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class
MinAndMaxDeprecated
[source] -
circle_mask
(width, ratio)[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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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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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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