Gstflowreturn prepare buffer gstappsrc appsrc cv mat frame guint size 1280 720 4.
Create cv mat from buffer.
It is neither complete nor self standing.
This type is very similar to inputarray except that it is used for input output and output function parameters.
The header contains all the information associated with the matrix size number of channels data type and so on.
It can be used to store real or complex valued vectors and matrices grayscale or color images voxel volumes vector fields point clouds tensors histograms though very high dimensional histograms may be better stored in a sparsemat.
I d recommend using gst buffer new wrapped full instead that saves a buffer copy.
Dearest naing nyan openvino samples usually use opencv to read in images and yes opencv returns bgr.
Do not explicitly create outputarray instances applies here too.
N dimensional dense array class.
3x5 4 channel array with 8 bit floating point numbers.
The same limitation as for inputarray.
Careful this code is just a snippet showing how i did.
So if you trained your model on rgb layout then you definitely need to specify reverse input channels to model optimizer.
Void buffer destroy gpointer data cv mat done cv mat data.
The previous recipe showed you how to access some of the attributes of this structure contained in its header for example by using cols rows or channels.
The cv mat data structure is essentially made up of two parts.
If you want to make your function polymorphic i e.
The class mat represents an n dimensional dense numerical single channel or multi channel array.
A header and a data block.
Mat img 2 4 cv 32f.
Does the decoding line by line directly into the cv mat buffer correspond to the line which can be easily retrieved by the cv mat ptr method.
2x4 single channel array with 32 bit floating point numbers.
Cv 8u cv 8uc1 cv 8uc 1 here are the samples of the convention.
Here s an example i m using with appsrc which works fine warning.
Gstbuffer buffer gst buffer new wrapped.
Just like with inputarray opencv users should not care about outputarray they just pass mat vector t etc.