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)