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class
VoCentering
[source] -
executive_summary
()[source] 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
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fix_transport
()[source]
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get_max_frames
()[source]
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nOutput_datasets
()[source] The number of datasets created by the plugin
- Returns
Number of output datasets
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populate_meta_data
(key, value)[source]
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post_process
()[source] This method is called after the process function in the pipeline framework as a post-processing step. All processes will have finished performing the main processing at this stage.
- Parameters
exp (experiment class instance) – An experiment object, holding input and output datasets
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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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set_filter_padding
(in_data, out_data)[source] Should be overridden to define how wide the frame should be for each input data set
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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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