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
|
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
//#define GENERATE_DATA
namespace opencv_test { namespace {
TEST(Imgcodecs_EXR, readWrite_32FC1)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filenameInput = root + "readwrite/test32FC1.exr";
const string filenameOutput = cv::tempfile(".exr");
#ifndef GENERATE_DATA
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
#else
const Size sz(64, 32);
Mat img(sz, CV_32FC1, Scalar(0.5, 0.1, 1));
img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
ASSERT_TRUE(cv::imwrite(filenameInput, img));
#endif
ASSERT_FALSE(img.empty());
ASSERT_EQ(CV_32FC1,img.type());
ASSERT_TRUE(cv::imwrite(filenameOutput, img));
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
ASSERT_EQ(img2.type(), img.type());
ASSERT_EQ(img2.size(), img.size());
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
EXPECT_EQ(0, remove(filenameOutput.c_str()));
}
TEST(Imgcodecs_EXR, readWrite_32FC3)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filenameInput = root + "readwrite/test32FC3.exr";
const string filenameOutput = cv::tempfile(".exr");
#ifndef GENERATE_DATA
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
#else
const Size sz(64, 32);
Mat img(sz, CV_32FC3, Scalar(0.5, 0.1, 1));
img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
ASSERT_TRUE(cv::imwrite(filenameInput, img));
#endif
ASSERT_FALSE(img.empty());
ASSERT_EQ(CV_32FC3, img.type());
ASSERT_TRUE(cv::imwrite(filenameOutput, img));
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
ASSERT_EQ(img2.type(), img.type());
ASSERT_EQ(img2.size(), img.size());
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
EXPECT_EQ(0, remove(filenameOutput.c_str()));
}
TEST(Imgcodecs_EXR, readWrite_32FC1_half)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filenameInput = root + "readwrite/test32FC1_half.exr";
const string filenameOutput = cv::tempfile(".exr");
std::vector<int> params;
params.push_back(IMWRITE_EXR_TYPE);
params.push_back(IMWRITE_EXR_TYPE_HALF);
#ifndef GENERATE_DATA
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
#else
const Size sz(64, 32);
Mat img(sz, CV_32FC1, Scalar(0.5, 0.1, 1));
img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
ASSERT_TRUE(cv::imwrite(filenameInput, img, params));
#endif
ASSERT_FALSE(img.empty());
ASSERT_EQ(CV_32FC1,img.type());
ASSERT_TRUE(cv::imwrite(filenameOutput, img, params));
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
ASSERT_EQ(img2.type(), img.type());
ASSERT_EQ(img2.size(), img.size());
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
EXPECT_EQ(0, remove(filenameOutput.c_str()));
}
TEST(Imgcodecs_EXR, readWrite_32FC3_half)
{
const string root = cvtest::TS::ptr()->get_data_path();
const string filenameInput = root + "readwrite/test32FC3_half.exr";
const string filenameOutput = cv::tempfile(".exr");
std::vector<int> params;
params.push_back(IMWRITE_EXR_TYPE);
params.push_back(IMWRITE_EXR_TYPE_HALF);
#ifndef GENERATE_DATA
const Mat img = cv::imread(filenameInput, IMREAD_UNCHANGED);
#else
const Size sz(64, 32);
Mat img(sz, CV_32FC3, Scalar(0.5, 0.1, 1));
img(Rect(10, 5, sz.width - 30, sz.height - 20)).setTo(Scalar(1, 0, 0));
ASSERT_TRUE(cv::imwrite(filenameInput, img, params));
#endif
ASSERT_FALSE(img.empty());
ASSERT_EQ(CV_32FC3, img.type());
ASSERT_TRUE(cv::imwrite(filenameOutput, img, params));
const Mat img2 = cv::imread(filenameOutput, IMREAD_UNCHANGED);
ASSERT_EQ(img2.type(), img.type());
ASSERT_EQ(img2.size(), img.size());
EXPECT_LE(cvtest::norm(img, img2, NORM_INF | NORM_RELATIVE), 1e-3);
EXPECT_EQ(0, remove(filenameOutput.c_str()));
}
}} // namespace
|
