This is a python code using the instructions below:

Instructions implement 2-dimensional (2D) convolution in python. Your convolution function should have two input variables, 2D image, and 2D kernel (filter). It should accept any size 2D input image as well as any size 2D kernel as input. The kernel must be a square matrix and the dimensions of the kernel must be odd such as 3x3, 5x5, or 7x7. However, the input image can be in any size grayscale image. I would like a solution for the kernel that 3x3.

Please come up with a convolution example and explanation

I have the snippet already but I don't understand the snippet so with an example please explain.

Also the library I used to get the image is from skimage import data. Please do not use 'from scipy.ndimage.filters import convolve' library for the filter as the convolution program must be done from scratch.