源代码如下：#-*-coding:utf-8-*-importcv2importosdefcartoonise(picture_name):imgInput_FileName=picture_nameimgOutput_FileName="F:\\K\\M"+picture_namenum_down=2#缩减像素采样...

源代码如下：

# -*- coding: utf-8 -*-

import cv2

import os

def cartoonise(picture_name):

imgInput_FileName = picture_name

imgOutput_FileName = "F:\\K\\M" + picture_name

num_down = 2 #缩减像素采样的数目

num_bilateral = 7 #定义双边滤波的数目

img_rgb = cv2.imread(imgInput_FileName) #读取图片

#用高斯金字塔降低取样

img_color = img_rgb

for _ in range(num_down):

img_color = cv2.pyrDown(img_color)

#重复使用小的双边滤波代替一个大的滤波

for _ in range(num_bilateral):

img_color = cv2.bilateralFilter(img_color,d=9,sigmaColor=9,sigmaSpace=7)

#升采样图片到原始大小

for _ in range(num_down):

img_color = cv2.pyrUp(img_color)

#转换为灰度并且使其产生中等的模糊

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

img_blur = cv2.medianBlur(img_gray, 7)

#检测到边缘并且增强其效果

img_edge = cv2.adaptiveThreshold(img_blur,255,

cv2.ADAPTIVE_THRESH_MEAN_C,

cv2.THRESH_BINARY,

blockSize=9,

C=2)

#转换回彩色图像

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

img_cartoon = cv2.bitwise_and(img_color, img_edge)

# 保存转换后的图片

cv2.imwrite(imgOutput_FileName, img_cartoon)

ImageList = [] #建立空的List

#循环读取"D:\pythonpractice\Image"中的文件名

for filename in os.listdir(r"F:\K"):

ImageList.append(filename) #将文件名添加到ImageList

for i in ImageList: #循环读取ImageList中的文件名，将其进行卡通化处理

print("正在卡通化" + i)

cartoonise(i)

报错如下：

Traceback (most recent call last):

File "F:/python/cartoon.py", line 46, in

cartoonise(i)

File "F:/python/cartoon.py", line 17, in cartoonise

img_color = cv2.pyrDown(img_color)

cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\imgproc\src\pyramids.cpp:729: error: (-215:Assertion failed) !_src.empty() in function 'cv::pyrDown_'

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