深度学习训练验证码

• python captcha库生成验证码

from captcha.image import ImageCaptcha
import matplotlib.pyplot as plt
import numpy as np
import random
import string

characters = string.digits + string.ascii_uppercase
print(characters)

generator = ImageCaptcha(width=170, height=80)
random_str = ''.join([random.choice(characters) for j in range(4)])
img = generator.generate_image(random_str)

plt.imshow(img)
plt.title(random_str)
plt.show()

from captcha.image import ImageCaptcha
help(ImageCaptcha)
__init__(self, width=160, height=60, fonts=None, font_sizes=None)

• ImageCaptcha生成验证码默认width=160, height=60

# -*- coding:utf-8 -*-
from  captcha.image import ImageCaptcha
import numpy as  np
import matplotlib.pyplot as  plt
from  PIL import Image
import random
import tensorflow as tf

char_set = string.digits + string.ascii_lowercase + string.ascii_uppercase

##生成n位验证码字符 这里n=4
def random_captcha_text(char_set=char_set, captcha_size=4):
    captcha_text = []
    for i in range(captcha_size):
        c = random.choice(char_set)
        captcha_text.append(c)
    return captcha_text

##使用ImageCaptcha库生成验证码
def gen_captcha_text_and_image():
    image = ImageCaptcha()
    captcha_text = random_captcha_text()
    captcha_text = ''.join(captcha_text)
    captcha = image.generate(captcha_text)
    captcha_image = Image.open(captcha)
    captcha_image = np.array(captcha_image)
    return captcha_text, captcha_image

• python find函数

str.find(str, beg=0, end=len(string))
参数：
str -- 指定检索的字符串
beg -- 开始索引，默认为0。
end -- 结束索引，默认为字符串的长度。
返回值：
如果包含子字符串返回开始的索引值，否则返回-1。