Cartoon

# -*- coding: utf-8 -*-
"""
Created on Fri Jun 24 12:42:57 2022
 
@author: http://www.juzicode.com/python-funny-opencv-cartoon-profile-photo/
"""
import cv2
import os,sys,time
 
from matplotlib import pyplot as plt
 
def showimage(myimage, figsize=[10,10]):
    if (myimage.ndim>2):  #This only applies to RGB or RGBA images (e.g. not to Black and White images)
        myimage = myimage[:,:,::-1] #OpenCV follows BGR order, while matplotlib likely follows RGB order
 
    fig, ax = plt.subplots(figsize=figsize)
    ax.imshow(myimage, cmap = 'gray', interpolation = 'bicubic')
    plt.xticks([]), plt.yticks([])  # to hide tick values on X and Y axis
    plt.show()
 
def cartoon(fn_raw,edge='Canny'):
 
    #Lire l'image
    img_raw = cv2.imread(fn_raw)     
 
    #Agrandir l'image
    HEIGHT_MAX = 500
    height,width,_ = img_raw.shape
    ration = HEIGHT_MAX/height
    width = int(width * ration)
    height = HEIGHT_MAX
    print('width,height:',width,height)
    img_resize = cv2.resize(img_raw,(width,height))   
    showimage(img_resize)
 
    #Niveaux de gris
    img_gray = cv2.cvtColor(img_resize,cv2.COLOR_BGR2GRAY)
    #去噪
    img_blur = cv2.medianBlur(img_gray,5)
    #img_blur = cv2.blur(img_gray,(5,5))
    showimage(img_blur)
 
    #Détection des contours
    if edge == 'Laplacian':
        img_edge = cv2.Laplacian(img_blur,cv2.CV_8U,ksize=5)
    elif edge == 'Scharr':
        img_edge1=cv2.Scharr(img_gray,cv2.CV_8U,1,0,1,0)
        img_edge2=cv2.Scharr(img_gray,cv2.CV_8U,0,1,1,0)
        img_edge = cv2.add(img_edge1,img_edge2)
    elif edge == 'Sobel':
        img_edge1=cv2.Sobel(img_gray,cv2.CV_8U,1,0,ksize=3)
        img_edge2=cv2.Sobel(img_gray,cv2.CV_8U,0,1,ksize=3) 
        img_edge = cv2.add(img_edge1,img_edge2)        
    else: #Canny
        img_edge = cv2.Canny(img_blur,80,160,apertureSize=3)
    showimage(img_edge)
 
    #Calculer le masque
    _,img_mask= cv2.threshold(img_edge,100,255,cv2.THRESH_BINARY_INV)
    img_mask = cv2.cvtColor(img_mask,cv2.COLOR_GRAY2BGR)
    showimage(img_mask)
 
    #Lissage
    img_cartoon = img_resize
    print('img_cartoon.shape:',img_cartoon.shape)
    for x in range(11):
        ksize,sigma_color,sigma_space = 21,11,11
        img_cartoon = cv2.bilateralFilter(img_cartoon,ksize,sigma_color,sigma_space)
        #showimage(img_cartoon)
 
    #Masque
    img_cartoon = cv2.bitwise_and(img_cartoon,img_mask)
    showimage(img_cartoon)
 
if __name__ == '__main__':
    cartoon('pexels-ali-pazani-2878373.jpg',edge='Canny')
 

# importing libraries 
import cv2
from matplotlib import pyplot as plt
import imageio
 
# reading image  
img = cv2.imread("pexels-andrea-yurko-982585.jpg")
 
# Edges 
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 
gray = cv2.medianBlur(gray, 5) 
edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C,  
                                         cv2.THRESH_BINARY, 9, 9) 
# Cartoonization 
color = cv2.bilateralFilter(img, 9, 250, 250) 
cartoon = cv2.bitwise_and(color, color, mask=edges)
 
plt.imshow(cv2.cvtColor(img.astype('uint8'), cv2.COLOR_BGR2RGB))
plt.axis('off')
plt.title('Image')
plt.show()
 
plt.imshow(edges, 'gray')
plt.axis('off')
plt.title('edges')
plt.show()
cv2.imshow("Cartoon", cartoon)
 
imageio.imwrite('edges.jpg', edges)
 
plt.imshow(cv2.cvtColor(cartoon.astype('uint8'), cv2.COLOR_BGR2RGB))
plt.axis('off')
plt.title('Cartoon')
plt.show()
 
imageio.imwrite('Cartoon.jpg', cv2.cvtColor(cartoon.astype('uint8'), cv2.COLOR_BGR2RGB))
 
cv2.destroyAllWindows()
 

import cv2
import numpy as np
from matplotlib import pyplot as plt
 
#reading image
 
img = cv2.imread("input-image/Honda-City.jpg")
 
#getting edges
 
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.medianBlur(gray,7)
edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY, 9, 9)
 
#cartoonization
 
color = cv2.bilateralFilter(img, 9, 250, 250)
cartoon = cv2.bitwise_and(color, color, mask=edges)
 
# Display 
 
plt.imshow(cv2.cvtColor(img.astype('uint8'), cv2.COLOR_BGR2RGB))
plt.axis('off')
plt.title('Images')
plt.show()
 
plt.imshow(cv2.cvtColor(cartoon.astype('uint8'), cv2.COLOR_BGR2RGB))
plt.axis('off')
plt.title('Cartoon')
plt.show()