cv::Mat image(
std::max(leftImage.rows, rightImage.rows),
leftImage.cols + rightImage.cols,
leftImage.type());
leftImage.copyTo(cv::Mat(
image, cv::Rect{ 0, 0, leftImage.cols, leftImage.rows }));
rightImage.copyTo(cv::Mat(
image, cv::Rect{ leftImage.cols, 0, rightImage.cols, rightImage.rows }));
cv::Mat image(topImage);
image.push_back(bottomImage);
https://stackoverflow.com/questions/12837876/opencv-convertto-returns-white-image-sometimes
When you use convertTo from CV_8U1 to CV_32F1,
a pixel value, for example, 255 becomes 255.0.
But when you try `imshow’ the resulting image,
the command expects all pixel values to be between 0.0 and 1.0.
that’s why, without rescaling the image, the image will look all white.
So this will do the trick as zzz pointed out (thanks).
input.convertTo(output, CV_32F, 1.0 / 255.0);
squared norm (no sqrt)
cv::Mat const ssd0 = cv::abs(m1 - m2);
// squared norm
return cv::norm(ssd0, cv::NORM_L2SQR);
先求解数组 1 和数组 2 对应元素的差值,
然后求解各个差值平方的累加和
cv::norm(m1, m2, cv::NORM_L2);