Discriminator.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Discriminator.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyP1Qxg/5AnnoU0cV53v+o3c",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/shivamsouravjha/Toonification/blob/main/Discriminator.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kaW-6X_vqloV"
      },
      "source": [
        "from tensorflow import keras\n",
        "import cv2\n",
        "from keras.models import Model\n",
        "from keras.callbacks import TensorBoard\n",
        "from keras.models import load_model\n",
        "import math\n",
        "import numpy as np\n",
        "import pathlib\n",
        "import h5py\n",
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf\n",
        "from sklearn.model_selection import train_test_split\n",
        "from tensorflow.python.framework import ops\n",
        "from keras.models import Sequential # to create a cnn model\n",
        "import tensorflow_addons as tfa\n",
        "from keras.layers import Input, Add, Dense, Activation, ZeroPadding2D, BatchNormalization, Flatten, Conv2D, AveragePooling2D, MaxPooling2D, GlobalMaxPooling2D,UpSampling2D,Conv2DTranspose\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.optimizers import RMSprop,Adam,SGD,Adagrad,Adadelta,Adamax,Nadam\n",
        "from keras.applications import xception\n",
        "from keras.layers import LeakyReLU\n"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GN_x_ofA2sB1"
      },
      "source": [
        "import tensorflow as tf\n",
        "from typeguard import typechecked\n",
        "\n",
        "\n",
        "@tf.keras.utils.register_keras_serializable(package=\"Addons\")\n",
        "class SpectralNormalization(tf.keras.layers.Wrapper):\n",
        "    \"\"\"Performs spectral normalization on weights.\n",
        "    This wrapper controls the Lipschitz constant of the layer by\n",
        "    constraining its spectral norm, which can stabilize the training of GANs.\n",
        "    See [Spectral Normalization for Generative Adversarial Networks](https://arxiv.org/abs/1802.05957).\n",
        "    ```python\n",
        "    net = SpectralNormalization(\n",
        "        tf.keras.layers.Conv2D(2, 2, activation=\"relu\"),\n",
        "        input_shape=(32, 32, 3))(x)\n",
        "    net = SpectralNormalization(\n",
        "        tf.keras.layers.Conv2D(16, 5, activation=\"relu\"))(net)\n",
        "    net = SpectralNormalization(\n",
        "        tf.keras.layers.Dense(120, activation=\"relu\"))(net)\n",
        "    net = SpectralNormalization(\n",
        "        tf.keras.layers.Dense(n_classes))(net)\n",
        "    ```\n",
        "    Arguments:\n",
        "      layer: A `tf.keras.layers.Layer` instance that\n",
        "        has either `kernel` or `embeddings` attribute.\n",
        "      power_iterations: `int`, the number of iterations during normalization.\n",
        "    Raises:\n",
        "      AssertionError: If not initialized with a `Layer` instance.\n",
        "      ValueError: If initialized with negative `power_iterations`.\n",
        "      AttributeError: If `layer` does not has `kernel` or `embeddings` attribute.\n",
        "    \"\"\"\n",
        "\n",
        "    @typechecked\n",
        "    def __init__(self, layer: tf.keras.layers, power_iterations: int = 1, **kwargs):\n",
        "        super().__init__(layer, **kwargs)\n",
        "        if power_iterations <= 0:\n",
        "            raise ValueError(\n",
        "                \"`power_iterations` should be greater than zero, got \"\n",
        "                \"`power_iterations={}`\".format(power_iterations)\n",
        "            )\n",
        "        self.power_iterations = power_iterations\n",
        "        self._initialized = False\n",
        "\n",
        "    def build(self, input_shape):\n",
        "        \"\"\"Build `Layer`\"\"\"\n",
        "        super().build(input_shape)\n",
        "        input_shape = tf.TensorShape(input_shape)\n",
        "        self.input_spec = tf.keras.layers.InputSpec(shape=[None] + input_shape[1:])\n",
        "\n",
        "        if hasattr(self.layer, \"kernel\"):\n",
        "            self.w = self.layer.kernel\n",
        "        elif hasattr(self.layer, \"embeddings\"):\n",
        "            self.w = self.layer.embeddings\n",
        "        else:\n",
        "            raise AttributeError(\n",
        "                \"{} object has no attribute 'kernel' nor \"\n",
        "                \"'embeddings'\".format(type(self.layer).__name__)\n",
        "            )\n",
        "\n",
        "        self.w_shape = self.w.shape.as_list()\n",
        "\n",
        "        self.u = self.add_weight(\n",
        "            shape=(1, self.w_shape[-1]),\n",
        "            initializer=tf.initializers.TruncatedNormal(stddev=0.02),\n",
        "            trainable=False,\n",
        "            name=\"sn_u\",\n",
        "            dtype=self.w.dtype,\n",
        "        )\n",
        "\n",
        "    def call(self, inputs, training=None):\n",
        "        \"\"\"Call `Layer`\"\"\"\n",
        "        if training is None:\n",
        "            training = tf.keras.backend.learning_phase()\n",
        "\n",
        "        if training:\n",
        "            self.normalize_weights()\n",
        "\n",
        "        output = self.layer(inputs)\n",
        "        return output\n",
        "\n",
        "    def compute_output_shape(self, input_shape):\n",
        "        return tf.TensorShape(self.layer.compute_output_shape(input_shape).as_list())\n",
        "\n",
        "    @tf.function\n",
        "    def normalize_weights(self):\n",
        "        \"\"\"Generate spectral normalized weights.\n",
        "        This method will update the value of `self.w` with the\n",
        "        spectral normalized value, so that the layer is ready for `call()`.\n",
        "        \"\"\"\n",
        "\n",
        "        w = tf.reshape(self.w, [-1, self.w_shape[-1]])\n",
        "        u = self.u\n",
        "\n",
        "        with tf.name_scope(\"spectral_normalize\"):\n",
        "            for _ in range(self.power_iterations):\n",
        "                v = tf.math.l2_normalize(tf.matmul(u, w, transpose_b=True))\n",
        "                u = tf.math.l2_normalize(tf.matmul(v, w))\n",
        "\n",
        "            sigma = tf.matmul(tf.matmul(v, w), u, transpose_b=True)\n",
        "\n",
        "            self.w.assign(self.w / sigma)\n",
        "            self.u.assign(u)\n",
        "\n",
        "    def get_config(self):\n",
        "        config = {\"power_iterations\": self.power_iterations}\n",
        "        base_config = super().get_config()\n",
        "        return {**base_config, **config}"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e6yoYDKD2sG2"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eAHaHH9AshM_"
      },
      "source": [
        "def boxx(a ,k,n,s):\n",
        "  x1 = SpectralNormalization( Conv2D(n, (k,k),strides=(s,s), padding='same'))(a)\n",
        "  x1 = LeakyReLU()(x1)\n",
        "  return x1\n"
      ],
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pCf0VnRgvNDm"
      },
      "source": [
        "input_img = Input(shape=(64,64,1))\n",
        "x1 = boxx(input_img,32,2,2)\n",
        "x1 = boxx(x1,32,2,1)\n",
        "x1 = boxx(x1,64,2,2)\n",
        "x1 = boxx(x1,64,2,1)\n",
        "x1 = boxx(x1,128,2,2)\n",
        "x1 = boxx(x1,128,2,1)\n",
        "x1 = Conv2D(1,(1,1),strides=(1,1),padding='same')(x1) "
      ],
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sgS_MygvvM8W",
        "outputId": "dd91db07-732e-4b14-d589-d5f0393c9046",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "autoencoder =Model(input_img,x1)\n",
        "\n",
        "from tensorflow.keras.utils import plot_model\n",
        "plot_model(autoencoder, to_file='model.png', show_shapes=True, show_layer_names=True)\n",
        "from IPython.display import Image\n",
        "Image(\"model.png\")\n",
        "\n"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    }
  ]
}