Traffic_Image_Segmentation.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Traffic Image Segmentation.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mayank-liv/German-traffic-sign-recognition/blob/master/Traffic_Image_Segmentation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DlaUUlW-3orn",
        "colab_type": "code",
        "outputId": "756c4879-1a20-407e-bfe8-dcbf296d5f33",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FS65VRvO4CFB",
        "colab_type": "code",
        "outputId": "0c9b6dc4-c4e8-4a84-d6de-0a9cf99ddb04",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84
        }
      },
      "source": [
        "!unzip '/content/drive/My Drive/lyft-udacity-challenge.zip'\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  /content/drive/My Drive/lyft-udacity-challenge.zip\n",
            "  inflating: dataA.tar.gz            \n",
            "  inflating: dataE.tar.gz            \n",
            "  inflating: dataC.tar.gz            error:  zipfile read error\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V4N_euFg4bjr",
        "colab_type": "code",
        "outputId": "81174f8d-b752-4e91-ea8c-a35107a6644b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!tar -xvf /content/dataA.tar.gz"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "dataA/\n",
            "dataA/CameraRGB/\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EPH4o9nrAW63",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from numpy.random import seed\n",
        "seed(123)\n",
        "from tensorflow import set_random_seed\n",
        "set_random_seed(123)\n",
        "\n",
        "\n",
        "import numpy as np # linear algebra\n",
        "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
        "\n",
        "import imageio\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "# Input data files are available in the \"../input/\" directory.\n",
        "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
        "\n",
        "import os\n",
        "\n",
        "from tqdm import tqdm\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pZTluQjlBYTg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "image_path = '../content/dataA/CameraRGB/'\n",
        "mask_path = '../content/dataA/CameraSeg/'\n",
        "image_list = os.listdir(image_path)\n",
        "mask_list = os.listdir(mask_path)\n",
        "image_list = [image_path+i for i in image_list]\n",
        "mask_list = [mask_path+i for i in mask_list]\n",
        "\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_HwbfEhHCM6G",
        "colab_type": "code",
        "outputId": "d3454cd5-b1f9-48cb-89f6-a9985c79a2ec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        }
      },
      "source": [
        "N = 1\n",
        "img = imageio.imread(image_list[N])\n",
        "mask = imageio.imread(mask_list[N])\n",
        "mask = np.array([max(mask[i, j]) for i in range(mask.shape[0]) for j in range(mask.shape[1])]).reshape(img.shape[0], img.shape[1])\n",
        "\n",
        "fig, arr = plt.subplots(1, 2, figsize=(14, 10))\n",
        "arr[0].imshow(img)\n",
        "arr[0].set_title('Image')\n",
        "arr[1].imshow(mask, cmap='Paired')\n",
        "arr[1].set_title('Segmentation')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Segmentation')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mOaSKUBbENd633s2lrJY4uKlhfP6znxLX1pEc3UMnEiNi30UqSXbp5xbjku6kvZt1tPd0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\nCBtUXpCnKZ4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zAVLbFSdnX+bkYx/ixJHjxKvn+OYrrzFMhrxw5gwVV1KQkedQFBm2rb8y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\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9k0xYknB2fsb52RllIeV+6/MzslnBrJyTpnDr2pwkzaTEzDm0brFGSkvruqZr1tz62Iss\nT25y7cYpi/mco+XS33VSyhii49Zsw/cYZf19SkKSSOmath26M+RFxrYRa2w84Uq946D1+qyQrcIT\nEbT0WsI3U+3arbeKFtfBxBtcRJKuQnmoiuQ6zdIg2PLf0173E7JUIauWpEG7J8Q/yaTMDp/JTVTi\nLe6FCOZZjraSSZzPF/J5phlZljMr/yjf+MM/ADTn52dQzMhWKVq3nFx/ikVRkiINfOtOc/P4Fnfu\n3Ob5F16kazvW6xXXTm7QbhtQGXmekRc5TV0DiqZtODm+5smgwVjLtm04ffpjGN2icGybWjKJiZSJ\nZrn8NnStFgfALMU5xfLGDdp2S70R6+ssST7seZ/39e/UM7ee3Vs+EZ+PBj4qJOX9wvt1/SZS9c4w\nZYIekfw45277x7tKqX8K/Ang9VAmoJR6Frjrh98GXhis/rx/b3ebfw/4ewAfe+4F1zQ1RneURcqf\n+NzXgBbMGtMV6O0lZ2/e4/Yrf8iqvuAb3X9Kuiw4vnaTNE1YHh1TlGXs2xIaScYSMEx0d8rLElzf\niT40epRYJ8w0y8xuoiQodL75aJJKKZjxRgbWW1FHe9+gq/AOYSGAcliytKRtJWDcXK5BiS7AOkvm\nBdjOuJHVbEJvZRwMCLTPiHjfN2kK6nwTS6/9Md6EQUqrpPQKIPGi8KIovKWzlawKRE2J8RbSIWO1\namouL9fce/Mut7/7B1SLG6g8I08zb1CQxKBQe23DxWXH2fmaIk+omy2LRcWNm6dy/LrzwuqObruR\nvkAG7l3I7WMuNCmQptIwlrQPjtM0BwxtZ4BUMgoGDJZ2tWbTbMB6EoKJPXMAyiKPZCSW6qUplybu\npg/Cgf6pBRK/fNcGOEFj0a2QzCG2beffExIDlrYJx1PHcSEDZ5pAoraRmEHq1w3HNN7/7hhZnrL1\nJ5rNKjSG9eUGMJxfnJEBvaZdc3Z2j6KYI/mejG9/73c4Ojoim5UcLRYcL0/EIRHRun3vey+RZTlg\naZqW2azg6etzimKGMZr5fOFLADOs1Ww3F3Sd4ennPkk1X7A8PqEoKxZHR3FiIssl42q0ptAFSSZ6\nKeu/c845lDeACPd5mIAwWntL+YQkEWOGLM+oa7nGkfx3XdSq2TAhEr+/xKyZdRbb2pjpDd+L4Lwo\n+h9x97NIT6BqPifLC2azGWVR8oXP/1G+9lX5w9K2DU0jP7OX9Rq9vuTG00+T5xlFPuOtu69BmqLt\nyzz3/PPMF0cY00nVXQLGWjYXF5R5Tl6Iocr9+/cxVrR2y6MFZrFgdXFOmsBieey1VS2L2RxQXFyc\ns1gsKWcz0cJlBSjFdrNh2zZU1QJnjWTb+PDi/f479YXP/gejyzMRn8cPE0n5aGEiVe8cH3UC9FDy\no5RaAIlzbuWf/wzwXwM/B/w14G/7x//Dr/JzwH+hlPqfEQHp+UPrqB2kWH7i87/MYg7KJriuQHcJ\ndC2vvvIqr77xTX779b9MrS03T69TVhVlWVGWJWVZehc2rydAgplOd+RZIbqGBDIVbG4tKk1HQv35\nYg4gomCgayUzpBJpJAoO53v8BO1AzI64XmAOxN4haRjrndLCeOvH24HlbtCM5Enhy4kEgVhs6yb2\n4VCKWNKnjcFpw+VmxXq94uzem1ijObt3T47FdWRJJhbHTmFMR5IldJ3l/nqLaRtmiyOuXb/hj915\n0mCxWlMkLdpC10hm6HJ7nzzPqcoZbafFJQqLtYl3rUpoOi2BvLVUPmB78+5rfobdxkfTdbTG9xna\ndnIzZrYPzrMEBsbAWm/JMgnesywYFcryLIVtK4+Qoo1Ba4tU1CVctlt/syfAdudxF3bnfennso/+\nTR3Y0oCvyHtmND5LiduSYzb+eRqf9+sOTZGD7XWwXscbJvSvtW4BTas1tJoWuZAF0PrHHhltq4GC\nFk3dtlQIEW7bhrZt0M0lZ+f3yDLJWGVZStNshECBt9I23H5jxazs0MZQFoG85WA6Obo04d43v+Ov\nTwLG+vOTSYHFcsGsnJEkijfu3JFrCBxXBfN55TMYCqu3yKRC6o+pZX50nbwsuHnzacqyZHlyIplb\n36so2JoP9VBD2+tQ0hZIVnA/DE6M4butYFACF4wYUnFSNIYs1bFZclqW/NhP/gz/76/8M2g3rFtN\nUWRks4qzI/m29QAAIABJREFUszNuPf8iZ+dvUc0WnJ2f8YlPfgZrDS99/yVyLM8+9wJ5muGs462z\nuxwvr4khgtHks4Xosfz12zYbEp8ROlufc/v73+LFT/8QR0dHXlNmWbLEOse9t95ksTiizHMxYclS\ncmaiSbKWYlbBh7TPzw/k75THRHrePSaSMuFxxkeFVH2UCZCKtfxXDVDqU8A/9S8z4B865/6WUuom\n8L8CHwe+B/wV59w9JbVb/x3w54EN8J85537rQfv43KdO3P/433wJp49QDmyjwcDdu3fp2ppfv/PT\nnNdbrDXMl8csjk7Ic3GFK2fSv0cC7yzOzAY9tvV6k9AnKGRkVJL6khhFopR3rpISkWAkICJ80e4k\naWjk2DeXzLOUoqx8g1GZqe66NuqH+l4jIrAuypKubWNmJkuzOMPsbN9s0jlL09Q0Tc364pzttmF1\ncV/Obduy1oq62WI7TZIn2E6Tp7DprGQ9AvnYgTGGWSqlcSEoTX2gXybQkdJ0QtryBDoLMx+AX9Rd\nDLyXpSFJCzpjgJw87eiMBOKpMT6EhpQ05CQwgNYppafbkknplzWxRCzcaemIme8a8EoALkVtGgMa\nslmB1kZ6B0W2Ei7EkISkO6/793tyxWAbw3X6MWG7/f5ST7b8MV/pGnzoGMfHo3fZlt8+eAt1v59W\nN5HZCJkB2vAJCN2paal2jkDeC8uB2q9TFfK8KgbrFBQFQMb5ucSHqxUsl3By8iwUUJBFghX6C0WW\ntIfMH39G/19gdE2IK2dkaN2ED4UsmwWWSwY0zSXZbAHaMPPZrizL4+6vzxOyvKCslpycHDObLzjx\nWePF4liyPc6RevISzDmkH1USzQ9k8iKJxCi4yGlr6LZSsquNo902tG3H/ftv8Wu//M/i53B07ZT1\n2RnPv/hptOnQuuP02edIEui2W/KyZFNfkicZH3/hOe9kl2K6ridcvqdWkRVS2urEzGNRLWiaS7Zt\nx/n9M6pqxunTz4ieMksp8hnatNGWv5zN0d4efTE/8mWvln/4D/4ur712+0NX/faD+Dv1Ix9T7rf+\n+tXLP8qkZyIzEya89/hBkaUPGwH6337nb3F39dK7+jv1UPLzg8DnP3Xs/u5/9edpL9YY/SabS7h/\ndoev3v0POd+2zJfHKJWSpwnzoyXzxRGJgjQrpKzMWbGsdg7dbSnKSvQDuvPkIvW9ZMRRLZQaBfcr\nnPSVKWYzms1G1lFea+MdyIILl9Ym9pARTZAvdfP2u1ma++xMgtZdzEpJz6I1L3/vW6w3mqaWsi5r\nOwpaWi0mCFuTYKyWeX4DbadjTyLSJJawYeN/ou7EGNGIhCxElkojVsliiNW17z4yDtg5EKNqE4PX\nSDK08fFnGB1TNGjd0LaagmyUYhAzgyy8iIGuliqruF2/GNBoypgeCfvLsj5U1r5Ei8G2AukYEY6Y\nokgjKerXGbzWck0km7HDGrWRQNuPEaSDwL4nJf1+0/31w/Ph8kED3UgY0KzbhqKY0a4bn7YZ5m1a\n7ywmqKr+Yte0w4o6oGYFnFYVdS1j+3UHA6uKClkmY86Byo/Zp039apUf4Y+hKAbEq437jBgtH74H\nRZH15G0wtCgyyWC1cajcY3FgeBjeZ0KYhoifrTZkM1lJaxPvg2xwj0hZn19PW1782E2++KUfFTt8\nnyESF0LRFAZ9nbE2usltt1vquub8/Jy6vuR3fu1f0RZz6vMzXvjk5wHLxb37HJ/e5Jlbp5SzOdtm\n6400WkynMabjM5/+I5S5GBU4K057eTGja1u06TDaUlYl3bYhz0u6TiaBLjdrsixH6y0vvvgpQJzr\nEpVIg2WV0G434iIHYCVb90/+0d/njbuvfejIzw8CV5GfJ5H0TGRmwoQPH94tWfqwkKD3gvy8G6vr\n9w7WQf0WzlrWl4Y793+P3375L2MKx2x+RJZmnFy7icIxP1oym1VYo4Ws1DVdp2nblizLcU4ITSLp\nHcChtfH9Ovpmjc6J3bEEMylJqqLlq9g0C6lJbNI7voWeKEo6s4vWR5FluYiqvWGDGB8YZjNxlVut\n13zr93+TWqfS60e32GaNJgHTcrHt9SYhhO71HYZta3sSkqWjrENADOb9uIMYzKprtpFCNAxiea1p\nB6NCyVR4UwLUlj64BRgH1ZUPtkPwfHLrWgxwRyRLg84GzzW0aAqaGPhutCdUWhOSQ9mArWUZ3Mg0\n93SG1jDLglsZxNu7CbuQ163WFFkmjSmzTMrEEFvoTdP03M0vK3Q8/b6EbHAiMSAP57KbxtJ92dm6\nHS7zJ7JLbuRCy9VsA6EZkIbKU5OaEREaM5+KlU/PePnLgNQIViuAFUsqyfhUbRyzWtWwBFZ3WXrT\nA1lnJU+W/e5qatlsW4XD85qbSo4v7PL8nD3U+HFjMlaf+/XDmCpcgoKWHQLVhquzX9wXGdP+Jyiv\njjIC5yrw92eWBbZERsrtu/d5/f/5RY6Pcn7kyz9FNStICrFz75yWEj/nUEkqjnIWqlklpgtIX6Af\n/sk/x+V6w7/99V+maRpiuWLT8Nqd27zw4qcAR7dp2NRrsjSlmC35/u3bvPjxj6NMR5oltNsWbSxZ\nmpLlOVkOersllHqmiYIECt9vKs8z7rx6myxLuXX6NBbLrdNTzu7fI02PmC+WnJ/fpyhy6rrhcZgM\n+zDhSSM+E+mZMOHDi/D9fackKDjCfVhI0LvBY0F+nHNcXHScXZzxmy//GK+df44sS1gUFbNyRl5k\n4uJWViSJWGEnCtabNalKyYoSo21smmmMQaUZykmZW5o6iqJi29TSYDRkfLDkRUW33aJUJnqYJIlE\nJE0SMYyyvjFpsONOM/AESyUJ2nSiU/I6IK1bcHB+seEPv/YbtC5Htx0Zl1gLrbVsOsBomq4Dn7EB\naGI2YLc0yiNkb/Q406D1FnTIioSxOgbmouPwxKUooF1DcSTjBmVSNes45w/EjADUvtSpYkVNCIfv\n3oVx0L3q/7tasVzC+RtCiM7P4eTkCMg4b88G297B4ACqCs49yapr2U4fwMq4Cx9ct8Dal2i1O6Vf\neygKf9r9/uUs23jew/d3x1QUo0zGuX8vlJjFKzJMnoy5yU6W5tyfbwV15ARQjwbF7dxdrVgul7H8\nbIiVHyTLV6xYDQhMHQlMWH9FHfcjn9vduC4MCM/OTlbLFaxkO9Sw4i5LltTAipUfRD/Gb2u4bXl/\neEywuruKO1nix678wlHGClbnMmZ0XRlct1oudFWd+HvtnKo6IdKltf90i4K23UBRULQ+e6kzsmxG\n0zTMZjPunRt+4Rf+OTeOZ/zxL3+Fo8VMbO5NR+IJEDiSwjc/TsVwRKmEJEso0oIf/ZM/xje/8y1A\nMlpznz1cr1bUlyvSouTGzWe4+/rLXHvqlNXFintvvIGxW5555llUIgYRXb0lzXMpy0sSsDJpA4B1\nJInv6WQ6LHDvrXO07pjPl/JbVBQ4ozm79xqWlHVTUxTlk9Dk9AeCifRMmDDhccV7QYKedAL0WJS9\nffyZI/ef/6WEb9z7j1h3HUcnpyTKUpQVZVGQpJlvsgl5mmFRZFlKu91KHb4PNPIsIy9mZN7Ny6Ho\n2sYbD6RxVlMaLAajAbGp1bqN5S7W99YIvYGCNW/oNK8GlrBJIk1DxeZZBNTWWr7+27+GIUc3WxLb\ncNlZsJZtJ2YIbbtFY9CN8ZqVceFZKC1rkYxEO1g+nLsOJUEhcJPKp/WQvcQYeljSFAhMCJ5XIBmA\nSHJk9d3gehi8DoPYq7EcrL8X8Q8wXnYoqH90DNnGLvPoX8cMVdy1f7HzekXNsqpY1bW/RvTbrKrR\nrvoxu0yH0XtyvccI1zQ8j/DvLXfG7I0bYrkMqZ3wBqMPHEbL9z7L5ZJIXt4h9g5htJDxtv3r/l4M\nh7oUIrWznV0CtfIDAhE6dJ/uXrflVTdYVflPrBAnvELmiIosI8tKsqyADE5P5vzEn/5ZISBKRaMV\n+X2RXljbpsF0htZoLi/O2DQNr732Bt/95tcku3k0Yz5bcHL9Kc7feB1mhRCu9QWnTz/ndXmigVxd\nXvDZz32B2azEOQPWN9bVVnpE5Zl3sMtpu4YszdFdh02gyAvauqbVmpOTE4o8J8ky5tWC1fqCRKUk\nCv7Zz/0vvPnGVPZ2CKHs7UkiPhPpmTDhycc7JUGPKwF6YjQ/i8XSfeYzX6Bptmw268GsPUBLEWfp\ndzDSQ/Qz/UVRUBTjpFYsdPGVRkFjkQE3rh3JpG2Rkqc5eV6KYDpRKKspZyXXnn6R2WxOUVYcn1wb\nNXt0wNlbb3Dn9nfZ1C1Wa7CardF0naXrDMZ0bLcNTWPQek3b+vKyvRNrR2F6mMAOeo3hYyg9k+Xy\nWNdCXkKsC+zM9IeypQdFpu8jrtrvTiAaAv0Hb2r/fA4FvIeyDYe2vRsM7xG8cOzLPtfQZ7iuvrZx\n2UOu+e5xPXC9XfLwbvFeb+/9wsOOc7g8PB+8F8hVXPyAsUPSWZ2c+KTpXH5bPBGaeZONF565zguf\n+DxPPfU0KKJ9tnWOi4sz6s0l9+/d4/zsHm3X8cbrt+k2K84uDT0p7inx7r26PF2yunuYsK1ChozV\nmDQO78vd60JPFPttnNJsz2i324n8HMBnblbu7/zsJz7ow3goHhboTIRnwoSPLp6E34e/8fMv8e23\n6g8/+QmN5+Ks96DcRWZ1h8HwcjdO3kNfGiUYOlsBnkx5TcUBAXhYvzia0643FEdzaHWcAW7XGyFY\n8xmzLGM2m/PC0zexZFLStmnoOkNrOvS2Q2No1ues1xsooA7aB6nlivsdT8qPg+whhlmDGAfuBvqD\nDT4KkfiB40FB7BVZgQdu7lCQ917g0PZ2A+T3+Nq+b+fyYcaj3i+Pcs3eJoGK2SRWnFbPe3e7AsiY\nz48gSzlaLICE9fmbbHQjVuM+Czv87ZHMa6+3ejvYzWCthj8YYaP+ePvfgbefvXPOTeTnAD4s5GfC\nhAkTnmS8F+TnsdD8JAlY28+0x5B/WO7DcGZ+VMs1ElhXlZAbgYijK58NGok3fLJoxD/8C9lSy/la\n9BvyeMCpCiQbVMw4r1txaTJCepptg2620QWtbdey3ZE+ve5JiscqahvkxSqSF+jrguRxlHUYbHZE\ndPw2Rvigsj5DPGj3u8se4VDjOb/Xp7WbDdjdx/twHd+3c/kw4+3cL/BggvOoxMePXdET0Zpz0WT5\nVGvre/hovY2rFNmM9foeFAVVO9Sctb7UsvZf8atncfaziGMN1nK5vDq7udwhSksiCRr9VjxCNnLC\nhAkTJkx40vBYkB8bjM32lNsrVn4mc0nIyPQoTk5i6VhcVhQDL6eWgnGmR4b7Urogbq+gxtf5C3sS\nouOJEIhuOuy9KI64ceMm4J3FNg2bTSMaHm1Ay+vzdt3LTjzDimLwBwZzO+QlXJtVv2w1Ikz77125\nvUOvJzwY0+V6fPEgYvp2Mjy7rw9tdzkoR0Oer5ai8apab4AB/jdnDuiRM11wtOt/x0IJa3hZ+Ere\ndvRb1+eGT8WcYrXaI0Aw1jHJ81NWq7ucnp4y1J0NM8HxNKcs44QJEyZM+IjgsSA/sK+3qKpqFAD0\n2ZwxjopiRHgCGQrjA+kJBKhlTIbC8xGtagMp6oOUMHY+F7eypjG9s5rvz9IiJXHQl9OtxJprRxPy\nyJelx3tBWKYAZ8KThneS3XmUbR1af0CMRhMNdU3IF8vzwUwJwTmwjX2Rxrbeg+23eybeMsT/DtV1\nzWlV9QI/2TWnp9XACRGfWVoiQ0/73fj/1HXN6empHEdV9T9HS6QH0IQJEyZMmPAE47EgP3mecxKz\nOCHx0lIcHQ2ITBYbWQboHQc0sgyZb+0NDfZIEPuECG9RHBy+ggtYn0wSfU/GzBOeQHqagXHBehzU\ncDg7Iy/e2XV615iIz4QJPd7p92Gn7HEVjPTCJAd3oV6yDM1jh5rDeqz3q9jJZg8meYbZajFx8b9X\nPjMtY3cnavzz0ZjB9ooi7rHvx1XFQ5rIz4QJEyZMeNLxWJAf8H/cQcpEiqDR6f94B+KjdyyhpSFh\nn4HZ+NhAa70XKLRtG98bkiDxhw6aITE7qCoZd1TMY9NDnTXSO6eV9qBtuxmQJsFjZywwYcKE9xe7\nVazBhyBkhKoq9n8K2Z9hGSwDveL5ectOdS8wJkIhM90e0CCG/HcBvnfRoN/VgAiF38OTk3EWPPX2\n/hMmTJgwYcKTiseC/CRJ0mdq5vOezAz+WAfSE8YNFvQaHv93Pv7B98SnHQULRSwvCaUiw9nPkPEp\nCilvawE2fn/ewSm006xrX9YGY6u2CROeFEyC+EdHKIfb7YvFkBz5HlC+mW3vtlLH36Fh1nmIq94f\nY58QxYxR5EF9GW8oAw6TTFOT0wkTJkyY8KTjsSA/1lo2G9HKBLozKk2TN+L4qO8JpMYvb0frA+3a\nvxrbXsuTvgFmiEOooTo56glTAazb8bp+4KhJYnTnmoLECR9yDMjO1W5iEyE6iFX/uGJc8tprGmux\n8q/7VUb9hhAnuLs1LENp3E4Z7rC319BEYfh81+BlhJG2qPDzQYeySBMmTJgwYcKTh+SDPgCQZoAB\nbduyHvxxlhnLNpoVrNfr/nUgKX3KB3nZMmx6Ci3nrW8IWsPu5GmgQVVVeMLUUtNSn6/lsW65W5+L\nNfXq7thd7aMUBO4ltnYak3r3qUdff3f5AUvuQ+8Pt/ewMT9oPCaH8cg44LAon6G3mV+OH4e9px76\neT/K/j4iWHmHNvnNGJCjSDTxl7x3YQsTNIHU1HV9BQmqRo/D8cPHw+iz4m3bYqP15oQJEyZMmPBk\n4rEgP6HUYmhKMKxrD2Vth6yQhkLgoQC4RyA9fQDQ9/UhEqK6Foc2CTDqXsdTx/98dPU8g46q0jfE\n//PihmEAHPox7QXNYeHB7fvxByy5h+/vBtqDjlBx+WjMkoPrHT6E5YhIHVpnNOYqrAZjH3f4a7v7\neQ1bTUlAHSXyI+LDzvOrrtlo+TAL8mG4Ru8VljuPO85xcSIlWlWH9+/6oXVcpc/w4PVE4X38+2P3\nt2o0ZkiECmD42zlhwoQJEyY8+VDDrMsHhTzP3Y0bNx5hZKhVH5ZpjJsIEt2VhpqevsStz/Mw6L8z\n8qVlJWIePlL2aANhQmyEeKj8iQPJjVGn2MPYK5sabH//WEJj18H+B/tdHTiuq/ZHOK0rSrmGmYwr\nt3XgnFdXELLhvsK5fFiyg4fs5q/Wnzzk82YVqenBe4YHTCYMr9mH6Po9EG/nPEYioWAlF+7ZMWeM\nmsXhz1tc2D8MfwP7zFFvtBBw7949uq6bhD8H8Jmblfs7P/uJD/owJkyYMOEjjb/x8y/x7bfqd/V3\n6rHQ/PTYzdyE18XgZRu8jHbQ+kBN1t8v+di1oa5jjLEcaHhWd5+AQOtBCJ3lQyf40Dl+tRP87hCB\n5XIpPUFGPUoGRr0DzcEhMnQwO/AIRGPUkX5nW+F5JLiD/S6X0hAyVhMd2O9eJun09CCJOxS47x5X\nJE4+bbIcD34ss4ZXZafGtskw/l72PWt2UQ+Y0ulgQqHaHfOQ/a8Gy+W6PQENqh7y+Y+40eiUPYmM\n2bJ+c8vl4HrWVa9dpNcxenuF+GzXEvvBFHbChAkTJkx48vAYkZ/Cx1XRsoAxEWr9MnFr62PdcZnb\nMAAbabOHcdaqBlZ++U4m4EnGIKAiPHjdzG4YejAwreuDQa9fdEVX+gAJvuLul+EjqUajx8TnlNCR\nfh9V+P/gIMYvlldkpJY7+7waYdzh8YdI2pXypMH9tdfw9gd12wXSt/v+znUaCucFQzfF3jY+uCn2\nm3moFVkcF/ZxKCsUyGoooQzvrp7gbOzBnx5/b6yCl3Z4vVNmGobulfMOHsOC8Do2XmXsIjcpfiZM\nmDBhwpOOx0LzA95JLRoVhGxP+DfycQO8OcGBDNAKWN0Ns//EgClkAMYa+UEQcUXJ0/uCA7qU93r7\nhzIsSwbv+wsRY65R4DoWUO8+HsJwUe3fqHw3elnPfyZVJZKh0ejd7QadyQMIil8cNVqHBoze74/n\n0Dn27wxRX7UA2A3Dez1MVY33NcxkDDNgMVP0PmPoSrh3jHCAIFY7n3VfbgqDktOWPa3IvnZk6LS4\nfw+Nbv+d67X7/EklPhHDH6kV+6cbM0MDO+1oulLHf8G8paKQ38lxsjYSn+HHHp4mTBVvEyZMmDDh\nycZjQX4s4Q/ymPBIVseXscXXxcCcwAdhMZ6qRwHDcCZ+Nfw3dGsb4B1nfmJt1dtZZ0cBfZUIfJxe\nGJW/7JVt+YB6ORgfXu+WigWzgPAvNGAMRKXXe4zJwsPRd5Cv63ows+wJzaiZ7BWbrg68N1oeyu12\nBSlj8cN++dZwXN9kMhxbHwyOS4Ou0jONr34/7T4eXnG6E/C/o7vsEHHiQIbuwD2xu87o6KpdogPD\naHloIrJvh9zujOOB4vmTwft7hLrq743RN2Mkn7riXJ8U44TV+HE5/PHaG7vqNWt+EqM3RBj/PspE\nkTwOPlkZ619VyDJrP3gN6IQJEyZMmPB+4vEoe7O7YWvr41r/B7pu48IR4QmlM3f7Oqp+ktsTHLhS\nbLzrOvWgEGrY3yQK6XeyRStW430Nxg8F4BFBY7Jb4rPc768yPKeo2xmuc0hns/PergvUEGJqd4CY\nxHUfcHFG8AHXaKW+dGxXcxB3OzyHB4jpV8Cyrvsgru63HXccZBAHSrlG2/Hr7++tL8mirsdmCwee\n75du1T3hq4Zic5/9Gpzrlb1zBq8Paa+o65FG6WFaqoChHfKw/OzQGNgnPGNnRUbjwrLxOlIed5AO\nDfc/0OYNj2sY/wcSv29mceXpPvY4bLDxNrLQq0FHofg7cdevXw0IUL9K/D2tPLGtBu89FtNhEyZM\nmDBhwvuHx4L8JImCuh2IdcWxbUiCxtqeOiZ54izxcJL0kLZiF4PY4tQLf6Mr0kDIH0jBIXveQ5mX\n3TGRWFWnUTMzIiA+w3JajQP03W2N9Q8HsLPtAeUJZxGzHMP914N1QzBa12NXqAO72l+2o/8YyA/2\nskgHA++hLe/u+3W/xZF0K74e1u88zHUurMkBktBfq6scyg6RncMZoF3CdUh+Pv5cw/Nge3xVpmb3\n+j3wvhhHvQOSe8XYenCvDBa1A+v5qPnxGJEeT3RGBMi/v5s3CgR514ms/x0Y3AtXfiBhSuHDp9m7\n6nM79LsSf9fCDXgIAyIkBHGgd6wrYqbO33zBzKKm7YnQJPqZMGHChAlPOB4L8hNRDUoxqgLq4NzW\nMgweo45nQG4OBT6rGCzsZF9GWgcfdPl1Tk5ORoHbMEAbZiqqwYz+vnRiP7iP26EnAYUPCE+8dffI\nMKDug/390qve2anaGb97rEPpSyB3DxamV3vEZryfnQA1aLJ2MgR7lWzDKredAP5QQD+4EPsbiuVR\nh4P4K62V/X8PW2PDcjkgn4Pt7GZ6dgoWdw7vcDbFn0wYNfp84z4HJWq7d/N+xqzY/5z2jAp6Mh+v\n40AVH7RZq51jOaTCGmK//E1QDAnODhk+RJZ2z62uB8R4p3xwPJ8wzvqETMnQEv19JUJXZJLfLQ7d\nO/v28I94fIRrMLRyr2WRfPA7WfTDn+mECRMmTJjwpOGxKHKIdeZ1O/4XUY8ex6Vty/2MyzA7M1ge\nwoAgKRG9w/hYDgZ2RXFQPyLrh9K8/WxI0FM8UFQ/bOLq97W77nAmPBzzUE8TUPuSsRBEjejSKBvE\ncKVR0LUfUI8qyfpzj+cyNKN4APZ0IMMAnXEJ1FUYkcD9MraHYtCraKj/usqlbXeSfTykOrjPh56D\njHrwYQ73coioHmjmW3OA9PQvDl8ff79EQhfugX5HDzzOgL0sz1VrDnRBhyDSq3Cf1mHGYHdUfG+J\nN88Yfd/HxOf9aKh6SEP3SOs9UH+1e/+Pzzvs8yrt1gixYSpEyr+q46I+9cP4yz1hwoQJEyZ8BPB4\nZX5G2Alud+2o4+zroOZ90ChjGCBclenodQvjPiZh0roo/LuhbGe35McPLIpg091SnRSDuLSIDt4B\nYbv9MRzFfUfReDyGXj9THwhsPWcYnWfNuKxsGM6OdTjjaxOyCf4o97a/X+U2nL1/0Kzx4cxQ0MXE\nLNaVGZ7hKv3rK7M7D2rGOtB2Rd3IcJZ8WCcUYubdbcTjusqC+51jN7MEV2TqDpGH2lc2Mbg/giZu\np0FmKIk6hAcRYXbuy91lfWlcf48P75MRZTtUHsfgPhtlLseTFKEKstohR7VfcKWL4wGt3kG9FWH4\nePxuNmlPi/cA9FbofgKm2j/uQxnQfUOIfn+7zYj3sGI0PpQIBiK0fGiOb8KECRMmTHjy8HiQn4Sd\nGchBkDskO0McMBU4hEAI9uO4fUveQHZGmZgdcXfPe4bBXiBABXti73bMfvaNsPYDyUNmWcPjj0GS\nf71XOnZg7KMFOcN+LmGN/SzDMNC9KogdblOG7V6bsQZo8GbMSESL6ANb3X1vpAXaM6I4ULrmyUDg\nOY+cITiU2TlE1Ab7uoqo7eJRydRulnH4+tAk/q5JwFXXJmBXm9WjPci7wrLdcbuTC7sZoiElOnR/\nDI9hqMU7ROL7Yx3eU9XhjN6B35JdwjR83FtvV4e2s72rbPOXoxLZ/truk7ie+PSJzjEZ2qU7fXlc\nOIi9AQNN0HKQPa9ZLuMvyd4xT5gwYcKECU8aHouyNyz9rOaI+NDPzq92gpH+r7dfb4xhn5UQxBdF\n/++oGPQJKsZZnijghr1SHeE4xSi46zM2xG2G/UA71kGE8VfYAQfEPJQ/zl13rYOzw+wTiaDreBQc\nDECL0YCdo/Ovro6IB2P23xNzhR09i388lAXZneC+ar59TzCOD0jpyUjIfgxL296WimOXfRw6jp3H\ngLB/2A+wDyFoYcK/3UzZwcwZ/fUaOh/u7i6e/4F76FGblgYMvw+9CQIEcnMYOxMIOxhmJodHMyZW\n+2Wduxqpq85lWEYmJZBjkrhXZhYIWDX8jelJl1/x4DkMycVVxzPK9OysMxyz9Pvu9Tyr+Ds5aCzV\nP8bDT5ynAAATwklEQVQPfjn66ZRFNQ9Xek2YMGHChAlPBpRzH3xfB5WmjsUCcYoOM5t18CqAHQvp\n4Ux2MDGIwc+BMqEiEp3DAdaQ9FyFYXC2G+zL63G53D4OZVDiAXrtz/66sexuMG53Rv4q84CwDB4c\nyA7ti3fP86pzDue0d7wPcAM7hEfTyOzjUbMpB9c9UBr3oGzR29nvUJt+aF+HsgJXlertC+D79OhV\nn//uNvePb98+e4hhpvBtcp89POhzv3LsjlHCoXHQf+ceXHLZY/c+2/0+7NqR72fzqvD/kTPkofK1\n4T4OUYpD+sBHxe5v3IM+8wcT676uc0klBGgJXF7ijJk6nR7AZ25W7u/87Cc+6MOYMGHChI80/sbP\nv8S336rf1d+pxyLzIwdRjYiPPBJqkjz/6TUa4Y/8aXXazw4jbm19hudoMBtNLEvb613Cfmf6K4u4\nYgao2PlHvx9GL0aNIodZn2FpXRi+t99RqZA8PCjw3Q3Irpr13s1a7e7yEPG56px3t7s7ix9e7+7r\nSuKzc7yHMjO7ZgSjsVesL88HM/vD7e04rF1FcB5GuHY5xXIwzf6gcqpgbz1Ef332swBXfd57+x1g\n2BTz4Xh7pPTQZ/moxGc49mEWC+H7O/xOBQzvr0OZ0qo6GX0fQiatXx5H75WZVlX/KQyX7Wbg2P2+\n7eiv4ri3gVHWj3E5XH8+Faenp8ODPmiZ3cPrvlZ+omlZyRdlsrqeMGHChAlPOB4L8gOJDyoLxO66\nYjkIMQL/AWK5x+Ggfhzw9JUxPiD3z0eB+WD8KJQa6HlktWIviN8lBT2p+f/bO/9QTa7yjn+e3fWN\n13jZTbTK1gRjIESktHERm1AJQWtrQjH/SIkUjMUSaIuo/aMmCIL/tSKlEYo2+AMrNjVGrSG0telq\n/2ihaxNN4ppNzLZGs8Fkbalx1QuvdY9/zDkz58dz5p272Xnfmd3nA5c7c+bMzHfee957zjPPc57T\nf43am+3lUh/8dXrL89KEBVvqG2HtetrilZGSYvCYGzOxEZnv950bf37l37CdEJGcXwsf06Y3bPec\n32zXB/678STtNtFxHELVZpzzczByb0zYT+eEkJWlBq+qMQl38+mgs2M5fQvD1sqHzylb4elblGsB\nxce6Td2j9GwltXZHOecsmVdDbgRV5qV1R8v/QZmntQxjq6C8HIhEFN+V/HLtfqgX0pe/5CVKhjjf\nzmg87eF/7fb2fsz6MQzDMM51JmH87Nm7F7a6rGfdYDd0zOmckG4ifu6N8JWiOQeLRbq6fDrEpzgW\nv1nOPRi5ARD/jq+9JB3k5+fU9mtjn7436GlK6yzkpjLQXGaDxDxxg+a1GWLc9IfIlUZS+tY9yXhR\nRRuy17xAQ6gZAauuV8zjya5zqnKsNXTwxo6yIG8YqGrGTTf/XTNAIP6uxB6ufi9ASu4dqRF7Tprs\nfTtKeVq/dx6R8mKgbY8rDZvIP7bLUMqapGAY7VAzNvX5OP3aKiI0j3R4SVATrs2RaudA7U+MoJbg\n7okyv506tdP+Y92zb5XvzTAMwzDmzSSMn9POgV9l/FS+2F6btyCbVExpmORhZDGF58LXawfkxHN3\nyrkv7XmKARBfIza2tLr5ej41iqxzFcrFL4fP81Hvu0y1a+fExl1iLPZozq8XBpRBb9V7EW/7pAXa\n8SFeG83QKebf0BknfecVx5QkC0Ff75owwRNUSdwRytry6ui5DI07U4Ow1n5WtqvKfLP877vKKxmj\nhan6mr3PsIrh9lGXVXFIAoghhlfyuSjHV82za1HCUTvv1rLVHHufWnP4VGibJI19j832MQzDMM5x\nJmH8QJd0IfTDW1sLP8G4SVawtbVo1tBR5/NkA+/FojBY2iFBPLdA8WA0L5nLt8y5IZNP6PeFrY7k\nGtE9lp110f+RKJ6lGmHydbtfGbTCEN9K+uxqEoToeFy3plkziHqHkT2ZuQJDjJ5T2Twbba2W4h7U\n13PRrt8l3ahdL6qvaOtL2d3eQykvKf+y22cwqz43SPNFdmuhdrGXQTOAaPf7jQjte6Ub6mWbqhlY\nqkEy8KPRPGB5SFuRYTEy9mJPXcjUp2Wwi6/R/50vX/rkHlV/oD2+WCwaT5C/Z5g6mbSpHWBn6V9E\nGYZhGMa5y0SMH6F7U9kYPTsss9S2PjFBW9KtJZIPwvOhUvDG1AbxviCbTK0PQrTQlHjNG9Wo2cXE\nb51Fu3gpym/oBqZ5vWKQWnkOzXCM6+XhgH2eodr1c6oGW1S+yqjQPSVd+NiqcC81CcE2ZRmpMRVf\nK59HlIS5ZZqDF2c78/jUPEDq+jPFE3sq809q2opjdIZLO7AnNa6LuSztrdIQxjKkMZwzPCQteGL7\nwijz+2vhgGoq+BXzpZJrrDiep2pPnpn0M00MowH3rhmAmtc7+YnqNp9T7lEPyWVCc/fhb6fN+DEM\nwzDObaZh/Jw+DTtxNqUFW4vG1Al5BJZLbbp/5I2Jkwr4o5oRU9tOrtobbpJOyv5xXHeXRo42b0i/\n/7IdVMWoYWM72aKQyaAreppssKQ9gzbw6rQNDzuqJ3VTBqUD6V8AdbswENpkAtn5YTsJTWvTAOvG\nyErvUZQ5LqS3Tu6WGVBxpjct5XX+DFUvUM9neCq7fjDkkoQL+UmRZyJPDBDK8rBLLZQrZClL6gwO\ng8v39XaXeFNiw21AYoiVxk10/d210lSb36nW0z677n9EGtobv4gAorBdiv9/i0X82qhJKNN6gXxp\n18ot4YFhGIZxbjMJ42fPHlpvT8uyG/g0c0zwC5M25HNOEpblWjOrwsdWmy1RLH2W5KB2bt/8GagP\n5Lpj3fH6BPc001seUqOn8k2TD+QDKW2uU6FVkV6diN4mcas/Q8yQuSorU06HaxUro7Yrf3YeGOX+\nibHgjZPYqMm9QNq9TkX3CPvx3drQt2yhzVx7a6gMWBC1RuLxiu6pJUNojZPi75MaLPHRJMFGaSUV\nBog2V02jeDFQrZm+DMgn++ceLe2eWnNsHynco+f+fbSX3inX4kr0KCLiZC41z/OCyNihq9tFo4bv\ntveud3cG/Pdle5vTZvsYhmEY5ziTMH5AGm8PaWxbG01G2C+zlCWD8mh+Sp+xkxslWqhcngWtl2oY\nWPhdN3JqYXZ5qEoxsItoBpRKZrBsu+8N+9BwPy37Vqml3M6foU9LOk+mP0yreqxnMc887XNxTqYj\nTk8de2iSMLVsgclgVKxeF6gMy6uG1w3wOiXPk+8rn4l2tWAk5BkDY69NblzXMrkFI6rP2FnVHpIQ\nr2qt6H7K73w71hJliVaO+9+1u69ISNJeJ7pfbz1lHlHVQ9xKSOf9pJ6f9HurhcCFe26zNZkewTAM\nwzDGYlBXJyIHRORuEXlURI6JyDUicrGI3Ccij/vfF/m6IiIfFpHjIvKwiBwaco8Q3sYyJCNAGWuo\nhUWWt77Be975awZVMASGeI/iuvX7lZ6WvG5itA0YUPWFD8Xl8VvmVemLV3mo+ub7DCXO8jYke9aZ\nrstTS1KgzQPKz8kNmZaetNThPI3YwxOfExs6scETrwcE2byhnhTVRahf5fnyOprufG5K7rGJjaD4\nnBqagaPNC9LYjQd3qEdJ/96sCr98LvP5soQfu0xGkXtl83k9bZl/MZF+TnqWyua72OnZmrnts45+\nyjAMw5g/Q/u624F/cs69Evg14BhwK3DYOXcFcNjvA1wPXOF/bgE+ckbKkjHFIvqlGw7VyyiDhvaq\nitGSl8VGkBYOVtOSxONnXhPNE1SbdwO0SQza7FvZYLRvTkEtOUJOOTBNn0t73rxeri8fKGuhVNXB\n5i4Gh9rgvS8kLfes5OFl2nZ+rT4jBMrQuVqd2MipXlO5Xx5+p2nt+1z6suDFf7utra3ibzFsHaDV\nIWZFSuze65XzbfrslNII2sorKEkc8uvXvUZ9CQjOBkGTtoZW+X8n3i6NnPhYmDvEYtGuCQThs1yw\nZ8+czZ8N9FOGYRjG7Ni3qoKI7AeuBd4O4JxbAksRuRG4zlf7FPCvwHuBG4G/cc454D/827iDzrnv\n992nyevktwvnhz+6hNosG3VeSnSsVqaljc23c7QBSa62Nu8oL9O8KcW9K2FDariQNiKMQpSqizBm\nb/Br9fTBaTqnQ/NK9V0r9k5V540oNCmmU89LX5hbc44SPrbK+PDX6BaG7F8vqL2fv0+R2U2pP2Sh\noiQznHKd+FniY31pvmvPXISzKe0jD4sLxAk2tDqxpyUv6yNvkc20nh29/ZAbcalnJ07hndcfokXL\n8Ni/Ps9qD5H2natlVQzzeLr5QGXIbz0z5SL6/4Q3hELdeS70s65+yjAMw5g/4las6yAiVwF3AI/Q\nvE17AHgX8JRz7oCvI8D/OecOiMi9wJ855/7NHzsMvNc5d3923Vto3rgB/Apw9Kw91Xp4MfA/mxax\nC0zv+MxN89z0wvw0z03vlc65IWsGTwrrp6rMrf3NTS/MT7PpHZ+5aZ6b3ufcT630/Pg6h4B3OueO\niMjtdKEDADjnnIjsaoEI59wdNJ0VInK/c+41uzl/08xNs+kdn7lpnptemJ/mOerdtIYzxPophblp\nnptemJ9m0zs+c9M8R73P9RpDArxPACecc0f8/t00ncwzInLQCzkInPTHnwIujc6/xJcZhmEYxhhY\nP2UYhmEMYqXx45x7GnhSRK70RW+gCS24B7jZl90MfMlv3wO8zWfTuRp41uKoDcMwjLGwfsowDMMY\nypCwN4B3Ap8RkQXw38Dv0xhOd4nIO4DvAr/r6/4DcANwHPipr7uKO3YjeiLMTbPpHZ+5aZ6bXpif\nZtO7PqyfKpmb5rnphflpNr3jMzfN553elQkPDMMwDMMwDMMwzgVmvaiDYRiGYRiGYRjGUMz4MQzD\nMAzDMAzjvGDjxo+IvElEHhOR4yJy6+ozxkdEPiEiJ0XkaFR2sYjcJyKP+98X+XIRkQ97/Q+LyKEN\n6L1URL4qIo+IyLdE5F0z0Px8EfmaiDzkNX/Al79CRI54bZ/18fuIyAV+/7g/ftm6NXsde0XkG36d\nkDnofUJEvikiD4b0kBNvFwdE5G4ReVREjonINVPVKyJX+s81/PxIRN49Vb2R7vf479xREbnTfxcn\n3Y43jVg/dTb0Wj+1Pt3WT42r1/qp8XWP20855zb2A+wF/gu4HFgADwGv2qQmr+tamjSpR6OyDwK3\n+u1bgT/32zcA/0izNPrVwJEN6D0IHPLb28C3gVdNXLMAL/TbzwOOeC13ATf58o8Cf+i3/wj4qN++\nCfjshtrGnwB/C9zr96eu9wngxVnZlNvFp4A/8NsL4MCU9Ua69wJPAy+fsl7gZcB3gC2/fxfw9qm3\n403+YP3U2dJr/dT6dFs/Na5e66fG1Tl6P7WRP0D0gNcAX472bwNu26SmSMtlpJ3KY8BBv30QeMxv\n/zXwVq3eBrV/CXjjXDQDLwC+Dvw6zSrD+/L2AXwZuMZv7/P1ZM06LwEOA68H7vX/HCar19/7CcpO\nZZLtAtjv/+FJVj5JvZnG3wL+fep6aTqVJ4GLfbu8F/jtqbfjTf5g/dRY2q2fGken9VPjarV+anyd\no/dTmw57Cw8YOOHLpshLXbcOxNPAS/32pJ7Bu/teTfOGatKavWv+QZqFB++jebv6Q+fc/yu6Ws3+\n+LPAi9armL8E/hQ47fdfxLT1Ajjgn0XkARG5xZdNtV28AvgB8EkfsvExEbmQ6eqNuQm4029PVq9z\n7ingQ8D3gO/TtMsHmH473iQb/7vtgsm2vRjrp0bF+qlxsX5qZNbRT23a+JklrjEv3aZ15IjIC4HP\nA+92zv0oPjZFzc65nzvnrqJ5U/Va4JUbllRFRH4HOOmce2DTWnbJ65xzh4DrgT8WkWvjgxNrF/to\nwng+4px7NfATGnd8y8T0AuDjjt8MfC4/NjW9Pq77RpoO/JeBC4E3bVSUMQpTa3sB66fGw/qptWD9\n1Miso5/atPHzFHBptH+JL5siz4jIQQD/+6Qvn8QziMjzaDqUzzjnvuCLJ6054Jz7IfBVGjfmAREJ\ni+/GulrN/vh+4H/XKPM3gDeLyBPA39GEFNw+Yb1A+wYF59xJ4Is0nfdU28UJ4IRz7ojfv5umk5mq\n3sD1wNedc8/4/Snr/U3gO865HzjnfgZ8gaZtT7odb5gp/N2GMuW2Z/3U+Fg/NT7WT43P6P3Upo2f\n/wSu8BkcFjQuuXs2rKnGPcDNfvtmmnjlUP42nyHjauDZyJW4FkREgI8Dx5xzfxEdmrLmXxKRA357\niyb2+xhN5/KWiubwLG8BvuLfVqwF59xtzrlLnHOX0bTTrzjnfm+qegFE5EIR2Q7bNPG+R5lou3DO\nPQ08KSJX+qI3AI9MVW/EW+lCCYKuqer9HnC1iLzA/98In/Fk2/EEsH7qLGD91PhYPzU+1k+thfH7\nqaETkMb6ocks8W2aONr3bVqP13QnTZzhz2is/HfQxA8eBh4H/gW42NcV4K+8/m8Cr9mA3tfRuCwf\nBh70PzdMXPOvAt/wmo8C7/fllwNfA47TuGcv8OXP9/vH/fHLN9g+rqPLojNZvV7bQ/7nW+H7NfF2\ncRVwv28Xfw9cNHG9F9K8YdoflU1Wr9fxAeBR/737NHDBlNvxFH6wfups6LV+ar3ar8P6qbE0Wz81\nvuZR+ynxJxqGYRiGYRiGYZzTbDrszTAMwzAMwzAMYy2Y8WMYhmEYhmEYxnmBGT+GYRiGYRiGYZwX\nmPFjGIZhGIZhGMZ5gRk/hmEYhmEYhmGcF5jxYxiGYRiGYRjGeYEZP4ZhGIZhGIZhnBf8AlKDRwWL\nD4KWAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1008x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ytaiq9ddChb4",
        "colab_type": "code",
        "outputId": "1afc89a2-8acd-44b5-8a61-b2b0ac0df739",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "road = np.zeros((600, 800))\n",
        "road[np.where(mask==7)[0], np.where(mask==7)[1]]=1\n",
        "plt.imshow(road)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fdb70cec860>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mRyVEx+lAkGrp9/Pbls/Rzbn1jq5bP/vWqiegDFFp9E18Pnr9PI9LL7WVPdO5mI8gHvU3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\nVIFhKkkVGKaSVMH/A2//kE/xrADJAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OLpbjaKeCrrn",
        "colab_type": "code",
        "outputId": "854ff159-72cb-4566-e68f-59cf15ba5457",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "height, width = 600, 800\n",
        "images = np.zeros((len(image_list), height, width, 3), dtype=np.int16)\n",
        "masks = np.zeros((len(image_list), height, width, 1), dtype=np.int8)\n",
        "\n",
        "for n in tqdm(range(len(image_list))):\n",
        "    img = imageio.imread(image_list[n])\n",
        "    \n",
        "    mask = imageio.imread(mask_list[n])\n",
        "    mask_road = np.zeros((600, 800, 1), dtype=np.int8)\n",
        "    mask_road[np.where(mask==7)[0], np.where(mask==7)[1]]=1\n",
        "    \n",
        "    images[n] = img\n",
        "    masks[n] = mask_road"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 1000/1000 [00:31<00:00, 32.01it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZFbgdtTQJxKi",
        "colab_type": "code",
        "outputId": "9d5fd83c-b4fe-45dc-f307-72fdd50b3d57",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "plt.imshow(images[1].reshape(600, 800, 3))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fdb6ec529e8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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wLY5NszmVoY1PksH0baI8E+VX9bHsXsJOVS2LYUVaXqWOb+9ljbyISzQZuQEb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ixUyDTFy6wzleu4LC5fYN2ysLxRDOQyt4qxskSXBk8INBUjFUNh8F2XYZxSaWtRqFSB1wus17ID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\n9ERO5ERO5A7IiTI9kRM5kRO5A/L/AyLGkkrUejhdAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vfbfG47UJ9Z5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "np.random.seed(123)\n",
        "shuffle_ids = np.array([i for i in range(len(masks))])\n",
        "np.random.shuffle(shuffle_ids)\n",
        "train_ids = shuffle_ids[:int(len(masks)*0.8)]\n",
        "val_ids = shuffle_ids[int(len(masks)*0.8):int(len(masks)*0.8+100)]\n",
        "test_ids = shuffle_ids[int(len(masks)*0.8+100):]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oK5PdMCUKAEe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "train_images, train_masks = images[train_ids], masks[train_ids]\n",
        "val_images, val_masks = images[val_ids], masks[val_ids]\n",
        "test_images, test_masks = images[test_ids], masks[test_ids]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vprb1m_5KCpz",
        "colab_type": "code",
        "outputId": "37a96763-ede8-4c0c-906f-a67506152638",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "train_images.shape, val_images.shape, test_images.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((800, 600, 800, 3), (100, 600, 800, 3), (100, 600, 800, 3))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oWXNhU3iKE4T",
        "colab_type": "code",
        "outputId": "7c26b1e4-8ac3-4d1a-9512-02308f00b1f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from keras.models import Model, load_model\n",
        "from keras.layers import Input\n",
        "from keras.layers.core import Lambda, RepeatVector, Reshape\n",
        "from keras.layers.convolutional import Conv2D, Conv2DTranspose\n",
        "from keras.layers.pooling import MaxPooling2D\n",
        "from keras.layers.merge import concatenate\n",
        "from keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau\n",
        "from keras import backend as K"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n4OTfaZoKHPS",
        "colab_type": "code",
        "outputId": "ba2ab2e5-9549-4ee3-e78e-06c2b4cec1e2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# Build U-Net model\n",
        "input_img = Input((height, width, 3), name='img')\n",
        "\n",
        "c1 = Conv2D(8, (3, 3), activation='relu', padding='same') (input_img)\n",
        "c1 = Conv2D(8, (3, 3), activation='relu', padding='same') (c1)\n",
        "p1 = MaxPooling2D((2, 2)) (c1)\n",
        "\n",
        "c2 = Conv2D(16, (3, 3), activation='relu', padding='same') (p1)\n",
        "c2 = Conv2D(16, (3, 3), activation='relu', padding='same') (c2)\n",
        "p2 = MaxPooling2D((2, 2)) (c2)\n",
        "\n",
        "c3 = Conv2D(32, (3, 3), activation='relu', padding='same') (p2)\n",
        "c3 = Conv2D(32, (3, 3), activation='relu', padding='same') (c3)\n",
        "p3 = MaxPooling2D((2, 2)) (c3)\n",
        "\n",
        "c4 = Conv2D(64, (3, 3), activation='relu', padding='same') (p3)\n",
        "c4 = Conv2D(64, (3, 3), activation='relu', padding='same') (c4)\n",
        "\n",
        "u5 = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same') (c4)\n",
        "u5 = concatenate([u5, c3])\n",
        "c6 = Conv2D(32, (3, 3), activation='relu', padding='same') (u5)\n",
        "c6 = Conv2D(32, (3, 3), activation='relu', padding='same') (c6)\n",
        "\n",
        "u7 = Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same') (c6)\n",
        "u7 = concatenate([u7, c2])\n",
        "c7 = Conv2D(16, (3, 3), activation='relu', padding='same') (u7)\n",
        "c7 = Conv2D(16, (3, 3), activation='relu', padding='same') (c7)\n",
        "\n",
        "u8 = Conv2DTranspose(16, (2, 2), strides=(2, 2), padding='same') (c7)\n",
        "u8 = concatenate([u8, c1])\n",
        "c8 = Conv2D(8, (3, 3), activation='relu', padding='same') (u8)\n",
        "c8 = Conv2D(8, (3, 3), activation='relu', padding='same') (c8)\n",
        "\n",
        "outputs = Conv2D(1, (1, 1), activation='sigmoid') (c8)\n",
        "\n",
        "model = Model(inputs=[input_img], outputs=[outputs])\n",
        "model.compile(optimizer='adam', loss='binary_crossentropy') #, metrics=[mean_iou]) # The mean_iou metrics seens to leak train and test values...\n",
        "model.summary()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:793: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3657: The name tf.log is deprecated. Please use tf.math.log instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/nn_impl.py:180: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "Model: \"model_1\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "img (InputLayer)                (None, 600, 800, 3)  0                                            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_1 (Conv2D)               (None, 600, 800, 8)  224         img[0][0]                        \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_2 (Conv2D)               (None, 600, 800, 8)  584         conv2d_1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2D)  (None, 300, 400, 8)  0           conv2d_2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_3 (Conv2D)               (None, 300, 400, 16) 1168        max_pooling2d_1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_4 (Conv2D)               (None, 300, 400, 16) 2320        conv2d_3[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_2 (MaxPooling2D)  (None, 150, 200, 16) 0           conv2d_4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_5 (Conv2D)               (None, 150, 200, 32) 4640        max_pooling2d_2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_6 (Conv2D)               (None, 150, 200, 32) 9248        conv2d_5[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "max_pooling2d_3 (MaxPooling2D)  (None, 75, 100, 32)  0           conv2d_6[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_7 (Conv2D)               (None, 75, 100, 64)  18496       max_pooling2d_3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_8 (Conv2D)               (None, 75, 100, 64)  36928       conv2d_7[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_transpose_1 (Conv2DTrans (None, 150, 200, 64) 16448       conv2d_8[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_1 (Concatenate)     (None, 150, 200, 96) 0           conv2d_transpose_1[0][0]         \n",
            "                                                                 conv2d_6[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_9 (Conv2D)               (None, 150, 200, 32) 27680       concatenate_1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_10 (Conv2D)              (None, 150, 200, 32) 9248        conv2d_9[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_transpose_2 (Conv2DTrans (None, 300, 400, 32) 4128        conv2d_10[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_2 (Concatenate)     (None, 300, 400, 48) 0           conv2d_transpose_2[0][0]         \n",
            "                                                                 conv2d_4[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_11 (Conv2D)              (None, 300, 400, 16) 6928        concatenate_2[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_12 (Conv2D)              (None, 300, 400, 16) 2320        conv2d_11[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_transpose_3 (Conv2DTrans (None, 600, 800, 16) 1040        conv2d_12[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "concatenate_3 (Concatenate)     (None, 600, 800, 24) 0           conv2d_transpose_3[0][0]         \n",
            "                                                                 conv2d_2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_13 (Conv2D)              (None, 600, 800, 8)  1736        concatenate_3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_14 (Conv2D)              (None, 600, 800, 8)  584         conv2d_13[0][0]                  \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_15 (Conv2D)              (None, 600, 800, 1)  9           conv2d_14[0][0]                  \n",
            "==================================================================================================\n",
            "Total params: 143,729\n",
            "Trainable params: 143,729\n",
            "Non-trainable params: 0\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SD2UDgXpKJqY",
        "colab_type": "code",
        "outputId": "8e72a069-0d5b-425d-adfb-c402c1b453e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "callbacks = [\n",
        "    EarlyStopping(patience=12, verbose=1),\n",
        "    ReduceLROnPlateau(patience=3, verbose=1),\n",
        "    ModelCheckpoint('model-sdc-seg-v2.h5', verbose=1, save_best_only=True)\n",
        "]\n",
        "\n",
        "results = model.fit(train_images, train_masks, batch_size=16, epochs=100, callbacks=callbacks,\n",
        "                    validation_data=(val_images, val_masks))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1033: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n",
            "\n",
            "Train on 800 samples, validate on 100 samples\n",
            "Epoch 1/100\n",
            "800/800 [==============================] - 49s 62ms/step - loss: 0.6509 - val_loss: 0.4226\n",
            "\n",
            "Epoch 00001: val_loss improved from inf to 0.42260, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 2/100\n",
            "800/800 [==============================] - 35s 44ms/step - loss: 0.4018 - val_loss: 0.3915\n",
            "\n",
            "Epoch 00002: val_loss improved from 0.42260 to 0.39152, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 3/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.3696 - val_loss: 0.3754\n",
            "\n",
            "Epoch 00003: val_loss improved from 0.39152 to 0.37537, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 4/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.3445 - val_loss: 0.3261\n",
            "\n",
            "Epoch 00004: val_loss improved from 0.37537 to 0.32611, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 5/100\n",
            "800/800 [==============================] - 36s 45ms/step - loss: 0.3097 - val_loss: 0.2762\n",
            "\n",
            "Epoch 00005: val_loss improved from 0.32611 to 0.27621, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 6/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.2729 - val_loss: 0.2811\n",
            "\n",
            "Epoch 00006: val_loss did not improve from 0.27621\n",
            "Epoch 7/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.2399 - val_loss: 0.1861\n",
            "\n",
            "Epoch 00007: val_loss improved from 0.27621 to 0.18614, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 8/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.1798 - val_loss: 0.1428\n",
            "\n",
            "Epoch 00008: val_loss improved from 0.18614 to 0.14278, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 9/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.1421 - val_loss: 0.1466\n",
            "\n",
            "Epoch 00009: val_loss did not improve from 0.14278\n",
            "Epoch 10/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.1189 - val_loss: 0.1159\n",
            "\n",
            "Epoch 00010: val_loss improved from 0.14278 to 0.11585, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 11/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0996 - val_loss: 0.1202\n",
            "\n",
            "Epoch 00011: val_loss did not improve from 0.11585\n",
            "Epoch 12/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0929 - val_loss: 0.0891\n",
            "\n",
            "Epoch 00012: val_loss improved from 0.11585 to 0.08912, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 13/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0850 - val_loss: 0.0945\n",
            "\n",
            "Epoch 00013: val_loss did not improve from 0.08912\n",
            "Epoch 14/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0741 - val_loss: 0.0759\n",
            "\n",
            "Epoch 00014: val_loss improved from 0.08912 to 0.07585, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 15/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0725 - val_loss: 0.0751\n",
            "\n",
            "Epoch 00015: val_loss improved from 0.07585 to 0.07512, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 16/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0635 - val_loss: 0.0676\n",
            "\n",
            "Epoch 00016: val_loss improved from 0.07512 to 0.06760, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 17/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0808 - val_loss: 0.0681\n",
            "\n",
            "Epoch 00017: val_loss did not improve from 0.06760\n",
            "Epoch 18/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0604 - val_loss: 0.0620\n",
            "\n",
            "Epoch 00018: val_loss improved from 0.06760 to 0.06205, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 19/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0561 - val_loss: 0.0726\n",
            "\n",
            "Epoch 00019: val_loss did not improve from 0.06205\n",
            "Epoch 20/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0532 - val_loss: 0.0653\n",
            "\n",
            "Epoch 00020: val_loss did not improve from 0.06205\n",
            "Epoch 21/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0503 - val_loss: 0.0540\n",
            "\n",
            "Epoch 00021: val_loss improved from 0.06205 to 0.05405, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 22/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0465 - val_loss: 0.0556\n",
            "\n",
            "Epoch 00022: val_loss did not improve from 0.05405\n",
            "Epoch 23/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0426 - val_loss: 0.0511\n",
            "\n",
            "Epoch 00023: val_loss improved from 0.05405 to 0.05111, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 24/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0399 - val_loss: 0.0495\n",
            "\n",
            "Epoch 00024: val_loss improved from 0.05111 to 0.04949, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 25/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0389 - val_loss: 0.0597\n",
            "\n",
            "Epoch 00025: val_loss did not improve from 0.04949\n",
            "Epoch 26/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0385 - val_loss: 0.0497\n",
            "\n",
            "Epoch 00026: val_loss did not improve from 0.04949\n",
            "Epoch 27/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0445 - val_loss: 0.0594\n",
            "\n",
            "Epoch 00027: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.\n",
            "\n",
            "Epoch 00027: val_loss did not improve from 0.04949\n",
            "Epoch 28/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0376 - val_loss: 0.0440\n",
            "\n",
            "Epoch 00028: val_loss improved from 0.04949 to 0.04405, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 29/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0331 - val_loss: 0.0431\n",
            "\n",
            "Epoch 00029: val_loss improved from 0.04405 to 0.04311, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 30/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0320 - val_loss: 0.0416\n",
            "\n",
            "Epoch 00030: val_loss improved from 0.04311 to 0.04156, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 31/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0308 - val_loss: 0.0416\n",
            "\n",
            "Epoch 00031: val_loss improved from 0.04156 to 0.04155, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 32/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0301 - val_loss: 0.0412\n",
            "\n",
            "Epoch 00032: val_loss improved from 0.04155 to 0.04122, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 33/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0298 - val_loss: 0.0416\n",
            "\n",
            "Epoch 00033: val_loss did not improve from 0.04122\n",
            "Epoch 34/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0292 - val_loss: 0.0406\n",
            "\n",
            "Epoch 00034: val_loss improved from 0.04122 to 0.04065, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 35/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0290 - val_loss: 0.0401\n",
            "\n",
            "Epoch 00035: val_loss improved from 0.04065 to 0.04010, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 36/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0288 - val_loss: 0.0407\n",
            "\n",
            "Epoch 00036: val_loss did not improve from 0.04010\n",
            "Epoch 37/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0285 - val_loss: 0.0403\n",
            "\n",
            "Epoch 00037: val_loss did not improve from 0.04010\n",
            "Epoch 38/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0282 - val_loss: 0.0411\n",
            "\n",
            "Epoch 00038: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.\n",
            "\n",
            "Epoch 00038: val_loss did not improve from 0.04010\n",
            "Epoch 39/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0278 - val_loss: 0.0399\n",
            "\n",
            "Epoch 00039: val_loss improved from 0.04010 to 0.03989, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 40/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0275 - val_loss: 0.0399\n",
            "\n",
            "Epoch 00040: val_loss did not improve from 0.03989\n",
            "Epoch 41/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0275 - val_loss: 0.0400\n",
            "\n",
            "Epoch 00041: val_loss did not improve from 0.03989\n",
            "Epoch 42/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0275 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00042: val_loss improved from 0.03989 to 0.03969, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 43/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0274 - val_loss: 0.0398\n",
            "\n",
            "Epoch 00043: val_loss did not improve from 0.03969\n",
            "Epoch 44/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0274 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00044: val_loss improved from 0.03969 to 0.03968, saving model to model-sdc-seg-v2.h5\n",
            "Epoch 45/100\n",
            "800/800 [==============================] - 36s 46ms/step - loss: 0.0274 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00045: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.\n",
            "\n",
            "Epoch 00045: val_loss did not improve from 0.03968\n",
            "Epoch 46/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00046: val_loss did not improve from 0.03968\n",
            "Epoch 47/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00047: val_loss did not improve from 0.03968\n",
            "Epoch 48/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00048: ReduceLROnPlateau reducing learning rate to 1.0000001111620805e-07.\n",
            "\n",
            "Epoch 00048: val_loss did not improve from 0.03968\n",
            "Epoch 49/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00049: val_loss did not improve from 0.03968\n",
            "Epoch 50/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00050: val_loss did not improve from 0.03968\n",
            "Epoch 51/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00051: ReduceLROnPlateau reducing learning rate to 1.000000082740371e-08.\n",
            "\n",
            "Epoch 00051: val_loss did not improve from 0.03968\n",
            "Epoch 52/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00052: val_loss did not improve from 0.03968\n",
            "Epoch 53/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00053: val_loss did not improve from 0.03968\n",
            "Epoch 54/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00054: ReduceLROnPlateau reducing learning rate to 1.000000082740371e-09.\n",
            "\n",
            "Epoch 00054: val_loss did not improve from 0.03968\n",
            "Epoch 55/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00055: val_loss did not improve from 0.03968\n",
            "Epoch 56/100\n",
            "800/800 [==============================] - 37s 46ms/step - loss: 0.0273 - val_loss: 0.0397\n",
            "\n",
            "Epoch 00056: val_loss did not improve from 0.03968\n",
            "Epoch 00056: early stopping\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PJZwgUrXKM_5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model.save('model_road_seg.h5')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QR9VQ2UTUW6h",
        "colab_type": "code",
        "outputId": "2b3dcf53-6330-499e-c9c0-c571ecef57fe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        }
      },
      "source": [
        "NUMBER = 0\n",
        "my_preds = model.predict(np.expand_dims(test_images[NUMBER], 0))\n",
        "my_preds = my_preds.flatten()\n",
        "my_preds = np.array([1 if i >= 0.5 else 0 for i in my_preds])\n",
        "fig, ax = plt.subplots(nrows=1, ncols=2)\n",
        "ax[0].imshow(my_preds.reshape(600, 800))\n",
        "ax[0].set_title('Prediction')\n",
        "ax[1].imshow(test_masks[NUMBER].reshape(600, 800))\n",
        "ax[1].set_title('Ground truth')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Ground truth')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAChCAYAAADOQGiYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L-6o6C8CUZZR",
        "colab_type": "code",
        "outputId": "4d837639-ea5d-470a-9acf-df3081b0d30d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        }
      },
      "source": [
        "NUMBER += 1\n",
        "my_preds = model.predict(np.expand_dims(test_images[NUMBER], 0))\n",
        "my_preds = my_preds.flatten()\n",
        "my_preds = np.array([1 if i >= 0.5 else 0 for i in my_preds])\n",
        "fig, ax = plt.subplots(nrows=1, ncols=2)\n",
        "ax[0].imshow(my_preds.reshape(600, 800))\n",
        "ax[0].set_title('Prediction')\n",
        "ax[1].imshow(test_masks[NUMBER].reshape(600, 800))\n",
        "ax[1].set_title('Ground truth')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Ground truth')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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W7cYVgPE6gDtIMzR1jamfOs22c11vTcp2YwqAv/iHU9PWmPrB2R5OTch27QvAyAXoTeLh\n06Q1pl7yF//wq3u2a10A3EF2aRegYfnbm7DG1CvO9i7OdnVqWQCa3Dmq+JD7Oc9BL9+6rzFNVlOz\nXdXn4Wz3V60KQCfh73UHqdOHUUe9XD7dfF51XWOaKGe7fpztmvwgzAzNjqN1/LPPe71mVJeFbWPr\n5Etxoqr8QRhn2+qc7VoWgE500lHcOZqn3UH+iapTAejUePl2tpunH4Vgstmu1S6gbrgDDCd/rgUv\nh+FTx88025+ENDPLnQuAmVmmXADMzDLlAmBmlikXADOzTLkAmJllygXAzCxTLgBmZplyATAzy5QL\ngJlZpjoqAJJmSbpB0o8krZd0rKTZkr4s6cfp//3SuJL0CUkbJN0paWF//wSziXO2LWedbgFcAvxP\nRPw+cASwHrgYWB0RhwGr03OAk4DD0r+lwKU9bbFZbznblq1xC4CkmcDLgcsBIuKZiNgGLAFWpNFW\nAKemx0uAK6PwHWCWpDk9b7nZJDnblrtOtgAOBh4DPiPpDkmXSdobODAitqRxHgYOTI/nARtL79+U\nhpnVjbNtWevkdtBTgYXAWyNijaRL2LVJDEBEhKSuflhA0lKKzWiAp78SN/ywm/cPyAHA41U3YhRu\nV3d+b4zhznb9uF3dGSvbHemkAGwCNkXEmvT8BopO8oikORGxJW0GP5pe3wwsKL1/fhq2m4hYDiwH\nkLQ2IhZN8G/oG7erO3Vu1xgvOds143Z1p022OzLuLqCIeBjYKKlVaY4H7gZWAuekYecAN6fHK4Gz\n0xkTxwBPljanzWrD2bbcdfqLYG8FrpY0DbgPeCNF8bhe0rnAA8Dr07i3AouBDcCONK5ZXTnblq2O\nCkBErANG2/x5zo+dRvEjw+d12Y7lXY4/KG5XdxrXLme7dtyu7kyqXbX4UXgzMxs83wrCzCxTlRcA\nSSdKuiddXn/x+O/o6bwXSPqapLsl3SXp/DS88lsBSJqSzk2/JT0/WNKaNO/r0j5rJO2Znm9Irx/U\nrzal+dXy1gmS/jZ9hj+U9FlJ06tcZs512/bVLtvZ5joiKvsHTAF+AhwCTAO+Dxw+wPnPARamx/sC\n9wKHAx8CLk7DLwY+mB4vBr4ICDgGWNPHtr0duAa4JT2/Hjg9Pf4k8Ffp8VuAT6bHpwPX9XmZrQDe\nlB5PA2ZVvbwoLsb6KfA7pWX1F1UtM+e6ednONdcDCWSbP/BYYFXp+TJgWYXtuRl4DXAPMCcNmwPc\nkx5/CjijNP6z4/W4HfMp7kHzKuCWFLTHgakjlxuwCjg2PZ6axlOfls/MFEiNGF718mpdoTs7LYNb\ngBOqWmbOdbOynXOuq94FVJtL69Pm0lHAGqq/FcDHgQuB36bn+wPbImLnKPN9tk3p9SfT+P1Qy1sn\nRMRm4MPAg8AWimVwO9UtM+d6bHXMdra5rroA1IKkfYDPA2+LiJ+XX4uinA7sVClJJwOPRsTtg5pn\nF1q3Trg0Io4CtjPKrRMY4PICSPtml1B05LnA3sCJg2xDHdUp16k9dc12trmuugB0dGl9P0nag6KT\nXB0RN6bBjyjd5VETuBXAJB0HnCLpfuBaik3lSyjuPNm6bqM832fblF6fCWztcZtaRrt1wkKqXV4A\nrwZ+GhGPRcSvgRsplmNVy8y5Hl1ds51trqsuALcBh6Wj2tMoDlysHNTMJYniVsDrI+KjpZcquxVA\nRCyLiPkRcRDF8vhqRJwJfA04bYw2tdp6Whq/L2sqUd9bJzwIHCNpr/SZttpV1TJzrkdR12xnnete\nH7iYwIGOxRRnKfwEeOeA5/0yis26O4F16d9iiv1mq4EfA18BZqfxBfx7ausPgEV9bt8r2XWmxCHA\ndyluQ/A5YM80fHp6viG9fkif23QksDYts5uA/eqwvID3AD8CfghcBexZ5TJzrpuV7Vxz7SuBzcwy\nVfUuIDMzq4gLgJlZplwAzMwy5QJgZpYpFwAzs0y5AJiZZcoFwMwsUy4AZmaZ+n+ISa2GrT6SZwAA\nAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pFGY6ffwUbgB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}