# How should I stack up optical flow along axes to pass it to a neural network

I have extracted the optical flow along x and y axes. I want to pass them into a ConvNet. The thing I cannot understand is whether these should be two different input channels or should I combine them in some way, like stacking them, adding them or averaging them

• No, one channel is for the $x$ component of the flow, one channel is for the $y$ component of the flow. There are two channels in total. – shimao Apr 17 '18 at 8:58