所以我尝试通过
cv::imencode
apis将图像保存到ostream中.从imencode我们得到矢量.作为
shown here,它可以存储在任何ostream中.例如std :: ofstream.但它没有破坏数据=(
这就是我们所看到的:
这是我们在文件中得到的:
这是我们的代码:
#include <iostream>
#include <fstream>
#include <vector>
#include <map>
#include <string>
#include <ctime>
#include <iterator>
#include <opencv2/opencv.hpp>
void send_data(std::ostream & o, const std::vector<uchar> & v)
{
o.write(reinterpret_cast<const char*>(v.data()), v.size());
}
int main( )
{
int w=400, h=400;
cv::Mat black = cv::Mat::zeros(cv::Size(w, h), CV_8UC3);
{
for(int i = 0; i <= 35; ++i)
{
for (int k = 0; k <=35; ++k)
{
black.row(i).col(k) = 255;
}
}
for(int i = 10; i <= 15; ++i)
{
for (int k = 10; k <=15; ++k)
{
black.row(i).col(k) = 0;
}
}
for(int i = 25; i <= 30; ++i)
{
for (int k = 25; k <=30; ++k)
{
black.row(i).col(k) = 0;
}
}
for(int i = 25; i <= 75; ++i)
{
for (int k = 25; k <= 75; ++k)
{
black.row(i).col(k) = 255;
}
}
for(int i = 35; i <= 65; ++i)
{
for (int k = 35; k <=65; ++k)
{
black.row(i).col(k) = 0;
}
}
for(int i = 57; i <= 62; ++i)
{
for (int k = 57; k <=62; ++k)
{
black.row(i).col(k) = 255;
}
}
for(int i = 90; i <= 99; ++i)
{
for (int k = 90; k <=99; ++k)
{
black.row(i).col(k) = 255;
}
}
}
cv::namedWindow( "Components", CV_WINDOW_AUTOSIZE );
cv::imshow( "Components", black );
std::vector<uchar> buff;
std::vector<int> p;
p.push_back(CV_IMWRITE_JPEG_QUALITY);
p.push_back(9);
cv::imencode(".jpg", black, buff);
std::ofstream outfile ("test.jpg");
send_data(outfile, buff);
outfile.close();
cv::waitKey(0);
std::cin.get();
return 0;
}
最佳答案 您需要以二进制模式打开输出文件.
std::ofstream outfile ("test.jpg", std::ofstream::binary);