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nabu.io.detector_distortion

source module nabu.io.detector_distortion

Classes

  • DetectorDistortionBase — This is the basis class. A simple identity transformation which has the only merit to show how it works.Reimplement this function to have more parameters for other transformations

  • DetectorDistortionMapsXZ — This class implements the distortion correction from the knowledge of two arrays, map_x and map_z. Pixel (i,j) of the corrected image is obtained by interpolating the raw data at position ( map_z(i,j), map_x(i,j) ).

source class DetectorDistortionBase(detector_full_shape_vh=(0, 0))

This is the basis class. A simple identity transformation which has the only merit to show how it works.Reimplement this function to have more parameters for other transformations

Methods

source method DetectorDistortionBase.transform(source_data, do_full=False)

performs the transformation

source method DetectorDistortionBase.get_adapted_subregion(sub_region_xz)

source method DetectorDistortionBase.set_sub_region_transformation(target_sub_region=None)

must return a source sub_region. It sets internally an object (a practical implementation would be a sparse matrice) which can be reused in further applications of "transform" method for transforming the source sub_region data into the target sub_region

source method DetectorDistortionBase.set_full_transformation()

source method DetectorDistortionBase.get_actual_shapes_source_target()

source class DetectorDistortionMapsXZ(map_x, map_z)

Bases : DetectorDistortionBase

This class implements the distortion correction from the knowledge of two arrays, map_x and map_z. Pixel (i,j) of the corrected image is obtained by interpolating the raw data at position ( map_z(i,j), map_x(i,j) ).

Parameters

  • map_x : float 2D array

  • map_z : float 2D array