class PhaseUnwrapping

backward_operator(mat, window1)

double_image(mat)

forward_operator(mat, window)

make_window(height, width)

nInput_datasets()

The number of datasets required as input to the plugin

Returns

Number of input datasets

nOutput_datasets()

The number of datasets created by the plugin

Returns

Number of output datasets

phase_unwrap_based_fft(mat, window, window1)

phase_unwrap_iterative(mat_wrap, window, window1, n_iter)

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).

wrap_to_pi(mat)