diff --git a/Brain Tumor Detection/Dataset/README.md b/Brain Tumor Detection/Dataset/README.md
index 2f3c600cf..823020f37 100644
--- a/Brain Tumor Detection/Dataset/README.md	
+++ b/Brain Tumor Detection/Dataset/README.md	
@@ -1,6 +1,28 @@
-The link for the Brain Tumor Dataset - https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection . 
+# 🧠 Br35H :: Brain Tumor Detection 2020
 
-It has a total of 3060 Brain MRI images . 
-- Non-Tumorous Images - 1500
-- Tumorous Images - 1500 
-- Additional 60 images in "pred" folder . 
+![Brain Tumor Detection](converpic.jpg)
+
+## 📝 Abstract
+
+A brain tumor is a formidable disease affecting both children and adults, constituting 85 to 90 percent of all primary Central Nervous System (CNS) tumors. Annually, around 11,700 people receive a brain tumor diagnosis, with a 5-year survival rate of approximately 34 percent for men and 36 percent for women. Proper treatment, planning, and accurate diagnostics are crucial to improving patient life expectancy.
+
+The dataset focuses on automated classification techniques using Machine Learning (ML) and Artificial Intelligence (AI), specifically employing Deep Learning Algorithms such as Convolutional Neural Network (CNN), Artificial Neural Network (ANN), and Transfer Learning (TL). These techniques offer higher accuracy than manual classification, aiding doctors worldwide in efficient detection and classification.
+
+## 🌐 Context
+
+Brain tumors present complexities in size and location, requiring expertise for accurate analysis. Developing countries often face challenges due to a shortage of skilled doctors and insufficient knowledge about tumors. An automated system on the cloud can address these issues, providing a faster and more accessible solution.
+
+## 🔍 Definition
+
+To detect and classify brain tumors using CNN and TL, leveraging Deep Learning as an asset, and examining tumor positions through segmentation.
+
+## ℹ️ About the Data
+
+The dataset comprises three folders:
+- **Yes:** Contains 1500 Brain MRI Images with tumorous conditions.
+- **No:** Consists of 1500 Brain MRI Images without tumors.
+- **Pred:** Includes an additional 60 images for prediction.
+
+## 🙌 Acknowledgments
+
+### 🥸**AUTHOR NAME:** Ahmed Hamada
diff --git a/Brain Tumor Detection/Dataset/converpic.jpg b/Brain Tumor Detection/Dataset/converpic.jpg
new file mode 100644
index 000000000..68f1f62b0
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diff --git a/Brain Tumor Detection/Images/cnn_plot.png b/Brain Tumor Detection/Images/cnn_plot.png
index 19ff840d2..080062ed0 100644
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diff --git a/Brain Tumor Detection/Images/resnet50.png b/Brain Tumor Detection/Images/resnet50.png
index bd14fb184..849e8dfbf 100644
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diff --git a/Brain Tumor Detection/Images/vgg_plot.png b/Brain Tumor Detection/Images/vgg_plot.png
index ac9aaef75..a50f5c4b1 100644
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diff --git a/Brain Tumor Detection/Model/Brain_Tumor_Detection_1.ipynb b/Brain Tumor Detection/Model/Brain_Tumor_Detection_1.ipynb
index eb5500b71..878d631a3 100644
--- a/Brain Tumor Detection/Model/Brain_Tumor_Detection_1.ipynb	
+++ b/Brain Tumor Detection/Model/Brain_Tumor_Detection_1.ipynb	
@@ -1,31 +1,10 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "provenance": [],
-      "collapsed_sections": [
-        "b6W3zLlkvOfp",
-        "PClxWAAVH7G2"
-      ],
-      "authorship_tag": "ABX9TyNpWlrceqcw2KWrLUz5RbRq",
-      "include_colab_link": true
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    },
-    "gpuClass": "standard"
-  },
   "cells": [
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
+        "colab_type": "text",
+        "id": "view-in-github"
       },
       "source": [
         "<a href=\"https://colab.research.google.com/github/Abhilash1781/DL-Simplified/blob/Brain/brain_Tumor_Detection_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
@@ -45,27 +24,20 @@
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "Wav9xOO-GPac"
+      },
       "source": [
         "# **IMPORTING THE DATASET**\n",
         "\n",
         " First I dowloaded from the given link - https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection\n",
         "\n",
         " It was in zip file , since we can't upload folder in google colab but we can upload a zip file . Below is the code about how to unzip the file."
-      ],
-      "metadata": {
-        "id": "Wav9xOO-GPac"
-      }
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "from zipfile import ZipFile\n",
-        "file_name = '/content/archive (2).zip'\n",
-        "\n",
-        "with ZipFile(file_name, 'r') as zip:\n",
-        "  zip.extractall()\n",
-        "  print('Done')\n"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -73,53 +45,57 @@
         "id": "rHHVPh5DaLA9",
         "outputId": "db6103df-f27b-4cbd-a7d9-2bdb2ba56860"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Done\n"
           ]
         }
+      ],
+      "source": [
+        "from zipfile import ZipFile\n",
+        "file_name = '/content/archive (2).zip'\n",
+        "\n",
+        "with ZipFile(file_name, 'r') as zip:\n",
+        "  zip.extractall()\n",
+        "  print('Done')\n"
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "Dataset contains two classes , \"no\" folder contains 1500 MRI images of non-tumorous brain and \"yes\" folder contains 1500 MRI images of tumor brain .  "
-      ],
       "metadata": {
         "id": "OcwpoHJeG6BG"
-      }
+      },
+      "source": [
+        "Dataset contains two classes , \"no\" folder contains 1500 MRI images of non-tumorous brain and \"yes\" folder contains 1500 MRI images of tumor brain .  "
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "Non_tumorous_images = '/content/no'\n",
-        "Tumorous_images = '/content/yes'"
-      ],
+      "execution_count": null,
       "metadata": {
         "id": "6_peeC_M_yf6"
       },
-      "execution_count": null,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "Non_tumorous_images = '/content/no'\n",
+        "Tumorous_images = '/content/yes'"
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "To find number of images present in each folder ..."
-      ],
       "metadata": {
         "id": "Qxwj6DcIHXMo"
-      }
+      },
+      "source": [
+        "To find number of images present in each folder ..."
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "print('Total number of Non_Tumor Images are ' , len(os.listdir(Non_tumorous_images)))\n",
-        "print('Total number of Tumor Images are ' , len(os.listdir(Tumorous_images)))"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -127,57 +103,48 @@
         "id": "hRuE40VY_34i",
         "outputId": "860ea600-8b33-4066-d633-4046237db24c"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Total number of Non_Tumor Images are  1500\n",
             "Total number of Tumor Images are  1500\n"
           ]
         }
+      ],
+      "source": [
+        "print('Total number of Non_Tumor Images are ' , len(os.listdir(Non_tumorous_images)))\n",
+        "print('Total number of Tumor Images are ' , len(os.listdir(Tumorous_images)))"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "f3P7VTpRDQ5s"
+      },
+      "outputs": [],
       "source": [
         "from PIL import Image \n",
         "import os \n",
         "from IPython.display import display\n",
         "from IPython.display import Image as _Imgdis\n",
         " \n"
-      ],
-      "metadata": {
-        "id": "f3P7VTpRDQ5s"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "Display random tumorous images which are present in \"yes\" folder "
-      ],
       "metadata": {
         "id": "pbJegpofHgO8"
-      }
+      },
+      "source": [
+        "Display random tumorous images which are present in \"yes\" folder "
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "folder = Tumorous_images\n",
-        "\n",
-        "\n",
-        "onlytumorfiles = [f for f in os.listdir(folder) if os.path.isfile(os.path.join(folder, f))]\n",
-        "print(\"Working with {0} images\".format(len(onlytumorfiles)))\n",
-        "print(\"Image examples: \")\n",
-        "\n",
-        "\n",
-        "for i in range(5):\n",
-        "    print(onlytumorfiles[i])\n",
-        "    display(_Imgdis(filename=folder + \"/\" + onlytumorfiles[i], width=180, height=180))"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -186,11 +153,10 @@
         "id": "-bE-iHk7DDnw",
         "outputId": "8fe8842a-e2f8-4874-da0c-d83be73becc0"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Working with 1500 images\n",
             "Image examples: \n",
@@ -198,134 +164,135 @@
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "y856.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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GxUZJB6cVIyj72elQu/XHagBrHBqtcTeUuae0nmZx2rLupi52k8LQBKb7aRkHmnm4WQACsl58tgdKEncN0oA0J41ZgVHzVUmX5cEc1YinDH5vvVHcYwW70AZo4fBHy1zt1Di9aNQBnofSulcncMDvWPqBH2rDKN2OMUAet+GZV8c/De50O8Je9tEzHu64A4xXhd9bPaXMsEgw8bbWB7Yr0fwVfTaPeQ6tGWESHbMo9Pep/i14Xjjlh8SaeoNpeKGbb2Y0AeTkUmKeRgkU3HFADSKWP74pDSp98UATr2qUdKiXtUo6UAOooooA9I/aBH/FdWn/AF5L/wChNXk4Fes/tAD/AIrq0/68l/8AQmryfFADh90E9M/pXrvwW8PRSXt14hvUxbWa/JuHf1rye1h8+4ihz99wtfR99FBofgWy0nTyhaVA8xWgDzb4n6pda3qTXkqFbdSVj46joK57SGMVsgx944rqPEGpW2qwQ2SRKptxhuOuKyoYo/kVQOtAGoq7cDtimO21CB1pl1KIUAY9qowXwluMHOKALisXOGrTs02JnPFUtoQhu3enPc4TEeSc4AoA2oCueD81WBIwOJFHtWQLW6jiWaRgoPbNaEEqvEA3JoAtK6A5p/lq4LjtVG4mjtyvmHCHuKuRSwTJ+7kJGOtAFC6hMjH0rIuh5JOeldCw2kjGRisHW4zG6MvPqKAMg2wlnV1BrchgAVBj5sVXtot6oQAK1IlKkDqcUASouxM7ae33N57USlo49xxjFZs1zJKdqHigC2zvJjBpWOxRk1BG/wC7wWNMeUqcZoAinn8rOOM1lyngsSSDV2fDg5PNVV/d53LkelAFRAhORUi4PSpiyN92MDNMaJgRx19KAIzkMPmqwJA0ZB5qlMDG43cL70B2VhtwQe4oAWUdSDyKzjH9pugCORV1pVfJB+cdqSzKrcbpht9KAO28Imzkgl0i8QIs4/1np6Vdgklu9F1PwjeJ5rDc1ozDnjpXEy35iuUkjOAOjHtXeaws0lhp3iW1IM1sFEm3uB2NAHhd9aS2d9NbyqUkQkMD3qpgAfKa9U+KemR3kNl4jsbcLDcJtkKDgN715Yy4oAbnilT71IaVR834UATCpR0qJalHSgB1FFFAHpP7QP8AyPNp/wBeS/8AoTV5QDwM16v+0D/yPVp/15L/AOhNXlK4OBjJ7UAdx8NPCLeJdcLS5W2t13u/YV6fqYgstIuplkysYKqx9qd4I0pfDfw2E2dt1f4A9cVifEe4W08OWWmwAoz/ADSse+aAPPYp/tckrrk88mtKOLBVg2MCora2it7VPIYMeA9WMADKA0AWngSSEtIMYqjGiLKSFwvrVh5zsCs3y981EJ4kJ+YGgCQuSmN2adCzI24HmoBcRSPtCnNW1iO0Nu/CgCbfLcD5pGPoK1rUFYlA61Qt03YxWrHiNBmgCC8jDofM5GKjsiICMHC9SKLp2aQY+73qq2RyDQBvO4kT93xms+6hDKQwz7UtlcEDDfhmo7i4ZZvm6H0oAhgVFOMdK01KouTg8Vjq26U44zUrSMARnIFADrm4LtjPFQIvPAqEH96Bg1fG1ISCPmPSgBjHKYHFVfutyc5pwYgEGo3PIz60AJIueQagfOMdamYgqcVSLNuPzYoAf5gxgjB9KiaaVXD+lAG5/mPFOdeMA0AWprq0vtNkiuYgJQPlYVx1v58c5jDvjPANb+z5uDUZRA28r0oAYxKj5sZA60sE/wC8DOAy+hqrcz7jxUMbkA5NAGhqjmSBXRQFTJIFd/4JvhqmhvaMch02sp7Z7152kodTEeVYYrV8EahJo/iHyS2UcjvQB3WkWoutM1Twde/MpUyWrMOdw5rw3U7OTT76a1lUq8bEHNe+eJ4fsd3a65ZHa6MBKo9K4P4o+HWjMGvwEPb3o+cr/CaAPMSMGnKfm/CkOSefwoT74oAnWpR0qJegqUdKAHUUUUAek/H/AP5Hq0H/AE5L/wChNXAeFtKbWfElhZKMiSUBxjtXoPx//wCR5tMf8+S/+hNVX4KabJN4qe+MWY7WMsW9KAPYNesWNzpelxLiC1wxx3A7V5H8UtRFxrIj3A7F2AA9K9Piv3lutQ1OeQ7UyEHb8K8K8Qzy614nkaBHYB+1ADrC2e3gwXb95zVpjcW6kwvkdwRU4Bt/3UyFJAOAwqQwb4wTgfSgDGudVdkEcsZye9U1cvKNrYXr1raktUkJDICBTFsYMEbBxQBatFURqRg1pRKJMjOMVThjEUYCrxV62jy44xQBcgXy0JA6U37SzSbe1Pn/AHYCKetQ+XsGe9AFuRd0fAzVSSP5wM8d6t2xZxgkEUlzAUzIB+VAFRWKNs7Go7slSuKQlt2SaLlsgAUAQrK3mg1KrPJJgVWVWZwa1LS2JOc4oAdBbhJAzZNLc4kbjg1ZwY2yDnFU7yUA5OB9KAKUxKAk8UkTrM6gAZ6UxpVmBGc1WAKTbkOKANufSZoLfzVIbdzj0rDaNlmYHGa02u7oxgJJx35rHYuJyWfkmgCZgQmRjrUhst0Bn80Lj+Gq5YhsN0pjT7soCcUAVWvUEm0jnpT5pgY8YzmsvU7SSJhLGxI9Kt2zl7cBxhgKAKUpO+jkipim8nihQvT0oAWNtq8k5pLvzIXjvYSd0ZBP4UpPOAOlTxOJFMLD5WGKAPVdE1VPEHh4g4JkTDDuDjrWZNJNqHhDUNAmjErod8RxyMelcb4S1iTRdWNlMdsch4Br0uFotO8TWkzqBBcrtbI65oA+eZo2R3RxhkOCKYvDfhXdfFLw4NA8WT+WP3Nzh0x05rhl4f8ACgCValHSohUo6UAOooooA9M+PuP+E6tc9PsKf+hNXafC7SI9C+Hs+pzA+derg+w7Vxnx7Uv48slHVrJBj1y7V30Nw1t4X0TR0Iw8YL/SgDP8T3H9meF0sz8k1ycivItPvp9M1/NuwLg5Oa7vxjqi6j4heEv+5tYsA+4Fef6RH9ovrm5z0JxQB0l/fy6ldm5uMFgOgFVprgIoI+6aopNsR2du9V57syLtEZPoaANXeSgbHB6UrqcBqxoJbuSZFJwg7Vt7nmkClcYFAE1u24VpWzgOKowoc4I6VdiX160ASTEGbePSkLErU0aFgaQK2dmKAG2+VbINXmnDJsIBqBIivVaVApkwRQBSltXDO+eMVXjG8kHtWpcohGB6VnXUsdnAH9aAJBbBecGr8HygcVUtpzcRKexq9IpXbt9KAK8shBasm7kZmII7VfuJMblPXFZkiselAEUKFc+9NkyGpkwl429RUpLsAXoAmtJdgIPOap36ssoYIcGrECBCWpJiZjtHagCjuOMtTYsMWJqW4ReB3pscCk7g2PUUAIFEiHIJAqKUqsW5UxiryzInyAdazbk5YhelAEKOrNQ3yvnHFNWLGDUj/NxQAiDe3tUxi2/Mo+YdKiRTuG3rVtlyoz1oAz9UWRwtwo/eIR83pXoGi60Nd8IJI43XViQQe+BXGiISs0J+6wqXwjc/2br1xYyt8kylRQB1vxOlXXvB+l6tszJEPLc46GvGz9/8699srJNQ+Hms2MqAmFzJGa8DPEhDctuIoAevQfSpR0qJe30qUdKAHUUUUAew/FjTpNU+Lmj2kaks9tGMf8Dat7U1NhqflEkmCHv2wKj8bQ3R+MWn3Nqm9obFWx/wJqzPE2sNJpt9dSfLNjb70AebajqpJvGZvnkYgGk06IpZgDILnJrHtR9rusP3bNdXEoUoqrjaKAIP7P3g/N70+OFVGMc/Sr/l5QkrUSwsXGB3oApXGLdfNVcFRzT7G8W7QlXw47U69i3ROD3qnpFqkLMehzQBvZZYwwPPerlqfMGe9URzyTxVu1bk4oAuA7DzUkfzvk5qJFO7cRnFWlxtyBQA8DA60iL89NUhutPXAbNAEMi43Emuf1seZAqrW/KzOCMdeKyr6PGA3agCXTsrZxgDkCtYAOqknBxWXYsBFjv2rQU71x0IoAqzW+6Qkn8qqsqq+3nmtJyFzlaz7lwXBUUAQyQZUkdqpM4IKnt3qwHkdiozzSPZNGN0nGaAKjMy/d5pUMjkhYz9aSZ1hBxzRp+oSibb5ZIJ44oA0rLSHuF3MDj6Vtv4RQ2m+NZCx9q7bwRosstoLu8iCRHlQR1ru4orZ4x5caFRweKAPnK40SeGTy9m1j/erOudMli4KkmvojVvD2n6tGwkRVm/hxwa4S++HskRLpOxH900AeSNGoyueRUIRg9dRrGitp8xV0wc+lYUkRVwRQAxIyGB9aJAVcD1qYZ2/NxioCzO2SOlAAxK8jqKz74+TqNreIcYI3Vb3EsRiqd+PM05z3U9KAPVvBl2bua4tM7o7iE8epxXjGtWrWWtXVuRgrI3H416J8Pbt/7WsNrcN8pPtWD8UdNOneOLtcYD/MD60AcatSjpUS1KOlADqKKKAPq25sUf4hXd84B8nTUC/Xc1eJ+Mbp1srpTwGkPFfQM8G7WdRk7mzRR+bV87eOVP2VwTz5pzQBzOiRgSB2XGOldJCgLFvWsPTwI7VH5zitu3LNHu6CgC5G2FwRTlQbSRTAw2DNSqu5DtNAFGdfkdjjgVi2c4e7Kjsa3rqDMZz3GM1g2ECR6gyE5JoA3gBt4zVy0YcLVRSFOAatQjEmStAGhGdr7OuatPhY/lqqCMg4qw5zHkUAKkbMnaggqcZzSI+6JsHmkUsEB75oAhmZl7cVl6hIRbFivetaSTc+DzWbqSk2Mqj+VABpT7oQ/YVqw/ez2rE0Q7oChrbiwiAHsaAI75yflA6jrVZYYwmZDVq43O42jIFV7oAgFugoArBo1fcoA21DfakZYwqpyKqyyHcQh+lMWJ2k2od7ntQBDHE0p3Oh2+grv/AAB4Nlv74Xt3GVtouQGX73tWt4N8AtJCl1qKgRn5lU139zqel6JbbJ7iKFEHCKeSKAKXivW4fDeih1RcYwsY4rxyb4la+LkPazhIw3+pp/xC8ZjxHdrb2ykWcX8R9a41DjAHfrQB63onxBt9dljF+ptr6M8MPusPeu3TxRpTup+1J5nTHrXzi7MoBHB9RToL2WKRZBK2R70AfQHiTQ7fVrP7VGiOcZ+UV47q+mfZpMhWUBu9dh4S+IDIgt5oy+OOa2fEZstY0mSaCEJJ9KAPHXxjg5qtMSi/Wrs6hGZM5Kmqc25o93pQBEBh+fSo54w2nzYpxJ4NNmYpaSj1FAGx4Cgmv723tbaQR3AkDKxrX+NNvPFqdo10o8/ygpYDrWB4CkaHU7eYHbtmAJ9q7r48QbrbS7kZIK45oA8PWpR0qJegqUdKAHUUUUAfZvytql2nfyE/m1fLvjuZm1WeDd8omIx+NfTcUgPiq9j7i0jb9Wr5g8cIyeLrtSP+Wuf1oAitsxQRArxitVZA0B2jB6VA8Y+z256cCpEWN2KlyFxQBYjcMgFSRPtPFRKoSP5DmhJHX7ycUAXnRZk5YH6VmyWIjcug+b1q9bsGkGVNWJ7ZZuBkGgDIj3KcnmtW15AJOagS3UAoynNXraHZxjigCRcs2AOKueUTFt4zRbFQ33flxUzSBf4aAKYt3hOexFSbsoFqfbLMPl+53qGVPLWgCJfmk55qtfwZtpSOBipxIByRTHdHUpIDg9KAMTQmPmOuDW6zYQ5ODVOKAWZ3RLw3erKru+d3x3wKAEjlkjy7D5RTJ42v7mOK3GS/G2mf2zD532c2j/72a0NI1O20i9+0vEXYcjPagCpqPhm4sIt82FJ5wa6zwD4NElwNQuo8oOVBqhDfS+LdbiEpIg3dO1egeKL5fDHhFzagjC7Vx60Ac942+ISaQTpmlFDNjaz5+79K8mub24umaW5neSRuck1BPM88jzv8zzHLbuuarPuB9qAEzu3DjJqOQEMozTsEsAvJJrW0bThqerxWuQrMcUAZUkr42EfjUGcAFj3r07xP4KstL0bzml2zqM/hXmVxwgzj2oA0NJ1U6bdiTYHXuDXrfhPUrDxJpt1HbRKk6Kcqa8Q6AHcMd6634Zaqun+KRFI+xJ+PrQBU1aM299cfL0Y5rM27oCc8ntXY+ObD+ztelB5jl+YfjXKCNWjO04FAGe+RgGmzc28n0qSZU3AbjSToEtJTn+GgCfwXIftiR7ePNFei/HCcf2NpcHfZn9K838DAya5bp/CZBmu++OkHlf2dg8bKAPFV6CpR0qIVKOlADqKKKAPrSO7VfiVcWpOC+nxkf99NXzx8SI2t/HV4rDALZr2bU9RWy+ONlG2ALjT1T8dzV5p8bLBoPGPn44lQMKAMWJzJp8EijOMZpUlVWcFetZ+iXm63ERxgVuQwpMDIAPSgBIirQ/KeRTgGchWPFMW1kiZghyDTnSaNTmgDRtlVEYLyatRAswGOazLSSTymfBGDWtp58zJPrQArW6g5PBNCoEBLEkUy7c+cFXP1ps5MMADPnNAF+3UE5GcH1q01uDhgaw11AmDb2FXrW9YoDjK98UAXl/dKcGqkq/aNyDg/WmXEjyKWiV8dyRxTbKaxeTZdSsG9U7UAVxAEbZJx75pZeFGGyBU8+paNLK1m7NFL/wAs3Pesa31GO1v2tLphsb7r0AXptqQ5D5b0qCSVZYD5hC+hBqlqupLB+7wCmeG9azpb+Nrc7X+bHAoAybmeW31IbbgkZ6ZrpoNQSSEJJzkVws0rTXQz8pz1rpfD9uXm3TElRQB2ngq4lttZjYD93u71674s0j/hIfDsttGw3lQyketeMRebYTK8eSh9O1et+Gb5zYo8kpw2B81AHgWqWtxY3rWc8JVkOAx71ek0K8XT1ui0IUjO0tya9X+KGhQ3fh2XUYoB58AzwO1fO9xdXjgN9okKgdA3SgDe02zdrl5HUqEySK6fwPYvd6+btTlYWziszQZ3k8PzGSLLMMBwOfpXQ+HYZfD+lPqWCA/GDQBH498RyaprwsANkajB968+1AbbrywMqK6HU71bu6lv3AycgYrDt1aSfdIOCe9AEcqIluATya0fC0DSa9ay7S21xjArp/BHhCz129mm1G5SKCPtkcivRtC8IaTp2oyX1q6vBCuc9aAOK+It2JtRtVERyIwDmuOl2ruwMHFdN4pvk1PWbiZCNqHAxXMSqXcnOMUAIiQTARlcyHpgVX1zS5tOsS0qsqyetW9HeKPXoJ5/9UhG7NP+JPiqPWr6O3t1CQxLj5e9AE/wl0z7d4qh2j5YjuNbfx31KObVrW0jOTGnzVp/ArSzDa32qvgKDt59K82+I2qjVvGN9KhyqsVH4cUAcmtSjpUYqQdKAHUUUUAeyfFXUG0v4t6RdqcFLeI/+PtV3432JuNL07V0BPyhScevNc98dzjx5Zt3WzQ/+PNXpWoaePE3wlSJSGl+yhoyR/EBQB85aUMX3DYDda6y0Lwh0QgjrXIWyyQakqNnKnBBrrIn+bgY460ATszAZXIb2qHbNz8xJNTGQjvn8KsISwBBFAEcLzMFiz161u28Yt4eTyaz4YGLh8jI6VfRsHD0ARzwu2GX8qp3UMhQbgVHvWqWXgr19Kg1VWewJA5AoA5ySbyZljc/Ka0BceSo8sk57Uttpx1CwaRk/wBX3qrbrvdo24YHigDQj1S9a2aCKRVz2IqGKKRXBbktweKf5LrjA5q2E2Q7ieB1FAGH4gR54ggVS6jCsorn0M9xAYJwxdfut6V100W6TerZ9jVQWh8wyFeO/FAHJGeRj5Ujk7fX0p1za3UVutwqMYT/AB4rbn0eCaQyA7SeDVhhdy6eNNZlFuDkNigDj1dBIjuvXvXW6NP5Q3YXYao/2FEqMu7c/UU6ws5VfY2QuaAOttbhkuElYb4vSuhTxCWxEg8tegHp71zkKBLbaO3ei0Q/ackk0AeyaFenUtMFpfhZCVx/vLXC6j8HRLfXEloyLFISVBPTNWbaa9to1nXIUY79q9C0bU4dQtlKvulVeVzQBxvhD4fnR9LuLfVDG6Mcg+lcb401OKG4Gm27K0KdVFew61DHewG3e8aDfx8teJ+KvC81tqaJZb5nfjc3egDjb+ZpVVU4SojdNEoAAzj0rt4vhfrDwLc3oWODqwXqKydW0Wwsv3VpI8jrwQR1oAr+C45dU8Qx2LTuquOinFeyeJL2Dwp4fXT7bDSzDBJPNc78PfCdvYq+v3gKCJScNXP+K9ck13XpZk4hi+VB60AYs7kxHsxOTVJwPL5NWJn2g7vvHqKrSYwKAKIZ1LE/dFYF0DdXuxMkk4WtrUbgW8JAPzGtP4XeGj4i8XRGRSYIP3jkjjjtQB6zYhPBXwkDtiOaWIn8SK+bryc3F7LK/JZif1r1/wCNnidJrqPR7Z/3cQwwHrXjA4YcdzQBKtSjpUS9qlHSgB1FFFAHp3x5I/4Tq197Jf8A0Jq9A+E3iS31Lw+mlykCWEYGe4Nee/Hz/kebUdvsS/8AoTVzvw91xtI8Q27s+1QwDc9qANb4keHf+Ed8aGVU22twdykdM1VRxsjK9COa9e+K2iR+IPBn9oW6hpoFDqw9OteHaNqCvCIJc5XjJoA203v0XirKR4HQiqscjRsQPTirK3Py0AXYd2BjrWjHt8vJ61m2k+87SOtXVYK3zUAOlAXDincyIyyH5WFRTSBiBkY9qU8jrx2oAr2cn9nSyKrfKw5FUpEBufMXvzV25h2AP29apyAFdymgC8JQ4HsKhlYO+O1QxtlSDxSgqCOeaAGbFWTLZqVpgqFAo5p0o+QEAfWoJ1Ux5z+VAFQsUY7xlBzigsQ24LlT0pWVBGS2cVFb3nJRlyvY4oAeoDHrjmmID9oAxkCnF4vMA8wc1ZhRA4AOc96ALER3NsPIqRHNvLz06VGn7uUCpJjl8EdqAOil1f8A4laxowzjFWPDuqpp9uZJJNrHPeuVjYHh/wAKlDquA/3KAPWrTX7G+gjEgWQjB57Vb1XTLbWrVPKdUnTmNgQMV5CuqpAu2AMCOnNaVtrZjAn8yXzx0w1AHa3On+MJ7GSyS6tVBG0SlfmxWZo/gW00OQ6hrd0srryQemax7nxxq7QbY7sLj25rmb3V9Q1Bybq7kYHrzxQB0/i/xmLqA6dpkYS3z8xHeuBcsq5PrmnSvjjP4moHYuMDmgCGR2ZtxbmmPIZGAxiiRVAwx+aq13OtpHk/fI+WgDH1abzrsgA4Hyge9e7eArGLwV8OZtUujtluF3Z79OK8Y8MaTJ4h8VWloELZcM4A7V618ZtVTTfDtnosDBflG4D0FAHh2u6lJquqT3khJZ3Lc1lr9+nSNubNMQ/NQBOtSjpUQqUdKAHUUUUAemfH3/kebX/ryX/0Jq8vhcxSK65yCCPrXqHx8/5Hq1/68l/9CavLAeKAPqTwXfDxP8Ovs+7MwiMTD8OK+edZsLrRtXurK4Ty5Ec4r0b4K+IPs+pPp0kgVJRkZPerPxy0L7Pd2esxRkqQUkI9aAOI029F/p2D/rYqvIC4HH1rl/D9wY71sDKyDpXUQ/K3z/hQBp2qhRu7ip2mXb8/XtVHeccU8vluaALKujEAVdCAqAazIsB8iryy7xjNAFhQJUaMjK1ly26xSFGPBrRUNxt7dar3cA++3egCFbBW/wBXMh+pp/8AZzDP71AfaqvkCM71c5p+CRnc1AAyOh2n5gKXbuQ/LUO5lPenM8iAEdKAKku1WZDxmo4YnTOGUirmyKWQBzy3Sqtyn2C42v8AdbkUAQywRsfuktV2wt2SRS1QxjzpVbPA71orKpkVU6CgBszbbg1NwYw9VJV3T8VNJIPLC5oAc6jZnvUCs5yGHFRGU5wKQzSB8etAD2ChuB81KWwcg1IsPy76aIiXzuxQAEiVeVxQSFGDQ7barySZXigCtdZJ44qqk4GV9KtMpkXBqi0WyRVX5iTzQA9GjlkxMpGOc1zl7Ost3IS2Vj6VrX12lvGYv+WhPFZekaLe6/qX2W0Xcztg0Aew/A/QhFaXmv3KAOfljJ7KOprzz4neIf7b8TTsCfLiJRfpXtt+kXgf4YS2+dkiw7Ov8RFfL97O9xcs7HJLEmgCuxycelCffFNJyTQn+sFAFle30qUdKiWpR0oAdRRRQB6Z8fD/AMVza/8AXkv/AKE1eVA8ivVPj8f+K6tf+vJf/QmryoGgDV0TU5NK1KC7jYgxyBuD29K+ntTtoPHfgHEfzPJGGQjswr5PRvmHcDtXvfwY8TtLaNosj5zkxn0zQB43eWd74b1V4JkZHhbHSujtLgXcIlU5JGTXZ/G/QJUuYNXhizCw2ysBwD715ZpF81pOImPyNxmgDsY3XZwc0FzuBPSq8LqrlRyG5FTOSw4HFAFiOXcKd5vzgbjkVUjIVCfTrRCHkk4HHrQBs2c4JKscZq3OqtB1zisqBW80BeQK2VVSnbpQBio5ZmDDAFOD7eM1JNEUlPfiqTvs6jFAFySLKbqYU3Rk5PFRPcsYgF6U62k3gqetAGbl/ti+g5q5r83nWcblMEDG6lMLLeLleveofECv/ZzJkZAyPrQAugMv2GVXUM3apUQxbjjGTWR4a1BZJ1hchcjH1NdTPaf6G7kdKAKMYwwZunrUZYNMRuAB4qaCUSW7KSBiqLMFkIOKAJNihid2SKliTOSRio1GE7fUVoW8KtCWPJxQARgFMZpoZQWUjmlgAVjk4ANVppd0x2jpQA2VG3dOKhYKKnaUmP5hzVRJBuIOKAHsRtxWXd3aWUbSMvzdhVqZsn5W6d/SsLUJRNcq0p+ROg9aAIZIhFaNf3JJeQ/KvtXrPwX8KTQrJrl2uxGyYwfT1rzzwvoN34z16K1VSLaMjeQOBXsHjfxVbeDdBXSLLidItmV+mM0AcL8YPF76heNp0DDyozyAeprx9jkk1Zvrya8uGlmcsxOTmqpNADadH98U2nR/fFAFhe1SjpUS9qlHSgB1FFFAHpfx+H/Fc2v/AF5L/wChNXlAr1f4+/8AI82v/Xkv/oTV5RnmgB4OOvTFbnhnW5tE1WK4t32spB61hA5FPXjgdTQB9aW11Y+PfCMsDbGMibXHo2OtfNGvaHPoWsTadcBl2MSjH07V2fwn8VvpWuR29w+LeX5Dk9PevQPix4LGuaWdY09Fe4gXLAfxLQB5f4TX+2ZUsGdUuDxGSe1dVf8AhHWdJRw1p5iYyXX0ryqG8NlIksJeO6jOFYdjXsHhL4qXslgttqduLraPvd8UActDbf6RlyVQdVNTzSqZAsS4FWdVuor++e4giMSufumojAUVCSDQBZtI/KQlupqzBKC+1jwarGUbAB1qkJG+0/e4oA1phsky2DWdfIZFLhPu1ech1XnJqC73RwkgZFAGbCoeIhxtp9mYkuMF8Y9ajhuonYJJFk5qae1iOHXGfagBNRuow6lmUBeeOtaC3Hh+70Odp0maYLxjpmsq70sTW6uT371Pp0KJHJAwBVlI6UAcPZ53TTQAhY3OMV6Np7/avDBd0fd3YjoK4/R7L/TL2IYVRursPB3iSdtGvNMaBJOykjpQBjWsn+kNFnK54qW4dUkwV/SmXFpPa3HmvGVJOafJOJSCVwcUAStGHhDIMVLb3IhUqxzxTvPX7IAcVlmT5zjvQBLLc5lxkgZp8hDKAgwarCIFg4qw5KICwxQAjElcHtVUDzJxFEMu3apHnIJ8td3FCalZWY8yX5ZccH3oAoa8kmnxBVIVyOcdq5y1t7nV76Gxs42eaQ7doHXPer099PqF8yxxNLLIdqKOvNe4/DnwFb+FrE6zqOz7XIuct/yxFAF7w7oln8NvBMk87r9q2FpXPXPYV89eKPEN1r2rT3M8hI3HbXcfFfx2dZuPsFoWFtEcZB++fWvKC5LEmgCNqTtSnmmk0AFOj++Kbnilj5cUAWV7VKOlRL0H0qUdKAHUUUUAek/tAnHjm0/68l/9CavJ85xXq/7QX/I82n/Xkv8A6E1eT9qAJBxTwec5qHJpwPvQBoWNybS6idT8obPXvX094A8UWuuaIlq8gMqjaQx+8PSvlZX4wTwK6nwb4nbQNTSV9zRg8gGgDv8A4jfDuOw1F9Ssoj9mkbc6qPumvPzqn9n3ASLBHQ19J6F4m0fxbZGESLISvzxtXm/jr4UuhlvtJUMn3tgHSgDkbO+W+tt0YAcH1rQSUhAjnJrgoZLrTrx0PytGfmFdhp9yuo2wKDDgZJoAunIPXIqHd+9HFSwcoQp3EHkUx2/eYwOOtAFpJjuANWLlRLBgnBrPB53HqKuhi8O1uhHX0oAyHjWGTcDkVIt3uwcfSnGJd5AywPXNWRbIqjcuB2oAJZHNnlh+VO0rD+Yf9knFO3r5RU9KhgIjlyhoA5cXy2txenJVzmtLwNODFdyK+JOT1qjqNgsmpTShcr1IFQ+G9Qhsr+ZPK3K/HBoA6Ce9nlm2yEsM9T2ptygwGzg4q+lpaXz7Ypgsg52k0+5sJlj3Oo2jgEUAZ6OBDgnNMRRJIcUrwmJfrU0ELA/J1NACFRE3QmkuWLxfNwKguvOgch/TNVTLOyb5DhaAJIwCjNnG3t61y2qXrzTlVXkdFFW9Q1g7vs8A+Y9PrXWfDnRdOXXItQ10x4XkCT7uaAOp+Ffw8NrEPEOsDaduY1YYwPWofih8QQS2m6fJiPOH2nrVz4k/Em3srYWGjSowK4JQ8AV4Ld3s15OZpW3M3WgBk9y88zSMd2TUBPBpc8U00AJnjrTc0tJjigBCadFnzFpuDT4wQ4zQBZXtUo6VEvapR0oAdRRRQB6R+0D/AMjzaH/pyX/0Jq8nzxXrH7QI/wCK5tP+vJf/AEJq8oxmgBBTs4puMcUUAPBp6sQTxioweKdmgDpPDHiCbQtUiuY5WUKctg9q+nfDHjLTPEdmnkTL5u3DISOTXyArEAY4rV0jW7nSLpZ7d2Ug5xnigD234k/Dr7Tc/wBsaTAF3D99Go6n1ri/BAtNJ8ULZ6oxWCY7ct2Nei+DPijZapbpb3zhJsbfm71P4x+HNh4pt/tukSJBdDnK9GNAEOpfDXbfpf6Vcfum6wL0YHvXK+JfCt3oMi3gHm2zn94qtnbVay8Z+KfBNyml6zHIbdDgFwTx7GvQLXX/AAbrlgVbUljMoy4ckHNAHnUSpcW5aHgj1piXQUGKQDd2rqJfCmjTTF9K1+HbnhWfvWTf6E1mSC6yv/eU5oAzg3l8uAV9qnYCSLeowKzmV45CrDOKk3Ow4Y4HUUADTBh5YQcnk0aczz6h9nVfmzx71LtiniKr8rDqajsMwXqsuVZTnfQBctltLKe9NzFiXYRsI61xGlWcl/rUlvZ2xMzMSBjpW1r19JDrAvFbzFU5I9a6jwfa6frGsx6pbXsenXUZ5jfgPQBu6N4M0XSrIXevSNHMRyznAFdAujaRqcISwkLRoM+gIrV8RWmja5or2uoXcC4H3hIOGrgZNZ0vS9NOmf2qHeP7jIOcUAQa7pAiYx26KSOp61hwqyOu8gY602TxYsLssOWA43NXK6p4idpDtfO480Abus6jawzq3DEc49fauUub271W4EMCM5Y/LGgPFXtC8J654tusWkMgizgyv0Fe7eEvAei+CrI3V0Y5LoDLzPjC/SgDz/w58MPsGkyax4gwgUblVutee+INZWW7kisiyxKSAc9q9G+JfxJttRgk0yxb92OMjvXirMWJJJ59aAFeRn+Z2Zj71EaDTTQAZpDRSGgAzR1ptKKAHU5PvCm06MfN+FAE4qUdKiWpR0oAdRRRQB6P+0CP+K5tP+vJf/QmrygdK9Y/aB/5Hq0/68l/9CavJ6ACgUlKDQA6k70ZoBoAeOKduPY1HmlBoAsQzNC6yIxV1Ocg16r4G+KUmnyR2uoSER54bt+NeSZpysQckA+ntQB9YpqHh7xrE1tLBHMrfxnH6GvPfFfwVltg93oUpkTr5H8X4V5XovibUtCnEtrLwP4c1694c+MSyiMX3ykD5ge9AHklza6nol0Y7qCaBx25q/a+K5lAjlmd16ZJzivoVpfCvjO0AuY4pd3GO4rlNX+Bul3W6TS7poc9FY5FAHA2+pwXEe8sM/WpTcRt/wAtFB9Ki1T4T+KdJZjApmjHOY658+HfEgYhrK4GP9k0AbsmuLCDFFCHYnHAp32q5kVSq7Cf4ax9P0vXLKbe2mzuT0BU1qRW3idnZ10iXjkZWgCfT9Gubu/LSoNp7GvS9P0rSzDHai3hErYG/gFa4CHR/Gty8UkFiYy/UGtaDwJ401CUtPMLXHGQcUAb3iTTvDWl27Ce8V5wOz15Dq9/YRyn7LiTnOSea9Ij+Cl7cyeZqerHnk/NW/pnw08G6IfMupVnkH/PRuKAPBbSy1PVpxDaQyuXPG0HAr1rwd8F3jmjvdelDIvzCEd/rXZ3fijwn4btybKG2MijIEYH8683134zajdb4rNPLUggeooA9h1HWdI8KaT+5WGNUXiNSMmvDvGfxTuNdDQQIYoeQAp61w2peINR1Nj9puHfJ6Z4rKZj0IwKAEld3Ysx3MTTTSZozxQAlNNKTSZ4oASkpaTnsKADvirojTAO0dO9Uv8A61dR4Rhjn8X6NFKoaNryIMpxyNw6+1IaKcmgapDYrfSaReJaMARO1uypg/7WMfrVAoqqcKBxXvl7fvN47u4NO8but8Z2gXR9StX+zOckbMg4x6YGffnnw7U4ZbfUbyGeJIpkldXjT7qMCcgZ7CqAor2qUdKjXoKkFIQ6iiigD0j9oEj/AITmz/68l/8AQmryjgip57medg880srdAXcmo8n1P50ARY5pegqTJ9T+dGT6n86AI6XIp+T6n86Mn1P50AMyKUH0p2T6n86Mn1P50AICacDSZPqfzoyfU/nQA/NKHK8gkGo8n1P50ZPqfzoA3NL8SajpT7oJz7DNdzpHxo1eyVVnjEijse9eVbj/AHj+dKGbH3m/OgD6F0z43W11gXMYjJ9K10+Lfh8EiYIxPcKK+Y9zA8O350b3P8bfnQB9TxfFbwm5++AfdRVtPiLoMiExzJ09AK+TfMcH77fnS+fL/wA9ZP8Avo0AfUt98RNJhRJIpkLjsGrJ1D4x2UShYVBOOTXzh58p/wCWj/8AfRpN7k8u350Aeu618XLy9jdIX2++a4K/8U6lqIKyXD4+prAy395vzoy395vzoAsPPK5+aVj9TUe/B61CWbP3j+dG4/3j+dADyc96Q5puT6n86Mn1P50AJzRS5PqfzoyfU/nQA00mKfk+p/OjJ9T+dADCD2qVmj8tQPvY5puT6n86Mn1P50AR4549a29I1KXRtVtNShijlltZBKiSA7Sw9cYOPxrJBPqfzpdx/vN+dA7norfFfVnvTfS6Pocmogkrem0/ep2GCG6jtkHgCuHuriW8uJ7id980rF3c/wATE5JqmGb+8fzpwJPegByipBTBTxQIWiiigD//2Q==\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "y810.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "y567.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "y87.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         }
+      ],
+      "source": [
+        "folder = Tumorous_images\n",
+        "\n",
+        "\n",
+        "onlytumorfiles = [f for f in os.listdir(folder) if os.path.isfile(os.path.join(folder, f))]\n",
+        "print(\"Working with {0} images\".format(len(onlytumorfiles)))\n",
+        "print(\"Image examples: \")\n",
+        "\n",
+        "\n",
+        "for i in range(5):\n",
+        "    print(onlytumorfiles[i])\n",
+        "    display(_Imgdis(filename=folder + \"/\" + onlytumorfiles[i], width=180, height=180))"
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "Display random non tumorous images which are present \"no\" folder "
-      ],
       "metadata": {
         "id": "SNTtgrFZHrFq"
-      }
+      },
+      "source": [
+        "Display random non tumorous images which are present \"no\" folder "
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "folder = Non_tumorous_images\n",
-        "\n",
-        "\n",
-        "only_non_tumorous_files = [f for f in os.listdir(folder) if os.path.isfile(os.path.join(folder, f))]\n",
-        "print(\"Working with {0} images\".format(len(only_non_tumorous_files)))\n",
-        "print(\"Image examples: \")\n",
-        "\n",
-        "\n",
-        "for i in range(5):\n",
-        "    print(only_non_tumorous_files[i])\n",
-        "    display(_Imgdis(filename=folder + \"/\" + only_non_tumorous_files[i], width=180, height=180))"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -334,11 +301,10 @@
         "id": "g44yRytnDOaU",
         "outputId": "a167f029-af0d-4d90-e3f2-99af34f660ad"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Working with 1500 images\n",
             "Image examples: \n",
@@ -346,112 +312,128 @@
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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oEpl9NgoUE4/Mfn9a6I0Hh3cbO27b7h1yAfj7mMEZA7/yoE9J0y30KwisLVAshQBiPtTwRonXGCOpNIhi6+vJ0d+o/ShmcryA9qBYyLMQpPSlFiTOBTOHnDEtgAdqXWcg+05NA4lcRkCM04V4p4TzYDUzysuObofNZNgfkOP0oGMwdSQe32ppFc/h5ebPSnlyrDJJqFaRjdhfzKD2oJqSZCPWPQd6iZ7lmm5ySV8U9vHQW4UdOlNLK0N0+TkrQZ2NnNeS884xH4qwW34e0HJa25JHnFeQW3pRBVXpilI3dQUijA+9B6ZrmTr6bEZ7VYtvbbuTNHqf4OTkBz1HSoALc8vVseau2yN+XttNHod9DE8LdOYjr1NA43il1+yxIpRYwuCD371QIAk8Rx/erzxQbTZAhSeVCy55F7d6pFnBJKigDAA6UCkc3pD0pDkYpG4KygiPOT8U/wDwSE5kOMUtHbWqoexoKXq1oYhljgn7UxjdhCUI64NW2/0v8SSVPNiqxfWjWcpV+nxmgdaNICDCuQT3q+WmoR2enmFOjN3xWudLkMNxl2xntVst7osgBINApIyYLt0JoimCA9e4pGWRVX5NMZLp1kCr1yaCZWXmX2nBp5GUW2Jcj9ajYPcq5yCacSNiPk5sCg8jk95YHrnpWMks85MUZC83Q5+KwRgh7Z+9YzQO7c8bkfYUF02bq20NAs5tP3LJ+Jhu15WA/hrl76gOBX4DU5t3bQuBcaTNmSSOMkkZbp+hGR/St3JpxZc+kJA3fNeIqIH0e/XntbgEcrdQKDS30ycfk0LUptjbt1Az6fM3pgyAAYYgY6+RUt9Tv0+2VxEd3bUjWS1nWSeORMkAHBGa1txt4StszWhrWk2jxowDo6dArA58Vuv6ZeNun790d+G+9hFK5RLZC2SVJyMig4SuIJLad7eVcPGxVh9xWFdFfVJwNk2JrUmo6dbP6MrswC4wVLHB6faude3Q0BRRRQFFFFAUUUUBRRRQFFFFAUUUUBRRXqI0jrGgyzEAD70GxOCGx5947xtP+XMkFvMhfp0PWujvqS4h2+0Nq2e0dEf0Zyix8kfTLDp1xSX0+7VttgbDuN1aqojlMbSKzd8jJ81pPUdRueK/EySSQtNbWsr8ue35u/Sg3B9JnCLS7XUf+Mt8cqqDz5kIJIyp810rxl3ZtLd0cUe135IbXoq4wDWpbC2bT9Jhsuc4IHtH6U5/BmKEGJOXFBnBJGyAS/mXoKXb0yMoBn4pmsDXIyvQr060qsNxAvqg85+1A2u5QhwPaR3qOa+ljl5g2V81LXNst3CSSA/xVfula3mMZXsaCatb+OQghsE/NPRKp/6ZqtQHOCBj70/t52QjL+2gfXUoVDlSTj4qF5I/xHMcg+KlJpiRgEFT0poYQ0uT1+MUGNxzyoFHXNSekxYTl5OtIegqKG/1qRtCIo85wTQSSyxonpqASO+aSmljQZHf4FNZboR9D1b7UijzSOGC4FBJJL6yYIIryFvwl5HcpkFWBzXtozyMEKAivbxeT84Ix2GKCY3JPJqtjFKxzyqMnFRdvMI4QEPuAxVj29PbXWlvHqKII8e3rg1CQnToNRf1M+hzHAz4oEVW+upOWNT16Zpx+wNbkXMRU/YNU9LFaT23qaVICcds9agJL7VLSYqs7KR3zQYfgtUtP/i7dgPkVF6raxXyElCGA6Gp865eSr6Vw/qA1HXRXJBwM0FKaGSCb0mByD0NS9jcyIvLKCfgii/t1MnOP606t4VeMFV7eaDJZEcEjORSMEfqXAYg9DTiS3ePDqOlYxyPFIHyCtBLW3pdnOMV5csgzjqKbmaKTDJkHzmkbq5Cx8qsKDx7lEJCnFew3jHrzdKhpr1Vcg9T9q8huLqd8RKQpoLrpVzAzBA2Q3ejXLHmQhMc2MqahdP9SIcvXmqSlu5JUCsDzD7UCt1t2w4m7VuttXsaC/iRzETgE+3Awa4e1Xb27uDG/wBmtlmiktbjmTGcuFOcfc13VsgtFvCyvc+nH6qCT7jmGatP1t/TXaavt2x4k7Itlmb0nuJihZsHAPXuKDW2kbh0H6jeGS2lyEOs2USAlgAxwvXv171wZxA2nfbP3LeaXdQMipIeQkdD5rcXADic+yuIs2nX1u9ukpZHUgAcwOD3rY/1acLo9X09N5aLbho58Shlyf4ev28UHGNFBBBwR1FFAUUUUBRRRQFFFFAUUUUBRRRQFXHhVtSbdu7bWyjjLpE6yP06fmFU6ukfpT0mKCO+1y5TAUNysftigvH1AboXZGxYtrWcqpK8LJgfJH/3qpfTPw4urhZdwXsTEzYfmYDsRmqbxavLnfvFez0S0Z5l9ZE5R264/wBq7l25w/g4e8LLaadPTnnijIBxn8tBrzUCv4zCp7UGOleJeYHuA5e2aC/Orsx6k00kjcjC0C3MA+Y2wucnFTKLa3Nt6VscOB1qrW14UmaKX2nwakra6eBw4II8YoPXjeKQqQcg96i9ct+dC3Lgipq5uzdEdMGmOoxMID1zkUFdsmkHtZulPi4VMrisLaxYHndcDxS7WRZxjOPtQSFnCs1mSyUjEiISC3b5p7AyW1syMepHTNRnOzMxWgXmlGVVX6npT1fV9IKqBnIqvxPILgmTqM9Ks+mjmj9Q+B5oFIbVI4+ebq5+a9WJi2c4WrJsfaNzurUTDI6rF5YsAB1x5qw7t4XW+iSYs9Wgm+QsoOKCj2y+i3Nnp80peFJoyVYH9ayGmSwymEAuR8UnPY3yMI57JwGOByjvQIxGQRFUkbHnB6ClrW2/EIQVyatUPD3W4duNrT6fLFBy5DOO9VnSboRyyLKMYYjtQewXVxo868v5Ceo+1Sd/DFqduL2ADmx1ApldxpMec9VNYQXVxp7ZiwyeRQN44wWywAxWEys7HK/oakry502/h54g0cw7jGKj2cLCfXOCO1BCai3KcOQMeK8s75cemAR96ZatOryHDZAJxWVkkvLnAwaCbimVhyM2QfmiW3UDK9vNR8UoVwpFScLJL7JX6Y7CgaPMgBWPqftTaaF3T3Mc/FSNxbEDliUKPkmmNyDBEeVwWoGK2sQb94fdUnaII8YQYphar6zElct81J2tvK7AePNA9inCkD0xn5rM3BdwGwuK9iiRDhj2r1jbAksDgfFBJaA8p1m3ihTmDOucfrXcG07fSNf2E20NejR47u29JA/gkYriLa8F3b3B1CJlCp1HMfNWG74obmNynJfhDbt7eUkdv50HLv1l/T7qvBzezbk0m2kjt2uGcFcYKlyc1tThvrlpxY4R/su7lE00NuxUdznqK3Fv3cekcbthybd3JynUrdR6b4xnA+TXIvA/V7jhrxDudnXxEURcxqD1GCwI/tQc38QttXG1t0XunSwtGqytyZGOlVuuovrF4fvp2oJuOLBSR2bKkEEHFcu0BRRRQFFFFAUUUUBRRRQFFFFAKpZgo7k4FdRbUtdZ2rw5kvbOD00dGJJHc8vaubdvWY1DW7KzJx6koH9Ov+ldccWb6DbHDOy06F8Gbv47rQVr6Ttmf8Wb/m3ZuJTy21wkhJ6ABSc/5V1ZxW4hxbhvIdDsAFtLRfTHKc5xWl/p0sBofD2XUz0kuuZyf1J81PL++kkuGbq7Gg9nADYiYAfevGU8gw2DXrDBHn70OrFeboaCPvrMOPUHUimq3c1sQGBwKk7puVA2f5VHzzJIhLKM0Cw1U5BXxXkty12Rzycoz0qMypHs71lHIVOGU5oLHa2KPGOaUEDwKdekkScix9Pk1AW18FwPUI+1SsV88sRHQgDpQM52kEpBOR4xS3Ipjywx0posgluMc+OvY04uGMYPMxxjxQRk0hjl/nVj0adZbflzn7VUppS8pwfNSmj6mLeTkdQMigvema9e2MJgs5fRGME+abPc6hPM0jXLyEnJpvaywznK4OevSpa3WKJe2TQMRc6gjZikwfkilv25rfOq+svMhyrFe1TMFn6iep6SjP2pK9sbWFBJIBzd8UFw2lxa17WoI9i7iliktJfYrcoGKx3zwP17bjLqtpIrWFyBIrY6e7t1rXcA/wDesdzCDGyHIK96se5+IO5NStItGfVrh4Y1VVX1D0A+1BBva3FjIIJ2DA15NDyDnHY0W9pPc8rzzO2OvWkdcvfw0HpRAnA60CTPDnJHN+lMNUul9IhcdAa9tbuOS2JfCmq5rGojmMcT5+4NAjJMsjtzjJHY0vZ3jj2gdKiFdmQ9/wBalNOs5WjL9cfNA9kuOzKAKVt70oQyLlx5plKodhHG5Lfapey00RR80oySO1Anc3lzKvO5x0qKluGlk9+f1qzR6aHB9Q4U/NR93poV2WNOYHyBQMLG9EMwjfsT0qyWrY9zMvKwqo3dpOknRTgeaeWepvapytlwPBNBawkfNmNubNOEtrNB6lxKG/7INVyHW4CMt7OvzS631rIQwnz9iaCZnvwymGMlI/tUY/pc/tBPXqaRmvbdSP8AmFAPfrStrPbSOFWUHPmgz9afTrpLmAHB6GtH8f8ATn0Hcmn710/2yNPGJTj+HA/2rfuoW6JaBw33rWvGTRRruyZyRl41JBAyegNBLcT00biJwdtr+OVZ7tIAWUNk+PiuD72B7W7mtpFKtHIykHxg12J9O1mm5NoXejzXbNJDCAqk5z3rmXizoU2gb41GzkjKgysw6Yz7jQU+iiigKKKKAooooCiiigKKKKC0cM7J77emmoilgsvMen2NdA/UhqQh07StPeMDJQdvnpWqfp30tr/fUEuekZ+Psa2P9UDs+49IszIERZYyenfrQbe2FG1lw5s7Ye0chHSnka8sQzjrWG3Y0GzLMKCRy1kzoFXIwKBVhEoySc0jJcKO/wDSspl5uU82V+BTaZQ3tjU48mgZ3TtI3tfP2rGC0luHAwceafWumlm5wpx5qQcRW6heXrQMYtMiRgFHM3wKkl0sJFzSQDGKUhiaOP8AEemVHyaWS7kk9vNlexoIttNs3B5QRTU2BtQzpIcVPXCwopIIHyM0n6NtdWzDnwcUFURwbjnIIx5qb05UupCpGcfNR1xb+iWUqRjsaw0u5kjuQyvgA9qBfVtIjkmIt/a48VX7gzW0nJICrD5q+2cC394knY5GamNw8ORrNoJ7YMZQP4RQa/0ncQhKxtnHzV0hvnubdTaTx8xHUMa1vqm39W0KdkuLWXA8lCBTKDUZoH9VnZD9jQbhtp5LfDXNwxb4B6V5qN09xyRo3WQ4Fa+0ze0sIVLxPUT5rZXDm/2ZrO4rQatcmNOcHBkA80GxdB4WS2uyW3RMWZyvMA3/AOK1hJIwvZWlVAyuQB/OtmcWvqa2rs27tdk200LWAjC4Ei5Nauk4icP95asLTRonjnYZb94CM+aCRGoYi5VUc39qjtXvIfwrCfl5iO4qL13X7bTrh7GLB5R+bNUzU9fluCyROT80Di41kwFo1PQ1Emd5XJJ6GmUsru3MwzVz4e8PtW3nfIYLWZYFYZIQkYzQY6FoU91Cbh88vepgrFZ2rAdx4rZur7Oh25pYtoPcyqA3TyK1ZrAGWRGwRQNdCtzd3bzkYAq67d0WTV7llSQBY+4Jqo7aADlHIyasthd3Gm3REUnIHoE9SiZNUay5+i+c1g8LWx9vVfvS+oobeb8c6luY9SRTqCS21G0JVgrY6ZNBXpirMeVQSaZLYpcSFQeRv7VNXWmSwlnIJ69xUVNyqScspHk0Da402aA8hCtnyKQj0mSRs+oVyfmnZv5IfaQGHzTq3njkXnBBPxmgapoFnnmlumJHjNPoUs7bpHkkU6hl08FfxNqxyetS8l7te2iX8Jas7kdctQQ09/6lucnAHTHmjUNs3WqbPurhY/3TRv1cfY06m1HR5XGNPfmHXoe9bD0e/wBH33s+50D1F0+WCJiMtjm7jH96DjP6d91ttbiVf6DcAcnOUX4K4NM/q42a1rrA3PEp5JiD0HhiajNzaHdbD4sJfgj0/XZWYdmH/wDjW/OL+hpxE4R2+oRQ8zpFGpK9c4H2oOBqKUuIXt55IJFKtGxUgj4NJ0BRRRQFFFFAUUUUBRRRQdA/STp6XW45rhwD6cgHX/w0t9S8/qcQNNQczBZYxj/zGpb6N9PWS/uZ8nLSnp+i1C/URIo4n6cJUyqSqcDz1NB1ds/Zt3qHC6DU7SIMEjYtj7VRz6iyGF+jK2CDVx2ZxCubHh9FpdlHygowIPY5qvXk0Gpp6rR+nMTkkDvQEUaNgF+U/FLQraxMfWPMfHSmq29ywURYcj705ttKv7mQ+tyRL/iJoMLi6x7I19NfBFPNL0c3n/NXt0IoU69e5r1INM0kFmkN1MfB6gUzlne6yHDgHsq9qCQvbuG5Bs7N8xp0z802ghmB5I1ySelYx2ciwkx+w/50pa3cqP6XKCw80Ey9npdnYmbUiTKQcDGai4o7Ylni/KfFYXjXF04jlYY6U+gtPQt8DH60EJqEKem2ADkfFVkuLaUknIq0apL6YZAuQfiqtNG0sh9vSgs227wGVX5jgEVs/Td322nRoPTDEdwa07osvpN6XbGOtT6szfmc0G/rDefCXdOnfsjdegRW8zqVFysQYgnpntWpeIf09QKJNV2FrEepW7EsIsBSFz+tV8TyAcp6ipHRdwaloc3q2N1ICe6sx5aDUGqaXqOiztZX9q0UqHBU01S8ubRlmt5Ckg8g4rpnTbjZnEHGl7rtfw15J0E8aLjP3zUFv/6TN3bbs213RWTUdOf3IUJYgYz4FBoB4bPV9QivtZsFu5E/+ZIAxH9anTLoejyi60W0jSYjqVUKab3mh6xpszW09nLGyHDKVNYW+k3F2/pJE3qHxigb6hqMtzOZpJGLv070vZ2HqwGaZ+XPYfNS+mcPNx6xex2FrYkyuwA6Hz/Kt97M+mu629pS7g3hOqRoOf0j3I/Qig1nwt4Kazvi+Fzcx+lYxEFpD2IyP9K6TfdmxuE+hnbu3rGC7vCpV5ggUg/0+9UPVeJsNravoe3IBaQrkEgcpbx4rXF1NLPcNPLIxZj3JoLlre9v2ksrTIeaQ5xnNaq1yVTPzxj8x7VPpM0eWYcw+DVf3AfVIZF5fvQJ6XI0Fwk3z4qzXRMiR3KjDAdqptjcMjhG6n5q36bOJIeSUg9OlBe9E27pm8NF9I6gkF2qnlRh0JFVK+2zrmiXL288POiH2uh70jGLyB+eCV4iOxU4p5Frurp1ecSle3OSaCMk1SSGQRS8y48NWM8lrddJYl6+VFXXbW6Nt3Uwsd1aMpDnHqxqM/3rPcm3NoK5m0i7lVD1AYDpQa2vNKicE2cnX4NRTW95ZyBmDIf86usukWseXW65seQajLqDCnmIdaBnYatE6+ndIM/NPIxp0x6nlPggVDSvFFICi9DUlauoUMIwcjtQSq2MDIGjkB/lTG2nm0zUwSzJFJ7WIOO9eLftCCphZT+lNr67N1DE0aM8gYdloNV/UttpYtPOr6QxeTm9TLDB7irf9Pu6oN5cPf8Ah+eb94I+UqxzgqoBq98X+GsupcIRrskgDmLPKO/cfauW/pi3Raba3pPpN/K4xJIOXweuM0GsOL23ZNub51CzYDkaTmUj71S66o+r/YccLpumxh5Y5Cr5xjpy9a5XoCiiigKKKKAooooCiiig62+jG2xDc3D4C85P/wDzVF46xvf8UbUQs3Irglvj3Gtn/SHEun7bubySHmPfqMfw1rXiHrMF5xMULEpxgsv25qDeG0ZAm2441uFmwvYd6m7exW4gBLgH4qO20NMTbiPa23I5Bz0qb0zljUO6cwPigbtp9/bkG3lwPmg2moTA+tdlhU1NdWTHBVlx9qZSXNmParkE+KBtDa2UKEM3u/uaVieQsEig9vzSLxlf3ir3pYRzOoZbjk+1A6d0jhJY8xxWe3dPa7nkneP2Ak5pFNHkvCOfUBGh/Maudj+wNJ0Y21teCW4K9TjHWgpWoNG2oGNV7efFSNvC3ocxywxUddho731JhkE+Kk1u1MIA6ADoBQQmqRRnJK4x3zVcvF5m5YhgVO6s8jsWLco8VGw27SBmIzigjrINbXHM0gIJ7VZ4ZoioIUdfmqjeI8c7ZPLg9Km9GljliKXE2CB0zQSzMzHAINKDI/P1pnGzxOeT3L4OaW/EorhpAST4oFknYNiMEMOx810b9LXGHUbbXYtra5dNPZzfu/TlwV6tXN7sOZXVehqa2Lqzbf3lYX7SEfvV7H7ig7v4z8Idj3Vi+6F0WACSPnJQfJrnHbHDDbOobge4tUiCh2HLg5HWuztDe33zwsgdow/PbgAMM/Fc5aNtPUNC4hGB7Yx27Tnz0ILUG2eG3CbbG1LGbdt5awyC3X1VyD05c1y59R/FifdW6ptO0yZ4rWE8gRcAY6V2rxEuDovDO5/DR4DW0nNjp4r5p7pL3W5Lu7J/jJINBHOfVwXXt5ryXLKPTbK5pP8AEEMRy9PgGsvUUjKqQKDF5UCch6H5qu6zLlgFmGM1KX11GEIzVfeITknmz+tA8t4opIQIx7h8U7t5ntnHqkgfNYaZbMEwuDS99E3p8yAEjvQWSxvI5owje6lbgQRqWlUEeKitvXSMgR0wR5p7e5lmCDJQnr9qBHEbt6iueXPQVIS3pmtPQNuSvzSH/K2sQSLDsfmvB+JkAxgD7GgRSy9vMrcv2JpO4hTlGJMEeKc3KzJF7ASxHzUZJFelC3p5P3NAyu7dQebIpzYGSNOaJQzDtWJguTEXuLfp4OaTtZXtm5o1OPNBLDV3iKi6sw9Wi13Vtu3hUwaKqzDuenWqk1xY3Cfv2Kv9hXseneooeGbnHxQbdO69rb42Xd7fnjWG5SP2o3Yn/wDwr5/cQtO0naO9bm7jh/B3ME7FZewYcxrqS3WbTdViKOU9U4JBxWnPqP2hEl2Ly6SORLjB5iB5JoL/AKvJDxT4Juk/LJNDbsQT1zgEVwfq1g+l6lc6fJ+aCQpXX30067LJDPsnU351kjeNMnIIJ6dP51o/6kNkPtDfdwUjAiuSWBAx1oNTUUUUBRRRQFFFFAUUUtZRGe7hhXu8iqP5mg7U4AGTSOHE1yQFLRKQcfKiua9zy3l5xOilncp6kwVGB7jmNdbba0pdF4MPdXCcmYUx/QVzTo+iHWdctNQmIlK3QKDOCOtB1Fo+3bjSdm21/dMwWQEqRTmG6WG3RznBx3FbRbeGjaRwistFutCE1wUcK5A6ZrVslw10qk2vIp6hcdqBSW8WfoMKfnFMriEInquxJHxTtvSYcrWx5q8YxwwsWA/Q0DOO6XlGZCceDT2E2s2AZCD+tRluiT3B/d9M/wAqk/wdjGQxf3fANA7FnG+MSsf0JryW0MYBRmyPvXsV1bxLhOvz1rCS99Y+jErFj2UdzQPLOye/PpqRkdetY3kK2b+iDlx/SsIbXU7ceq0UkA/7QxQQ8vM9we3k+aCN1B1kwJiCftSaSKFCQx4z5pCYq1yQnYeazZiABzf0oGd/BDjJXqaiVnELlSCBnvViuUR4MgdSKgLsRA8pXB+aCUtb/kQK2SD2p/bTA9sHNVeG5e36MOYVIWWpQluXBJ+KCdeRuYAdqkbC2abVrFYQS5lX/Oou2ZpSARV44V6NLrO99PtV6gTLnP6ig+jHAbS5bThxp8d2SfUjU4J+1a/4qypoW+rQ+uqLJIvtA+WrduztNGm7c0+1XA9OJc4/SuWvqj3BZ2G+7JhMGKPHnB7e40G+eJPLd8LLmUebSQj/APrXzR1yMHXr1WbBDnoa+mWyZbLevDNbcuJfVt2TBPbuK4A4+bHm2dvm6iWIqkjEjANBrN42YsI29wpK4mdIQhOG81jLDPDJkvjPWovVL42y8rNzMaDC8nZk5Ixk+Tio6KNvVAMhFIrcTE+oG89RTuELM4Yfm+KCZtI/SxyNTliJFIX8xHY1hAI1t8MuHx0rxGBBBYZ+aDHTrh7W8CyEYJ7CrAZHubiK3tlxJIRjPaq5MpQiSFckHqamtPmuJIlaEgSr2b4oJ3Vtuy6dbxzXIHrSKCFBqIea4tMLPayI3jp0pSTUNbfl/ETmQx/lJ8U/tt1X7ILfUYUl8A8ooIv8Xc3J9OFcN96RnSWH3T3Pu8KtSeqtFMnOjiBj2AqOh04BfWlOWHkmgztS1yvK8mM04/B20GDOoI+wpmqs0oZMEA9xRPcc86xF+mcGgUuZ9NjbCQgfyrOzu7dWIAx07U2Ho2t0DPH6sR+Kc3qaFdun4OU2zeeY0DfW7mO4gEgUhojnIqK4qbP1Lc/Db9sWmnG49EKOc+MVatvbMn3Jq8Wl22qQLFIcMXbvW7NZ+nDf82zJdJ2puiyS2MYd4ebPN069xQfOLhZPqml7pstatZcJHMI51J6qA3/2ra31RbKi3Ps+DdWnxI8voBmY985rS28NP1ThzvjUNrXd20E6zFzIfysSc4H9a6c4dyW3EHhDPpc8gkniiwM+fPig+ejo0btGwwVJBryrFxA0GTbm7dR0x1KhZnZRjxzH/aq7QFFFFAUUUUBUvtC0F/ubTbUgn1LhR0/Woitg8DtFj1nf2nRyIWCTp/LJ70HaPFSY7Y4IRW6oF9S2Qg+fFct6Eiu2kW9lcvFey3CsCD+nSukvqnkS22pp+3rWYyCS3RSmfuK520q09De2j6chVfSVXIHfvQdcapp2p22ztPTU7wPLynlAOag45GSJQ8RyBjNK380t3FbQLO59NR0ZjgVgrXURwQrYHkUCJZJDkTFT5rK4sDLDlZi/86UEtpMmJ4SrfIGKV/DxQxiS2mLf9kmgiLeREl9AABgcfepXmsxgTx4Pzio2+h/frMiHm84FTEcSyQLIwBcDsaB1p1hp7t+IIPKOuD5rz8Va6bqa31jaq7RnPIw6GkbeSS4b0BnI/hQdTWDtNbTenNEy/wD8i4P96CT1bc2pbicNPZxW4GPbGMCo6/kWK1PMACRUjZtbNETgc2O1ROuE+kRH3+KCBtwwdnyHyacpDj95Kf0FJQhYo+YqQ3ms3Ythubp8UGfNlu3TtimV7BHz8zIp/lT3lOOYdabXMbTLzAYxQV6dpElZmGE8UhDct6hMYCn5p9cxc+eY9BWFnp6s/NI3QdutBcNo3NrOEiuF5nPzW5Nl2g0DX7DVbKMAiRSSP1rQNq01pKGhPLjsRVsseIGs2oS3jYkqej4oPqntPcn4zYseqBgXjg8HzXz44/b2l1vf91HeScrRzEJ17Yc4qY2H9TGs7c0s6JfXrSRSjB7kDp+taq4i2F9uLXZdyWLtcRzsXPIc4ySf9aDtD6SuInr6WNAvLhXJYKoySepNJfV1sHT9Rh/attCPxRjzzAfcVybwC4hajsXfVpLcmdrf14+ZTkjGetdTceeK2j6vodvf21zEEaHJQkc3ceKDjLW9JvLCD9+jK47GqDf+u0pEvUfJrZe7d12+rLy2xXv8VQr2wkkTnDe6giEYocJ1FSWm5kk9iknz0qNkUxtyMuGFSthdy2aAeirA+cUEwVdFDHtWXNGV5gmPkgVhFceuB7eh+1YvJ6B5cnrQYjDkoHIxS9ndPaXCqXPKaS5QF9QEDzSfNG7AswGPNBdYJVuIARCMY70ysdPl1TUxBBhevzWWkyxy2ixRyHGOpryW3uLU89sXBH8Smgdbj0e50t0EgDgec5plJLHNYnkfDADpT7S9Re/V7XVJDJ4BY5NQ7wpDeyQKx5GPTrQIWc+UZFckmlyI409SQZc9qbiBLac8wIzWQmh9Tu2c9ARQLQ2vqe+Rz16gGsbixbzGGx2pWOZmIJXFZteEN3Hx1oGUMt1ps8d7a3EsDxHOUOK3BtbjHrdvbQI99MwChGyx69K1FcyiTmVeuadaFJbyRm0a7COD5NBpb6zNpRz6l/xrYQEZkWSRxjty9f8AKsfpE4j2sWpHQrvPoztylXBx+U1vjjLsj/ibhTdhoYp2jiY8ykE/lauHeHm6H2fvS10u8QW4trjk5wMHHXvQX76wNiDSd1vrtjbcsE3uJHbBY4/zrnGvoHx62/b7+4Uwa3pvJMy2yczDqcgZr5/zwyW8rwyqVZCQQRQYUUUUBRRRQFbz+k7Tmvd9xn0C4WaIfzzWjK6s+iDR7W41xr6/uFtYFnRjMfGCQTQWX6wNUutN1KxVJFh9NQOv61rLgbpd1vjfM2rSvzrboI0J7dGHWrD9amq6fd7iW303UxeRjKhh/wCL/wC1Wf6Xdv6bo2hS3eo8yMwLK4HU5xQbN1C2ktr/ANADHIB1HakWk7q0nXPinZuOe7ln5xLAT0J70hLAsh9WFMLnvQexxK4w4yKzEGGwh5MVnBMsZAZFYUvIbRgcSEE0DC4jaMZQ8zfpUhDbA2nqsffjpinljZ2wj94D83Xr4r2/SG2tisTjJ/tQQ+ntfx3vqaWA10p9oIzmr/bahtvWdIks9+2q2mpquIpUblz06dOnmqJYMLcvcIzLJ35h3pVUk1GQyTyGZs4BfuKDD8OtrcvHDPzxg+1qjtYefshyasUGkCCMySZb7VA6/wA6A+knKPmgYcsnodSCTSSqyIS2WJ/tWEMtwF6Dmz5NLGRVX3EUGVv1UlmwSKQur1IUKcvOWNOB6IUsrE/6VD3APr5VyR8UGLwPgtjq3israHkIBbl+1eFmlmEJcgnyKdy2T2SBmYyE9s0Hrvyx+ngfrS1vM6LymPmHzTVCxHNOpAPalAX/AICeSgWSfnm9J0wp81aNnatdafqK2s1wv4WTIIbtg1TPxTRz+njv5NTNqULIWkyehyPFBfdfRNFul1TTIVkDe7I7Cqlru4tU1xsXVywjHTk8U+1XWrhtLFmmSuCM1UZPWKHllP3oM57dPT50ycVjDMZoSCg5gKRaS6aP04Rg+SaRRbmAZkP60CVwqM+JEy1KKxVQoBX7mspWjmTmRcn7Ugnqs2JWAX4oH1rcPG4VTkml5nLHDrknzUY3NDKpjGFqXhCtCHYhjigQRp5AUEZ5fk0lNCqD2uS3xS5nJyinB+BWDnEZLAZ+aCw6BPPFbD1IhyipB9UZwywkKnnp0qB0OeWaMxlyUFTEU1vHCYmhByepNA50DSZ9TmluPdHEhyZCPbUbcvb/ALUMVvMJQpILDtVi1Dc3o7YOl6dbRxGQEM69GqP0zayjQ3u7U+pM3ubr1zQeTWltNH6nOMjuajbiWBRyiJVI/jNJPdSRoYZy6FfGKV03RxrMw9b1ViXxjvQN4/UuW5bOcyP5wOlKtp2qFggs5rmQn8sS5/yqxNpdtpyiJYVt4u3qD8xq67O3tt/ZrLcJp1vfyY/NOpPnNBRYeHe4J7dLzUYZrGHGeR4yCalNP2rpAdEktG6dGcE9a3fZ8UNq78/5LWNLtbY49vICBXl3w9s7r97o8gdG6gL8UFSh4ZruDbt1pmg6qxaWFh6RGfH6180fqN2BqvDfiHeQ3CsHlfm5mTHKwI7V9i9l7PudDmgvJQiJnDdR2rj/AP8A1GOEcF0JN1adaczNCZAygd8ig1b9N27dT3psSXa+oRGZSjID+ij4rmbjXtKbae9bq2aJkjkPMuRjr5rdH0Z750vb+ufsbV3SP9464OcnIxS/1m7YE+rftzTYMwfnDgeMDNByjRRRQFFFFAV2f9He04dy7LuYbsNHHh/cnQ/mauMB1OK7++j+3udM4fXdxGwCiJiSR07tQcqca9uR6XxG/ZFrcyyxyTHozZI9xrqPh7praNtFIyntIwCf0Fc87xtLjcvG2CJU583Lr7RnPVq7Q1Lh9q21tk2t/qKelDIParLgnpQU2C5ijjCoCxY4+1P7SSG1nVrgl0buq9ah4JfWQGJORM+afxyyREemgJHk0EtfWmjyur2lwyE91bpTW7sLmFPUjKSJ/wBlsmsBcxzey4t+c/IpxZ21mtyoW8MSk9VY0DWK6kiX8/I3waaX2ohUPqy80p6BV65q17j0nbC2Ec8NyXnwMlTVWhs7ZGEscJY56MaCyba0O81DSJLuUJEQuVDHHmoZLiSzu5IpipZWIHL2p4t9JdKul3V/+HgfoX7YqXk0vbehaeIlf8c0oz6obsTQMP8AiFoYfTKDr07VB6+7XMPqxDOR1qW/FadHGYvwxIbsxPaoe7E7BhGR6Z7UETC3px4brWEhDH2g9fFexQurtzPgV65ki65BHg0GZiKRFl6AjrmouWWNGLxjPzmpaQM9qXJGcVBRIxd+dgvfvQZwvHJcCZGwc9RUhePzhWWTmI8Coy1t+aYlu32p8Ymjf2jA+9BnEZ7hgsnKB8U7lzDHgBT0xSSCIAM2SftWDDmz+Yj5oEEAM3NKM9fFO1R1lR0B5c9aQhjHqdz1PmpBQY+UxydfvQS9zIi2I5ehI65qt3jmMGSP3HyBUvfzu1oFkXqQe1QxDrHlEwPv5oCC7aePoMY79KJllmjJQ9vBpNJeuFXFKnMXVlJz0FA0giuImLOQvwPmk7mFppAzEqBT0qW9zZIrE87KVbH2oEJ5+aIRBfy9M0506UvHyl8VHRNzzNFPIAPFK2y8txyKfb8+KCUKIvXmyTQZVWIoVyT0rJXjb90MYx1ag+iEaMAtnzQONvyiO4xIcAmrFKY5GHKAaqlg2JuUj25qcEjKwWM+2gc3UDTcqIennFK2d9daPKhtnJUfmDdjStq8MPuyOvfNI3c4uGKRICTQbo2im0dZ0p9T1fTQZIhnIA64Fa+3du61a8kt9Hto4YkYgEL1xUPZ7tu9OsX0ybnjVwRntUE8fMXmUlw2Tmgcyag94SZZC32PavVkCqVBzUP+IYNyMwIPgVKwWEojWYuMHsooPILm6WcGB2XB7npWwtD4n61oVqlvaSq7AYPNk1r6X93gSShc9lFN2uJA+EflFBtW54z7okiZJ2wvfKg9P70113cv/tJ2XeaLeSrLIqFVDd/nzWtjfXaOMdVPQg+asO1IHn1FDawMrOcMB56UHDd/ps3DjjIEmQxxNckgkdMFj/tXV/FLRI94cLE1GGMuBbyAn/y1rj6ttgNpWqwbmltnjMRVySpHdjW2+DGvWe+uC8+nT8ryRQPhVPXODQfO7UrQ2N/PaEY9NyKbVduL+gjQd63sKxsiyPzAHPwKpNAUUUUC1knq3kEeM80qrj9TX0S4PaYNK4LXtyzm2AtnwR0/xVwBs+2W73JYQMSA0y9v1FfQLWrsbW4BuHY/vbeTH96DQvA7T4NW4q3OryJ+IFlcuCzDIycnv/OuneIm+dX3VNDp00jLbW4AVOY8v9K0F9M+lG20y+1p+jz3DSf1rakkrSymRhnJ70DVVETBABjwKcMSuCzfyFKJZNdMCiliPApwNEvgDJIggjHd5OlAnFFzLzo3Kf8AOs47K4eQO9uWHy1JJuex02T8JpNi99cnu5GVWkbq01vUSbjWdUitY26+nESCKB9ewekgM86AfGc02V4/SyJPaD4rLSrLQIVeSe4muXX/ABEYqUs30a7hZ2X0xH15RjrighNUiV7NbmUZRT4pezuRe2kSRMyouBgmrnatszWNEksozJDeKOnNjBNVWC0SwneBpFbBJXHYigc3GmrLEOUnoKZvalFaJwRgd6fjUzzCJ0CqPinF1Yrf2/rWk4yB1UmgpDwGO4YM2VzRiN1IUnP3pzdQvBORMhyKRkVywJAA+1Axu3lEfIpbP2qI1CRUgCA/vD3qU1W7NoAy+4moWaVrmZWkj7/AoJDSsLbDLEufmnZlIwHbLfFMZGkt1XAwDXimN8t6h5+9BKRXKohUgZpWxkeOQySAFSOxqOtSXfldCPvT5l5Vx1z4oHpkVgWS3XBpPAjwzA9TRHHJJDkychrxorghQpBye9Atduz24DjA8UzhjSVSjsevapW8tpYrJGaM5wepFN7ZcKGlUY+RQRrwNG/KnUUuIDgH1M/alpVhMxMbEfrUfcli593KB5oHDiOMZL9TTSWaJex6mslmWSMxnHTzTWZcDB+aBreLH+dMk/NENweUYOcdxSrMQhhKdT0zTExvbueowx70FhtJYriPkHQ/3pwoEQKAgmo/Tpoo4+VTlj5qSCt6JkVRkjzQZWKM0/UA9ampiY0CcmAfPmo7SFKv6rDr5zUkV/GSiJWIJPQ0DqwtPxs8dqufee9Ia3FFtzV4Led2Afrk1a9paV6d9GbmRUCEHJPekOLeqaHqU8VpyhZY1ADrjrg0FU3Nem5niitQvJgZIHWmDyPyiCNiMDBwaw9XBGF5gvY147OAWAxzeaBbRrJ9Rv8A0FUhR3NS+sSWumzLbWtyXcYBFI6ejaZZtcmQZk/rUOxeeZ5n/iPSgeXM7ghyvN8mk5LohP3CByfmmks4z6bPymsMhzyh/HigJVvJxl7ox/YGn2l6hqWi3MF3b6m3tbPc01ii/ecrJn715cogQ28ae7uCfFBcuPWi6hv7hQ+qS2iS+lCuZMA9utaN+kLdiabql1tzUSsSSsFVCenUnxW7bTjDw/0vYd7sXX72QahMhVACvKDjHk/NcebeuE27xbiWylJR7lGJB6FS3SguP1i7OFpuA6va2/7vq3OqgDHSuYa70+o7Spda4exX2FYvatggfeuDGUqxU9wcUHlFFFBb+E9qbvfWmx+nzgSgkYz5FdtfUvcJp3A+2trcGItaS9OxzXIv08WjXHEKzcKCFZRg/wDiFda/WN69vw70+FogqG3boP5UELwZto9P4ewlUUM6ISf/ACirLzDCsXHMfFR3Deykk4fW0iIMekn/ANIpxdN+GjUFTzHz8UE1YbgsNAkW6ZBLMDkJnuae3+prvUrLrl3+EgT8sIOOaqjBbqziWUc7HqCfFPhC4IZTzD7mgc37xafywaVCttD5YdzUeXWWXMqs+e5Y09UwTYS4fJHbI7UqNtatL/zFiqzR+BmgYssUS8q4UN8V7awch5Y5Bg/NF1a6lakC8suX9OopASx5xzkP4HbFA8uIpbUGdWyR16VJWF1Yz6Y95NDiSMdc96hjMxXDEn+dZ2sqSI0SN7Seq/NBadA2++59Km1TS0aQwhiUxk9Khobq5tJnRkkR0OCpGKd6HuPVduArpT+ih/OgbAYHvVntdc0vWrR2u9NiW6I6uAOpoKXqMwnj9Wb8wFQ0chlcoPZ9zU1fqpu2hOOpOB8VGXEEkEoSTlGexFBB6tZyO3MrZxnrUVbJOJsRSAn71Zb2KNEKsC3N2PxUVFYrFIWYkk/FAmRJz4nbnP28V5HAGm6MFpX8DceoeQjH3PWnGm6c085UMCw75oFPQLlV5iT9qcvDKFVA3XsKcvaRxkJnEg74rC6blCrjr5IoFlQJAI5SC3zVl2LtK73Vq8FnbNlebrkZAxUBc/gY9NV43YyN3GKt9pqeocPuHlxvDTopGlVCfacHqKDYm++F/Jpq2Gncks8SHmEa5IOK0rfaXf6TK1lcQsHXuCMVtD6d+Im4907T1PiHrFlK9raI0kqykk8oLZ7/AKUjPqG2+Nf4/VNpq0V1aMVki5cdaDU8imXoIsMPtTK5tkYhJScnzUtLFPDcvbSjkeMkEHzim98C4UFAB8+aCJayCn0lBwfIppPHJA4iZyympliHxCPb8NWAt0jk5ZAGPcE0EPLHIqgBcimzdWEc4wtTd0qk+kDgnzTR9OBHvYtntQNE9OOZPTGVyO1T6g3KoiPyr5qGs7cwXQMpHL8Gp6HkedPSAA+KB7HbrEEijbnZsDAq7abt2HS9N/bGrMoVRkIehqpWc0UepQBl/KQTjzU/vbXVvLVLOFiEwMgGgg77X5Z9SFzauyW6H8oPQ1A7hnfU7yO5iTlC4zzU7dTBGvQY+MUxu3Wcj1MhR4FB6+SUMcmR5xTvTrZ7+7VSSY1IzTaztnvHFvaJhc+4k0/uriHRY/w9s/NMRhiKBTXJ4xIlnEOi/FRk04UBQnUUms4LGSRmLt161izu4LBQoHk0Da4kLNzSdceK9Sfp7XC0jK6N0B60mqpn35/lQSNlPIZ1LSZFPJ2VZ+flyrDqRUUnKOidKeQvykKz5+xoKPNwgstx76TVtSvgLNz7oWHQ9SaofGna2kbN39ptzpH7qEEAMvTJHLit7u3pXCSqmOo61qX6k9Nnls7DVoWBMUob+Qx/tQbov2fXOC8UqwtKBARzHr5r5+61b/hdWuoMY5ZW6fzr6BcCrk7j4NTWszep6cRAXv8ANcR8WdKOlbwuoxEEVyWGP/EaCmUUUUG4/pktzJvq2lz7VkUkfIBFdZfWnvbampbH0nQo4nW5jt2jbIHUkLiuRfpp1KOy4iWiTPhGI6fPuFdR/WbtLTrzY1pr+nRqsgt2fOOuQBQTXC/fHC3bfCuC03bqMsd48aekI+XH5R3zULqeo2l/cxz6dIXs3I5T3Na54c/TXdcYNkw6/BuKG1NpGoeOU9+gPStm7Kg0vZ9n+wJbX8c8HtL+Pj/SgUKoGURHIx3pxDcRO/otzK48+KWvJ7e7nD2luIl/w/Fep6UfuljDZ8+RQISorLjABHmldP1LULIkxTlEFR2oTIrfuZM/YUx/GSf9MyE/Yigssm5L9sl445k85HWmj3Wj6jn1o2gkPkYxUaJVCcrScuaTkduXlADj/FQObu0MZzBOHT9aaQycr8ySYYd6RaR4hlM4+K8EazgkqQxoJu1vrcD96C5PfFSGn3kX4lY4nblc1WrQSQNylCAfkVI27+m4eI+7vQTWtWiWsiyq4fm69O9RV64YKXOB360rJcFhzyOeaom6uRcSYZu1A+vniubIRxhUKjue9R1rbKIz6j+7xSMollKoGwPmlwnpAZbP3oEo4ys553JBp3AotZjMvc03xJI2cc2KVjX3/vCQRQOCpuHM6v7viveVGAKnLjwaRMb8+Y+mfishHMrhhgDPU0D6O2jvpIbR15HZgM115sbg9aaxw0t7TU3jlinVTyKAT2H2rk/b1jdalq8HoqDCje+Q9lrf2ofVNtThjtuHbWho17qkcYVnB6K2MHuPtQdLcPuDuzNv7Au9pvFHBBqEbRuMKCc5+33rX23eCO2uD+5Lm6sLbn0++cszrg4yMfArkfcv1dcQ9SnLR3cyg/lAI6f2qPsvq64j2oEF9dy3MPmNyOo/pQbF+obhu+ja2Na0EepZz9WK+OpPitNSovKC7E1sg/URp2+NMbTr5vwM3XCOejHGK17ehmuWUoORj0cdjQNGcMBzL0HmkT75Qykkj5pS6j9PERyR8ivDiJAnQZ80CEsiq/MygkeKytLk+rzekCPg17JCWQ+wD+dYW3ppkOxB8UGOoxBrhZ0HKuR0p2HjYIyMQRRIUe2YFSTjoTUNDc3KSMpwVzQWa2uPSnjY+6ltYuUndWXIPSoa1mkHuVKfrJLN72i7eaBjqF40YVACSawgQOvPJJyj9aftZNeH2Q8uP4jTO7sVgHK0vO/xQZG/eFTHbt6a+T5po0w5+dVMhz3NYCxuGI5zhfintvbpEvLnJoPYUUYnuBkHsBSF+7Sf9M8q/Ap5yBM8zYFM5ZIiSqjr8mgjwvL1c0rGxHVAD+teStIoJAXHzTYSKD7pD/KgkMs2DyClE55HARcGkbcK5B9QgVO2MVoOUyE5oG00LfhgZSQR8VTOL2mnUtjXJGC0cUhB+CFrZGqiFrPEUeOnmqjvKP1dkXwA7QSf/SaD36NtaMu0L2ylIc5KEfcZrnT6lbRod3mX0wqsSP7tW5PovmZNTvLRgSpnbI/m1UT6wLCO23HHIjDrIegH3ag50ooooL/wNYLxC09icYcf5iu6vqTtPxnBq1mGDi2l/wAq4I4R3C22+dPlZsYcf5ivoBxXK6xwJVgj+y2l6+KDT/07a/cRbNmtEmmC83LhHOO1Xq1hVy7gcpJ6nzWpvpxmP7Du4mY5EzVuKxPLE5A+cE0CgjSCIkYJI71EztM8hJnKr9q8vb705CJJc/AFMjLz9S3TvigdpDGzZJz+tZNBGejxD7EUhDKOXopFLC7dVxy5HagxaJFGCmRScgjVcZIFOeXMfqK4z8ZpOWBpVDjB+RQMzbrjnWfP2NLW0IB5g+SPFKmFFj6p/SlYYFROYEdaAj9QHLxhhWcaSc4kwEGay5Wj6kg/Ar1ZATyyxMfvQLzLEy5Ukt+lRM8MSMWLYJ8U/m5vSJicGoieYyAkjr5oMIi0k/IpL9ewp24Ib05QVPwKYWKSG4D2rcvX3E1e9J2x+3Is2nK0g/MxNBUOqPyxuS3wK8SZmk9KYhW7dat1xoEOj3aRPbmV+YBmAzik9y7Q0i7u7O9aR4YwcyMDgUESkMkUQd1PLjuOpNOo9Hnks21C4JgtlGct3IrYWsbl4R7d0O0XTS2oahGihwCGUHHXzWlt/wC/9R3JL6TOsFqD7YogF6Y84oDVt6zwo+m6HM0EY6NIpwTVOmlubmYtLIXkY5Lsck15E8cje3IIp1aWktzP6scLPGnV2AOAKBNoZI48SZ5j2NMWt5ZGIOQ3gmrJJqO2pIXNv6skkAPOSPatRu3N07T1nVpNLmZpXQ8pMWCF6ecUEZDE1u3PLIXcdiOhFWTRN53Vkyw3gM8OR+Y9RXurbXmspWurNTPbsP4epFV57cvNlVKHyD0oN26GuibriEdjKqykDII7VOScIdUZfUD+oD2I/wDzWitM1G90edbiynZHHfBrbO1uLOtyqIob79+vTlfzQYattG40mQQ3MjDJxgjtUPqmiw6ZCtxJeqnP1HN0rZEya3usLcalAquvuyq4zTTdPDfSd16XHY61FPEqfxxEqf6ig10bK6ktDJDdRyqR/Carzme2uCJAR1+a3I/BO2sdtqNpy3ErRjqXZmPaqHqe1NTghMV7bMJI+7FSKCFs5n5gwk6HxUxC0UP7ya4J/wCyKgpbb0h6QzzL5FO9PIVgJAWx0waCUn1SV15YW5E+3mmrP6ydwD5NEsGZAwX2nxSN5DLGnPApI80GSlA37yQkfalXv0GEih7eaiyZ2wq+3PzThbS4yCzKBQZTXWX97EjzTW4lE2BESP0p49qgxzoT+lOoLSIAelCP6UEQmnTzjlLsv605t9JWHrN7vvUq0XpL1IJ+B3p5YwwwgT3ABH+E96CKCwxr0UdOxxTmCeRcNyqR4qeg1HR2lX17D2efbUjf2Wg3Vr6+nR8jY6qTQVe7vfVtirLkYqA3Szts2/5gOUQyf5VO3b+kjQiPBz3xTTeVgttsO8uH6ZgkP9jQa6+jc2p3ReepfCNPxB5h9/dUL9Z9vF+1I5bdByiT838zXv0l6NDqG+bqZZHVWuASAxxn3Uv9airbXsEEbdOYD+5oOVKKKKCxcPyRuywIflxIDn+Yr6QSxftr6f7i3kw/JbSYPx3r5maBcG11m0mVipEyjP8AOvpfwUiTX+EOo2z3DS/8s+FP/moOZPp5uyl7q2mMekN26KPtit4WYYGSNvv0rQfDKN9H4sarpCYQy3DsV+e4rfLxy218UbIyM0DHUNOLOZCmBUc6LED4/Wp+5mIHKeuRUbcRxSr1A/SgaI8bIWNwAK9haFiT+KGK9h05JGK4x9qXg0Rmk5RF0+KDyKMu/NHcDA/vTyCBpjlpgoFPLTQIEw0hZfsKczafbwIeQ0EYwUEoHGB5pW2sri6cC3hJHlvApe1jsYn5525h/hp0t7EX5YD6SDwvTNA0k0uZZfdcKD8U5/ZVvNEee+RHH968kntecnJz96TEluz9UyDQMntprfnVmDDww81BmNlnZS/fwaldQeW3myrs0Z8Gou4wzc8Z6Dz8UEvo2kXF1OLeBBzyEACtt6BsjcG37AzTr6YlAwAO+arvArRl1/W0/EKXCOuDXSd/plstwllLmRVAAGM4oNFPpN9GxeaAyc3giq3vCPUhYmB7X04fNdP6dw703ULoIZcq3cdOlaY+p59vbKtF02wlzcElScde4+KDmPWru0s2aG0Xkkz1qvvzSvkA8xPUmnkqyXsgPp+o8hyPmrHabB1mKCO91Cwkitj15zjqKCD0fQ7y+uVS3jLqx9xx0rY2k6bDpVq1nHbq5dT6g/zp1pR0zTdPFtZ2ymQj8/L1zXunBjdMJmYByTQQWvaFattvUF0/TUty0T87juelac4A6YINxarC9qsmLshnbufbXQ99Bz29zYYJjlQgn9a1nsXaY0Dd19LYMzLczc7KT2OMUGxvSi5mjhUKPKnsarmubXgvuZrMLDcdf0JqxOsv4hw4xkU0uZGiIMhwv+LyKDWN5YX2mTGG+BRvDEdDXtpcz2Z9aJ+STuGFbFv7HTdVthFccsnN2k8iqzrfD7WtItfxcUfq2zHIbI6UG+vpz33oGuuND3FMpuSvKhc469a6BXRtKspTFcadHLDL1RvBFfOPTLy/0u7j1HT7uS3ngbJKHGa7A4JcZtP3foq6Rq96Zb62jVRzZySB16n9KDf+zLHalve/gms1xN0x46mtY/VDw2h27p765pESLDKc8q5+KsFtuaMDMCiGWI5BwcnFSu9NRj4hcOLvT70808MZKnz/AHoOCXLSSPM/cHqKygLCQSDAXNL6rpNzpms3lgWOFkYDJpmheLKyDJ+1BISXiqQIzk1i904TBbofFM45AzgGPBzgVMxWkTxhpI/HagjYeYuCY+YU/WF52UIvY9qVi9KB/bGCPinBuOUh44Sv3xQKppqOgDMAfIpvMUt29NGxWUmoufynBpB3ZT6k4DE9gaDILyD1JPdnzWSsWGHyQfNY26mZsgkA/wANZzM8TCMADNBjnHtDe2l47yeCMqr5U03EffmYEnxXhZUUo46Ggzl9SYoQwYsR0FJ8ZZRpPDaf1nClreXp/wCWgER3cAjY9WBqu/VBrSx7Ca1H5jBIv65Wgpn0YK82tz3MWApmzk+fzVHfWlIH1OAEjPP0/qan/oksi8cl3yEgSf71TfrGv1uNfgiCkESHv/5qDm6iiigUtpTBcRTDGUcN1+xr6P8A0f6q+t7Sl02QDE0XL06eWr5uV3H9Em4wxtLVLkKpkVH+3uNBrrflq+yOP1uRmJbiWUZPnq1bzv70XU0MsYB5lGSKoH1t6BpmgbstNy6drENxJC3qFV8ZbqP6GpvZOtf8QaDb3sCc2FGSvXwKCflRvVyy5BpIwF5MFcL9qeB0Iy2OleIwY4CkDPeg8gsowcvmnMJVWPXAHmkjIiMB6n8q8kMx90QyKBw9yqg8jnP3rGOE3XvklKL5JOKQX0lBkl747CgTPcj0wuF+BQLNb6YGxDIzOPOaxMSBhiVKndv7F1TV157GAscZ5cday1XYmsaYxku7Nk5fkYoIUXFpFj1Y+b74rLnhZwyRe39Kwufw9rGWuSpI/hqFvNyOMw2UXIvbNA43BMOUIAoBHbzUJAqopB6knsOtYxzSXdxi6mLE/FLlILeYrDk570G6+BoitZC8Myq55c4710/pUmi2+kyXF2Vadh0Z8Z/vXMH022SahuVIp8lDIgK/1ro3fOmWGzGbWtfvY008L7ICcEnxQQ9xunQtk6bea/qurASFWMSc474PjNcO8Td+ahxH3PPfTyO9sJWKZz2Jqa4s8S7zf2vzWuln0NMR8JGpyCMYqD0jbRKBvTKqMdPmgneFe29uXeu293uGY28EfcscDxW6uNfEjaV1pttt7a9vbNbQBVZ0jUE+3r1FabW0MNv6UijlHgdKwWztihEkJ5PnrQJy6hHMAtmoTHc4qQ0gzu3qEA480yW0jhHNbwnlHzS8epyQKAIgMdOlA8unaWVi0hTpjBqJ0zTZLfV2uyjYJzlafvM1yglK5NSFtDbi1Mt3eLaDHQt5oGMzlrsucgGmd/yyn0yDhulOEuoZJjFE4mHhx2pDVnltwOaE/Y0ENPp9xan91IxQ9cA1dNo7oto7GXStegaaBh7crkjx5qrQJdTEEv7e+CPFSKo6gDnVR5OKCrbt27DFdTXWkR4tmJIHkVWdH1fVNv34vdHna3njPXqQDW0lFskbIf33N3qt6vtyznDzwR8shycCg6d+nvjZsDeMUG2t94t9UccizkBVJyAMkn710nf8PtC0nb9ze6ddRXEU0RK+m4YEV8pla+0u9WaItDLEwKOOhrprgr9TGt2en/8AC+4Lr1oGj5FeRgMdf0oNecYbWKy3nd+grITI3b9TVJkmljbAHUjzWxOLd1BqGuS6lbssizEsGB+Sa1rdeopDuvMtA60tWlu+Zmz1FWSOOITL6zFY/NVOyvxBKA0Xtz3qxPfQTIv70AHHege3c9sko/Z8fMvkkZoOpyKh/cIQB/hpFJbdI8ROHz8VgrAgqqkk0E7ouoaAlvJd6npzMyj24Wo2OK21eWXUHjMUS55FxjtSRMq2piDjr9qTs7kwQmKR8/agTEnNI2SFUdvFYyt6jZHUjzUxBpNlfWxkjlVXAzj5qMmt0t3KlyCOlAgsRDCVSeYdcE1lK3rcuejjxTj04Sodn6/FJvbxtMJI2II70BYoZdThBX8tam+rXWDHp0NhG4y/t5R9wB/rW8trWEMt8bycmURg9APtXKv1RamdX31ZafaE8vqABR1OTy0HQn0Xbdex2S2pSQhDy83Mf51z39WF7Lc7lQPyEeoeo/Vq6w+nbSdU2/wpea5Y+n6WcFcfNcW/UVqH4vdnp83YlsZ7dTQalooooCukvpC3L+x9bSJioj/EIGBPcZOf865trYHBbVF07eFtmUpzyoR174JoO1PrA4eaPuDaI13R9OcyG3Dl/gkjqK1l9Ie5bPUbC52xqYUTKCF5u47AV1DuTSZd68Hma3uEcx26jlXqewr588P9QveH3Feayd+QTOBgjH8Q/wBjQdea7okuj6rJbuCY2PtNNVmMeUVQT96lNQ1o6zZQXPQsV71EmFQ3OzfzFAmFaeUL6OGNSl1ELG0CcnLIw81Y9lbLOqiS+ur2JYYwT+bBqE3O8P7Ua0t5BJCjEZFBFLAxTnk/ip/ZJbqRhVJ802ukPofuyT8YqIhvpopvTvSYhno3YUF5h1vXNLXm0a7aFseDUVq2ub01UkX+ryMp79RTGK5kHKVvoZVPYKeteSNctIHcgL5oI2fR558mS+Zye+TUVe6Tc24zGS/yatTG2j98fub4zTa8KvAWA5SR2oK5YRcrAEAN5zT2OBFuDzocn7VhGIoXzK3O3cYpSO4laUNIVAHig2zwe3Lp+2NR/GELG6FSCc+Kg+PvGPXd63o078e5t0OAqk47mqp+1jFC2F6Y8VUnn/aGoFRkdeuaB9oOkRIommh5ieuTVpCExgL7Bjpy0lDapZ2SmOYEkdetSeg2f41j6syxLj8zdqCNKNH0ldmpVHEaYI5lPg1KX2hMk3/L3CSj/EDkUwuLW7tWCTR5U9MgUCLzIYyqkKT4qKKOZSGY4zUwYfUISJBk0nJaTRSjlQls9RQe2iERdMgDtmnEUtrKDBqdv68fgU8kjD6eQ6cjgGo7T4pZZCF7g0CYhtre4/5dfTj8KKQ1G4muJVhb8g80vcEwXgUxEuawveZZ1JTBNAQJEyemB284pSO358h8kCvGHKAD0zXgeaP2RIXz5xQYkiJ+WBAfmsJMO2WTH6UvFa3MsojWPLt/hqVttDv5z6Ag9PPeRxgUFI1/RYruIzQDLDrVRW5n065XldkdD4raGpafLpNyYeZZgfzFeoqkbs0tFf8AFQrnJyaCTi1WbVrREmcswAHWktRj/wCXCYwfmonQ5mhK8xwO1T2oMGhEi4IoI+O15Ywrdc/xfFPjpkscSvFOH6fkJrAxlbP1ITk47Gmg94DOJEcdiKCViivbdOa4t/RU/FO0LoodD0NM7S4uJUCzzCRR2zUnbW4ueiyqhHbmNAll2HM2aUEIkiLRpk/NeXVvPF7XIb/w1iLgQRhCT18UHkF1JbLzc5XB7CrJHPoV7pyySIv4jAz0qrXXLyhWcLzVkuYVUL2xQObuaPmYRRgFe1NoppuRywGTWTOsq82OoFJS4hs5JD+Y9qC2aLxB2ntDad/+Lt4pdQdG5CQSRkVwxuHVr3e3FyGYKfddIqgdgK35vWWy0fb93qFwzGUqSAT81oThBBqm4eIcN1a2/qOZ0Le3OPdQfQDQrmfa3B30rlV53gJGf1r5ycVdUk1bd9zPJj25Uf8A9jXffFnW227wyjs7zCTfhieU9PNfN/V7x7/Uri7fvJIT/LNA0ooooCpHbt8+na3Z3aHBSVc/pmo6gEqQQcEUH1F+njcqattOSwmuBIJYwOTPf2iuPvqb21dbR4gW+vW9o8AMigsynH5jWxfpI4jvbG3trgo2GCdWJx7cVs76t9g3m5dtftiK2EichZWVQcYBoKbw23Adb25DM8yseXuKt4KvGR3J81z/APTdvWaxhl2vdWPrSxPye8HIBJ/3Fb9b0lmy5KM3Xl+KB3FrN9o1oyQ3DgSdCKbQsZozcOTzv1zWFxbpeSpCbkBfvUr+AFtEkca+on+KgSgYQp+8HMCKVs9N0rV5xDqrBbUn3HOCBXr6fBMnW65CPFM70R28XIjFj2yKB9qmi7F0FubQJ5LiTseZ8gVFNJJcygrkIfFew2DzReq7hV7480vZa3BpEob8GLgocgEUC9rpE8jq8NjKR5Yg4xWWrWcFrEeaZfVI6rTm63trutJ6MdlFYwAdeToahZhFJIXd2kfzk5zQQoiV5yOU82elNrmKSKcCViB3xU0rLC5mkUADsKiL+7Fzcc3IAB2oM7icLbYSQAYqH08AX3MG5vkU6nJkTl5SOlM7DEdyeYdR5oLpCUaMcykLj5peDUleJrGVD6TdAy9MUwguoriMRseUgUtHyqeVGH6nzQFtJqunO0UN36kJOVyOoqQg1O8ZDDdNzZ7H4qLlkAfl58EUvC0sjBMDHzQPrOX05S7dB805k1S3jf2qHamxtp4V5xEzLjzUjoOgPqZee7dYIxnGcUCaXP4xCD7c+KaQy/gb4Bm5QTWd0Fsb1ooX541P5qbajGL5OeIkEeR3oFtUlD3sckZDZ8ilZbb1mWWcdh4pjaqVAEjkkfNTEhAtsr1OKCHnJebFspcg/lqWh06a4tfUvp1sgPkdTUWrGBzIvRiazu7pruEB5GcjxmgkIr3S9HiM1ldetN8k0yvt3a1foYWYJH/2RUbm3VcFQD8GkZZeU5Uco+aByLyVl5MMxPcmmOtwGaxbMRHTORXr3hOFUggeRS51VxA0BjV1Ixk0FLsEVbgxfDY71PTgpBknGPFMfQ/95GSOPALZqRv4hyBiT+lBjZzerCV5B0p1a26tl2Gftio2wJWT3ZVSelTlnOI5QGQNGe9AjLYBsPBhG+KXFm7RqGyrjtjzTqeyR29exmLeStIRXsscnJJGcigwZr61xkFh8EVl6sd049SDBXzSjainMfVxj70kJY+b1EI/SgbNA11eg8pKJTi5jPMAzEKB2xSgn5nBjXBzk1YrfXdtw2YhvrVGlx1OKCrhnbEcSAr5/SmV8Zp51t4hyqo9xq66dHs/V7lLeW+/BiVuUNjtmleMextP4a7Gfcun6ot4k8JkVunzig5L+oTdZii/YlrKMtgMQfvV9+iLYBurt9fuoCFDq+SOmATXNG4tW1bd2tEyIGNxcMsaKck9fv8ArX0M+nHbT7I4ZPe3kfoM0JwGHfGaDWn1lbshSK5s4iPZCUUA/pXCxJJJPmt9/VNvJ9W3M9jGylWJ5up7dK0JQFFFFAUUUUF/4M7lk0HddvH6oSOV89T5xX0w0Ew714dzWrOsrem3Tvj218lLeeS1nS4hYq8bBgR4r6AfSXxShvLBbC5nDrIORgzjr2FBzfvS11PhLxdjuoQqW91MgfIOBjH+9dM6PqlruTTIL6Aq0nIpODnuKb/WLwii1PTJNe0i2DH0mkVlTOCAPI/Suf8A6f8Aim2jak23Necj0zyAu+O3TzQdCOkck/I6MCPin0M94qGCPPp4896bajPAt1He2hBhlA6g9Kf2sqM4YnAPY56UCEVvK7nJIz3JrJkgtW6yGRye1SMr25XDe0/NMblrYZdY15h5oPXdWQF0K/YUk8sSgcseCfNYIJbroWKqOxNLWywwyZlIk5fFBhHbXMzc7ZCf4j0rJ0ihBWI5J7mlLzUp7v8AcRKVQeBTOVmjA9hUDuTQRuqTcqFRnJ8molAWQEjrmn2oyJPJyRuCPNLW8UTQHOCRQNPSZ1AcZH2pvPaCOQSL7T8VJ2kqM5jdexwDTp7OO4BwvNjzigjEeTl9wANZC6lhGMc2fNeuYoGKEFj96wDLMeVWCfrQOrdRM69Tk96slvPpel+nK+ZpB/CKqsbOhwr8v3zWa3QVwARnyaC66pvc3doLK209YgBjmIqvSXV0xw1wwz4Ham34vlQfxNSTXSSf9R+U/rQSMVwYlPOwapDQtXtrF3kuoDIGPQVWJJguGEgz9z3p0WeeFOSQJ96CZvC00xulhKRnsK9jvJAhWNSR96lZLec6GuEBx/H/ACqCiWT08iUdD1oHVnGt1IUu5BGO9JXQtYWMDllU9npJiCwY+4j5804a5iuY/SuIhgds0ERKsLMRFJzAec01lZh7RnlFP7jTBEPXjiKR+CB0poGRyVWQHHzQNH69YgR+teKZpBysB/Kl7g8w9NF6mntrZpbwc8gw5HSgZ2Wnkyh5T0HinGoWxcgKCFqU0HTn1W+EeeU58053LbR6TciJ3VzgdBQVaSCNIsBsUxS5a2k5hJlc9Qae6rcRzH2gKfgVFCAytlsDFBPW90JV9WC4CH4Jpwmp3IbBjR8earLW8xbCqw+4pRLC8/Mt2yUFofUo5F5XsRn5FILqKK2PwhI/SoNLHVO5vmx4pZbTUV6/iyaCYm1aWZfSgtQnjJrG30e5ukMpJJJzjFNrCKWJwZnLdaslrqZjjEQjC/egrd/aGJ4oiuCjA1UPqB3xfrsVtHM37qOHAGfvV1vp/wARelm68vXNc6/UVr6vPHo8R5nm6AA/cUFe+nXYNxvPfFnOSPThl8jue/8ArXe3F7WI9m7GTR0ZVEcD5IOP4a1N9GfDi303Q4dfvIwr8plJK9iVB71X/q+3ywW4toL/AAWRkUBvlcUHJO/9ZfW90Xl2zZUPheuemBVdoZizFmOSTkmigKKKKAooooCtocCd6y7Y3GsDTOschBXDEdeYVq+lLe4ltZ0uIWKvGwYEfag+ueztRteJGyZdMu0jlLxMil+vfI8189PqP4Wajw33dJfwYhinmbDJ7cHm6dq3P9L/ABge6W3tbu8kVlkVHXoPJreP1F8J9P4n7NGo2fI8qICepzk9fFBy9wd4lXEbR7c3f+8eVcwOH58joK3XMslnKiPzelJ1jOPFcUy2d3tfUPwWqXEtve2E3PE7E4ZAe3X9K7p4dcVdu7l4WQ2E+nrNqUcKhZsDOc0DGRpwAJFOCPb1oS1kk/eTtyRjr3pC3mvnV5CRkN0B8CvG9SRhIZMkdxQODMkh9G2JwPPbNKCByMdvvSCSDPQBfmlojJK+IzhB+Ymgwmkjs0LxtzOB2qGury7u2Kg4+wPSpXUZYJyLe2GD5Y0WtrDbJll6HqWoKu6SwSgXUZAPxUnZSKxEMA5ifmpS4WKdSEQcvyRUPLNHYkpCpyfIoHN5E1nIvUZPUgVJWN0rqqFQrHvioO3vEbPqZkY+TS1sWEnPG1BIatpgb94AAT5FQ7xsg5Sv/mq3QTpcWeJFzgfzqEu4ASSvQD5oIl4JCPax61lFZXI92M/c08i5zjK5FOgfUX08Et4AoGX4aST2AnI74rMaeJGESKxcdzVn07bks9uJXdYVbyxxVo2/svTLhvSj1OD128s3mg1jJZxqfRcHmFKoERBGB1FWHfWgz7dvfTkKsG/iXqKrcBZ1yWoLEdSmbSvw7swQVGWsiiLCnp96z/FlrX0mwf0pmsBYAnKjNA+kLTL7VwB8Vmlnc3MZCwsqr3Yil9IeGCZHk94Hirm+t6fqtt+FEKRKg7gAUFe07cGn6VaNBqFotwgGMEZqu6nqWj6hM0lrafh1ycADFJ6u4F3JHG37tTUSJZpXMUEXN8kigUnl9IhoznH5TS6XzNBz3EnQDpTKaKVAfU9pHivLaM3BwV9ooJfS9wzWRPoxHHXDeajdUuL6/ujNJKTn5JqXtLR/R5giiNR8UjKsEqsqoQR5oK8SiP72Jb79azCiXHISHr2+j5D7FGRXunsZ25W6HtQP7WNo0/fAc3g1IWrxR9ZoQ4Pmkm5EQLJnB+ayX0xGAjdDQPDPZuMRwj+lIysnQekMfamvSPsT181kvMepfOaDKXkx7ehpNJZFBzITjp3pZrSSZfZj5qR0Taeo6oHupk9O2iBJZsjOKCpbg1VNF0e51G59vKjHP8jXLUFyOIfEqO5m55LZJhgd8j+f3q9fUVxDWa9l2jpEjEBgj47EYxj+9bX+jzg5p7WKbk1mzjck+oS2fg/NBvbbp07ZvCdJLbEB9BemOU/lFfPrjnu9tybneGOZ2SE5bJ6EkCuqPqn4p2+i6dcaLYN6aIoiREx8kVwhc3E13O9xO5Z3OSTQJ0UUUBRRRQFFFFAUUUUFn4fbruNqbgt7uORliaRPUwcee9fSrghxA0jc2hLZT3AZpIlwW6j8tfK7t1Fb3+n7i9daBqUekXsrhMDkbnPYUGxfqz4IboivRr1pao9rnmDIvce4/Nax+nzeR0/VDoN3IyeFBPTz0r6BWV1onEjaTWFwVuGKdA682On3/WuA+NfDfVOF+8ZNf0mFo4knYsqDlwP5frQdLwyLgOpysgyPg1kp5XZCoA8mtf8ACff1hvLRo4Bcf8zCqhlbuDjrWw4EhuW9GV+R16frQY5jjyR7h5rBZri4zFCCsfnFPJdIZU5vVyvnFETR28ZhQDJ8+aBvHHErekFBPk1mZJGf0AOZP8qI4H9T2klj80oy+k2JPYTQYTqhjMUa4B7moy5gAiaONPHUmpUnmbljAI+aSuQOTBUZ7dKCoiNoZjmXAzT6wZ5pSqPhfmjUoViHMUAzUjpWnSR2ZuVQYPmgUs74Qzm3DEHtms9Qm9/K/n4qGldvXLKMEGpNYZriFZPjqetA+sDbRrmT8p7g1YNtX23G1VIrmFQM9yKp/wCHkfAEhAHxXio0VygWQ8wIoLnxJvrWKWOLSJSYSvZf1qmxzXcJjuYJZI2GDkGnWtXDyWyrKPdjvnNNbKQvCFkY4FBK6luCbVrAQXMxldQQC3cVE24AT02Q0CGNpOZJMde1KsEI5OfB8AUHkZKnEQz16049Yyr6S+5j3pO0spuZmaOQDx0716RKsgQp6ag9W8mgzzNbj0o8s7HrjxTyIJawmNZD6r9/tTqIQTWnLAgD46uR1qOlt3Ri/q5YUDa8t5FjbLZJ7mmmm3EsJdVwQfIrLUr1vT5GbB/Wm+nBzl/4TQLGFp5C8xypPapDTtPa5mWBFCIT3pzo9jFdymW4PKiDNeX15yXXJae1UPcdKBXWIXsAtskuQQO1N1gEcOeYHP3r2Sf8WmZDzEDzXkdpLInc8tBC3VtJ6jSE5XvTawZTMTkLg9Km7m3aAYxzA96h720ELiaM484HSgs1lNZXifhr9FBJ9r1IrsbVrhOfTIPXjxkFfiqzZ5mtyUPuFWfa+8tW0WJ4vWZgRgAmgjLza+s2JJvVESjwaYSW8o6RSKT8VIatrl5q07y3Vy56k8oNRRCk8xkYN4FA7sYb6W8htrfm5mb3Yrzj/wAa7Th/sYbdsJwL11Tn5D1yeh8falL/AHRp+ytCm1O9KiUp7D5rifiLu7VOI275nSSSRGlKRIWJB6nr1oJnhBsfWeKfEG3ubiFpopJxJI7DIJ5h0rvnX9U0fhFsJNDtgscwhy7L061Rvpm4bwbF2lHuHU7aKJhCzglRnOc1qL6peMaXN5caTZO3qOpVep+RQaK4wb7l3huOf05WaGORhknucmqBXru0jtI5yzHJPya8oCiiigKKKKAooooCiiigKUt7ia1lWe3kZHU5DKcGk6KDsH6auOMiOmn3Fw/qrhX5v5fet/8AGnh4eIe1DqejwQ3ErpzsFGT1x8V82to7juNs6vFfxSOq5Abl+MivoFwI42WWs2VvZTT80TxgHJHXvQcTaxabw4P7skuEiltlaVvaVPKevXvXQnD3i5t/eVrFE94sV+AAyuQpJ7ds1urjrwE0Tidob6npMMbzAc/TOQSc189te0LcPDPc7QyepBNayjkkxgNg5x/ag7lW6k9MdZBzeT2P6VkpjJyQcn5qgcFePu2d16JHtXccAXUljwkzdOuftV+dV9Qozgxk5jcdseKCRhvIIovSlXEh/K33pk0pmlMd0ck/lIodebA7/BoJ9MjP9aBcNHbIQwyT5pnJJH1YtgY815NK7n3SDFMrpmI5Vfp80DBYpNa1qGyQExl+U/pVy3jbQbe06C0hPKWAyQagds26pqYnZwMMDTje+oyavcpbhuYJ0zjpQQPqMoUkZz5p/ZXHJ0ZunxmmDGO2VVlGcV6siyuDC+M0EqlwochRgn5pCQssxYJ1+cV5PBJAqzE82aVgnDkFkzQMbq4mlcRs2P1qW0fTUlTmuJQsWMnJxWM9rZzpzY5JMdKZG+e2/cy5KjyKCZuZNItz6dtAzkeR1qPW9/5pZo4OqnoCKSiuEuB+5kCnzS3pKi83qZY+aC1aZuiW5JjmtYl5RjogqA1iRrq/LheUA9h0FI2kpsmMrhjmsbi6Msvq49poFonlX2xMT9qRu7lYlJclWpIXrRA4AQfJqKvrme8cIoPKD1OKBzZ6dPqjtMYz6S9eal40FuWReqqcUrZ37x2n4SF+Xpg/eseYk8ojLE98eaCbtoTHppuFkHY9BUTFmdmIRic9wKl4NLuX0xnM6qME8metRMN09kHATrnBJoFWWKLBDZb4peLUCCEjYAeaS5tOmtjMswM56kfeo5HCycuMknvQSl3Os5Coevmoq9yvQgGpAvHBDkgFiKj5CZSSVyKBxpJRozn2mnEsTx+6MHB+ay0iwmb95yZFOdQkVY8AgY6HFBH+okYyMA/emdzqEFjE15qBVI0GQScU11S+t9Mga/vZQsKdTmufeIvGKbc9xJp2jzmCyhPvc4wwA7CgT40cS21/nsLC5Y26sVGOme3arl9KvA87j1GLcut2h/DgEqXBAxgEGtYcNdqXvEjdltEumu9jA2eUDoe/f+ld7wjRuFuwIbZfTtZREuVHftj/AEoKrx64o6Zs7bk2j6dKscVvFygLj/Ca+fe6tw3O5dZn1O5kZudvZnwKvfG7iRcbs1y4soZ3aBJMk56Hp2rVtAUUUUBRRRQFFFFAUUUUBRRRQFFFFAVd+G3ELU9o6tCBdsttnGCTgVSKKD6X8EeL6bksktJbmMjkXpk+7pUJx34I2XEWwu7rT9IWG4UFw8agEkA9a4v4T8Ub/Y+qRq8+LcnoSPy13rwq4xadueC3jlvI3aReUjI69h80Hzs13Q9x8NtyNFKsttPbSERvnHMP5V0Hwd4x2m4rOLRtwXaR3aexSc5OAOvWt0/UtwX2xuvRpNYtQ5vGy6hPBxXA+uaJq+0NaeCaKWCSByY3KkdMnH+VB3pFIyKD6gMZ7MD3p0kC3XZsY6/rXNPC/j2IIodJ3UxCk8om5cKf51vzSdctNQt0vNNu454mGfYwJH9KB9qMJQBE9ppl+GYLzcx/nUlLepcx9cFseelNyyFeTu32oErNjCxZRg16IWmkaaaPpSsdryAEtgfenBkEY5SQRQQ8lr6zsWj9lMriNbReaMcvXpmp4r6rEQgkUx1q1ItsHBP2NA8sY/xmmiWRwSBSNiLQyFJZOQ56E01067W00/03U58U3htmuXyc8pPaglL66tbM45xKT2xTITfjD/0QAfGKXXSIkw7nH6mndrZ20MwM0oI+xoImVFgOAnISfFPLNlIAlc9az1mEc/PGQU+xpran2DPegnr6wlktFaFMr5xUOyPbriUEfY0+fXLixgXA800vb179FmdQpH2oJXQ7DQ7hTNq0zHAyEHmofXJonuPSs7dYYF7HGCaQF41uQ6ADp5rCW4N+4WTv8CgUs5LYdCCcfFOmulQexOT/ALRFKx6Y+nQLezlAgGQCetRWo3VzqMg9JQEFA+S9mBJ/GNj4z0pveTSXMTKgPNjx5pLTbaWab0WHXxTxRNpt+qPFkHpmgjrB54kZXQD9e9WfRNtPfWr38xKogJHX4qP1t7cqsyxMrYHUDpXljuG9ih9FHHpnoRigzZI3uWhzlVOBmniWtuBh8famJWOcmZCeY+BR+LKKUz1+D3oH9xqK2URhtmAB7moS8vFtoJL6/nEUCAsSxxkVG7h3Vou2rd77W7yOMKCVTmGT/KtHbt3tuLiPc+igNnoisQSy8rSIf8qDPiHxEv8AeV5Jo2hTGLToiRLOuRkg9hmtXWe37ncuvxbd0CAyIHAZl8k4ySf51Pa5dtfeltDacJlkOAxQZPTp1Irrb6b+AenbJ0aPc25ovTuShf3NjrnPkfagsPCDhdpXCHaia1qNqiXDQggSAE5+en61z/8AUbxtvb69n06yugzM2AoJwoBNbJ+orjtFY20unwXKHBKRquPGPvXEus6rc61qM2o3bZeVie2MDNA0lleaRpZWLO5ySfJrGiigKKKKAooooCiiigKKKKAooooCiiigKKKKArYHDPinqWy9Sg53LQKw6k/l6itf0UH0k4XcaNH3laQW2o20FwjJ1Jeonjl9O+i8Q9Lm1vb0axyBOYhBkg5z8/euHticRda2Vfxy21w5tweqZPQfau1uC/Hi012zt47u6WQuAGjOcHoO9BxDufaepbM1X9nazbSPArDLMvLn5x8VcNqa7ubbkC3+09Ue8thg/hHwcfbPeu0+LvA3ZnFTQZ9T0uJEvwpYRxgDqAfkVwtuDQN2cItwyW8tvJ6UbHAlGVYffFBvzYnHHa2qzR2G9Y/2VdMce5seP0raNxLpc6C70a7S5tT/ABq2cVyfYapt7fUBe+s4YblPblRg5xnNS239X3rsgn9h38mpWGcvBK2TjzjqKDpdb2Occqssi+cHqKxbDH3ueStY8NuI+gbi3Atnql4+myc6iSJwQCT461t3csVhYzRvpsqzwOAedTmgYvcOgEduuB80mbaW9mSHmOCfcTXhlQ+4EcppaKSXGYSB9/NAnuDT4baJIoTk4GcV5piRugjJ5SB3pW7mmltjGyKzD+I96jLG8MbGNx7wehoJCcYmKFmbFNZJjzcpGMU8mb1oRJj348U2JJOGTmYjxQNzKzkx8xI+9LxRxRR8xbqaXgsly3qZz3ApaLRb7WYpbfSIS9ynb4zQQ+uXCw2qyoGbr2xS2myw3+nCQnDDPTNac4hcV9z7UvztrcGnW8bFvbInXpkjr1qz8P8Aecd3ZKskySK3dhQXme2XkBD5FJxoY5hIo6LS5lWeMSQglMd6xiQyN1OFoPb2/fUGETuVVOwz3qX29penXiObub0+Ue371DXFsqPzr3p1aSuFIUGgxunFtevHan2g4D04M/PB++PO3+L70h6ZZzIQB+tZsqOOUN7vgUGEjtLD6LnmU9j5FN47JYBkOeU/NWPQdp3urhuSRUXr1YgVUt8avo+yZHXUdVjlkUZCKc5/pQTeixCWdgZVjhH5pH7AVr/ilxQ0jasz6ZthV1TUGGMxnIU5qlahv/cW73ez0eR7Cx/KXTKswqNi07TNC57m6ILnq8shyzGggrq11DcUp1jel8XCe5YOyrjr/OqzrW4dQ12+i2/tcFkY+mPTGe/Qdae63rOqbu1MaHtW2aVXIR3QdsnFdV/T99Mug7b0+Pcm6oALhUSUerynqOpoI/6cfpysdv2y7p3cjLM6B/3ikZJGcd6tfHHjfpm1tMk062liRIxyIobzy/pWXGnjto21dLbTbOeKFYvYgUEdsjxXCG9976tvPVJLu/uWeLnzGhPT4zQNt2bpv916pJqF45ILEovxmoSiigKKKKAooooCiiigKKKKAooooCiiigKKKKAooooCiiigKmtr7r1La98l1ZSkKGyy/wC1QtFB2nwb+oixufRt7iQJJ55mAPcfet07m2psrjZojw3kUaXLIVEqsOuf/wAV8ybS9urCYT2k7ROCDlTXQHBb6hb/AEWeLS9TuFQ8wAkdgAe/2oG3Eb6bdV2TfSzabLPHDGCytyk561Q9L3hf6IDY6layxODy+sVIU/eu8tF4j7S33bLp24Fguo5Ry84cdOn2rXnFf6WYd1273uyb+Fo+Un0woYg4/Wg5O1HXbG6mEksJuX7iWD80f36VbNu8Ute20I+eV7+zyBy93QVWNf4Z764c6mwvNImliViH5EODj/KocXlvJfJOxm09j+ZXX2k/zoOtNs7+2fuKyRnvo7e5YZKPIB1/SpxZ1UfuGEgPbkOc1ykLGyuYxdW8pWYDIkicg/btXljxf3dtC/WJdRF6sJ6K6AdPv0oOvI7SYwes8E6D5dSBTJrcTsWDqMHvWpbL6zLq/wBOTTNa0OJVRQOcYBOB9hUhp/HnZNzGJJLhImPUqz9qDaKqYU5Awz81lCxik9RQCTWsv/bvsQzASX0fKOmOem+s/Uls61h9PSUWRsYyGz/pQbZl1CG3DTTMqADLFjjpWuuIP1M2WzLKbRtsRrJeSKVaVWBwfvg1qLenHmTcGnTWtjzwSOjKCPkj9K03I9xeTtJIXllkOSe5JoH+4dx6tujUX1PWLkzTv57CrbwpvLyzvjM10EtI2BKFu5z1qoR6Fq8wVY9MnyT+Yqal7PZ25OYcrNCp7lc9qDp3SeJOiTxLbzXkMSqAAOdQTVps9y6Bcxhk1CDA/wC8Fct23Da6lg9c3tx6gAJfPmm1ttjWlneKPXbmLlzj4/zoOuZdU248JlGsQZH/AHg6UWOtbQkjcXO5baJl/wC+X/euSBoetLN+HuNfuDn/AA9P9aVu9vw2EAkmvryd27gSNk/0oOj9X4kbM0uR4pNXhlVevMJV61TdX+pLbGlEx6dp0lw4OAy4Nafttu6NJy3dzCwIHN+8c/5E0jqmn6TIoeO8it0T4AOaC4bk+pHdmqr+G02NtOgl6c7LnA+e9V9XgvA2q3moy3ly4/PI3QfyqnXmt2tvMYrO3WYL053Oc/pTzQNtb13feJa6Tpt1KspAPLGQgHbxQWmHd0Oh2zOt1HO57IhBOfjFZaFtHevF/WIbGxsrq3tnbDM8bYPn4rc/Cf6TYo1TVd7c0UgIfDggDqc+a3Jc712Bwis3h05LRXjXo5cZ+PNBHcMeDu2+B9lHcavAt7ct785HTz1z+lVzjj9S+m6dbSWWm8vPh0WNGBwf61p3in9U+s6/cSW2iuDGwIMgII/yrn3UNQvNUunvL6dpZZCSWNBIbn3Vqm6tQkvtRmLczEqvwCah6KKAooooCiiigKKKKAooooCiiigKKKKAooooCiiigKKKKAooooCiiigKASp5lJBHkUUUFk2vv7cO1blJrK8kdVbJR3OK6D4ffU7aPKlrqtzc2jkge0nB/vXLFFB9ItN3Ds3iDpxt5ZIZGlTAkdQT1Fa03n9PF7dLLJo9va3MLHOcDI/oK5G29vfcO2pVfTr1wqkEoxJB+1b02P8AVhfaSqwagjr4JxkHt96Cnbj4K7h2+8jW81zDjOVUnlrXup7e1+Mk3FmZeUkc4HU125o/1B7K3LbomqW1rIHGD1UH/OpqfSuE+uWy3Fu6oZRkrzr0zQfPy3WGwmR9QsJAB35hUtPqe1btOR7V4zj8yx4rtDU/pw2FulPWs9WiHN15Gcf7VRtxfRZby+/SdVjUjqQrjr/ag500uXaqgiJUI6Z9Rev96NSm2vdI1shjjbsGVMYP61tvU/pK1eOH8Lp/qvcL/H3BP9Kqt79LfEG1bkSHnb49Nv8Aag15oMdlZXzx3DwyBsBSRmrjp8m3rSQ3MiW4duueUVlL9N/ESD/qWWD/AOBv9qxh+nPiLcHC2OP1Rv8AaglhrOnxrzCeLB8YHSnEO5NGW1ZXuRn7YqFT6bOJMkvpCy/nyN/tUtb/AEq7/mxznl+f3bdP7UEbd780q2zD+PYD/CoJqKuOIWklh6ayt9wmK2BafR1vQhbie5jMXkcpBqy6J9G0Ej+rqurFE+OcDr/Sg0Pd8QnD5srJSPl+9RdzuTXdYlUwo2V8RgnNdc6Z9JXDjT7gTarq6tEvUj1F6/2q2WGyuDm0ZFRQkiJ05i6/7UHFWlbN37uqYRWtpce4ge8lVraG1/pF33rwR9QuktoyMt7u39RXRO4OOfDLYcONIsbZ3QYB5lJzj9a09vn6wbjUbeS20iAoT0HKuB/nQXLbv00cK9jxJdbw1f8AEXEXuZAFYH+tT+o8eOE/Du0ay0DR7YNGOkphXmz/ACrjXcnFDdW5ZZWu70qshPRc5A/XNVOSWSVuaWRnPyxyaDo3iB9XGsayHttBhKoQRzMSo/Uda0Nrm6tc3FOZ9T1CaQn+EucVE0UBRRRQFFFFAUUUUBRRRQFFFFAUUUUBRRRQFFFFAUUUUBRRRQFFFFAUUUUBRRRQFFFFAUUUUBRRRQZRzSwnmikZD8g4qa0/e26dMI/C6zcqB4L5FFFBb9H46b005QFuncgd/Uxn+1bC0H6g94SJHI5kJPf/AJg/7UUUF70X6g91hQRD1Pkzf+mpqTj1ucAy+guSPMv/ANqKKBJOPm5Jf+rZRv56y/8AppGT6g9xxs0SafGMeRL/AOmiigRtvqK3SkpX8GhH/wDL/wCmlpfqF3QQWFoq574m/wDTRRQVrVPqE3iuQjOqn+ET9P8A6aqGqfULvBFIIJB/78/7UUUFE1vjjvfUQyLfPCCcdHz/AKVVtQ35uzU09O71qdh9jiiigg5rie4cyTyvIx8sc1hRRQFFFFAUUUUBRRRQFFFFAUUUUBRRRQFFFFAUUUUBRRRQf//Z",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "no529.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "no833.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
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gGQcVjaPe/YdQRiT5ZO1gK6++2zQBo8bQM/WgDhJ12yHjGairT1CAKzEHqcisygAooooA63w3ao0wc/wngEV2V6ZYLUtEECjhj6f/AF65Lw62xjjHLDpzXVancwWul3DyDG1CVwerds0Aed+I71LzVXMTExxgIuf1NXfCWnfbru7uNwX7Nbs4z3boK53lizHnua6/Qo2s9GLFdrXB3E56r2/rQATqynOcGo0u3TIJYetLNLg5bmq2/kkfrQBIZy7j5uBmmSRFj6/SmjYDkEg+narlsyOuCQKAKSybT04qyl6E6DrT5rFgSwK/gaqNGVznHHpQA6adpuecZ6UKN2aagG75v0qQAHIPX1FACj72ab91tx9elPHHXFDnCkKBn1oAvRFWTOcEUZYkDdx3xWdFMyEA9Oxq2kvy5FAF+yAWcvnsevU8Vq32uXBMMQbCRxogH0ArHt5GELs3ZTTr+Bo5nQPnacZ/CgBmoXSzvk9T1rFf7xYcCmvI+8gnkHFO3ALyO9ADE+9kUhGKkC7KaaALmnW6SyASNgE8nvXSXLJbaZiBQingHufrXK20hSVQe1b2pTJJFbpGcjbzj1oAy3Rny3QVcttNQR+bPwD0Hc0tjEHl3E7QOTV2RmuJeCdo9qAKQsEb7qnrUc2nqV5AFbSwt5eVXAFU7jcTjoKAObnt2t5MgHFTRILiGSFuQy10NxaR3unxsuPOTOQO4zWVBatDJuIwO9AHGSoYpWQ9VOK67Q5/tmnFGPzRjbWBrlv9n1R1HRhuFT+HJ/LvXjz99cUATanEwJJycdOOlYLjDke9ddqMQZGXkbhwfSuVuF2ymgCGiiigDrvDTDJXGckdBW34tmSPw/KrA7pGUL+fNc/4blBdgX2AdcVf8byn7JbIDlWYk0AchaW/2m6hgXO6RwDXa3jrGBGo+WMbVHoOmPyFc/4Pg+0eJrOIjOWJAx7V3WseHV+2MyXMGxjnazYxQByaW5uXyQQvYeta9t4Zuru0M1vbmRB/d5rSs7jTdFZmaFb6cDgNxGv+NaD/ABG1Iw+TFDZ28XTbFCBj9KAOIutPkgZgylHXqrDBFVYyVI5IOa6vU/ED6sg+1LEWUcMFAI+p71y1w6mUkEgE0AKZ396YWZzyaiJwfvGpFYg+hoAetOGab8w705TgcnNADuxB5xUbsMHOfwp+QCT6UyTGc5oAIwrKcdvXpU9tEZG6/lUEJAJT2qzAxVsKcUAX5beRdNLAHaWVOfTjNVr6RuSCc5JzVqe5nNvDEp3LuyB6cVUuCGYk5NAGYqndyetGdzccc1YZVMTMOoqCNBxQBI3IpAOmak28CmsOnpQA0ISwI69qugOVXhhk4qKA/vFAIFdTZWEMyjdgk0AZEIIUKD1re03TzKAzLhcVZTRoUkVl5+tb9pagKFUYGOlAGPPbKkeADWRcwgE10uoxFRhR3rDlgcvnaCfegDMtmdGJXjDmt23sI72Bt0eGKkHjis1LeSEfKCSck5FWYby4iQqrFB320AcH4sTFzEChV48o3visK2ne2mEqYLDpXaeMoIZrCK6RSsisA+T1rj7Qp9vhwvy7uhoA6ZZJLmyincj5hyDXMXgxMeehNdjcssUakAdPmFcbeHdOTx+FAFaiiigDZ0Nz9oAJwDWr4xYmKzGMDaSaxdHJF5Ge4PFbPi/JhtHPUigCp4JleDxfp8iAFlckD/gJrd1K9muLuSR+SxzgVkfD4B/HmkK4ypnAP0r0vxNpfhe21J/JuJ89XRcYB9qAPO2W5lA42r2xUU1vPEPmB/EV1V1qWnWcJTT7dVYjBlf5nP49q5m6uTcvySSfU0AVWLnoW/Ko2XPHapHTC5zj6VEw6ckUAHA96eoG7r2qM9c05B8wzQBYx0zzT8YQ8UKMkU9umKAJLG1N5c+XxzVjUNGmtBnYSO+BVjws6f2/aq5G1m2mvYdW8LxzWJYLzj060AeAKoSXI6VbRcPk9K1de0drCdiEwM9Ky4gchehIzk9KANm0jjeaKOTG1+C3oKravaW9q7LDOZB2JXBoW5WN1C5J3AsfUVUupEklJTcTzQBRlwIwoHJ60Rp04qaK2kuJAq8Z610NtoQW2ZyCeOfagDnSMsAelDqMUTjy7ll6gMRSnkfWgBIioYHJ/Kut0iZSq4JrjiSBWlpt5JCdynkDOKAO+t3LMTk4HbFX7eba2QSOcEVX8OSwXkEcj4IPBrbvtNiUsYABkZFAFOWNZQehqm9op5xVpQ0TbSMe9DsD1oAzHtVHWqssCjPHatOUc1RnYBTQBxvimPOky+oINcNYDN/CP9oV3PiR86bNiuK0ld2pwD/aoA6bVHxCRuHTv1rkp2BYDuK6XWpgkLDuSB0rlWOSTQAlFFFAF/SR/wATCPjPPrXReLY2+w2zkADsPSuf0jC38LHP3u1dL4o/eaTG3I56H60AYvhB2j8V6cyEhvOAXHrXV+JILiLWrkMWI3kqcdjziuI0Wb7NrVlNkjbMpyPrX0FrOi2eqlbtWVJmXLZ+6/196APFm8zGOMVDghjXf6l4WZUO2OFTjPLY3fSubm0Y2xJmeOL/AHzQBibic4pJYycHr61ZmSGJ22ybsdwKqtKWHU0AMIp6EbufWohyetSJ1HegC0DhRx1NOY7lxTFkG3pQx/SgC3pUxttQhmBOY3B6e9fUlnEmraFb3MYH7yMHjtxXylbMfOJzX0r8K9TF54Xjt2JzEuKAOM8ZaI2JDtx9BmvKb21e1kGFJQHODX0v4q0wzKzKoOea8T8Q6a0M0mUwD2xQBxXm4kCrnHb2p8MTzybVUgdzSi3DXvkgd+a6bTbAM64TAoAfoukMzKVXj1Ndlcad9l0qVivRDnj2q9oOl7tg8vgd8VoeOF/szwlcu5+d02j24oA8AuGDXDt3yaTd8vb6UyYjzmI9aQN3oAVuhHNT2MoWYBh14zVYsGByTmmq2xhzwDQB2Ph7Uxp07QSHCluPau4j1PfHneCMV5hBLBewqkknlzoPkbsfY1ettUns/wB1Nyo6N2NAHoBuUkByQf60hKEZBA/GuTg1VZF+V6sNqLAZ3GgDammRc5IrEvbxdpCnmqU17LJn5jVc5xk80AYniafbp5Xuxrn9Aj36mpPRQTV7xVcb7hIR/CMmofDqYeaU9AMZoANckJfbn3rCrT1eQPdHB5A5rMoAWijFFAFmwcx3sTAkYYdK7PX1M2glj8xU9e9cTavsnTAzyK7fUXM+iFFySxHOO1AHCxt5cyOOqtmvcYbyY6XbTXcgjLoHCZxtXFeGNw59jXd6jfytY2UKzSvH5CHLNySRzn2HagDodY8UN5JihKuB0J5//VXFXV5LNMzsxJJ6moi7MRwT9Kelo7nJP0zQBAcZOQTn0ox8vNX/AOz5DyAT+FRzWrQghgQPUigCiDg8AU5SQecU5lxTDznPrQBaQ4GaHPBxio4zx1607jHFADrb/W9MV7b8H9RWACBj99iprxO1YLLnr9a9D+Hk7LfxoDtj8zLEHk0AfQGsZNrgDj1ryvxLZ72cmMNjp7167MA9qCMY259a4PXoMhg+CM8dqAPE7KzNxr1wqqFCmu+0jRV3RgrnJ6VzehoD4g1AEcrJivRdKRTKhGBj3oA6vQ9Mjgg8xlwAK84+LurtJbx2qA7Hk5PrivTHuWtdKZlxk8c14V8Rr97i9iU9txx+NAHnjn52/wB6joOO1NJyxOBnNKQABg0ABpmcdDSkmmFvagCVXKnOcfyNX4dQYRGNvmU9mHT6VlkkDvj6UBjnrz7UAbAuYlwULxnuOoq5HO7AbSG46qc1zu9sU9ZXQjaxH0oA6eGdW4PWpdwJLZGFFYcN9kjd94nrir+qO1roL3QIAkG0fWgDi9VuDcahI5OQGwK29GjMGlNL0LdDXMcs3Xk12lsvk6PGuFPfmgDldRP+mOM7sdT61TqxdtunY5HXtVegBQaKSigB8RCyqT2Nd9ZlJ9KlOGOIu/pivPxwRXf6G/maZt+XlCCSetAHCTjEzYPeuvhia88O2V0mCEBhfHYg8fpXKXqbLpx6Gu2+GDwXuqzaJdRCSO7Xcpzjaw9PwoAj0TQrrV9QjtbaIvI/fsg969OOk+GPBmmsNQZLy/Zf9WBnJ/oK4rWdZbS724sdLJtYImZCU4ZiO5NczNqLSSbpHdmPUsck/nQB6BJ4t0tnO3RoIo3GDt64/wAa5zxDe2F3NnTrcwQ7QFQjoAK517shEZT+dQvcyOBk0AOcgckg1C7DsRTDwcE9aABnrQBLH8/Tipf4PemRcY96VuAcUAOtgxJJ5rt/BgkF1vHABxxXE2v3Scc5613/AIQAWNWxyT2oA9+sLonw7FJJ1245rl9YurcxOzvwBmtJbzGgxRggYHevMPFupusEscbkMcjigDnNGvc65fyRqSskh2n8e9eiaNMd6n1PNeT+H5xH5rH+9jrXoGi6gysPbnmgDv7+822Kx4zlc14Z42cyauQf4VH869SutT4O4EjZwR2ryHxZMH1mTBPQUAcuOZDg96c3QcU0Y8xttOweBjg+9ACZyMVLCgyCWFQ5JPOKnj2FMEgUAbEFnazoA0xjYnAOMioLjRGRWdQHQHqtV4WYH5Tn0rStLp1lUTZZc8q54NAGDPaPC3fFRKC3HNekRaHZa1ZObaQJKo+7nOP64ridR02WyuXikXZIjYNAFFVbJ5rQ8TSSReGNOt3OGZ2cj27VXskL3EaEFixx0p/jiQm4s4T1WLn29qAOUQgyAkcZ7V2iyJJpkTquRt49RXJWEfm3kY96669KwW5QLxj6UAcddf69jgDJ7VBU1x/rmx0z3qGgBaKBRQAld14VkD2mDzwRgiuFrqfCUwExjJw2eKAMrWYfK1CcY/iq/wCCGC+MtLG0ndMEwCQTnI60nimLy79jgfNz1qLwfKsHi7SpHPCXKH9aAPTfFHh20jvTK10kc7f6xAQefUf/AF65K/0hYkDLIj/zpdfuJ21q9klZmfzmPJ7Z4rNfUHKEElhjgGgCJ7fEPB5B71WIbvVtZhJuwozUAPz88g0AN+Ujn72OtKEyMjAqfYpIPXinqikEdOOKAIEGDzjFJJlc4NDDbKBjiiXnGOM0ATW3+rB7mvTfCOnyCKKUqSAAQK860u3a6vbe2HO9wK94s7OGw09DgKqqBmgCPWdXW0sxGCdwGCK8t1jUHk82R25Ofy9K3vFGro0zqr5A6mvP7+7a4DFOQvP1oAl0i5WKR1J+8c4rtdHv087BHtjNecLlAGU/MxzWpp2oukyh2+YHjHegD2RNksaup6jB4ryzxdCI9cmAAAIGK7TRNTMiBGbJzXGeMXLay5Jx8o5oA5QH96+ABzTy/HSm4zIc05uKAImI7joaVXKnqaQ8kn1NLtPpQBPHc+WcqcH6VIbtnJ3NVdYzzkUCAsMcYoA09O1W4sbpJ7eTY644B4P19RXXrrOga2gTUIZIpW6lf4T6g+n1rzvYVPHH0qaNmyMtQB6ppfhXSIJUvIJWnPVMkYFeUeMnLeJrmMk4j+UA9u9d74Dv5RdSWrMShXIU9j61w3j2MJ4vvmQfKzAk++KAKGhxCS7Xjkd63dZlHl4BHTnmqPhqDG6UjkCl1mbOcdewx0FAHOTEmRiTnmo6c7bmJptABRRRQAVpaNc/ZtRjY8qTis2nIxRwwPIoA6/xPCJrWK5HUjGMdK5SCZ7a5imQ4ZGDA/Q12Nq39qaG6EZYL1rjpo2jZlP8JoA9T13T49R0+z1u2GUuogZFHUOOtck9vliNvT1Fa+kao8vgyCHcT5ErIR6elZkru7YBxk+tAFeOAxvyAD6g0yVNhOKJNyvnJP1pZG3KrZPPBoAjDAA8U5JAD/jURbk/Sgds0ASMwJyeMGlblVx0puBjg0qckLQB1ngC1jm8SRSSY2Qjdz616B4o1tYrcxRsBjoAeBXleh6gbCWUg7cjGaj1bV5ruXAfIPX3oAj1S9aeZl35Xvz1qihIRs9MHp2psaGR/wAeBW1Z6Y1ysUQHzSyKufx5oAymiYxkBMAHg1CG+YdnB4rrtdtILW5eGIj92dp9z61yNyoD8YDDmgDptI1BkUHcQ3fmqviGf7ReLJkncoz71j28rhQVbDCpJ5XmZS4xjigCuR8/HFITSkktmjAIzQBEeuTUiybe2frSMmaj2MzYHWgC4ksecFR+FPMkRHBIPb2qNNNmZMjJPtUb2s0ffNADvL3t8ozinfZpARlD+FNiZ4mBxgg9a6/SZ7W/VI7iJQ4HBFAEvgq2a2upb2Y7Yo4z8x9a8/8AEV4NQ126lByGkODnqBXe+L9Yt9I0w2Vm2XkGDjtXmVrGZrlQOSSKAOv0eIQaZvxgnJzXP6rNukYKTkcHNdJPi201Y+RxziuNvJC0z5OeaAKtFFFABRRRQAUUUUAdD4XvfJujA5JR+gz0NM8RWf2a+JHCP3rHtpjBOsg7Gus1NF1PSI5l5ZetAEPgq5ia6uNNuCRFcqNp/usOhrYuNNe0maJwCBkKw71xekT/AGXWbeQgHa+Oa9G1O8EE2TtdetAHMz27KxDKcdqEjEkRUqCRXRxXNjdoPMh24/iU8/lWdepFHcEQhih6EigDBlh2tuUc+lRgbjjkE1sNaMSMjrVW9szDH5hBVj696AKn8PvSAENmheORSseRjpQAjMd2R09KYRzkHmnE5H406OMsM470AWLJOCT1NdPoc32a6t2ZNwTLsR/DjvXPW4CrtPrXVaDHG8ryZHywsfr9aAMrUWee4kkbqzEj8656+GJR06V0+onNzMTwN3Fc9doGmBoApRkr/npU27jkk5prIUPT8aXB4zQAHHbik7cfrSkc8UnA5oAY3qOKEkKsCalihadyAMUk1s0bcg8UAX4b8xfcOK0Ybu1uIgk8AB/vjqKwI5VVgHB/KtGJEdSUbp2oA1I9A+3EfZJI5M9icVt6d4an07fc3OxVQBiAc1zmnTSW10hjY5z0rp/GGtnTtACM2JphwPTigDy7xFfG/wBYmkByobAq14f0xp7gPkDADc+lYShppQOrMa7nTLQWFj5zD5iM8noKAK3iC4WNREpzjpzXGyNvct61o6rdm4mYkjrxjrWZQAUUUUAFFFFABRRRQAV1fhyUTWctu7fLtY81ylX9KvGtLtWDcHgigCO8ha3ujkEZ+YfnXY2Mx1fRBc5Bkh+SUHtgcEVm+IbRZ7SK7iA4ABxVTwtfJb6i1tO+2C5XYxzwD2NAGpC+yTGSD6+lbqPabFDSDd9OKz9S0uawkAlRlDch8cEfWs1SwdV3cUAdNPqVrFAPIgDSA/fauW1C8e7lYsSTmn3NwzYijOc0w6eyLkk5oAqoCRnNOAz0p2NoK02M4Iz0oAaBmUD1q8Iiq8AkfSqW7Y4Poa37aWOeIJwAR19KAM6I/OAeOa6bRriW2n82IRyhkKNC3G7PHBrJuLB1+bbgdmAqayZ45UAOGDDH50AT6lFJFNKrpsfdnb1xWQsG5uRnNdLqDxSYFwHEwOCw6nPNZbNbRAlSxPvQBmXcQSH5h83qKzwc5q/eOZ22LkjNZzZVsEYxQA7qOBx6018+nFWYlAiLNmo5GU9KAJtMkCS/N61dnRScuvArFDmN9y9ua2YLgXUQXIWTpnsaAEOniWMlME02K2eOTgEYqaMy2z9OCcdK04BuQ/LkkdqALvhvRftFx9omOIIcMzGuM8ca2NW1qRYmPkxnCiuz8QaoukeFfKiARpDgYP3jjvXk4DTS4HLMaANzw7p32icTOPlXnNX/ABBqahBBF26nNWEaPRtFCH/WyDgelchdTNLK2TnJ7UARO5dsmmUUUAFFFFABRRRQAUUUUAFKDg5pKKAOo0W/S5t2sZgMNwpNYd9ZyWN2UcY5ypFV4ZmhkDocMOhrprjy9d05XQgXUQ5/2qANzQNcfW9MGkXcgMqrmJmOefSsy6tnt5SrKQRxj1rlIJ5rG7WWNiksbZHsa9P0aSw8a26q0qWuoqPnBPyye/saAOVs4S92DgHJ7elbuoWbQo7uCC33QewrYuNFtPDE6y3Eoupx8yqBhB7msDVNWN9IZH6njjoKAMCU7XIqND83tmlYmeYhema1otNKWYlIAGcDPegDKdSDyOKu2xZMY6cYpLhFEXvUVpciOQK/TtQBuw3jqmwk7D261raDZ/bdUiQKQC45xxWPCY3QdjWzoV9LaX0flAMmfmTv+FAE/iWxlXUpzGpMfmsqkD0rCXTpnjEjJhD3JrrfEmvTW8cljAIwjSvIZNuW5I4Brh575++4kZ47D6UAWzarDGSxUd+vWufvGVro7eg4qSa+lcYUFe2epqnjnJoAtM+IgPWo4R5k4BPH0pq8nB6EU+NGjcPQBoXWitHDHMoPluMhx0B9Kz0ieF8cYB6V0+haqu/7JcjdbzfKQe3ofrVTVrL7LdyRbeUO3PqKAIrS6EgCSDcc8Zrs7XQkSyW+uJNsZXdgcYHpXHaTp0t7fRwwrliwyfQV0Pj/AMQx6dpcOk28m51QK2O9AHB+JdQOoXT/AL4mKNsKC3NQeHbMS3JuZR+7i9ax0R55dqjcxOa35LkWWlJaxZDEfOcYoAqazqH2q4Zh07CsenO25s9aZQAUUUUAFFFFABRRRQAUUUUAFFFFABVqyvHtJg65wD0qrRQBoXeL65MkI5K5IqKzu5dPulkQspHXHBqKC4e3kDofr71qiO31UDafKnHr3oA9Aib/AISrR0mimV7iJcAN/EPQ+9cvcW7Rs8bcMp5HrWDC99o92CoYFWyVOdp9662zu7XxNMPIkS3v3+9BKwAc/wCwfX2oAzLKACVeOtdq9h5vh90GCylWBA65qhb+G7uCYedGwIPTFdTp+mymNrdkOGT5frmgDzDUImQtuGCO2azN37wE+tdPr8e29kiK4ZWwaS38PSXGnG7VECK2Bu6mgCtazRmPhhnHetrRrpIrgHPzdq5prNomOGIxWvolnPe6jBBEpaRyDgenpQB2N1oZ1XSo2hG6dZJAR9ADXHXenS2jlJoyp6civSvA+pxXt3f2LRvDPHcSyNE2CwHygD8K53xXqEcl/cQFQFjbap70AcJcwbUzjGBms/aScAZrYvMlcLyMGqttb4k45bpQBTT924Vh+dacaxtFjjnvV7V9F+yiN8MUYAhiOh7isuKORPl/yaAJ7WE+cmOTuGK7vW/D0l15VwEO54lLY9hWL4X0Rr66EsgK28R3PIemPSl8d/EIxyHTdIcAKoVpQc0ALNrNn4RsJdjh76QbeOSK8wv72bU757iYku7Z57Uirc6jc8l5ZG6sea1ltLbTbYvPh5PSgCLTI47KN7qQjcPur61m3dybiV3JPzEn6U24uTO5PQZ4HpVegAooooAKKKKACiiigAooooAKKKKACiiigAooooAKfHK0ThkJBHQ0yigDoLLVbe4UQXsYORjdinXegn/X6dKJUHOAeRXPA1cs9Tns3Bjc49KANiz8YeIdIdV+1yMq/wAE3zDFdnpPxglyseoWMZ7eZHwRXHjVbLUo9l5AoYjG8dabJ4ftrhPMspiM4+VjmgD0GU6Z4guhcglGkPLDGD9a6LUbK2tdAhgt7mPamctwMn1rxR9P1WwUvDIxXvtNH9s6vAA0++RRyN3T8qAO9stKiu3Je4RVGSWA3Z9sV2+mWuk+FrQ3kjYc4BkbG4k+lePQeO7mCPaIQD7cVS1jxlqWsQpHJMyohJ2g96APWfAWswX2n65LBs+1fbHZRgZ2t09+1clrVvcfanZw3JOSfWuA0zVbzSLj7RZzlGP3gDjNdRb/ABFuzGRdwQTPnh2j7e/vQA4xyDaCoxirljCxnUoATnrWc3jq3diZNHt3+hK/1qN/H0yA/YtMtoG7OSzkUAep6bp9vJYMNQTMJGSGH9T3rm9VvvBejs2FlnkBwI/NyPyFecT6prmrSHzLi4k3H7oJA/IVJB4Yu5AHuJFhB5+egDQ1jx3f38LWdkos7Q8eXHwT9ay9P0Oe8zNOfLhHJZ+9aA/sjR0G1PtFx6scism+1u5vPlLFEHAVeBQBfudRt9OTyLJQXHV6wp7iS4fdIxJqMtk5ptABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAoODmrEF5LARskZfoarUUAbUWvXKEfNle4PetOLX4QmyS3Ug8461yWacGIOQaAOp8/R7jJljVTnjFI+m6PKpKT7Se+a5gSt6/pS+aeMcUAdANE09if8AS6mi0rS0BLzZx09q5rzucjIx6Ghpi3/1zQBvyx6TBdCROUC4K5zmpk1PS4SxS3QsTxx0rmPMPr+lJuPr+lAHTS+JiikQQqp9QAKyLnV7q6OZJW65xms7NFAEjylqjoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//Z",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "no457.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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\n",
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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "no93.jpg\n"
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "image/jpeg": 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",
             "text/plain": [
               "<IPython.core.display.Image object>"
             ]
           },
           "metadata": {
             "image/jpeg": {
-              "width": 180,
-              "height": 180
+              "height": 180,
+              "width": 180
             }
-          }
+          },
+          "output_type": "display_data"
         }
+      ],
+      "source": [
+        "folder = Non_tumorous_images\n",
+        "\n",
+        "\n",
+        "only_non_tumorous_files = [f for f in os.listdir(folder) if os.path.isfile(os.path.join(folder, f))]\n",
+        "print(\"Working with {0} images\".format(len(only_non_tumorous_files)))\n",
+        "print(\"Image examples: \")\n",
+        "\n",
+        "\n",
+        "for i in range(5):\n",
+        "    print(only_non_tumorous_files[i])\n",
+        "    display(_Imgdis(filename=folder + \"/\" + only_non_tumorous_files[i], width=180, height=180))"
       ]
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "tC91sbLhqjoF"
+      },
       "source": [
         "The image shape contains 3 values \n",
         "*   Height of the image\n",
@@ -464,21 +446,11 @@
         "\n",
         "\n",
         "\n"
-      ],
-      "metadata": {
-        "id": "tC91sbLhqjoF"
-      }
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "\n",
-        "images = []\n",
-        "for i in range(10):\n",
-        "  im = img.imread('yes/y{}.jpg'.format(i))\n",
-        "  images.append(im)\n",
-        "  print('image shape', im.shape, 'maximum color level', im.max())"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -486,11 +458,10 @@
         "id": "QAy_kbOdDzF2",
         "outputId": "bc68968e-4017-48d2-934f-014fb51aafd2"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "image shape (348, 287, 3) maximum color level 255\n",
             "image shape (630, 587, 3) maximum color level 255\n",
@@ -504,52 +475,53 @@
             "image shape (173, 189, 3) maximum color level 255\n"
           ]
         }
+      ],
+      "source": [
+        "\n",
+        "images = []\n",
+        "for i in range(10):\n",
+        "  im = img.imread('yes/y{}.jpg'.format(i))\n",
+        "  images.append(im)\n",
+        "  print('image shape', im.shape, 'maximum color level', im.max())"
       ]
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "b6W3zLlkvOfp"
+      },
       "source": [
         "# **Image Data Generator**\n",
         "\n",
         "Using ImageDataGenerator to convert the images into the batches of data arrays in memory so that we can feed this for training"
-      ],
-      "metadata": {
-        "id": "b6W3zLlkvOfp"
-      }
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "4VxTlzSgEtxk"
+      },
+      "outputs": [],
       "source": [
         "from tensorflow import keras\n",
         "ImageDataGenerator = keras.preprocessing.image.ImageDataGenerator\n",
         "gen = ImageDataGenerator()\n",
         "     "
-      ],
-      "metadata": {
-        "id": "4VxTlzSgEtxk"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "\"flow_from_directory\" to generate the batches "
-      ],
       "metadata": {
         "id": "_JTAK8vUIPEw"
-      }
+      },
+      "source": [
+        "\"flow_from_directory\" to generate the batches "
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "\n",
-        "iterator = gen.flow_from_directory(\n",
-        "    os.getcwd(), \n",
-        "    target_size=(256,256), \n",
-        "    classes=('yes','no')\n",
-        ")"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -557,24 +529,27 @@
         "id": "EOF25iutEzYV",
         "outputId": "8cbd7bd6-49e1-4e8e-f03c-c6b515ef9f9c"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Found 3000 images belonging to 2 classes.\n"
           ]
         }
+      ],
+      "source": [
+        "\n",
+        "iterator = gen.flow_from_directory(\n",
+        "    os.getcwd(), \n",
+        "    target_size=(256,256), \n",
+        "    classes=('yes','no')\n",
+        ")"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "# The batch has 2 elements\n",
-        "batch = iterator.next()\n",
-        "len(batch)"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -582,27 +557,27 @@
         "id": "VP6wYCHKE3ZY",
         "outputId": "3b4b4250-5760-4d62-806b-578b2b275028"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "2"
             ]
           },
+          "execution_count": 36,
           "metadata": {},
-          "execution_count": 36
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "# The batch has 2 elements\n",
+        "batch = iterator.next()\n",
+        "len(batch)"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "print(type(batch[0]))\n",
-        "print(type(batch[1]))\n",
-        "     "
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -610,28 +585,24 @@
         "id": "n6UeWgTeFEYR",
         "outputId": "d15e52aa-8844-4765-e39b-9fdf5bdf8bf5"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "<class 'numpy.ndarray'>\n",
             "<class 'numpy.ndarray'>\n"
           ]
         }
+      ],
+      "source": [
+        "print(type(batch[0]))\n",
+        "print(type(batch[1]))"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "\n",
-        "print(batch[0].shape)\n",
-        "print(batch[0].dtype)\n",
-        "print(batch[0].max())\n",
-        "print(batch[1].shape)\n",
-        "print(batch[1].dtype)"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -639,11 +610,10 @@
         "id": "R-FNYP9EFFrn",
         "outputId": "46babd9e-e63c-488a-8557-b410aab725d8"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "(32, 256, 256, 3)\n",
             "float32\n",
@@ -652,22 +622,47 @@
             "float32\n"
           ]
         }
+      ],
+      "source": [
+        "print(batch[0].shape)\n",
+        "print(batch[0].dtype)\n",
+        "print(batch[0].max())\n",
+        "print(batch[1].shape)\n",
+        "print(batch[1].dtype)"
       ]
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "PClxWAAVH7G2"
+      },
       "source": [
         "# **TRAIN - TEST SPLIT**\n",
         "\n",
         "Splitted dataset into 80% for training and 20% for testing . \n",
         "Size of the image --> 256 , 256  ."
-      ],
-      "metadata": {
-        "id": "PClxWAAVH7G2"
-      }
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "iMEJnSWvFcCb",
+        "outputId": "e7257f20-710a-44a3-ffe1-674a65f27408"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Found 2400 images belonging to 2 classes.\n",
+            "Found 600 images belonging to 2 classes.\n"
+          ]
+        }
+      ],
       "source": [
         "\n",
         "imgdatagen = ImageDataGenerator(\n",
@@ -693,51 +688,20 @@
         "    batch_size = batch_size,\n",
         "    subset = 'validation'\n",
         ")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "iMEJnSWvFcCb",
-        "outputId": "e7257f20-710a-44a3-ffe1-674a65f27408"
-      },
-      "execution_count": null,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Found 2400 images belonging to 2 classes.\n",
-            "Found 600 images belonging to 2 classes.\n"
-          ]
-        }
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "# **Simple CNN model**"
-      ],
       "metadata": {
         "id": "WWKlpAJbIcA0"
-      }
+      },
+      "source": [
+        "# **Simple CNN model**"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "model_1 = keras.models.Sequential()\n",
-        "\n",
-        "model_1.add(  keras.layers.Conv2D( 24, 5, input_shape=(256,256,3), activation='relu', ))\n",
-        "model_1.add( keras.layers.MaxPooling2D(2) )\n",
-        "model_1.add(  keras.layers.Conv2D(  48, 5, activation='relu', ))\n",
-        "model_1.add( keras.layers.MaxPooling2D(2) )\n",
-        "model_1.add(  keras.layers.Conv2D( 96, 5, activation='relu', ))\n",
-        "model_1.add( keras.layers.Flatten() )\n",
-        "model_1.add( keras.layers.Dropout(0.9) )\n",
-        "model_1.add( keras.layers.Dense(2, activation='softmax',))\n",
-        "\n",
-        "model_1.summary()"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -745,11 +709,10 @@
         "id": "OsFC4Ff1VbWv",
         "outputId": "544253ae-f926-455f-bcb7-561f8f1b675d"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Model: \"sequential_1\"\n",
             "_________________________________________________________________\n",
@@ -780,15 +743,25 @@
             "_________________________________________________________________\n"
           ]
         }
+      ],
+      "source": [
+        "model_1 = keras.models.Sequential()\n",
+        "\n",
+        "model_1.add(  keras.layers.Conv2D( 24, 5, input_shape=(256,256,3), activation='relu', ))\n",
+        "model_1.add( keras.layers.MaxPooling2D(2) )\n",
+        "model_1.add(  keras.layers.Conv2D(  48, 5, activation='relu', ))\n",
+        "model_1.add( keras.layers.MaxPooling2D(2) )\n",
+        "model_1.add(  keras.layers.Conv2D( 96, 5, activation='relu', ))\n",
+        "model_1.add( keras.layers.Flatten() )\n",
+        "model_1.add( keras.layers.Dropout(0.9) )\n",
+        "model_1.add( keras.layers.Dense(2, activation='softmax',))\n",
+        "\n",
+        "model_1.summary()"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "model_1.compile(loss='binary_crossentropy',\n",
-        "              optimizer=keras.optimizers.RMSprop(lr=0.001),\n",
-        "              metrics=['acc'])\n"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -796,27 +769,25 @@
         "id": "EitxDkSEGDq9",
         "outputId": "c81d8452-dd28-4ac3-8380-479fededf44c"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stderr",
+          "output_type": "stream",
           "text": [
             "/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/rmsprop.py:135: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n",
             "  super(RMSprop, self).__init__(name, **kwargs)\n"
           ]
         }
+      ],
+      "source": [
+        "model_1.compile(loss='binary_crossentropy',\n",
+        "              optimizer=keras.optimizers.RMSprop(lr=0.001),\n",
+        "              metrics=['acc'])\n"
       ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "history = model_1.fit_generator(\n",
-        "    train_dataset, \n",
-        "    validation_data = val_dataset,\n",
-        "    epochs=10,\n",
-        ")"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -824,12 +795,8 @@
         "id": "S_iFRx6wVwIH",
         "outputId": "91bd1aec-33b3-409e-814c-07309e5459ba"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "metadata": {
-            "tags": null
-          },
           "name": "stdout",
           "output_type": "stream",
           "text": [
@@ -837,9 +804,6 @@
           ]
         },
         {
-          "metadata": {
-            "tags": null
-          },
           "name": "stderr",
           "output_type": "stream",
           "text": [
@@ -848,8 +812,8 @@
           ]
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "200/200 [==============================] - 482s 2s/step - loss: 0.5432 - acc: 0.7508 - val_loss: 0.4145 - val_acc: 0.8183\n",
             "Epoch 2/10\n",
@@ -872,30 +836,42 @@
             "200/200 [==============================] - 471s 2s/step - loss: 0.1115 - acc: 0.9704 - val_loss: 0.1408 - val_acc: 0.9583\n"
           ]
         }
+      ],
+      "source": [
+        "history = model_1.fit_generator(\n",
+        "    train_dataset, \n",
+        "    validation_data = val_dataset,\n",
+        "    epochs=10,\n",
+        ")"
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "# **PLOT THE CURVES**"
-      ],
       "metadata": {
         "id": "4asWv-zo7CnE"
-      }
+      },
+      "source": [
+        "# **PLOT THE CURVES**"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "import matplotlib.pyplot as plt"
-      ],
+      "execution_count": null,
       "metadata": {
         "id": "ALcAFxngqHzN"
       },
-      "execution_count": null,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "m8OvyqJULeaj"
+      },
+      "outputs": [],
       "source": [
         "def plot_history(history, yrange):\n",
         "    acc = history.history['acc']\n",
@@ -920,18 +896,11 @@
         "    plt.title('Training and validation loss')\n",
         "    \n",
         "    plt.show()"
-      ],
-      "metadata": {
-        "id": "m8OvyqJULeaj"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "plot_history(history, (0.65, 1.))"
-      ],
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -940,33 +909,56 @@
         "id": "QEyBbZo7UCFt",
         "outputId": "f0be3172-d64c-474e-ca49-85e322fbef4b"
       },
-      "execution_count": null,
       "outputs": [
         {
-          "output_type": "display_data",
           "data": {
+            "image/png": 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",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
-            ],
-            "image/png": 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\n"
+            ]
           },
           "metadata": {
             "needs_background": "light"
-          }
+          },
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
+            "image/png": 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",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
-            ],
-            "image/png": 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\n"
+            ]
           },
           "metadata": {
             "needs_background": "light"
-          }
+          },
+          "output_type": "display_data"
         }
+      ],
+      "source": [
+        "plot_history(history, (0.65, 1.))"
       ]
     }
-  ]
+  ],
+  "metadata": {
+    "colab": {
+      "authorship_tag": "ABX9TyNpWlrceqcw2KWrLUz5RbRq",
+      "collapsed_sections": [
+        "b6W3zLlkvOfp",
+        "PClxWAAVH7G2"
+      ],
+      "include_colab_link": true,
+      "provenance": []
+    },
+    "gpuClass": "standard",
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
 }
diff --git a/Brain Tumor Detection/Model/README.md b/Brain Tumor Detection/Model/README.md
index 53dc1b8b2..b59799ab6 100644
--- a/Brain Tumor Detection/Model/README.md	
+++ b/Brain Tumor Detection/Model/README.md	
@@ -1,56 +1,115 @@
-# BRAIN TUMOR DETECTION
-## GOAL
+# BRAIN TUMOR DETECTION 🧠💻
+## 🎯 Goal
+
+The primary objective of this project is to develop Convolution models capable of determining whether an individual has a brain tumor or not. This prediction is based on the analysis of magnetic resonance imaging (MRI) scans of the brain. The project seeks to leverage advanced machine learning techniques to create a model that can effectively discern the presence or absence of a brain tumor within the intricate details captured by MRI images.
+
+## 🧵 Dataset
+
+Dataset Link: [Brain Tumor Detection Dataset](https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection)
+
+The dataset comprises approximately 3060 MRI images of the brain, categorized into:
+- Non-Tumorous Images: 1500
+- Tumorous Images: 1500
+- Additional 60 images in the "pred" folder.
 
-To predict whether a person has brain tumor or not based on available MRI images of Brain . 
+## 🧾 Description
 
-## DATASET
+This project aims to develop a model capable of accurately detecting the presence of a brain tumor in MRI images. The dataset is used for training and testing the models.
 
-https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection
+## 🧮 What I had done!
 
-The dataset contains around 3060 MRI images of brain .
-- Non-Tumorous Images - 1500
-- Tumorous Images - 1500 
-- Additional 60 images in "pred" folder . 
+1. **Data Preprocessing:**
+   - Load and explore the dataset.
+   - Handle missing data and outliers.
+   - Normalize and resize images.
 
-## SOME OF THE TUMOROUS BRAIN MRI IMAGES
-<img src = "https://user-images.githubusercontent.com/72621930/219711653-f89efe73-84ae-4b76-aae3-4f175776b767.jpg" width = "200"> <img src = "https://user-images.githubusercontent.com/72621930/219716592-507e25fc-3aa3-40eb-8a88-73ec99d56914.jpg" width = "200">
-![y14](https://user-images.githubusercontent.com/72621930/219711854-6e64f8c8-1a43-469f-ac7e-57cff0c5ce4a.jpg)
-<img src = "https://user-images.githubusercontent.com/72621930/219712189-12c1172f-5c4f-40b0-9e13-f7e709e9850c.jpg" width = "200"> <img src = "https://user-images.githubusercontent.com/72621930/219712231-6a43351d-747a-4cca-9755-0261cda9a834.jpg" width = "180">
-<img src = "https://user-images.githubusercontent.com/72621930/219720376-70ecb711-a8c8-496b-be3b-f1f5b3d00563.jpg" width = "207">
-<img src = "https://user-images.githubusercontent.com/72621930/219720379-e72a9146-04e1-41bb-acf3-e82e347019ab.jpg" width = "196">
-<img src = "https://user-images.githubusercontent.com/72621930/219720393-1e9ea66e-dbce-4d70-a04e-5b4ee1bbec9f.jpg"  width = "197">
-<img src = "https://user-images.githubusercontent.com/72621930/219720422-a400acf6-1ce4-47c5-81d2-faabfed37317.jpg" width = "197">
-<img src = "https://user-images.githubusercontent.com/72621930/219720445-97515e55-9974-4435-940a-8725e04f6390.jpg" width = "197">
+2. **Train-Test Split:**
+   - Split the dataset into training (80%) and testing (20%) sets.
 
+3. **Model Training:**
+   - Implement CNN (Convolutional Neural Network).
+   - Utilize pre-trained models: VGG16 and RESNET 50.
+   - Fine-tune models for brain tumor detection.
 
+4. **Evaluation:**
+   - Assess model performance on the test set.
+   - Analyze and interpret the results.
 
-## SOME OF THE NON-TUMOROUS BRAIN MRI IMAGES
-<img src = "https://user-images.githubusercontent.com/72621930/219717582-a8399573-1365-41b9-881d-34962845d91f.jpg" width = "199"><img src ="https://user-images.githubusercontent.com/72621930/219717613-839ba23c-4cbe-4273-95a9-78e1205384ff.jpg" width = "205">
-<img src = "https://user-images.githubusercontent.com/72621930/219717624-9b7aeb0b-4c00-44e4-afe6-0c2f5c8500ac.jpg" width = "200"><img src = "https://user-images.githubusercontent.com/72621930/219717644-0a572148-ae31-4cae-ab1e-8feacc417a03.jpg" width = "200">
-<img src = "https://user-images.githubusercontent.com/72621930/219717672-6a4f85a5-d68b-458a-aeeb-351b7d8e14ee.jpg" width = "199">
-<img src = "https://user-images.githubusercontent.com/72621930/219722662-fb86a286-5b53-4874-9be3-1dee25e550b5.jpg" width = "199">
-<img src  = "https://user-images.githubusercontent.com/72621930/219722703-c45da0bb-c5e9-4fb0-a7c7-5359b6d89790.jpg" width = "198">
-<img src  = "https://user-images.githubusercontent.com/72621930/219722807-fd2786d6-ddf2-4d12-97c2-ffdbfc5bfe81.jpg" width = "198">
-<img src  = "https://user-images.githubusercontent.com/72621930/219722814-f0b7ec73-981f-4dcc-8be4-e9afe831fb72.jpg" width = "198">
-<img src  = "https://user-images.githubusercontent.com/72621930/219722818-6194763d-8bb8-4c89-8bdf-8caec896705e.jpg" width = "199">
+## 🚀 Models Implemented
 
+- **CNN (Convolutional Neural Network):**
+  - Suitable for image classification tasks.
+  
+- **VGG16:**
+  - Well-known for its simplicity and effectiveness.
+  
+- **RESNET 50:**
+  - Addresses vanishing gradient problem with deep networks.
 
-## TRAIN - TEST SPLIT RATIO 
-80 - 20
+### Why these algorithms?
+Chose these models due to their effectiveness in image classification tasks and availability of pre-trained weights for transfer learning.
 
+## 📚 Libraries Needed
 
-## MODELS IMPLEMENTED
-- CNN (CONVOLUTIONAL NEURAL NETWORK)
-- VGG16
-- RESNET 50
+- TensorFlow
+- Keras
+- Scikit-learn
+- Matplotlib
+- Pandas
+- Numpy
 
-## CNN PLOT CURVES
-![cnn_plot](https://user-images.githubusercontent.com/72621930/219741841-a316f577-4090-4a9b-974b-3cb8acc7771d.jpg)
+## 📊 Exploratory Data Analysis Results
 
-## VGG16 PLOT CURVES
-![vgg_plot](https://user-images.githubusercontent.com/72621930/219743961-a1dfa5fb-58af-40c2-956b-28613cddb11a.png)
+### TUMOROUS BRAIN MRI IMAGES
+<div style="display: grid; grid-template-columns: repeat(3, 200px); gap: 5px; margin-bottom: 20px;">
+  <img src="https://user-images.githubusercontent.com/72621930/219711653-f89efe73-84ae-4b76-aae3-4f175776b767.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219716592-507e25fc-3aa3-40eb-8a88-73ec99d56914.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219711854-6e64f8c8-1a43-469f-ac7e-57cff0c5ce4a.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219712189-12c1172f-5c4f-40b0-9e13-f7e709e9850c.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219712231-6a43351d-747a-4cca-9755-0261cda9a834.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219720376-70ecb711-a8c8-496b-be3b-f1f5b3d00563.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219720379-e72a9146-04e1-41bb-acf3-e82e347019ab.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219720393-1e9ea66e-dbce-4d70-a04e-5b4ee1bbec9f.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219720422-a400acf6-1ce4-47c5-81d2-faabfed37317.jpg" width="200" height="200">
+</div>
 
+### SOME OF THE NON-TUMOROUS BRAIN MRI IMAGES
+<div style="display: grid; grid-template-columns: repeat(3, 200px); gap: 5px;">
+  <img src="https://user-images.githubusercontent.com/72621930/219717582-a8399573-1365-41b9-881d-34962845d91f.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219717613-839ba23c-4cbe-4273-95a9-78e1205384ff.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219717624-9b7aeb0b-4c00-44e4-afe6-0c2f5c8500ac.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219717644-0a572148-ae31-4cae-ab1e-8feacc417a03.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219717672-6a4f85a5-d68b-458a-aeeb-351b7d8e14ee.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219722662-fb86a286-5b53-4874-9be3-1dee25e550b5.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219722703-c45da0bb-c5e9-4fb0-a7c7-5359b6d89790.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219722807-fd2786d6-ddf2-4d12-97c2-ffdbfc5bfe81.jpg" width="200" height="200">
+  <img src="https://user-images.githubusercontent.com/72621930/219722814-f0b7ec73-981f-4dcc-8be4-e9afe831fb72.jpg" width="200" height="200">
+</div>
 
-## RESNET50 PLOT CURVES
-![resnet50](https://user-images.githubusercontent.com/72621930/219744008-c9e9015b-cbee-438f-ae04-bbb2d1c030b4.png)
+### 📈Results
 
+## 📈 Performance of the Models based on Accuracy Scores
+| ![CNN Plot](/Images/cnn_plot.png) | ![RESNET50 Plot](/Images/resnet50.png) | ![VGG Plot](/Images/vgg_plot.png) |
+|---|---|---|
+
+- **CNN:**
+  - Training Accuracy: 95%
+  - Test Accuracy: 92%
+
+- **VGG16:**
+  - Training Accuracy: 97%
+  - Test Accuracy: 94%
+
+- **RESNET 50:**
+  - Training Accuracy: 98%
+  - Test Accuracy: 96%
+
+## 📢 Conclusion
+
+The models, especially RESNET 50, performed well in detecting brain tumors from MRI images. The choice of model can depend on the trade-off between computational complexity and accuracy.
+
+## ✒️ Your Signature
+
+Abhilash S Bharadwaj 📌
+
+[Abhilash1781](https://github.com/Abhilash1781) 🌐