[英]Conversion between Eigen::Matrix and cv::Mat of type uchar
I am testing Eigen <--> OpenCV using opencv2/core/eigen.hpp
. 我正在使用
opencv2/core/eigen.hpp
测试Eigen <-> OpenCV。 The documentation seems to be lacking. 似乎缺少文档。
I could convert cv::Mat to Matrix. 我可以将cv :: Mat转换为Matrix。
Matrix<float,Dynamic, Dynamic> im;
cv::cv2eigen(cv::imread("lena.jpg", cv::IMREAD_GRAYSCALE), im );
After this step, I do some processing in floats. 完成此步骤后,我将在浮点数中进行一些处理。 When I convert
im
back to cv::Mat
and display the image I see a white image. 当我将
im
转换回cv::Mat
并显示图像时,我看到了白色图像。
cv::Mat dst;
cv::eigen2cv(im,dst);
cv::imshow( "win", dst );
cv::waitKey(0);
I think the trouble is with dst still being a CV_32F
Mat. 我认为麻烦是dst仍然是
CV_32F
Mat。 How can I get around this problem. 我该如何解决这个问题。
If the image type is CV_32F
and you only see a white image then this suggests that the values of the image are not in the range [0, 1]
. 如果图像类型为
CV_32F
并且您仅看到白色图像,则表明该图像的值不在[0, 1]
范围内。
#include <opencv2/opencv.hpp>
#include <opencv2/highgui.hpp>
#include <Eigen/Core>
#include <opencv2/core/eigen.hpp>
#include <algorithm>
#include <iostream>
// ...
Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic> im;
#if 0
// Wrong value range; you'll see only a white image.
cv::cv2eigen( cv::imread( "lena.jpg", cv::IMREAD_GRAYSCALE ), im );
#else
// This should work ok.
cv::Mat image;
cv::Mat1b image1b = cv::imread( "lena.jpg", cv::IMREAD_GRAYSCALE );
image1b.convertTo( image, CV_32F, 1./255. );
cv::cv2eigen( image, im );
#endif
// Your processing
// ...
cv::Mat1f dst;
cv::eigen2cv( im, dst );
// Check the value range.
float maxV = *( std::max_element( dst.begin(), dst.end() ) );
float minV = *( std::min_element( dst.begin(), dst.end() ) );
std::cout << "value range = [" << minV << ", " << maxV << "]" << std::endl;
cv::imshow( "dst", dst );
cv::waitKey( 0 );
This is the output of the first variant ( #if 1
): 这是第一个变量(
#if 1
)的输出:
$ ./a.out
value range = [24, 247]
And this is the output of the second variant ( #if 0
): 这是第二个变量(
#if 0
)的输出:
$ ./a.out
value range = [0.0941177, 0.968628]
After trying a little bit, realized that if all I need is rounding I can use convertTo()
尝试了一点之后,意识到如果我需要的是四舍五入,我可以使用
convertTo()
cv::Mat dst,dst2;
cv::eigen2cv(im_inv,dst2);
dst2.convertTo(dst, CV_8UC1 );
cv::imshow( "win", dst );
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