CONVERTING IMAGE TO CARTOON USING PYTHON

 import cv2

class Cartoonizer: 

"""Cartoonizer effect 

A class that applies a cartoon effect to an image. 

The class uses a bilateral filter and adaptive thresholding to create 

a cartoon effect. 

"""

def __init__(self): 

pass

def render(self, img_rgb): 

img_rgb = cv2.imread(img_rgb) 

img_rgb = cv2.resize(img_rgb, (1366,768)) 

numDownSamples = 2 # number of downscaling steps 

numBilateralFilters = 50 # number of bilateral filtering steps 

# -- STEP 1 -- 

# downsample image using Gaussian pyramid 

img_color = img_rgb 

for _ in range(numDownSamples): 

img_color = cv2.pyrDown(img_color) 

#cv2.imshow("downcolor",img_color) 

#cv2.waitKey(0) 

# repeatedly apply small bilateral filter instead of applying 

# one large filter 

for _ in range(numBilateralFilters): 

img_color = cv2.bilateralFilter(img_color, 9, 9, 7) 

#cv2.imshow("bilateral filter",img_color) 

#cv2.waitKey(0) 

# upsample image to original size 

for _ in range(numDownSamples): 

img_color = cv2.pyrUp(img_color) 

#cv2.imshow("upscaling",img_color) 

#cv2.waitKey(0)

# -- STEPS 2 and 3 -- 

# convert to grayscale and apply median blur 

img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2GRAY) 

img_blur = cv2.medianBlur(img_gray, 3) 

#cv2.imshow("grayscale+median blur",img_color) 

#cv2.waitKey(0) 

# -- STEP 4 -- 

# detect and enhance edges 

img_edge = cv2.adaptiveThreshold(img_blur, 255, 

cv2.ADAPTIVE_THRESH_MEAN_C, 

cv2.THRESH_BINARY, 9, 2) 

#cv2.imshow("edge",img_edge) 

#cv2.waitKey(0) 

# -- STEP 5 -- 

# convert back to color so that it can be bit-ANDed with color image 

(x,y,z) = img_color.shape 

img_edge = cv2.resize(img_edge,(y,x)) 

img_edge = cv2.cvtColor(img_edge, cv2.COLOR_GRAY2RGB) 

cv2.imwrite("pm.jpg",img_edge) 

#cv2.imshow("step 5", img_edge) 

#cv2.waitKey(0) 

#img_edge = cv2.resize(img_edge,(i for i in img_color.shape[:2])) 

#print img_edge.shape, img_color.shape 

return cv2.bitwise_and(img_color, img_edge) 

tmp_canvas = Cartoonizer() 

file_name = "pm.jpg" #File_name will come here 

res = tmp_canvas.render(file_name) 

cv2.imwrite("Cartoon version.jpg", res) 

cv2.imshow("Cartoon version", res) 

cv2.waitKey(0) 

cv2.destroyAllWindows() 

ORIGINAL IMAGE:

CARTOON IMAGE: