10_images_10_matrices.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TfData for first 10 images.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyO9Oevp2GZtfSPf6mVAdRoj",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Arunav07/CRISTL-Project-1/blob/main/10_images_10_matrices.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ab3261K04sEF",
        "outputId": "28396fdf-db2f-411e-adb2-db29baf9087e"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount(\"/content/gdrive\")\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import tensorflow as tf\n",
        "\n",
        "from PIL import Image\n",
        "import glob\n",
        "import natsort"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N8GI3e9v46eT"
      },
      "source": [
        "Images = glob.glob(\"/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/*.jpg\")\n"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SU2oOSDW48Gv"
      },
      "source": [
        "Images = natsort.natsorted(Images,reverse=False)"
      ],
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mxkG59iT5Ama",
        "outputId": "79dc97de-e0da-47c9-ac93-05b4ffef648a"
      },
      "source": [
        "#To check whether all images are read successfully or not.\n",
        "print(Images)\n",
        "print(type(Images))\n",
        "print(len(Images))\n"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0011940.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012000.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012060.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012120.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012180.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012240.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012300.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012360.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012480.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012540.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012600.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012660.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012720.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012780.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012900.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0012960.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013080.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013140.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013200.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013260.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013320.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013380.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013440.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013500.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013560.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013620.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013680.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013740.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013800.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013920.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0013980.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0014040.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0014100.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0014160.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0014220.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0014280.jpg', '/content/gdrive/My 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Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015540.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015600.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015660.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015720.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015780.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015840.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0015900.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0016020.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0016080.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0016680.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0016740.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0016800.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0016860.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0017100.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0017220.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0017280.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0017400.jpg']\n",
            "<class 'list'>\n",
            "385\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4-NjScX66va_",
        "outputId": "ece8a1b5-468c-4079-e244-f4aa260413a2"
      },
      "source": [
        "\n",
        "Image_10=['/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000006_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000054_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0000060.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000060_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000066_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000072_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000078_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000084_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000090_r.jpg', '/content/gdrive/My Drive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/000096_r.jpg']\n",
        "print(len(Image_10))"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CfJB92DT5Fvw"
      },
      "source": [
        "Image_array=[]\n",
        "for i in Image_10:\n",
        "  Image=tf.io.read_file(i)\n",
        "  im_decoded = tf.io.decode_jpeg(Image) \n",
        "  # img=tf.image.rgb_to_grayscale(im_decoded)\n",
        "  img = tf.image.central_crop(im_decoded, 0.85)\n",
        "  img = tf.image.resize(img, size=(256, 256))\n",
        "  img = np.asarray(img)\n",
        "  Image_array.append(img)"
      ],
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "A = np.array(Image_array)"
      ],
      "metadata": {
        "id": "D0gH4Bx_w5AT"
      },
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "A.shape"
      ],
      "metadata": {
        "id": "YlMWyo9Tw-sx",
        "outputId": "09018c16-6f99-4269-a00a-5569265d255c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10, 256, 256, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mkiZccXM5nYJ",
        "outputId": "9c2c5bd6-47ee-42ad-a4ff-83b941864401"
      },
      "source": [
        "print(len(Image_array))"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Image_array[1].shape"
      ],
      "metadata": {
        "id": "vxmRD27qtsEN",
        "outputId": "b7a21cd0-3051-4de8-e710-8662077885b7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(256, 256, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "KxcXiXPj7Jev",
        "outputId": "8cd09184-7358-403d-9f5b-36de6f8d39b7"
      },
      "source": [
        "Label_matrix = pd.read_csv(\"/content/gdrive/MyDrive/IDD_Detection/matrix.csv\")\n",
        "Label_matrix"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Labels  truck  person  autorickshaw   car  motorcycle  rider  bus  \\\n",
              "0   Encodings      1       1             1     1           0      0    0   \n",
              "1        xmin     26     708           999   131           0      0    0   \n",
              "2        ymin    293     439           414   468           0      0    0   \n",
              "3        xmax    396     754          1132  1277           0      0    0   \n",
              "4        ymax    604     480           541   963           0      0    0   \n",
              "5      Labels  truck  person  autorickshaw   car  motorcycle  rider  bus   \n",
              "6   Encodings      1       1             1     0           0      0    0   \n",
              "7        xmin    633     985           686     0           0      0    0   \n",
              "8        ymin    391     448           410     0           0      0    0   \n",
              "9        xmax    660    1030           705     0           0      0    0   \n",
              "10       ymax     42     579           427     0           0      0    0   \n",
              "11     Labels  truck  person  autorickshaw   car  motorcycle  rider  bus   \n",
              "12  Encodings      1       0             0     0           0      0    0   \n",
              "13       xmin    617       0             0     0           0      0    0   \n",
              "14       ymin    385       0             0     0           0      0    0   \n",
              "15       xmax    653       0             0     0           0      0    0   \n",
              "16       ymax    425       0             0     0           0      0    0   \n",
              "17     Labels  truck  person  autorickshaw   car  motorcycle  rider  bus   \n",
              "18  Encodings      1       1             1     1           0      0    0   \n",
              "19       xmin     92     804          1018   265           0      0    0   \n",
              "20       ymin    354     505           473   521           0      0    0   \n",
              "21       xmax    456     843          1171  1279           0      0    0   \n",
              "22       ymax    653     535           601   962           0      0    0   \n",
              "23     Labels  truck  person  autorickshaw   car  motorcycle  rider  bus   \n",
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              "57       xmax    671     701           795     0           0      0    0   \n",
              "58       ymax    474     460           416     0           0      0    0   \n",
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              "\n",
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              "    <div class=\"colab-df-container\">\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Labels</th>\n",
              "      <th>truck</th>\n",
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              "  </thead>\n",
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              "      <td>xmin</td>\n",
              "      <td>26</td>\n",
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              "      <th>3</th>\n",
              "      <td>xmax</td>\n",
              "      <td>396</td>\n",
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              "      <th>4</th>\n",
              "      <td>ymax</td>\n",
              "      <td>604</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
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              "      <th>7</th>\n",
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              "      <td>633</td>\n",
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              "      <td>ymin</td>\n",
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              "      <th>9</th>\n",
              "      <td>xmax</td>\n",
              "      <td>660</td>\n",
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              "      <td>ymax</td>\n",
              "      <td>42</td>\n",
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              "      <td>Encodings</td>\n",
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              "      <td>xmin</td>\n",
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              "      <th>14</th>\n",
              "      <td>ymin</td>\n",
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              "      <th>15</th>\n",
              "      <td>xmax</td>\n",
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              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>ymax</td>\n",
              "      <td>425</td>\n",
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              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Encodings</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
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              "      <td>xmin</td>\n",
              "      <td>92</td>\n",
              "      <td>804</td>\n",
              "      <td>1018</td>\n",
              "      <td>265</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>ymin</td>\n",
              "      <td>354</td>\n",
              "      <td>505</td>\n",
              "      <td>473</td>\n",
              "      <td>521</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>xmax</td>\n",
              "      <td>456</td>\n",
              "      <td>843</td>\n",
              "      <td>1171</td>\n",
              "      <td>1279</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ymax</td>\n",
              "      <td>653</td>\n",
              "      <td>535</td>\n",
              "      <td>601</td>\n",
              "      <td>962</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>xmin</td>\n",
              "      <td>662</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>ymin</td>\n",
              "      <td>379</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>xmax</td>\n",
              "      <td>689</td>\n",
              "      <td>0</td>\n",
              "      <td>696</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>ymax</td>\n",
              "      <td>414</td>\n",
              "      <td>0</td>\n",
              "      <td>416</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>xmin</td>\n",
              "      <td>633</td>\n",
              "      <td>0</td>\n",
              "      <td>697</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>ymin</td>\n",
              "      <td>390</td>\n",
              "      <td>0</td>\n",
              "      <td>404</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>xmax</td>\n",
              "      <td>654</td>\n",
              "      <td>0</td>\n",
              "      <td>717</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>ymax</td>\n",
              "      <td>424</td>\n",
              "      <td>0</td>\n",
              "      <td>436</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>xmin</td>\n",
              "      <td>647</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>ymin</td>\n",
              "      <td>370</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>xmax</td>\n",
              "      <td>675</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>ymax</td>\n",
              "      <td>408</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>xmin</td>\n",
              "      <td>619</td>\n",
              "      <td>681</td>\n",
              "      <td>717</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>ymin</td>\n",
              "      <td>376</td>\n",
              "      <td>400</td>\n",
              "      <td>398</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>xmax</td>\n",
              "      <td>657</td>\n",
              "      <td>691</td>\n",
              "      <td>747</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>ymax</td>\n",
              "      <td>434</td>\n",
              "      <td>428</td>\n",
              "      <td>435</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>xmin</td>\n",
              "      <td>588</td>\n",
              "      <td>666</td>\n",
              "      <td>713</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>ymin</td>\n",
              "      <td>388</td>\n",
              "      <td>413</td>\n",
              "      <td>417</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>xmax</td>\n",
              "      <td>644</td>\n",
              "      <td>681</td>\n",
              "      <td>747</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>ymax</td>\n",
              "      <td>449</td>\n",
              "      <td>447</td>\n",
              "      <td>461</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>Labels</td>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>Encodings</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>xmin</td>\n",
              "      <td>584</td>\n",
              "      <td>681</td>\n",
              "      <td>735</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>ymin</td>\n",
              "      <td>372</td>\n",
              "      <td>423</td>\n",
              "      <td>416</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>xmax</td>\n",
              "      <td>671</td>\n",
              "      <td>701</td>\n",
              "      <td>795</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>ymax</td>\n",
              "      <td>474</td>\n",
              "      <td>460</td>\n",
              "      <td>416</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b4b1f3a9-fdae-4888-83ab-a1c594553a77')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b4b1f3a9-fdae-4888-83ab-a1c594553a77 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b4b1f3a9-fdae-4888-83ab-a1c594553a77');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ukeg1HNd8jq3"
      },
      "source": [
        "del Label_matrix['Labels']"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Z2FpL5qP5BFp",
        "outputId": "88a8eaf9-9cda-48c8-b549-b60cdc462279"
      },
      "source": [
        "#Label_matrix.drop(columns=['Labels'],axis=1)\n",
        "Label_matrix"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle  \\\n",
              "0       1       1             1     1           0      0    0        0   \n",
              "1      26     708           999   131           0      0    0        0   \n",
              "2     293     439           414   468           0      0    0        0   \n",
              "3     396     754          1132  1277           0      0    0        0   \n",
              "4     604     480           541   963           0      0    0        0   \n",
              "5   truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "6       1       1             1     0           0      0    0        0   \n",
              "7     633     985           686     0           0      0    0        0   \n",
              "8     391     448           410     0           0      0    0        0   \n",
              "9     660    1030           705     0           0      0    0        0   \n",
              "10     42     579           427     0           0      0    0        0   \n",
              "11  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "12      1       0             0     0           0      0    0        0   \n",
              "13    617       0             0     0           0      0    0        0   \n",
              "14    385       0             0     0           0      0    0        0   \n",
              "15    653       0             0     0           0      0    0        0   \n",
              "16    425       0             0     0           0      0    0        0   \n",
              "17  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "18      1       1             1     1           0      0    0        0   \n",
              "19     92     804          1018   265           0      0    0        0   \n",
              "20    354     505           473   521           0      0    0        0   \n",
              "21    456     843          1171  1279           0      0    0        0   \n",
              "22    653     535           601   962           0      0    0        0   \n",
              "23  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "24      1       0             1     0           0      0    0        0   \n",
              "25    662       0           677     0           0      0    0        0   \n",
              "26    379       0           393     0           0      0    0        0   \n",
              "27    689       0           696     0           0      0    0        0   \n",
              "28    414       0           416     0           0      0    0        0   \n",
              "29  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "30      1       0             1     0           0      0    0        0   \n",
              "31    633       0           697     0           0      0    0        0   \n",
              "32    390       0           404     0           0      0    0        0   \n",
              "33    654       0           717     0           0      0    0        0   \n",
              "34    424       0           436     0           0      0    0        0   \n",
              "35  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "36      1       0             0     0           0      0    0        0   \n",
              "37    647       0             0     0           0      0    0        0   \n",
              "38    370       0             0     0           0      0    0        0   \n",
              "39    675       0             0     0           0      0    0        0   \n",
              "40    408       0             0     0           0      0    0        0   \n",
              "41  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "42      1       1             1     0           0      0    0        0   \n",
              "43    619     681           717     0           0      0    0        0   \n",
              "44    376     400           398     0           0      0    0        0   \n",
              "45    657     691           747     0           0      0    0        0   \n",
              "46    434     428           435     0           0      0    0        0   \n",
              "47  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "48      1       1             1     0           0      0    0        0   \n",
              "49    588     666           713     0           0      0    0        0   \n",
              "50    388     413           417     0           0      0    0        0   \n",
              "51    644     681           747     0           0      0    0        0   \n",
              "52    449     447           461     0           0      0    0        0   \n",
              "53  truck  person  autorickshaw   car  motorcycle  rider  bus  bicycle   \n",
              "54      1       1             1     0           0      0    0        0   \n",
              "55    584     681           735     0           0      0    0        0   \n",
              "56    372     423           416     0           0      0    0        0   \n",
              "57    671     701           795     0           0      0    0        0   \n",
              "58    474     460           416     0           0      0    0        0   \n",
              "\n",
              "    vehicle fallback  traffic sign  animal  \n",
              "0                  0             0       0  \n",
              "1                  0             0       0  \n",
              "2                  0             0       0  \n",
              "3                  0             0       0  \n",
              "4                  0             0       0  \n",
              "5   vehicle fallback  traffic sign  animal  \n",
              "6                  0             0       0  \n",
              "7                  0             0       0  \n",
              "8                  0             0       0  \n",
              "9                  0             0       0  \n",
              "10                 0             0       0  \n",
              "11  vehicle fallback  traffic sign  animal  \n",
              "12                 0             0       0  \n",
              "13                 0             0       0  \n",
              "14                 0             0       0  \n",
              "15                 0             0       0  \n",
              "16                 0             0       0  \n",
              "17  vehicle fallback  traffic sign  animal  \n",
              "18                 0             0       0  \n",
              "19                 0             0       0  \n",
              "20                 0             0       0  \n",
              "21                 0             0       0  \n",
              "22                 0             0       0  \n",
              "23  vehicle fallback  traffic sign  animal  \n",
              "24                 0             0       0  \n",
              "25                 0             0       0  \n",
              "26                 0             0       0  \n",
              "27                 0             0       0  \n",
              "28                 0             0       0  \n",
              "29  vehicle fallback  traffic sign  animal  \n",
              "30                 0             0       0  \n",
              "31                 0             0       0  \n",
              "32                 0             0       0  \n",
              "33                 0             0       0  \n",
              "34                 0             0       0  \n",
              "35  vehicle fallback  traffic sign  animal  \n",
              "36                 0             0       0  \n",
              "37                 0             0       0  \n",
              "38                 0             0       0  \n",
              "39                 0             0       0  \n",
              "40                 0             0       0  \n",
              "41  vehicle fallback  traffic sign  animal  \n",
              "42                 0             0       0  \n",
              "43                 0             0       0  \n",
              "44                 0             0       0  \n",
              "45                 0             0       0  \n",
              "46                 0             0       0  \n",
              "47  vehicle fallback  traffic sign  animal  \n",
              "48                 0             0       0  \n",
              "49                 0             0       0  \n",
              "50                 0             0       0  \n",
              "51                 0             0       0  \n",
              "52                 0             0       0  \n",
              "53  vehicle fallback  traffic sign  animal  \n",
              "54                 0             0       0  \n",
              "55                 0             0       0  \n",
              "56                 0             0       0  \n",
              "57                 0             0       0  \n",
              "58                 0             0       0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2be561b1-100a-4957-9174-408eb7fcae72\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>truck</th>\n",
              "      <th>person</th>\n",
              "      <th>autorickshaw</th>\n",
              "      <th>car</th>\n",
              "      <th>motorcycle</th>\n",
              "      <th>rider</th>\n",
              "      <th>bus</th>\n",
              "      <th>bicycle</th>\n",
              "      <th>vehicle fallback</th>\n",
              "      <th>traffic sign</th>\n",
              "      <th>animal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>26</td>\n",
              "      <td>708</td>\n",
              "      <td>999</td>\n",
              "      <td>131</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>293</td>\n",
              "      <td>439</td>\n",
              "      <td>414</td>\n",
              "      <td>468</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>396</td>\n",
              "      <td>754</td>\n",
              "      <td>1132</td>\n",
              "      <td>1277</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>604</td>\n",
              "      <td>480</td>\n",
              "      <td>541</td>\n",
              "      <td>963</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>633</td>\n",
              "      <td>985</td>\n",
              "      <td>686</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>391</td>\n",
              "      <td>448</td>\n",
              "      <td>410</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>660</td>\n",
              "      <td>1030</td>\n",
              "      <td>705</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>42</td>\n",
              "      <td>579</td>\n",
              "      <td>427</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>617</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>385</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>653</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>425</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>92</td>\n",
              "      <td>804</td>\n",
              "      <td>1018</td>\n",
              "      <td>265</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>354</td>\n",
              "      <td>505</td>\n",
              "      <td>473</td>\n",
              "      <td>521</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>456</td>\n",
              "      <td>843</td>\n",
              "      <td>1171</td>\n",
              "      <td>1279</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>653</td>\n",
              "      <td>535</td>\n",
              "      <td>601</td>\n",
              "      <td>962</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>662</td>\n",
              "      <td>0</td>\n",
              "      <td>677</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>379</td>\n",
              "      <td>0</td>\n",
              "      <td>393</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>689</td>\n",
              "      <td>0</td>\n",
              "      <td>696</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>414</td>\n",
              "      <td>0</td>\n",
              "      <td>416</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>633</td>\n",
              "      <td>0</td>\n",
              "      <td>697</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>390</td>\n",
              "      <td>0</td>\n",
              "      <td>404</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>654</td>\n",
              "      <td>0</td>\n",
              "      <td>717</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>424</td>\n",
              "      <td>0</td>\n",
              "      <td>436</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>647</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>370</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>675</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>408</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>619</td>\n",
              "      <td>681</td>\n",
              "      <td>717</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>376</td>\n",
              "      <td>400</td>\n",
              "      <td>398</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>657</td>\n",
              "      <td>691</td>\n",
              "      <td>747</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>434</td>\n",
              "      <td>428</td>\n",
              "      <td>435</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>588</td>\n",
              "      <td>666</td>\n",
              "      <td>713</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>388</td>\n",
              "      <td>413</td>\n",
              "      <td>417</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>644</td>\n",
              "      <td>681</td>\n",
              "      <td>747</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>449</td>\n",
              "      <td>447</td>\n",
              "      <td>461</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>truck</td>\n",
              "      <td>person</td>\n",
              "      <td>autorickshaw</td>\n",
              "      <td>car</td>\n",
              "      <td>motorcycle</td>\n",
              "      <td>rider</td>\n",
              "      <td>bus</td>\n",
              "      <td>bicycle</td>\n",
              "      <td>vehicle fallback</td>\n",
              "      <td>traffic sign</td>\n",
              "      <td>animal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>584</td>\n",
              "      <td>681</td>\n",
              "      <td>735</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>372</td>\n",
              "      <td>423</td>\n",
              "      <td>416</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>671</td>\n",
              "      <td>701</td>\n",
              "      <td>795</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>474</td>\n",
              "      <td>460</td>\n",
              "      <td>416</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2be561b1-100a-4957-9174-408eb7fcae72')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2be561b1-100a-4957-9174-408eb7fcae72 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2be561b1-100a-4957-9174-408eb7fcae72');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M6Z88qIX8GvC",
        "outputId": "f17ff24f-9bd0-4882-8048-9b8f0aa776a3"
      },
      "source": [
        "vals = Label_matrix.values\n",
        "vals"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([['1', '1', '1', '1', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['26', '708', '999', '131', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['293', '439', '414', '468', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['396', '754', '1132', '1277', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['604', '480', '541', '963', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['633', '985', '686', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['391', '448', '410', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['660', '1030', '705', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['42', '579', '427', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['617', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['385', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['653', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['425', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '1', '1', '1', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['92', '804', '1018', '265', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['354', '505', '473', '521', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['456', '843', '1171', '1279', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['653', '535', '601', '962', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '0', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['662', '0', '677', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['379', '0', '393', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['689', '0', '696', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['414', '0', '416', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '0', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['633', '0', '697', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['390', '0', '404', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['654', '0', '717', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['424', '0', '436', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['647', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['370', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['675', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['408', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['619', '681', '717', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['376', '400', '398', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['657', '691', '747', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['434', '428', '435', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['588', '666', '713', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['388', '413', '417', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['644', '681', '747', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['449', '447', '461', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['truck', 'person', 'autorickshaw', 'car', 'motorcycle', 'rider',\n",
              "        'bus', 'bicycle', 'vehicle fallback', 'traffic sign', 'animal'],\n",
              "       ['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['584', '681', '735', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['372', '423', '416', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['671', '701', '795', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
              "       ['474', '460', '416', '0', '0', '0', '0', '0', '0', '0', '0']],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d89e5EjK-M1F"
      },
      "source": [
        "Label_array=[]\n"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WIjyNYDH87ph"
      },
      "source": [
        "matrix_1=[['1', '1', '1', '1', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['26', '708', '999', '131', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['293', '439', '414', '468', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['396', '754', '1132', '1277', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['604', '480', '541', '963', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "Label_array.append(matrix_1)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "viPvfcg09Lxv"
      },
      "source": [
        "matrix_2=[['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['633', '985', '686', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['391', '448', '410', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['660', '1030', '705', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['42', '579', '427', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "Label_array.append(matrix_2)"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gzIlC7rm96nv"
      },
      "source": [
        "matrix_3=[['1', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['617', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['385', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['653', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['425', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "Label_array.append(matrix_3)"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AwS3N8tc-hiI"
      },
      "source": [
        "matrix_4=[['1', '1', '1', '1', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['92', '804', '1018', '265', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['354', '505', '473', '521', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['456', '843', '1171', '1279', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['653', '535', '601', '962', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "Label_array.append(matrix_4)"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OGomR4Mv-k2z"
      },
      "source": [
        "matrix_5=[['1', '0', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['662', '0', '677', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['379', '0', '393', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['689', '0', '696', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['414', '0', '416', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "\n",
        "Label_array.append(matrix_5)\n",
        "\n"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l2y6drCF-42N"
      },
      "source": [
        "matrix_6=[ ['1', '0', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['633', '0', '697', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['390', '0', '404', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['654', '0', '717', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['424', '0', '436', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "\n",
        "Label_array.append(matrix_6)"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B8y7FUIm-4tv"
      },
      "source": [
        "matrix_7=[['1', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['647', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['370', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['675', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['408', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "\n",
        "Label_array.append(matrix_7)"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gsHTk-fA-4k3"
      },
      "source": [
        "matrix_8=[['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['619', '681', '717', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['376', '400', '398', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['657', '691', '747', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['434', '428', '435', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "\n",
        "Label_array.append(matrix_8)"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DLe5pS6S-_X-"
      },
      "source": [
        "matrix_9=[['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['588', '666', '713', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['388', '413', '417', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['644', '681', '747', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['449', '447', '461', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "\n",
        "Label_array.append(matrix_9)"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "axxLIkrR_Bz_"
      },
      "source": [
        "matrix_10=[['1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['584', '681', '735', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['372', '423', '416', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['671', '701', '795', '0', '0', '0', '0', '0', '0', '0', '0'],\n",
        "       ['474', '460', '416', '0', '0', '0', '0', '0', '0', '0', '0']]\n",
        "\n",
        "\n",
        "Label_array.append(matrix_10)"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TkfKHJ4d_uZV",
        "outputId": "4cc758eb-332e-4bfe-cbe1-4ccfd732ce3c"
      },
      "source": [
        "print(len(Label_array))"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y8HR3LxR_wbf",
        "outputId": "7f1b5ab3-5688-43ee-83dc-86c955fee321"
      },
      "source": [
        "Label_array=np.asarray(Label_array)\n",
        "Label_array.shape"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10, 5, 11)"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zWJqjUuv_3SO",
        "outputId": "2afe2733-db85-46f0-8746-288408d88ac3"
      },
      "source": [
        "Image_array=np.asarray(Image_array)\n",
        "Image_array.shape"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10, 256, 256, 1)"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KBNVIuQo_-0C",
        "outputId": "18f2e5eb-5738-4a1b-c332-20ad91b436ff"
      },
      "source": [
        "dataset_10 = tf.data.Dataset.from_tensor_slices((Label_array, Image_array))\n",
        "print(dataset_10)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<TensorSliceDataset element_spec=(TensorSpec(shape=(5, 11), dtype=tf.string, name=None), TensorSpec(shape=(256, 256, 1), dtype=tf.float32, name=None))>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mgy6x8tgAaw-",
        "outputId": "dd98365c-4be7-4ccd-a705-bf790b1bff4f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "len(dataset_10)"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow"
      ],
      "metadata": {
        "id": "Fhc9vEhGsGw3"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import keras\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense, Dropout, Flatten\n",
        "from keras.layers import Conv2D, MaxPooling2D\n",
        "# import tensorflow.keras.utils.to_categorical\n",
        "from keras.preprocessing import image\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from tqdm import tqdm\n",
        "%matplotlib inline"
      ],
      "metadata": {
        "id": "EQeDYO6Tr6Gb"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o2bEIaUtAcOV"
      },
      "source": [
        "model = Sequential()\n",
        "model.add(Conv2D(filters=16, kernel_size=(5, 5), activation=\"relu\", input_shape=(256,256,3)))\n",
        "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
        "model.add(Dropout(0.25))\n",
        "model.add(Conv2D(filters=32, kernel_size=(5, 5), activation='relu'))\n",
        "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
        "model.add(Dropout(0.25))\n",
        "model.add(Conv2D(filters=64, kernel_size=(5, 5), activation=\"relu\"))\n",
        "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
        "model.add(Dropout(0.25))\n",
        "model.add(Conv2D(filters=64, kernel_size=(5, 5), activation='relu'))\n",
        "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
        "model.add(Dropout(0.25))\n",
        "model.add(Flatten())\n",
        "model.add(Dense(128, activation='relu'))\n",
        "model.add(Dropout(0.5))\n",
        "model.add(Dense(64, activation='relu'))\n",
        "model.add(Dropout(0.5))\n",
        "model.add(Dense(11, activation='sigmoid'))"
      ],
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv(\"/content/10 matrices.csv\")"
      ],
      "metadata": {
        "id": "-RCYqTOWs6C8"
      },
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data"
      ],
      "metadata": {
        "id": "q4e2TIAHv-wp",
        "outputId": "2b40795d-f61d-4a3c-f623-4f0ccd66c982",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        }
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   truck  person  autorickshaw  car  motorcycle  rider  bus  bicycle  \\\n",
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              "   vehicle fallback  traffic sign   animal  \n",
              "0                 0              0       0  \n",
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              "4                 0              0       0  \n",
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              "6                 0              0       0  \n",
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          "metadata": {},
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      "outputs": [
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          "data": {
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          "metadata": {},
          "execution_count": 92
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      ],
      "metadata": {
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      "execution_count": 93,
      "outputs": []
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        "id": "Bvu3DUM_yuWC",
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        "colab": {
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      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
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          "metadata": {},
          "execution_count": 94
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        "outputId": "fe7a51a9-8373-468a-ad68-41a4d019af57",
        "colab": {
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      "execution_count": 95,
      "outputs": [
        {
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          "data": {
            "text/plain": [
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          "metadata": {},
          "execution_count": 95
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        "colab": {
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      "execution_count": 96,
      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
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          "metadata": {},
          "execution_count": 96
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        "colab": {
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
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          "execution_count": 97
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      "execution_count": 87,
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              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-32c185b6-e239-4747-8ce6-55a204497183 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-32c185b6-e239-4747-8ce6-55a204497183');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])"
      ],
      "metadata": {
        "id": "zXRjkWJLwV8b"
      },
      "execution_count": 72,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model.fit(X_train, y_train, epochs=10, validation_data=(X_test, y_test))"
      ],
      "metadata": {
        "id": "aE22Rv01wV3p",
        "outputId": "5c769c5c-cd1c-4817-ec39-9105f754130f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "1/1 [==============================] - 10s 10s/step - loss: 40.8795 - accuracy: 0.1429 - val_loss: 2.6326 - val_accuracy: 0.0000e+00\n",
            "Epoch 2/10\n",
            "1/1 [==============================] - 0s 92ms/step - loss: 49.2934 - accuracy: 0.4286 - val_loss: 1.7809 - val_accuracy: 0.0000e+00\n",
            "Epoch 3/10\n",
            "1/1 [==============================] - 0s 84ms/step - loss: 34.7888 - accuracy: 0.1429 - val_loss: 0.4856 - val_accuracy: 1.0000\n",
            "Epoch 4/10\n",
            "1/1 [==============================] - 0s 89ms/step - loss: 15.1832 - accuracy: 0.2857 - val_loss: 0.2799 - val_accuracy: 1.0000\n",
            "Epoch 5/10\n",
            "1/1 [==============================] - 0s 86ms/step - loss: 8.7349 - accuracy: 0.4286 - val_loss: 0.3640 - val_accuracy: 1.0000\n",
            "Epoch 6/10\n",
            "1/1 [==============================] - 0s 82ms/step - loss: 5.9287 - accuracy: 0.4286 - val_loss: 0.4366 - val_accuracy: 1.0000\n",
            "Epoch 7/10\n",
            "1/1 [==============================] - 0s 81ms/step - loss: 2.2272 - accuracy: 0.7143 - val_loss: 0.5072 - val_accuracy: 1.0000\n",
            "Epoch 8/10\n",
            "1/1 [==============================] - 0s 85ms/step - loss: 1.3769 - accuracy: 0.2857 - val_loss: 0.5647 - val_accuracy: 0.3333\n",
            "Epoch 9/10\n",
            "1/1 [==============================] - 0s 82ms/step - loss: 0.8801 - accuracy: 0.2857 - val_loss: 0.5826 - val_accuracy: 0.3333\n",
            "Epoch 10/10\n",
            "1/1 [==============================] - 0s 81ms/step - loss: 0.8015 - accuracy: 0.4286 - val_loss: 0.5681 - val_accuracy: 1.0000\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f2bf6046610>"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Image=tf.io.read_file(\"/content/gdrive/MyDrive/IDD_Detection/JPEGImages/frontFar/BLR-2018-03-22_17-39-26_2_frontFar/0000060.jpg\")\n",
        "im_decoded = tf.io.decode_jpeg(Image) \n",
        "# img=tf.image.rgb_to_grayscale(im_decoded)\n",
        "img = tf.image.central_crop(im_decoded, 0.85)\n",
        "img = tf.image.resize(img, size=(256, 256))\n",
        "img = np.asarray(img)"
      ],
      "metadata": {
        "id": "FFCwDPib0WmP"
      },
      "execution_count": 103,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "classes = np.array(data.columns[:])\n",
        "proba = model.predict(img.reshape(1,256,256,3))\n",
        "top_5 = np.argsort(proba[0])[:-6:-1]\n",
        "for i in range(5):\n",
        "    print(\"{}\".format(classes[top_5[i]])+\" ({:.5})\".format(proba[0][top_5[i]]))\n",
        "plt.imshow(img)"
      ],
      "metadata": {
        "id": "y_xFtDd5wdUl",
        "outputId": "2d087477-49ac-47da-a82d-d0b3e18618ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 396
        }
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "truck (0.7142)\n",
            "car (0.6221)\n",
            "person (0.46084)\n",
            "autorickshaw (0.45296)\n",
            "rider (0.42056)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f2bf69705d0>"
            ]
          },
          "metadata": {},
          "execution_count": 104
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "Ufu4jJRJzcH1"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}