import imutils
import cv2
def preprocess(image, width, height):
# Grab the dimensions of the image, then initialize the padding values
(h, w) = image.shape[:2]
# If the width is greater than the height then resize along the width
if w > h:
image = imutils.resize(image, width=width)
# Otherwise, the height is greater than the width so resize along the height
else:
image = imutils.resize(image, height=height)
# Determine the padding values for the width and height to obtain the target dimensions
pad_w = int((width - image.shape[1]) / 2.0)
pad_h = int((height - image.shape[0]) / 2.0)
# Pad the image then apply one more resizing to handle any rounding issues
image = cv2.copyMakeBorder(image, pad_h, pad_h, pad_w, pad_w, cv2.BORDER_REPLICATE)
image = cv2.resize(image, (width, height))
# Return the pre-processed image
return image
