python实现图片转素描效果代码

python实现图片转素描效果代码，代码如下：

  

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# -*- coding:utf-8 -*-       import cv2 import numpy as np from tkinter import filedialog, Tk from os import getcwd from re import findall       def open_path():     # 图片路径     root = Tk()     root.withdraw()     file_path = (filedialog.askopenfilename(title='选择图片文件', filetypes=[('All Files', '*')]))     return file_path       def dodgeNaive(image, mask):     # determine the shape of the input image     width, height = image.shape[:2]        # prepare output argument with same size as image     blend = np.zeros((width, height), np.uint8)        for col in range(width):         for row in range(height):             # do for every pixel             if mask[col, row] == 255:                 # avoid division by zero                 blend[col, row] = 255             else:                 # shift image pixel value by 8 bits                 # divide by the inverse of the mask                 tmp = (image[col, row] << 8) / (255 - mask)                 # print('tmp={}'.format(tmp.shape))                 # make sure resulting value stays within bounds                 if tmp.any() > 255:                     tmp = 255                     blend[col, row] = tmp        return blend       def dodgeV2(image, mask):     return cv2.divide(image, 255 - mask, scale=256)       def burnV2(image, mask):     return 255 - cv2.divide(255 - image, 255 - mask, scale=256)       def rgb_to_sketch(src_image_name):     print('转换中......')     img_rgb = cv2.imread(src_image_name)     img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)     # 读取图片时直接转换操作     # img_gray = cv2.imread('example.jpg', cv2.IMREAD_GRAYSCALE)        img_gray_inv = 255 - img_gray     img_blur = cv2.GaussianBlur(img_gray_inv, ksize=(21, 21),                                 sigmaX=0, sigmaY=0)     img_blend = dodgeV2(img_gray, img_blur)        # cv2.imshow('original', img_rgb)     # cv2.imshow('gray', img_gray)     # cv2.imshow('gray_inv', img_gray_inv)     # cv2.imshow('gray_blur', img_blur)     cv2.imwrite(dst_image_name, img_blend)     save_path = getcwd() + "\\" + dst_image_name  # 保存路径     print('转换完成!!!\n')     print('保存路径:' + save_path)     cv2.imshow(save_path, img_blend)     cv2.waitKey(0)     cv2.destroyAllWindows()       if __name__ == '__main__':     print('请选择图片(路径不要含中文)：')     src_image_name = open_path()  # 文件路径     print(src_image_name+'\n')     image_name = ''.join(findall(r'[^\\/:*?"<>|\r\n]+$', src_image_name))  # 获取文件名     dst_image_name = 'Sketch_' + image_name     rgb_to_sketch(src_image_name)