diff --git a/Shan_Copy_of_deepdream.ipynb b/Shan_Copy_of_deepdream.ipynb new file mode 100644 index 0000000..5793dad --- /dev/null +++ b/Shan_Copy_of_deepdream.ipynb @@ -0,0 +1,750 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1SgrstLXNbG_" + }, + "source": [ + "##### Copyright 2019 The TensorFlow Authors." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "cellView": "form", + "id": "k7gifg92NbG9" + }, + "outputs": [], + "source": [ + "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n", + "# you may not use this file except in compliance with the License.\n", + "# You may obtain a copy of the License at\n", + "#\n", + "# https://www.apache.org/licenses/LICENSE-2.0\n", + "#\n", + "# Unless required by applicable law or agreed to in writing, software\n", + "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", + "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", + "# See the License for the specific language governing permissions and\n", + "# limitations under the License." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "dCMqzy7BNbG9" + }, + "source": [ + "# DeepDream" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2yqCPS8SNbG8" + }, + "source": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
\n", + " View on TensorFlow.org\n", + " \n", + " Run in Google Colab\n", + " \n", + " View source on GitHub\n", + " \n", + " Download notebook\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XPDKhwPcNbG7" + }, + "source": [ + "This tutorial contains a minimal implementation of DeepDream, as described in this [blog post](https://ai.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html) by Alexander Mordvintsev.\n", + "\n", + "DeepDream is an experiment that visualizes the patterns learned by a neural network. Similar to when a child watches clouds and tries to interpret random shapes, DeepDream over-interprets and enhances the patterns it sees in an image.\n", + "\n", + "It does so by forwarding an image through the network, then calculating the gradient of the image with respect to the activations of a particular layer. The image is then modified to increase these activations, enhancing the patterns seen by the network, and resulting in a dream-like image. This process was dubbed \"Inceptionism\" (a reference to [InceptionNet](https://arxiv.org/pdf/1409.4842.pdf), and the [movie](https://en.wikipedia.org/wiki/Inception) Inception).\n", + "\n", + "Let's demonstrate how you can make a neural network \"dream\" and enhance the surreal patterns it sees in an image.\n", + "\n", + "![Dogception](https://www.tensorflow.org/tutorials/generative/images/dogception.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "id": "Sc5Yq_Rgxreb" + }, + "outputs": [], + "source": [ + "import tensorflow as tf" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "id": "g_Qp173_NbG5" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "import matplotlib as mpl\n", + "\n", + "import IPython.display as display\n", + "import PIL.Image" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "wgeIJg82NbG4" + }, + "source": [ + "## Choose an image to dream-ify" + ] + }, + { + "cell_type": "code", + "source": [ + "url = '/content/Chiranjeevi.jpg'" + ], + "metadata": { + "id": "66mwCfzjhmpH" + }, + "execution_count": 36, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yt6zam_9NbG4" + }, + "source": [ + "For this tutorial, let's use an image of a [labrador](https://commons.wikimedia.org/wiki/File:YellowLabradorLooking_new.jpg)." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "id": "Y5BPgc8NNbG0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 534 + }, + "outputId": "6256a940-39cc-4309-97b1-a9215d80ff3f" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "image/png": 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\n", 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\n" + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "Image cc-by: Von.grzanka" + ] + }, + "metadata": {} + } + ], + "source": [ + "# Download an image and read it into a NumPy array.\n", + "def download(url, max_dim=None):\n", + " name = url.split('/')[-1]\n", + " #image_path = tf.keras.utils.get_file(name, origin=url)\n", + " #img = PIL.Image.open(image_path)\n", + " img = PIL.Image.open(url)\n", + " if max_dim:\n", + " img.thumbnail((max_dim, max_dim))\n", + " return np.array(img)\n", + "\n", + "# Normalize an image\n", + "def deprocess(img):\n", + " img = 255*(img + 1.0)/2.0\n", + " return tf.cast(img, tf.uint8)\n", + "\n", + "# Display an image\n", + "def show(img):\n", + " display.display(PIL.Image.fromarray(np.array(img)))\n", + "\n", + "# Define the url variable within this cell\n", + "url = '/content/Chiranjeevi.jpg'\n", + "\n", + "# Downsizing the image makes it easier to work with.\n", + "original_img = download(url, max_dim=500)\n", + "show(original_img)\n", + "display.display(display.HTML('Image cc-by: Von.grzanka'))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "F4RBFfIWNbG0" + }, + "source": [ + "## Prepare the feature extraction model" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cruNQmMDNbGz" + }, + "source": [ + "Download and prepare a pre-trained image classification model. You will use [InceptionV3](https://keras.io/api/applications/inceptionv3/) which is similar to the model originally used in DeepDream. Note that any [pre-trained model](https://keras.io/api/applications/#available-models) will work, although you will have to adjust the layer names below if you change this." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "id": "GlLi48GKNbGy" + }, + "outputs": [], + "source": [ + "base_model = tf.keras.applications.InceptionV3(include_top=False, weights='imagenet')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Bujb0jPNNbGx" + }, + "source": [ + "The idea in DeepDream is to choose a layer (or layers) and maximize the \"loss\" in a way that the image increasingly \"excites\" the layers. The complexity of the features incorporated depends on layers chosen by you, i.e, lower layers produce strokes or simple patterns, while deeper layers give sophisticated features in images, or even whole objects." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "qOVmDO4LNbGv" + }, + "source": [ + "The InceptionV3 architecture is quite large (for a graph of the model architecture see TensorFlow's [research repo](https://github.com/tensorflow/models/tree/master/research/slim)). For DeepDream, the layers of interest are those where the convolutions are concatenated. There are 11 of these layers in InceptionV3, named 'mixed0' though 'mixed10'. Using different layers will result in different dream-like images. Deeper layers respond to higher-level features (such as eyes and faces), while earlier layers respond to simpler features (such as edges, shapes, and textures). Feel free to experiment with the layers selected below, but keep in mind that deeper layers (those with a higher index) will take longer to train on since the gradient computation is deeper." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "id": "08KB502ONbGt" + }, + "outputs": [], + "source": [ + "# Maximize the activations of these layers\n", + "names = ['mixed3', 'mixed5']\n", + "layers = [base_model.get_layer(name).output for name in names]\n", + "\n", + "# Create the feature extraction model\n", + "dream_model = tf.keras.Model(inputs=base_model.input, outputs=layers)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sb7u31B4NbGt" + }, + "source": [ + "## Calculate loss\n", + "\n", + "The loss is the sum of the activations in the chosen layers. The loss is normalized at each layer so the contribution from larger layers does not outweigh smaller layers. Normally, loss is a quantity you wish to minimize via gradient descent. In DeepDream, you will maximize this loss via gradient ascent." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "id": "8MhfSweXXiuq" + }, + "outputs": [], + "source": [ + "def calc_loss(img, model):\n", + " # Pass forward the image through the model to retrieve the activations.\n", + " # Converts the image into a batch of size 1.\n", + " img_batch = tf.expand_dims(img, axis=0)\n", + " layer_activations = model(img_batch)\n", + " if len(layer_activations) == 1:\n", + " layer_activations = [layer_activations]\n", + "\n", + " losses = []\n", + " for act in layer_activations:\n", + " loss = tf.math.reduce_mean(act)\n", + " losses.append(loss)\n", + "\n", + " return tf.reduce_sum(losses)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "k4TCNsAUO9kI" + }, + "source": [ + "## Gradient ascent\n", + "\n", + "Once you have calculated the loss for the chosen layers, all that is left is to calculate the gradients with respect to the image, and add them to the original image.\n", + "\n", + "Adding the gradients to the image enhances the patterns seen by the network. At each step, you will have created an image that increasingly excites the activations of certain layers in the network.\n", + "\n", + "The method that does this, below, is wrapped in a `tf.function` for performance. It uses an `input_signature` to ensure that the function is not retraced for different image sizes or `steps`/`step_size` values. See the [Concrete functions guide](../../guide/function.ipynb) for details." + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "id": "qRScWg_VNqvj" + }, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "class DeepDream(tf.Module):\n", + " def __init__(self, model):\n", + " self.model = model\n", + "\n", + " @tf.function(\n", + " input_signature=(\n", + " tf.TensorSpec(shape=[None,None,3], dtype=tf.float32),\n", + " tf.TensorSpec(shape=[], dtype=tf.int32),\n", + " tf.TensorSpec(shape=[], dtype=tf.float32),)\n", + " )\n", + " def __call__(self, img, steps, step_size):\n", + " print(\"Tracing\")\n", + " loss = tf.constant(0.0)\n", + " for n in tf.range(steps):\n", + " with tf.GradientTape() as tape:\n", + " # This needs gradients relative to `img`\n", + " # `GradientTape` only watches `tf.Variable`s by default\n", + " tape.watch(img)\n", + " loss = calc_loss(img, self.model)\n", + "\n", + " # Calculate the gradient of the loss with respect to the pixels of the input image.\n", + " gradients = tape.gradient(loss, img)\n", + "\n", + " # Normalize the gradients.\n", + " gradients /= tf.math.reduce_std(gradients) + 1e-8\n", + "\n", + " # In gradient ascent, the \"loss\" is maximized so that the input image increasingly \"excites\" the layers.\n", + " # You can update the image by directly adding the gradients (because they're the same shape!)\n", + " img = img + gradients*step_size\n", + " img = tf.clip_by_value(img, -1, 1)\n", + "\n", + " return loss, img" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "id": "yB9pTqn6xfuK" + }, + "outputs": [], + "source": [ + "deepdream = DeepDream(dream_model)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XLArRTVHZFAi" + }, + "source": [ + "## Main Loop" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "id": "9vHEcy7dTysi" + }, + "outputs": [], + "source": [ + "def run_deep_dream_simple(img, steps=100, step_size=0.01):\n", + " # Convert from uint8 to the range expected by the model.\n", + " #img = tf.keras.applications.inception_v3.preprocess_input(img)\n", + " img = url\n", + " img = tf.convert_to_tensor(img)\n", + " step_size = tf.convert_to_tensor(step_size)\n", + " steps_remaining = steps\n", + " step = 0\n", + " while steps_remaining:\n", + " if steps_remaining>100:\n", + " run_steps = tf.constant(100)\n", + " else:\n", + " run_steps = tf.constant(steps_remaining)\n", + " steps_remaining -= run_steps\n", + " step += run_steps\n", + "\n", + " loss, img = deepdream(img, run_steps, tf.constant(step_size))\n", + "\n", + " display.clear_output(wait=True)\n", + " show(deprocess(img))\n", + " print (\"Step {}, loss {}\".format(step, loss))\n", + "\n", + "\n", + " result = deprocess(img)\n", + " display.clear_output(wait=True)\n", + " show(result)\n", + "\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "id": "tEfd00rr0j8Z", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 703 + }, + "outputId": "329d3f20-66bf-4b67-87dc-8ba290d4c671" + }, + "outputs": [ + { + "output_type": "error", + "ename": "TypeError", + "evalue": "Binding inputs to tf.function failed due to `Can not cast TensorSpec(shape=(), dtype=tf.string, name=None) to TensorSpec(shape=(None, None, 3), dtype=tf.float32, name=None)`. Received args: (, , ) and kwargs: {} for signature: (img: TensorSpec(shape=(None, None, 3), dtype=tf.float32, name=None), steps: TensorSpec(shape=(), dtype=tf.int32, name=None), step_size: TensorSpec(shape=(), dtype=tf.float32, name=None)).", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m dream_img = run_deep_dream_simple(img=original_img, \n\u001b[0m\u001b[1;32m 2\u001b[0m steps=100, step_size=0.01)\n", + "\u001b[0;32m\u001b[0m in \u001b[0;36mrun_deep_dream_simple\u001b[0;34m(img, steps, step_size)\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0mstep\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mrun_steps\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 17\u001b[0;31m \u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdeepdream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_steps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconstant\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 18\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 19\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclear_output\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/tensorflow/python/util/traceback_utils.py\u001b[0m in \u001b[0;36merror_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0mfiltered_tb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_traceback_frames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 153\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_traceback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiltered_tb\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 154\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 155\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0mfiltered_tb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/tensorflow/python/eager/polymorphic_function/function_type_utils.py\u001b[0m in \u001b[0;36mbind_function_inputs\u001b[0;34m(args, kwargs, function_type, default_values)\u001b[0m\n\u001b[1;32m 444\u001b[0m )\n\u001b[1;32m 445\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 446\u001b[0;31m raise TypeError(\n\u001b[0m\u001b[1;32m 447\u001b[0m \u001b[0;34mf\"Binding inputs to tf.function failed due to `{e}`. \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;34mf\"Received args: {args} and kwargs: {sanitized_kwargs} for signature:\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: Binding inputs to tf.function failed due to `Can not cast TensorSpec(shape=(), dtype=tf.string, name=None) to TensorSpec(shape=(None, None, 3), dtype=tf.float32, name=None)`. Received args: (, , ) and kwargs: {} for signature: (img: TensorSpec(shape=(None, None, 3), dtype=tf.float32, name=None), steps: TensorSpec(shape=(), dtype=tf.int32, name=None), step_size: TensorSpec(shape=(), dtype=tf.float32, name=None))." + ] + } + ], + "source": [ + "dream_img = run_deep_dream_simple(img=original_img,\n", + " steps=100, step_size=0.01)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2PbfXEVFNbGp" + }, + "source": [ + "## Taking it up an octave\n", + "\n", + "Pretty good, but there are a few issues with this first attempt:\n", + "\n", + " 1. The output is noisy (this could be addressed with a `tf.image.total_variation` loss).\n", + " 1. The image is low resolution.\n", + " 1. The patterns appear like they're all happening at the same granularity.\n", + " \n", + "One approach that addresses all these problems is applying gradient ascent at different scales. This will allow patterns generated at smaller scales to be incorporated into patterns at higher scales and filled in with additional detail.\n", + "\n", + "To do this you can perform the previous gradient ascent approach, then increase the size of the image (which is referred to as an octave), and repeat this process for multiple octaves.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0eGDSdatLT-8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 211 + }, + "outputId": "2c7a728b-5c26-4094-8f7f-50effc79c2b9" + }, + "outputs": [ + { + "output_type": "error", + "ename": "NameError", + "evalue": "name 'tf' is not defined", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mOCTAVE_SCALE\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1.30\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconstant\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moriginal_img\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mbase_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mfloat_base_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase_shape\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat32\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'tf' is not defined" + ] + } + ], + "source": [ + "import time\n", + "start = time.time()\n", + "\n", + "OCTAVE_SCALE = 1.30\n", + "\n", + "img = tf.constant(np.array(original_img))\n", + "base_shape = tf.shape(img)[:-1]\n", + "float_base_shape = tf.cast(base_shape, tf.float32)\n", + "\n", + "for n in range(-2, 3):\n", + " new_shape = tf.cast(float_base_shape*(OCTAVE_SCALE**n), tf.int32)\n", + "\n", + " img = tf.image.resize(img, new_shape).numpy()\n", + "\n", + " img = run_deep_dream_simple(img=img, steps=50, step_size=0.01)\n", + "\n", + "display.clear_output(wait=True)\n", + "img = tf.image.resize(img, base_shape)\n", + "img = tf.image.convert_image_dtype(img/255.0, dtype=tf.uint8)\n", + "show(img)\n", + "\n", + "end = time.time()\n", + "end-start" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "s9xqyeuwLZFy" + }, + "source": [ + "## Optional: Scaling up with tiles\n", + "\n", + "One thing to consider is that as the image increases in size, so will the time and memory necessary to perform the gradient calculation. The above octave implementation will not work on very large images, or many octaves.\n", + "\n", + "To avoid this issue you can split the image into tiles and compute the gradient for each tile.\n", + "\n", + "Applying random shifts to the image before each tiled computation prevents tile seams from appearing.\n", + "\n", + "Start by implementing the random shift:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "oGgLHk7o80ac" + }, + "outputs": [], + "source": [ + "def random_roll(img, maxroll):\n", + " # Randomly shift the image to avoid tiled boundaries.\n", + " shift = tf.random.uniform(shape=[2], minval=-maxroll, maxval=maxroll, dtype=tf.int32)\n", + " img_rolled = tf.roll(img, shift=shift, axis=[0,1])\n", + " return shift, img_rolled" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "sKsiqWfA9H41" + }, + "outputs": [], + "source": [ + "shift, img_rolled = random_roll(np.array(original_img), 512)\n", + "show(img_rolled)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tGIjA3UhhAt8" + }, + "source": [ + "Here is a tiled equivalent of the `deepdream` function defined earlier:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "x__TZ0uqNbGm", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 211 + }, + "outputId": "dcd95f82-2f67-4421-f9b5-181d5d916ccf" + }, + "outputs": [ + { + "output_type": "error", + "ename": "NameError", + "evalue": "name 'tf' is not defined", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mclass\u001b[0m \u001b[0mTiledGradients\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m @tf.function(\n", + "\u001b[0;31mNameError\u001b[0m: name 'tf' is not defined" + ] + } + ], + "source": [ + "class TiledGradients(tf.Module):\n", + " def __init__(self, model):\n", + " self.model = model\n", + "\n", + " @tf.function(\n", + " input_signature=(\n", + " tf.TensorSpec(shape=[None,None,3], dtype=tf.float32),\n", + " tf.TensorSpec(shape=[2], dtype=tf.int32),\n", + " tf.TensorSpec(shape=[], dtype=tf.int32),)\n", + " )\n", + " def __call__(self, img, img_size, tile_size=512):\n", + " shift, img_rolled = random_roll(img, tile_size)\n", + "\n", + " # Initialize the image gradients to zero.\n", + " gradients = tf.zeros_like(img_rolled)\n", + "\n", + " # Skip the last tile, unless there's only one tile.\n", + " xs = tf.range(0, img_size[1], tile_size)[:-1]\n", + " if not tf.cast(len(xs), bool):\n", + " xs = tf.constant([0])\n", + " ys = tf.range(0, img_size[0], tile_size)[:-1]\n", + " if not tf.cast(len(ys), bool):\n", + " ys = tf.constant([0])\n", + "\n", + " for x in xs:\n", + " for y in ys:\n", + " # Calculate the gradients for this tile.\n", + " with tf.GradientTape() as tape:\n", + " # This needs gradients relative to `img_rolled`.\n", + " # `GradientTape` only watches `tf.Variable`s by default.\n", + " tape.watch(img_rolled)\n", + "\n", + " # Extract a tile out of the image.\n", + " img_tile = img_rolled[y:y+tile_size, x:x+tile_size]\n", + " loss = calc_loss(img_tile, self.model)\n", + "\n", + " # Update the image gradients for this tile.\n", + " gradients = gradients + tape.gradient(loss, img_rolled)\n", + "\n", + " # Undo the random shift applied to the image and its gradients.\n", + " gradients = tf.roll(gradients, shift=-shift, axis=[0,1])\n", + "\n", + " # Normalize the gradients.\n", + " gradients /= tf.math.reduce_std(gradients) + 1e-8\n", + "\n", + " return gradients" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Vcq4GubA2e5J" + }, + "outputs": [], + "source": [ + "get_tiled_gradients = TiledGradients(dream_model)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hYnTTs_qiaND" + }, + "source": [ + "Putting this together gives a scalable, octave-aware deepdream implementation:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "gA-15DM4NbGk" + }, + "outputs": [], + "source": [ + "def run_deep_dream_with_octaves(img, steps_per_octave=100, step_size=0.01,\n", + " octaves=range(-2,3), octave_scale=1.3):\n", + " base_shape = tf.shape(img)\n", + " img = tf.keras.utils.img_to_array(img)\n", + " img = tf.keras.applications.inception_v3.preprocess_input(img)\n", + "\n", + " initial_shape = img.shape[:-1]\n", + " img = tf.image.resize(img, initial_shape)\n", + " for octave in octaves:\n", + " # Scale the image based on the octave\n", + " new_size = tf.cast(tf.convert_to_tensor(base_shape[:-1]), tf.float32)*(octave_scale**octave)\n", + " new_size = tf.cast(new_size, tf.int32)\n", + " img = tf.image.resize(img, new_size)\n", + "\n", + " for step in range(steps_per_octave):\n", + " gradients = get_tiled_gradients(img, new_size)\n", + " img = img + gradients*step_size\n", + " img = tf.clip_by_value(img, -1, 1)\n", + "\n", + " if step % 10 == 0:\n", + " display.clear_output(wait=True)\n", + " show(deprocess(img))\n", + " print (\"Octave {}, Step {}\".format(octave, step))\n", + "\n", + " result = deprocess(img)\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "T7PbRLV74RrU" + }, + "outputs": [], + "source": [ + "img = run_deep_dream_with_octaves(img=original_img, step_size=0.01)\n", + "\n", + "display.clear_output(wait=True)\n", + "img = tf.image.resize(img, base_shape)\n", + "img = tf.image.convert_image_dtype(img/255.0, dtype=tf.uint8)\n", + "show(img)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0Og0-qLwNbGg" + }, + "source": [ + "Much better! Play around with the number of octaves, octave scale, and activated layers to change how your DeepDream-ed image looks.\n", + "\n", + "Readers might also be interested in [TensorFlow Lucid](https://github.com/tensorflow/lucid) which expands on ideas introduced in this tutorial to visualize and interpret neural networks." + ] + } + ], + "metadata": { + "colab": { + "provenance": [], + "include_colab_link": true + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file