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
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
|
/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
/**
* Test program for itkGPUBinaryThresholdImageFilter class
*
*/
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkTimeProbe.h"
#include "itkGPUImage.h"
#include "itkGPUKernelManager.h"
#include "itkGPUContextManager.h"
#include "itkGPUImageToImageFilter.h"
#include "itkGPUBinaryThresholdImageFilter.h"
template <unsigned int VImageDimension>
int
runGPUBinaryThresholdImageFilterTest(const std::string & inFile, const std::string & outFile)
{
using InputPixelType = unsigned char;
using OutputPixelType = unsigned char;
using InputImageType = itk::GPUImage<InputPixelType, VImageDimension>;
using OutputImageType = itk::GPUImage<OutputPixelType, VImageDimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto reader = ReaderType::New();
auto writer = WriterType::New();
if (!itk::IsGPUAvailable())
{
std::cerr << "OpenCL-enabled GPU is not present." << std::endl;
return EXIT_FAILURE;
}
reader->SetFileName(inFile);
writer->SetFileName(outFile);
using ThresholdFilterType = itk::BinaryThresholdImageFilter<InputImageType, OutputImageType>;
using GPUThresholdFilterType = itk::GPUBinaryThresholdImageFilter<InputImageType, OutputImageType>;
// threshold parameters
constexpr InputPixelType upperThreshold = 255;
constexpr InputPixelType lowerThreshold = 175;
constexpr OutputPixelType outsideValue = 0;
constexpr OutputPixelType insideValue = 255;
for (int numberOfWorkUnits = 1; numberOfWorkUnits <= 8; ++numberOfWorkUnits)
{
auto CPUFilter = ThresholdFilterType::New();
itk::TimeProbe cputimer;
cputimer.Start();
// build pipeline
CPUFilter->SetNumberOfWorkUnits(numberOfWorkUnits);
CPUFilter->SetOutsideValue(outsideValue);
CPUFilter->SetInsideValue(insideValue);
CPUFilter->SetUpperThreshold(upperThreshold);
CPUFilter->SetLowerThreshold(lowerThreshold);
// CPUFilter->SetInPlace( true );
CPUFilter->SetInput(reader->GetOutput());
CPUFilter->Update();
cputimer.Stop();
std::cout << "CPU binary threshold took " << cputimer.GetMean() << " seconds with "
<< CPUFilter->GetNumberOfWorkUnits() << " work units.\n"
<< std::endl;
if (numberOfWorkUnits == 8)
{
auto GPUFilter = GPUThresholdFilterType::New();
itk::TimeProbe gputimer;
gputimer.Start();
GPUFilter->SetOutsideValue(outsideValue);
GPUFilter->SetInsideValue(insideValue);
GPUFilter->SetUpperThreshold(upperThreshold);
GPUFilter->SetLowerThreshold(lowerThreshold);
// GPUFilter->SetInPlace( true );
GPUFilter->SetInput(reader->GetOutput());
GPUFilter->Update();
GPUFilter->GetOutput()->UpdateBuffers(); // synchronization point
gputimer.Stop();
std::cout << "GPU binary threshold took " << gputimer.GetMean() << " seconds.\n" << std::endl;
// ---------------
// RMS Error check
// ---------------
double diff = 0;
unsigned int nPix = 0;
itk::ImageRegionIterator<OutputImageType> cit(CPUFilter->GetOutput(),
CPUFilter->GetOutput()->GetLargestPossibleRegion());
itk::ImageRegionIterator<OutputImageType> git(GPUFilter->GetOutput(),
GPUFilter->GetOutput()->GetLargestPossibleRegion());
for (cit.GoToBegin(), git.GoToBegin(); !cit.IsAtEnd(); ++cit, ++git)
{
double err = static_cast<double>(cit.Get()) - static_cast<double>(git.Get());
diff += err * err;
nPix++;
}
if (nPix > 0)
{
double RMSError = sqrt(diff / static_cast<double>(nPix));
std::cout << "RMS Error : " << RMSError << std::endl;
double RMSThreshold = 0;
writer->SetInput(GPUFilter->GetOutput());
// execute pipeline filter and write output
writer->Update();
if (itk::Math::isnan(RMSError))
{
std::cout << "RMS Error is NaN! nPix: " << nPix << std::endl;
return EXIT_FAILURE;
}
if (RMSError > RMSThreshold)
{
std::cout << "RMS Error exceeds threshold (" << RMSThreshold << ')' << std::endl;
return EXIT_FAILURE;
}
}
else
{
std::cout << "No pixels in output!" << std::endl;
return EXIT_FAILURE;
}
}
}
return EXIT_SUCCESS;
}
int
itkGPUBinaryThresholdImageFilterTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Error: missing arguments" << std::endl;
std::cerr << "inputfile outputfile [num_dimensions]" << std::endl;
return EXIT_FAILURE;
}
std::string inFile(argv[1]);
std::string outFile(argv[2]);
unsigned int dim = 3;
if (argc >= 4)
{
dim = std::stoi(argv[3]);
}
if (dim == 2)
{
return runGPUBinaryThresholdImageFilterTest<2>(inFile, outFile);
}
else if (dim == 3)
{
return runGPUBinaryThresholdImageFilterTest<3>(inFile, outFile);
}
else
{
std::cerr << "Error: only 2 or 3 dimensions allowed, " << dim << " selected." << std::endl;
return EXIT_FAILURE;
}
}
|
