autoarray.inversion.mesh.mesh.RectangularBilinearAdaptImage#

class RectangularBilinearAdaptImage[source]#

Bases: RectangularRTUAdaptImage

A rectangular mesh of pixels used to reconstruct a source on a regular grid, with adaptive weighting driven by an external adapt image and the empirical rank-CDF transform.

The mesh geometry is fixed and defined by a 2D shape (total_y_pixels, total_x_pixels). Pixels are indexed in row-major order:

Index 0 corresponds to the top-left pixel.

Indices increase left-to-right across rows and top-to-bottom between rows.

Methods

`interpolator_from`	Mapper objects describe the mappings between pixels in the masked 2D data and the pixels in a pixelization, in both the data and source frames.
`mesh_weight_map_from`	The weight map the mesh adapts to, computed from the adapt image: clipped, raised to weight_power, floored at weight_floor and normalized to sum to 1.
`relocated_grid_from`	Relocates all coordinates of the input source_plane_data_grid that are outside of a border (which is defined by a grid of (y,x) coordinates) to the edge of this border.
`relocated_mesh_grid_from`	Relocates all coordinates of the input source_plane_mesh_grid that are outside of a border (which is defined by a grid of (y,x) coordinates) to the edge of this border.

Attributes

`interpolator_cls`
`interpolator_kwargs`	Extra keyword arguments interpolator_from forwards to interpolator_cls — the rank-CDF transform selector; the empirical rank CDF has no kernel hyperparameters.
`supports_split_regularization`	Whether this mesh supports "split" regularization schemes (e.g. `ConstantSplit`, `AdaptSplit`, `AdaptSplitZeroth`).
`zeroed_pixels`	Return the positive 1D pixel indices of the edge pixels in a rectangular mesh.

property interpolator_kwargs: dict#: Extra keyword arguments interpolator_from forwards to interpolator_cls — the rank-CDF transform selector; the empirical rank CDF has no kernel hyperparameters.