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from .base_options import BaseOptions |
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class TestOptions(BaseOptions): |
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def initialize(self, parser): |
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parser = BaseOptions.initialize(self, parser) |
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parser.add_argument('--ntest', type=int, default=float("inf"), help='# of test examples.') |
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parser.add_argument('--results_dir', type=str, default='./results/', help='saves results here.') |
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parser.add_argument('--aspect_ratio', type=float, default=1.0, help='aspect ratio of result images') |
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parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc') |
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parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model') |
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parser.add_argument('--how_many', type=int, default=50, help='how many test images to run') |
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parser.add_argument('--test_continuity_loss', action='store_true', help='get continuity value in test') |
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parser.add_argument('--netG_line', type=str, default='unet_512', help='selects model to use for netG_line') |
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parser.add_argument('--save2', action='store_true', help='only save real_A and fake_B') |
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parser.add_argument('--imagefolder', type=str, default='images', help='subfolder to save images') |
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parser.add_argument('--pretrain', action='store_true', help='pretrain stage, no dt loss, no ae') |
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parser.set_defaults(model='test') |
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parser.set_defaults(loadSize=parser.get_default('fineSize')) |
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self.isTrain = False |
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return parser |
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