Write a function, call it myWarp, that takes img$2$ and the estimated flow, u and v$,$ as

input and outputs the $($back$)$warped image. If the images are identical except for a

translation and the estimated flow is correct then the warped img$2$ will be identical

to img$1($ignoring discretization artifacts$).$ Hint: Use scipy.interpolate, interp$2$d$0($try

cubic and linear interpolation$)$ and numpximeshgrid$().$ Visualize the difference

between the warped img$2$ and img$1$ by: $($i$)$ take the difference between the two

images and display their absolute value output $($use an appropriate scale factor for

pltimshow $())$ and $($ii$)$ using matplotlib display img$1$ and the warped img$2$

consecutively in a loop for a few iterations, the output should appear approximately

stationary. When running matplotlib plots in a loop, you will need to invoke

matplotlib's flush events function to force Python to render the new image to the

existing plot.

Notes: Python only. Don't copy other solutions on Chegg already, as I've tried these already and they don't work for me$.$ Use all functions that are recomended and$/$or hinted.