Confused During Reshaping Array Of Image

At the moment I'm trying to run a ConvNet. Each image, which later feeds the neural net, is stored as a list. But the list is at the moment created using three for-loops. Have a lo

Solution 1:

One approach would be to transpose the axes, which is essentially flattening in fortran mode i.e. reversed manner -

image = np.asarray(im, dtype="uint8")
image_representation = image.ravel('F').tolist()

For a closer look to the function have a look to the numpy.ravel documentation.