OpenCV XML和YAML文件的写入和读取

一. 实验描述

二. 实验代码

//XML和YAML文件的写入
class Task11 {
public:
void deal() {
FileStorage fs("test.xml", FileStorage::WRITE);
// FileStorage fs("test.yaml", FileStorage::WRITE);

fs << "frame_count" << 5;

time_t rawtime;
time(&rawtime);
fs << "time" << asctime(localtime(&rawtime));

Mat camera_mat = (Mat_<double>(3, 3) << 1000, 0, 320, 0, 1000, 240, 0, 0, 1);
Mat dist_coeffs = (Mat_<double>(5, 1) << 0.1, 0.01, -0.001, 0, 0);
fs << "camera_mat" << camera_mat << "dist_coeffs" << dist_coeffs;

fs << "features" << "[";
for (int i = 0; i < 3; ++i) {
int x = rand() % 640;
int y = rand() % 480;
uchar lbp = rand() % 256;

fs << "{:" << "x" << x << "y" << y << "lbp" << "[:";

for (int j = 0; j < 8; ++j) {
fs << ((lbp >> j) & 1);
}
fs << "]" << "}";
}
fs << "]";

fs.release();

printf("生成文件完毕\n");
}
};

//XML和YAML文件的读取
class Task12 {
public:
void deal() {
FileStorage fs("test.xml", FileStorage::READ);
// FileStorage fs("test.yaml", FileStorage::READ);

int frame_count = fs["frame_count"]; //bug
cout << "frame_count: " << frame_count << endl;

string time;
fs["time"] >> time;
cout << "time:" << time << endl;

Mat camera_mat;
fs["camera_mat"] >> camera_mat;
cout << "camera_mat:" << camera_mat << endl;

Mat dist_coeffs;
fs["dist_coeffs"] >> dist_coeffs;
cout << "dist_coeffs:" << dist_coeffs << endl;

FileNode features = fs["features"];
FileNodeIterator it = features.begin(), it_end = features.end();

int idx = 0;
vector<uchar> ibpval;

for (; it != it_end; ++it, ++idx) {
cout << "features #" << idx << ":";
cout << "x=" << (int)(*it)["x"] << ",y=" << (int)(*it)["y"] << ",lbp:(";
(*it)["lbp"] >> ibpval;

for (int i = 0; i < ibpval.size(); ++i) {
cout << " " << (int)ibpval[i];
}
cout << ")" << endl;
}
fs.release();
}
};

三. 实验结果

<?xml version="1.0"?>
<opencv_storage>
<frame_count>5</frame_count>
<time>"Sat Aug 27 22:04:44 2016
"</time>
<camera_mat type_id="opencv-matrix">
<rows>3</rows>
<cols>3</cols>
<dt>d</dt>
<data>
1000. 0. 320. 0. 1000. 240. 0. 0. 1.</data></camera_mat>
<dist_coeffs type_id="opencv-matrix">
<rows>5</rows>
<cols>1</cols>
<dt>d</dt>
<data>
1.0000000000000001e-001 1.0000000000000000e-002
-1.0000000000000000e-003 0. 0.</data></dist_coeffs>
<features>
<_><x>41</x>
<y>227</y>
<lbp>
0 1 1 1 1 1 0 1</lbp></_>
<_><x>260</x>
<y>449</y>
<lbp>
0 0 1 1 0 1 1 0</lbp></_>
<_><x>598</x>
<y>78</y>
<lbp>
0 1 0 0 1 0 1 0</lbp></_></features>
</opencv_storage>

%YAML:1.0
frame_count: 5
time: "Sat Aug 27 22:03:38 2016\n"
camera_mat: !!opencv-matrix
rows: 3
cols: 3
dt: d
data: [ 1000., 0., 320., 0., 1000., 240., 0., 0., 1. ]
dist_coeffs: !!opencv-matrix
rows: 5
cols: 1
dt: d
data: [ 1.0000000000000001e-001, 1.0000000000000000e-002,
-1.0000000000000000e-003, 0., 0. ]
features:
- { x:41, y:227, lbp:[ 0, 1, 1, 1, 1, 1, 0, 1 ] }
- { x:260, y:449, lbp:[ 0, 0, 1, 1, 0, 1, 1, 0 ] }
- { x:598, y:78, lbp:[ 0, 1, 0, 0, 1, 0, 1, 0 ] }