-
class
Pymca
[source] -
get_conf_path
()[source]
-
get_dummyhdf_path
()[source]
-
get_max_frames
()[source]
-
get_plugin_pattern
()[source]
-
nOutput_datasets
()[source] The number of datasets created by the plugin
- Returns
Number of output datasets
-
pre_process
()[source] This method is called immediately after base_pre_process().
-
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.
-
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).
-
setup_fit
(y)[source] takes a data shape and returns a fit-primed object
-