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
|
/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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 "itkBSplineSecondOrderDerivativeKernelFunction.h"
#include "itkBSplineSecondOrderDerivativeKernelFunction2.h"
#include <ctime>
#include <iomanip>
//-------------------------------------------------------------------------------------
int
main()
{
/** Some basic type definitions.
* NOTE: don't change the dimension or the spline order, since the
* hard-coded ground truth depends on this.
*/
const unsigned int SplineOrder = 3;
// const double distance = 1e-3; // the allowable distance
// const double allowedTimeDifference = 0.1; // 10% is considered within limits
/** The number of calls to Evaluate(). This number gives reasonably
* fast test results in Release mode.
*/
unsigned int N = static_cast<unsigned int>(1e8);
/** Other typedefs. */
using BSplineSODerivativeKernelType = itk::BSplineSecondOrderDerivativeKernelFunction<SplineOrder>;
using BSplineSODerivativeKernelType2 = itk::BSplineSecondOrderDerivativeKernelFunction2<SplineOrder>;
/** Create the kernel. */
auto dkernel = BSplineSODerivativeKernelType::New();
const unsigned int size_u = 15;
std::vector<double> u(size_u);
u[0] = -2.5;
u[1] = -2.0;
u[2] = -1.9;
u[3] = -1.5;
u[4] = -1.0;
u[5] = -0.8;
u[6] = -0.5;
u[7] = -0.1;
u[8] = 0.0;
for (unsigned int i = (size_u + 3) / 2; i < size_u; ++i)
{
u[i] = -u[size_u + 1 - i];
}
/** Time the implementation. */
clock_t startClock = clock();
for (unsigned int i = 0; i < N; ++i)
{
dkernel->Evaluate(u[3]);
}
clock_t endClock = clock();
clock_t clockDiff = endClock - startClock;
std::cerr << "The elapsed time for ITK implementation is: " << clockDiff << std::endl;
/** Create the kernel. */
auto dkernel2 = BSplineSODerivativeKernelType2::New();
/** Time the implementation. */
startClock = clock();
for (unsigned int i = 0; i < N; ++i)
{
dkernel2->Evaluate(u[3]);
}
endClock = clock();
clockDiff = endClock - startClock;
std::cerr << "The elapsed time for our implementation is: " << clockDiff << std::endl;
/***************************************************************************/
for (unsigned int i = 0; i < size_u; ++i)
{
double diff = dkernel->Evaluate(u[i]) - dkernel2->Evaluate(u[i]);
if (diff > 1e-5)
{
std::cerr << "ERROR: our implementation differs from ITK." << std::endl;
return 1;
}
}
std::cerr << "The results are good." << std::endl;
// std::cerr << "\nITK output: " << dkernel->Evaluate( u ) << std::endl;
// std::cerr << "Our output: " << dkernel2->Evaluate( u ) << std::endl;
/** Return a value. */
return 0;
} // end main
|
