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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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