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>
This commit is contained in:
Paul Elder 2022-11-11 02:05:53 +09:00
parent 19dc8c28f6
commit db99d96663
3 changed files with 120 additions and 0 deletions

View file

@ -0,0 +1,21 @@
# 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)