Data_preprocessing.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Data_preprocessing.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "TPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Juhi-Purswani/Offline_Signature_Verification/blob/master/Data_preprocessing.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DTymw8FeOKg1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E-ekDCCHOlGU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!ls"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "416AG3E2O3LL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "os.chdir('./drive/My Drive/Signature_Forgery')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eIeg1gjcO6sa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import cv2                 \n",
        "import numpy as np         \n",
        "import os                  \n",
        "from random import shuffle \n",
        "from tqdm import tqdm \n",
        "import numpy as np\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AtdxBEAnO9AQ",
        "colab_type": "code",
        "outputId": "2164cfd6-04ec-4012-fee1-0c078a4b3bb1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 109
        }
      },
      "source": [
        "img = cv2.imread('data/test_set/NFI-00104014.png')\n",
        "\n",
        "dst = cv2.fastNlMeansDenoisingColored(img,None,6,6,7,21)\n",
        "\n",
        "plt.subplot(121),plt.imshow(img)\n",
        "plt.subplot(122),plt.imshow(dst)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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QkxeqaJqhbYpcMHlupHWd9JcGk4AFeT+OMgrna//shI69W6ckxYO/+ArZ2o0ALDj3ejLZ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\nYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tteKRisfPjRn",
        "colab_type": "code",
        "outputId": "98ce6014-fe70-4926-9a79-f8f8f7436807",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "cv2.imwrite('data2/messigray.png',dst)\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8KHOSTcMQXsH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def denosing_image(DIR):\n",
        "  directory = 'data/' + DIR\n",
        "  for name in tqdm(os.listdir(directory)):\n",
        "    path = os.path.join(directory,name)\n",
        "    img  = cv2.imread(path)\n",
        "    dst = cv2.fastNlMeansDenoisingColored(img,None,6,6,7,21)\n",
        "    cv2.imwrite('data/'+DIR + '_denoised/' + name,dst)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NEI64l55Thsq",
        "colab_type": "code",
        "outputId": "3cc21f3f-b8f2-4a1c-8875-883881365464",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "TEST_DIR = 'test_set'\n",
        "denosing_image(TEST_DIR)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 121/121 [07:36<00:00,  3.31s/it]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2EZK0EUFUXKC",
        "colab_type": "code",
        "outputId": "839cce39-fa9f-4a2b-94ea-7e697ec58853",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "TRAIN_DIR = 'train_set'\n",
        "denosing_image(TRAIN_DIR)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 179/179 [11:04<00:00,  3.36s/it]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IElAicbwXfMJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}