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@uduse
Last active March 15, 2018 15:10
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讨伐验证码 Totally Fucked Captcha
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 讨伐验证码(一):破解单数字"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 准备工作"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"讨伐验证码系列将由浅入深地教你如何用深度学习框架 Keras 搭建神经网络来破解验证码。本文为系列的第一部分,从最简单的单数字验证码入手。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"我们悲惨的实验对象是 Python 验证码库 `captcha`。先来看看这个库生成的验证码长什么样子。"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:36:25.459872Z",
"start_time": "2018-03-15T14:36:25.227410Z"
}
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<PIL.Image.Image image mode=RGB size=40x80 at 0x7F49E6BA6860>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%matplotlib inline\n",
"import captcha\n",
"from captcha.image import ImageCaptcha\n",
"\n",
"IMG_WIDTH = 40\n",
"IMG_HEIGHT = 80\n",
"\n",
"IMG_CAPTCHA = ImageCaptcha(width=IMG_WIDTH, height=IMG_HEIGHT)\n",
"IMG_CAPTCHA.generate_image('5')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"只看一张图还不是很直观,让我们定义两个辅助函数,然后画出各种不一样数字的验证码。"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:36:25.464430Z",
"start_time": "2018-03-15T14:36:25.461082Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"def img_from_digit(digit):\n",
" return IMG_CAPTCHA.generate_image(str(digit))\n",
"\n",
"def img_vec_from_digit(digit):\n",
" return np.array(img_from_digit(digit))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"用 `matplotlib` 画出整整齐齐的验证码网格,每一个格子都是一个验证码。"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:36:26.795606Z",
"start_time": "2018-03-15T14:36:25.465511Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f49e63f89b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import pyplot as plt\n",
"import math\n",
"\n",
"def display_imgs(vec_title_pairs, num_cols=10):\n",
" num_rows = int(math.ceil(len(vec_title_pairs) / num_cols))\n",
" num_cols = min(num_cols, len(vec_title_pairs))\n",
" fig, subplots = plt.subplots(num_rows, num_cols, squeeze=False)\n",
" fig.set_dpi(300)\n",
" for subplot in subplots.flatten():\n",
" subplot.axis('off')\n",
" for (img_vec, title), subplot in zip(vec_title_pairs, subplots.flatten()):\n",
" subplot.imshow(img_vec)\n",
" subplot.set_title(title)\n",
" fig.tight_layout(pad=0)\n",
" plt.show()\n",
"\n",
"vec_title_pairs = [(img_vec_from_digit(i), i) for _ in range (3) for i in range(10)]\n",
"display_imgs(vec_title_pairs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"嗯,看起来不是很难,也就是比 MNIST 数据集稍微复杂些,多了图像的旋转和一些噪音。在 MNIST 数据集上,简单的全连接神经网络就可以达到 90% 以上的测试集正确率。那我们就先定一个小目标,用和 MNIST 一样大小的数据量(60k 训练,10k 测试),训练一个能达到 80% 以上正确率的神经网络。"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 制作数据"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"制作一份和 MNIST 一样大小的数据集。因为神经网络更加擅长处理较小的值,像接近 0 或 1 的这种,我们可以通过归一化样本来利用这一点。图像是用 RGB 编码的,数据类型为 `uint8`,所以值域是 0 ~ 255。我们通过把样本的 RGB 值都除以 255 来归一化,确保这些值都在 0 ~ 1 的区间内。同时,通过观察训练集,不难发现颜色对判断数字的影响并不大,干脆我们丢掉 RGB 的颜色信息,直接用灰度吧。通常灰度值的计算并不是直接平均 RGB,但我们偷个懒,就这么办。"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:36:26.854156Z",
"start_time": "2018-03-15T14:36:26.797366Z"
}
},
"outputs": [],
"source": [
"import random\n",
"\n",
"def one_hot_encode(digit):\n",
" img_vec = np.zeros((10,))\n",
" img_vec[digit] = 1\n",
" return img_vec\n",
"\n",
"def normalize_img_vec(img_vec):\n",
" return img_vec.mean(-1, keepdims=True) / 255\n",
"\n",
"def denormalize_img_vec(img_vec):\n",
" return (img_vec * 255).astype('uint8')\n",
"\n",
"def sample():\n",
" digit = random.randint(0, 9)\n",
" return normalize_img_vec(img_vec_from_digit(digit)), one_hot_encode(digit)\n",
"\n",
"def make_data(num_samples):\n",
" X, Y = zip(*(sample() for i in range(num_samples)))\n",
" return np.asarray(X), np.asarray(Y)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:37:19.315889Z",
"start_time": "2018-03-15T14:36:26.855742Z"
}
},
"outputs": [],
"source": [
"train_x, train_y = make_data(60000)\n",
"test_x, test_y = make_data(10000)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:37:19.320509Z",
"start_time": "2018-03-15T14:37:19.317391Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(60000, 80, 40, 1) (60000, 10)\n",
"(10000, 80, 40, 1) (10000, 10)\n"
]
}
],
"source": [
"print(train_x.shape, train_y.shape)\n",
"print(test_x.shape, test_y.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 构造网络"
]
},
{
"cell_type": "markdown",
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-03T08:14:11.757441Z",
"start_time": "2018-03-03T08:14:11.488934Z"
}
},
"source": [
"既然我们的目标并不是很高,那就先使用简单的双层全连接网络。因为是多分类问题(十选一),所以选择 `softmax` 作为最后一层的输出、`categorical_crossentropy` 为损失函数。优化函数则选择烂大街的 `adam`。\n",
"\n",
"至于具体的网络超参,输入拍平后有 3200 个特征信息,所以选择 512 个连接单元,确保信息量不会丢失太多。毕竟全连接层无法像卷积层那样重复学习到空间上的特征(我们第一步就是拍平输入,所以二维的空间关系也直接丢失了)。\n",
"\n",
"BatchNormalization 和 Dropout 则是加速训练和防止过拟合的标配。不过注意,两者一起用时需要做数学上的调整,要看所使用的框架支不支持。你问 Keras 支不支持?Keras 是支持的。我就明确地给你告诉这一点。"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:37:20.201506Z",
"start_time": "2018-03-15T14:37:19.321659Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/zeyi/.virtualenvs/mermaid/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
" from ._conv import register_converters as _register_converters\n",
"Using TensorFlow backend.\n",
"/home/zeyi/.virtualenvs/mermaid/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6\n",
" return f(*args, **kwds)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"input_1 (InputLayer) (None, 80, 40, 1) 0 \n",
"_________________________________________________________________\n",
"flatten_1 (Flatten) (None, 3200) 0 \n",
"_________________________________________________________________\n",
"dense_1 (Dense) (None, 512) 1638912 \n",
"_________________________________________________________________\n",
"batch_normalization_1 (Batch (None, 512) 2048 \n",
"_________________________________________________________________\n",
"dropout_1 (Dropout) (None, 512) 0 \n",
"_________________________________________________________________\n",
"dense_2 (Dense) (None, 512) 262656 \n",
"_________________________________________________________________\n",
"batch_normalization_2 (Batch (None, 512) 2048 \n",
"_________________________________________________________________\n",
"dropout_2 (Dropout) (None, 512) 0 \n",
"_________________________________________________________________\n",
"dense_3 (Dense) (None, 10) 5130 \n",
"=================================================================\n",
"Total params: 1,910,794\n",
"Trainable params: 1,908,746\n",
"Non-trainable params: 2,048\n",
"_________________________________________________________________\n"
]
}
],
"source": [
"from IPython.display import SVG\n",
"from keras.models import Model\n",
"from keras.layers import *\n",
"from keras.utils.vis_utils import model_to_dot\n",
"\n",
"def make_model():\n",
" visible = Input((IMG_HEIGHT, IMG_WIDTH, 1))\n",
" x = Flatten()(visible)\n",
" x = Dense(512, activation='relu')(x)\n",
" x = BatchNormalization()(x)\n",
" x = Dropout(0.5)(x)\n",
" x = Dense(512, activation='relu')(x)\n",
" x = BatchNormalization()(x)\n",
" x = Dropout(0.5)(x)\n",
" output = Dense(10, activation='softmax')(x)\n",
"\n",
" model = Model(inputs=visible, outputs=output)\n",
" model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['acc'])\n",
" model.summary()\n",
" return model\n",
"\n",
"model = make_model()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 训练网络"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-15T14:38:44.079324Z",
"start_time": "2018-03-15T14:37:20.202820Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/5\n",
"60000/60000 [==============================] - 17s 286us/step - loss: 0.5830 - acc: 0.8135\n",
"Epoch 2/5\n",
"60000/60000 [==============================] - 16s 271us/step - loss: 0.4046 - acc: 0.8706\n",
"Epoch 3/5\n",
"60000/60000 [==============================] - 16s 273us/step - loss: 0.3924 - acc: 0.8726\n",
"Epoch 4/5\n",
"60000/60000 [==============================] - 16s 273us/step - loss: 0.4001 - acc: 0.8719\n",
"Epoch 5/5\n",
"60000/60000 [==============================] - 16s 273us/step - loss: 0.4224 - acc: 0.8626\n",
"10000/10000 [==============================] - 1s 90us/step\n",
"Accuracy: 0.878\n"
]
}
],
"source": [
"model.fit(train_x, train_y, epochs=5, batch_size=32)\n",
"loss, acc = model.evaluate(test_x, test_y)\n",
"print(\"Accuracy: \", acc)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"虽然网络参数还有很大的精调空间,但是我们已经完成了小目标,复杂的东西我们后面几期再加上。\n",
"\n",
"给自己拉几个小呲花,我们下期再见 🎉🎉🎉"
]
}
],
"metadata": {
"hide_input": false,
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
},
"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"toc_cell": false,
"toc_position": {},
"toc_section_display": "block",
"toc_window_display": false
},
"varInspector": {
"cols": {
"lenName": 16,
"lenType": 16,
"lenVar": 40
},
"kernels_config": {
"python": {
"delete_cmd_postfix": "",
"delete_cmd_prefix": "del ",
"library": "var_list.py",
"varRefreshCmd": "print(var_dic_list())"
},
"r": {
"delete_cmd_postfix": ") ",
"delete_cmd_prefix": "rm(",
"library": "var_list.r",
"varRefreshCmd": "cat(var_dic_list()) "
}
},
"types_to_exclude": [
"module",
"function",
"builtin_function_or_method",
"instance",
"_Feature"
],
"window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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