2018B5A40590G_Abhishek.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "2018B5A40590G.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "GioJFCDfS8iU",
        "colab_type": "code",
        "outputId": "ed26efac-d6d4-46f9-e434-50ac17ae2b93",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "import numpy as np\n",
        "from skimage import io\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "photo=io.imread(\"https://images-na.ssl-images-amazon.com/images/I/81KA4Aty8xL._SL1000_.jpg\")\n",
        "\n",
        "photo_invert=photo[::-1]\n",
        "\n",
        "grayscale_array=np.zeros(1000*1000).reshape(1000,1000)\n",
        "\n",
        "for row in range(grayscale_array.shape[0]):\n",
        "  for column in range(grayscale_array.shape[1]):\n",
        "    grayscale_array[row, column] = photo[row, column, 0]*0.2989 + photo[row, column, 1]*0.578 + photo[row, column, 2]*0.114\n",
        "\n",
        "plt.imshow(grayscale_array, cmap=\"gray\")\n",
        "\n",
        "gray_adv=np.zeros((1000, 1000), int)\n",
        "pr_adv=np.zeros((5,5), int)\n",
        "\n",
        "for i in range(gray_adv.shape[0]):\n",
        "  for j in range(gray_adv.shape[1]):\n",
        "    gray_adv [i][j]=255\n",
        "\n",
        "for i in range(pr_adv.shape[0]):\n",
        "  for j in range(pr_adv.shape[1]):\n",
        "    pr_adv [i][j]=255\n",
        "\n",
        "plt.imshow(pr_adv, cmap=\"gray\", vmin=0, vmax=255)"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fc3943713c8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}