def __init__(self,
data: np.ndarray,
origin: PointLocation = None,
expected_data_dims=None):
"""
:param origin: PointLocation
:param data: np.ndarray
"""
if origin is None:
origin = PointLocation(row=0, col=0)
if not isinstance(origin, PointLocation):
raise TypeError(
'BitmapBase "origin" argument must be "PointLocation" object!')
if not isinstance(data, np.ndarray):
raise TypeError(
'BitmapBase "data" argument must be numpy array object!')
data_dims = len(data.shape)
if expected_data_dims is not None and data_dims != expected_data_dims:
raise ValueError(
'BitmapBase "data" argument must be a {}-dimensional numpy array. '
+ 'Instead got {} dimensions'.format(expected_data_dims,
data_dims))
self._origin = origin.clone()
self._data = data.copy()
def __init__(self,
data: np.ndarray,
origin: PointLocation = None,
expected_data_dims=None,
sly_id=None,
class_id=None,
labeler_login=None,
updated_at=None,
created_at=None):
super().__init__(sly_id=sly_id,
class_id=class_id,
labeler_login=labeler_login,
updated_at=updated_at,
created_at=created_at)
"""
:param origin: PointLocation class object
:param data: np.ndarray
"""
if origin is None:
origin = PointLocation(row=0, col=0)
if not isinstance(origin, PointLocation):
raise TypeError(
'BitmapBase "origin" argument must be "PointLocation" object!')
if not isinstance(data, np.ndarray):
raise TypeError(
'BitmapBase "data" argument must be numpy array object!')
data_dims = len(data.shape)
if expected_data_dims is not None and data_dims != expected_data_dims:
raise ValueError(
'BitmapBase "data" argument must be a {}-dimensional numpy array. '
'Instead got {} dimensions'.format(expected_data_dims,
data_dims))
self._origin = origin.clone()
self._data = data.copy()