To save an image to the local file system use cv2 imwrite.
Save mat as image opencv.
The class mat represents an n dimensional dense numerical single channel or multi channel array.
If the format depth or channel order is different use mat convertto and cv cvtcolor to convert it before saving.
N dimensional dense array class.
Converting an mat object to an bufferedimage object.
Opencv python save image.
While working with images in image processing applications it is quite often that you need to store intermediate results of image transformations or save the final resulting image.
For an introduction to using softwarebitmap see create edit and save bitmap images.
This example by daniel baggio was taken directly from this stackexchange answer but has been reposted for visibility.
To see how to use the opencv helper component shown in this article with mediaframereader to implement real time image processing of frames from a camera see use opencv with mediaframereader.
Mat a mat object representing the image to be written.
My camera is d435i and i use opencv 3 4 7 realsense sdk 2 0 in ubuntu 18 04.
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.
Opencv writing an image the write method of the imgcodecs class is used to write an image using opencv.
This can be used by a graphics object to draw the image.
To write an image repeat the first three steps from the previous example.
Filename a string variable representing the path where to save the file.
After i align the color and depth stream i use mat depth image to save the depth data of the depth frame and use imwrite to save mat depth image to depth png then use imshow to show the mat.
This class takes an mat object and returns the bufferedimage object used by the javax swing libraries.
Then we ll save the transformed image in a file using imwrite.
Also we ll transform the loaded image to greyscale format using cvtcolor.
Handling images is the basic building blocks of the opencv library and we should understand how to manipulate the images on a pixel level.
Or use the universal filestorage i o functions to save the image to xml or yaml format.