('--name', type=str, default='COMET') |
| parser.add_argument('--uw', type=bool, default=False) |
| parser.add_argument('--freeze', nargs='+', help='What layers to freeze: INPUT, OUTPUT, ENCODER, DECODER, TOP, BOTTOM', default=None) |
| parser.add_argument('--epochs', default=1000) |
| parser.add_argument('--batch', default=16) |
| args = parser.parse_args() |
|
|
| print('TRAIN ' + args.dataset) |
|
|
| if args.uw: |
| from COMET.COMET_train_UW import launch_train |
| simil = args.similarity |
| segm = args.segmentation |
| output_folder = os.path.join(args.output, '{}_Lsim_{}__Lseg_{}'.format(args.name, '_'.join(simil), '_'.join(segm))) |
| else: |
| from COMET.COMET_train import launch_train |
| simil = args.similarity[0] |
| segm = args.segmentation[0] |
| output_folder = os.path.join(args.output, '{}_Lsim_{}__Lseg_{}'.format(args.name, simil, segm)) |
| output_folder = output_folder + '_' + datetime.now().strftime("%H%M%S-%d%m%Y") |
|
|
| if args.freeze is not None: |
| assert all(s in ['INPUT', 'OUTPUT', 'ENCODER', 'DECODER', 'TOP', 'BOTTOM'] for s in args.freeze),\ |
| 'Invalid option for "freeze". Expected one or several of: INPUT, OUTPUT, ENCODER, DECODER, TOP, BOTTOM' |
| args.freeze = list(set(args.freeze)) |
|
|
| launch_train(dataset_folder=args.dataset, |
| validation_folder=args.validation, |
| output_folder=output_folder, |
| gpu_num=args.gpu, |
| lr=args.lr, |
| rw=args.rw, |
| simil=simil, |
| segm=segm, |
| max_epochs=args.epochs, |
| model_file=args.model, |
| freeze_layers=args.freeze) |
|
|
