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>
21 lines
500 B
Python
21 lines
500 B
Python
# SPDX-License-Identifier: GPL-2.0-or-later
|
|
#
|
|
# Copyright (C) 2022, Paul Elder <paul.elder@ideasonboard.com>
|
|
#
|
|
# average.py - Wrapper for numpy averaging functions to enable duck-typing
|
|
|
|
import numpy as np
|
|
|
|
|
|
# @brief Wrapper for np averaging functions so that they can be duck-typed
|
|
class Average(object):
|
|
def __init__(self):
|
|
pass
|
|
|
|
def average(self, np_array):
|
|
raise NotImplementedError
|
|
|
|
|
|
class Mean(Average):
|
|
def average(self, np_array):
|
|
return np.mean(np_array)
|