mantidimaging.gui.windows.recon.model module

class mantidimaging.gui.windows.recon.model.ReconstructWindowModel(data_model: CorTiltPointQtModel)

Bases: object

auto_find_correlation(progress: Progress, use_projections: tuple[int, int] | None = None) → tuple[ScalarCoR, Degrees]

auto_find_minimisation_sqsum(slices: list[int], recon_params: ReconstructionParameters, progress: Progress) → list[float]

Automatically find the COR (Center of Rotation) by minimising the sum of squared differences.

Parameters:

• slices – Slice indices to be reconstructed

• recon_params – Reconstruction parameters

• progress – Progress reporter

property cors: ndarray

do_fit() → bool

find_initial_cor() → tuple[int, ScalarCoR]

static get_allowed_filters(alg_name: str) → list

get_cor_for_slice_from_regression() → ScalarCoR

get_me_a_cor(cor: ScalarCoR | None = None) → ScalarCoR

get_results() → tuple[ScalarCoR, Degrees, Slope]

get_slice_indices(num_cors: int) → tuple[int, ndarray]

property has_results: bool

property images

initial_select_data(images: ImageStack | None) → None

is_current_stack(uuid: uuid.UUID | None) → bool

property last_cor: ScalarCoR

static load_allowed_recon_kwargs() → dict[str, Any]

property num_points: int

property preview_projection_idx: int

property preview_slice_idx: int

reset_cor_model() → None

reset_selected_row() → None

run_full_recon(recon_params: ReconstructionParameters, progress: Progress) → ImageStack | None

run_preview_recon(slice_idx: int, recon_params: ReconstructionParameters, progress: Progress | None = None) → ImageStack | None

property selected_row: int

set_precalculated(cor: ScalarCoR, tilt: Degrees) → None

property slices: ndarray

stack_contains_nans() → bool

stack_contains_negative_values() → bool

stack_contains_zeroes() → bool

property stack_id: uuid.UUID | None

property tilt_angle: Degrees | None