How to find out what type of a Mat object is with Mat::type() in OpenCV
Here is a handy function you can use to help with identifying your opencv matrices at runtime. I find it useful for debugging, at least.
string type2str(int type) {
string r;
uchar depth = type & CV_MAT_DEPTH_MASK;
uchar chans = 1 + (type >> CV_CN_SHIFT);
switch ( depth ) {
case CV_8U: r = "8U"; break;
case CV_8S: r = "8S"; break;
case CV_16U: r = "16U"; break;
case CV_16S: r = "16S"; break;
case CV_32S: r = "32S"; break;
case CV_32F: r = "32F"; break;
case CV_64F: r = "64F"; break;
default: r = "User"; break;
}
r += "C";
r += (chans+'0');
return r;
}
If M
is a var of type Mat
you can call it like so:
string ty = type2str( M.type() );
printf("Matrix: %s %dx%d \n", ty.c_str(), M.cols, M.rows );
Will output data such as:
Matrix: 8UC3 640x480
Matrix: 64FC1 3x2
Its worth noting that there are also Matrix methods Mat::depth()
and Mat::channels()
. This function is just a handy way of getting a human readable interpretation from the combination of those two values whose bits are all stored in the same value.
For debugging purposes in case you want to look up a raw Mat::type
in a debugger:
C1 | C2 | C3 | C4 | C(5) | C(6) | C(7) | C(8) | |
---|---|---|---|---|---|---|---|---|
CV_8U | 0 | 8 | 16 | 24 | 32 | 40 | 48 | 56 |
CV_8S | 1 | 9 | 17 | 25 | 33 | 41 | 49 | 57 |
CV_16U | 2 | 10 | 18 | 26 | 34 | 42 | 50 | 58 |
CV_16S | 3 | 11 | 19 | 27 | 35 | 43 | 51 | 59 |
CV_32S | 4 | 12 | 20 | 28 | 36 | 44 | 52 | 60 |
CV_32F | 5 | 13 | 21 | 29 | 37 | 45 | 53 | 61 |
CV_64F | 6 | 14 | 22 | 30 | 38 | 46 | 54 | 62 |
So for example, if type = 30 then OpenCV data type is CV_64FC4
. If type = 50 then the OpenCV data type is CV_16UC(7)
.
In OpenCV header "types_c.h" there are a set of defines which generate these, the format is CV_bits{U|S|F}C<number_of_channels>
So for example CV_8UC3
means 8 bit unsigned chars, 3 colour channels - each of these names map onto an arbitrary integer with the macros in that file.
Edit: See "types_c.h" for example:
#define CV_8UC3 CV_MAKETYPE(CV_8U,3)
#define CV_MAKETYPE(depth,cn) (CV_MAT_DEPTH(depth) + (((cn)-1) << CV_CN_SHIFT))
eg.
depth = CV_8U = 0
cn = 3
CV_CN_SHIFT = 3
CV_MAT_DEPTH(0) = 0
(((cn)-1) << CV_CN_SHIFT) = (3-1) << 3 = 2<<3 = 16
So CV_8UC3 = 16
but you aren't supposed to use this number, just check type() == CV_8UC3
if you need to know what type an internal OpenCV array is.
Remember OpenCV will convert the jpeg into BGR (or grey scale if you pass '0' to imread
) - so it doesn't tell you anything about the original file.