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import os
from data.pix2pix_dataset import Pix2pixDataset
from data.image_folder import make_dataset
class CityscapesDataset(Pix2pixDataset):
@staticmethod
def modify_commandline_options(parser, is_train):
parser = Pix2pixDataset.modify_commandline_options(parser, is_train)
parser.set_defaults(preprocess_mode='fixed')
parser.set_defaults(load_size=512)
parser.set_defaults(crop_size=512)
parser.set_defaults(display_winsize=512)
parser.set_defaults(label_nc=35)
parser.set_defaults(aspect_ratio=2.0)
parser.set_defaults(batchSize=16)
opt, _ = parser.parse_known_args()
if hasattr(opt, 'num_upsampling_layers'):
parser.set_defaults(num_upsampling_layers='more')
return parser
def get_paths(self, opt):
root = opt.croot
phase = 'val' if opt.phase == 'test' else 'train'
label_dir = os.path.join(root, 'gtFine', phase)
label_paths_all = make_dataset(label_dir, recursive=True)
label_paths = [p for p in label_paths_all if p.endswith('_labelIds.png')]
image_dir = os.path.join(root, 'leftImg8bit', phase)
image_paths = make_dataset(image_dir, recursive=True)
if not opt.no_instance:
instance_paths = [p for p in label_paths_all if p.endswith('_instanceIds.png')]
else:
instance_paths = []
return label_paths, image_paths, instance_paths
def paths_match(self, path1, path2):
name1 = os.path.basename(path1)
name2 = os.path.basename(path2)
# compare the first 3 components, [city]_[id1]_[id2]
return '_'.join(name1.split('_')[:3]) == \
'_'.join(name2.split('_')[:3])
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