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class
MtfDeconvolution[source] -
check_file_path(file_path)[source]
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get_citation_information()[source]
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get_conf_path()[source]
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load_image(file_path)[source] Load data from an image.
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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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psf_correction(mat, win, pad_width)[source]
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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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