$1.$Write a python function to perform convolution on an image using a kernel. The inputs to the function will be an image, a kernel, the stride and whether padding will be performed or not $($binary variable True$/$False$).$ The image will be greyscale, so it will be $2$D$.$ The kernel will also be $2$D$.$ The function should be able to add the required padding $($zero padding$)$ based on the kernel size if padding input is True. The function will return the result of the convolution operation.