def __init__(self, path, *args, **kwargs):
if isinstance(path, str):
path = Path('metadata', 'datasets', f'{path}.yaml')
assert path.exists()
super(DatasetMeta, self).__init__(path=path, *args, **kwargs)
if 'fs' not in self.meta:
logger.exception(
KeyError(f'The file {path} does not contain the key "fs"'))
self.inv_lookup = dict()
for task_name in self.meta['tasks'].keys():
task_label_file = metadata_path('tasks', f'{task_name}.yaml')
task_labels = load_yaml(task_label_file)
dataset_labels = self.meta['tasks'][task_name]['target_transform']
if not set(dataset_labels.keys()).issubset(task_labels.keys()):
logger.exception(
ValueError(
f'The following labels from dataset {path} are not accounted for in {task_label_file}: '
f'{set(dataset_labels.keys()).difference(task_labels.keys())}'
))
self.inv_lookup[task_name] = {
dataset_labels[kk]: kk
for kk, vv in dataset_labels.items()
}
def __init__(self, path, *args, **kwargs):
super(ModalityMeta, self).__init__(name=metadata_path('modality.yaml'),
*args,
**kwargs)
def __init__(self, path, *args, **kwargs):
super(PlacementMeta,
self).__init__(name=metadata_path('placement.yaml'),
*args,
**kwargs)
def __init__(self, path, *args, **kwargs):
super(LocalisationMeta,
self).__init__(path=metadata_path('tasks', 'localisation.yaml'),
*args,
**kwargs)
def __init__(self, path, *args, **kwargs):
super(HARMeta, self).__init__(path=metadata_path('tasks', 'har.yaml'),
*args,
**kwargs)
def __init__(self, path, *args, **kwargs):
super(LocalisationMeta, self).__init__(
path=metadata_path("tasks", "localisation.yaml"), *args, **kwargs
)
def __init__(self, path, *args, **kwargs):
super(HARMeta, self).__init__(path=metadata_path("tasks", "har.yaml"), *args, **kwargs)