I was working on homography and whenever I try to check the values of H matrix (type CV_64F) using H.at
I get random numbers(sometimes garbag
The example below initializes a Hilbert matrix:
Mat H(100, 100, CV_64F);
for(int i = 0; i < H.rows; i++)
for(int j = 0; j < H.cols; j++)
H.at<double>(i,j)=1./(i+j+1);
Keep in mind that the size identifier used in the at operator cannot be chosen at random. It depends on the image from which you are trying to retrieve the data. The table below gives a better insight in this:
If matrix is of type CV_8U then use Mat.at<uchar>(y,x)
.
If matrix is of type CV_8S then use Mat.at<schar>(y,x)
.
If matrix is of type CV_16U then use Mat.at<ushort>(y,x)
.
If matrix is of type CV_16S then use Mat.at<short>(y,x)
.
If matrix is of type CV_32S then use Mat.at<int>(y,x)
.
If matrix is of type CV_32F then use Mat.at<float>(y,x)
.
If matrix is of type CV_64F then use Mat.at<double>(y,x)
.
(Taken from OpenCV docs)
You should try this:
A.at<double>(i, j);
because your matrix is of "type" CV_64F
which in turn means it contains elements of type double
, not float
.
By the way, I'm not sure whether you are aware of this, but you can use cout
to print the matrix like so:
std::cout << A << std::endl;
I found this to be useful for inspecting a small matrix or a slice of a matrix.