学习进度笔记19

观看Tensorflow案例实战视频课程19 验证码数据生成

import tensorflow as tf
from captcha.image import ImageCaptcha
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import random

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']

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

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')

    captcha_image=Image.open(captcha)
    captcha_image=np.array(captcha_image)
    return captcha_text,captcha_image
if __name__=='__main__':
    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()