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class
TimeBasedCorrection
(name='TimeBasedCorrection')[source] -
calc_average
(data, key)[source]
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calculate_dark_field
(frame, data, frames, distance)[source]
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calculate_flat_field
(frame, data, frames, distance)[source]
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find_nearest_frames
(idx_list, value)[source] Find the index of the two entries that ‘value’ lies between in ‘idx_list’ and calculate the distance between each of them.
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get_max_frames
()[source]
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in_range
(data, flat)[source]
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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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