def _main():
"""Main script."""
args = default_config_parse(
default_config_path='settings/scripts/compute_embedded_space.yaml')
configure_logging_verbosity(verbose=args.verbose)
config = Config.build_from_yaml(args.config)
save_embedded_features(**config.config)
def _main():
"""Main script."""
args = default_config_parse(
default_config_path='settings/dataloader/KITTI.yaml')
config = Config.build_from_yaml(args.config)
configure_logging_verbosity(verbose=args.verbose)
save_labels_as_dataframe(**config.config)
def _main():
"""Main script."""
args = default_config_parse(
default_config_path='settings/scripts/compute_inference_list.yaml')
configure_logging_verbosity(verbose=args.verbose)
config = Config.build_from_yaml(args.config)
compute_inference_list(**config.config, verbose=args.verbose)
def _main():
"""Main script."""
args = default_config_parse(
default_config_path=
'settings/scripts/plot_class_distribution_in_dataset.yaml')
configure_logging_verbosity(verbose=args.verbose)
config = Config.build_from_yaml(args.config)
plot_class_distribution(**config.config)
def build_from_yaml(cls, config_path):
"""Build class instance from YAML.
Args:
config_path (str): Path to config file.
Returns:
Class instance
"""
config = Config.build_from_yaml(config_path=config_path)
return cls(**config.config)
def _main():
"""Main script."""
args = default_config_parse(default_config_path='settings/run.yaml')
configure_logging_verbosity(verbose=args.verbose)
config = Config.build_from_yaml(args.config)
_run_toolchain(config=config.config)