training/options/test_options.py

from .base_options import BaseOptions


class TestOptions(BaseOptions):
    def __init__(self):
        super(TestOptions, self).__init__()
        parser = self.parser
        parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.')
        parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.')
        parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images')
        #  Dropout and Batchnorm has different behavioir during training and test.
        parser.add_argument('--num_test', type=int, default=50, help='how many test images to run')

        parser.set_defaults(model='test')
        # To avoid cropping, the loadSize should be the same as fineSize
        parser.set_defaults(load_size=parser.get_default('fine_size'))
        self.is_train = False
        self.parser = parser