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sketchy.py
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sketchy.py
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import cv2
import numpy as np
import imageio
import scipy.ndimage
img_path = "IMG_1694894995982.jpg"
def grayscale(rgb):
return np.dot(rgb[..., :3], [0.299, 0.587, 0.114])
def dodge(front, back):
result = front * 255 / (np.clip(255 - back, a_min=1, a_max=None))
result[result > 255] = 255
result[back == 255] = 255
return result.astype('uint8')
# Read the image using imageio
s = imageio.imread(img_path)
# Convert the image to grayscale
g = grayscale(s)
# Invert the grayscale image
i = 255 - g
# Apply Gaussian filter
b = scipy.ndimage.filters.gaussian_filter(i, sigma=10)
# Create the final sketch
c = dodge(b, g)
# Display the original image
cv2.imshow("Original Image", s)
# Display the sketch
cv2.imshow("Sketch", c)
# Wait for a key event and then close the windows
cv2.waitKey(0)
cv2.destroyAllWindows()