The first map of either x y points or just x values having the type cv 16sc2 cv 32fc1 or cv 32fc2.
Cv mat resize.
To resize an image in python you can use cv2 resize function of opencv library cv2.
Resize the mat or image in the opencv c tutorial.
See convertmaps for details on converting a floating point representation to fixed point for speed.
However i found cv resize is a cpu killer and it is the hot spot in my program.
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.
The aspect ratio can be preserved or not based on the requirement.
Resize mat src mat dst size dsize double fx double fy int interpolation this method accepts the following parameters src a mat object representing the source input image for this operation.
N dimensional dense array class.
Resizing by default does only change the width and height of the image.
Aspect ratio can be preserved by calculating width or height for given target height or width respectively.
The second map of y values having the type cv 16uc1 cv 32fc1 or none empty map if map1 is x y points respectively.
By voting up you can indicate which examples are most useful and appropriate.
The class mat represents an n dimensional dense numerical single channel or multi channel array.
Here are the examples of the csharp api class opencvsharp mat resize opencvsharp size double double opencvsharp interpolationflags taken from open source projects.
Hackathon findings on the problem.
Following is the syntax of this method.
The implementation is not the same as opencv uses for cpu kernels and it leads to different results.
The implementation of cv cuda resize with linear interpolation does not use npp and is aligned with gpu texture unit implementation to reuse it for some cases.
The issue is reproducible with opencv 3 4 10 and 4 3 0 contrib master too.
You can perform scaling on an image using the resize method of the imgproc class.
The main trick is in that simple code.
