-
Notifications
You must be signed in to change notification settings - Fork 48
/
Copy pathperf_skeleton.cpp
194 lines (145 loc) · 4.5 KB
/
perf_skeleton.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
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
#include "opencv_ptest/include/opencv2/ts/ts.hpp"
#include <iostream>
#include "skeleton_filter.hpp"
using namespace std;
using namespace perf;
using namespace cv;
using std::tr1::make_tuple;
using std::tr1::get;
//
// Test(s) for the ConvertColor_BGR2GRAY_BT709 function
//
// PERF_TEST(skeleton, ConvertColor_BGR2GRAY_BT709)
// {
// Mat input = cv::imread("./bin/testdata/sla.png");
//
// // Add code here
// }
//
// Test(s) for the ImageResize function
//
#define MAT_SIZES ::perf::szVGA, ::perf::sz720p, ::perf::sz1080p
typedef perf::TestBaseWithParam<Size> Size_Only;
PERF_TEST_P(Size_Only, ImageResize, testing::Values(MAT_SIZES))
{
Size sz = GetParam();
Size sz_to(sz.width / 1.7, sz.height / 1.4);
cv::Mat src(sz, CV_8UC1);
cv::Mat dst(Size(sz_to), CV_8UC1);
cv::Mat gold(Size(sz_to), CV_8UC1);
declare.in(src, WARMUP_RNG).out(dst);
cv::RNG rng(234231412);
rng.fill(src, CV_8UC1, 0, 255);
ImageResize(src, gold, sz_to);
TEST_CYCLE()
{
ImageResize_optimized(src, dst, sz_to);
}
cv::Mat diff; cv::absdiff(dst, gold, diff);
cv::threshold(diff, diff, 1, 0, cv::THRESH_TOZERO);
ASSERT_EQ(0, cv::countNonZero(diff));
SANITY_CHECK(dst);
}
//
// Test(s) for the skeletonize function
//
// #define IMAGES testing::Values( std::string("./bin/testdata/sla.png"),\
// std::string("./bin/testdata/page.png"),\
// std::string("./bin/testdata/schedule.png") )
//
// typedef perf::TestBaseWithParam<std::string> ImageName;
//
// PERF_TEST_P(ImageName, skeletonize, IMAGES)
// {
// Mat input = cv::imread(GetParam());
//
// // Add code here
// }
//
// Test(s) for the Thinning function
//
PERF_TEST_P(Size_Only, Thinning, testing::Values(MAT_SIZES))
{
Size sz = GetParam();
cv::Mat image(sz, CV_8UC1);
declare.in(image, WARMUP_RNG).out(image);
declare.time(40);
cv::RNG rng(234231412);
rng.fill(image, CV_8UC1, 0, 255);
cv::threshold(image, image, 240, 255, cv::THRESH_BINARY_INV);
cv::Mat gold; GuoHallThinning(image, gold);
cv::Mat thinned_image;
TEST_CYCLE()
{
GuoHallThinning_optimized(image, thinned_image);
}
cv::Mat diff; cv::absdiff(thinned_image, gold, diff);
ASSERT_EQ(0, cv::countNonZero(diff));
SANITY_CHECK(image);
}
PERF_TEST_P(Size_Only, ConvertColor_fpt, testing::Values(MAT_SIZES))
{
Size sz = GetParam();
cv::Mat src(sz, CV_8UC3);
cv::Mat dst(sz, CV_8UC1);
cv::Mat gold(sz, CV_8UC1);
declare.in(src, WARMUP_RNG).out(dst);
cv::theRNG().fill(src, cv::RNG::UNIFORM, 0, 256);
ConvertColor_BGR2GRAY_BT709(src, gold);
TEST_CYCLE()
{
ConvertColor_BGR2GRAY_BT709_fpt(src, dst);
}
cv::Mat diff; cv::absdiff(dst, gold, diff);
cv::Mat diff1; cv::threshold(diff, diff1, 1, 0, cv::THRESH_TOZERO);
ASSERT_EQ(0, cv::countNonZero(diff1));
// ASSERT_EQ(0, cv::countNonZero(diff));
SANITY_CHECK(dst);
}
PERF_TEST_P(Size_Only, ConvertColor_simd, testing::Values(MAT_SIZES))
{
Size sz = GetParam();
cv::Mat src(sz, CV_8UC3);
cv::Mat dst(sz, CV_8UC1);
cv::Mat gold(sz, CV_8UC1);
declare.in(src, WARMUP_RNG).out(dst);
cv::theRNG().fill(src, cv::RNG::UNIFORM, 0, 256);
ConvertColor_BGR2GRAY_BT709(src, gold);
TEST_CYCLE()
{
ConvertColor_BGR2GRAY_BT709_simd(src, dst);
}
cv::Mat diff; cv::absdiff(dst, gold, diff);
cv::Mat diff1; cv::threshold(diff, diff1, 1, 0, cv::THRESH_TOZERO);
ASSERT_EQ(0, cv::countNonZero(diff1));
// Even if it is 1-off error there should be no more than 20% of such pixels
ASSERT_LT(cv::countNonZero(diff), sz.width*sz.height*20/100);
SANITY_CHECK(dst);
}
// Accuracy test by the way...
TEST(CompleteColorSpace, ConvertColor_fpt)
{
Size sz(4096, 4096);
cv::Mat src(sz, CV_8UC3);
cv::Mat dst(sz, CV_8UC1);
cv::Mat gold(sz, CV_8UC1);
int val = 0;
for (int y = 0; y < sz.height; y++)
{
uchar* ptr = src.ptr<uchar>(y);
for(int x = 0; x < sz.width; x++)
{
ptr[3*x + 0] = val;
ptr[3*x + 1] = val >> 8;
ptr[3*x + 2] = val >> 16;
val++;
}
}
ConvertColor_BGR2GRAY_BT709(src, gold);
ConvertColor_BGR2GRAY_BT709_fpt(src, dst);
cv::Mat diff; cv::absdiff(dst, gold, diff);
cv::Mat diff1; cv::threshold(diff, diff1, 1, 0, cv::THRESH_TOZERO);
EXPECT_EQ(0, cv::countNonZero(diff1));
ASSERT_LT(cv::countNonZero(diff), 7565);
// ASSERT_EQ(0, cv::countNonZero(diff));
}