Sharpen image with scipy convolve2d - odd results

Question

I am trying to use the convolve2d function from scipy for sharpening a RGB image. The code is shown below. For convolution, I am using the sharpen kernel from wikipedia:https://en.wikipedia.org/wiki/Kernel_(image_processing)

The output looks odd. I'm not sure what is incorrect here. I have experimented with changing data types of the array, it has given me some odd images. '''

import numpy as np
from PIL import Image

image = Image.open("1.jpg")
img_array = np.array(image)


def RGB_convolve(image,kern):
    image2 = np.empty_like(image)
    for dim in range(image.shape[-1]):
        image2[:,:,dim]=convolve2d(image[:,:,dim],kern, 'same')
    return image2

KERNEL_sharpen = np.array([[0,-1,0],[-1,5,-1],[0,-1,0]])
im_filtered = RGB_convolve(img_array,KERNEL_sharpen)

output_image = Image.fromarray(im_filtered)
display(output_image)

''' In/Out Image example

Update: Image output after using Adrien Mau's suggestion