utils: tuning: libtuning: Implement math helpers
Implement math helpers for libtuning. This includes: - Average, a wrapper class for numpy averaging functions - Gradient, a class that represents gradients, for distributing and mapping - Smoothing, a wrapper class for cv2 smoothing functions Signed-off-by: Paul Elder <paul.elder@ideasonboard.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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utils/tuning/libtuning/average.py
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utils/tuning/libtuning/average.py
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# SPDX-License-Identifier: GPL-2.0-or-later
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#
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# Copyright (C) 2022, Paul Elder <paul.elder@ideasonboard.com>
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#
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# average.py - Wrapper for numpy averaging functions to enable duck-typing
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import numpy as np
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# @brief Wrapper for np averaging functions so that they can be duck-typed
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class Average(object):
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def __init__(self):
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pass
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def average(self, np_array):
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raise NotImplementedError
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class Mean(Average):
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def average(self, np_array):
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return np.mean(np_array)
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