class Inpainting

A plugin to apply 2D/3D inpainting technique to data. If there is a chunk of data missing or one needs to inpaint some data features.

U*param mask_range

mask for inpainting is set as a threhsold in a range. Default: [1.0,100].

U*param iterations

controls the smoothing level of the inpainted region. Default: 50.

U*param windowsize_half

half-size of the smoothing window. Default: 3.

U*param sigma

maximum value for the inpainted region. Default: 0.5.

U*param pattern

pattern to apply this to. Default: “SINOGRAM”.

get_plugin_pattern()

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

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.

setup()

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).