forked from InsightSoftwareConsortium/ITKVkFFTBackend
/
itkVkComplexToComplexFFTImageFilterTest.cxx
203 lines (179 loc) · 6.7 KB
/
itkVkComplexToComplexFFTImageFilterTest.cxx
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
197
198
199
200
201
202
203
/*=========================================================================
*
* 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
*
* http://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.
*
*=========================================================================*/
#include "itkVkComplexToComplexFFTImageFilter.h"
#include <complex.h>
#include "itkCommand.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
namespace
{
class ShowProgress : public itk::Command
{
public:
itkNewMacro(ShowProgress);
void
Execute(itk::Object * caller, const itk::EventObject & event) override
{
Execute((const itk::Object *)caller, event);
}
void
Execute(const itk::Object * caller, const itk::EventObject & event) override
{
if (!itk::ProgressEvent().CheckEvent(&event))
{
return;
}
const auto * processObject = dynamic_cast<const itk::ProcessObject *>(caller);
if (!processObject)
{
return;
}
std::cout << " " << processObject->GetProgress();
}
};
} // namespace
int
itkVkComplexToComplexFFTImageFilterTest(int argc, char * argv[])
{
int testNumber{ 0 };
{
if (argc != 2)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " outputImage";
std::cerr << std::endl;
return EXIT_FAILURE;
}
const char * outputImageFileName{ argv[1] };
constexpr unsigned int Dimension{ 2 };
using ComplexType = std::complex<double>;
using ComplexImageType = itk::Image<ComplexType, Dimension>;
using FilterType = itk::VkComplexToComplexFFTImageFilter<ComplexImageType>;
typename FilterType::Pointer filter{ FilterType::New() };
filter->SetDeviceID(0);
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, VkComplexToComplexFFTImageFilter, ComplexToComplexFFTImageFilter);
// Create input image to avoid test dependencies.
typename ComplexImageType::SizeType size;
size.Fill(128);
typename ComplexImageType::Pointer image{ ComplexImageType::New() };
image->SetRegions(size);
image->Allocate();
typename ShowProgress::Pointer showProgress{ ShowProgress::New() };
for (int i{ 0 }; i < 2; ++i)
{
image->FillBuffer(1.2f);
image->FillBuffer(1.1f);
filter->AddObserver(itk::ProgressEvent(), showProgress);
filter->SetInput(image);
using WriterType = itk::ImageFileWriter<ComplexImageType>;
typename WriterType::Pointer writer{ WriterType::New() };
writer->SetFileName(outputImageFileName);
writer->SetInput(filter->GetOutput());
writer->SetUseCompression(true);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << std::endl << "Test " << ++testNumber << "... passed." << std::endl;
}
}
bool testsPassed{ true };
{
constexpr unsigned int Dimension{ 1 };
using RealType = float;
using ComplexType = std::complex<RealType>;
using ComplexImageType = itk::Image<ComplexType, Dimension>;
typename ComplexImageType::SizeType size;
// Skip trivial case where 1D image of size 1 fails.
for (unsigned int mySize{ 2 }; mySize <= 20; ++mySize)
{
// We expect that anything evenly divisible by a prime number greater than 13
// will succeed with Bluestein's Algorithm implementation in VkFFT, though
// with less precision.
float valueTolerance{ (mySize == 17 || mySize == 19) ? 1e-5f : 1e-6f };
size.Fill(0);
size[0] = mySize;
typename ComplexImageType::Pointer image{ ComplexImageType::New() };
image->SetRegions(size);
image->Allocate();
const ComplexType zeroValue{ 0.0, 0.0 };
image->FillBuffer(zeroValue);
typename ComplexImageType::IndexType index;
index.Fill(0);
const ComplexType someValue{ 1.23, 4.567 };
image->SetPixel(index, someValue);
using FilterType = itk::VkComplexToComplexFFTImageFilter<ComplexImageType>;
typename FilterType::Pointer filter{ FilterType::New() };
filter->SetDeviceID(0);
filter->SetInput(image);
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
typename ComplexImageType::Pointer output{ filter->GetOutput() };
bool thisTestPassed{ true };
const typename ComplexImageType::SizeType outputSize{ output->GetLargestPossibleRegion().GetSize() };
if (outputSize[0] != mySize)
{
thisTestPassed = false;
}
for (unsigned int i{ 0 }; i < mySize; ++i)
{
index[0] = i;
if (std::abs(output->GetPixel(index) - someValue) > valueTolerance)
{
thisTestPassed = false;
}
}
std::cout << "Test " << ++testNumber << " (forward, size=" << mySize << ") ... "
<< (thisTestPassed ? "passed." : "failed.") << std::endl;
testsPassed &= thisTestPassed;
filter->SetTransformDirection(FilterType::TransformDirectionEnum::INVERSE);
filter->SetInput(output);
filter->Update();
typename ComplexImageType::Pointer output2{ filter->GetOutput() };
thisTestPassed = true;
const typename ComplexImageType::SizeType output2Size{ output2->GetLargestPossibleRegion().GetSize() };
if (output2Size[0] != mySize)
{
std::cout << "Size is " << output2Size[0] << " but should be " << mySize << "." << std::endl;
thisTestPassed = false;
}
index[0] = 0;
if (std::abs(output2->GetPixel(index) - someValue) > valueTolerance)
{
std::cout << "|difference| = " << std::abs(output2->GetPixel(index) - someValue) << std::endl;
thisTestPassed = false;
}
for (unsigned int i{ 1 }; i < mySize; ++i)
{
index[0] = i;
if (std::abs(output2->GetPixel(index) - zeroValue) > valueTolerance)
{
std::cout << "|difference| = " << std::abs(output2->GetPixel(index) - zeroValue) << std::endl;
thisTestPassed = false;
}
}
std::cout << std::endl;
std::cout << "Test " << ++testNumber << " (inverse, size=" << mySize << ") ... "
<< (thisTestPassed ? "passed." : "failed.") << std::endl;
testsPassed &= thisTestPassed;
}
}
if (testsPassed)
{
std::cout << "All tests passed." << std::endl;
return EXIT_SUCCESS;
}
return EXIT_FAILURE;
}