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from data.pix2pix_dataset import Pix2pixDataset |
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from data.image_folder import make_dataset |
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class CustomDataset(Pix2pixDataset): |
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""" Dataset that loads images from directories |
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Use option --label_dir, --image_dir, --instance_dir to specify the directories. |
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The images in the directories are sorted in alphabetical order and paired in order. |
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""" |
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@staticmethod |
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def modify_commandline_options(parser, is_train): |
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parser = Pix2pixDataset.modify_commandline_options(parser, is_train) |
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parser.set_defaults(preprocess_mode='resize_and_crop') |
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load_size = 286 if is_train else 256 |
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parser.set_defaults(load_size=load_size) |
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parser.set_defaults(crop_size=256) |
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parser.set_defaults(display_winsize=256) |
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parser.set_defaults(label_nc=13) |
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parser.set_defaults(contain_dontcare_label=False) |
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parser.add_argument('--label_dir', type=str, required=True, |
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help='path to the directory that contains label images') |
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parser.add_argument('--image_dir', type=str, required=True, |
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help='path to the directory that contains photo images') |
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parser.add_argument('--instance_dir', type=str, default='', |
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help='path to the directory that contains instance maps. Leave black if not exists') |
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return parser |
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def get_paths(self, opt): |
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label_dir = opt.label_dir |
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label_paths = make_dataset(label_dir, recursive=False, read_cache=True) |
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image_dir = opt.image_dir |
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image_paths = make_dataset(image_dir, recursive=False, read_cache=True) |
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if len(opt.instance_dir) > 0: |
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instance_dir = opt.instance_dir |
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instance_paths = make_dataset(instance_dir, recursive=False, read_cache=True) |
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else: |
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instance_paths = [] |
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assert len(label_paths) == len(image_paths), "The #images in %s and %s do not match. Is there something wrong?" |
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return label_paths, image_paths, instance_paths |
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