diff --git "a/1.\351\252\214\350\257\201\347\240\201/tensorflow/README.md" "b/1.\351\252\214\350\257\201\347\240\201/tensorflow/README.md"
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+
+使用TensorFlow去训练自己生成的验证码，
+
+当前进度：
+
+验证码自动生成---完成
diff --git "a/1.\351\252\214\350\257\201\347\240\201/tensorflow/create_image/cteate_image.py" "b/1.\351\252\214\350\257\201\347\240\201/tensorflow/create_image/cteate_image.py"
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+++ "b/1.\351\252\214\350\257\201\347\240\201/tensorflow/create_image/cteate_image.py"
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+#coding:utf-8
+from captcha.image import ImageCaptcha  # pip install captcha
+import numpy as np
+import matplotlib.pyplot as plt
+from PIL import Image
+import random,time
+
+# 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
+    while(1):
+    	text, image = gen_captcha_text_and_image()
+    	print 'begin ',time.ctime(),type(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()
+    	print 'end ',time.ctime()
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