forked from opencv/opencv_contrib
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathperf_blur.cpp
148 lines (122 loc) · 4.52 KB
/
perf_blur.cpp
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
/*
* Copyright (c) 2024-2025 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#include "perf_precomp.hpp"
namespace opencv_test {
typedef perf::TestBaseWithParam<tuple<Size, int, int, bool>> GaussianBlurPerfTest;
PERF_TEST_P(GaussianBlurPerfTest, run,
::testing::Combine(::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p), // image size
::testing::Values(CV_8U,CV_16S,CV_32S), // image depth
::testing::Values(3, 5), // kernel size
::testing::Values(true,false) // blur border
)
)
{
cv::Size srcSize = get<0>(GetParam());
int depth = get<1>(GetParam());
int ksize = get<2>(GetParam());
bool border = get<3>(GetParam());
// For some cases FastCV not support, so skip them
if((ksize!=5) && (depth!=CV_8U))
throw ::perf::TestBase::PerfSkipTestException();
cv::Mat src(srcSize, depth);
cv::Mat dst;
RNG& rng = cv::theRNG();
cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
while (next())
{
startTimer();
cv::fastcv::gaussianBlur(src, dst, ksize, border);
stopTimer();
}
SANITY_CHECK_NOTHING();
}
typedef perf::TestBaseWithParam<tuple<Size, int, int>> Filter2DPerfTest;
PERF_TEST_P(Filter2DPerfTest, run,
::testing::Combine(::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p), // image size
::testing::Values(CV_8U,CV_16S,CV_32F), // dst image depth
::testing::Values(3, 5, 7, 9, 11) // kernel size
)
)
{
cv::Size srcSize = get<0>(GetParam());
int ddepth = get<1>(GetParam());
int ksize = get<2>(GetParam());
cv::Mat src(srcSize, CV_8U);
cv::Mat kernel;
cv::Mat dst;
switch (ddepth)
{
case CV_8U:
case CV_16S:
{
kernel.create(ksize,ksize,CV_8S);
break;
}
case CV_32F:
{
kernel.create(ksize,ksize,CV_32F);
break;
}
default:
break;
}
cv::randu(src, 0, 256);
cv::randu(kernel, INT8_MIN, INT8_MAX);
RNG& rng = cv::theRNG();
cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
while (next())
{
startTimer();
cv::fastcv::filter2D(src, dst, ddepth, kernel);
stopTimer();
}
SANITY_CHECK_NOTHING();
}
typedef perf::TestBaseWithParam<tuple<Size, int, int>> SepFilter2DPerfTest;
PERF_TEST_P(SepFilter2DPerfTest, run,
::testing::Combine(::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p), // image size
::testing::Values(CV_8U,CV_16S), // dst image depth
::testing::Values(3, 5, 7, 9, 11, 13, 15, 17) // kernel size
)
)
{
cv::Size srcSize = get<0>(GetParam());
int ddepth = get<1>(GetParam());
int ksize = get<2>(GetParam());
cv::Mat src(srcSize, ddepth);
cv::Mat kernel(1, ksize, ddepth);
cv::Mat dst;
RNG& rng = cv::theRNG();
cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
cvtest::randUni(rng, kernel, Scalar::all(INT8_MIN), Scalar::all(INT8_MAX));
while (next())
{
startTimer();
cv::fastcv::sepFilter2D(src, dst, ddepth, kernel, kernel);
stopTimer();
}
SANITY_CHECK_NOTHING();
}
typedef perf::TestBaseWithParam<tuple<Size, int, Size, int>> NormalizeLocalBoxPerfTest;
PERF_TEST_P(NormalizeLocalBoxPerfTest, run,
::testing::Combine(::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p), // image size
::testing::Values(CV_8U,CV_32F), // src image depth
::testing::Values(Size(3,3),Size(5,5)), // patch size
::testing::Values(0,1) // use std dev or not
)
)
{
cv::Size srcSize = get<0>(GetParam());
int depth = get<1>(GetParam());
Size sz = get<2>(GetParam());
bool useStdDev = get<3>(GetParam());
cv::Mat src(srcSize, depth);
cv::Mat dst;
RNG& rng = cv::theRNG();
cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
TEST_CYCLE() cv::fastcv::normalizeLocalBox(src, dst, sz, useStdDev);
SANITY_CHECK_NOTHING();
}
} // namespace