python生成验证码，,#encoding=

python生成验证码，,#encoding=

#encoding=utf-8import random# import matplotlib.pyplot as pltimport stringimport sysimport mathfrom PIL import Image,ImageDraw,ImageFont,ImageFilterfilename="C:/Users/123/Desktop/yzm/"#字体的位置，不同版本的系统会有不同BuxtonSketch.ttffont_path = ‘C:/Windows/Fonts/Georgia.ttf‘#font_path = ‘C:/Windows/Fonts/默陌肥圆手写体.ttf‘#生成几位数的验证码number = 4#生成验证码图片的高度和宽度size = (129,53)#背景颜色，默认为白色bgcolor = (255,255,255)#字体颜色，默认为蓝色fontcolor = (0,0,0)#干扰线颜色。默认为红色linecolor = (0,0,0)#是否要加入干扰线draw_line = True#加入干扰线条数的上下限line_number = (1,5)#用来随机生成一个字符串def gene_text():    # source = list(string.letters)    # for index in range(0,10):    #     source.append(str(index))    source = [‘0‘,‘1‘,‘2‘,‘3‘,‘4‘,‘5‘,‘6‘,‘7‘,‘8‘,‘9‘]    # source = [ ‘A‘, ‘B‘, ‘C‘, ‘D‘, ‘E‘, ‘F‘, ‘G‘, ‘H‘,‘I‘,‘J‘, ‘K‘,‘L‘, ‘M‘, ‘N‘,‘O‘,‘P‘,‘Q‘,‘R‘,    #           ‘S‘, ‘T‘, ‘U‘, ‘V‘, ‘W‘, ‘Z‘,‘X‘, ‘Y‘]    return ‘‘.join(random.sample(source,number))#number是生成验证码的位数#用来绘制干扰线def gene_line(draw,width,height):    # begin = (random.randint(0, width), random.randint(0, height))    # end = (random.randint(0, width), random.randint(0, height))    begin = (0, random.randint(0, height))    end = (74, random.randint(0, height))    draw.line([begin, end], fill = linecolor,width=3)#生成验证码def gene_code():    width,height = size #宽和高    image = Image.new(‘RGBA‘,(width,height),bgcolor) #创建图片    font = ImageFont.truetype(font_path,40) #验证码的字体    draw = ImageDraw.Draw(image)  #创建画笔    text = gene_text() #生成字符串    font_width, font_height = font.getsize(text)    draw.text(((width - font_width) / number, (height - font_height) / number),text,            font= font,fill=fontcolor) #填充字符串    if draw_line:        gene_line(draw,width,height)    image = image.transform((width+30,height+10), Image.AFFINE, (1,-0.3,0,-0.1,1,0),Image.BILINEAR)  #创建扭曲    # image = image.transform((width+20,height+10), Image.AFFINE, (1,-0.3,0,-0.1,1,0),Image.BILINEAR)  #创建扭曲    image = image.filter(ImageFilter.EDGE_ENHANCE_MORE) #滤镜，边界加强    # a = str(m)    aa = str(".png")    path = filename + text + aa    # cv2.imwrite(path, I1)    # image.save(‘idencode.jpg‘) #保存验证码图片    image.save(path)x=1# if __name__ == "__main__":# for k in(1,1000):while x<20:     gene_code()     x+=1

python生成验证码