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@kylemcdonald
Last active December 16, 2018 03:34
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BigGAN Search
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "BigGAN Search",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 2",
"name": "python2"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/kylemcdonald/4d94ec8fed6500718d172388bf737a0f/biggan-search.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"metadata": {
"colab_type": "code",
"id": "lOZnst2jeWDL",
"colab": {}
},
"cell_type": "code",
"source": [
"import cStringIO\n",
"import IPython.display\n",
"from IPython.display import clear_output\n",
"import numpy as np\n",
"import PIL.Image\n",
"from scipy.stats import truncnorm\n",
"import tensorflow as tf\n",
"import tensorflow_hub as hub\n",
"from google.colab import files\n",
"import cv2"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"colab_type": "code",
"id": "OJCIhQPClKJ1",
"colab": {}
},
"cell_type": "code",
"source": [
"module_path = 'https://tfhub.dev/deepmind/biggan-128/2' # 128x128 BigGAN\n",
"# module_path = 'https://tfhub.dev/deepmind/biggan-256/2' # 256x256 BigGAN\n",
"# module_path = 'https://tfhub.dev/deepmind/biggan-512/2' # 512x512 BigGAN"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"colab_type": "code",
"id": "tVgwgJiCH3PV",
"outputId": "89a30e46-ddb6-49ec-ba60-ef5c2a176147",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 53
}
},
"cell_type": "code",
"source": [
"tf.reset_default_graph()\n",
"module = hub.Module(module_path)\n",
"inputs = {k: tf.placeholder(v.dtype, v.get_shape().as_list(), k)\n",
" for k, v in module.get_input_info_dict().iteritems()}\n",
"output = module(inputs)"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"INFO:tensorflow:Using /tmp/tfhub_modules to cache modules.\n",
"INFO:tensorflow:Saver not created because there are no variables in the graph to restore\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"colab_type": "code",
"id": "46M8prJPDEsV",
"colab": {}
},
"cell_type": "code",
"source": [
"input_z = inputs['z']\n",
"input_y = inputs['y']\n",
"input_trunc = inputs['truncation']\n",
"\n",
"dim_z = input_z.shape.as_list()[1]\n",
"vocab_size = input_y.shape.as_list()[1]\n",
"\n",
"def truncated_z_sample(batch_size, truncation=1., seed=None):\n",
" state = None if seed is None else np.random.RandomState(seed)\n",
" values = truncnorm.rvs(-2, 2, size=(batch_size, dim_z), random_state=state)\n",
" return truncation * values\n",
"\n",
"def one_hot(index, vocab_size=vocab_size):\n",
" index = np.asarray(index)\n",
" if len(index.shape) == 0:\n",
" index = np.asarray([index])\n",
" assert len(index.shape) == 1\n",
" num = index.shape[0]\n",
" output = np.zeros((num, vocab_size), dtype=np.float32)\n",
" output[np.arange(num), index] = 1\n",
" return output\n",
"\n",
"def imconvert_uint8(im):\n",
" im = np.clip(((im + 1) / 2.0) * 256, 0, 255)\n",
" im = np.uint8(im)\n",
" return im\n",
"\n",
"def imconvert_float32(im):\n",
" im = np.float32(im)\n",
" im = (im / 256) * 2.0 - 1\n",
" return im\n",
"\n",
"def imread(filename):\n",
" img = cv2.imread(filename, cv2.IMREAD_UNCHANGED)\n",
" if img is not None:\n",
" if len(img.shape) > 2:\n",
" img = img[...,::-1]\n",
" return img\n",
" \n",
"def imwrite(filename, img):\n",
" if img is not None:\n",
" if len(img.shape) > 2:\n",
" img = img[...,::-1]\n",
" return cv2.imwrite(filename, img)\n",
"\n",
"def imgrid(imarray, cols=5, pad=1):\n",
" if imarray.dtype != np.uint8:\n",
" raise ValueError('imgrid input imarray must be uint8')\n",
" pad = int(pad)\n",
" assert pad >= 0\n",
" cols = int(cols)\n",
" assert cols >= 1\n",
" N, H, W, C = imarray.shape\n",
" rows = int(np.ceil(N / float(cols)))\n",
" batch_pad = rows * cols - N\n",
" assert batch_pad >= 0\n",
" post_pad = [batch_pad, pad, pad, 0]\n",
" pad_arg = [[0, p] for p in post_pad]\n",
" imarray = np.pad(imarray, pad_arg, 'constant', constant_values=255)\n",
" H += pad\n",
" W += pad\n",
" grid = (imarray\n",
" .reshape(rows, cols, H, W, C)\n",
" .transpose(0, 2, 1, 3, 4)\n",
" .reshape(rows*H, cols*W, C))\n",
" if pad:\n",
" grid = grid[:-pad, :-pad]\n",
" return grid\n",
"\n",
"def imshow(a, format='png', jpeg_fallback=True):\n",
" a = np.asarray(a, dtype=np.uint8)\n",
" str_file = cStringIO.StringIO()\n",
" PIL.Image.fromarray(a).save(str_file, format)\n",
" im_data = str_file.getvalue()\n",
" try:\n",
" disp = IPython.display.display(IPython.display.Image(im_data))\n",
" except IOError:\n",
" if jpeg_fallback and format != 'jpeg':\n",
" print ('Warning: image was too large to display in format \"{}\"; '\n",
" 'trying jpeg instead.').format(format)\n",
" return imshow(a, format='jpeg')\n",
" else:\n",
" raise\n",
" return disp"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"colab_type": "code",
"id": "rYJor5bOaVn1",
"colab": {}
},
"cell_type": "code",
"source": [
"initializer = tf.global_variables_initializer()\n",
"sess = tf.Session()\n",
"sess.run(initializer)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "7tZONfT3BXFm",
"colab_type": "code",
"colab": {
"resources": {
"http://localhost:8080/nbextensions/google.colab/files.js": {
"data": "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",
"ok": true,
"headers": [
[
"content-type",
"application/javascript"
]
],
"status": 200,
"status_text": ""
}
},
"base_uri": "https://localhost:8080/",
"height": 71
},
"outputId": "3c4a703c-1033-41db-da32-e8068943f8ca"
},
"cell_type": "code",
"source": [
"y = 259 # pomeranian\n",
"n_samples = 9\n",
"truncation = 0.5\n",
"\n",
"# uncomment to upload target\n",
"uploaded = None\n",
"# uploaded = files.upload()\n",
"# phi_target = imread(uploaded.keys()[0])\n",
"# phi_target = imconvert_float32(phi_target)\n",
"# phi_target = np.expand_dims(phi_target, 0)\n",
"# phi_target = phi_target[:128,:128]\n",
"# phi_target = np.repeat(phi_target, n_samples, axis=0)"
],
"execution_count": 65,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"\n",
" <input type=\"file\" id=\"files-be91aabd-f158-4ce8-b237-a00dc8e6aeff\" name=\"files[]\" multiple disabled />\n",
" <output id=\"result-be91aabd-f158-4ce8-b237-a00dc8e6aeff\">\n",
" Upload widget is only available when the cell has been executed in the\n",
" current browser session. Please rerun this cell to enable.\n",
" </output>\n",
" <script src=\"/nbextensions/google.colab/files.js\"></script> "
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "stream",
"text": [
"Saving pom-new.jpg to pom-new.jpg\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "ASRsAAa7hU_e",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"label = one_hot([y] * n_samples, vocab_size)\n",
"\n",
"# use z from manifold\n",
"if uploaded is not None:\n",
" z_target = np.repeat(truncated_z_sample(1, truncation, 0), n_samples, axis=0)\n",
" feed_dict = {input_z: z_target, input_y: label, input_trunc: truncation}\n",
" phi_target = sess.run(output, feed_dict=feed_dict)\n",
"\n",
"target_im = imgrid(imconvert_uint8(phi_target), cols=3)\n",
"cost = tf.reduce_sum(tf.pow(output - phi_target, 2))\n",
"dc_dz, = tf.gradients(cost, [input_z])"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "HMHUBeDxgz1Q",
"colab_type": "code",
"outputId": "fbe41f0c-3626-4f83-9b18-285041630224",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 421
}
},
"cell_type": "code",
"source": [
"!mkdir -p frames\n",
"!rm frames/*\n",
"\n",
"lr = 0.0001\n",
"z_guess = np.asarray(truncated_z_sample(n_samples, truncation/2, 1))\n",
"feed_dict = {input_z: z_guess, input_y: label, input_trunc: truncation}\n",
"phi_impostor = sess.run(output, feed_dict=feed_dict)\n",
"impostor_im = imgrid(imconvert_uint8(phi_impostor), cols=3)\n",
"comparison = None\n",
"\n",
"try:\n",
" for i in range(1000):\n",
" feed_dict = {input_z: z_guess, input_y: label, input_trunc: truncation}\n",
" grad = dc_dz.eval(session=sess, feed_dict=feed_dict)\n",
" z_guess -= grad * lr\n",
"\n",
" # decay/attenuate learning rate to 0.05 of the original over 1000 frames\n",
" lr *= 0.997\n",
"\n",
" indices = np.logical_or(z_guess <= -2*truncation, z_guess >= +2*truncation)\n",
" z_guess[indices] = np.random.randn(np.count_nonzero(indices))\n",
"\n",
" feed_dict = {input_z: z_guess, input_y: label, input_trunc: truncation}\n",
" phi_guess = sess.run(output, feed_dict=feed_dict)\n",
" guess_im = imgrid(imconvert_uint8(phi_guess), cols=3)\n",
"\n",
" imwrite('frames/{:06d}.png'.format(i), guess_im)\n",
"\n",
" # display the progress every 10 frames\n",
" if i % 10 == 0:\n",
" comparison = imgrid(np.asarray([impostor_im, guess_im, target_im]), cols=3, pad=10)\n",
"\n",
" clear_output(wait=True)\n",
" print('lr: {}, iter: {}, grad_std: {}'.format(lr, i, np.std(grad)))\n",
" imshow(comparison, format='jpeg')\n",
"except KeyboardInterrupt:\n",
" pass"
],
"execution_count": 68,
"outputs": [
{
"output_type": "stream",
"text": [
"lr: 5.09215819143e-06, iter: 990, grad_std: 309.84664917\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Image object>"
],
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HRGlikb1IoYo3bY7YBOelWf7Rin3eUw2R8Dn7x9ahutLil+Z1DbenNY0ii3uiGjDDsfSu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\n"
},
"metadata": {
"tags": []
}
}
]
},
{
"metadata": {
"id": "OA4ODfiG1ArY",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"# !apt update -qq && apt install -qq ffmpeg\n",
"!ffmpeg -y -v quiet -r 30 -i 'frames/%06d.png' -pix_fmt yuv420p output.mp4"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "Dmsmd2t4zt5K",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"files.download('output.mp4') "
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "SQFsMdFJ6wH0",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 347
},
"outputId": "3c9cbee2-4e19-4cb9-85a7-aaa3cac9209d"
},
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"plt.hist(z_target.flat, histtype='step', label='target', lw=1)\n",
"plt.hist(z_guess.flat, histtype='step', label='guess', lw=1)\n",
"plt.legend()\n",
"plt.show()"
],
"execution_count": 71,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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kAAAMQCADAGAAAhkAAAMQyAAAGIBABgDAAAQyAAAGIJABADAAgQwAgAEIZAAADEAgAwBg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\nQAYAwAAEMgAABiCQAQAwAIEMAIAB/hcjkzyKmD5TYwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f5474f0af50>"
]
},
"metadata": {
"tags": []
}
}
]
}
]
}
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