mantidimaging.core.rotation.data_model module¶

class mantidimaging.core.rotation.data_model.CorTiltDataModel[source]¶

Bases: object

Model for finding COR/Tilt from (slice index, centre of rotation) data points

add_point(idx=None, slice_idx=0, cor=0.0)[source]¶

property angle_in_degrees: mantidimaging.core.utility.data_containers.Degrees¶

clear_points()[source]¶

clear_results()[source]¶

property cor: mantidimaging.core.utility.data_containers.ScalarCoR¶

property cors¶

property empty¶

get_all_cors_from_regression(image_height) → List[mantidimaging.core.utility.data_containers.ScalarCoR][source]¶

Parameters: image_height – How many cors will be generated, this should be equal to the image height (i.e. number of sinograms that will be reconstructed)
Returns: List of cors for every slice of the image height

get_cor_from_regression(slice_idx) → float[source]¶

property gradient: mantidimaging.core.utility.data_containers.Slope¶

property has_results¶

iter_points() → Iterator[mantidimaging.core.rotation.data_model.Point][source]¶

linear_regression()[source]¶

property num_points¶

point(idx)[source]¶

populate_slice_indices(begin, end, count, cor=0.0)[source]¶

remove_point(idx)[source]¶

set_cor_at_slice(slice_idx: int, cor: float)[source]¶

set_point(idx, slice_idx: Optional[int] = None, cor: Optional[float] = None, reset_results=True)[source]¶

set_precalculated(cor: mantidimaging.core.utility.data_containers.ScalarCoR, tilt: mantidimaging.core.utility.data_containers.Degrees)[source]¶

property slices¶

sort_points()[source]¶

property stack_properties¶

class mantidimaging.core.rotation.data_model.Point(slice_index, cor)¶

Bases: tuple

cor: float¶: Alias for field number 1

slice_index: int¶: Alias for field number 0