File size: 2,656 Bytes
d73173f 2ea7ce8 d73173f 2ea7ce8 d73173f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
from .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self, parser):
parser = BaseOptions.initialize(self, parser)
# '''
# python test.py --dataroot dataset/test_single --name apdrawinggan++_author --model test --use_resnet --netG resnet_9blocks --which_epoch 150 --how_many 1000 --gpu_ids 0 --gpu_ids_p 0 --imagefolder images-single
# '''
# opt.dataroot = 'dataset/test_single'
# opt.name = 'apdrawinggan++_author'
# opt.model = 'test'
# opt.use_resnet = True
# opt.netG = 'resnet_9blocks'
# opt.which_epoch = 150
# opt.how_many = 1000
# opt.gpu_ids = ''
# opt.gpu_ids_p = ''
# opt.imagefolder = 'images-single'
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')
parser.add_argument('--phase', type=str, default='test', help='train, val, test, etc')
parser.add_argument('--which_epoch', type=str, default='latest', help='which epoch to load? set to latest to use latest cached model')
parser.add_argument('--how_many', type=int, default=50, help='how many test images to run')
parser.add_argument('--test_continuity_loss', action='store_true', help='get continuity value in test')
parser.add_argument('--netG_line', type=str, default='unet_512', help='selects model to use for netG_line')
parser.add_argument('--save2', action='store_true', help='only save real_A and fake_B')
parser.add_argument('--imagefolder', type=str, default='images', help='subfolder to save images')
parser.add_argument('--pretrain', action='store_true', help='pretrain stage, no dt loss, no ae')
parser.set_defaults(model='test')
parser.set_defaults(dataroot='dataset/test_single')
parser.set_defaults(name='apdrawinggan++_author')
parser.set_defaults(use_resnet=True)
parser.set_defaults(netG='resnet_9blocks')
parser.set_defaults(which_epoch=150)
parser.set_defaults(how_many=1000)
parser.set_defaults(gpu_ids='-1')
parser.set_defaults(gpu_ids_p='-1')
parser.set_defaults(imagefolder='images-single')
# To avoid cropping, the loadSize should be the same as fineSize
parser.set_defaults(loadSize=parser.get_default('fineSize'))
self.isTrain = False
return parser
|