from captcha.image import ImageCaptcha  # pip install captcha
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import random
 
# 验证码中的字符, 就不用汉字了
number = ['0','1','2','3','4','5','6','7','8','9']
alphabet = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
ALPHABET = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z']
# 验证码一般都无视大小写；验证码长度4个字符
def random_captcha_text(char_set=number+alphabet+ALPHABET, captcha_size=4):
    captcha_text = []
    for i in range(captcha_size):
        c = random.choice(char_set)
        captcha_text.append(c)
    return captcha_text
 
# 生成字符对应的验证码
def gen_captcha_text_and_image():
    image = ImageCaptcha()
 
    captcha_text = random_captcha_text()
    captcha_text = ''.join(captcha_text)
 
    captcha = image.generate(captcha_text)
    #image.write(captcha_text, captcha_text + '.jpg')  # 写到文件
 
    captcha_image = Image.open(captcha)
    captcha_image = np.array(captcha_image)
    return captcha_text, captcha_image
 
if __name__ == '__main__':
    # 测试,将正确的答案也显示在图片上，可以作为数据源，用TensorFlow来训练，获得破解验证码模型
    text, image = gen_captcha_text_and_image()
    f = plt.figure()
    ax = f.add_subplot(111)
    ax.text(0.1, 0.9,text, ha='center', va='center', transform=ax.transAxes)
    plt.imshow(image)
    plt.show()