(image, width, height)
return image
A helper function to resize an image to fit within a given size
    :param image: image to resize
    :param width: desired width in pixels
    :param height: desired height in pixels
    :return: the resized image
A helper function to resize an image to fit within a given size
    :param image: image to resize
    :param width: desired width in pixels
    :param height: desired height in pixels
    :return: the resized image
A helper function to resize an image to fit within a given size : param image : image to resize : param width : desired width in pixels : param height : desired height in pixels : return : the resized image
def resize_to_fit(image, width, height):
    """
    A helper function to resize an image to fit within a given size
    :param image: image to resize
    :param width: desired width in pixels
    :param height: desired height in pixels
    :return: the resized image
    """

    # 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
    padW = int((width - image.shape[1]) / 2.0)
    padH = int((height - image.shape[0]) / 2.0)

    # pad the image then apply one more resizing to handle any
    # rounding issues
    image = cv2.copyMakeBorder(image, padH, padH, padW, padW,
        cv2.BORDER_REPLICATE)
    image = cv2.resize(image, (width, height))

    # return the pre-processed image
    return image
def resize_to_fit ( 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 padW = int ( ( width - image . shape [ 1 ] ) / 2.0 ) padH = int ( ( height - image . shape [ 0 ] ) / 2.0 ) # pad the image then apply one more resizing to handle any # rounding issues image = cv2 . copyMakeBorder ( image , padH , padH , padW , padW , cv2 . BORDER_REPLICATE ) image = cv2 . resize ( image , ( width , height ) ) # return the pre-processed image return image