preprocess_images.ipynb

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      "metadata": {
        "id": "a22pG0WfHuvj",
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      },
      "source": [
        "from google.colab import drive \n",
        "import os \n",
        "import zipfile \n",
        "\n",
        "drive.mount('/content/drive')\n",
        "path = \"/content/drive/My Drive/Copy of img_align_celeba.zip\" \n",
        "target_dir = './celebra/' \n",
        "# Unzip file to the target dir\n",
        "with zipfile.ZipFile(path, 'r') as foo:\n",
        "    print('Extraction started')\n",
        "    foo.extractall(target_dir)\n",
        "print('Done')\n",
        "\n",
        "# Extracted file\n",
        "extracted_file_path = '/content/celebra/img_align_celeba'\n",
        "file_paths = []\n",
        "for root, dirs, files in os.walk(extracted_file_path):\n",
        "    for file_ in files:\n",
        "        file_paths.append(f'{extracted_file_path}/{file_}')\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "id": "oeLfkyCYIMgd",
        "colab_type": "code",
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          "height": 34
        },
        "outputId": "782f4ee2-db1c-4baf-8a19-8393566c66c2"
      },
      "source": [
        "!mkdir gray\n",
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "celebra  drive\tgray  sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HFM21fAqI7Fh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "6cc50150-1123-4804-dc08-9f51a1f17b2e"
      },
      "source": [
        "# Make resized path filenames for saving processed data\n",
        "resized_paths = [f'./gray/celeb_160_gray_{path[-10:]}' for path in file_paths]\n",
        "resized_paths.sort()\n",
        "print(resized_paths[:100])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['./gray/celeb_160_gray_000001.jpg', './gray/celeb_160_gray_000002.jpg', './gray/celeb_160_gray_000003.jpg', './gray/celeb_160_gray_000004.jpg', './gray/celeb_160_gray_000005.jpg', './gray/celeb_160_gray_000006.jpg', './gray/celeb_160_gray_000007.jpg', './gray/celeb_160_gray_000008.jpg', './gray/celeb_160_gray_000009.jpg', './gray/celeb_160_gray_000010.jpg', './gray/celeb_160_gray_000011.jpg', './gray/celeb_160_gray_000012.jpg', './gray/celeb_160_gray_000013.jpg', './gray/celeb_160_gray_000014.jpg', './gray/celeb_160_gray_000015.jpg', './gray/celeb_160_gray_000016.jpg', './gray/celeb_160_gray_000017.jpg', './gray/celeb_160_gray_000018.jpg', './gray/celeb_160_gray_000019.jpg', './gray/celeb_160_gray_000020.jpg', './gray/celeb_160_gray_000021.jpg', './gray/celeb_160_gray_000022.jpg', './gray/celeb_160_gray_000023.jpg', './gray/celeb_160_gray_000024.jpg', './gray/celeb_160_gray_000025.jpg', './gray/celeb_160_gray_000026.jpg', './gray/celeb_160_gray_000027.jpg', './gray/celeb_160_gray_000028.jpg', './gray/celeb_160_gray_000029.jpg', './gray/celeb_160_gray_000030.jpg', './gray/celeb_160_gray_000031.jpg', './gray/celeb_160_gray_000032.jpg', './gray/celeb_160_gray_000033.jpg', './gray/celeb_160_gray_000034.jpg', './gray/celeb_160_gray_000035.jpg', './gray/celeb_160_gray_000036.jpg', './gray/celeb_160_gray_000037.jpg', './gray/celeb_160_gray_000038.jpg', './gray/celeb_160_gray_000039.jpg', './gray/celeb_160_gray_000040.jpg', './gray/celeb_160_gray_000041.jpg', './gray/celeb_160_gray_000042.jpg', './gray/celeb_160_gray_000043.jpg', './gray/celeb_160_gray_000044.jpg', './gray/celeb_160_gray_000045.jpg', './gray/celeb_160_gray_000046.jpg', './gray/celeb_160_gray_000047.jpg', './gray/celeb_160_gray_000048.jpg', './gray/celeb_160_gray_000049.jpg', './gray/celeb_160_gray_000050.jpg', './gray/celeb_160_gray_000051.jpg', './gray/celeb_160_gray_000052.jpg', './gray/celeb_160_gray_000053.jpg', './gray/celeb_160_gray_000054.jpg', './gray/celeb_160_gray_000055.jpg', './gray/celeb_160_gray_000056.jpg', './gray/celeb_160_gray_000057.jpg', './gray/celeb_160_gray_000058.jpg', './gray/celeb_160_gray_000059.jpg', './gray/celeb_160_gray_000060.jpg', './gray/celeb_160_gray_000061.jpg', './gray/celeb_160_gray_000062.jpg', './gray/celeb_160_gray_000063.jpg', './gray/celeb_160_gray_000064.jpg', './gray/celeb_160_gray_000065.jpg', './gray/celeb_160_gray_000066.jpg', './gray/celeb_160_gray_000067.jpg', './gray/celeb_160_gray_000068.jpg', './gray/celeb_160_gray_000069.jpg', './gray/celeb_160_gray_000070.jpg', './gray/celeb_160_gray_000071.jpg', './gray/celeb_160_gray_000072.jpg', './gray/celeb_160_gray_000073.jpg', './gray/celeb_160_gray_000074.jpg', './gray/celeb_160_gray_000075.jpg', './gray/celeb_160_gray_000076.jpg', './gray/celeb_160_gray_000077.jpg', './gray/celeb_160_gray_000078.jpg', './gray/celeb_160_gray_000079.jpg', './gray/celeb_160_gray_000080.jpg', './gray/celeb_160_gray_000081.jpg', './gray/celeb_160_gray_000082.jpg', './gray/celeb_160_gray_000083.jpg', './gray/celeb_160_gray_000084.jpg', './gray/celeb_160_gray_000085.jpg', './gray/celeb_160_gray_000086.jpg', './gray/celeb_160_gray_000087.jpg', './gray/celeb_160_gray_000088.jpg', './gray/celeb_160_gray_000089.jpg', './gray/celeb_160_gray_000090.jpg', './gray/celeb_160_gray_000091.jpg', './gray/celeb_160_gray_000092.jpg', './gray/celeb_160_gray_000093.jpg', './gray/celeb_160_gray_000094.jpg', './gray/celeb_160_gray_000095.jpg', './gray/celeb_160_gray_000096.jpg', './gray/celeb_160_gray_000097.jpg', './gray/celeb_160_gray_000098.jpg', './gray/celeb_160_gray_000099.jpg', './gray/celeb_160_gray_000100.jpg']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qAZBBM8LIQjG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Crop and resize and write to the machine\n",
        "from tqdm.notebook import tqdm\n",
        "import cv2\n",
        "import numpy as np \n",
        "\n",
        "file_paths.sort()\n",
        "count=0\n",
        "for path in tqdm(file_paths):\n",
        "    img = cv2.imread(path)\n",
        "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Grayscale\n",
        "    rgb = np.asarray(gray)\n",
        "    rgb = rgb[20:(218-20), 0:178]\n",
        "    resized = cv2.resize(rgb, (160, 160))\n",
        "    cv2.imwrite(resized_paths[count], resized)\n",
        "    count+=1"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pdaUxFBRLr53",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "7f641cb7-ecd7-4ae4-e452-0ac457b56d24"
      },
      "source": [
        "for roots, dirs, files in os.walk(f'./gray'):\n",
        "    resized_paths = []\n",
        "    for file_ in files:\n",
        "        resized_paths.append(f'./gray/{file_}')\n",
        "resized_paths.sort()\n",
        "import matplotlib.pyplot as plt \n",
        "img = cv2.imread(resized_paths[7], 0)\n",
        "print(img.shape)\n",
        "plt.imshow(1- img/255, cmap = 'binary')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(160, 160)\n"
          ],
          "name": "stdout"
        },
        {
          "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"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rgZ4APBOKqDF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 100,
          "referenced_widgets": [
            "9da22a5758e9436ba8ba54d06388a2a9",
            "dd7ffff84dfa44f0b29e1c0e439cf420",
            "9797d0c136504eedb9abb0ad96f2b495",
            "d10c74baa28549b3a3ffd58f993220e1",
            "33bca8a8782d4f9fabe9f8bd129b3727",
            "977e2e5de425417a8cd8408fda8c7e9f",
            "03e1e9cabeed473f8b0469ee94ad3b2f",
            "fdda58fd134c402b84eb1910d4efacbe"
          ]
        },
        "outputId": "7989b10a-2846-482e-d0aa-966fb6eae8b2"
      },
      "source": [
        "from zipfile import ZipFile\n",
        "# zip the preprocessed images into a zip file \n",
        "zip_name = f'./CELEB_160_gray.zip'\n",
        "with ZipFile(zip_name, 'w') as zipper:\n",
        "    print(f'Zipping started')\n",
        "    for path in tqdm(resized_paths):\n",
        "        zipper.write(path)\n",
        "print('Done')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Zipping started\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9da22a5758e9436ba8ba54d06388a2a9",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=202599.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Done\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bj4ULZy7N6_V",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "91a3ec71-8723-40b2-92ff-d1bf96189b8f"
      },
      "source": [
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "CELEB_160_gray.zip  celebra  drive  gray  sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vgGX8Aa1M0Cs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "18fc89c1-aba9-47f1-bb1f-729dbc245152"
      },
      "source": [
        "# Copy/Move the zip file to you drive for training.\n",
        "!cp /content/CELEB_160_gray.zip /content/drive/'My Drive'/\n",
        "print('Moved')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Moved\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}