Please use Python or numpy

2.2 Write a function that warps an image with a given transformation matrix Next, write a function imwarp (I,T) that warps image / with transformation matrix T. The function should produce an output image of the same size as I. See Fig. 1 for an example of a warp induced by a rotation transformation matrix. Make the origin of the coordinate system correspond to the CENTER of the image, not the top-left corner. This will result in more intuitive results, such as how the image is rotated around its center in Fig. 1. imade source imane warned Fig. 1: Example of an input image (left) transformed by a rotation matrix, resulting in a 'warped' image (right). Hint 1: Consider the transformation matrix T to describe the mapping from each pixel in the output image back to the original image. By defining T in this way, you can account for each output pixel in the warp, resulting in no 'holes' in the output image (see Lec. 03 slides). Hint 2: What happens when the transformation matrix maps an output pixel to a non-integer location in the input image? You will need to perform bilinear interpolation to handle this correctly (see Lec. 03 slides). Hint 3: You may find NumPy's meshgrid function useful to generate all pixel coordinates at once, without a loop. 2.3 Demonstrate your warping code on two color images of your choice For each of the two images, show 2-3 transformations of each type (translation, rotation, similarity, affine) in your report