Say i have gpumat 512 512 cv 32fc2 and i want to convert it to float2 which has 512 512 elements.
Opencv mat type conversion.
Anyone who knows how to deal with the p.
Note that mat at int y int x and mat operator int y int x do absolutely the same and run at the same speed but the latter is certainly shorter.
It is more efficient than manually converting the pixels to the qimage but you have to keep the original cv mat image in memory.
It seems that the smart pointer could work in this case.
I want to read the image by opencv and i faced the problem to transform the type of cv mat to matrix rgb pixel.
While mat is sufficient in most cases mat can be more convenient if you use a lot of element access operations and if you know matrix type at the compilation time.
The colour conversion is done by ffmpeg rather than by opencv.
Opencv s native colour space bgr is known to ffmpeg and if you allocate you own mat then the memory layout is continuous.
Qimage img uchar mat data mat cols mat rows qimage format rgb32.
The reason is i want to write my own kernel outside cv gpu modules.
Hi the dnn imagenet ex cpp example in line 141 load image as a matrix rgb pixel.
The second thing to notice is the switch statement in the cv mat to qimage conversion cvmattoqimage because both opencv and qt provide multiple data.
To convert from cv mat to qimage you could try to use the qimage uchar data int width int height format format constructor as follows mat is a cv mat.