# Autogenerated via: # python ~/code/watch/dev/maintain/mirror_package_geowatch.py from geowatch.tasks.invariants.change import parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, parser, main def __getattr__(key): import geowatch.tasks.invariants.change as mirror return getattr(mirror, key) def __dir__(): import geowatch.tasks.invariants.change as mirror return dir(mirror) if __name__ == '__main__': parser = ArgumentParser() ###train hyperparameters parser.add_argument('--max_epochs', type=int, default=50) parser.add_argument('--workers', type=int, default=8) parser.add_argument('--batch_size', type=int, default=64) parser.add_argument('--step_size', type=int, default=10) parser.add_argument('--lr_gamma', type=float, default=.1) parser.add_argument('--weight_decay', type=float, default=1e-5) parser.add_argument('--learning_rate', type=float, default=.0001) parser.add_argument('--save_dir', default='geowatch/tasks/invariants/logs') parser.add_argument('--gpus', type=int, default=1) parser.add_argument('--feature_dim', type=int, default=64) # parser.add_argument('--drop_rate', type=float, default=.2) ###head network parser.add_argument('--kernel_size', type=int, default=3) parser.add_argument('--dilation', type=int, default=1) ###dataset parser.add_argument('--trainset', type=str, help='Choose from: spacenet, onera, or kwcoco.', default='onera') parser.add_argument('--valset', type=str, help='Choose from: spacenet, onera, or kwcoco. If blank, valset will correspond to chosen trainset.', default='onera') parser.add_argument('--patch_size', type=int, default=128) parser.add_argument('--num_channels', type=int, default=10) ### kwcoco arguments parser.add_argument('--train_kwcoco', type=str, default='') parser.add_argument('--val_kwcoco', type=str, default='') parser.add_argument('--sensor', type=str, nargs='+', default=['S2', 'L8']) parser.add_argument('--bands', type=str, nargs='+', default=['shared']) ### spacenet arguments parser.add_argument('--remove_clouds', help='spacenet specific argument', action='store_true') parser.add_argument('--normalize_spacenet', help='spacenet specific argument', action='store_true') parser.add_argument('--check_val_every_n_epoch', type=int, default=5) ### pretraining arguments parser.add_argument('--pretrained_checkpoint', type=str, help='path to pretrained checkpoint. Leave blank for change detection training without pretraining.', default='') parser.add_argument('--pretrained_multihead', action='store_true', help='indicate if the pretrained checkpoint was trained in a multihead fashion') parser.add_argument('--pretrained_encoder_only', action='store_true') ### main argument parser.add_argument('--binary', action='store_true') parser.add_argument('--pos_class_weight', type=float, help='Weight on positive class for segmentation. Only used on binary labels.', default=10) parser.add_argument('--num_images', type=int, default=2) parser.add_argument('--num_attention_layers', type=int, default=4) parser.add_argument('--positional_encoding', action='store_true') parser.add_argument('--positional_encoding_mode', type=str, help='addition or concatenation', default='concatenation') parser.add_argument('--change', action='store_true') args = parser.parse_args() main(args)