Age_and_Sex_Prediction_from_Image_Convolutional_Neural_Network_with_Artificial_Intelligence.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!unzip utkface-new.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v0iG_PXSqyIh",
        "outputId": "2093894a-49e5-4fdd-9f55-eec045757e0b"
      },
      "id": "v0iG_PXSqyIh",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mGörüntülenen çıkış son 5000 satıra kısaltıldı.\u001b[0m\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "b300f135",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:33:16.334810Z",
          "iopub.status.busy": "2021-10-31T02:33:16.334061Z",
          "iopub.status.idle": "2021-10-31T02:33:16.338482Z",
          "shell.execute_reply": "2021-10-31T02:33:16.337956Z",
          "shell.execute_reply.started": "2021-10-31T02:21:18.997704Z"
        },
        "id": "b300f135",
        "papermill": {
          "duration": 0.048758,
          "end_time": "2021-10-31T02:33:16.338616",
          "exception": false,
          "start_time": "2021-10-31T02:33:16.289858",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "fldr=\"/content/UTKFace\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "e1fd40ec",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:33:16.445747Z",
          "iopub.status.busy": "2021-10-31T02:33:16.444952Z",
          "iopub.status.idle": "2021-10-31T02:33:17.003840Z",
          "shell.execute_reply": "2021-10-31T02:33:17.004245Z",
          "shell.execute_reply.started": "2021-10-31T02:21:19.919176Z"
        },
        "id": "e1fd40ec",
        "papermill": {
          "duration": 0.61299,
          "end_time": "2021-10-31T02:33:17.004426",
          "exception": false,
          "start_time": "2021-10-31T02:33:16.391436",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3a0b62e6-5afb-4b09-ccd0-e9b46ba048b6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "54\n",
            "54_0_0_20170120223350413.jpg.chip.jpg\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "files=os.listdir(fldr)\n",
        "print(int(files[0].split('_')[0]))\n",
        "print(files[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "4cd61616",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:33:17.080060Z",
          "iopub.status.busy": "2021-10-31T02:33:17.079448Z",
          "iopub.status.idle": "2021-10-31T02:34:45.465485Z",
          "shell.execute_reply": "2021-10-31T02:34:45.464944Z",
          "shell.execute_reply.started": "2021-10-31T02:21:20.799142Z"
        },
        "id": "4cd61616",
        "papermill": {
          "duration": 88.426226,
          "end_time": "2021-10-31T02:34:45.465630",
          "exception": false,
          "start_time": "2021-10-31T02:33:17.039404",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "import cv2\n",
        "ages=[]\n",
        "genders=[]\n",
        "images=[]\n",
        "\n",
        "for i, fle in enumerate(files):\n",
        "  age=int(fle.split('_')[0])\n",
        "  gender=int(fle.split('_')[1])\n",
        "  total=fldr+'/'+fle\n",
        "  image=cv2.imread(total)\n",
        "\n",
        "  image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
        "  image= cv2.resize(image,(48,48))\n",
        "  images.append(image)\n",
        "#   if i % 1000 == 0:\n",
        "#     print(i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "68536a87",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:45.569240Z",
          "iopub.status.busy": "2021-10-31T02:34:45.567667Z",
          "iopub.status.idle": "2021-10-31T02:34:45.569822Z",
          "shell.execute_reply": "2021-10-31T02:34:45.570236Z",
          "shell.execute_reply.started": "2021-10-31T02:23:41.447994Z"
        },
        "id": "68536a87",
        "papermill": {
          "duration": 0.069117,
          "end_time": "2021-10-31T02:34:45.570368",
          "exception": false,
          "start_time": "2021-10-31T02:34:45.501251",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "for fle in files:\n",
        "  age=int(fle.split('_')[0])\n",
        "  gender=int(fle.split('_')[1])\n",
        "  ages.append(age)\n",
        "  genders.append(gender)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "fe83c98a",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:45.691359Z",
          "iopub.status.busy": "2021-10-31T02:34:45.689751Z",
          "iopub.status.idle": "2021-10-31T02:34:45.691914Z",
          "shell.execute_reply": "2021-10-31T02:34:45.692349Z",
          "shell.execute_reply.started": "2021-10-31T02:23:41.484009Z"
        },
        "id": "fe83c98a",
        "papermill": {
          "duration": 0.041078,
          "end_time": "2021-10-31T02:34:45.692481",
          "exception": false,
          "start_time": "2021-10-31T02:34:45.651403",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "# from google.colab.patches import cv2_imshow\n",
        "# cv2_imshow(images[24])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "35246182",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:45.765552Z",
          "iopub.status.busy": "2021-10-31T02:34:45.764732Z",
          "iopub.status.idle": "2021-10-31T02:34:45.768396Z",
          "shell.execute_reply": "2021-10-31T02:34:45.768826Z",
          "shell.execute_reply.started": "2021-10-31T02:23:41.490810Z"
        },
        "id": "35246182",
        "outputId": "1ff81b1d-fe66-4f2e-a351-d00202c0b7ef",
        "papermill": {
          "duration": 0.041844,
          "end_time": "2021-10-31T02:34:45.768963",
          "exception": false,
          "start_time": "2021-10-31T02:34:45.727119",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "42\n",
            "1\n"
          ]
        }
      ],
      "source": [
        "print(ages[24])\n",
        "print(genders[24])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "b93570b1",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:45.843490Z",
          "iopub.status.busy": "2021-10-31T02:34:45.841929Z",
          "iopub.status.idle": "2021-10-31T02:34:45.844078Z",
          "shell.execute_reply": "2021-10-31T02:34:45.844517Z",
          "shell.execute_reply.started": "2021-10-31T02:23:41.498222Z"
        },
        "id": "b93570b1",
        "papermill": {
          "duration": 0.040735,
          "end_time": "2021-10-31T02:34:45.844638",
          "exception": false,
          "start_time": "2021-10-31T02:34:45.803903",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "# cv2_imshow(images[53])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "eba1982e",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:45.917763Z",
          "iopub.status.busy": "2021-10-31T02:34:45.917183Z",
          "iopub.status.idle": "2021-10-31T02:34:45.920546Z",
          "shell.execute_reply": "2021-10-31T02:34:45.919973Z",
          "shell.execute_reply.started": "2021-10-31T02:23:41.505666Z"
        },
        "id": "eba1982e",
        "outputId": "db5a4f99-b3f6-4851-ee2f-dc647dd7e3c2",
        "papermill": {
          "duration": 0.041585,
          "end_time": "2021-10-31T02:34:45.920661",
          "exception": false,
          "start_time": "2021-10-31T02:34:45.879076",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3\n",
            "0\n"
          ]
        }
      ],
      "source": [
        "print(ages[53])\n",
        "print(genders[53])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "ecd8430d",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:45.998116Z",
          "iopub.status.busy": "2021-10-31T02:34:45.996996Z",
          "iopub.status.idle": "2021-10-31T02:34:46.070764Z",
          "shell.execute_reply": "2021-10-31T02:34:46.071186Z",
          "shell.execute_reply.started": "2021-10-31T02:28:14.238755Z"
        },
        "id": "ecd8430d",
        "papermill": {
          "duration": 0.114918,
          "end_time": "2021-10-31T02:34:46.071373",
          "exception": false,
          "start_time": "2021-10-31T02:34:45.956455",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "images_f=np.array(images)\n",
        "genders_f=np.array(genders)\n",
        "ages_f=np.array(ages)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "8eb56bb0",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:46.151954Z",
          "iopub.status.busy": "2021-10-31T02:34:46.151099Z",
          "iopub.status.idle": "2021-10-31T02:34:46.289537Z",
          "shell.execute_reply": "2021-10-31T02:34:46.288590Z",
          "shell.execute_reply.started": "2021-10-31T02:28:16.918232Z"
        },
        "id": "8eb56bb0",
        "papermill": {
          "duration": 0.181952,
          "end_time": "2021-10-31T02:34:46.289716",
          "exception": false,
          "start_time": "2021-10-31T02:34:46.107764",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "np.save('image.npy',images_f)\n",
        "np.save('gender.npy',genders_f)\n",
        "np.save('age.npy',ages_f)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "45259836",
      "metadata": {
        "id": "45259836",
        "papermill": {
          "duration": 0.057179,
          "end_time": "2021-10-31T02:34:46.426378",
          "exception": false,
          "start_time": "2021-10-31T02:34:46.369199",
          "status": "completed"
        },
        "tags": []
      },
      "source": [
        "Male = 0\n",
        "Female= 1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "203001b8",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:46.551143Z",
          "iopub.status.busy": "2021-10-31T02:34:46.550381Z",
          "iopub.status.idle": "2021-10-31T02:34:46.556522Z",
          "shell.execute_reply": "2021-10-31T02:34:46.557735Z",
          "shell.execute_reply.started": "2021-10-31T02:23:41.718295Z"
        },
        "id": "203001b8",
        "outputId": "1ca233bc-5228-4d7b-f9c5-9499023c3b92",
        "papermill": {
          "duration": 0.070038,
          "end_time": "2021-10-31T02:34:46.558054",
          "exception": false,
          "start_time": "2021-10-31T02:34:46.488016",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[12391 11317]\n"
          ]
        }
      ],
      "source": [
        "values, counts = np.unique(genders_f, return_counts=True)\n",
        "print(counts)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "6d7e2835",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:46.693563Z",
          "iopub.status.busy": "2021-10-31T02:34:46.692753Z",
          "iopub.status.idle": "2021-10-31T02:34:46.901723Z",
          "shell.execute_reply": "2021-10-31T02:34:46.902167Z",
          "shell.execute_reply.started": "2021-10-31T02:28:23.959169Z"
        },
        "id": "6d7e2835",
        "outputId": "05ed2177-0283-455c-cef1-113b9d41fde2",
        "papermill": {
          "duration": 0.276474,
          "end_time": "2021-10-31T02:34:46.902344",
          "exception": false,
          "start_time": "2021-10-31T02:34:46.625870",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 336
        }
      },
      "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": [
        "import matplotlib.pyplot as plt\n",
        "fig = plt.figure()\n",
        "ax = fig.add_axes([0,0,1,1])\n",
        "gender = ['Male', 'Female']\n",
        "values=[4372,5047]\n",
        "ax.bar(gender,values)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "id": "5f4247a5",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:46.979016Z",
          "iopub.status.busy": "2021-10-31T02:34:46.978125Z",
          "iopub.status.idle": "2021-10-31T02:34:46.983170Z",
          "shell.execute_reply": "2021-10-31T02:34:46.983719Z",
          "shell.execute_reply.started": "2021-10-31T02:28:24.397937Z"
        },
        "id": "5f4247a5",
        "outputId": "c38c97f3-e26d-4162-a844-7e4345684dfe",
        "papermill": {
          "duration": 0.045624,
          "end_time": "2021-10-31T02:34:46.983900",
          "exception": false,
          "start_time": "2021-10-31T02:34:46.938276",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1123  482  289  273  196  131  139  263  166  156   65  130   81  157\n",
            "  177  247  158  262   98  284  346  395  426  859  734 2197  615  918\n",
            "  570  724  350  664  143  409  880  483  293  325  266  526  132  266\n",
            "  157  100  440  153  170  153  148  381  138  232  241  353  268  236\n",
            "   97  271   82  293  161  125  103   50  259   77   94  100   56  147\n",
            "   33   98   63   32  148   58   28   69   23  133   22   40   18   24\n",
            "  155   35   10   34   33   82    2   13    5    9   17    9   11    2\n",
            "    1    5    5    1    3    4]\n"
          ]
        }
      ],
      "source": [
        "values, counts = np.unique(ages_f, return_counts=True)\n",
        "print(counts)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "d6a5da90",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:47.065094Z",
          "iopub.status.busy": "2021-10-31T02:34:47.063561Z",
          "iopub.status.idle": "2021-10-31T02:34:47.065727Z",
          "shell.execute_reply": "2021-10-31T02:34:47.066120Z",
          "shell.execute_reply.started": "2021-10-31T02:28:26.604161Z"
        },
        "id": "d6a5da90",
        "papermill": {
          "duration": 0.043446,
          "end_time": "2021-10-31T02:34:47.066282",
          "exception": false,
          "start_time": "2021-10-31T02:34:47.022836",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "val=values.tolist()\n",
        "cnt=counts.tolist()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "86580e02",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:47.168847Z",
          "iopub.status.busy": "2021-10-31T02:34:47.165815Z",
          "iopub.status.idle": "2021-10-31T02:34:47.319864Z",
          "shell.execute_reply": "2021-10-31T02:34:47.320337Z",
          "shell.execute_reply.started": "2021-10-31T02:28:27.158540Z"
        },
        "id": "86580e02",
        "outputId": "ee1560d2-26c4-4bf9-ab6a-23de620173c8",
        "papermill": {
          "duration": 0.21698,
          "end_time": "2021-10-31T02:34:47.320473",
          "exception": false,
          "start_time": "2021-10-31T02:34:47.103493",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "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(counts)\n",
        "plt.xlabel('ages')\n",
        "plt.ylabel('distribution')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "a1fbfccd",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:47.508860Z",
          "iopub.status.busy": "2021-10-31T02:34:47.507958Z",
          "iopub.status.idle": "2021-10-31T02:34:47.510364Z",
          "shell.execute_reply": "2021-10-31T02:34:47.509917Z",
          "shell.execute_reply.started": "2021-10-31T02:28:27.762711Z"
        },
        "id": "a1fbfccd",
        "papermill": {
          "duration": 0.152602,
          "end_time": "2021-10-31T02:34:47.510490",
          "exception": false,
          "start_time": "2021-10-31T02:34:47.357888",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "labels=[]\n",
        "\n",
        "i=0\n",
        "while i<len(ages):\n",
        "  label=[]\n",
        "  label.append([ages[i]])\n",
        "  label.append([genders[i]])\n",
        "  labels.append(label)\n",
        "  i+=1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "73c0d514",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:47.590901Z",
          "iopub.status.busy": "2021-10-31T02:34:47.589953Z",
          "iopub.status.idle": "2021-10-31T02:34:48.073668Z",
          "shell.execute_reply": "2021-10-31T02:34:48.074115Z",
          "shell.execute_reply.started": "2021-10-31T02:28:28.483557Z"
        },
        "id": "73c0d514",
        "papermill": {
          "duration": 0.524758,
          "end_time": "2021-10-31T02:34:48.074324",
          "exception": false,
          "start_time": "2021-10-31T02:34:47.549566",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3c160aee-456c-4c01-f96a-f3a59b662ea1"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(23708, 48, 48, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "images_f_2=images_f/255\n",
        "labels_f=np.array(labels)\n",
        "images_f_2.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "id": "c8fd60fe",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:48.159208Z",
          "iopub.status.busy": "2021-10-31T02:34:48.158596Z",
          "iopub.status.idle": "2021-10-31T02:34:52.549007Z",
          "shell.execute_reply": "2021-10-31T02:34:52.548513Z",
          "shell.execute_reply.started": "2021-10-31T02:28:29.278449Z"
        },
        "id": "c8fd60fe",
        "papermill": {
          "duration": 4.433658,
          "end_time": "2021-10-31T02:34:52.549144",
          "exception": false,
          "start_time": "2021-10-31T02:34:48.115486",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf\n",
        "from sklearn.model_selection import train_test_split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "id": "7f30850e",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:52.634523Z",
          "iopub.status.busy": "2021-10-31T02:34:52.633364Z",
          "iopub.status.idle": "2021-10-31T02:34:53.018103Z",
          "shell.execute_reply": "2021-10-31T02:34:53.017624Z",
          "shell.execute_reply.started": "2021-10-31T02:28:29.798421Z"
        },
        "id": "7f30850e",
        "papermill": {
          "duration": 0.430361,
          "end_time": "2021-10-31T02:34:53.018258",
          "exception": false,
          "start_time": "2021-10-31T02:34:52.587897",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "X_train, X_test, Y_train, Y_test= train_test_split(images_f_2, labels_f,test_size=0.25)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "id": "03e81563",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:53.100118Z",
          "iopub.status.busy": "2021-10-31T02:34:53.099439Z",
          "iopub.status.idle": "2021-10-31T02:34:53.102036Z",
          "shell.execute_reply": "2021-10-31T02:34:53.102476Z",
          "shell.execute_reply.started": "2021-10-31T02:28:30.648452Z"
        },
        "id": "03e81563",
        "outputId": "b29a9f63-7603-4615-a528-a8101c4d29c9",
        "papermill": {
          "duration": 0.046635,
          "end_time": "2021-10-31T02:34:53.102603",
          "exception": false,
          "start_time": "2021-10-31T02:34:53.055968",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[[61],\n",
              "        [ 0]],\n",
              "\n",
              "       [[26],\n",
              "        [ 0]],\n",
              "\n",
              "       [[34],\n",
              "        [ 1]],\n",
              "\n",
              "       [[45],\n",
              "        [ 0]],\n",
              "\n",
              "       [[58],\n",
              "        [ 0]]])"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "Y_train[0:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "id": "3e2ca0da",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:53.185570Z",
          "iopub.status.busy": "2021-10-31T02:34:53.184861Z",
          "iopub.status.idle": "2021-10-31T02:34:53.187535Z",
          "shell.execute_reply": "2021-10-31T02:34:53.187066Z",
          "shell.execute_reply.started": "2021-10-31T02:28:31.277583Z"
        },
        "id": "3e2ca0da",
        "papermill": {
          "duration": 0.04605,
          "end_time": "2021-10-31T02:34:53.187644",
          "exception": false,
          "start_time": "2021-10-31T02:34:53.141594",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "Y_train_2=[Y_train[:,1],Y_train[:,0]]\n",
        "Y_test_2=[Y_test[:,1],Y_test[:,0]]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "25792ad6",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:53.268736Z",
          "iopub.status.busy": "2021-10-31T02:34:53.268047Z",
          "iopub.status.idle": "2021-10-31T02:34:53.270620Z",
          "shell.execute_reply": "2021-10-31T02:34:53.271113Z",
          "shell.execute_reply.started": "2021-10-31T02:28:31.958023Z"
        },
        "id": "25792ad6",
        "outputId": "87fa97db-9039-48f8-a1d1-738efff267ca",
        "papermill": {
          "duration": 0.045512,
          "end_time": "2021-10-31T02:34:53.271257",
          "exception": false,
          "start_time": "2021-10-31T02:34:53.225745",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0],\n",
              "       [0],\n",
              "       [1],\n",
              "       [0],\n",
              "       [0]])"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "Y_train_2[0][0:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "id": "cb5df889",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:53.351439Z",
          "iopub.status.busy": "2021-10-31T02:34:53.350790Z",
          "iopub.status.idle": "2021-10-31T02:34:53.353428Z",
          "shell.execute_reply": "2021-10-31T02:34:53.353854Z",
          "shell.execute_reply.started": "2021-10-31T02:28:32.598270Z"
        },
        "id": "cb5df889",
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          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[61],\n",
              "       [26],\n",
              "       [34],\n",
              "       [45],\n",
              "       [58]])"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "Y_train_2[1][0:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 168,
      "id": "8d7e63f2",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:53.516969Z",
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          "shell.execute_reply": "2021-10-31T02:34:54.327795Z",
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          "exception": false,
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          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "from tensorflow.keras.layers import Dropout\n",
        "from tensorflow.keras.layers import Flatten,BatchNormalization\n",
        "from tensorflow.keras.layers import Dense, MaxPooling2D,Conv2D\n",
        "from tensorflow.keras.layers import Input,Activation,Add\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.regularizers import l2\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "import tensorflow as tf\n",
        "\n",
        "def Convolution(input_tensor,filters):\n",
        "    \n",
        "    x = Conv2D(filters=32,kernel_size=(3, 3),padding = 'same',kernel_regularizer=l2(0.01))(input_tensor)\n",
        "    x = Dropout(0.2)(x)\n",
        "    x= Activation('relu')(x)\n",
        "\n",
        "    return x\n",
        "def model(input_shape):\n",
        "  inputs = Input((input_shape))\n",
        "  \n",
        "  conv_1= Convolution(inputs,64)\n",
        "  maxp_1 = MaxPooling2D(pool_size = (2,2)) (conv_1)\n",
        "  conv_2 = Convolution(maxp_1,32)\n",
        "  maxp_2 = MaxPooling2D(pool_size = (2, 2)) (conv_2)\n",
        "  conv_3 = Convolution(maxp_2,64)\n",
        "  maxp_3 = MaxPooling2D(pool_size = (2, 2)) (conv_3)\n",
        "  conv_4 = Convolution(maxp_3,512)\n",
        "  maxp_4 = MaxPooling2D(pool_size = (2, 2)) (conv_4)\n",
        "  flatten= Flatten() (maxp_4)\n",
        "  dense_1= Dense(64,activation='relu')(flatten)\n",
        "  dense_2= Dense(64,activation='relu')(flatten)\n",
        "  drop_1=Dropout(0.2)(dense_1)\n",
        "  drop_2=Dropout(0.2)(dense_2)\n",
        "  output_1= Dense(1,activation=\"sigmoid\",name='sex_out')(drop_1)\n",
        "  output_2= Dense(1,activation=\"relu\",name='age_out')(drop_2)\n",
        "  model = Model(inputs=[inputs], outputs=[output_1,output_2])\n",
        "  model.compile(loss=[\"binary_crossentropy\",\"mae\"], optimizer=\"Adam\",\n",
        "\tmetrics=[\"accuracy\"])\n",
        "  \n",
        "  return model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 169,
      "id": "acad90ca",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:57.085440Z",
          "iopub.status.busy": "2021-10-31T02:34:57.084665Z",
          "iopub.status.idle": "2021-10-31T02:34:57.087427Z",
          "shell.execute_reply": "2021-10-31T02:34:57.086969Z",
          "shell.execute_reply.started": "2021-10-31T02:28:45.998444Z"
        },
        "id": "acad90ca",
        "papermill": {
          "duration": 0.047237,
          "end_time": "2021-10-31T02:34:57.087547",
          "exception": false,
          "start_time": "2021-10-31T02:34:57.040310",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "from tensorflow.keras.callbacks import ModelCheckpoint\n",
        "import tensorflow as tf"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 170,
      "id": "a36e661b",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:57.172242Z",
          "iopub.status.busy": "2021-10-31T02:34:57.171628Z",
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          "shell.execute_reply": "2021-10-31T02:34:57.174248Z",
          "shell.execute_reply.started": "2021-10-31T02:28:46.488448Z"
        },
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          "end_time": "2021-10-31T02:34:57.174379",
          "exception": false,
          "start_time": "2021-10-31T02:34:57.127105",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "fle_s='model_prediction.h5'\n",
        "checkpointer = ModelCheckpoint(fle_s, monitor='val_loss',verbose=1,save_best_only=True,save_weights_only=False, mode='auto',save_freq='epoch')\n",
        "Early_stop=tf.keras.callbacks.EarlyStopping(patience=80, monitor='val_loss',restore_best_weights=True),\n",
        "callback_list=[checkpointer,Early_stop]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d6211e34",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:34:57.320405Z",
          "iopub.status.busy": "2021-10-31T02:34:57.319588Z",
          "iopub.status.idle": "2021-10-31T02:40:21.388764Z",
          "shell.execute_reply": "2021-10-31T02:40:21.389178Z",
          "shell.execute_reply.started": "2021-10-31T02:28:52.279150Z"
        },
        "id": "d6211e34",
        "papermill": {
          "duration": 324.146705,
          "end_time": "2021-10-31T02:40:21.389381",
          "exception": false,
          "start_time": "2021-10-31T02:34:57.242676",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "History=Model.fit(X_train,Y_train_2,batch_size=64,validation_data=(X_test,Y_test_2),epochs=160,callbacks=[callback_list])"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.models import load_model\n",
        "Model = load_model('model_prediction_1.h5')"
      ],
      "metadata": {
        "id": "D1RT3UcaBpBq"
      },
      "id": "D1RT3UcaBpBq",
      "execution_count": 187,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 188,
      "id": "041caafc",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:26.708143Z",
          "iopub.status.busy": "2021-10-31T02:40:26.706989Z",
          "iopub.status.idle": "2021-10-31T02:40:28.445878Z",
          "shell.execute_reply": "2021-10-31T02:40:28.446361Z",
          "shell.execute_reply.started": "2021-10-31T02:29:49.150783Z"
        },
        "id": "041caafc",
        "outputId": "b1aa8e6d-e946-4227-9ac2-c4c3a5924f40",
        "papermill": {
          "duration": 3.065965,
          "end_time": "2021-10-31T02:40:28.446514",
          "exception": false,
          "start_time": "2021-10-31T02:40:25.380549",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "186/186 [==============================] - 2s 9ms/step - loss: 7.5211 - sex_out_loss: 0.2634 - age_out_loss: 6.4713 - sex_out_accuracy: 0.8767 - age_out_accuracy: 0.0467\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[7.5210700035095215,\n",
              " 0.26335686445236206,\n",
              " 6.471308708190918,\n",
              " 0.8766661286354065,\n",
              " 0.04673527926206589]"
            ]
          },
          "metadata": {},
          "execution_count": 188
        }
      ],
      "source": [
        "Model.evaluate(X_test,Y_test_2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 189,
      "id": "f48f77ba",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:31.129285Z",
          "iopub.status.busy": "2021-10-31T02:40:31.128073Z",
          "iopub.status.idle": "2021-10-31T02:40:32.220175Z",
          "shell.execute_reply": "2021-10-31T02:40:32.219083Z",
          "shell.execute_reply.started": "2021-10-31T02:29:56.275733Z"
        },
        "id": "f48f77ba",
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          "exception": false,
          "start_time": "2021-10-31T02:40:29.763121",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "pred=Model.predict(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 190,
      "id": "f02e3d61",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:34.868951Z",
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          "exception": false,
          "start_time": "2021-10-31T02:40:33.538065",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[28.508175],\n",
              "       [20.844053],\n",
              "       [30.691692],\n",
              "       ...,\n",
              "       [31.761238],\n",
              "       [21.29071 ],\n",
              "       [42.441483]], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 190
        }
      ],
      "source": [
        "pred[1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 191,
      "id": "56ebe1d0",
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          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        }
      },
      "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(History.history['loss'])\n",
        "plt.plot(History.history['val_loss'])\n",
        "plt.title('Model loss')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "plt.subplots_adjust(top=1.00, bottom=0.0, left=0.0, right=0.95, hspace=0.25,\n",
        "                        wspace=0.35)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 192,
      "id": "048c42ef",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:43.493249Z",
          "iopub.status.busy": "2021-10-31T02:40:43.491515Z",
          "iopub.status.idle": "2021-10-31T02:40:43.705330Z",
          "shell.execute_reply": "2021-10-31T02:40:43.704872Z",
          "shell.execute_reply.started": "2021-10-31T02:30:00.037970Z"
        },
        "id": "048c42ef",
        "outputId": "7fb399ae-66c9-44ac-8777-ad1ab54f6144",
        "papermill": {
          "duration": 1.582039,
          "end_time": "2021-10-31T02:40:43.705458",
          "exception": false,
          "start_time": "2021-10-31T02:40:42.123419",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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kPRp82lr3GXCTxFqXTje7bN8RyzX8Y3BvCe3HyXZhQ2U8m94q70IG2c/OEQK6Vh4TiKckNxkyYuR7AImD975anveeC56trNtbEtVCh4iVvfF1yDol1nXkn+V/X3Hb4ZOJcu7BA8VtHrNJrOCQIZIYVlFQc5IlXl2YLa7mRkYLqkZTE6f2wt8vyUXv1F4RqtpQnF/+dVGu3CUf/kUuwFF/1W0cqcckDrXmabE8IlZAqz5yoU48WDlB6PAqcYnaildN/P0yvDekaoHcvRQWT7Gus8TmTAVn/jyyT0POaQjsLa8DusjrvDR5fWqfnFfcdus+mfHgEXh25Q9B/cR6PrWv/PKEPXLhjd1qXfb3y5IYYyuyGXEiIr3mWq1jF0+5IFuwtVDtHcTFGrW2/Gdn+Yxa9pDHDuOt7+kWAGEjwCsYrv5arLOqsl1d/eSxooVaWio3d6mRMPw/1nH6dZBEtdwUGUvaCbkxsNB5irhXYzaJy7bPPLjuJ7GWxzwi52JhwnMixj/cVv47PrVXvkMHa9VBOSyhh/hwuYnxDIJm3vI5zF0Glz5d9X4Alz4FpcXwziB4qzcsnVHe8v/tYfncb/4DLntVzvUns7VrsVBzEstbor8/Iv97l7/RcNnfNaAFVaOpDlMR/LBALmzT3gejFGI2n3m/9Bh4IbT8xWDbB2LFTH0X+l4rReg1uX33fCl/FlLMcfaSYolDntwpd/QtuotQZMSU3z/tuDzmp9XqVIneKOUo6dGV1+1dJok0ljFYslNBXIM1YRH0VhZBNVs2yYfl8bTZbW2bpZoZJ2JzNrTqK48nd5ZfnnVSHm2zdRMPAIZYRRb2fS3Les22LnP2KH+RtrVQQdy5mXFi8ZYd+xA4uoF3mLz2bCWiUloM3adbxStsmGTKVoWbWVAtNbggVuObvST+GdBNfgMWfDvIY+oxybQtzi1vodo7wqgHIXQoTHjeem4zFlWOOTu5yfKc05K5CyLSCXsgsFfV4wUZk0Mzs6AeEvG10GmSlA9Vh09bGPeUNO+Y8LzceO5dZj6nKEluG3AzeIeIG7nLFfK78QqR34uvuXTJYqVGrZXvc9g94N+p+vdtQLSgai4+jqyGpMP1P86+ZWJpTHldLEEHl8ousKo48bckXBxfb10Wv0MueH2uERddSVH14pyfASvvhfUvWZelHAPM8a2E3bKs61SrBVQxjppuLh3Jq6WgJkvLS+Iq1DwWF1itxxN/y2PSIXE1g7h9a+KUOSGppbmG01Lcb3EHWuLAtjcEGXHg3bp2466IRwvwal29oCabBbXEJIk5Di5y0U2PkXMJ/0Tch83DrPtWdPkWZJa3KC0uV1u3b9JBOVdbq6jDBHnscVXtzqWZOckpN1kei/Phj8fAtTmFU94lefbP1gxosNbCphyz3lD5VJi3uP+NcMMqiTufiaB+Ev89+KO4WTPj5QbNcnNUFfYO4jmJ2yqfr62g1obB/wfzvpPH7tPEE1OYI6VSqPKf3eiHZVnoYHlddkMRJVb8qvvApx0M/y+mkqYpLdOCqrm4OLlTUvHfGww//p9kBFZFdmJ5a6UihiFxzoBucmft4CwdayyiUhPxZgGyCB9Y44gg8SJ75+rdvrs+E+si/YTVMko5Knfmg2+X+FGrPpIpG9BVEj0qxlEttZi21k115KeLJQJiOVc8l5JCeR69UcQ+66Q13mYR1NJSyThdfr247H5/1Hrefh2sF3DPIBEoy2df0UItLZXjn62FCiIEJ8PLL7P8Diw3WmlRcl4j7weUlLcsniKft6UBgQXnKly+thaqT1u5wYgyC6qloULFOOPg26WEJahf7c7D3kFE1eLytZzDJf/HLfs6MOS1bSxceYjMfHOc3Ku1/K5Sj5XdUG3P9Ka4HmKSG3apxHDjw8XdC1b3fXUE95fffkkhpf5diUzKodBUy/i8Lb3mSnJYxAqMfV+T6DuQr4/aHCegC8z9CkY9JK992gBKLNQT6+RzGPUQi7YkMOfDreQXncUY6ogW1EZm9OjR/Pbbb+WWvfHGGyxYsKDK7UeNGkV4uFwMJk+eTEZGRqVtnnzySV555ZUa3/fHH3/k0CGra+7xxx/nzz9rWQN4IbPhNbEeBi2A/d9KHKYipSXw5VWw+LLqa/zitsnF3rYDTNhwsTyqy7os29dGUA1D3G/ZCdYLkWMzEdWqBLWkWNzDzmYLyGLJpRyVTFk7e4l7Xf+zLHdylbvw6izU6ly+tslKFuvU0Q1iK1io0RtFsDtNlueW8VjclBZBPbVH4lXx4ZIVu/l/4vI+taf8BViZy2eSImQMSYdFBHKTxQWemyTWu9dZWqgggpURKwkpFizjzE6Qm4JEc4yz/ThJmDn4g8Tf5n0HwRUEz8XTemNTWiIudhfP8tu0G232TBTL952XWrl/rauPJCPZZC4fT85heXgcy8Pj2HAsGaNiDNvNz5qUlBkHwMEcD/4+mkyXQE8+2niCUS+v5fGfDrA1OgPDtx2kRELacUqx45pvE3hyxcHKxz0DxSWlfLA+ilE/2mPCXhpYnNqDoez5ItqdpKyC6ncOtvZb/ibWg3Gvraf7E79x+f828uuB07UfROtB0LwNhb8/jUo7ziune/HQ9/uJSs6xbtNpktUKd3AmzzWIdZs3E7X6fxjNfHkxtiMLV0UQ4OncFCFULaiNzdy5c1m2bFm5ZcuWLWPu3Lln3HfVqlV4e3uf1ftWFNSnn36acePGndWxLhgSD0rSz6AFMPE5sTSSI+QCY8vupXK3nZda3iLb8Boc+F6eb/tAhLnnLOv6NiPlsabGAfnpEh/0DpEmAxkxleOIIG7C5IjKLtODP4qFdumT8vr0frHaUiKtcSAnV4l9WWjZ3WrpWcZgSSSpykI9uROea2WNhVqsxR4zZEy2SSgnNoi7tvNlcmG3fD6BvSS5xlI6Y4mJXvcj3PS7iPwPt0mMtaKLMKCLCHPKUbES25o/14xYcStC/QUVyje8yIq3HjP5sLy/sge/TlKL2X6ciGnIoMrHc/aUbklgtVSdKwrqGBHakzutCUkBXYlJzeXNP4+xan/lWLNhGPxryU7u/3Yf93+7j2s/3l5OcKKSc8i294Jc83dodlu/s6uAFp7OLL91MD/fMYzB7XxZHh7HnA+3sj3LB1PyUU5FRxBf6kuQrydfbIvl8y0xld4/KauAvKLKN5SnMvOZ+vYmnl99GBcPH7aVdKbw4Eo4tZdM97Y88ksUN38eTkFxeYsvPDqNaz/exg6TxG0NFC/uNLikrQ83DWtLkamU25bu5MVfD1NSWguBV4q9vpNwzjtFIU4MmjwfJwc73lkr/89ZBcVc8fZGZr63mSVbY3j8pwNsz/alU/EhQpLX80nuYN7bGM91g0P539y+ODvUsm66HmhBbWRmzpzJypUryyYUj46OJiEhga+++or+/fvTrVs3nnjiiSr3DQsLIyVF7k4XLlxIx44dGTZsWNkUbwCLFi1iwIAB9OrVixkzZpCXl8fmzZtZsWIF9913H7179yYqKor58+fz7bffArBmzRr69OlDjx49uPHGGyksLCx7vyeeeIK+ffvSo0cPDh9ugDhkU7LhNUmNH3SrvO5ojlkd/dW6TX6GZMoG9Zf4maVcI/GgNGL/9gZJRIpYIXV5Tta+y7TqLcevye0bb3Y1DrhFHhN2W11lljgiWONuUTZxN8OALf8TS7TvfEngOL1PxMCUL67TqmjRXYS7wHzRt229V1UMNXKNWIGWzyX5iDRHsMSnLBZ2UZ7EftsMF+scpKTE2Utct56B1huC5MNimTZvIxb41LetCUsVXYQBXUW0I9cA8N5pc1w1I9bq+j3bGCqI2Cs7axy1KA/y0zG1MX/mSRFyM+HbHhxd5L3mfVd9E3pnDxFSw7DGUitaqG1GgLIjbd9vrFoj5zXvlxxGvryO1/88yn3f7CUjr3ybvS1RqUQm5fDE5V3ZcP9ougR68swvh8grMnEqM5/ZH2xhYwKcPh0v+5pvNv48ac8dYzrg4mhP9yAv3r2mHzsfvZRnpnZjV54fpEeTGXuAVOcgfr17BOO6tODpXw6x2izqhmHw2h9HGfjcGro+/htDX/iLhSsPkVtoIimrgKsXbSMuLY/35/Vlxe3DWK/64Zx+FCN6I5tzgwn0cmFffCaP/3QAwzBIzCrgiZ8OcNUHW9hwLIWbf0jA5N6KNOdgMk0OLJzWgwcndWbFnUO5elAI762LYvQr67h1STjvrI2s0h1sGAZv/nmMOw7Kb96+y2RmDu3GvEGh/LQngeiUXB74dh8HE7LIyC/msR8P8PmWGFwDOxFICo6qhOOhV/HgpM48dUU37O2aZjKFRu2UpJSaCLwJ2AMfGYbxQoX1IcBngLd5mwcNw1illAoDIgCLcmw1DOO2eg1m9YPl7+IbgpY9YNILNW7i4+PDwIEDWb16NVOnTmXZsmXMmjWLhx9+GB8fH0pKShg7diz79u2jZ8+eVR5j586dLFu2jD179mAymejbty/9+sld+PTp07nlFrl4P/roo3z88cfceeedXHHFFUyZMoWZM2eWO1ZBQQHz589nzZo1dOzYkeuuu4733nuPu+++GwA/Pz927drFu+++yyuvvMJHH31U30+pPIbRsB1LMk9KvVpGjLRWG3KntWNN81C5eB/9VQrfQTq25KVKY+61z4ugTnwewj8V12O/+bD9A0BVLl63dzS7ateK68+uijveuG1yMe8zTxq5J+yWJAnf9uUvwi26iYV3fK0kKoG49E7tlWbjdnby+zp9QJI7QIS2KsoSkw7K+Czu3mbNqxZUS+lI9AYpu0iOEOs3qL908IndKjcj8dslKzVshHyWXiGQGSvt9pQSUU03Wz7JRyQpxJK9GjpEWuntXlK+qTxIXSLA/uWY7Jz4PLkDC1zASI9GmcyuxPrEUJ3dKW3eBk4fxA4ozTyJHfDAjmY879wMu8RDOCQeoKhFb46ezKSllwu+bk6o6n6XLp5glJKZmYFLTgbOULnMpVlzCvx7ERe+kkKjJWl23phcfHhgYgBdW3ly/Sfb+XRTNPdcav0Ol2yNwdvVkbkDQ3BxtOfpqd246v0tvP7HUbZHp5NfVIJfi2Ackw8z/KW1vOK8k354E9Dck9n9y99wuDk7cO3gMOILRuCw/kc6GjHkdBqBi6M9b87pzdxFW1nwxS6u7N0KF0d7lu2I48rerWjn786BhEwWbTjBqv2ncXawIymrgM9vGki/UPk/cul2GUR8jirOY1txCC/M6cmOE2m8vTaS8Jh0jifnohRcPziMOQNbM/uDrbxbPIW0vGJm9W9NO3+Jnzs72PPctB4MauPDqv2niEzK4beDieyJy+Dda/riaC/2XUmpwRMrDrB0aywz+vbD1OVTHMxu+H+NaMuSrTFc+8k24tLyeXhyZ24Z3paIU9mUGgbdTybAquXQZgQLr7/y7H9DZ0mjCapSyh54B7gUiAd2KKVWGIZhk3PPo8BywzDeU0p1BVYBYeZ1UYZhnCH6fWFgcftaBPXjjz9m+fLlfPjhh5hMJk6dOsWhQ4eqFdQNGzYwbdo0XF2lJdcVV1hT5Q8cOMCjjz5KRkYGOTk5TJgwocaxHDlyhDZt2tCxo/xjX3/99bzzzjtlgjp9+nQA+vXrx/fff1/vcy/H51MleeOKBpogPTdFuqZknRQRa9ENBt9RfpuOEySel58hMbLtH0K/68WK6XyZxIbitkmmZ9epMPklyejNSqi6PV7P2fDdTVJUPqyKZuNx28VidPURMU/YI4Ja0fpRSpI3bJOJLPWQFku2hbno3hK3rE5QW3SXx9P7RcgsFmqrvpXLWkpLxeoEEU5TkYhh21HiSg7shSlmi1wYTmwQt6hl7G2GS2u7FuZkG4/AMpe5kXyYzOY9SE3OIbh5M7YdT+OjhGmkqwHM2p3G1QPdScouYOnWGDq6eTHVPN5I1Y5MRz8KDUfS447S0lWJBVyPWUiOnM4mNs2Xjmm7+P6Po5REreNeoJl/GIfSWuGyax2dS2J4O2Ugb+3dCICrkz3T+gRx07A2tPWvkAFrdu9Of+NXejRL4w2bZRbi0vL4M7Ud1/I9XbyLcPLtzbLrBpetH9+1BZ9uOsHNw9vg4eLI6cwCfj+UyM3D2uDiKDdmA8J8mN4niLvUJ8QAACAASURBVEUb5Pt7f14/BiTtxPj7RyZ38ycoKpV0hwCeuqIbTg5VOxeDO/SC9WCnDDwDxbpzc3bg29uG8M7aSN5dF0lxicHto9tx7/hOZTcR4dFpPPT9fuLT81l8w4AyMQW4cswwjh4MoqPdSYoDejCigx/D2vtxMiOf+PQ8ZvQNZkK3FrQPkDDEm3N6c8PiYlwc7Fk/rrJXZWrvIKb2lglBPtsczRMrDnLXst08cXk3HO3teOSH/aw+cJrbRrbjgYmdUMpaphPg6cLcgSEs3hzNuC4B3DK8LUopurYyfx8mc9y6/01Vfj6NTWNaqAOBSMMwjgMopZYBUwFbQTUAyy/TC6hlL7Oz4AyWZGMydepU7rnnHnbt2kVeXh4+Pj688sor7Nixg+bNmzN//nwKCmoI8tfA/Pnz+fHHH+nVqxeLFy9m3bp19RqrZZq4Bp8iLuuUJKnYOcKYR6vuTVoXSkvgu5tFVOevkq42VU0P1nGi1BlGrZHYqaObNFwHSWhQdtJntTAL+t8gyztcWv37dp8h7uC/FkLb0eXjgyUmcTP2MsfHW/WROjpTftWlBn4dxLouMYllZ6mfs9TTtewhzROO/irWpqtv1WPybCXWYvQGcXennZACfq8ga/KNheQIOdcul0uLvai/RHTNVuNJj174Rixh44rFjIr5EVr1JqnYifikdPqGmQXVkr3qKc3bk5MS8E2P4ZOk/rx1yFoq5O/hTOvmrXjsxwMs+vs4CRn5mEoNlIJJnj44Faaxt7g1z8/sxakf/Ug9cYSWwe51sk6Tsgt4bmUEyTmFPD6lG83dHLlx8Q5usAthbGk47/91kCvso8ABnrl2PKd/2UHgie8ACOkygPd69iUxq4ADCVl8szOeL7fH0jPIi+5BXrTzd8fN2R7nw9lcCbT1KKU4KxMURGbZkxmTTsSpLNZEJLIpMpWhjj24gW8h8wR0Ld+D+M4xHfj9UCKfb4nh9tHt+XJ7LKWGwTWDQstt9+Dkzmw9nsrsASFM7N4StvmhMHhxcgh8mg3+nenQpUX1H4jltwPlalCdHOy459KOTOkZSGxaHmMrHKN/mA+r7hpObqEJb9fyDTXa+rvzs88oQtKXc/n48SilsFfw+uyq7Z1RnQJ4e25f7O0UAZ4u1Y8VuH5IGMUlpTy7MoJV+63x40cv68LNw9tWuc9dYzvg1cyRG4e2qexVCBkMt6yV/71zQGMKahAQZ/M6HqgY8X8S+F0pdSfgBthmzbRRSu0GsoBHDcNogCkkzg3u7u6MHj2aG2+8kblz55KVlYWbmxteXl4kJiayevXqaudBBRgxYgTz58/noYcewmQy8fPPP3PrrRInzM7OJjAwkOLiYr744ouyqeA8PDzIzs6udKxOnToRHR1NZGQk7du3Z8mSJYwcObJRzrscx8yZzqXF0uVlxL31O976F8Vdevlb0iqtOoIHSOnBmmfEFTrxRWvBvJuf/APGbJLklJDB1R/HglIw5Q2I2yGCfuvf1mbeSYdkVhVLy7pWvWHnp/K8qlIDv44Sy8yIEWs4NVI6MlluNiyu3JjNkvFYnUtSKUmqOfC9ZJmmn5CLqauvuLdt3eyWOtNh/5G2e5YWiGZB/ep0K+5VxYzadRclDm4k972baW9vIjGrgO/nD6R3u7FlNxxJyocA4KX3FvEyBl17DeDVdr2ITcujtY8rl/cKxMnejlX7T/PxxuOM7RLA1QNDuPOr3ezJCGQgaSS6duCOnq2IXhuKU3ocRamuOPlUHz/NLTSxMyadjPxi4tLy+GB9FAXFpbg623PZWxto6eVCWm4R48eNwm7tt6y7Pgj7KHfYAcoziMAOfcAsqDMnjQefwLJjPzCxM19ui2Xr8VRW7E0gu0BuKEfZZXOlE7w9ox1JMcWwFm5ZfpQThvx/tfZpxnWDQ5nbfxB8/JKUPFUomekR7MXoTv68/Vckvx88TVRyLqM6+hPiW74RfICHCxsfGIOdJeZnuYnKTZbwRvszJBY285aWhbnJ5Zs6mOnQwoMOLTyq2BEc7e0qiamFnnOf4dcDc5jaOaTm9zdzWc/AM29k5ubhbeka6MmJ1Fzyi0roEujJ0PZ+1W7f3M2pnOu8HEpJP+dzxLmebWYusNgwjFeVUoOBJUqp7sApIMQwjFSlVD/gR6VUN8MwynU3Vkr9C/gXQEhI7b7oc8XcuXOZNm0ay5Yto3PnzvTp04fOnTvTunVrhg6tQRCAvn37Mnv2bHr16kVAQAADBljT0p955hkGDRqEv78/gwYNKhPROXPmcMstt/DWW2+VJSMBuLi48Omnn3LVVVdhMpkYMGAAt91Wv/B0rTj6m2S+Ng+DnYvFXWobgzy9X2KYtZkcOClCmh70uvrMs4rY2Uvbt33LRDQGVHAFdb5MBLX/DbWP7br6SLOHr2aLhdnV7IK3iFWZoNrcJVeMI4LVhZsaaRVUv/Y2reQ6ikVfWlx9QpKFDpdK/WrsVkg7QX7r4exPhIGlxSLylqzg2G3gFoAR2BsV2FMsd4CAzoRHp/HB6Y4M7HwXP51uzhZTZ/LX2GNvZxDo1Yy7VsSy+q7l5BSauOvDrajoZL50gsmuhyAXJo4aBQGVrcvLegaWu8C+P68fm95uzUAO0qn3EOzsFC1DO1KQcYDiNEVh4AAqXvIPnMzkg7+P88eh0xQUW+sqL2nrw8JpPWju6sTClRH8vDeBd67pS4hvKqyFwKJoKE2RbleOLtZGA45u1uYUZvw9nLlrXAfuogOlpQYZ+cXkF5fgeNINvgFnUy6tm0m50a2X9sY/sDXtA9wJ8XG1WkpthotHoUWFGlTgySu68ervR8nML6ZnsAP/Hlv1d2pnm0Bj6eebGilCXRvr3beDCKptc4p6EtrCl9AWIxrseBUZ0t6PITWI6IVCYwrqScD2VjPYvMyWm4CJAIZhbFFKuQB+hmEkAYXm5TuVUlFAR6BctbZhGB8CHwL079+/boVWTcyVV15ZrhasusnEbV220dHRZc8feeQRHnmk8vyTCxYsqLKmdejQoeXKZmzfb+zYsezevbvSPrbv179//3q7j8sozhd3b595ki26/Fo49ru4XEEyKD+7XOJ1d+yoPA1WRda/JNm3ExbWTgS7XiEx0okvVHYL975aYqt9rq3bOVniirYdfpIPS/zPcqH27yI3CV7BVccELe65lKMS602JLF+24eAk3XZO768+fmqhzUgR34ifITuBxREQVZTHQEfESjULqhG3jeMu3Zjx7J+s7DSAoFN7JcPXK4R3f9qJh5sr/a9+nBZp+ax6ZxN+Hg4svWkQpzILmLtoK/d8vYf98Zmk5RXx1PB+sA1GOxySZKYqLKKqCPNzI3fEVDI3bWfEcMm8dQ1oi6vKgVJ4flchB9K38vqs3gR4uhCXlsc1H8nNyoy+wUzqHkhLL2c8XRzx93AuE7NXZ/Xi+ek9JL5oai5jSjKXJlkasvubBbVF1xp7u9rZKXzczNZaodljUJhVluU7Z3h3EeiKdJ8hiWWWxCsbQn3deGtuHV2RFm+KpfTKM+jM+wT1lRKnM02DpmlwGrNsZgfQQSnVRinlBMwBVlTYJhYYC6CU6gK4AMlKKX9zUhNKqbZAB+B4I45VU1/So8s3B4/fCetflvhg9EbpeNJxgjQI8AiE7Yus225fZK2d/PXBysf++2Vx2ZaWSiOAgz/AwH+dWXgtdJoM/4kwT7VVgWbNpWF3bVqxldvPW8TTtgdteoxkw1pE3sEJOo633jhUxNVHLKeUo3LTkRlXPgYGkpgEVQpqRl4R20+kEZeWR5GDO5kB/SkIl4mh012C6d5OCt7/3Cl1psmnY1HpJ/jqdCuKTaW8eCSg7NgRiTn8dTiJG4aE4erkQKeWHvx+zwh+uXM4ob5uXNLWl5uGtuG3g4kYwLe3DWH2GLP4Z8ZK3Wkdmtl3G3M1Xo+doJmHuc7a2+ph6tujO7tjM5j1wRaiknP415KdGIbBijuGsnBaD4Z18KN9gAcBni6VYmhlyToOTvJZJkWIq9Ri2Xm2EquvLjE2S3Z2QZaUJtk7VS2mIHXL/z1ceR7Rs8XSIN9SelWb+tyxj8PN/4AmLuchjWahGoZhUkrdAfyGlMR8YhjGQaXU00C4YRgrgP8Ci5RS9yAJSvMNwzCUUiOAp5VSxUApcJthGLVsSqppchL2wIcjYfh/5Z85K0HmWcxLkZ6iji7iYgsdJsk3/W+Ctc9KklDXKyULt8N4ucitfxG6zxQhAnEPW5pzZ8RKzNHRtXI2b00oJTWTDU3zEGvZCMhNRcXepbOX1nwMv47mzjYnAKOyoLbqDXu/LNfc+5d9CXy04QT74jOwrY+/xb4NjzhK1u09sybgqEphMSxbv4cPo7zxif2N9x2h37AJzO47lDlv52OytydGBTPvo214ODtw3eCwsuO19ilv4dw7oROtfVyZ1KMlAR5mQbH0ua1v83Eb9+uEoQNZMrg98z/ZwYTX/6bEMPhk/gBCfd1qOEAV+HeWTk356ZL9DPJbuOmP2t+MgdVdXphdue1gY2MZ5ymzhepVCwvVwbn62WA0jUqjxlANw1iFlMLYLnvc5vkhoFIA0TCM74DvGnNsmgbE0m1ow6ty93/wB7G4+t8ozcaVncyDabmrH3Y3xG6GFf+WRvb5aTDyQen4c+gnmZJp1APSJGDlvdIEIXSIVViH3QNu1WS8NiXeodYZRkpLxf1bjTVqGAaGUSE+BhIzPbxK+o4CfyR50Nmc1ANIjNi3fVl7tRV7E7hr2W46BLhzx5gO9G7tRXJ2IfHp+fRznQN/ygw1zVp0KKtBDW1WyMa8Yu4PTaY00ZlJl04EB2cenT6Af39zO0dOtKZDG3cem9IVL9cqMqXNuDjac/2QsPILPQLNglrZxVknbOOZXsH08/Thy1su4dYl4Vw/JIzRnc4iKzygKxz60XxMGyGq2DD+TDhZBNXs8q3Y1KExsXcUL0pusrj03eqZHa9pVM51UlKjYxhG9QXbmjpjGIZMY2Yqsrr4Tu6SMo1Wfa0u25mfQLfpMpXT1neg82TrQewdYdbn8OlkaRXYfpy1f+qMj+HHBbDyv/K6eRtZ5uoDLt5StjH4zqY74ZrwDrHOg5lzWqzn5qFEJeewev8pWvu40jekuRSur4vieHIOt45sx4KR7WjmZE7I8usIeZ+TFbkFT+DuP7IpWbeeO8d04ObhbXB2bFbWN/evw4n85+s9DAjz4bMbBlqPYcHoCDtaixVlM03WY2NawCUjYMnrEpM1Wy/T+gRTZLqFGe7OjOkccHb/J56tIOVI/S1UNz/5rZSaZLJrJDN204Njzv7/N8BG5GsTe6wOOzsR1YKsprdQQdy++enyWTdFQ1rNWXNRC6qLiwupqan4+vpqUW0ADMMgNekULic3Q/RimPyyrEjYLf1TZ3wsc3UG9pTkDJDEoW5XShceW5w94JpvZVaS4f+1Lm/ZXUpRTu6UMpB+861ur4G3yN95QGJWAbviHZlUnEtE1AkcMyJpD7y8vZB3vltfafu2/m6M7OjPW2uO8d3OeN6b15eewd5lsdHUnT9RoJrz2PSB/H0smZd/O8LvhxJZctNAPF0c2RKVyoKlu+gS6MnH1/evLKYg7kxLHapSkgil7KzdklIiKzWYmD2gntnxZck+9bRQlZIbFFNBOdGo1/+tv437vT6CCtZJxpvaQgW52Ug9Vr/uUZom4aIW1ODgYOLj40lOTj7zxpozY5Ticjqc4B3Pgos7THpJLjCpx6SDkJMrXF1+IgCUspaRVMSjhUxiXBFLF6Hg/pXXnQdEp+Qy7+NtdM1yYJIjPPDxL7RXJ3nNCbale3DPuI7MGdia5OxCdsWm09LThXFdWmBnp9gSlcq93+zluk+2s/zWwRQVtaA70EYlUBA0hDkDQ5gzMIRV+09x17LdXP/Jdu4b34lbPg8nxMeVz24ciIdL9W5ZhthY73b2YtXnp0k/28xY8DtDmVFd8W0nMe2Ksd+zoe0oaYLRUPi0lQSikqLaxR5rwtIgvyCr6g5ajYmlFlUL6nnPRS2ojo6OtGlTx3iJpmpMRbBkmvR37TlberQmH5GSE4Cgc9OZpDFIyiogPCadyKQc0nKLuHFom7IC/P3xmdyweAelhsG9sy6FH17lsWFueGXbYxxWfPPALJQ5VtzC04XuQeXLZQa38+WrWy5h5vubmffRNoqLi9mGA06YcGlpzeSd3CMQO6W4/ctdXP3RNlr7NGPJTYOspRy1xdVHymYsXZjOVM9aVwYtkMSy6rJe68Lkl868TV2wdxAPQOIBifXWB2ezy7cwq15tEc8KSy1qfa1sTaNzUQuqpgHZ8wXEbIRpH0DYMBHUyD8k5gUSP73AWbY9lq/D49gda52D1tFe8cPuk7w5pzdRybm8uPowfu5OfH7TJbT3lAYDA7xzoDBVLni1EJYQX1eW3jyIWR9swcnREeXRDtKOVLLyJnZvydtz+7B4czQvz+xFS6+zEC1XX3H5plga7DewoDq5Nr3FVhda9pA+zvXNenXxlM+x4FwIqrl0Rluo5z1aUDVWTEWQuN86n6SF0hLY8ra0z+s5W1yy/l2kS5Czp3RkqUsZQiNTZCrF0V7VKf62eNMJnvz5EF0CPbl3fEdGdPSnfYA7ydmF3LpkJ/M/lYby47oE8NLMXlZLsVlzKZ3JMNeg1pKOLTz47e4R2NspHFd2qlJQASb1CGRSj3pYV818ZNqvlGOAknrRfxKXPn3mCeFrg7OHlIAVZZ+bpCTQgnoBoAVVI6Qck960p/bA1cutc4kCHFklLsOZn1ibFrQfK31gmzWH0JpbJzYl2QXFjHx5HdcNDuXucdV3FzKVlJKUXUgLTxfWRCTy1C+HuLRrC96f16/c3Imhvg788H9DeeX3I4T5uTFvUEh5ofYOkfrY9GjrHKe1pIWlcbilaYNvA1uPIBbq6X0S524e2jCu2QsJ94D6T8QAIqKWuV+bOinJMjfsP+1m6AJEC6pGakG/vVHcYs18pHORraBuekuEo8tU67L248RqzUk8ZzM7VMXKfadIyy3i7b8imdCtJV0CK1/80nOLuPaTbRw4mYWjvcIwoGewN2/N6VPlRMTNnOx5bErl3qyAfC6n9smMLd61t1DL0WOmZJDWtT6yNrg2lxhqytEzty/UVI+Lp2QgQ9NbqB0nSea7XwMkfmkaFV3UpIF1z4s7acFmaekX+ae4t0Carcdvl85E9jb3XyGDJbsTzunsDhVZHh5HmK8rns0cefD7/ZSUlm/xnJxdyNxFWzmamMN9Ezpx07C2zLsktPpSlDPhHWrt53u2zcgDukhCTlUTlteXZj4iBJYJwDVnh62INrWFamcn8/dqznu0oP7TyYiVPqF95klNYb/rpXYx/FPpW7ryv3JR7jOv/H6OLtLoHtUg/+wpOYVk5BXVeb+cQhOZeTIDSGRSDrtiM7h6UAiPT+nK3rgM3lpzjLwiE6WlBiv2JjD9vU3EpObx6fwB3D66PQ9O6syTV3TDz/0sk1ZsrdIGnN2jwbCUXJQUNXxC0j8JW0FtagtVc8GgXb4XI4YhrliPlmfe9rC5M2TnKfLo2Uq6Gu1eKg0bkg/DNd/I7C4VGfmAxFKdq55fsbaUlBrMen8Lns0c+eH/htQ6mWh/fCa3fB6OqdTgi5sH8f3ueOztFNP6BOPn7sQv+xJ4c80x3lsfhb+7Mycz8unUwoOlN/emX2gDJVHZNHWvS1JSk2GbLKZdvmePyzm0UDUXDFpQL0Z2fgqr7hMX7plawh3+RTJ2bUsfBtws04BFb5AymeqSbYL7WVsG1oNfD5zmeEouANtPpDGobc19ek0lpfy8L4GHvt+Pr5szBgZzPtyCUooxnQPw9xBr8715/dh+Io01EUkcS8rmgUmdmdIjsHI/3fpgEVQHF2m/eL7havNZakE9e2xvGp2buGxGc8GgBfVio6QYNrwu9aE7P4OJz1W/bV4axGyWZvO2tBkJPa6C1oOg15xGHa5hGLy3PpIwX1eyCkws2nC8WkHdejyVL7bFsv5IElkFJvqHNuf9a/uRW2ji6kXbOJmRz1X9rKUFjvZ2DG3vx9DGnLjYIqjeobWfoLwpaWa2UF28rPWMmrpzLmOomgsGLagXGwe+kxZz3iGw9ysY90T5ovbDq2Dru+KuzYwDowQ6X1b+GErBjI+aZLibIlM5cDKLF6b34FRmAW+uOUZUcg7t/N3JzCsmKiWHE8m5fB0ex/YTaTR3dWRCt5aM6RzA2C4tcHKww8/dmW9uG8yaw0mM7dLEVqKzu1iB52P8FKwWql/H81PwLxTKWahaUDVVowX1YqK0FDa+IdNWjX8Gls4Q122PmRJX3fiaTNRt5wCfXS4xVs+gRi17ycwv5q5lu/nPpR2lGbwNxSWlvLsukgAPZ6b1DSK7wMT766N4bmUELo72/HrwdFmWboCHM49P6crVg0JwcaycDdvKuxnXXnKOYpjjniofSz2fsMw6o9299cPSHammycU1/3i0oF5MHPsNkiNg+iJoO0Yu8rs+k8Shn++WuSG7z4BJL8Oap2TdoAWNarmsO5LEuiPJHEvMYeW/h+Ht6sTmyBTeXhvJ7tgM8otLeHhyZ5wd7HF2t2dGv2C+3BaLp4sDNw4N45K2voT6uhHq64qj/XmalN732nM9guqxd5CSJ9u6Yk3dsVil2jrV1IAW1IuJ7R+CV2uZh9TODvpcB2ufhXcHywTF456EoXeLgF7xliQf+bRt1CFtiUrF1cmepOwC/rN8LyM6+PHMyghaebswe0BrLmnrw/iu1mzkByZ2Zkg7X8Z0DsDVSf88G4QJC8/1CC58LC7fpu7jq7mg0FesC429X8vE3t2mlV9enA/Rm2S+UEsDhj7XwN8vScnLnC8rN2AI7Nnow90clcowc2LQEysO8tfhJMZ1acEbc3rj7lz55+fVzJEpPVs1+rg0mjrh6CLuXp2QpKkBLagXElkJ8PO/pbNORUGN2QwlhdButHWZZyu4fbuUczi5Nu1Ygbi0PGLT8rhxaBjXDQ4lITMfNycH7hjdvmFLVzSapsDZQ7t8NTWiBfVCYsOr0kYuO7Hyuqi/wN4ZQoaUX94Y/WFryZaoVACGtPdDKcVDk7qcs7FoNPWmWXNrkpdGUwVaUC8UMmKlrtTeCXKTJKPXziZJJ2othA5uVEv0WGI2KTlFFJhKCPJuRnt/90qW5s6YNAI8XGjt48rmqBT83J3pEODeaGPSaJqMK94+r6Yp1Jx/aEE938lNkSYN616QZKJLFsCmN2UGEXd/2Sb7NCQdhF5PN9owXv/jKG+uOVZumberI0Pa+XJVv9b0CfFm4coIvtkZT4CHM98tGMLmqFSGtPOt07ykGs15S+jgcz0CzXmOFtTzmT1fwY+3WV8PvNU6+Xf2KaugRq2Vx7ajaSi+CY/DycGOsV1a8MXWGN5cc4zpfYKY2T8YZwc7jifnsiNa2vqt2n+6bNqz6weH8v3uk8z6YAtJ2YUMaVdzG0GNRqO5WNCCej6TsBsc3WDCs9KMoeuVkBQh63Js4qhRf4GbP7To3iBvu2r/Ke77dh8ATg52FJlKubxXK16+qleZcPYL9eGq/q0pMpXyZ0Qim6NSuKpfa3q19mZSj0Cu+3g7AEPa6XZ3Go3mn4EW1POZ9GjwbQv9b7Qus8wgk31aHktL4fhasU7t6t/4ICEjnwe/20ev1t48MrkLq/afAuCRy7pUOfm2k4Mdk3sEMrlHYNmyS9r68sG1/dgRnUZrn2b1HpNGo9FcCGhBPZ9Jjwb/Ci3jLDOaWAQ1K16aNtQjvlNkKmX/yUyKS0p5/Y+jlJQavDm7N2F+bgxsc3ZJGKM7BzC6c8BZj0mj0WguNLSgnq+UlkJGDHQcX365owu4eEOOWVDTjsuj79lNHm0YBjcu3sHGyJSyZS/P7EmYXxXzn2o0Go2mWrSgnq/kJErNaVWzmHgEWi1Ui6CeZQvBFXsT2BiZwp1j2jO4rS++7s50alm/CcM1Go3mn4gW1POV9Gh5rFJQW5QXVAcXEdk6kl1QzMKVEfQM9uLucR2rjJFqNBqNpnZoQT1fKRPUKjodubeE1E3yPO2EbFPLhKTiklJyCkwkZOazeFM0yTmFLLquvxZTjUajqSdaUM9X0k8ASmaPqYhHS7FQDUMs1CrcvQXFJUSn5nI0MYcdJ9LYHJVCTGoeJvP8ohauvSSUXq29K+2v0Wg0mrqhBfV8JT0avIJlZpmKeLSE0mLplpR2AtqNKbd6c2QK8xfvoMhUCoCbkz0D2vgwvltL3JzscXVyINDLheDmrnQP0s2+NRqNpiFoVEFVSk0E3gTsgY8Mw3ihwvoQ4DPA27zNg4ZhrDKvewi4CSgB/m0Yxm+NOdbzjvToquOnYC2dSdgDpvxKFuoHfx+nuasjj1zWlXb+bnRs4XH+Ts6t0Wg0FwmNdpVVStkD7wCTgK7AXKVU1wqbPQosNwyjDzAHeNe8b1fz627AROBd8/H+OdQkqJbmDjESR83zCC1blZCRz9/HkpnVvzVX9GpFt1ZeWkw1Go2mCWjMK+1AINIwjOOGYRQBy4CpFbYxAIvP0QtIMD+fCiwzDKPQMIwTQKT5eP8MivKkbOaMgroZgCu+PMXzq6Ql4bc74zEMuKpfFbFXjUaj0TQajenyDQLibF7HA4MqbPMk8LtS6k7ADRhns+/WCvsGNc4wzzEFmZB0GEJsPpqMGHms1uVrFtSEXZiUI8eLvIn8+ziD2vqwPDyOIe18CfFt+gnFNRqN5p/MufYFzgUWG4YRDEwGliilaj0mpdS/lFLhSqnw5OTkRhtko7LiTvhkAqRGWZfVVDIDMuepsyeUFBFd6s+cQWF0bunBgqW7iE/PZ/YAbZ1qNBpNU9OYgnoSsL2yB5uX2XITsBzAMIwtgAvgV8t9MQzjQ8Mw+huG0d/f378Bh95ExGyBQz8BBmz/0Lq8pqYOFsxu31ijJXeP7cD/5vZBKfBq5siEbi0bdiMT4gAAIABJREFUa8QajUajqYbGFNQdQAelVBullBOSZLSiwjaxwFgApVQXRFCTzdvNUUo5K6XaAB2A7Y041qantBR+ewg8WkGXy2H3F1CQJevSo8HJA1wrN6bfE5fBu+siiS2W0LNryw4EeLrQoYUHn90wkHeu7ouL4z8rf0uj0WjOBxothmoYhkkpdQfwG1IS84lhGAeVUk8D4YZhrAD+CyxSSt2DJCjNNwzDAA4qpZYDhwATcLthGCWNNdZzwv5vZL7TK9+XGWUifoY9X8Cg2yDlqFinqnz3opJSg/9bupOEzAJaOToRYg/duvcuWz+orZ7MW6PRaM4VjVqHaq4pXVVh2eM2zw8BQ6vZdyGwsDHHd87ISoDfH4HA3tBztrQNDB4I296HExtkwvABt1TabWNkCgmZBbw5pzeXJ/aFLZvxaNWxijfQaDQaTVNzrpOS/nmYimD5dVIaM+19aw/eSxaIqzdqDVz6DEx8odKuX++IpbmrIxO7t8TO05z0fJazzGg0Go2mYdGtB5ua3x6C+B1w1WII6GJd3nUqTH5F2gj6tqu0W2pOIX8cSuS6wWE4O9iLZevsXn0msEaj0WiaFC2oTcmeL2HHRzDkTug2rfw6O3sYWNnNa+GH3ScpLjGsJTFuvtD3ukYcrEaj0Wjqgnb5NhUJe+CXeyBsOIx9sk67GobB1zvi6N3am44t9OTfGo1Gcz6iLdTG5OQuadjg7A6r7wdXX5j5KdjX7WNfeySJY0k5vDijRyMNVKPRaDT1RQtqY1FigqXTIT9dXts7wQ2/gnvdGlCUlBq8sPowYb6uTO8b3AgD1Wg0Gk1DoAW1sUjYJWI68UUI7i9TrnnXvSXgdzvjOZqYw7vX9NWzxmg0Gs15jBbUxiLyT1B20Gs2NGt+VofILyrhtT+O0ru1N5O663aCGo1Gcz6jTZ7G4tgfEDzgrMU0Li2PWz4P53RWAQ9P7oKq0DVJo9FoNOcX2kJtDHJTpK3g6IfrtNuu2HQOJmQRnZLLV9tjUcBz03owsE3lnr4ajUajOb/QgtoYRK0FDGg/tta7bI5M4eqPtgHgaK8Y2dGfp6Z2J8i7WSMNUqPRaDQNiRbUxiDyDymRCexTq80Nw+D1P4/S0tOFH24fQgsPF+zstItXo9FoLiR0DLWhKS2FyDXQbqy1T+8Z2ByVyo7odP5vdDsCvZppMdVoNJoLEC2oDU3sFshLgfbjarW5YRi8/odYp2VtBTUajUZzwaEFtaFZ/yK4+kHny864aX5RCR9vPEF4TDq3j24nTe81Go1Gc0GiY6gNSfRGOLEexi+UdoM1sGRLNK/8fpTM/GL6hHgzS1unGo1Gc0GjBbWhMAz4ayG4t4QBN9W4aW6hiWdXRtA9yIv7JnRiUBsfXWeq0Wg0Fzja5dtQHF8LsZthxL3gWHOpy7ojyRSaSrl3fCcuaeurxVSj0WguArSgNhQRP4OzV63mKP314Gl83Zx0wwaNRqO5iNCC2lDkJIFXEDg417hZQXEJf0UkMr5bC+x1eYxGo9FcNGhBbShyksDtzFOzbTyWQm5RCRO7BzbBoDQajUbTVGhBbShyk8A9oMpVxSWlJGYVALD6wGk8XRwY3Na3KUen0Wg0mkZGZ/k2FDlJ4Fa1oD724wGW7Yije5AnMSl5XNqtBU4O+l5Go9FoLib0Vb0hKMyB4rwqLdQ9cRks2xHHyI7+ONrbkVNkYnqf4HMwSI1Go9E0JtpCbQhyk+SxgqCWlho88dMBAjyceeeavrg7O1BQXIKLo+6IpNFoNBcb2kI9GwwDEvbII0BOsjxWcPl+szOOvfGZPDS5M+7Ocu+ixVSj0WguTrSgng1Hf4UPR0L8DnldZqFas3xNJaW89sdR+oU258reQedgkBqNRqNpSrSgng2HfpLH5MPymGMWVBsLde2RZBKzCrltZDvdCUmj0Wj+AWhBrSslJjiyWp6nx8hjbjKgwM2vbLOvd8QS4OHM6E5nrk39//buP86uur7z+Os9dzKZmQSSQBIEQknEIOIPQKesStcqVoxVibtaDboPsevK6oq11odbXPdhlfYPq32sVsta0aLurooVrU0tFVnwR1dFEygiiURCYE2yCZlASCYzycz98dk/znfCyc29M2fivbl3Mu/n4zGPe8/3njPzmZPMvOf7Pd/7PWZmNvs5UGfqVz+Cw09kz/c9kj0efBQGT4PSPAB27z/MnQ/s4XXPW0FvyafYzGwu8CzfmXrgH6G3H57ynFygHv0e1K/fs4NawOuHfEs2M7O5wt2nmYjIAvW8y2H5M54M1NHhIxOSarXgqxu284Knns7KpQs6V6uZmZ1QDtSZ2PUz2L8dLnglLFkJY3thfOSoHuqnv/8Qv3p8jHWXundqZjaXtDVQJa2RtEXSVknXNXj945LuTR+/lPRE7rVq7rX17ayzsC23gnrg/DVZoEI2MWl0GBaewed/+DAfu20Lay8+i1c956yOlmpmZidW266hSioBNwAvA3YAGyStj4jNk/tExHty+78LuCT3KQ5FxMXtqu+4DD8Ap52XzeadDNQ9m2HiIJtH5vPh723migvP4C9+7yLfms3MbI5pZw/1UmBrRGyLiAngZmDtFPtfBXyljfX8+kZ2w6nptmuTgZoWd1j/YJlnnnUqn3rjJczzzF4zszmnnb/5zwa257Z3pLZjSDoXWAXcmWvul7RR0l2SXtPkuGvSPhuHh4dbVXdzI7vglBSoA0tg/iLY/lMAHjg4wNt/+zzm93ppQTOzuahbulLrgFsiopprOzcihoA3Ap+QdF79QRFxY0QMRcTQsmVtXkAhAkYehYVnZNsSLPkNePT+bHvBMl7xrKe0twYzM+ta7QzUnUB+quuK1NbIOuqGeyNiZ3rcBnyPo6+vnniH9kF1/MkeKmTDvrUKAC/9zWd7EQczszmsnQmwAVgtaZWkPrLQPGa2rqQLgCXAj3NtSyTNT8+XApcBm+uPPaFGdmePp+R6oZPXUYErX3jRia3HzMy6Sttm+UZERdK1wG1ACbgpIjZJuh7YGBGT4boOuDli8l5oADwD+IykGlnofyQ/O7gjRnZlj7ke6uGF59APjJYWsWjhYGfqMjOzrtDWpQcj4lbg1rq2D9Ztf6jBcT8Cnt3O2masQQ/17pFFXAb0nLK88TFmZjZn+KJfUQePDdRv/Wo+AP2LPRnJzGyuc6AWNbIb+hfBvAEA9h8q8/ePlAiEFrqHamY21zlQi8q/BxX4zqbdjFVL7F/5clj12x0szMzMuoFv31bUyO6jhnv/8ee7WLFkgEVX35y9J9XMzOa0aXuokl4tyT3Zkd1Heqj7Rif4Pw/u5ZXPORM5TM3MjGJDvm8AHpT00fSe0bkn4qge6k8efoxKLbjiQk9GMjOzzLSBGhH/jmyVooeAL0j6cVpD95S2V9ctxh6HWhkWZgH6wO4RJLjwzFM7XJiZmXWLQkO5EXEAuIXsjjFnAv8GuCfdcu3kd2RRhyxQt+we4dzTBhno80L4ZmaWKXIN9UpJf0e2nu484NKIeAVwEfDe9pbXJY4s6pBdQ92ye4SnP2XudNDNzGx6RWb5vhb4eET8IN8YEWOS3tqesrpMrod6uFzlkcdGedVFZ3W2JjMz6ypFAvVDwK7JDUkDwBkR8UhE3NGuwrpKbpWkB3cfpBZwgXuoZmaWU+Qa6teAWm67mtrmjpHd2Q3Fe+fzwO4DAB7yNTOzoxQJ1N6ImJjcSM/72ldSF8q9B3XL7hHm9/aw8vQFHS7KzMy6SZFAHZZ05eSGpLXA3vaV1IVGdj05w/fREVafsZBSjxd0MDOzJxW5hvp24EuS/goQsB14c1ur6jYjj8KybE2LB3aP8KLVyzpckJmZdZtpAzUiHgKeL2lh2j7Y9qq6SQQcfBQWLufx0QmGR8Y9IcnMzI5RaHF8Sa8Engn0T65dGxHXt7Gu7nF4f7ZK0oJlnpBkZmZNFVnY4a/J1vN9F9mQ7+8B57a5ru4x9lj2OLiULbtHAL9lxszMjlVkUtILI+LNwL6I+DDwAuD89pbVRUaHs8cFp/PgnoMsHpzHslPmd7YmMzPrOkUC9XB6HJN0FlAmW893bhhNE5oHl7J7/2HOWjTgW7aZmdkxigTqP0haDHwMuAd4BPhyO4vqKmMpUBcsY8/IYZaf6t6pmZkda8pJSenG4ndExBPA1yV9C+iPiP0npLpuMNlDXbCUPQd+4Vu2mZlZQ1P2UCOiBtyQ2x6fU2EKWaD2nUK1p4/HRidYfkp/pysyM7MuVGTI9w5Jr9VcvXA4thcWnM7joxNUa+EJSWZm1lCRQP2PZIvhj0s6IGlE0oE219U9RvfC4FL2jGRzs5Y7UM3MrIEiKyXN7Tddju2FU1ewZ2QcwJOSzMysoWkDVdKLGrXX33D8pDX6GJx5EcMHUqD6GqqZmTVQZOnB9+We9wOXAncDl7elom4SkS3skBvy9TVUMzNrpMiQ76vz25LOAT7Rtoq6yfiBtI7vUvYMj3Nqfy/980qdrsrMzLpQkUlJ9XYAz2h1IV1pNLeow4Fxlp/q4V4zM2usyDXUTwGRNnuAi8lWTDr55RbG3zNy2DN8zcysqSLXUDfmnleAr0TED9tUT3fJLYy/Z2QfQ+cu6Ww9ZmbWtYoE6i3A4YioAkgqSRqMiLHpDpS0BvhLoAR8LiI+Uvf6x4GXpM1BYHlELE6vXQ381/Tan0XEF4t8Qy2Vhnxj8HT2jOz2kK+ZmTVVJFDvAH4HOJi2B4DvAC+c6iBJJbJlC19Gdt11g6T1EbF5cp+IeE9u/3cBl6TnpwF/AgyRDTffnY7dV/D7ao20MP6BnsVMVGoe8jUzs6aKTErqj4jJMCU9Hyxw3KXA1ojYFhETwM3A2in2vwr4Snr+cuD2iHg8hejtwJoCX7O1Rh+DvoUMH85WXfRbZszMrJkigToq6bmTG5KeBxwqcNzZwPbc9o7UdgxJ5wKrgDtncqykayRtlLRxeHi4QEkzNDoMg6ezx4s6mJnZNIoM+f4h8DVJ/w8Q8BTgDS2uYx1wy+R12qIi4kbgRoChoaGYZveZG9ubvQc1LTvoHqqZmTVTZGGHDZIuAJ6emrZERLnA594JnJPbXpHaGlkHvLPu2BfXHfu9Al+ztUb3wilnPrkwvtfxNTOzJqYd8pX0TmBBRNwfEfcDCyX9pwKfewOwWtIqSX1kobm+wee/AFgC/DjXfBtwhaQlkpYAV6S2E2vssSOLOvTP6+GU+UU69GZmNhcVuYb6toh4YnIjTRJ623QHRUQFuJYsCH8B/G1EbJJ0vaQrc7uuA26OiMgd+zjwp2ShvAG4PrWdOBFZD3XB6ewZGWf5Kf3M1VvCmpnZ9Ip0uUqSNBl46e0wfUU+eUTcCtxa1/bBuu0PNTn2JuCmIl+nLcZHoDruVZLMzKyQIj3UbwNflfRSSS8le2vLP7W3rC4wNrmObzYpyddPzcxsKkV6qH8MXAO8PW3fRzbT9+Q2mtbxXbCMvSPjLHva0s7WY2ZmXW3aHmpE1ICfAI+QLdZwOdk10ZPboeySbQws4eB4hVP653W4IDMz62ZNe6iSzidbvegqYC/wVYCIeEmzY04qley9p2X1UQsY6PN9UM3MrLmphnwfAP4ZeFVEbAWQ9J4p9j+5VCcAGK9lp2jANxY3M7MpTDXk+2+BXcB3JX02TUiaO+8bqVUAOFzLTpF7qGZmNpWmgRoR34yIdcAFwHfJliBcLunTkq44UQV2TDVbDGqsmv0N4R6qmZlNpcikpNGI+HJEvJpsCcB/IZv5e3JLQ77uoZqZWRFF3od6RETsi4gbI+Kl7Sqoa6Qh30PVFKjuoZqZ2RRmFKhzSv2Qr3uoZmY2BQdqM2nId6ySBal7qGZmNhUHajNpyHfUPVQzMyvAgdpMtQyIQ+nOr+6hmpnZVByozVQnoNTHoXIVgEH3UM3MbAoO1GZqFSjNOxKo/e6hmpnZFByozVQnoKeXwxNVJJjf61NlZmbNOSWaqZah1MfYRJWBeSWkubPqopmZzZwDtZla+ciQr6+fmpnZdByozVTL0NPLoXLV10/NzGxaDtRm0pDvoTTka2ZmNhUHajMe8jUzsxlwoDYzOeQ74SFfMzObngO1mckh33LVyw6amdm0HKjNTA75TnjI18zMpudAbab65DVUD/mamdl0HKjNVMvQM4/DZc/yNTOz6TlQm0lDvmN+24yZmRXgQG2mWib8thkzMyvIgdpMtUxNvURAvwPVzMym4UBtpjpBhV7ANxc3M7PpOVCbqVWoKAtUD/mamdl0HKjNVMtUyILUb5sxM7PptDVQJa2RtEXSVknXNdnn9ZI2S9ok6cu59qqke9PH+nbW2VB1gkp4yNfMzIrpbdcnllQCbgBeBuwANkhaHxGbc/usBt4PXBYR+yQtz32KQxFxcbvqm1atQllZkA72te00mZnZSaKdPdRLga0RsS0iJoCbgbV1+7wNuCEi9gFExJ421jMz1TITkQXqQJ9Hxs3MbGrtTIqzge257R2pLe984HxJP5R0l6Q1udf6JW1M7a9p9AUkXZP22Tg8PNza6qsTlMPXUM3MrJhOj2X2AquBFwMrgB9IenZEPAGcGxE7JT0VuFPSzyPiofzBEXEjcCPA0NBQtKyqWhUIJmJylm+nT5OZmXW7dvZQdwLn5LZXpLa8HcD6iChHxMPAL8kClojYmR63Ad8DLmljrUerlgEYj+z0eFKSmZlNp52BugFYLWmVpD5gHVA/W/ebZL1TJC0lGwLeJmmJpPm59suAzZwo1QkAJmrpGqoD1czMptG2scyIqEi6FrgNKAE3RcQmSdcDGyNifXrtCkmbgSrwvoh4TNILgc9IqpGF/kfys4PbrlYB4PDkNVRPSjIzs2m09eJgRNwK3FrX9sHc8wD+KH3k9/kR8Ox21jalySHfag+lHtFXcqCamdnUnBSNpCHfw7UeBuaVkNThgszMrNs5UBupZT3UQ7WS3zJjZmaFOFAbSUO+h6s9XhjfzMwKcaA2kgJ1rNrjGb5mZlaIA7WRySHfao9vLm5mZoU4UBvJ9VAH3UM1M7MCHKiN5Id83UM1M7MCHKiNpCHf0Yp8DdXMzApxoDYy2UOtyG+bMTOzQhyojaRAPVjx22bMzKwYB2ojacj3YFm+hmpmZoU4UBupTl5D9c3FzcysGAdqIylQJ+j1kK+ZmRXiQG0kDflWotezfM3MrBAHaiPpbjMVSg5UMzMrxIHaSDW7wfgEvZ6UZGZmhThQG5kc8nUP1czMCnKgNpIf8nUP1czMCnCgNpKGfMse8jUzs4IcqI1UJwh6qNHDgr7eTldjZmazgAO1kVqZWk8WpEsG53W4GDMzmw0cqI1UK1SVBekiB6qZmRXgQG2kOkGFEoN9Jeb3+hqqmZlNz4HaSK1MRb0sHnDv1MzMinGgNlKtUI5eFg32dboSMzObJRyojVQnKNPjHqqZmRXmQG2kVmYielnsCUlmZlaQA7WRapnxWg+LPeRrZmYFOVAbiGqZ8Si5h2pmZoU5UBuoViaYiJKvoZqZWWEO1Aaq5QnK+BqqmZkV50BtoFIepxIlFg34GqqZmRXT1kCVtEbSFklbJV3XZJ/XS9osaZOkL+far5b0YPq4up111qtVyu6hmpnZjLTtViqSSsANwMuAHcAGSesjYnNun9XA+4HLImKfpOWp/TTgT4AhIIC707H72lVvXq0yQZkBzvQsXzMzK6idPdRLga0RsS0iJoCbgbV1+7wNuGEyKCNiT2p/OXB7RDyeXrsdWNPGWo8SaS1f91DNzKyodgbq2cD23PaO1JZ3PnC+pB9KukvSmhkci6RrJG2UtHF4eLhlhUe1QpleFnmWr5mZFdTpSUm9wGrgxcBVwGclLS56cETcGBFDETG0bNmylhWl6gQ19dI/z3eaMTOzYtoZqDuBc3LbK1Jb3g5gfUSUI+Jh4JdkAVvk2PapVejp9fVTMzMrrp2BugFYLWmVpD5gHbC+bp9vkvVOkbSUbAh4G3AbcIWkJZKWAFekthOiJ8oOVDMzm5G2zfKNiIqka8mCsATcFBGbJF0PbIyI9TwZnJuBKvC+iHgMQNKfkoUywPUR8Xi7aq3XU6tQmu/rp2ZmVlzbAhUgIm4Fbq1r+2DueQB/lD7qj70JuKmd9TVTigq98+Z34kubmdks1elJSV2pRIXePg/5mplZcQ7UOlGr0UeFeX3uoZqZWXEO1DqHJ8oA9HnI18zMZsCBWueJ0VEA+uY7UM3MrDgHap0DI2MAzPeQr5mZzYADtc7+0SxQ+/sHOlyJmZnNJg7UOgePBKp7qGZmVpwDtc7IocMADDhQzcxsBhyodQ6OHgJgcGCww5WYmdls4kCtM3ooC9R587ywg5mZFedArTM2lg35quS1fM3MrDgHap1F/elJyT1UMzMrzoFa5/f/1dnZk1Jb7xtgZmYnGQdqvVq29CA9HvI1M7PiHKj1qilQPeRrZmYz4ECtdyRQ3UM1M7PiHKj1jgz5+hqqmZkV50Ct5yFfMzM7Dg7Ueh7yNTOz4+BArechXzMzOw4O1HrViezRQ75mZjYDDtR6HvI1M7Pj4ECtV6tkjx7yNTOzGXCg1vOQr5mZHQcHaj0P+ZqZ2XFwoNY7MuTrQDUzs+IcqPWqE6AS9PjUmJlZcU6NetWyh3vNzGzGHKj1ahVPSDIzsxlzoNarTvgtM2ZmNmMO1Hoe8jUzs+PgQK3nIV8zMzsObQ1USWskbZG0VdJ1DV5/i6RhSfemj/+Qe62aa1/fzjqP4iFfMzM7Dm1LDkkl4AbgZcAOYIOk9RGxuW7Xr0bEtQ0+xaGIuLhd9TX1rNfByt864V/WzMxmt3Z2xS4FtkbENgBJNwNrgfpA7S5PX9PpCszMbBZq55Dv2cD23PaO1FbvtZLuk3SLpHNy7f2SNkq6S9Jr2linmZnZr63Tk5L+AVgZEc8Bbge+mHvt3IgYAt4IfELSefUHS7omhe7G4eHhE1OxmZlZA+0M1J1Avse5IrUdERGPRcR42vwc8LzcazvT4zbge8Al9V8gIm6MiKGIGFq2bFlrqzczM5uBdgbqBmC1pFWS+oB1wFGzdSWdmdu8EvhFal8iaX56vhS4jG6/9mpmZnNa2yYlRURF0rXAbUAJuCkiNkm6HtgYEeuBP5B0JVABHgfekg5/BvAZSTWy0P9Ig9nBZmZmXUMR0ekaWmJoaCg2btzY6TLMzOwkJunuNL/nGJ2elGRmZnZScKCamZm1gAPVzMysBRyoZmZmLeBANTMza4GTZpavpGHg/7bo0y0F9rboc51orr0zXHtnuPbOmMu1nxsRDVcSOmkCtZUkbWw2LbrbufbOcO2d4do7w7U35iFfMzOzFnCgmpmZtYADtbEbO13Ar8G1d4Zr7wzX3hmuvQFfQzUzM2sB91DNzMxawIFaR9IaSVskbZV0XafraUbSOZK+K2mzpE2S3p3aT5N0u6QH0+OSTtfajKSSpH+R9K20vUrST9K5/2q67V/XkbRY0i2SHpD0C0kvmC3nXdJ70v+X+yV9RVJ/t553STdJ2iPp/lxbw/OszCfT93CfpOd2rvKmtX8s/Z+5T9LfSVqce+39qfYtkl7emaqP1HJM7bnX3isp0m01Z8V5T+3vSud+k6SP5tpbet4dqDmSSsANwCuAC4GrJF3Y2aqaqgDvjYgLgecD70y1XgfcERGrgTvSdrd6N+keuMmfAx+PiKcB+4C3dqSq6f0l8O2IuAC4iOx76PrzLuls4A+AoYh4FtltFdfRvef9C8CaurZm5/kVwOr0cQ3w6RNUYzNf4NjabweeFRHPAX4JvB8g/dyuA56Zjvnv6XdRp3yBY2tH0jnAFcCvcs1df94lvQRYC1wUEc8E/iK1t/y8O1CPdimwNSK2RcQEcDPZP0TXiYhdEXFPej5C9kv9bLJ6v5h2+yLwms5UODVJK4BXAp9L2wIuB25Ju3Rl7ZIWAS8C/gYgIiYi4glmyXknuwfygKReYBDYRZee94j4Adl9kvOanee1wP+IzF3AYklnnphKj9Wo9oj4TkRU0uZdwIr0fC1wc0SMR8TDwFay30Ud0eS8A3wc+M9AfuJN15934B1k99QeT/vsSe0tP+8O1KOdDWzPbe9IbV1N0krgEuAnwBkRsSu9tBs4o0NlTecTZD+ctbR9OvBE7hdOt577VcAw8Pk0XP05SQuYBec9InaS/XX+K7Ig3Q/czew475OanefZ9rP774F/Ss+7vnZJa4GdEfGzupe6vnbgfOBfp8sa35f0m6m95bU7UGc5SQuBrwN/GBEH8q9FNoW766ZxS3oVsCci7u50LcehF3gu8OmIuAQYpW54t4vP+xKyv8pXAWcBC2gwtDdbdOt5no6kD5BdsvlSp2spQtIg8F+AD3a6luPUC5xGdmnsfcDfphGxlnOgHm0ncE5ue0Vq60qS5pGF6Zci4hup+dHJIZf0uKfZ8R10GXClpEfIhtUvJ7suuTgNRUL3nvsdwI6I+EnavoUsYGfDef8d4OGIGI6IMvANsn+L2XDeJzU7z7PiZ1fSW4BXAW+KJ9+z2O21n0f2R9jP0s/sCuAeSU+h+2uH7Gf2G2lY+qdko2JLaUPtDtSjbQBWp1mPfWQXrNd3uKaG0l9YfwP8IiL+W+6l9cDV6fnVwN+f6NqmExHvj4gVEbGS7BzfGRFvAr4LvC7t1q217wa2S3p6anopsJlZcN7JhnqfL2kw/f+ZrL3rz3tOs/O8HnhzmnX6fGB/bmi4K0haQ3aZ48qIGMu9tB5YJ2m+pFVkE3x+2okaG4mIn0fE8ohYmX5mdwDPTT8LXX/egW8CLwGQdD7QR7Y4fuvPe0T4I/cB/C7ZDLyHgA90up4p6vwtsuGu+4B708fvkl2LvAN4EPjfwGmdrnWa7+PFwLfS86em/9Bbga8B8ztdX5OaLwY2pnP/TWDJbDnvwIeBB4D7gf8JzO/W8w58hexab5nsl/hbm51nQGQz9B8Cfk42k7nbat9nVPD5AAAB60lEQVRKds1u8uf1r3P7fyDVvgV4RbfVXvf6I8DSWXTe+4D/lf7P3wNc3q7z7pWSzMzMWsBDvmZmZi3gQDUzM2sBB6qZmVkLOFDNzMxawIFqZmbWAg5Us1lOUlXSvbmPli3ML2llo7uOmNmxeqffxcy63KGIuLjTRZjNde6hmp2kJD0i6aOSfi7pp5KeltpXSroz3b/yDkm/kdrPSPfp/Fn6eGH6VCVJn033kvyOpIGOfVNmXcyBajb7DdQN+b4h99r+iHg28Fdkd/gB+BTwxcjuy/kl4JOp/ZPA9yPiIrL1iTel9tXADZHdS/IJ4LVt/n7MZiWvlGQ2y0k6GBELG7Q/QrbM2rZ0I4XdEXG6pL3AmRFRTu27ImKppGFgRaT7RqbPsRK4PbIbeiPpj4F5EfFn7f/OzGYX91DNTm7R5PlMjOeeV/HcC7OGHKhmJ7c35B5/nJ7/iOwuPwBvAv45Pb8DeAeApJKkRSeqSLOTgf/SNJv9BiTdm9v+dkRMvnVmiaT7yHqZV6W2dwGfl/Q+YBj4/dT+buBGSW8l64m+g+zOHWZWgK+hmp2k0jXUoYjY2+lazOYCD/mamZm1gHuoZmZmLeAeqpmZWQs4UM3MzFrAgWpmZtYCDlQzM7MWcKCamZm1gAPVzMysBf4/l7HvobBEQTUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.plot(History.history['sex_out_accuracy'])\n",
        "plt.plot(History.history['val_sex_out_accuracy'])\n",
        "plt.title('Model accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "plt.subplots_adjust(top=1.00, bottom=0.0, left=0.0, right=0.95, hspace=0.25,\n",
        "                        wspace=0.35)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 193,
      "id": "62cc37d3",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:49.197435Z",
          "iopub.status.busy": "2021-10-31T02:40:49.196447Z",
          "iopub.status.idle": "2021-10-31T02:40:49.542503Z",
          "shell.execute_reply": "2021-10-31T02:40:49.543529Z",
          "shell.execute_reply.started": "2021-10-31T02:30:02.527123Z"
        },
        "id": "62cc37d3",
        "outputId": "55805458-5027-44d0-f287-4bed0ce8df02",
        "papermill": {
          "duration": 1.737727,
          "end_time": "2021-10-31T02:40:49.543734",
          "exception": false,
          "start_time": "2021-10-31T02:40:47.806007",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "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": [
        "fig, ax = plt.subplots()\n",
        "ax.scatter(Y_test_2[1], pred[1])\n",
        "ax.plot([Y_test_2[1].min(),Y_test_2[1].max()], [Y_test_2[1].min(), Y_test_2[1].max()], 'k--', lw=4)\n",
        "ax.set_xlabel('Actual Age')\n",
        "ax.set_ylabel('Predicted Age')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 194,
      "id": "7efc6be3",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:55.021454Z",
          "iopub.status.busy": "2021-10-31T02:40:55.019643Z",
          "iopub.status.idle": "2021-10-31T02:40:55.022048Z",
          "shell.execute_reply": "2021-10-31T02:40:55.022495Z",
          "shell.execute_reply.started": "2021-10-31T02:30:03.938779Z"
        },
        "id": "7efc6be3",
        "papermill": {
          "duration": 1.3591,
          "end_time": "2021-10-31T02:40:55.022646",
          "exception": false,
          "start_time": "2021-10-31T02:40:53.663546",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "i=0\n",
        "Pred_l=[]\n",
        "while(i<len(pred[0])):\n",
        "\n",
        "  Pred_l.append(int(np.round(pred[0][i])))\n",
        "  i+=1\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 195,
      "id": "1354e8e0",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:40:57.692825Z",
          "iopub.status.busy": "2021-10-31T02:40:57.691913Z",
          "iopub.status.idle": "2021-10-31T02:40:57.694164Z",
          "shell.execute_reply": "2021-10-31T02:40:57.694651Z",
          "shell.execute_reply.started": "2021-10-31T02:30:04.413453Z"
        },
        "id": "1354e8e0",
        "papermill": {
          "duration": 1.33577,
          "end_time": "2021-10-31T02:40:57.694839",
          "exception": false,
          "start_time": "2021-10-31T02:40:56.359069",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "from sklearn.metrics import confusion_matrix \n",
        "\n",
        "from sklearn.metrics import classification_report "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 196,
      "id": "e7be3b6a",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:01.139824Z",
          "iopub.status.busy": "2021-10-31T02:41:01.139259Z",
          "iopub.status.idle": "2021-10-31T02:41:01.155015Z",
          "shell.execute_reply": "2021-10-31T02:41:01.154528Z",
          "shell.execute_reply.started": "2021-10-31T02:30:04.919815Z"
        },
        "id": "e7be3b6a",
        "papermill": {
          "duration": 1.930693,
          "end_time": "2021-10-31T02:41:01.155133",
          "exception": false,
          "start_time": "2021-10-31T02:40:59.224440",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "\n",
        "report=classification_report(Y_test_2[0], Pred_l)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 197,
      "id": "bb122237",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:03.831041Z",
          "iopub.status.busy": "2021-10-31T02:41:03.829426Z",
          "iopub.status.idle": "2021-10-31T02:41:03.833311Z",
          "shell.execute_reply": "2021-10-31T02:41:03.832839Z",
          "shell.execute_reply.started": "2021-10-31T02:30:05.393479Z"
        },
        "id": "bb122237",
        "outputId": "a65aa040-ed08-4218-80c3-09b16bd7e828",
        "papermill": {
          "duration": 1.344148,
          "end_time": "2021-10-31T02:41:03.833424",
          "exception": false,
          "start_time": "2021-10-31T02:41:02.489276",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.84      0.94      0.89      3085\n",
            "           1       0.93      0.81      0.86      2842\n",
            "\n",
            "    accuracy                           0.88      5927\n",
            "   macro avg       0.88      0.87      0.88      5927\n",
            "weighted avg       0.88      0.88      0.88      5927\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(report)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 198,
      "id": "c7ee1dc5",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:06.587380Z",
          "iopub.status.busy": "2021-10-31T02:41:06.586618Z",
          "iopub.status.idle": "2021-10-31T02:41:06.600253Z",
          "shell.execute_reply": "2021-10-31T02:41:06.600643Z",
          "shell.execute_reply.started": "2021-10-31T02:30:05.822668Z"
        },
        "id": "c7ee1dc5",
        "papermill": {
          "duration": 1.429939,
          "end_time": "2021-10-31T02:41:06.600779",
          "exception": false,
          "start_time": "2021-10-31T02:41:05.170840",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "\n",
        "results = confusion_matrix(Y_test_2[0], Pred_l)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 199,
      "id": "f3c8f6e0",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:09.294485Z",
          "iopub.status.busy": "2021-10-31T02:41:09.293787Z",
          "iopub.status.idle": "2021-10-31T02:41:09.620236Z",
          "shell.execute_reply": "2021-10-31T02:41:09.619791Z",
          "shell.execute_reply.started": "2021-10-31T02:30:06.332608Z"
        },
        "id": "f3c8f6e0",
        "outputId": "69a5caf6-bdbb-4b88-9145-abf7e555acf7",
        "papermill": {
          "duration": 1.65931,
          "end_time": "2021-10-31T02:41:09.620366",
          "exception": false,
          "start_time": "2021-10-31T02:41:07.961056",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff803109050>"
            ]
          },
          "metadata": {},
          "execution_count": 199
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "\n",
        "sns.heatmap(results, annot=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 200,
      "id": "c12c2839",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:12.543298Z",
          "iopub.status.busy": "2021-10-31T02:41:12.542437Z",
          "iopub.status.idle": "2021-10-31T02:41:12.544552Z",
          "shell.execute_reply": "2021-10-31T02:41:12.544929Z",
          "shell.execute_reply.started": "2021-10-31T02:30:06.884449Z"
        },
        "id": "c12c2839",
        "papermill": {
          "duration": 1.60507,
          "end_time": "2021-10-31T02:41:12.545067",
          "exception": false,
          "start_time": "2021-10-31T02:41:10.939997",
          "status": "completed"
        },
        "tags": []
      },
      "outputs": [],
      "source": [
        "def test_image(ind,images_f,images_f_2,Model):\n",
        "#   cv2_imshow(images_f[ind])\n",
        "  plt.imshow(images_f[ind])\n",
        "  image_test=images_f_2[ind]\n",
        "  pred_1=Model.predict(np.array([image_test]))\n",
        "  #print(pred_1)\n",
        "  sex_f=['Male','Female']\n",
        "  age=int(np.round(pred_1[1][0]))\n",
        "  sex=int(np.round(pred_1[0][0]))\n",
        "  print(\"Predicted Age: \"+ str(age))\n",
        "  print(\"Predicted Sex: \"+ sex_f[sex])\n",
        "\n",
        "age=int(np.round(pred_1[1][0]))-1310\n",
        "sex=int(np.round(pred_1[0][0]))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "img = cv2.imread('/content/emirhan.jpg')\n",
        "img = cv2.resize(img,(48,48))\n",
        "img = np.reshape(img,[48,48,3])"
      ],
      "metadata": {
        "id": "Rrq0s2RY16h2"
      },
      "id": "Rrq0s2RY16h2",
      "execution_count": 211,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pred_1=Model.predict(np.array([img]))\n",
        "#print(pred_1)\n",
        "sex_f=['Male','Female']\n",
        "print(\"Predicted Age: \"+ str(age))\n",
        "print(\"Predicted Sex: \"+ sex_f[sex])\n",
        "from google.colab.patches import cv2_imshow\n",
        "images = cv2.imread('/content/emirhan.jpg')\n",
        "images = cv2.cvtColor(images, cv2.COLOR_BGR2RGB)\n",
        "plt.imshow(images)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "j8gBKaAN0UXB",
        "outputId": "882fdc3f-79e9-429f-ca8f-36741e0915bd"
      },
      "id": "j8gBKaAN0UXB",
      "execution_count": 212,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Age: 21\n",
            "Predicted Sex: Male\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"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "img = cv2.imread('/content/emirhan_1.jpg')\n",
        "img = cv2.resize(img,(48,48))\n",
        "img = np.reshape(img,[48,48,3])"
      ],
      "metadata": {
        "id": "4mYy3dqcHs_V"
      },
      "id": "4mYy3dqcHs_V",
      "execution_count": 213,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pred_1=Model.predict(np.array([img]))\n",
        "#print(pred_1)\n",
        "sex_f=['Male','Female']\n",
        "print(\"Predicted Age: \"+ str(age))\n",
        "print(\"Predicted Sex: \"+ sex_f[sex])\n",
        "from google.colab.patches import cv2_imshow\n",
        "images = cv2.imread('/content/emirhan_1.jpg')\n",
        "images = cv2.cvtColor(images, cv2.COLOR_BGR2RGB)\n",
        "plt.imshow(images)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "5NeF_5ckHwOJ",
        "outputId": "be8f0edd-bd1e-4969-975c-c9c057bf7b98"
      },
      "id": "5NeF_5ckHwOJ",
      "execution_count": 214,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Age: 21\n",
            "Predicted Sex: Male\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"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 204,
      "id": "26e37257",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:15.268896Z",
          "iopub.status.busy": "2021-10-31T02:41:15.266959Z",
          "iopub.status.idle": "2021-10-31T02:41:15.534569Z",
          "shell.execute_reply": "2021-10-31T02:41:15.534091Z",
          "shell.execute_reply.started": "2021-10-31T02:30:07.685018Z"
        },
        "id": "26e37257",
        "outputId": "ea89f389-7b4f-48aa-957d-14468bfefbe2",
        "papermill": {
          "duration": 1.653316,
          "end_time": "2021-10-31T02:41:15.534698",
          "exception": false,
          "start_time": "2021-10-31T02:41:13.881382",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Age: 54\n",
            "Predicted Sex: Female\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": [
        "test_image(57,images_f,images_f_2,Model)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 205,
      "id": "c81cce44",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:18.212409Z",
          "iopub.status.busy": "2021-10-31T02:41:18.211518Z",
          "iopub.status.idle": "2021-10-31T02:41:18.402565Z",
          "shell.execute_reply": "2021-10-31T02:41:18.403059Z",
          "shell.execute_reply.started": "2021-10-31T02:30:14.279728Z"
        },
        "id": "c81cce44",
        "outputId": "631ec6cf-d5ee-4be9-89ae-81e28953b5c3",
        "papermill": {
          "duration": 1.532723,
          "end_time": "2021-10-31T02:41:18.403229",
          "exception": false,
          "start_time": "2021-10-31T02:41:16.870506",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Age: 25\n",
            "Predicted Sex: Male\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": [
        "test_image(137,images_f,images_f_2,Model)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 206,
      "id": "7e417348",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:21.078421Z",
          "iopub.status.busy": "2021-10-31T02:41:21.077542Z",
          "iopub.status.idle": "2021-10-31T02:41:21.301229Z",
          "shell.execute_reply": "2021-10-31T02:41:21.301646Z",
          "shell.execute_reply.started": "2021-10-31T02:30:18.503186Z"
        },
        "id": "7e417348",
        "outputId": "752e5457-918f-4a1e-a517-41e07493c519",
        "papermill": {
          "duration": 1.561577,
          "end_time": "2021-10-31T02:41:21.301800",
          "exception": false,
          "start_time": "2021-10-31T02:41:19.740223",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Age: 37\n",
            "Predicted Sex: Female\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ayXFe5eTB+47rw4P7hFVDDPPwww+y8cyMLomf1LjQYvHIYWVjtSA6deoUG/cfeEjZHBbVdOYP6DZWqfDrMyPrDqKVU9UQaCQFP/9No/1TZ6D96F6PH29yTLeoajV5HGF8YlLZdER2WGSUV36HyDqbm9d976dm+T1aW9WZioVoR9VI9L3vbOoYTi6u7fikjo+0mvzZO3b4mLKJK7yN1UZHC5FkeOTskm6ZReI+UizjV1qscxV/sztOSfDF7jglwRe745QEX+yOUxJG3J8dquxxRDz4lhhZb7L/d5RZPdz5fiLS32NSkDFuCFYOH+bBpvvue1DZdNo8uFI1BCtHFnSA7qH7H+AbCi0gSkRWUwR9rqvLPPOrkejb2KzzLKuQG+W+xL2wSoIFY1ssru2C0f+sJspCT0zraz0mes/PzOlg5FaXB5wWD+tj1UVGWWbMOREP3saqDn7127pUlQx0Nhq6/Hi9wY9/cE5nxmWij17/vC53PSb2XYv1fW0XIgC3Q+loib/ZHack+GJ3nJLgi91xSsLIS0kXwv+OqzxhxfLZg0h8sfzPcSFsqBmJMHI/FaMkdVX4SXFFV7xpVLmoJjMSc6xqOgdEZZZ+32jtJKZkXY+5aS4isZIzlD9uXLNUlNu2rmtmVFSpCvFLzYh9TM3wc5V+NaDvfcXI4pie4Ak0VnJIUyY4Ge2XmiKuMdlcUDZpV4uDuhvcjx8MjNZOq7yjeWoIZmSrdXkNASCC6L1uxJ0gS1DLZ2+HBu3+ZneckuCL3XFKgi92xykJvtgdpySMvFJNIoUCIuAQjKy3hih5HIrdbWDYBHEsKwBSFYG9xAjQVUXfsszood5ut9W2QgTAxowy0bJneZ7qjLYxUWGmvaHFID3R/80KCMkS3YOeznDrGn3k5HWUopLt43FxUMUoMTMuyltXajqoGldEuWsrsCWimmlVB/Fqoq9dHPR+BqQ/RwMebMv7+hqloppOSHVQk2QgLdfPZyHEQFaVIBmQk8/wDoVq/M3uOGXBF7vjlARf7I5TEkbrsxNQl6IVIQhpkU4OmUiEj2yISOKc+0lWr/FK4N9tCbQ/nohLMlbX/mgkxCB9w0dr1nXChJxSpaLPVfaeT43YgxR6wOhFX4gKM8FQW8SB+38DQ7ASTJEG39jt6vjE+AyPR1QSnSxUFdVi6lX9OFZEklG90F5pLeHXOjUETRVRhlU+LwCQG8eX1zrN9Of6wo/vGKKaTPRej4z2YFIcFYzzgKjsFEm1jhHzumZ7w584jvOWwhe745QEX+yOUxJ2XexEdJSIvkVEzxPRz4joU8PtM0T0NBG9NPy/LsPqOM6+YS8BugzA74cQniOicQDfJ6KnAfwLAN8MIXyWiJ4A8ASAT++4pwAEUfmj2eQZZJMNHcgZF9s2BlvKpr3Fe51nRgnkihBWWDb9LheRTI4bwheRnZUaMZFaVZ9H3OCBvUGqjw9RmaZe1z3LcxEQ7BrnIQUzUngC6ECn1cYp6xuliaUYxzi+bBEVtVrKRgqqaoZgRgYxA+mgaiyCVLIVGKDbjOUDbZN1jQpIovS5JcTKxflvbuhS1p0B33dmZM+pDEPjuYpJVmTiRrRD6Zpd3+whhAshhOeG/94E8AKAwwA+BuCpodlTAD6+274cx7lzvK4/vRHRcQDvAfAMgPkQwoXhjy4CmL/BZx4H8DgARDt1nXMc57ay5wAdEY0B+CsAvxtCYO0uw/bvjPZfZEN4MoTwSAjhEdpRues4zu1kT292IkqwvdD/NITw18PNl4hoIYRwgYgWACztvh+gJqqnymSIVt1IhhDfI0VuVGYp+Kn0DaEHCR8162nxgxRWJMb3U1X8hhIMwQiMdkuZ+LIbDHSSSUUk4qTGeWQZ94fJ+I2pJXzkxPCHVetrWQUFumUxAKwtr4gt+nt+a4zf17pMVALQkIIly9cWwp/EuCEk/Ni+IQ6SVXksnzk3PicrBRndmEEizjLo6vvaEe2wB6n2rQsh9MkzHQuRcY1CXHsifV5X2Us0ngB8EcALIYQ/uu5HXwfw6PDfjwL42m77chznzrGXN/sHAfxzAD8hoh8Ot/0bAJ8F8OdE9BiA1wD8s9szRcdx3gh2XewhhL/HjdNkf+2NnY7jOLcLV9A5TkkYadZbHEWqysp4i4+ToIMk3U0umAlG+6dqIgN0Okgy6PPAVsMo0yyDb1YQj0SVkUZTC29giGqk+KbR1G2C+qIfeHtdC126HS4qqsb6WKoikEEqgm91Y87Wtra4H9bfYWYOiHMzsvdkglYc6SzAIFIF5Xh7P+Jcg34+VPDRCEZa2ZRSeGW145KPUWH0uZf3rJcZF02cW2xksMWySpKofkSkn5er+JvdcUqCL3bHKQm+2B2nJIzUZw8ApFeU9rlvPd7QU1pPud+cGMKbadESqZYYCSRCtFCtTSgbqU/ZWJECEmBqSvijRnVVyNa6AGJReWR1S1eFPXPxPBtb38atmJ9/KLSvGYkEkppRJVfqSqqxIWgyBDsTIkZhVcFp1kT1GKNy7elTr7Jx1tfxkcV5rsLOMj2fQsQsZBVfACARCzJbXfW1r52JcwtGdaEoEdfWEFR1hGCna+QXSVc/MqrdRhDPsBAZycQY/lnHcUqBL3bHKQm+2B2nJPhid5ySMNr+7EQgEczoifZGSx2WPQsASGo8ADY7qaueHFrg/babY9pGZofVjEysSFYmiXVAJhVCi43VZWVTSfSlXV7nFUxOnjqpbC4s8+TBu+4+rmxa47wfer+nA3Q1kYk3PqZ7j7cDD44u9S4rm60tXRVIBkPrDR0MHWvxIF67s6lsTp9+jY27HZ3hN+gJIVRLB1UrDX6vg6XuFkKoYqCDgYURICxEr3c5BozqMVZVINEirGPcs1zMOxiv4qq0EQKzHeJz/mZ3nLLgi91xSoIvdscpCb7YHackjLbXWxSh2uDKqiB7YOl4GBpNHlyaPTCpbBaOHmbjuKrVYAOhYJM9ugCgKUolRZHeT19kwlFfB5ZWjKy7V0+dYuNXjADdXfefYOOWoSjcaHNV3+aa0VtMlD2qG4rC9TUeDN1Y14q+blfve1UEJIORZZZUeSC2kuj3ytL5C2wsS0ABQFME31pGgKzZ5HOMTSUgHxfGva8YZaCqonRXMI4vg4iZcT2COH5qlFaTAr5gqBcLoZaUWW+yhPj1+JvdcUqCL3bHKQm+2B2nJIzUZ4+iGLUm98HanVU2np3R/vjEGBdS3HPvPcrmyNEjbDzd0v3Rpfu7bviosjLLwMjWqgsHUGbuAcCrZ06rbWfOnuVzHNdzPDR/gI1bLZ1Rt6LEJ9q364u2TWfFsQFgbWV9xzEAnDt/Tm37yY9/xMYdo9z1saPH2HhuVrcCLHIpCNH+Zi58UivOQkH2Ptf7iYRCJTIq3hR9XeUl74o+95nOlut2+P23ylSTEGflhmvdF5VyyBDn9EX2Xq3Fn1fatHq6b+NvdscpCb7YHack+GJ3nJLgi91xSsKIRTWEeo2LO7oJD1Ktaw0H+hkXf6x2dZBkZn6RjY/NTymbtSVe8mmwoTPsupt8mxEjQSYEO931VWWzdumi2lYVAp3DR44pm4YQv/TWdfCvWefXbHZCn+tA9PqWAhYAWL7MM+zOXrikbL7//e+pbYUIUt17QgdMj9/DA6aqrxy0AGRmdlbZVMX1jwp979O+EL5YZaJFrzUySnmRkTLWFsHH9Y7OAtwSAdO2UX48FtOuGStvS6hqcivtTTyQVZEFSLEOYF776A1/4jjOWwpf7I5TEnyxO05JGG37p7iCydk5tq0nE0YyXWP30hXuW377299WNvcfO8TGbz/xK8pmS7REahsteDaEz94wnKt+j/uEa5e0r5tlWtwwe5An64xNHlA2aVYRY+1/isIoSA2hRyEyL2SFIADoifLG55aWlM3kAT3HI4s8PnL82F3KZl6IaNZFlR4AyIVvHUMnsEQkEmqMJBdZXagz0H71ZltsM9qMkSG0WRPz7lqiGhEfKYxEmFzonqTIBgAitU3vpy8e2U2RmJMbbbau7f+GP3Ec5y2FL3bHKQm+2B2nJPhid5ySMNIAXSVJMDXHSz73RFbR8nmdndUY58Gey5e1QORvv/McG584cULZVMV320ZHZzkF8ABMb1MHDCsRD4KkAy18aRlZd2OT/DxCpMtdy7hebPQWCxEP3PQMEUldBOQWDx9VNpMTfD6HjuhAW2xk1LWaotqQEbSqiGsdBR0glEHMNNVCl60tvq3V1AE6Wb0lTXWQKhMCntzoxV6kWpCSimCbzEwDgGqNn1vduPd14s9R2wjgkshUtKrOrGxwwY4MMmfGs3AVf7M7Tknwxe44JWHXxU5EdSL6LhH9iIh+RkR/ONx+NxE9Q0QvE9FXiUj/nuY4zr5hLz57H8CHQghbRJQA+Hsi+h8Afg/A50MIXyGi/wLgMQB/stOOojjG2CSvRDOXcoHGxqruh16PeSuhibmDyub0FZ6M8oX/+mVl864H7mbj9z+kEzjyHk9q6BvtqGLiflFi6RgqRo9uUWWlmenv2lqDVx7p5zqpIheVSatGSd6+SKoYm9btn8ZE1d6jBw4rm9SouiKr0K6tasHMQPi2skUSoCusbm5qMUwk22gZ11puokj7rbIdWDrQ1769ceMkkqvU67pK72S1Lo2UTU88n7GRLBMiHh/JjOShrhBZbYkqSYYG6xq7vtnDNlfvQjL8LwD4EIC/HG5/CsDHd9uX4zh3jj357EQUE9EPASwBeBrAKwDWQrimOTwLQL8WHMfZN+xpsYcQ8hDCuwEcAfBeAA/u9QBE9DgRPUtEz/aMhgOO44yG1xWNDyGsAfgWgA8AmCKiqw7VEQC6DOn2Z54MITwSQnik3tCVUh3HGQ27BuiI6ACANISwRkQNAB8G8DlsL/pPAPgKgEcBfG33wxEIPFDTaInWTou6ekvIebCp1dDCis4GP5Xess5EW13mgSWq6D8gtGb5vtNYC28g2gTlAy2Q2DCyvDorfF+XV/TnYhGQ6vV10KpS4YGcJNK3UVaqkT3VAWBsjAc+q4bwpWuUbl5avsLGp8/qstkybGZ0MkKS8GvdM47VF1lcVWgBTxDHqtb1eRxenGfj6ZYOotVbWuRUEeKkWksHOrfEtQ5runJRQ5Spzq7oe5+KAF3HqMqjLuRODdkFe4nGLwB4iohibP8m8OchhG8Q0fMAvkJE/wHADwB8cc9HdRxn5Oy62EMIPwbwHmP7SWz7747jvAlwBZ3jlISRJsJYNESL5IMHtWCmK6qMNKSIAUAu/GgyWiZfEi2KV7e0jzg3xSucNhLtbNZEIsza5WVls7SsE3pOn+NxhFPf+4myefXka2z8D/7hu5XN+9/3PjZuGf74QPiNS2taHLTS5n8d2WxbQg+1SbUSzsd04kcnFz6qkeQyNcHvfberr/Up0X5q+RXd5nrtAq+wc/TIorJpfPD9bDxZX1A2k0aVXuFGo2747BAio1XVngvIhdolM6okSZvBwKhAJEQzsai+RKm3f3Kc0uOL3XFKgi92xykJvtgdpyTc8QAdiQiIFHoAQCREE0WuM6iqDR44WQu6mk0kBD3LbS2YebDFgzRzY3PKphpEZRRdzAZHj+lLe+jo/Wx88MxlZbO8zMU48fiEsnnoV3iZ7LlDutxzHPPv8UFfT3IggmZnL+hrNimyFAGgEPesa/Q1b4mgXdeQSrda/F6/dvo1ZZP97//Dxud+/oqyqTR4wHbxqK64c+AAF9WMj+nzGm9qMU4EmWWmg7qyokytVlM2nQ4//9xo0F5N+OfSVAdV04EUK/EgnlHc5hr+ZneckuCL3XFKgi92xykJd95nF9VLjeIcqFa5+MLoroOcuE0etF/fFdVDzy9pMcxGm9uMGVcoEdl7jXHt/1Ur2m9rjPF4ACU68eL+h7hf34m0E3Z6k/v1+aSOc8yJ9seHjBZN8to352aUTdXwP2XbYFm5BoByHjtbZ5RJd3OT78cQJy2f562vmw0tqHrbu97Oxg8/oDOwjx7lLaTHjGSZRqKfmVi0iUoNp1hWxR0Y1X1CLuNOWkBUqfBzC5aiSSQCNRo8NpLvkEbub3bHKQm+2B2nJPhid5yS4IvdcUrCyAN0JDKmZLgjMqqukBCIFInOBqrHPLhRrb+KDJQAAA4cSURBVOtMrLUVngn2yildSevksfNsfPCdOtjTEyWgq00tfMmN8s5j0zxAt2AEYN73jx5h43NGJtrKZV4ppjB6cq+L0sV5V4tqpqf4fPK+vq5pT2cP9rZ4VteVC7oqUKfNg2/nXtOCmVyUU15f0QG6uyZ40PCBD2gB0fwhHoxcXNSZk/U6vx/NMSOAWtfbUnEeVs/0ughiWgE6S9QkWRGZiT2jLnQhgqoNIUxqG6Kfq/ib3XFKgi92xykJvtgdpyTccVGNRPr0AEBCxJEX2ieC8PUrdS1YWd7iCRu9rvbZF18+xcbHjureF8cO8uSYxBDQtKa0aINEJdCoos/1wAz3Uatj2o/e2OCVe2otHTOIwc/14os6gWRDiIPyQlc5acW6km++KZI6RAwBAArhj89B72dAoh2zcR6VaX49WjP6vkJdaqsqK7/2lYp+z8mkEgDY3OLXerOtq/3Kts4dQ9iyKQREVjvmXFRR7g8M9RgJQdMG9/OL3Dj3If5md5yS4IvdcUqCL3bHKQm+2B2nJIw8QGcFJvjPd98YGS1vMiFAOLh4VNkMhGjkwqmXlc1zz7/Ixncd1WWJp6Z46eaxiiGgMUpQy1k3mjqDa1Z8/4ZVXZZ4sMkFGtGWDgglQrBTNfrF5z0eIKvE+ru/mxoBqS4P/gUjKCRjjzWj3VK3wj+XZbrijaiUjGpVz7E1zYN2MtAFAI0Gj+IlRoZbCPpzA1GGKDcaxKfieMtG+ycptOkbAqZICLGM24FUCKj6QkRT7LC+/M3uOCXBF7vjlARf7I5TEnyxO05JGG2ALugA3V66Sxci0ygypl0XAZe4qUs1PfjwO9h4bkortpbP8F5izzz7nLI5cTfvIX/cKOWcycgSgEGXq53iQtuMj/OS2BFpdd7WZV6WqitKNwFAQyjxZoweei3RZy8ygl9RpLe1uzzYtWr0ou9tisy4VR20SlMekJMBKgCYHOf30So1Lks3F4XOMKslQoVp1DbbMkqLL29w5VvP6KUWiM/73DldkruIuU17oAOvbZGZaFQkw/gED0ZmGQ/0dXv6HK7t74Y/cRznLYUvdscpCb7YHack7Lust9wQBcg2RWT4WzUpUDGy56Iqz7xaWDyibCZFC6DNS6eVzYVLvG3T1ISuijM7Pqu2VRM+xyzX5yFLDleN6imLhw6xccfovQ4h9Fi5vKRM1oQ/Pt7Sxxqb1HGNvug/Xgy0qCftcN8xNqrpTIpKOUlVZwpOjvEYBmm3HiSuY0U2VYfRDivTvvfymo49XBICmTjR4qCfv/QqG69uan98vcvFL32jZ5gUNTUbOlNQZuslorS2VSXnKv5md5yS4IvdcUrCnhc7EcVE9AMi+sZwfDcRPUNELxPRV4lI/w7mOM6+4fW82T8F4IXrxp8D8PkQwr0AVgE89kZOzHGcN5Y9BeiI6AiAXwfwHwH8Hm3XjvoQgN8emjwF4N8D+JNbnZBVlkqKJrJcBzdk6aoo0ae2sckDWVVDtDA5x8UnTaMn2KV1HoCZXZblhoHpupHR1uRzIuOrdiACa2TcokOLC2ycixLVANBu8znKfmQA0OnwMtGbm/q6rm/qc5P92I3iSWg2edBydnZa2cQiMzAy7n1S50GqmPTRCPya1Y1+cKmY5fqGPq+LSzqISRV+/1c2dRbgy6d5EHcAIzgsynvVjYcvRHyOVoZoL+X3NRFCKNpBprbXN/sXAPwBfnlfZwGshV/mBJ4FoIu1OY6zb9h1sRPRbwBYCiF8/2YOQESPE9GzRPRsr6sbDjiOMxr28mv8BwH8JhF9FEAdwASAPwYwRUSV4dv9CABdqhVACOFJAE8CwNzBhb1I4R3HuQ3suthDCJ8B8BkAIKJfBfCvQwi/Q0R/AeATAL4C4FEAX7uN82RYPcMzIbTJDNFCIj6XGNVbZKWPitHaqZ/LPu+6lHLTEH/UFrjQphFro0hUvSFom0K4hHGif0GbnObzzo1qMnUhIMoyLeKQxwJ0PMJKlkEsepanOkEjzfh1zArDHxdTCsZ8EnEde5lugZSJ18yKkbwjYxEAgILv++yrus/8+jLfV2RctC1R3Se27r2IKzT17UBS48/sWIsbXVw1LtC1/d88n8Z2sO5lbPvwX7yFfTmOc5t5XXLZEMK3AXx7+O+TAN77xk/JcZzbgSvoHKck+GJ3nJKw77Le9kKwSg6LjKmBlT0nBCuxjP4AyGXwK9I2meiJtrKuhRanjXLX4yKwdXh+Utk0hfiikuv9JFKQISrOAICMdcVGoG9WCIiCIWoJhf5cRQQ282D0BC/4tk5Xi1hUQNDIVkPMzzWDzlbLBvx56K7qY/VEyeW1ZR2gs56HCxd5FaDTZ07pOYo5dYxAXyzKVJPRV68p6m/XalocNH2QlzZvCfHS6SWdcXcVf7M7Tknwxe44JcEXu+OUhDelz14UWiBSEyKFwvB1pbCi09H+TRCilqohGOmJip6pUQa0MBItkkuXuI0hmlgQ1VSTTJ/reMx99GpVV1yVQpNaVfc1r9e5v2e47IgjLWCS1z9A2wxyLo2Oavo6pin3o4NRgUgKb7pd7Q8P2rxSjuypDgArK7zizFZb3/vUaG3+6klehYasJBfxjJAhYGpU+VJrtnR1I5kEJisNA8BR0Y5MJoAlRiuya/O84U8cx3lL4YvdcUqCL3bHKQm+2B2nJOy7AN1u/dsBmI2rO20RECJ9alWZaVTTETKphUmN78OoxgNiRaSrwGwVOpD0yso6G4eqDvbI6tKHJ7RgJhetrmR7LACIRBmcAnqOhRCD1IwsQCuHKhJ2VrulWIiDpKgEADKxLRtYghk+76ynBTyba/y6bm3o0trnz5/n80l0BaLXzuq2TUvLPKMxNq5Rq8GDbYWMBAOo1vjxLMFMo8Hv9eHDuh7M3AHe1mtlZYXP78ZJb/5md5yy4IvdcUqCL3bHKQn7zmc3q55oI7UpiPZCseH6y8KkaaR93UJckmCUgM1Fckg20D5rI9FCk40e9y1PX9ZtjKtCWNGqzSubWirmaFR4qUWimoxxq0Mk22cbqhJjWxCBhdxI6iAxJ0qNKjRiP6khmOmIaq7rRoWZNdG2aemcrpB25Qr3vVcN0dMVEVMBdEsqq+JPIt6ZcxO62u+kaA+eVHS8aHyCi2juu+ceZVOr8eej6HFxULzD+vE3u+OUBF/sjlMSfLE7Tknwxe44JWG0ATqy2zu9boIhhhHRt2BUPVEhomAErURALhiykhBJwYoRMIyNYJc49zWjldAZoYqoG1lMhRCazE3pctf1KhdohK4OIqYRFyIVkVFau9CNPQoRfLNaS1UrPPjX7+n9yHZc7S0thtkQ2WpXli4qm8tXeDbhuQvaZnWNB7JkeywAiIwe8olo/0SGaqXV4te63tCCnelp3v5KtjQDgMVFHoydP6Tv65kzvJT19AQX9Mge79fjb3bHKQm+2B2nJPhid5ySsO9ENaNE+p6Abi9EkfaZpWdXmMIbve+KTA4xKtxsiYSec+e0/xmLBpm51TCzx/3oqnEe8Qb3LatGfEAm1AD6uuVG5SDZyqjTNarHLC+z8eqqbqO1cplvWzJ89rU1vp/NLX09Njsi6SbTQiDLj5ZtmlotXfFnbo4np8wdnFU21URUDTYSag4cOMDGhRFDkG22Z2b4sXcSpfmb3XFKgi92xykJvtgdpyT4YneckkB7qgzzRh2M6DKA1wDMAdDRmP3Nm3HOwJtz3j7nm+euEMIB6wcjXezXDkr0bAjhkZEf+BZ4M84ZeHPO2+d8e/Bf4x2nJPhid5yScKcW+5N36Li3wptxzsCbc94+59vAHfHZHccZPf5rvOOUhJEvdiL6CBH9goheJqInRn38vUBEXyKiJSL66XXbZojoaSJ6afj/6Z32MWqI6CgRfYuInieinxHRp4bb9+28iahORN8loh8N5/yHw+13E9Ezw2fkq0SkE8TvMEQUE9EPiOgbw/G+n/NIFzsRxQD+M4B/CuBtAD5JRG8b5Rz2yJcBfERsewLAN0MI9wH45nC8n8gA/H4I4W0A3g/gXw6v7X6edx/Ah0II7wLwbgAfIaL3A/gcgM+HEO4FsArgsTs4xxvxKQAvXDfe93Me9Zv9vQBeDiGcDCEMAHwFwMdGPIddCSH8HYAVsfljAJ4a/vspAB8f6aR2IYRwIYTw3PDfm9h+EA9jH887bHM1HS4Z/hcAfAjAXw6376s5AwARHQHw6wD+23BM2OdzBka/2A8DuL6uztnhtjcD8yGEq83ALgLQBd33CUR0HMB7ADyDfT7v4a/DPwSwBOBpAK8AWAvhWiO4/fiMfAHAH+CXlc5msf/n7AG6myFs/wljX/4Zg4jGAPwVgN8NIbCibvtx3iGEPITwbgBHsP2b34N3eEo7QkS/AWAphPD9Oz2X18uoi1ecA3D0uvGR4bY3A5eIaCGEcIGIFrD9JtpXEFGC7YX+pyGEvx5u3vfzBoAQwhoRfQvABwBMEVFl+Kbcb8/IBwH8JhF9FEAdwASAP8b+njOA0b/ZvwfgvmHksgrgtwB8fcRzuFm+DuDR4b8fBfC1OzgXxdBv/CKAF0IIf3Tdj/btvInoABFNDf/dAPBhbMcavgXgE0OzfTXnEMJnQghHQgjHsf38/m0I4Xewj+d8jRDCSP8D8FEAL2LbN/u3oz7+Huf4ZwAuAEix7X89hm2/7JsAXgLwvwDM3Ol5ijn/Y2z/iv5jAD8c/vfR/TxvAO8E8IPhnH8K4N8Nt58A8F0ALwP4CwC1Oz3XG8z/VwF8480yZ1fQOU5J8ACd45QEX+yOUxJ8sTtOSfDF7jglwRe745QEX+yOUxJ8sTtOSfDF7jgl4f8DYxZZJqB2C+EAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "test_image(502,images_f,images_f_2,Model)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 207,
      "id": "affd01a7",
      "metadata": {
        "execution": {
          "iopub.execute_input": "2021-10-31T02:41:24.272221Z",
          "iopub.status.busy": "2021-10-31T02:41:24.263363Z",
          "iopub.status.idle": "2021-10-31T02:41:24.479862Z",
          "shell.execute_reply": "2021-10-31T02:41:24.480317Z",
          "shell.execute_reply.started": "2021-10-31T02:30:21.647314Z"
        },
        "id": "affd01a7",
        "outputId": "c8667c2c-20d5-43ec-9976-75a34d6edb12",
        "papermill": {
          "duration": 1.559051,
          "end_time": "2021-10-31T02:41:24.480484",
          "exception": false,
          "start_time": "2021-10-31T02:41:22.921433",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Age: 41\n",
            "Predicted Sex: Female\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": [
        "test_image(24,images_f,images_f_2,Model)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.10"
    },
    "papermill": {
      "default_parameters": {},
      "duration": 500.498298,
      "end_time": "2021-10-31T02:41:29.209677",
      "environment_variables": {},
      "exception": null,
      "input_path": "__notebook__.ipynb",
      "output_path": "__notebook__.ipynb",
      "parameters": {},
      "start_time": "2021-10-31T02:33:08.711379",
      "version": "2.3.3"
    },
    "colab": {
      "name": "Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence.ipynb",
      "provenance": []
    },
    "accelerator": "GPU"
  },
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}