Emotion_Detection.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Atharva-D/Moodify/blob/main/Emotion_Detection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Downloading Dataset**"
      ],
      "metadata": {
        "id": "EKRMS0QP5rIp"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4AH8g3tMhyDF",
        "outputId": "db9557db-e026-41c8-e446-a6f83decc1b0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (1.5.12)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.23.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from kaggle) (4.62.3)\n",
            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.15.0)\n",
            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle) (5.0.2)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle) (2021.10.8)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.8.2)\n",
            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.24.3)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle) (1.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (2.10)\n",
            "Downloading face-expression-recognition-dataset.zip to /content\n",
            " 93% 112M/121M [00:00<00:00, 228MB/s] \n",
            "100% 121M/121M [00:00<00:00, 223MB/s]\n"
          ]
        }
      ],
      "source": [
        "!pip install kaggle\n",
        "! mkdir ~/.kaggle\n",
        "! cp kaggle.json ~/.kaggle/\n",
        "! chmod 600 ~/.kaggle/kaggle.json\n",
        "! kaggle datasets download -d jonathanoheix/face-expression-recognition-dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Unzipping the dataset**"
      ],
      "metadata": {
        "id": "7FFPSFnI_Qvu"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UYy1Inzh7yle",
        "outputId": "acebfc98-5b5d-4c13-9148-da0ceb8a5f40"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
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          ]
        }
      ],
      "source": [
        "\n",
        "!unzip face-expression-recognition-dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Importing necessary libraries**"
      ],
      "metadata": {
        "id": "DBybnKiEP1kj"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "thBLz8Wo9uFJ"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from keras.layers import Flatten, Dense\n",
        "from keras.models import Model\n",
        "from keras.preprocessing.image import ImageDataGenerator , img_to_array, load_img\n",
        "from tensorflow.keras.applications import MobileNetV2\n",
        "from keras.applications.mobilenet import MobileNet, preprocess_input \n",
        "from keras.losses import categorical_crossentropy"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Training Data**"
      ],
      "metadata": {
        "id": "MYrSECB4_nTG"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rskmL3tL91nL",
        "outputId": "44e810e6-73ae-409d-96a6-aaeec7cf2c5d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 28821 images belonging to 7 classes.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'angry': 0,\n",
              " 'disgust': 1,\n",
              " 'fear': 2,\n",
              " 'happy': 3,\n",
              " 'neutral': 4,\n",
              " 'sad': 5,\n",
              " 'surprise': 6}"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "train_datagen = ImageDataGenerator(\n",
        "     zoom_range = 0.2, \n",
        "     shear_range = 0.2, \n",
        "     horizontal_flip=True, \n",
        "     rescale = 1./255\n",
        ")\n",
        "\n",
        "train_data = train_datagen.flow_from_directory(directory= \"/content/images/images/train\", \n",
        "                                               target_size=(224,224), \n",
        "                                               batch_size=32,\n",
        "                                  )\n",
        "\n",
        "\n",
        "train_data.class_indices"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Testing Data**"
      ],
      "metadata": {
        "id": "QW8uws4T_vAs"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zDCQvvQB99gU",
        "outputId": "bf6dd289-5f01-4675-8f70-ea56769ad0fb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 7066 images belonging to 7 classes.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'angry': 0,\n",
              " 'disgust': 1,\n",
              " 'fear': 2,\n",
              " 'happy': 3,\n",
              " 'neutral': 4,\n",
              " 'sad': 5,\n",
              " 'surprise': 6}"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "val_datagen = ImageDataGenerator(rescale = 1./255 )\n",
        "\n",
        "val_data = val_datagen.flow_from_directory(directory= \"/content/images/images/validation\", \n",
        "                                           target_size=(224,224), \n",
        "                                           batch_size=32)\n",
        "val_data.class_indices"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Visualize the images in the training data**"
      ],
      "metadata": {
        "id": "Xbq3poyV7035"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "1ncF6i_5-FiX",
        "outputId": "e911f213-ee23-4fdf-e580-e6141bb6eddd"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Wq2pIdH5vTE5qZKS29VwiiqKYRYehkZTa/WmWAC3UOZOtkgwtipVxG86Kke5icV15bbgO1LRBRNjd3VU7p2TapRLggSNftjEmFiZ8c3Mz0UGNMeqJxvV6HbVabXpdq9ViB6GyLFIJcLr9PJm1t+97OByi2+2q+yCkq7M28LQ0zm/Xtbe3l3hvmrVCtuNS1Nog0whL7XDZ4XCYGMhy34c2ODnmQxZcfTJro1Vafa6+Ok+shBLwYZhdv2umEs3c5gNX+bQ2feqzr9MY77T0tGekpRftKHnZbrucxtbnsQ5k5ZMzMvlb1j37vg+XidoXs5jvfPqzzLt0E2FAQMDxxkrMBAICVhXSdyErr69Tm1zu2FP/ok5xvr9JrIQS8HGh9FkbudZQEtqa1HcK5yKdGo3GdB3KcvR6PRwcHMTqHQwG0/LGmOlRZeVyOdbu1tZWjANoNBoJuYgI+/v7qFarsaljo9GIuRhrS4lut4srV64kjjbr9Xoxr8GtrS3cfPPNifJacFT5HtkBS3IC8j3xtfSk1N6DRrKxk5Q9iOTxbMwnaJyAdAuXfaNcLmMwGCR4hsFgELu/crmc4G2AMb9jv3Nux0aeoKzSq3PW5cBKKIEszHqTcu3Eg86VJ20NphGDXEYGB+12u7FBNhwO0ev1EtYBjcjq9/uxMwo1t2EAODg4SAQf2djYiD2zcrmcCGve7/exu7sbU1LAOMqRTZRFUYRTp055RQiSh6ZyZ9W+bD5KV1PqLo9QO7/LbVjWx96jkhjU+I7BYJC4Xxk0BkAiOhXLl8UxGJM871DyLIvCsVACachDwmgzh7xtaNeadl8Hx500Eqvo/cvy6/ZMl4FADAYErDmCEggIWHOszHKg6FTPxbzOSxYf0lLLl7bOleSPll8yzbZnm11WpvOaWHovSoLO3rHocx95n7O2trbvtyh8mHbtvrRnBejOQnILsx13QkLjGVweflpZVz3270X6sy9JDqyQErCR16HGp5xdlokyWe9gMFBfhOwQ0kOPSbZOpxOTxRgTC1TSarXQbrcT0Yb39/cT7XY6nZjFoFqt4vLly7H6pRutMWO313a7jZMnT07L1uv1abucdnh4iIsXLyZkbjQaMe+4drvtdJ6RDL90MR4MBuoz1SwGmquz5ul5eHiYqO/KlSu4du3xkBWlUikWbZnbPDw8jBGGo9EI169fjz3XU6dO4fz587H+0Wg0UKvVEnXKwC97e3t44IEHYvIC4+cv3Zrr9To2NjamaeyaLPsah4u3oUWEnsVhbGWUgP3FcWlcH4ZVA5uQbKa91WrFXsxoNMKVK1cSdcgvRRRFOHHiRCzP/v4+dnZ2cOnSpZi8p0+fjp0VsL29jdOnT8cG2cHBAe65555EtKJOpxPrsFEUodVqZd4vEaHVasVkbLVaOHXqVIx97vV6uHr1aqLdm2++GRsbG9Nn0+12vWYBzG7zQOFBLL/I2j4Lltt+x9q5fhyZSaZfvXoVFy5cmF5XKhWcOXMmlmc4HOLatWuxyEfD4RCXLl3CI488Mk07f/48ms1m7Fm7lJl9sC0w7ge7u7vyUaHX6yX2RQyHw5jCZLdpu0+yJUrbzyK9M2eZYQVOICBgzRGUQEDAmiMogYCANcfMnAARPQhgD8AQwMAYcxsRbQN4P4BbMA4s8jKjBBtdNnzXutJxRWO8NQJRc491WQfmJS+QtCSwa6ydl73dfM/Jk9Bcr7U0bT+85hKsPReZj9fSGs8gGXrXO9KgRbHWjlhz3S/Xy1uO5b3JOAaS0LXl8yX8siwLeTAvYvCbjDFXrOs7AXzUGPNmIrpzcv0jPhXNekOuOrX969IbzWXe4QHFskn/8NFohM3NzcSBpNVqNdaZ+JxA6V4sD0fl8jaMMaorrOtZ2emHh4eJgCkcVERj4G0yiuMpSPlarVaM4GTG22bQh8Oh+tx7vV7i7EapuDQzX7/fx87OTkJmjUSV+/+ZZNNiQdgWkm63i6Ojo1j50WiERqMRY/OBseWEyT0iwtHRUYKQBJAIC89mSLsflEqlRIh1l8zSOuDqA76BRhZlHbgdwAsmf78bwB/CUwksAlrYbO0EYi0EN28SAR5XAjbjz53/pptuipmVjBlH87E7e7VaxYkTJ2JKJIqihHmMZZbyaecdaJAbl1hO2cFkNB+u006vVqtqvo2NjUSAD3vjElsHtEHX7XZjz4WflTTfabOFvb29hAKRwVFGo5GqBOQhtNyGrbz5ncn6qtVqQvlz4Bd+ro1GA5ubm5BotVqx5+Cy6mj+Ca7Nbvb79NmbkIZ5cAIGwO8R0adofJYAAJw148NJAOBLAM7KQkR0BxF9kog+ObnOnBq7HFB8MUvZecoRELBKmMdM4HnGmAtE9CQAdxPRX9k/GmMMESXUkjHmLgB3AYD2e0BAwI3BzErAGHNh8v8lIvoQxucMXCSim40xj9I4BPml1ErgN33xJcay1skuV1gXicXTMZ6yyenocDhUeQe5P7xUKiX2r/NyQyO3suDiT1zEnsstNQvannZZH8sin61Gjmoeb5Io49Oa5PFiGlfASxuGfO6cR3p68vLMXsefPHkSzWYzlpe3ccslkcZr2EtChub1BySfn3wGvIRx8UUuotrVhgszKQEiagEomfFZhC0A3wLgTQA+DOCVAN48+f83Z2lHgw8hxpCkU6lUUn3LT58+rXYeWwk0m01cuXIllofXvtKTUK7nqtUqrl+/Hkvb399Hp9OJebKxzNKNVoNr7SzLStKTXYy1ACkaOZV1fBfLItf6rojBEpI8e+yxx3D9+vVYfcwbSIKUBzNDC9wKjD02bcvBaDRCq9WKcTxbW1s4c+ZMjO/Y3NxEq9VKDPButxtz+SaiWF0MLVKx5nbtspBozz7tOitdYtaZwFkAH5oIXgbwq8aY3yGiTwD4ABG9GsBDAF6Wp1Lt6wFk31QWS2q7pGrn3LES0LSxLYvtp85p1Wo18aWREYM7nQ729vZiCujg4ADdbjdB+tlHibncQl3pclaifT05n6YE7P81Qk2DVDT8vyuMtkS9Xo+x4zs7O4kBz6SdvBcmV7msRmRyG5IYlCw9WwFsJcJRo7TIQrbyrlQq6qG2cibgskQBesQhmTZLeHENMykBY8wDAL5GSX8MwAsL1glg9t1mAQEBfggegwEBa46gBAIC1hwrs5X4RiCLUBmNRqqrapbbsMbi8nrbJhW5bs1N1YfcyeMA4mtdkJCusEDcGcVe86e5WNvXWpomr3zuMnBpuVxWmX8fCxE/f3ttzvv17ftrNps4ceJEbP3PXp6SZ5CEn+2paMso+SfuU9LzUcOspJ8PVk4JuLgArfNopjCXdUB2ZG0/++XLlxN1bm5uxtxFNStAuVxGu91OBCqp1Wox0unChQu4fPlyzEPt8PBQZfg1t2YXNAZe86XXTHVaeG2bWCOiRIRkwO0SLBWcNKOldWq7LJv07MHIz1m+O3b1TWuHaBz0RDL8zWYT29vb0+uNjY1Y7AUu1263Ex6Stregdg922xIuslYijwm8KFZOCbjgGuA++bQNJ5oS0AJCVKvVqRJgk5eMMFMul7G5uZk4GLRWq8Xs15cuXcJgMIhZAo6OjrxetOves/YcuH5jy4O2KUZaA1wBPtJkdM1wOC3L2qFZLtilWcqshfnWoJlE+UBYRqvVQqvViqWxZUAra3/lpQ8Iy+y6T18lv2isjBIo6vCgPcis6aKWz9biWS9Hm4FoA0qm+Soyu22fMsGSEjALAjEYELDmCEogIGDNsTLLgQA3spYEmndlVr60trTlVBZvoXl1uvZoaGnangPNjVaDFtxDuy/N8iEtDpVKJbH+l4Fq0+5Zy6O5qMulosta4PPO0qxLPlgZJVDUpJXn9yxobG2328XOzs70Wos6y3yCjH1/+fLlKdlojMHDDz+Mhx56KEYMMsGW5Zbre29ppJusT5JiwNjs1Ww2px2UDzvVzieQ15L0dMnnIgzlKb3VanVqXbAHuCzLLscMjQDkkN52FGGi5OGtzWYT7XY7ZpVg12KNqJTPRduzoPUZjXyV+bh+WVYqJN8IUS6sjBJYJHwJOS04Q7/fn/qHs7nIBbuN0WiEvb09XLx4cZp29epV7O7uTs1ZNkvsM3B9IRVBmmUhy+chbe+C1q4PkZpW1vW1ddWjfVW15+nKx/sOGFogD9c7cj1X+ex97j/PByyva31WvmOlBIretO+LyMqbd1DKQcFaXbPhF5F5HmYlVxurYnFwDfyA+SEQgwEBa45jNRM4jshyrV3UV23Rzif2fWTNWlwzIpnH/p/jGEgPxHq9niDQZExAGWQEeJzc05yebK9GeeIU19fv91WCT15nxQO070WeIek763EtH13I6gsrpwR8WXAg3cU4C2lrcLu87BQHBwe4//77E/k1YvDatWsxL8Rer+f0EFw0fN2GJYOuMepAMqoOkPSRNyYZIZm9NbXoQHZ5DhRiyzwYDHD+/PlE2YODAxweHsbqkkFBNT6HyUwZ0EXbY8D3J+9Xe1YSPmRhGh+yaGexwkqAiP4uxmcLMJ4O4McBbAH4HgB8yuMbjDEfKSxhCvKs9bPgIsDkV2wwGCQi+Q6Hw0QYbT5o1M6b5Wq7CvAlsXzMfvOWx/VV1UyJaQSjjUW8j6wv+qwesPNGYSVgjPkCgFsBgIgiABcAfAjAdwH4WWPMW+Yi4QLhmg3M66HP0qEW4Veeh2TzHUSucqum3ALcmBcx+EIA9xtjHppTfQEBATcI81ICLwfwXuv6tUT0GSJ6FxElIy8GPKEg17YuMnQVZgfLkkVr11cWO5/2L28+iZmVABFVAfwzAL82SXo7gGdgvFR4FMBbHeVih4+sClxLhLSH7UqT6Wko8vIWiTz3vCjYHAD/Y087+Y9JOS1Ed5427ACvaWk2sSrzybrzyOKLefaTeVgHXgzg08aYixPhpi5yRPQOAL+lFTJzOHwkj0lFXvuaXkajUSJghRYeXB45BiBhVuJOLOFy+VwkIeSqXxv8midlp9NJRGEGkDhnUTvr0M7P0MKzywAgo9EI586dS3T43d1d7O/vx/LZ5wtq7dnt2lYDblfuHdDchmVUY81ECOiWAG3QuoK0aGZNGy63YVuuNMxDCbwC1lKAJoeOTC5fCuDeObTBdWempTHDWWSXlo/NSPy31rFZCWRFitHYbR5kaWVmRVodPl6JGlmqKQa7wxY1a9nvQHuX5XI5Ubfth+/LqNv3NMuHw5XXbmfVMY/DR74ZwPdayT9DRLcCMBgfS/69StGAgKVi0Wa344RZzx04AHBKpH3HTBIFBATcUKycx2BAwCpBruXzlslbNg+yHJ18fTZWRgkUeUizMq++Dy3vdRby5F/0mtLVYX3Nfgz2IpScgOtZZZkRmSSTcmjvUbr5apGQWUYNcn+CDERLRCoH4gsfIlB7Lq6DYGW+WbEySqAofIlBHzLOxezayMt4+xBUvr/diHWsDG7B5wFmEYNEFAsqkkYQas+53+8nBoCWT573yBYXO1hIv993vkuNWbetPczI2+VZwcg9ADIwiE0i25CkMdE4oIst82g0SuyzGA6H0382ZP/VLAiczwcrqwSKMrZpYaD4fy2ENpAczDzg+YHz7y4F4tqMw3C9rFkH9yxfKAl5RgN/FX1OxrW/oFkdUDOH8RHvXF778svju4H4UeRcRtss5Hr+9vtkJSjNgUX3faT1M59w8Ys2FQMhnkBAwNpjZWcCAQHLRJ7pdRHyME8bPu3mbdvGsVICkojS0lwPwv5NW69qv2vt+r4QTtPOHVwk0ur3IUdZRpabp8HaKU6+JzvJ67TprS2PRsa5SEq7fj5jUMvjc/6f9MAzxqDX6yXKynMR0zxR5fJCW15phKzrOa8FJ5AF102neQza+bSOpJE6WR59WXX6eo8tw3lFk5nXxNxJB4NB7JqhRdCVHEipVEpEMwb0QSEVuK8XpUbKVioVnDoVc1/BaDTC4eFh7B3zO7cJudFohG63G5OFIxxr0YbtslEUJZQPMHZFzlr/a5yFixjUlJSGY6cEigwC35vUCD8tz7ymV2l12nL44EYrB+6MkqCT9yEZdE7TQpP77vHwUZppMz0bGrEnw5XLe7XzymtXPu1Z+ZLaPijaB/OUC8RgQMCaIyiBgIA1x8osB6SPfgQAACAASURBVAICAmZDUXLwWCgB3/WNa80v02clUoqu53y3ouZpoyhmfRa+a9y81oGsNn0sLJqViIhQq9USTkQymjR7PUoOQCOOu91ujD+Iokgll+v1ukqESkeyXq+XIAbZY9OGyxpQFMdCCfgiLxHn2xmlGUhzSZ3FROPT7jzqk0gjSLOUhPYc5kmIufL6PGfN+gCMz1nMijrU6/VwcHAQY+TZsiBZ+k6ng263O5UziqJEABoAqgeilJFjUkji8ujoyOug0lk+JE8oJeDCLAy9yzVZ1j/vAWu7OmtmsEXB15chzxe9yGwgbeNMkefASks7A8B+n8PhMOGarH3dgce/yDJv1j4LlsdOc/kD5HEocvXBrOcViMGAgDWHlxKgcdTgS0R0r5W2TUR3E9HfTP4/OUknIvp5IvoijSMOP2tRwgcEBMwO35nALwJ4kUi7E8BHjTHPBPDRyTUwDjz6zMm/OzCOPhwQELCi8OIEjDF/TES3iOTbAbxg8ve7AfwhgB+ZpP+SGS9IPkZEWxQPProymKc3Vh6WfZ5bf33rS1tjZ6W7CDpf7kBea9uu5Ro5D8mrcQza4aFanVEUxXiCWq0GY+IxI/hvLbZElhzAOL6BtqdCBhXRohL7bGHmdouSsLMQg2etgf0lAGcnf58D8LCV75FJWkwJENEdGM8UlgJXmG8f+GxCyQONyZ63JUDCdxMPoMdo0PZU+AxajgIkCTrZkdk/3ocFl0pFDmI7Xbs322zI8klTHRE5Q8pnvStZju9ByuwTXtyFpVsHjDGGcp4dYOZw7sCisIzNPIs2B2ptaPCdbeSRz9d0aCsB+X9WWf6/yHPLMgEbYxIhzIDHg9O4/FNc0Myv89i7UtQUPosSuMjTfCK6GcClSfoFAE+28p2fpBXGvAflor+yAQHHCbOYCD8M4JWTv18J4Det9O+cWAmeA2BnFfmAgPkgKNTjD6+ZABG9F2MS8DQRPQLgJwC8GcAHiOjVAB4C8LJJ9o8AeAmALwLoYHxUeSaKkExPFBSNVwAs7plkvQ/7DD5XOW1tHkWRGnyE1/VcnvNIglIGGgXGbrl23AL2vtOIRhlFeDAYxLz8mCOwy7pkJqJY2TQuQkvT3IElfElf7V1EUeRV3tc68ArHTy9U8hoAr/Gpd1nI4+22aLg6jiTjZlECee+1iMcgX9tlOYKuvA8tSIkEB9OQSkALNNpoNBKRe7XzIrWgIuyfz6hUKokgIKwE5CDl6MW24nIpdG297xN1yidiNeAmTH2wFm7DLsjOWaTcomC7fK6abLO0lXYv0vXVl6TUiMGi5rK0NrKIt7SZUdG+lgdFicHgNhwQsOYISiAgYM0RlEBAwJrjWHECvmupebrlulxms9pNkzWPfPNcP/o4o0hHFhlfIA3S0UZzomFCTHrRSSZbI9iMMeh0OmrbtoxMIErZarWaupVY3pskJI0ZRxqWRJuMpCyJQm6XPQttaNYGzp8XmiMTy23/78KxUgKLhksJZPmlc76isE1jeeDbplZ3GostA2r4uq5KF1ytbbYYyDrZRJjlzvzYY48l0nu9Hg4PD6dlK5UKzpw5k8hXLpcT8vT7/en5idyGDOlNRKq5rVarxd5dqVRKnKkI6CHCNbdrF5uvEZ5S0fgGutEQlIAH8rqFztLGrHmWjXk/q3lZcNJYet/n6su+L8IS4GPtKNpu4AQCAtYcQQkEBKw5wnLgBiBtPSfz2Jhl+p93R1vR8i4U3dFX9FnZ6WlE5izPxbfOWZ6dXOsXLZsHa60EZh0oPvl8yq7SJpyiHZrJKZuldpFfLouLJONcZJess9vtxsjMarWKjY2NRNlKpZKQT7MkaAFJOKaAzGcrHE02Lq9d+7r1+kB6W+bBWioBV8d2mVnkppOirLz2ombdGKSx1hqjr9Wn5ZMHkhpj1IErA3kQEarVasyHn/cJ+EAevMmBR6TZUGPf9/f3Yxt56vV6YmCXSiVsbW2h0WjE0qMoipn6jo6OEgeSAlD3LEjW33UWI7dvp2n9wCdIi415EZDHSgksmh23fcABd6AHLeiERNrUMc99+Eyr5+2fIG3kWllNGdppeZj3VZoJrSMCMRjgjTBYn5g4VjOBVcGiyLSsOmX9s9jk077QcouwT5k89QPzf1byObn29UvewTWbkQSda7Yn283TN/LM8HzS89bPyFQCRPQuAP8UwCVjzN+fpP0XAN8K4AjA/QC+yxhznYhuAXAfgC9Min/MGPN9XpLcYLgGFP+2qD34Pmlp6bLN0WiU8DjU5Neutai/nMbpeRxp5PpaWzqxu2ze9W8aZEwAIsLu7m4sTxRFqNVqCZmr1WqMP+BTiqSHn3QlBpJRhDlasLaELKoEyuWy+i7k37MslX1mAr8I4L8D+CUr7W4ArzfGDIjopwG8HuNw4wBwvzHm1sISLQku04zGUrvcaDXyTFuv+7p8+nxlJKHG7Wokp8xTLpcTBFqlUkGlUpnKpBFi3OnkPvpqtYp2ux2TV0bPGQwG6HQ66gxH23cgoaUPh8MYMTgcDnHlypVYnnK5rCoBIkqQmZVKJSYf1y+fs6YENOXma3FxKWrpiu3K79OGhkwlYJQzB4wxv2ddfgzAv/Ru0YFVdomd57TbNctwublmtetbn698rvRZ2ghYbcyDGPxuAL9tXT+NiP6CiP6IiL7BVYiI7iCiTxLRJ+cgQ0BAQEHMRAwS0Y8CGAB4zyTpUQBPMcY8RkRfB+A3iOirjDG7sqxZ4XMHAgLWCYWVABG9CmPC8IVmMl81xvQA9CZ/f4qI7gfw5QDC1/4YYRZnKN/176LNjS7ZpHVApnE+jY/xJfxszLpkmmXdPzfrgAYiehGAfwfgG40xHSv9DICrxpghET0d40NJHyjSxjKgEXfatQYXQ+v7InycfPLUnxUDwFWuUqlM98kDUINwcP3Sk1LuzWcPP7s9LZS4Bpf5TosJIAlFjZAcjUbodDoqwy5JVM0zsN/vJ7wftTgBPoPe1204Lb6Ci8hOy+eCj4lQO3Pg9QBqAO6eCMCmwOcDeBMR9QGMAHyfMeZqphQrAleklyyPPGZx502UyQ6rMf4uRjrrvESXkqjVamg2m9O2JKNutys74tHRUSzyj60EbNlcZwz6mL00JaC5Tst2h8NhwiqhKYEoimLWEb5X7VBReR++3qSAnwVHWmHsdrU2ZD+d20zA6GcOvNOR94MAPujV8jFElitslrJIK5uVTzMl5nHN9W1H8xPwmYHIKXPRKXRRq0TRZ7DoZclxQHAbDghYcwQlEBCw5gh7BwLWChon4OvSm5WWZx0+KzROpYhrMrDGSiDPGtLnQUpTk6vcLOv3LLLPBY1gIkoexgmMSTDJ3tv+6zbk/Un3XS1Pr9fDlStXsL+/H0vf2NhAo9GYyliv19FsNhPPS4b5BoATJ07ECMzhcIidnZ1YHiYubbmYzLUtILz/wW7XFSHZl+/Qnp32PmQ+Fx8j4xak5QtKwAHXQ/N54ID+UjUl4KrfRxHkIdSy6tPCeRNRYuMNMFYCg8EgxlxLttwlo7aRRz7rfr+Py5cv4/Lly7GyT3rSk7C1tRX7Oler1QSDLgco358dLKTX6yU2ELHSs2Vmht4+vJQ3D0mS12XW9GHkffqaSwlo8G1noX4CTxRksfy+g+5GTgM1+NqmpRLwde5xKc0saHZzY8zU5GaDZyA8EFxfMU0WGbXH11zrmj5LuYvs3ZAy+6bPy8ycpz8GYjAgYM2x1jOBgCcetBmPDUkMumZxeb6kkhx0yTVLG1l1acuLsBzIgO8U3idPqVRKrFWJxvvrZRBLSTC51ps+6zvbFVeWlVNkLVquVufBwQGuXbs2Ld9oNFSuo9VqxQg1IkK73cbJkydj9R8dHSUGyfnz57G5uZmor1arTWVsNBoJQpJovPdf3kcURTHuoNfrJQjK0WiEw8PD2DJERgsG3OSrzyB2HdnmcvKS/IQv5PvV+ASWJxCDDrgeTNE9Aswoywg1rVYLzWZzmnZwcID9/f1CZ/0RkZrP95xA2dldnU6e6ycHMUMe7klEaDQasftl33q7fK1Ww8bGRoLwk+HAXcFMtPRqtRoLvFEqlVCv12N5RqNRbF+DC0zw+nguzhO++w4Y9pdeI5zzzDLWUgloyPPQXNMxTTvbHVt7WT6k240mHe0OmcfF106z6/Bhwl115iHPtIExTxRl32dpY1550xCIwYCANUdQAgEBa46wHAgIWCHMa4mRZvmQWEsl4Fpnus6Rs/OzJcBGpVJJHHGlEYNRFE2P+WKMRqOEJxsQJ/JYBi3AB5NvWaSQRqadPn16Kh//ftNNN2F7e3u6Zt/e3ka73U6s4TXmXkYvHg6HiKIo4YKsxSiQDL8WIwAYE5VZPEEURTh//nzs9+FwiGq1ioODg1h6qVRKBEeRz9PXWSqN69CsP1owFM0DMWsgp1kHfIjjoucOvBHA9wBg3883GGM+Mvnt9QBeDWAI4PuNMb+bKcUNhuulygfOD9feWx9FUeI8u3q9jptuuilm9iIiNJvNhGKQ5qvhcIher5cwTUk3ZFfoac2nXUb9YXlsVKtVnDx5EidOnIilnzp1Ctvb29P8J06ciPn02/LIgaIFytDKVSqVhMxRFMU6ssvrL+1gULusPJB0OBxib28vER3Id6D4egbmsc/7YJa65ukn8ItInjsAAD9rjHmLnUBEXwng5QC+CsCXAfh9IvpyY0yxnS8Lhvb19HXEyKqPO4Qvu60xz1ntajKnzQK0+nxdWvPeh7ZbL6usb7sa5PPyqX/WwVr0fbjKz9p+0XvLJAaNMX8MwDdE2O0A3meM6Rlj/hbAFwE821uagICAG45ZrAOvJaLPENG7iIjdxM4BeNjK88gkLQEK5w4EBKwEiiqBtwN4BoBbMT5r4K15KzDG3GWMuc0Yc1tBGWaGL/Ei89jlXOmzpKV5NPrKPG9obafdxyLg41SlyeZa6uWdjss68/SDeSON08orSyHrgDHmoiXMOwD81uTyAoAnW1nPT9JWCq4H4uoUdsdKyyN90A8ODmLRd3d3d9HpdBL+69oBnVIeV7scfddei8u9CMy823XUajXUarWEe22r1YpZA2q1mvq8ZFAQJk3t+owxCetAFEWJAz853eYo+KxE2UZaCHQ7nybzxsZG4sDUbrebsBi4BlgWXIPNFVREXkuOxsX6a5YkSXgCeiRqDUXPHbjZGPPo5PKlAO6d/P1hAL9KRG/DmBh8JoA/L9LGIuF6WdzB5IDSmHsbPJDlnoBr165hb29vmra/v4+9vb3EBiIN7COf9bWqVquJzUJyr365XE7kazabaLVascM4gbE1YGtra8ry8wYiSTrt7++rZi9bCbCZVHZs19kB9v1y6G95/5rpUJr1XAq10WjE5OMy9p6CtMGe9+Nh/+5rYvQljW1oG9DYuuSjvIqeO/ACIroVgAHwIIDvnTT8OSL6AIDPY3w82WtW1TIQEBAwxlzPHZjk/ykAPzWLUAEBATcOa+kxmAUfolBeSwcdXnJoU3+tfFZb2jo3j61dW29q009eh9q+BZp88t40/wAXfOXzKaulazKnTeVlWdc6Wnv+s9r6fdpwPf805JFrLZWA6wG59pFL906NhLl69WqMBDTGoNPp4PDwcJp2dHSkRqz1ecly0DFc5Jktc6VSQaPRiKW1221sbGwkPOs4jfNKt1rG4eFhwt221WpN16c8QLTIvUwY2tA8ELV3oUUbli7HQPIYMm7DfgZRFCUiGh8dHaHX66mBX7LgIvJc63yZrgWH0cpr/cXVxlw4gRuFNM01b1OL9uVxvWiNpZbBKbrdboItd5lmtHa1+2OF5PMiNfLMlrlarcbOFwQeH+yaEmi329O8WlhyZtWlEjg6OoqlsRz2wGAffpd7sT2j0J6dFlSEXY75WRljEjJzPrtdY0zCFZuI1MNM05ClvHzKaUizRmXV5TKLaghbiQMC1hxBCQQErDmCEggIWHOsDCdwo91g87Rp50tbo2cRfHkYdB8ZXeSZTOctvnKrriTKXHW6OAvNS08SapospVLJm9zK87ttfdFINuZZ7LblfWjr8DQnnlmsAz7PwLevadfHjhi80cijAKQvts+L14gtF1mTZq2w82hkmgzkwWk24VWv19FqtbyIwVqtFvPU0zwmgTH7bltJ2PPOJk2ZVNVOCNK83nzO13O50UpvTc2Co707mXc0GnmFCF8mXB6rGnz66loqgbwvs8jL99m4wdACaHBZ+RW1wQNei3Rku8c2Gg202+2Ysmi321MzoQ0OJc5tScafZZPpbB2wWXkOI66FF5f1aUrF9zgx+SV3DQpWQPa1a/ai5Utrl/O5MG9/AgnXTMAHT0gl4DttzEoLCFgHBGIwIGDNEZRAQMCa4wm5HFg0im4p1cq7LAZaXb57B2Ree+3L6fx3VhwDO69M06L0ynZnPdKriAWH5ZNtavfry9v4Mu2+8vm24XpW2vvN0z9sBCUwgcvvWz7stPLy2kX25dnckgaXicnu7MYY9Ho97O7uJkyEnU4nEVSEyTPOy1F6ZVs7OzsxIq9UKmFzc3Oaxnsser1eot1yuaxaOqRLr0bu+RKFmnXAh2jM66rrM7h9369r81BWvjSX92AidMD18tLi+tvQvp5ZvvBcTvsSzfK19DEvDgaD2CGjwNgKwKckS9hKYDQaodvtJp5Xt9tNsPn24aXcMfv9fuzZcN1ywEslrAXKyLpnrkvef1ZZuZfDJ5+dN63uWWcPRc3RLE8wEQr4OusUceqxy9nXizYNae0uus5gSXliIZMYpHE04UtEdK+V9n4iumfy70EiumeSfgsRHVq//cIihQ8ICJgdhQ4fMcb8a/6biN4KYMfKf78x5tZ5CThPFCWZipabB6SLqw3e6y/Xv3J6yFNvexk0GAxi3oCczg4/vJ7s9/vqdLNSqSTW+ranIc+CtOWPy5En7R4Y2lpfwhW4VYOcraVxNj5uvtoMyhXrz3dGqsGW0yXf3JYDxpg/JqJbHEISgJcB+IeZLa0QXA9fWx/LTsFeeloeV1AI+9p1Vp2E1onlAGDyTfMkzAoqUiqVsLOzk7iXRx99FJ1OZ5q32+2qnfjMmTOJNre2tmJEY7lcjhGDvMbt9XqJZ1OpVGKyaINxNBphd3c3cy2eh1S0n5VrDe5SSD6BUFhuWV5TVD48BMujeUlKSJ7KhVk5gW8AcNEY8zdW2tOI6C8A7AL4MWPMn2gFiegOAHfM2P7c4HqQQHFtr3Uq3wMrfWcjWhua26tk5AeDwXQ2YOPo6AjdbjfmNqy1LWcCRKTODlwmOSlzFEUxgtR1v1mEYdrXNe0Zyr/z8CxpikCrL03Z+CqCPMgqP6sSeAWA91rXjwJ4ijHmMSL6OgC/QURfZYzZlQWNMXcBuGsi5LFimub5Ulydztc0GRAwKwp7DBJRGcC3AXg/p5nxGYSPTf7+FID7AXz5rEIGBAQsDrO4Df8jAH9ljHmEE4joDBFFk7+fjvHhIw/MJmJAQMAiUejwEWPMOzE+gvy9IvvzAbyJiPoARgC+zxjje6JxQEFI4jJPOcllsMWA1/IurkO2y3ntNTsRxeriNS//s8v7ROn1Zfzz5NXIvLzLPbmk87F0+PATaWXt+0u713lZB7TDR2CMeZWS9kEAH8xsdcEoYnrhDutTd1F3Vo189PGKSyPLtA6iWQvkvv6joyM89NBDuHjxYizvpUuX0Gg0pm22221sb2+rBKds5/r167H7K5fL2N/fV0lAWbZarcbiDFQqlUS4cr6XLM+90WgUC/Vul5XQQrZrrHoW6chyaHnSFGkRSLNwHu9IDWvlMWjDpQiKvJw8ZfJ0hnl6AmpfVTb/2ajVahgOh9P85XIZw+EwMWg1V+fRaBQzs7KfgVRomqKSZxGyZUFTaEXh64brgg+jr11rZWR9iyR/F20dONbwYelnrW9W2Ipp0aYiDbMouEUhayYQkA8hnkBAwJpjrWcCAccXWfyIy6tQI1HnNdNaFPI4ihXBWiuBotPIGzn9nGdbvv75rrx52uBljG/9edp1kW/27z7em7IuO4/v/Wa5DftyTy4+KmugpymwQAymwIeRT8uvvUCN8fY197gGi/xqaay15r8eRVGMaY+iCIPBIHF/2nl9165dw+7u7rRTDofDxKGdABJRigGg0+nEzmQcjUZ44IEHvAY2RyZmNBoNNJvNhBvymTNnVE5Amjn39/cTJshWqxWLzExEaDabsXvhsw6l27UGaSFx9R9tgLsC2GQpOL72CUd/o/YO3FBkaba8JJZLa9tfA+3roLUjDy51vUzfoCKaWUnrOJrykWHINUXDskh5eHMPy9Ptdqe7CqXckggdDodTxcLXroNaJVgJcJ1HR0cYDAaJgCT2icl2nVIOeWhsqVRCrVaL1Uek73L0hewvMt2uL+tLPW9i2iedEYjBgLVDsCbEcaxmAgHHEz5LHVdeXx6jyBfcV74sZHkMzoJZ65qLx+ATGT4dUdrptZdiu8Jq9cl8eQi6tPoA3XNPegdqnoq87nU57ch2pXwcP9DGYDCIpUnPtqzllM863Gf6PmuE46KYha1Pc1Tz4aS0IKq+sSvWWgnYSCMLNY83G5VKBSdOnECj0Zim8fq11WpN0zTf+qOjIzz88MOJgCEykGcURajVarE8pVIJZ8+ejQXyKJVKaDQa2NzcnKZ1Oh1cvXo1Vl+z2cS5c+di8mntNptN1S31E5/4RGKA93o9dDqd2P1KRVEqlVCv1xNHkZ05cwZbW1vTaybtZPDRxx57LCGLfEdRFKHZbCZ+l+cichnph+/rqajNAPJYFbIGrYu3kcpGRnWS9a2Vx6CvFs47xZJfcM0Xns/7Y5RKJWxvb2N7e3uaxoE8bBweHuLSpUuJ6Db9fj8R11+yvaVSCc1mM9YuEaHdbscGVBRFODg4iJXnQ0oly89tM8rlskoC7uzsJFyEu93u1Gefn5XcZ8HBQ6RC47MI7SjHGjQrh5yJSXZfy8NpEml9Y94elzfKbTgLgRj0wI10IllVh5WAJy6CEggIWHM8oZYDAQHHCXm9MItgLtYBInoyxuHGzwIwAO4yxvwcEW1jHFrsFgAPAniZMeYajVv9OQAvAdAB8CpjzKez2nH5eq8CfF6Ci0C0OQBmz+36+NrnjDwXEy65A8k9GGMS++aZH5Dtcjq3ZXMVWfdbLpdja31N3nK5jFarNc3HdbTbbbRarel1s9lEvV5POPdop0RJhynmaKS80iuR78F+BvL+7XxFLQ6zuPT6Wo5mkc9nJjAA8IPGmE8T0QaATxHR3QBeBeCjxpg3E9GdAO4E8CMAXoxxWLFnAvh6AG+f/L8yyONZpQ1QjaCTXnpMsNkhspk4s+vr9/sJRh5IRtV12bIPDw8THVaWJSKcPHkyVpYHk/SsazabMaZ5MBioEYe1wdhsNmPPgC0VthyVSgUnT55MsPfb29vY2NiYtttqtdButxODVj5jYGydkW7S0urBz0o7o0Eep6Yx7dKyALjPE7DB9Um4zkuUskklDyTNqWwSXpgSMMY8inEUYRhj9ojoPgDnANyOcdgxAHg3gD/EWAncDuCXzPjpfIyItojo5kk9c8ci3Sz5JUg/be1hl8vl2Ms2ZhxQw2bQ9/f3sb+/nzgnsN/vF3Jf5TbkF1l+MdkSIAcUu9jaqFQqsb0Ch4eHCUVhjEmcJwiMA5LYloooitBut2PyVatVbG9vx/IBwIkTJ2J5WWY58Gq1WuL5c1QiTmeriQ1tMLkGmcsXRFMCPpB9pogjkqteVxuufBpyEYNEdAuArwXwcQBnrYH9JYyXC8BYQTxsFXtkkibruoOIPklEn8wjQ0BAwHzhrQSIqI1x/MDXGXGOwOSrn4u9MMbcZYy5zRhzW55yAQEB84WXEiCiCsYK4D3GmF+fJF8kopsnv98M4NIk/QKAJ1vFz0/SAgICVhA+1gEC8E4A9xlj3mb99GEArwTw5sn/v2mlv5aI3ocxIbhThA/Q2GjN13+eG0dcXmY+YALNrlsSR7w91l6DMufgs3FGrl3ZEqCx9DIarbyXUqmEarWqrrntKL/afQDA5uZmglCTXpPsvmu3y5yD7eqstcv7+uX9pr0Te2+CRgDyfWv57eei7Z9w7b9wyWBD7mVgxj/LIpa2xrdldO0RmKd14LkAvgPAZ2lyBDmAN2A8+D9ARK8G8BDGB5MCwEcwNg9+EWMT4Xd5SZIBzXW1KCmYV3HY7qhaJxwOh9jd3Y0RaEzaZZkIeXBnyWSMSbD0RISDg4MYCcgmL5u0Y9OYna9SqaDdbsfYdgDY2tqKhRwfDAbY2NhIPO9mszlVSrZZT7pOS6a9XC6j3W4n3Ibb7Tbq9XrC9VcORlc4cBuj0SgRMIXll1YN+azYCuBjCZCmSZfycZl7i5rFmZS1lcAsZkgf68CfAnDV9kIlvwHwGq/WLRT5si9KEUhZ5KYTbUZxeHiYmAn0er2Ef72LedbqlEpPMyn1er2En4BrJiA7e71eTwzGRqMRUwLD4TChKFg2eS8ySg+AhOmKZweyTm0GosFlnZHPy7XpRj5Tnz0GvvK4zq3wUQB2fWnXWrs+edMQ3IYDAtYcQQkEBKw5wt4BBT4knYTmOCKnfWnTQJ/1oZZHcxvu9/sxT8JarYZut5sgJI+OjhLt9Pv9GCnHywuZbzAYJJyotP36cg1eKpVUklOu4TVnJJ72u1yYOV1z7NHK8j3JOIaA//uw6/Rx8XXVBSSXE7yE0ZZUkqvSEIKKZEB7cK6BLK81ll6r02c/gNYGkHRTdZFO2mDkdJvT2NzcjK3Dj46OUK/XEzIeHh7GOlitVku44PK9yXar1WqCpJQus7Z8EnZatVpVvQO1qEGSudeIPS6rWYQ0S4CEKzqwDEji4nw0SH7CJV9Rq9U8rQM3FEWJvkW04avZ+QXKQZuH5NQgv3A+MrKSsglJGbADGH9N7BODGTy4bYJODhQtDdAHlC/JxnJwXh4Qst20Z2DL7GpzWcHpJgAABiNJREFUFhbdNRvIOyA1WYqQhbPIbSNwAgEBa46gBAIC1hxBCQQErDlWjhNYJNLWhfbvNrLW5DaytpYyM6614WpXc22VyHJGGQwG6HQ6MQZ+OByi0+moDj/S6caXZJOyaLwBk4XaqUnSy1F6G7oIMZug4zy+23wBJKwrEi5uI+vYOU7T3o8WiVnm5TgVPl6SWjvM7WT137VSAjZ8THBpeWU5je2WZi4eFLI+LUCH9DZ0wRVj376Xw8NDXLx4MdZpOdiHZP6JaGohAMaDcW9vL9GuHQCEIU2OmmmRg69Iq0GlUonlr1ar6t4GF6R1wFdxS4bfpaRdrsQ+bUmFqZG3LLeUTR5vx+m+hLUP1lYJ5EVRq4U2QH3SbMxqZeBOZ9fDlgH5xeR0m6UfDoeqqU5+oeSsIY3hdz0Dm/n2NYXl+er7WBvywMc64GsW1upyWVd878NHvmOlBOZtPvR9kDfCbBkQsCwEYjAgYM0RlEBAwJrjWC0H5o15rAld9fmyzJpvODPomlupq077moOe2iRbs9mMreEbjQZarVaCGORyWV5+8tBTQA/mKYOUVioVDAYDNQS6TXhxNF6Xt1zaM9DkBZLWCuZKpPuzVr9Wp2+7WrwIuVZn8tFOc+1j0OTT5NYiEGtYSyWQZ/D7klPaS5bWAY3xLpfLOHnyZGJAyRfI4cu1dqXykRF+2u02Tp8+HRt4jUYDN910UyIq787ODnq9XmzfgWaBaLVaiYF8cHAQO5AUQOK6Vqs5XY7t9F6vp25wsmMOMMrl8lSWtHelMfwa0+7afOSjkCS0/R1aec0KkEcJaDJrVicNa6kEgHwMaxby+HBr2l6LaS/Na6xUJGTn0syQrpBZaUx0UX94CV/f+nlgXjL71iXz5u1DabOOInCVzaqT5j0lLgIiugzgAMCVZcsyA07jeMsPHP97OO7yA4u9h6caY87IxJVQAgBARJ80xzj8+HGXHzj+93Dc5QeWcw/BOhAQsOYISiAgYM2xSkrgrmULMCOOu/zA8b+H4y4/sIR7WBlOICAgYDlYpZlAQEDAEhCUQEDAmmPpSoCIXkREXyCiLxLRncuWxxdE9CARfZaI7qHJ8epEtE1EdxPR30z+P7lsOW0Q0buI6BIR3WulqTLTGD8/eS+fIaJnLU/yqaya/G8koguT93APEb3E+u31E/m/QET/eDlSPw4iejIR/QERfZ6IPkdEPzBJX+47YLfJZfwDEAG4H8DTAVQB/CWAr1ymTDlkfxDAaZH2MwDunPx9J4CfXracQr7nA3gWgHuzZMb4PMnfBkAAngPg4ysq/xsB/JCS9ysn/akG4GmTfhYtWf6bATxr8vcGgL+eyLnUd7DsmcCzAXzRGPOAMeYIwPsA3L5kmWbB7QDePfn73QD++RJlScAY88cAropkl8y3A/glM8bHAGzR5Cj6ZcEhvwu3A3ifMaZnjPlbjA/IffbChPOAMeZRY8ynJ3/vAbgPwDks+R0sWwmcA/Cwdf3IJO04wAD4PSL6FBHdMUk7ax4/hv1LAM4uR7RccMl8nN7NayfT5XdZS7CVlp+IbgHwtQA+jiW/g2UrgeOM5xljngXgxQBeQ0TPt3804/ncsbK/HkeZAbwdwDMA3ArgUQBvXa442SCiNoAPAnidMSa2NXQZ72DZSuACgCdb1+cnaSsPY8yFyf+XAHwI46nmRZ6uTf6/tDwJveGS+Vi8G2PMRWPM0BgzAvAOPD7lX0n5iaiCsQJ4jzHm1yfJS30Hy1YCnwDwTCJ6GhFVAbwcwIeXLFMmiKhFRBv8N4BvAXAvxrK/cpLtlQB+czkS5oJL5g8D+M4JQ/0cADvWlHVlINbIL8X4PQBj+V9ORDUiehqAZwL48xstnw0a7+l9J4D7jDFvs35a7jtYJltqMaB/jTF7+6PLlsdT5qdjzDz/JYDPsdwATgH4KIC/AfD7ALaXLauQ+70YT5n7GK8vX+2SGWNG+n9M3stnAdy2ovL/8kS+z0wGzc1W/h+dyP8FAC9eAfmfh/FU/zMA7pn8e8my30FwGw4IWHMsezkQEBCwZAQlEBCw5ghKICBgzRGUQEDAmiMogYCANUdQAgEBa46gBAIC1hz/H7ARMtsiiLiZAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "t_img , label = train_data.next()\n",
        "\n",
        "def plotImages(img_arr, label):\n",
        "  count = 0\n",
        "  for im, l in zip(img_arr,label) :\n",
        "    plt.imshow(im)\n",
        "    plt.title(im.shape)\n",
        "    plt.axis = False\n",
        "    plt.show()\n",
        "    \n",
        "    count += 1\n",
        "    if count == 10:\n",
        "      break\n",
        "\n",
        "#-----------------------------------------------------------------------------\n",
        "# function call to plot the images \n",
        "plotImages(t_img, label)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Using MobileNet for its pre-trained weights**\n"
      ],
      "metadata": {
        "id": "N5JOFZkP6cET"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "1OeNB5eR9wgh"
      },
      "outputs": [],
      "source": [
        "base_model = MobileNet( input_shape=(224,224,3), include_top= False )\n",
        "\n",
        "for layer in base_model.layers:\n",
        "  layer.trainable = False\n",
        "\n",
        "x = Flatten()(base_model.output)\n",
        "x = Dense(units=7 , activation='softmax' )(x)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Creating our model.**\n"
      ],
      "metadata": {
        "id": "bPW8bM8P7Llo"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "bO4oE16l9ypB"
      },
      "outputs": [],
      "source": [
        "model = Model(base_model.input, x)\n",
        "model.compile(optimizer='adam', loss= categorical_crossentropy , metrics=['accuracy']  )"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Training the model**"
      ],
      "metadata": {
        "id": "GWeObdWE770n"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jf5T1FVB-TiV",
        "outputId": "38af7adb-77cf-44ed-f766-211a85a81dc2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:5: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n",
            "  \"\"\"\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.1056 - accuracy: 0.4156 - val_loss: 7.8875 - val_accuracy: 0.4478\n",
            "Epoch 2/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.4475 - accuracy: 0.4750 - val_loss: 6.3213 - val_accuracy: 0.4453\n",
            "Epoch 3/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.2408 - accuracy: 0.4906 - val_loss: 7.1913 - val_accuracy: 0.3966\n",
            "Epoch 4/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6744 - accuracy: 0.4563 - val_loss: 5.8871 - val_accuracy: 0.4669\n",
            "Epoch 5/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.2916 - accuracy: 0.4688 - val_loss: 6.7922 - val_accuracy: 0.4809\n",
            "Epoch 6/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.1353 - accuracy: 0.4437 - val_loss: 6.5795 - val_accuracy: 0.4519\n",
            "Epoch 7/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.0316 - accuracy: 0.4344 - val_loss: 7.9414 - val_accuracy: 0.4663\n",
            "Epoch 8/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.8512 - accuracy: 0.4625 - val_loss: 8.8720 - val_accuracy: 0.4228\n",
            "Epoch 9/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.9731 - accuracy: 0.4875 - val_loss: 7.9005 - val_accuracy: 0.4747\n",
            "Epoch 10/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.3313 - accuracy: 0.4844 - val_loss: 7.4282 - val_accuracy: 0.4553\n",
            "Epoch 11/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.3504 - accuracy: 0.4656 - val_loss: 7.0180 - val_accuracy: 0.4528\n",
            "Epoch 12/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.8299 - accuracy: 0.5031 - val_loss: 7.5594 - val_accuracy: 0.4822\n",
            "Epoch 13/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.2583 - accuracy: 0.4281 - val_loss: 8.1744 - val_accuracy: 0.4647\n",
            "Epoch 14/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.0753 - accuracy: 0.5312 - val_loss: 6.6338 - val_accuracy: 0.4741\n",
            "Epoch 15/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.1979 - accuracy: 0.4969 - val_loss: 7.4161 - val_accuracy: 0.4775\n",
            "Epoch 16/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.8864 - accuracy: 0.4281 - val_loss: 8.4044 - val_accuracy: 0.4409\n",
            "Epoch 17/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.7387 - accuracy: 0.4688 - val_loss: 8.0395 - val_accuracy: 0.4503\n",
            "Epoch 18/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6596 - accuracy: 0.5156 - val_loss: 6.6571 - val_accuracy: 0.4659\n",
            "Epoch 19/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.9556 - accuracy: 0.4187 - val_loss: 9.1266 - val_accuracy: 0.4628\n",
            "Epoch 20/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.0590 - accuracy: 0.4625 - val_loss: 6.9087 - val_accuracy: 0.4953\n",
            "Epoch 21/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.8635 - accuracy: 0.4875 - val_loss: 6.8104 - val_accuracy: 0.4950\n",
            "Epoch 22/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.6949 - accuracy: 0.5469 - val_loss: 7.1396 - val_accuracy: 0.4691\n",
            "Epoch 23/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.5901 - accuracy: 0.4969 - val_loss: 6.4095 - val_accuracy: 0.5088\n",
            "Epoch 24/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.1198 - accuracy: 0.5063 - val_loss: 6.7457 - val_accuracy: 0.4691\n",
            "Epoch 25/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6809 - accuracy: 0.4656 - val_loss: 7.4057 - val_accuracy: 0.4809\n",
            "Epoch 26/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.5226 - accuracy: 0.5063 - val_loss: 7.3888 - val_accuracy: 0.4747\n",
            "Epoch 27/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.8669 - accuracy: 0.4563 - val_loss: 7.2597 - val_accuracy: 0.4797\n",
            "Epoch 28/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.1516 - accuracy: 0.4500 - val_loss: 7.5890 - val_accuracy: 0.4466\n",
            "Epoch 29/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.3367 - accuracy: 0.4594 - val_loss: 6.4429 - val_accuracy: 0.4881\n",
            "Epoch 30/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.5459 - accuracy: 0.4875 - val_loss: 9.6295 - val_accuracy: 0.4359\n",
            "Epoch 31/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.7934 - accuracy: 0.4719 - val_loss: 7.2968 - val_accuracy: 0.4969\n",
            "Epoch 32/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.3809 - accuracy: 0.5281 - val_loss: 6.7336 - val_accuracy: 0.5097\n",
            "Epoch 33/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.7559 - accuracy: 0.5094 - val_loss: 6.8002 - val_accuracy: 0.4619\n",
            "Epoch 34/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.0236 - accuracy: 0.4595 - val_loss: 7.1237 - val_accuracy: 0.4850\n",
            "Epoch 35/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.4091 - accuracy: 0.5156 - val_loss: 7.7481 - val_accuracy: 0.4663\n",
            "Epoch 36/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.3681 - accuracy: 0.4563 - val_loss: 7.6227 - val_accuracy: 0.4466\n",
            "Epoch 37/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.9909 - accuracy: 0.4875 - val_loss: 7.3239 - val_accuracy: 0.4719\n",
            "Epoch 38/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6798 - accuracy: 0.5375 - val_loss: 6.5433 - val_accuracy: 0.5109\n",
            "Epoch 39/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.1996 - accuracy: 0.4781 - val_loss: 6.2904 - val_accuracy: 0.5147\n",
            "Epoch 40/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.8176 - accuracy: 0.4906 - val_loss: 6.8694 - val_accuracy: 0.4938\n",
            "Epoch 41/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.1092 - accuracy: 0.5469 - val_loss: 7.3126 - val_accuracy: 0.4859\n",
            "Epoch 42/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.4869 - accuracy: 0.5312 - val_loss: 9.9454 - val_accuracy: 0.3959\n",
            "Epoch 43/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.4938 - accuracy: 0.5094 - val_loss: 7.7727 - val_accuracy: 0.4691\n",
            "Epoch 44/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.7890 - accuracy: 0.5156 - val_loss: 9.2011 - val_accuracy: 0.4197\n",
            "Epoch 45/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.3371 - accuracy: 0.5312 - val_loss: 6.4988 - val_accuracy: 0.5216\n",
            "Epoch 46/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.9703 - accuracy: 0.5406 - val_loss: 7.2411 - val_accuracy: 0.5072\n",
            "Epoch 47/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.5787 - accuracy: 0.4969 - val_loss: 7.9578 - val_accuracy: 0.4994\n",
            "Epoch 48/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.2482 - accuracy: 0.5312 - val_loss: 6.9829 - val_accuracy: 0.4725\n",
            "Epoch 49/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.3426 - accuracy: 0.5219 - val_loss: 6.7548 - val_accuracy: 0.4919\n",
            "Epoch 50/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.3673 - accuracy: 0.5500 - val_loss: 7.6600 - val_accuracy: 0.4584\n",
            "Epoch 51/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.5038 - accuracy: 0.5125 - val_loss: 7.4011 - val_accuracy: 0.4963\n",
            "Epoch 52/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.5891 - accuracy: 0.5031 - val_loss: 7.7083 - val_accuracy: 0.4891\n",
            "Epoch 53/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.8615 - accuracy: 0.5125 - val_loss: 7.3546 - val_accuracy: 0.5050\n",
            "Epoch 54/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.3653 - accuracy: 0.5969 - val_loss: 7.0403 - val_accuracy: 0.5081\n",
            "Epoch 55/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.2058 - accuracy: 0.4969 - val_loss: 9.1315 - val_accuracy: 0.4722\n",
            "Epoch 56/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.4089 - accuracy: 0.4790 - val_loss: 8.8244 - val_accuracy: 0.4491\n",
            "Epoch 57/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.0040 - accuracy: 0.5406 - val_loss: 8.0022 - val_accuracy: 0.4575\n",
            "Epoch 58/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.1708 - accuracy: 0.5938 - val_loss: 7.1880 - val_accuracy: 0.5019\n",
            "Epoch 59/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.9561 - accuracy: 0.5437 - val_loss: 6.8600 - val_accuracy: 0.4966\n",
            "Epoch 60/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.2305 - accuracy: 0.5531 - val_loss: 8.8512 - val_accuracy: 0.4684\n",
            "Epoch 61/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.2632 - accuracy: 0.4656 - val_loss: 8.9296 - val_accuracy: 0.4816\n",
            "Epoch 62/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 9.9979 - accuracy: 0.4250 - val_loss: 6.7132 - val_accuracy: 0.4666\n",
            "Epoch 63/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.9570 - accuracy: 0.5219 - val_loss: 9.0777 - val_accuracy: 0.4512\n",
            "Epoch 64/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.4719 - accuracy: 0.5000 - val_loss: 7.4951 - val_accuracy: 0.5128\n",
            "Epoch 65/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 8.0531 - accuracy: 0.4875 - val_loss: 7.9659 - val_accuracy: 0.4569\n",
            "Epoch 66/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6945 - accuracy: 0.5437 - val_loss: 7.6143 - val_accuracy: 0.4734\n",
            "Epoch 67/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6462 - accuracy: 0.5406 - val_loss: 6.7381 - val_accuracy: 0.5091\n",
            "Epoch 68/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.3091 - accuracy: 0.5000 - val_loss: 6.4323 - val_accuracy: 0.5141\n",
            "Epoch 69/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.9034 - accuracy: 0.5250 - val_loss: 9.6998 - val_accuracy: 0.4475\n",
            "Epoch 70/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6506 - accuracy: 0.4625 - val_loss: 7.3498 - val_accuracy: 0.4881\n",
            "Epoch 71/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.4081 - accuracy: 0.4875 - val_loss: 8.5982 - val_accuracy: 0.4950\n",
            "Epoch 72/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.5710 - accuracy: 0.5156 - val_loss: 6.6530 - val_accuracy: 0.5228\n",
            "Epoch 73/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.5348 - accuracy: 0.4750 - val_loss: 6.8323 - val_accuracy: 0.5206\n",
            "Epoch 74/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.2703 - accuracy: 0.5500 - val_loss: 6.8462 - val_accuracy: 0.5106\n",
            "Epoch 75/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.4566 - accuracy: 0.5594 - val_loss: 6.8057 - val_accuracy: 0.5025\n",
            "Epoch 76/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.7350 - accuracy: 0.5594 - val_loss: 7.0277 - val_accuracy: 0.4925\n",
            "Epoch 77/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6930 - accuracy: 0.5406 - val_loss: 7.7416 - val_accuracy: 0.4772\n",
            "Epoch 78/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.6265 - accuracy: 0.5312 - val_loss: 6.8387 - val_accuracy: 0.5006\n",
            "Epoch 79/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.2269 - accuracy: 0.5656 - val_loss: 7.2295 - val_accuracy: 0.4888\n",
            "Epoch 80/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.3453 - accuracy: 0.5219 - val_loss: 7.0789 - val_accuracy: 0.4947\n",
            "Epoch 81/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.0900 - accuracy: 0.5125 - val_loss: 7.7817 - val_accuracy: 0.4603\n",
            "Epoch 82/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.7917 - accuracy: 0.5562 - val_loss: 7.0757 - val_accuracy: 0.4787\n",
            "Epoch 83/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.7096 - accuracy: 0.5719 - val_loss: 6.8914 - val_accuracy: 0.5206\n",
            "Epoch 84/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.2548 - accuracy: 0.4812 - val_loss: 8.3960 - val_accuracy: 0.4675\n",
            "Epoch 85/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.1557 - accuracy: 0.5656 - val_loss: 7.2474 - val_accuracy: 0.5059\n",
            "Epoch 86/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.7563 - accuracy: 0.5031 - val_loss: 7.8843 - val_accuracy: 0.5069\n",
            "Epoch 87/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.5345 - accuracy: 0.5094 - val_loss: 7.7368 - val_accuracy: 0.4856\n",
            "Epoch 88/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.6363 - accuracy: 0.4938 - val_loss: 10.3155 - val_accuracy: 0.4547\n",
            "Epoch 89/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.9829 - accuracy: 0.4875 - val_loss: 7.9836 - val_accuracy: 0.4947\n",
            "Epoch 90/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.0950 - accuracy: 0.4812 - val_loss: 7.1366 - val_accuracy: 0.5222\n",
            "Epoch 91/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.4104 - accuracy: 0.5219 - val_loss: 7.1916 - val_accuracy: 0.5013\n",
            "Epoch 92/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.9091 - accuracy: 0.5500 - val_loss: 7.7213 - val_accuracy: 0.5016\n",
            "Epoch 93/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.8562 - accuracy: 0.5031 - val_loss: 7.0803 - val_accuracy: 0.4916\n",
            "Epoch 94/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.6072 - accuracy: 0.5562 - val_loss: 8.9180 - val_accuracy: 0.4800\n",
            "Epoch 95/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.9547 - accuracy: 0.5656 - val_loss: 6.9888 - val_accuracy: 0.4944\n",
            "Epoch 96/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 7.0120 - accuracy: 0.5625 - val_loss: 7.4535 - val_accuracy: 0.4884\n",
            "Epoch 97/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.9768 - accuracy: 0.5781 - val_loss: 7.0183 - val_accuracy: 0.5119\n",
            "Epoch 98/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 5.5473 - accuracy: 0.5625 - val_loss: 8.0225 - val_accuracy: 0.4944\n",
            "Epoch 99/100\n",
            "10/10 [==============================] - 13s 1s/step - loss: 6.7853 - accuracy: 0.5094 - val_loss: 9.1492 - val_accuracy: 0.4688\n",
            "Epoch 100/100\n",
            "10/10 [==============================] - 14s 2s/step - loss: 7.8035 - accuracy: 0.5094 - val_loss: 8.1685 - val_accuracy: 0.4737\n"
          ]
        }
      ],
      "source": [
        "hist = model.fit_generator(train_data, \n",
        "                           steps_per_epoch= 10, \n",
        "                           epochs= 100, \n",
        "                           validation_data= val_data, \n",
        "                           validation_steps= 10)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Saving the built Model**"
      ],
      "metadata": {
        "id": "ffu48A4gAp2t"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "4caHqjnokbr6"
      },
      "outputs": [],
      "source": [
        "# Save the model in h5 format \n",
        "model.save('final_model.h5')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Train accuracy v/s Testing accuracy**"
      ],
      "metadata": {
        "id": "rDLR95l7Auzl"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "K8l0OodF-8Ur",
        "outputId": "112e545f-db75-4f99-e606-3a701c071271"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.plot(hist.history['accuracy'])\n",
        "plt.plot(hist.history['val_accuracy'] , c = \"red\")\n",
        "plt.title(\"training_acc vs validation_acc\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**Training Loss v/s Testing Loss**"
      ],
      "metadata": {
        "id": "cgh47EM5KWyw"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "hyLS4dCh-_Zy",
        "outputId": "bbf31bd2-4c52-4e0d-98dc-edd3910b4b63"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.plot(hist.history['loss'])\n",
        "plt.plot(hist.history['val_loss'] , c = \"red\")\n",
        "plt.title(\"train_loss vs validation_loss\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Testing the model using images**"
      ],
      "metadata": {
        "id": "DQzYKyNB8aBQ"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "p7U7W_4d_Aiz"
      },
      "outputs": [],
      "source": [
        "op = dict(zip( train_data.class_indices.values(), train_data.class_indices.keys()))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "uVSHne1A_FFj",
        "outputId": "bf55d12c-a850-4a40-ffbf-5ebc4b8cce8e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " the image is of angry\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# path for the image to see if it predics correct class\n",
        "\n",
        "path = \"/content/images/images/validation/angry/10052.jpg\"\n",
        "img = load_img(path, target_size=(224,224) )\n",
        "\n",
        "i = img_to_array(img)/255\n",
        "input_arr = np.array([i])\n",
        "input_arr.shape\n",
        "\n",
        "pred = np.argmax(model.predict(input_arr))\n",
        "\n",
        "print(f\" the image is of {op[pred]}\")\n",
        "\n",
        "# to display the image  \n",
        "plt.imshow(input_arr[0])\n",
        "plt.title(\"input image\")\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "Emotion Detection.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}