| import yaml | |
| from PIL import Image | |
| from data.base_dataset import BaseDataset | |
| class CityScapes(BaseDataset): | |
| def __init__(self, path_list, config_file = "./dataset/CityScapes/cityscape.yaml", transform = None, | |
| data_set = 'val', seed=None, img_size=768, interpolation=Image.BILINEAR, color_pallete = 'city'): | |
| super().__init__(path_list, transform, data_set, seed, img_size, interpolation, color_pallete) | |
| with open(config_file, 'r') as stream: | |
| cityyaml = yaml.safe_load(stream) | |
| self.learning_map = cityyaml['learning_map'] | |
| self.masks = [ | |
| path.replace("/leftImg8bit/", "/gtFine/") | |
| .replace("_leftImg8bit.", "_gtFine_labelIds.") | |
| for path in self.imgs | |
| ] | |