1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
|
/*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software Foundation,
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*
* Copyright 2011, Blender Foundation.
*/
#include "COM_CalculateMeanOperation.h"
#include "BLI_math.h"
#include "BLI_utildefines.h"
#include "IMB_colormanagement.h"
CalculateMeanOperation::CalculateMeanOperation()
{
this->addInputSocket(COM_DT_COLOR, COM_SC_NO_RESIZE);
this->addOutputSocket(COM_DT_VALUE);
this->m_imageReader = nullptr;
this->m_iscalculated = false;
this->m_setting = 1;
this->setComplex(true);
}
void CalculateMeanOperation::initExecution()
{
this->m_imageReader = this->getInputSocketReader(0);
this->m_iscalculated = false;
NodeOperation::initMutex();
}
void CalculateMeanOperation::executePixel(float output[4], int /*x*/, int /*y*/, void * /*data*/)
{
output[0] = this->m_result;
}
void CalculateMeanOperation::deinitExecution()
{
this->m_imageReader = nullptr;
NodeOperation::deinitMutex();
}
bool CalculateMeanOperation::determineDependingAreaOfInterest(rcti * /*input*/,
ReadBufferOperation *readOperation,
rcti *output)
{
rcti imageInput;
if (this->m_iscalculated) {
return false;
}
NodeOperation *operation = getInputOperation(0);
imageInput.xmax = operation->getWidth();
imageInput.xmin = 0;
imageInput.ymax = operation->getHeight();
imageInput.ymin = 0;
if (operation->determineDependingAreaOfInterest(&imageInput, readOperation, output)) {
return true;
}
return false;
}
void *CalculateMeanOperation::initializeTileData(rcti *rect)
{
lockMutex();
if (!this->m_iscalculated) {
MemoryBuffer *tile = (MemoryBuffer *)this->m_imageReader->initializeTileData(rect);
calculateMean(tile);
this->m_iscalculated = true;
}
unlockMutex();
return nullptr;
}
void CalculateMeanOperation::calculateMean(MemoryBuffer *tile)
{
this->m_result = 0.0f;
float *buffer = tile->getBuffer();
int size = tile->getWidth() * tile->getHeight();
int pixels = 0;
float sum = 0.0f;
for (int i = 0, offset = 0; i < size; i++, offset += 4) {
if (buffer[offset + 3] > 0) {
pixels++;
switch (this->m_setting) {
case 1: {
sum += IMB_colormanagement_get_luminance(&buffer[offset]);
break;
}
case 2: {
sum += buffer[offset];
break;
}
case 3: {
sum += buffer[offset + 1];
break;
}
case 4: {
sum += buffer[offset + 2];
break;
}
case 5: {
float yuv[3];
rgb_to_yuv(buffer[offset],
buffer[offset + 1],
buffer[offset + 2],
&yuv[0],
&yuv[1],
&yuv[2],
BLI_YUV_ITU_BT709);
sum += yuv[0];
break;
}
}
}
}
this->m_result = sum / pixels;
}
|