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class
PhaseUnwrapping
[source] -
backward_operator
(mat, window1)[source]
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double_image
(mat)[source]
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forward_operator
(mat, window)[source]
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make_window
(height, width)[source]
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nInput_datasets
()[source] The number of datasets required as input to the plugin
- Returns
Number of input datasets
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nOutput_datasets
()[source] The number of datasets created by the plugin
- Returns
Number of output datasets
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phase_unwrap_based_fft
(mat, window, window1)[source]
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phase_unwrap_iterative
(mat_wrap, window, window1, n_iter)[source]
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pre_process
()[source] This method is called immediately after base_pre_process().
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process_frames
(data)[source] 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.
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setup
()[source] 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).
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wrap_to_pi
(mat)[source]
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