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transfer_model.py
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transfer_model.py
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import argparse
import os
from core import Transfer
from utils.project_utils import load_config, get_logger, get_devices, str2bool
parser = argparse.ArgumentParser(description='AneurysmSeg evaluation')
parser.add_argument('-c', '--config', type=str, required=False, default='default',
help='config name. default: \'default\'')
parser.add_argument('-n', '--exp_id', type=int, required=False, default=1,
help='to identify different exp ids.')
parser.add_argument('-d', '--device', type=str, required=False, default='0',
help='device id for cuda and \'cpu\' for cpu. can be multiple devices split by \',\'.')
parser.add_argument('-v', '--verbose', action='store_true',
help='whether to use verbose/debug logging level.')
args = parser.parse_args()
def save_model_adapted_to_input(config, exp_path, devices, logger, verbose):
transferor = Transfer(config, exp_path, devices, logger)
if verbose:
print(transferor.model)
transferor.adapt_model()
transferor.save_checkpoint()
if verbose:
print(transferor.model)
if __name__ == '__main__':
# torch.multiprocessing.set_start_method('spawn')
exp_path = os.path.join('exp', args.config.replace('transfer_', ''))
config = load_config(os.path.join('configs', args.config + '.yaml'))
exp_path = os.path.join(exp_path, str(args.exp_id))
logging_folder = os.path.join(exp_path, config.get('logging_folder')) \
if config.get('logging_folder') is not None else None
logger = get_logger('Task%sTransfer' % config['task'], logging_folder, args.verbose)
logger.debug('config loaded:\n%s', config)
devices = get_devices(args.device, logger)
logger.info('use device %s' % args.device)
try:
save_model_adapted_to_input(config, exp_path, devices, logger, args.verbose)
except Exception as e:
logger.exception(e)