Hi i have written a small program with the python doing this.
I did not use that function.
I read the image in using openCV (which for python stores it in a numpy array BGR format already)
for example
image = cv2.imread("new_img.png")
(you may need to resize the image for it to fit into the model)
After that you will need to create the bicupic version of the image
bicupic = cv2.resize(image,(1920,1080), interpolation = cv2.INTER_CUBIC)
Then you will need to reshape the array to fit into the openvino model
image = image.transpose((2, 0, 1))
bicupic = bicupic.transpose((2, 0, 1))
The last tricky part is you need to load the images into the plugin
exec_net.requests[0].inputs['0'][:] = image
exec_net.requests[0].inputs['1'][:] = bicupic
exec_net.requests[0].infer()
The infer command starts the inference.
If you plan on saving the file you will need to normalize the floating point representation and then convert it to an integer (im sure there is a fancier way of doing this than the way i did)
I left out a bunch of code but i believe that the pieces that i provided are the things you could stumble on in getting everything started.
I am submitting a request to the developers to port this sample to Python.
Let me know if this helps you.
Ken
