class CcpiDenoisingGpu3d

get_gpu_memory()

nClone_datasets()

The number of output datasets that have an clone - i.e. they take it in turns to be used as output in an iterative plugin.

nInput_datasets()

The number of datasets required as input to the plugin

Returns

Number of input datasets

nOutput_datasets()

The number of datasets created by the plugin

Returns

Number of output datasets

pre_process()

This method is called immediately after base_pre_process().

process_frames(data)

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.

set_filter_padding(**kwargs)

Should be overridden to define how wide the frame should be for each input data set

setup(**kwargs)

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).