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DCGEN Demonstration using MNIST dataset
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# DCGAN MNIST Demo"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Disclaimer: All code snippets are released under Apache 2.0 License. This is not an official Google product."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Import modules."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from tensorflow.examples.tutorials.mnist import input_data\n",
"import matplotlib.animation as animation\n",
"import cPickle as pickle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Prepare MNIST dataset."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extracting /tmp/data/train-images-idx3-ubyte.gz\n",
"Extracting /tmp/data/train-labels-idx1-ubyte.gz\n",
"Extracting /tmp/data/t10k-images-idx3-ubyte.gz\n",
"Extracting /tmp/data/t10k-labels-idx1-ubyte.gz\n"
]
}
],
"source": [
"mnist = input_data.read_data_sets(\"/tmp/data/\", one_hot=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define DCGAN Model."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def generator(inputs=None, reuse=True):\n",
" depths = [128, 64, 1]\n",
" f_size = 28 / 2**(len(depths)-1)\n",
" i_depth = depths[:-1]\n",
" o_depth = depths[1:]\n",
"\n",
" with tf.variable_scope('generator', reuse=reuse):\n",
" if inputs is None:\n",
" data_num = batch_size\n",
" inputs = tf.random_uniform([data_num, z_dim],\n",
" minval=-1.0, maxval=1.0)\n",
" else:\n",
" data_num = len(inputs)\n",
" inputs = tf.constant(inputs, dtype=tf.float32)\n",
" # reshape from inputs\n",
" with tf.variable_scope('reshape'):\n",
" w0 = tf.get_variable('weights',\n",
" [z_dim, i_depth[0] * f_size * f_size], \n",
" tf.float32, tf.truncated_normal_initializer(stddev=0.02))\n",
" b0 = tf.get_variable('biases',\n",
" [i_depth[0]], tf.float32, tf.zeros_initializer)\n",
"\n",
" tmp = tf.matmul(inputs, w0)\n",
" dc0 = tf.reshape(tmp, [-1, f_size, f_size, i_depth[0]]) + b0\n",
" \n",
" # batch normarization\n",
" mean0, variance0 = tf.nn.moments(dc0, [0, 1, 2]) \n",
" bn0 = tf.nn.batch_normalization(dc0, mean0, variance0, None, None, 1e-5)\n",
" out = tf.nn.relu(bn0)\n",
"\n",
" # deconvolution layers\n",
" for i in range(len(depths)-1):\n",
" with tf.variable_scope('conv%d' % i):\n",
" w = tf.get_variable('weights',\n",
" [5, 5, o_depth[i], i_depth[i]],\n",
" tf.float32, tf.truncated_normal_initializer(stddev=0.02))\n",
" b = tf.get_variable('biases',\n",
" [o_depth[i]], tf.float32, tf.zeros_initializer)\n",
" dc = tf.nn.conv2d_transpose(out, w,\n",
" [data_num, f_size*2**(i+1), f_size*2**(i+1), o_depth[i]],\n",
" [1, 2, 2, 1])\n",
" out = tf.nn.bias_add(dc, b)\n",
" if i < len(depths)-2:\n",
" mean, variance = tf.nn.moments(out, [0, 1, 2])\n",
" tmp = tf.nn.batch_normalization(out, mean, variance, None, None, 1e-5)\n",
" out = tf.nn.relu(tmp)\n",
"\n",
" return tf.nn.sigmoid(out)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define CNN model."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def descriminator(inputs, reuse=True):\n",
" depths = [1, 64, 128]\n",
" i_depth = depths[:-1]\n",
" o_depth = depths[1:]\n",
" with tf.variable_scope('descriminator', reuse=reuse):\n",
" outputs = inputs\n",
" # convolution layer\n",
" for i in range(len(depths)-1):\n",
" with tf.variable_scope('conv%d' % i):\n",
" w = tf.get_variable('weights',\n",
" [5, 5, i_depth[i], o_depth[i]],\n",
" tf.float32, tf.truncated_normal_initializer(stddev=0.02))\n",
" b = tf.get_variable('biases',\n",
" [o_depth[i]], tf.float32,\n",
" tf.zeros_initializer)\n",
" tmp = tf.nn.conv2d(outputs, w, [1, 2, 2, 1], padding='SAME')\n",
" c = tf.nn.bias_add(tmp, b)\n",
" \n",
" # Batch normarization\n",
" mean, variance = tf.nn.moments(c, [0, 1, 2])\n",
" bn = tf.nn.batch_normalization(c, mean, variance, None, None, 1e-5)\n",
" outputs = tf.maximum(0.2 * bn, bn) # Leaky ReLU\n",
"\n",
" # reshepe and fully connect to 2 classes\n",
" with tf.variable_scope('classify'):\n",
" shape = outputs.get_shape().as_list()\n",
" dim = shape[1]*shape[2]*shape[3]\n",
" outputs_flatten = tf.reshape(outputs, [-1, dim])\n",
"\n",
" w = tf.get_variable('weights', [dim, 2],\n",
" tf.float32, tf.truncated_normal_initializer(stddev=0.02))\n",
" b = tf.get_variable('biases', [2],\n",
" tf.float32, tf.zeros_initializer)\n",
"\n",
" labels = tf.matmul(outputs_flatten, w) + b\n",
"\n",
" return labels"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define training algorithms for both models."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"batch_size = 32\n",
"z_dim = 64\n",
"\n",
"x = tf.placeholder(tf.float32, [None, 784])\n",
"images_layered = tf.reshape(x, [-1, 28, 28, 1]) \n",
"logits_from_g = descriminator(generator(reuse=False), reuse=False)\n",
"logits_from_i = descriminator(images_layered)\n",
" \n",
"tmp1 = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n",
" logits_from_i, tf.ones([batch_size], dtype=tf.int64)))\n",
"tmp0 = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n",
" logits_from_g, tf.zeros([batch_size], dtype=tf.int64)))\n",
"d_loss = tmp1 + tmp0\n",
"g_loss = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(\n",
" logits_from_g, tf.ones([batch_size], dtype=tf.int64)))\n",
" \n",
"g_vars = [v for v in tf.trainable_variables() if v.name.startswith('g')]\n",
"d_vars = [v for v in tf.trainable_variables() if v.name.startswith('d')]\n",
"\n",
"g_optimizer = tf.train.AdamOptimizer(learning_rate=0.0001, beta1=0.5).minimize(g_loss, var_list=g_vars)\n",
"d_optimizer = tf.train.AdamOptimizer(learning_rate=0.0001, beta1=0.5).minimize(d_loss, var_list=d_vars)\n",
"\n",
"with tf.control_dependencies([g_optimizer, d_optimizer]):\n",
" train_op = tf.no_op(name='train')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Define a function to generate 8 sample images. This is used to visualize the learning process."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def get_samples(inputs):\n",
" res = sess.run(generator(inputs=inputs))\n",
" samples = []\n",
" for i in range(8):\n",
" samples.append(res[i,:,:,0])\n",
" return samples"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Prepare a session and initialize variables."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
"source": [
"sess = tf.InteractiveSession()\n",
"sess.run(tf.initialize_all_variables())\n",
"saver = tf.train.Saver()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Repeat training loops and generate sample images.\n",
"\n",
"The generated images are serialized in the binary \"DCGAN_samples.data\".\n",
"\n",
"The final model is stored in the binary \"dcgan_session-20000\"."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"200: g_loss=6.168966, d_loss=0.008123\n",
"400: g_loss=4.241621, d_loss=0.051490\n",
"600: g_loss=3.693049, d_loss=0.068292\n",
"800: g_loss=3.681633, d_loss=0.061890\n",
"1000: g_loss=3.124259, d_loss=0.180630\n",
"1200: g_loss=3.599718, d_loss=0.070973\n",
"1400: g_loss=3.044845, d_loss=0.096592\n",
"1600: g_loss=4.380534, d_loss=0.043003\n",
"1800: g_loss=2.400009, d_loss=0.164737\n",
"2000: g_loss=4.039763, d_loss=0.061092\n",
"2200: g_loss=2.040352, d_loss=0.330238\n",
"2400: g_loss=3.913730, d_loss=0.103876\n",
"2600: g_loss=2.701531, d_loss=0.162965\n",
"2800: g_loss=1.245434, d_loss=0.520525\n",
"3000: g_loss=4.765294, d_loss=0.315508\n",
"3200: g_loss=2.931442, d_loss=0.141106\n",
"3400: g_loss=2.279525, d_loss=0.262731\n",
"3600: g_loss=2.581073, d_loss=0.158801\n",
"3800: g_loss=3.128104, d_loss=0.159050\n",
"4000: g_loss=0.902673, d_loss=0.754036\n",
"4200: g_loss=1.360795, d_loss=0.547493\n",
"4400: g_loss=1.914970, d_loss=0.369298\n",
"4600: g_loss=2.455306, d_loss=0.226628\n",
"4800: g_loss=2.049413, d_loss=0.400468\n",
"5000: g_loss=3.126829, d_loss=0.205827\n",
"5200: g_loss=1.807046, d_loss=0.412195\n",
"5400: g_loss=3.643726, d_loss=0.235397\n",
"5600: g_loss=3.250673, d_loss=0.219098\n",
"5800: g_loss=2.968599, d_loss=0.250088\n",
"6000: g_loss=1.917300, d_loss=0.403687\n",
"6200: g_loss=2.773824, d_loss=0.178515\n",
"6400: g_loss=2.215484, d_loss=0.313391\n",
"6600: g_loss=1.266544, d_loss=0.515809\n",
"6800: g_loss=2.548095, d_loss=0.487664\n",
"7000: g_loss=2.223192, d_loss=0.292360\n",
"7200: g_loss=2.307575, d_loss=0.303861\n",
"7400: g_loss=0.824192, d_loss=0.854119\n",
"7600: g_loss=2.014064, d_loss=0.295657\n",
"7800: g_loss=2.087804, d_loss=0.421869\n",
"8000: g_loss=2.948390, d_loss=0.223056\n",
"8200: g_loss=1.680251, d_loss=0.495154\n",
"8400: g_loss=1.730008, d_loss=0.392768\n",
"8600: g_loss=2.583456, d_loss=0.192722\n",
"8800: g_loss=2.958054, d_loss=0.196787\n",
"9000: g_loss=2.958039, d_loss=0.229465\n",
"9200: g_loss=2.092540, d_loss=0.380961\n",
"9400: g_loss=2.037066, d_loss=0.385182\n",
"9600: g_loss=2.373736, d_loss=0.368240\n",
"9800: g_loss=1.750179, d_loss=0.344584\n",
"10000: g_loss=2.112072, d_loss=0.658743\n",
"10200: g_loss=1.890855, d_loss=0.341147\n",
"10400: g_loss=2.254020, d_loss=0.351497\n",
"10600: g_loss=3.153285, d_loss=0.216185\n",
"10800: g_loss=2.280473, d_loss=0.269457\n",
"11000: g_loss=3.127500, d_loss=0.289624\n",
"11200: g_loss=1.709794, d_loss=0.517777\n",
"11400: g_loss=2.824171, d_loss=0.334173\n",
"11600: g_loss=2.895280, d_loss=0.303455\n",
"11800: g_loss=4.624735, d_loss=0.251368\n",
"12000: g_loss=3.145253, d_loss=0.254111\n",
"12200: g_loss=2.556856, d_loss=0.217076\n",
"12400: g_loss=2.938059, d_loss=0.171526\n",
"12600: g_loss=2.694410, d_loss=0.214545\n",
"12800: g_loss=2.393030, d_loss=0.293169\n",
"13000: g_loss=2.627035, d_loss=0.375844\n",
"13200: g_loss=1.123036, d_loss=0.706068\n",
"13400: g_loss=3.189171, d_loss=0.276927\n",
"13600: g_loss=2.857752, d_loss=0.454864\n",
"13800: g_loss=2.652460, d_loss=0.296541\n",
"14000: g_loss=2.632548, d_loss=0.291479\n",
"14200: g_loss=2.777893, d_loss=0.225923\n",
"14400: g_loss=3.156407, d_loss=0.296143\n",
"14600: g_loss=3.896399, d_loss=0.235732\n",
"14800: g_loss=2.588604, d_loss=0.254664\n",
"15000: g_loss=1.778561, d_loss=0.453398\n",
"15200: g_loss=2.944906, d_loss=0.261778\n",
"15400: g_loss=3.148813, d_loss=0.286471\n",
"15600: g_loss=2.043787, d_loss=0.308413\n",
"15800: g_loss=4.906584, d_loss=0.651309\n",
"16000: g_loss=2.657536, d_loss=0.227198\n",
"16200: g_loss=1.987550, d_loss=0.299275\n",
"16400: g_loss=2.093671, d_loss=0.390615\n",
"16600: g_loss=3.180380, d_loss=0.224222\n",
"16800: g_loss=1.581414, d_loss=0.500230\n",
"17000: g_loss=2.191079, d_loss=0.272888\n",
"17200: g_loss=2.828674, d_loss=0.275278\n",
"17400: g_loss=2.984028, d_loss=0.534357\n",
"17600: g_loss=1.976452, d_loss=0.365332\n",
"17800: g_loss=2.700829, d_loss=0.234921\n",
"18000: g_loss=2.227668, d_loss=0.468178\n",
"18200: g_loss=2.322832, d_loss=0.265419\n",
"18400: g_loss=2.222374, d_loss=0.276169\n",
"18600: g_loss=4.644810, d_loss=0.161710\n",
"18800: g_loss=2.766218, d_loss=0.189568\n",
"19000: g_loss=2.467449, d_loss=0.221659\n",
"19200: g_loss=2.867514, d_loss=0.237725\n",
"19400: g_loss=1.538128, d_loss=0.563769\n",
"19600: g_loss=1.775151, d_loss=0.467581\n",
"19800: g_loss=3.064200, d_loss=0.216899\n",
"20000: g_loss=2.634329, d_loss=0.277749\n"
]
}
],
"source": [
"sample_images = []\n",
"sample_inputs = np.random.rand(8, z_dim) * 2.0 - 1.0\n",
"i = 0\n",
"sample_images.append(get_samples(sample_inputs))\n",
"\n",
"for _ in range(20000):\n",
" i += 1\n",
" batch_xs, dummy = mnist.train.next_batch(batch_size)\n",
" sess.run(train_op, feed_dict={x: batch_xs})\n",
" if i % 200 == 0:\n",
" g_loss_val, d_loss_val = sess.run([g_loss, d_loss],\n",
" feed_dict={x: batch_xs})\n",
" print \"%d: g_loss=%f, d_loss=%f\" % (i, g_loss_val, d_loss_val)\n",
" saver.save(sess, 'dcgan_session', global_step=i)\n",
" \n",
" sample_images.append(get_samples(sample_inputs))\n",
" with open('DCGAN_samples.data', 'wb') as file:\n",
" pickle.dump(sample_images, file)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Draw the \"evolution\" of the sample images."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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TQJy9w74zgHXk2b5dk0iYLYbYFMD0cDiMfHiSJHp6egq75McBE2Sgw7PZ7GsO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fr0adm04OegpKSEtrY2PB4Pd+/eBb6/yB5FzjUajbK7u8vY2BjXr1/H7XZjMBjo6emhp6cH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\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l890Nre1TdHETOYjeXalUCrPZDJPJBIPBwCRkiaDZKknZ7roLPT09+PDDD9HT04OBgYFj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\nogwAgBMUZQAAnKAoAwDgxDtLeJdraq1IqQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xdb95e50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"with open('DCGAN_samples.data', 'rb') as file:\n",
" sample_images = pickle.load(file) \n",
"\n",
"fig = plt.figure(figsize=(6,7))\n",
"\n",
"images = []\n",
"i = 0\n",
"for c in [0, 1, 2, 4, 8, 16, 32, 64, 100]:\n",
" subimages = []\n",
" for n in range(8):\n",
" i += 1\n",
" subplot = fig.add_subplot(9, 8, i)\n",
" subplot.set_xticks([])\n",
" subplot.set_yticks([])\n",
" subplot.imshow(sample_images[c][n], vmin=0, vmax=1,\n",
" cmap=plt.cm.gray_r)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Choose two images before and after the morphing."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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RuOB2u7kjTdM0CIKA8Xj8wdgAIjp5abvtZfu4J4LH40E4HEY+n0epVIKiKGwoj8fDHUwu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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xecb3410>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = np.random.rand(2, z_dim) * 2.0 - 1.0\n",
"\n",
"res = sess.run(generator(inputs=x))\n",
"images = [res[0,:,:,0], res[1,:,:,0]]\n",
"\n",
"fig = plt.figure(figsize=(2,1))\n",
"for i in range(2):\n",
" subplot = fig.add_subplot(1, 2, i+1)\n",
" subplot.set_xticks([])\n",
" subplot.set_yticks([])\n",
" subplot.imshow(images[i], vmin=0, vmax=1, cmap=plt.cm.gray_r)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Draw morphing images connecting the selected two images."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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Z2/sIbYQUW12DR/ChKci8J4IR3SjDXEvkcrngdruxtLRkoE7yfKXd6QwKr2me1uePxJwN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\nh2alAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x148de150>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"diff = x[1] - x[0]\n",
"inputs = np.array([x[0] + i * diff / 10.0 for i in range(32)])\n",
"res = sess.run(generator(inputs=inputs))\n",
"\n",
"fig = plt.figure(figsize=(10, 1))\n",
"for i in range(10):\n",
" subplot = fig.add_subplot(1, 10, i+1)\n",
" subplot.set_xticks([])\n",
" subplot.set_yticks([])\n",
" subplot.imshow(res[i,:,:,0], vmin=0, vmax=1, cmap=plt.cm.gray_r) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Generate a \"dancing\" image GIF animation. The image is saved as \"DCGAN_morphing.gif\"."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Done.\n"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAK8AAACvCAYAAACLko51AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAPYQAAD2EBqD+naQAAApdJREFUeJzt17FNHVEURdE7FgE5DZD+lCbowVAe0AOV/JQGyMmeAzux\nZH8GMLK3vFZ8NTrBDuZta62Boi9/ewC8l3jJEi9Z4iVLvGSJlyzxkiVess72HG3bdjEz1zPzNDMv\nnzmI/975zFzOzONa6/nU4a5453u49x8cBW9xMzMPpw72xvs0M3N3dzeHw+GDm+D3jsfj3N7ezvxo\n7pS98b7MzBwOh7m6unr/Mtjv1d9TDzayxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8\nZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkS\nL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6y\nxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImX\nLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1ni\nJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuW\neMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGSJV6yxEuWeMkSL1niJUu8ZImXLPGS\nJV6yxEuWeMkSL1niJUu8ZImXrLOdd+czM8fj8ROnwE+Nnb92u621Xv3gtm1fZ+b+Y7PgTW7WWg+n\nDvbGezEz1zPzNDMvf2Qa/Nr5zFzOzONa6/nU4a544V/kwUaWeMkSL1niJUu8ZImXLPGS9Q24YDIh\n61NQ2gAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xff5f090>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = np.random.rand(3, z_dim) * 2.0 - 1.0\n",
"\n",
"inputs = []\n",
"theta1, theta2 = 0, 0\n",
"for _ in range(64):\n",
" theta1 += 2*np.pi / 64 * 2\n",
" theta2 += 2*np.pi / 64\n",
" inputs.append(np.cos(theta1) * x[0] + \\\n",
" np.sin(theta1)*(np.cos(theta2)*x[1] + np.sin(theta2)*x[2]))\n",
"res = sess.run(generator(inputs=np.array(inputs)))\n",
"\n",
"images = []\n",
"fig = plt.figure(figsize=(2,2))\n",
"for i in range(64):\n",
" subplot = fig.add_subplot(1,1,1)\n",
" subplot.set_xticks([])\n",
" subplot.set_yticks([])\n",
" image = subplot.imshow(res[i,:,:,0], vmin=0, vmax=1, cmap=plt.cm.gray_r)\n",
" images.append([image])\n",
"\n",
"ani = animation.ArtistAnimation(fig, images, interval=10)\n",
"ani.save('DCGAN_morphing.gif', writer='imagemagick', fps=100)\n",
"print 'Done.'"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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