class DistortionCorrection

executive_summary()

Provide a summary to the user for the result of the plugin.

e.g.

• Warning, the sample may have shifted during data collection

• Filter operated normally

Returns

A list of string summaries

load_metadata_txt(file_path)

Load distortion coefficients from a text file. Order of the infor in the text file: xcenter ycenter factor_0 factor_1 factor_2 …

Parameters

file_path (str) – Path to the file

Returns

Tuple of (xcenter, ycenter, list_fact).

Return type

tuple of float and list of floats

pre_process()

This method is called immediately after base_pre_process().

process_frames(data)

This method is called after the plugin has been created by the pipeline framework and forms the main processing step

Parameters

data (list(np.array)) – A list of numpy arrays for each input dataset.

setup()

This method is first to be called after the plugin has been created. It determines input/output datasets and plugin specific dataset information such as the pattern (e.g. sinogram/projection).