安装opencv
pip install opencv-python
import cv2import osdef cartoonise(picture_name):imgInput_FileName = picture_nameimgOutput_FileName = r"H:\test" + picture_namenum_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_rgbfor _ in xrange(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 xrange(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 xrange(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"H:"):ImageList.append(filename) # 将文件名添加到ImageListfor 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)
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