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:
parent
19dc8c28f6
commit
db99d96663
3 changed files with 120 additions and 0 deletions
24
utils/tuning/libtuning/smoothing.py
Normal file
24
utils/tuning/libtuning/smoothing.py
Normal file
|
@ -0,0 +1,24 @@
|
|||
# SPDX-License-Identifier: GPL-2.0-or-later
|
||||
#
|
||||
# Copyright (C) 2022, Paul Elder <paul.elder@ideasonboard.com>
|
||||
#
|
||||
# smoothing.py - Wrapper for cv2 smoothing functions to enable duck-typing
|
||||
|
||||
import cv2
|
||||
|
||||
|
||||
# @brief Wrapper for cv2 smoothing functions so that they can be duck-typed
|
||||
class Smoothing(object):
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
def smoothing(self, src):
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
class MedianBlur(Smoothing):
|
||||
def __init__(self, ksize):
|
||||
self.ksize = ksize
|
||||
|
||||
def smoothing(self, src):
|
||||
return cv2.medianBlur(src.astype('float32'), self.ksize).astype('float64')
|
Loading…
Add table
Add a link
Reference in a new issue