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import os, sys
currentdir = os.path.dirname(os.path.realpath(__file__))
parentdir = os.path.dirname(currentdir)
sys.path.append(parentdir) # PYTHON > 3.3 does not allow relative referencing
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)
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