mantidimaging.core.utility.data_containers module¶

class mantidimaging.core.utility.data_containers.Counts(value: 'numpy.ndarray')[source]¶

Bases: SingleValue

value: numpy.ndarray¶

class mantidimaging.core.utility.data_containers.Degrees(value: 'float')[source]¶

Bases: SingleValue

value: float¶

class mantidimaging.core.utility.data_containers.FILE_TYPES(value)[source]¶

Bases: Enum

An enumeration.

DARK_AFTER = ('Dark', 'After', 'images')¶

DARK_BEFORE = ('Dark', 'Before', 'images')¶

FLAT_AFTER = ('Flat', 'After', 'images')¶

FLAT_AFTER_LOG = ('Flat After Log', '', 'log')¶

FLAT_BEFORE = ('Flat', 'Before', 'images')¶

FLAT_BEFORE_LOG = ('Flat Before Log', '', 'log')¶

PROJ_180 = ('180 degree', '', '180')¶

SAMPLE = ('Sample', '', 'sample')¶

SAMPLE_LOG = ('Sample Log', '', 'log')¶

property fname: str¶

class mantidimaging.core.utility.data_containers.Indices(start, end, step)¶

Bases: tuple

end: int¶: Alias for field number 1

start: int¶: Alias for field number 0

step: int¶: Alias for field number 2

class mantidimaging.core.utility.data_containers.Micron(value: 'int')[source]¶

Bases: SingleValue

value: int¶

class mantidimaging.core.utility.data_containers.ProjectionAngles(value: 'numpy.ndarray')[source]¶

Bases: SingleValue

value: numpy.ndarray¶

class mantidimaging.core.utility.data_containers.ReconstructionParameters(algorithm: 'str', filter_name: 'str', num_iter: 'int' = 1, cor: 'Optional[ScalarCoR]' = None, tilt: 'Optional[Degrees]' = None, pixel_size: 'float' = 0.0, alpha: 'float' = 0.0, non_negative: 'bool' = False, max_projection_angle: 'float' = 360.0, beam_hardening_coefs: 'Optional[List[float]]' = None, stochastic: 'bool' = False, projections_per_subset: 'int' = 50)[source]¶