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import os |
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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 CityscapesDataset(Pix2pixDataset): |
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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='fixed') |
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parser.set_defaults(load_size=512) |
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parser.set_defaults(crop_size=512) |
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parser.set_defaults(display_winsize=512) |
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parser.set_defaults(label_nc=35) |
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parser.set_defaults(aspect_ratio=2.0) |
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parser.set_defaults(batchSize=16) |
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opt, _ = parser.parse_known_args() |
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if hasattr(opt, 'num_upsampling_layers'): |
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parser.set_defaults(num_upsampling_layers='more') |
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return parser |
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def get_paths(self, opt): |
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root = opt.croot |
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phase = 'val' if opt.phase == 'test' else 'train' |
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label_dir = os.path.join(root, 'gtFine', phase) |
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label_paths_all = make_dataset(label_dir, recursive=True) |
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label_paths = [p for p in label_paths_all if p.endswith('_labelIds.png')] |
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image_dir = os.path.join(root, 'leftImg8bit', phase) |
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image_paths = make_dataset(image_dir, recursive=True) |
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if not opt.no_instance: |
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instance_paths = [p for p in label_paths_all if p.endswith('_instanceIds.png')] |
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else: |
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instance_paths = [] |
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return label_paths, image_paths, instance_paths |
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def paths_match(self, path1, path2): |
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name1 = os.path.basename(path1) |
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name2 = os.path.basename(path2) |
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return '_'.join(name1.split('_')[:3]) == \ |
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'_'.join(name2.split('_')[:3]) |
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