From 6dd6dc5fa60faf4a23b52551c9b33b5e438192db Mon Sep 17 00:00:00 2001 From: TheTUFGuy Date: Tue, 14 Jun 2022 20:26:03 +0530 Subject: [PATCH 1/5] A2_200698 --- Assignment 2/A2_200698.ipynb | 906 +++++++++++++++++++++++++++++++++++ 1 file changed, 906 insertions(+) create mode 100644 Assignment 2/A2_200698.ipynb diff --git a/Assignment 2/A2_200698.ipynb b/Assignment 2/A2_200698.ipynb new file mode 100644 index 0000000..d7e2774 --- /dev/null +++ b/Assignment 2/A2_200698.ipynb @@ -0,0 +1,906 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "UxcaEbrCy1g_" + }, + "source": [ + "# Assigment 2: Deep Learning" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "h2JON-_Oy79w" + }, + "source": [ + "## Generate Dataset\n", + "\n", + "This is the same code from Assignment 1" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": { + "id": "hgpG3WDuypfa" + }, + "outputs": [], + "source": [ + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Generate the data\n", + "X, y = datasets.make_regression(n_samples=10000, n_features=5, noise=5, random_state=4)\n", + "\n", + "# Split the data\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1234)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "r6it-Rm7zD1Y" + }, + "source": [ + "## Visualize Dataset\n", + "This is the same code from Assignment 1" + ] + }, + { + "cell_type": "code", + "execution_count": 477, + "metadata": { + "id": "UautPVj1yzaQ" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 477, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# Your code here\n", + "plt.rcParams[\"figure.figsize\"] = (10,10)\n", + "plt.scatter(X[:,0],y)\n", + "plt.scatter(X[:,1],y)\n", + "plt.scatter(X[:,2],y)\n", + "plt.scatter(X[:,3],y)\n", + "plt.scatter(X[:,4],y)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XMXb9lTyzGHE" + }, + "source": [ + "## Model Definition\n", + "\n", + "Using TensorFlow, build a model with the following definition:\n", + "> Input of shape 5 \\\\\n", + "> Dense of shape 5 \\\\\n", + "> Dense of shape 5 \\\\\n", + "> Dense of shape 1 \\\\\n", + "\n", + "Use Mean Square Error Loss and Stochaistic Gradient Descent (SGD) Optimizer\n", + "\n", + "Use Gradient Decay with appropriate parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": { + "id": "r32N1xK2ziOs" + }, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "\n", + "# Your code here" + ] + }, + { + "cell_type": "code", + "execution_count": 479, + "metadata": {}, + "outputs": [], + "source": [ + "model = tf.keras.Sequential([\n", + " tf.keras.layers.Input(shape=(5,)),\n", + " tf.keras.layers.Dense(5, activation='relu'),\n", + " tf.keras.layers.Dense(5, activation='relu'),\n", + " tf.keras.layers.Dense(1)\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": {}, + "outputs": [], + "source": [ + "opt = tf.keras.optimizers.SGD(learning_rate=0.001,decay=0.1)\n", + "# opt = tf.keras.optimizers.RMSprop()\n", + "model.compile(opt,loss='mse',metrics='mse')" + ] + }, + { + "cell_type": "code", + "execution_count": 481, + "metadata": {}, + "outputs": [], + "source": [ + "# Splitting data into train and validation data\n", + "X_train_data, X_train_validation, y_train_data, y_train_validation = train_test_split(X_train, y_train, test_size=0.2, random_state=69)" + ] + }, + { + "cell_type": "code", + "execution_count": 482, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/100\n", + "200/200 [==============================] - 1s 2ms/step - loss: 2440.5205 - mse: 2440.5205 - val_loss: 125.9075 - val_mse: 125.9075\n", + "Epoch 2/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 83.1356 - mse: 83.1356 - val_loss: 62.6759 - val_mse: 62.6759\n", + "Epoch 3/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 49.0916 - mse: 49.0916 - val_loss: 45.3941 - val_mse: 45.3941\n", + "Epoch 4/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 38.3779 - mse: 38.3779 - val_loss: 38.2120 - val_mse: 38.2120\n", + "Epoch 5/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 33.8262 - mse: 33.8262 - val_loss: 34.7110 - val_mse: 34.7110\n", + "Epoch 6/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 31.4967 - mse: 31.4967 - val_loss: 32.8231 - val_mse: 32.8231\n", + "Epoch 7/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 30.1997 - mse: 30.1997 - val_loss: 31.6434 - val_mse: 31.6434\n", + "Epoch 8/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 29.3647 - mse: 29.3647 - val_loss: 30.9356 - val_mse: 30.9356\n", + "Epoch 9/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 28.7994 - mse: 28.7994 - val_loss: 30.3108 - val_mse: 30.3108\n", + "Epoch 10/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 28.4035 - mse: 28.4035 - val_loss: 29.9219 - val_mse: 29.9219\n", + "Epoch 11/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 28.0972 - mse: 28.0972 - val_loss: 29.6043 - val_mse: 29.6043\n", + "Epoch 12/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.8630 - mse: 27.8630 - val_loss: 29.4006 - val_mse: 29.4006\n", + "Epoch 13/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.6774 - mse: 27.6774 - val_loss: 29.1794 - val_mse: 29.1794\n", + "Epoch 14/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.5229 - mse: 27.5229 - val_loss: 29.0380 - val_mse: 29.0380\n", + "Epoch 15/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.3986 - mse: 27.3986 - val_loss: 28.8810 - val_mse: 28.8810\n", + "Epoch 16/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.2895 - mse: 27.2895 - val_loss: 28.7657 - val_mse: 28.7657\n", + "Epoch 17/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.1967 - mse: 27.1967 - val_loss: 28.6637 - val_mse: 28.6637\n", + "Epoch 18/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.1143 - mse: 27.1143 - val_loss: 28.5751 - val_mse: 28.5751\n", + "Epoch 19/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 27.0428 - mse: 27.0428 - val_loss: 28.5028 - val_mse: 28.5028\n", + "Epoch 20/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.9822 - mse: 26.9822 - val_loss: 28.4314 - val_mse: 28.4314\n", + "Epoch 21/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.9263 - mse: 26.9263 - val_loss: 28.3664 - val_mse: 28.3664\n", + "Epoch 22/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.8733 - mse: 26.8733 - val_loss: 28.2973 - val_mse: 28.2973\n", + "Epoch 23/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.8272 - mse: 26.8272 - val_loss: 28.2481 - val_mse: 28.2481\n", + "Epoch 24/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.7844 - mse: 26.7844 - val_loss: 28.2006 - val_mse: 28.2006\n", + "Epoch 25/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.7447 - mse: 26.7447 - val_loss: 28.1562 - val_mse: 28.1562\n", + "Epoch 26/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.7060 - mse: 26.7060 - val_loss: 28.1102 - val_mse: 28.1102\n", + "Epoch 27/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.6732 - mse: 26.6732 - val_loss: 28.0799 - val_mse: 28.0799\n", + "Epoch 28/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.6409 - mse: 26.6409 - val_loss: 28.0342 - val_mse: 28.0342\n", + "Epoch 29/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.6110 - mse: 26.6110 - val_loss: 28.0017 - val_mse: 28.0017\n", + "Epoch 30/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.5821 - mse: 26.5821 - val_loss: 27.9702 - val_mse: 27.9702\n", + "Epoch 31/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.5555 - mse: 26.5555 - val_loss: 27.9381 - val_mse: 27.9381\n", + "Epoch 32/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.5315 - mse: 26.5315 - val_loss: 27.9048 - val_mse: 27.9048\n", + "Epoch 33/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.5066 - mse: 26.5066 - val_loss: 27.8802 - val_mse: 27.8802\n", + "Epoch 34/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.4844 - mse: 26.4844 - val_loss: 27.8516 - val_mse: 27.8516\n", + "Epoch 35/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.4624 - mse: 26.4624 - val_loss: 27.8274 - val_mse: 27.8274\n", + "Epoch 36/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.4421 - mse: 26.4421 - val_loss: 27.8005 - val_mse: 27.8005\n", + "Epoch 37/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.4218 - mse: 26.4218 - val_loss: 27.7795 - val_mse: 27.7795\n", + "Epoch 38/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.4029 - mse: 26.4029 - val_loss: 27.7571 - val_mse: 27.7571\n", + "Epoch 39/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.3847 - mse: 26.3847 - val_loss: 27.7373 - val_mse: 27.7373\n", + "Epoch 40/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.3659 - mse: 26.3659 - val_loss: 27.7116 - val_mse: 27.7116\n", + "Epoch 41/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.3493 - mse: 26.3493 - val_loss: 27.6906 - val_mse: 27.6906\n", + "Epoch 42/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.3336 - mse: 26.3336 - val_loss: 27.6714 - val_mse: 27.6714\n", + "Epoch 43/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.3171 - mse: 26.3171 - val_loss: 27.6540 - val_mse: 27.6540\n", + "Epoch 44/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.3017 - mse: 26.3017 - val_loss: 27.6387 - val_mse: 27.6387\n", + "Epoch 45/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2868 - mse: 26.2868 - val_loss: 27.6239 - val_mse: 27.6239\n", + "Epoch 46/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2743 - mse: 26.2743 - val_loss: 27.6066 - val_mse: 27.6066\n", + "Epoch 47/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2591 - mse: 26.2591 - val_loss: 27.5925 - val_mse: 27.5925\n", + "Epoch 48/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2463 - mse: 26.2463 - val_loss: 27.5760 - val_mse: 27.5760\n", + "Epoch 49/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2326 - mse: 26.2326 - val_loss: 27.5604 - val_mse: 27.5604\n", + "Epoch 50/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2201 - mse: 26.2201 - val_loss: 27.5454 - val_mse: 27.5454\n", + "Epoch 51/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.2075 - mse: 26.2075 - val_loss: 27.5307 - val_mse: 27.5307\n", + "Epoch 52/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1956 - mse: 26.1956 - val_loss: 27.5175 - val_mse: 27.5175\n", + "Epoch 53/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1838 - mse: 26.1838 - val_loss: 27.5045 - val_mse: 27.5045\n", + "Epoch 54/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1722 - mse: 26.1722 - val_loss: 27.4906 - val_mse: 27.4906\n", + "Epoch 55/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1614 - mse: 26.1614 - val_loss: 27.4785 - val_mse: 27.4785\n", + "Epoch 56/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 26.1505 - mse: 26.1505 - val_loss: 27.4654 - val_mse: 27.4654\n", + "Epoch 57/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1401 - mse: 26.1401 - val_loss: 27.4543 - val_mse: 27.4543\n", + "Epoch 58/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1295 - mse: 26.1295 - val_loss: 27.4426 - val_mse: 27.4426\n", + "Epoch 59/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1197 - mse: 26.1197 - val_loss: 27.4301 - val_mse: 27.4301\n", + "Epoch 60/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1098 - mse: 26.1098 - val_loss: 27.4188 - val_mse: 27.4188\n", + "Epoch 61/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.1006 - mse: 26.1006 - val_loss: 27.4075 - val_mse: 27.4075\n", + "Epoch 62/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0910 - mse: 26.0910 - val_loss: 27.3967 - val_mse: 27.3967\n", + "Epoch 63/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0821 - mse: 26.0821 - val_loss: 27.3863 - val_mse: 27.3863\n", + "Epoch 64/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0726 - mse: 26.0726 - val_loss: 27.3763 - val_mse: 27.3763\n", + "Epoch 65/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0644 - mse: 26.0644 - val_loss: 27.3664 - val_mse: 27.3664\n", + "Epoch 66/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0559 - mse: 26.0559 - val_loss: 27.3553 - val_mse: 27.3553\n", + "Epoch 67/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0473 - mse: 26.0473 - val_loss: 27.3456 - val_mse: 27.3456\n", + "Epoch 68/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0389 - mse: 26.0389 - val_loss: 27.3362 - val_mse: 27.3362\n", + "Epoch 69/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0311 - mse: 26.0311 - val_loss: 27.3265 - val_mse: 27.3265\n", + "Epoch 70/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0233 - mse: 26.0233 - val_loss: 27.3167 - val_mse: 27.3167\n", + "Epoch 71/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0156 - mse: 26.0156 - val_loss: 27.3081 - val_mse: 27.3081\n", + "Epoch 72/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0081 - mse: 26.0081 - val_loss: 27.3013 - val_mse: 27.3013\n", + "Epoch 73/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 26.0009 - mse: 26.0009 - val_loss: 27.2927 - val_mse: 27.2927\n", + "Epoch 74/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9938 - mse: 25.9938 - val_loss: 27.2833 - val_mse: 27.2833\n", + "Epoch 75/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9869 - mse: 25.9869 - val_loss: 27.2757 - val_mse: 27.2757\n", + "Epoch 76/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9794 - mse: 25.9794 - val_loss: 27.2672 - val_mse: 27.2672\n", + "Epoch 77/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9731 - mse: 25.9731 - val_loss: 27.2589 - val_mse: 27.2589\n", + "Epoch 78/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9666 - mse: 25.9666 - val_loss: 27.2510 - val_mse: 27.2510\n", + "Epoch 79/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9599 - mse: 25.9599 - val_loss: 27.2423 - val_mse: 27.2423\n", + "Epoch 80/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9533 - mse: 25.9533 - val_loss: 27.2344 - val_mse: 27.2344\n", + "Epoch 81/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9471 - mse: 25.9471 - val_loss: 27.2264 - val_mse: 27.2264\n", + "Epoch 82/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9413 - mse: 25.9413 - val_loss: 27.2192 - val_mse: 27.2192\n", + "Epoch 83/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9346 - mse: 25.9346 - val_loss: 27.2125 - val_mse: 27.2125\n", + "Epoch 84/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9285 - mse: 25.9285 - val_loss: 27.2052 - val_mse: 27.2052\n", + "Epoch 85/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9229 - mse: 25.9229 - val_loss: 27.1980 - val_mse: 27.1980\n", + "Epoch 86/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9174 - mse: 25.9174 - val_loss: 27.1911 - val_mse: 27.1911\n", + "Epoch 87/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9115 - mse: 25.9115 - val_loss: 27.1845 - val_mse: 27.1845\n", + "Epoch 88/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9060 - mse: 25.9060 - val_loss: 27.1782 - val_mse: 27.1782\n", + "Epoch 89/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.9001 - mse: 25.9001 - val_loss: 27.1709 - val_mse: 27.1709\n", + "Epoch 90/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8947 - mse: 25.8947 - val_loss: 27.1645 - val_mse: 27.1645\n", + "Epoch 91/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8896 - mse: 25.8896 - val_loss: 27.1581 - val_mse: 27.1581\n", + "Epoch 92/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8842 - mse: 25.8842 - val_loss: 27.1529 - val_mse: 27.1529\n", + "Epoch 93/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8793 - mse: 25.8793 - val_loss: 27.1473 - val_mse: 27.1473\n", + "Epoch 94/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8744 - mse: 25.8744 - val_loss: 27.1417 - val_mse: 27.1417\n", + "Epoch 95/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8694 - mse: 25.8694 - val_loss: 27.1355 - val_mse: 27.1355\n", + "Epoch 96/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8643 - mse: 25.8643 - val_loss: 27.1301 - val_mse: 27.1301\n", + "Epoch 97/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8595 - mse: 25.8595 - val_loss: 27.1244 - val_mse: 27.1244\n", + "Epoch 98/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8545 - mse: 25.8545 - val_loss: 27.1184 - val_mse: 27.1184\n", + "Epoch 99/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8499 - mse: 25.8499 - val_loss: 27.1130 - val_mse: 27.1130\n", + "Epoch 100/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 25.8452 - mse: 25.8452 - val_loss: 27.1080 - val_mse: 27.1080\n" + ] + } + ], + "source": [ + "versions = model.fit(X_train_data,y_train_data,validation_data=(X_train_validation,y_train_validation),epochs=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "MSE: 26.513765335083008\n" + ] + } + ], + "source": [ + "test_loss, test_mse = model.evaluate(X_test,y_test, verbose=3)\n", + "\n", + "print('\\nMSE:', test_mse)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jmeP6vt3z0oA" + }, + "source": [ + "## Plot Loss\n", + "\n", + "Using matplotlib visualise how the loss (both validation and training) is changing, use this information to retrain the model with appropriate parameters.
We ideally want the loss to be constant over the last few iterations." + ] + }, + { + "cell_type": "code", + "execution_count": 484, + "metadata": { + "id": "RQTNqPHm0mOi" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 484, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "# Your code here\n", + "versions_df = pd.DataFrame(versions.history)\n", + "versions_df.describe()\n", + "versions_df.loc[:,['mse', 'val_mse']].plot()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IVrR_vXA7kOt" + }, + "source": [ + "## Evaluation Metrics\n", + "Use the R2 Score function implemented in the first assignment to evaluate the performance of the model." + ] + }, + { + "cell_type": "code", + "execution_count": 485, + "metadata": { + "id": "-lOHpD8-7ggm" + }, + "outputs": [], + "source": [ + "# Insert the function for R2 Score\n", + "import numpy as np\n", + "def r2_score(y_true, y_pred):\n", + " # return the r2 score\n", + " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", + " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", + " return 1 - sum_square_regression/total_sum_squares\n", + " # pass # Uncomment this when you're done with this function" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.9980982811892871\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 486, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+rHKLdlVJ4p7S/QYAlm6ueGeyZeFiKCKbriqV3+POVxZzkeScDHplf1IuwxC+QYsXIcSJJNZC9bdjL1/E4nKr+/nVpZa3tSqtiyFPi1nYwjUmBFZlbx+AMoLHbecrq7lIek6GxQpcJapgZS2CYQjfoPAihDiTZMGcnmrgxKlLPcIL8BcjaV0MeWXTRUVMVHQpyohBMZ2vrOZiGNw+w8AgueGzYNCFO12NhJDcySIgNq2LIa+gXJ2I0VElMZLVXAyD22cYGIZMv1GCFi9CSmBU3AKKNJaR8FxNTgRYPz6G95Zb3vOWl3XGRaxUTYxkNRfD4PYZBoYh02+UoPAiQ0/VRI6vW6Bq40/CkYPbceTF82it3XLDBWMiVoxE5+rqUgv1oIZnD+3xnoO8sulMIqbWifWqCdFjfajCuctyLgbd7ZMHRd+zdPkOFnQ1kqGmKhlmYVzcAirj7K6jJ3F4dqFS40+MiPm3hixdKHll05ncbZ++5w7Ug1o35qtK546ZhflRxjOHLt/BghYvMtRUsT1JnFsgauWJhmqXPf4knDh1Ca3V3iNprcrY48jahZKHdcbkbqvitRdGNxcmS01VrK5VGYeNMs47Xb6DBYUXGWqqGPsQ5xZwCdYetNiNpOdhUFwoOhFzeHZB+92qnjuTC/zsW1d6+mqWlTE3KJl7ZT1z6PIdHOhqJEONrTdjEcU0dcS5BVwe0FUTHnEk7ZE5yC6UovuCpsVkqfnyN96pRMbcoGTuDdp5J8VD4UWGGtPCfWDH1tJiv+Lia+Ie0IMiPMIkFVCDHIs0aKLRJPjzrksW9wKk/q6zfGY5jqwYtPNOioeuRjLUVDX+xuYW0GWcCbRjvRoDGruRJgZlUF0ogxZ3E5edqft+WuLch9G/m8ZdJQbtvJPiEdLwNlMl9u3bJ8+ePVv2MMgQcffRk31B60Bb4Pxg5v6ih9PHIAQRhxm08ZJ+dCKnHtTw8N5GT4yX+jwLy6PJktWYrOP1ox+zWrqAwX8hGSR4j/shhDgnpdyn+1tqi5cQ4g4AvwvgL6B9D3xRSvmbQogtAGYB3AXgTQCfklJeFUIIAL8J4OcALAH4JSnlt9OOgxAfqh60PUhWnkEJes4TtSg1F5e7FqJBEwM2S82+O7fksujaAtHn5ptOogsYzWuuSHiPZ0tqi5cQ4jYAt0kpvy2E+HMAzgGYBvBLAK5IKWeEEEcBbJZS/mMhxM8B+L+hLbzuAfCbUsp7bPugxYtkjentflDih6qEySoxWQ+w8NR92t8M09uzzR0W1AQ2rhtPVGl/mObIhOna2TwR4HprzehiNLk/laWMZEucZZL0k6vFS0r5LoB3O//9X4UQfwygAeATAP5652u/A+DfAPjHnc9/V7YV3xkhxKQQ4rbOdggpBMZhZIfJarG43MLcfFNbK2qY3p5t5T9aq7LbHNznOAd1jlzEYvg7m+oBgproqfFWD2qQEsY5rQc1499sFjKSnCqW5RlkMg2uF0LcBWAKwDcA/IWQmPrPaLsigbYoeyf0sx92PqPwIoUySO68KmNy2wLQJiuUndiQNT6Lj+04w4JkTGPRqfocuYjF6HeUKB0TwJq8FatlqoEGAM88tAuPv3Bea/GqCYd2CMSbqodmDBqZlZMQQnwAwEsAHpNS/ln4bx3rlpdPUwjxWSHEWSHE2cuXL2c1TEJIxtjS5HWipApvz1nWcPNdfHTHGW0zk3cJhzxwqbN17OWLWmvVmrxVcmF6qmGc08ZkHdNTDeP8mD4fVtJex66/Z4mMbMlEeAkhArRF1/NSyq91Pv4vnfgvFQf2J53PmwDuCP38g53PepBSflFKuU9KuW/r1q1ZDJMQYiHpQ3x6qoHNE4H2b7oF1LSoSqBvv3ksLFn30tMtSjZ0x+/SrcD02yJwOQ8urbCUhUtHWKTFLfQNizAbFdJexz6/H+R6elUki6xGAeC3APyxlPI3Qn96GcAvApjp/P/fD33+K0KIr6AdXP8e47sIKRfXmCJTDM9TD+zUJivo3oh1dcoU4f0CSBXnZDqm9eNjmbo6w/GC4azGzRMB3r++gtZab/ySbk5cLFlJLAxZBOi7Xhsmd9SYEN1xxKHmIS4GU3cNjZoFJq3L3vf3DM3IjixivPYD+G8BXBBCLHQ++ydoC64XhBC/DOAtAJ/q/O3raGc0fhftchJ/J4MxEEJS4PIQdlmAXRb5qFCJErZ85LGwmCxLadx4pkXJVfjYipeuSZlINM3NN3HkxfNd4ddcXMaRF893x+uK6wJtEtSrUsYWQVWELXq2hZ7JMeld9lVw+Y8qWWQ1/m9ol1TR8TOa70sAfz/tfgkh2eHyEI5bgH3eiNV3TYVsbQ//ZqfGU9y+fBeQPNx4rnNisuCkcecce/lij7UNAFprEsdevmjNNIyKGNcFWn1fF/i+3Fo1loBQ+FqsRt0CkzbgnQHz5cFejWSkKKsxdlVR82FaDsMP4SzfkF32a1sAHptdwJ7jr1rPn+n3myeCygUK5xFDY4qnin4eF+tjmkflQowex5ol8D067+qNnTFD/qQNeGfAfHmwVyMZGQa1NlJexPXBiz6Es3pD9tmv7XuLyy3r+TNZkZ56YCeA6rmpwhYcZYE6PLuQ+/hMlszHX2i7JeNciGrsCtN1okpFVG3eyyCL2Lu07la6a8uDvRrJyFDl6su2B3FeFcxtffB07W6iMUMAEIwJnHhkt9d4XPYLmGPAdL8xnb9BrP6eVVeFqc+/iqtL/VavzRMB5j93q6OAyd0b/v79H7kNX/7GO07V4tkVwg7npzyKfB7kWrmekEGhqsGkNksckC6zz4bpuAVgFqLRaM4E9Srj9htnEXPdHjCYcUAmC9TxVy56LRpPPbATR756vqcqPADc/5HbYou1hrm61MJL55rG70TFsc2SMohCOGuGrYDwoFAljweFFxkZqhpMGld4MulDOm6R852PE6cu9S3irVXpvWDE7de1plXceAcVk5C8utTqWrBcFo3pqQbOvnUFz595u8eiNfvNdzD7rXe659Kl6KgtOF4AfckOOsFbpYWvTKr6AjjsVEnwMrieFEqZwe1VDSa1PYiTPqRdiiP6zkdWC0bcfn2253r+qpBU4ToGVyEZrQqv47U3Lve5EVtrsk9Au7AqpdbAKQGnGl0ule1HAdP5HbYXiKpRJcFL4UUKI+uK4b5Utfqy7UGc9CHtsshNTzXw8N5GT3879R3dOclqwYg7D7Z2Mc8d2uN9/uKuuyJEmc+1f2DHVmcPbtyi4buo2CrwNybrxlgwl/1UaeErk6q+AA47VRK8dDWSwqiCqbeKMT9xVbiTVOh2WeTm5pva2B2TCyjLauG282DbT5LzFydCs3R/mdy7rte+OifhMyIA1IMxLLXW+vYXt2jYGphHUYkNx16+2FdyQs2/KeHBZfGqqqu/aLLMJmTMnDtV6nZA4UUKg2+8elwexL4PV5dFzhZLpRMFWSwYLguFy358FhzbdZfly4Athsn12teNRwJYN16DhPBeNHSLTTAmsAZgNZydWhM9wtY2v0kXryotfGWTxQsgY+b8qFL5DAovUhh84zUT1x7F9+HgssglcVOlWTDiForoYn9gx1a89sblrkAKf89nwbFdd1m+DNhEnOu1b9rve8stPHtoj/eioVtsDuzYitlvvoOekcr+38W1e/LNWKzSwjcMlqIqeBAGjap4PCi8SGEc2LG1L8NqVN9488ZlkYtzQ9kEcZKFy9fl96Uzb3e/FxZXvguOTYSmcZ1FsYm4Zw/tcbL2mM7JpnqQeNGI/m7/zGltKyHXBTtNxqLvMeQhkIbFUkQPwuBC4UUKwRS78vDearyBDCNxi5ypIjnQdj1du7GCu4+e1BZ0TbJw+br8oihx5bvgxIlQH/eXTQjYrFqu1p4jB7f3FakFgGs3V5z6U7rgOn8+ose1ybqPiMpLIA2LpYgehMGFwosUgil25bU3LpczoIQMgovCdYxhMdBcXO7Wado8EeD96yvdAOvm4jIOzy7g7FtX8PT0rsQLVxKXXxR1TL4LThLXWZQ4IRDn3nWx9kxPNXD8lYt9FeeT1EvTMTffNBZMDc+fr+iJE3NJRFReAmnQLEWm+5kxc4MLhRcphEF72OkYBBeF7xh1YmD/zOm+hV8CeP7M29h355bE51K3UAigG8vlkn2nFp4sFxxX91ecEEgTwxReXNOUbIjbxxNfu6AVXdH58xU9SYrixomovJ4Zg2Qpcrmfi3wRHIQXz0GAwosUwiA97EwMgosiizGaFjZVKDPpuZye6q+kLgF86czbmAjGENSEtbBnuKQEUHyQtmlemovLXTdgkjgs1xZJae8Vkzt3TKCvHpqv6ImL30wiovJ6ZpgyPZdu6l3rZeIi9osa5yC8eA4KLKBKCmEYigYOgtUuizHaFrbm4nKqc6mrpA6gXaNKthsyq+Kon7l3m7FY6vRUA68f/Rh+MHM/Xj/6sUIe/LZ5SVMI2CW+LYt7xXQNrGlOiE+xSZf4zSTFK/N6ZkxP9RbwnawHgGi3ZCqjsLONKj1z2HkgO2jxIoVQpVTypGT5Bp6XyT6LMR45uB2PzS5Yv/PMQ7sSjd+2YLTWJCbWjWP+c/c5jzXNPPr+1paM4GJVNO0vbhFtZHR9TE4EfS5kRXTsPu5cl/jNJO7hPJ8ZYUvR/pnTfQVjq2LJrpKnoEoicNCh8CKFUZUaKknJKrYoT5P9kYPbceSr53tcdqo4pivTUw2r8HriaxfwzEO78PrRj3mPL66Ehc9D/Mm5Cz3uLZUE8NjsQqxYSXIO1OemubGN3bY/25wIINE86/b//vUV49+jY/cRPS4LclIRVcQzw8WFXBZpnjlZv9xVSQQOOhRehDiS1Rt47rFiUdeRfz9kNCxiIM1YbVYjwP0hPjff7IspAtAjwmxCKuk5mJ5qJKr9ZdvfkYPbcXh2QXuaTNv0XVRPnLrUV6Iibj+uosd1Qa7qi5dN+JYdw5T0mZPHyx2zKLODwosQD7JYPPI02esWWJ/imIo4gZR0rGoMtn6ALpw4dSlWT9qEVJpzkGQBsu1Pl3Rg22aSRdV2XEkXTyX+movLEMDAFkZO60LOmyTPnDxe7oYhXKQqUHgREiHvlOmsTPa6caYRFNHtPby3gS9/4x1t+YExIRJngKmF5Mm5C93t14TwKqbrU/dLR5pzkGQBitvf09O7sO/OLU7bNC2qj79wHodnF7y6FAgAG4IxHJ5d6FrfXMtfhMWK7GxLop0gISW8t1kWaVzIVSWvl7uqWi0HDQovQkLkGX+V1kIQFkaTEwHeW2phrfO35uIyjrx4HpvqQZ8lCYgXFLrjfulcE5++5w68dK7Zt9ArMRYtruqKyoRT21mVEi+da2LfnVtSubeimARiWreJ7wLksr+ooAv3pwxjWjzD5yR6zZpKKKhsPt3vbC8gpoD6zRMBrrfWCi05kMWLUlIXclVhPFa1YTkJQkLkkTI9N9/EnuOv4rHZhe7DUFkIgP5SCaZtPPG1C2h2CmxeDYkuRWtN4ubKaqIUfNNxv/bG5Z7U+5oQfb9VxVV90u/TzrOu1ICOVSm1JQKiJQVczoFibr6Jqc+/iruOnsRdR09iz/FXY4/dZX/Rc2wqa+CyeEbnUrf/D2wY76ubpn4XNxaT+Lu61Cq05IDrnLngW75ibr6J/TOncffRk9g/c7oS5ScUeZTiqPLxDhq0eBESImsTva04pkR7AXTJWnOp9QS062E9d2hPT9uZ9ePx71e2zC7gVmbd3UdPar+niqumdRW6znPY8uJi+QL6Y1ySFjuNZo0uLrfwWMjqF7XAqMr86t/PHtqTKuA/Lv5OoctUDG/HdC5NvTPDY3G1OJrGkhVZxjL5uJCrXkw063isuONlRXs/KLwICWFaUCYnAuyfOe39YIkTTGljlUxcb92yhy0ut2IXBdfMLtv3fIu0pnGFhB/0NUPvwbRj1HHi1CVjdf3nz7wNAD2u2ebiMr7U+Vz9+8iL53H8lYtYXGo51fNqLi73XXvhOmqAPnE1bi6T9M5Un5tcp+vHxxK5upOS9YuSqxgfhC4WWcZjxVmoqyxCqwhdjYSE0Jnog5rA+9dXErkz4hYA1wXJ9XubJ4JEbjyb6y782yMHt6Pf2eg3RtP+fOoThd1LOtFlGuOmemDdbpwrxXY+JYAvf+OdWEtUa01qq6Sb5k90vhf+PtC2Qj57aA/Ga/1HG4zdqt1mOi7TtX7txooxY1SN0eQ6PfbgzkI7VCSpiJ8Fo1ZM1Ha8rGjvD4UXISF0C8rGdeN9JRpcHyy2BcBnQXKJaQpqAk89sDPRoqCO24T67fRUA4/eu61P2PgurmlirExWxJoQ3W09eu+2dvB4hGs3V7SCKqv4KlfLW5hwPS/dmKNbDF97x1+5qLXArUqJw7MLmPr8qzjy4nntcUXPweaJAJDQWqwUB3Zs7f739FR/26Y05zUJZbUiK0vwlYXteEdNhGYBXY2ERAib6Ofmm6nSzE3xOJsnAjz1wE7nBUkXsxGNHVIuq6TZWa6/9Sl9ELe/JAuyueegxA9m7u/+++R33u1rkdNa1dc0M721H3v5Yt+cz37rHaO7MZqt6n1MJlOd5vtz801jCyD1nqD7u6nJ8v6Z08btKcJtgEwUWXKgrNpSabNiBy0myna8w5QNWhQUXoR00AVFv3TO7E50KdGgFnQVh5Sm757rgmZ7SMY98F0XlDLr+cTFh6ljNIkInXAzibnF5VbXAqRKbBz6q3fg977dxLWb/Va3sTGBMcBaJV7H7ZN1a/yY6ftJ8ZkD3+8UTRnXYhrBV/XAfB1xx8uK9n4ImcA0XjT79u2TZ8+eLXsYZIixZR/qqAc1qwtFt716UMPDextaK1XW6AQWoH9A/tS2TTjz/avdQqb3/sRmvPmny5llQ8UtTr5v/6a5Va7SuPOoyyTdP3PaOUtP/X7q869qxd3GdTUENX2QuQ41dlPboLTf15F0DlyzcIkZ0zwP8twOmgWvCIQQ56SU+7R/o/AixG/hBYDnDCUB4ranK5yaZwyMy5h0fObebandiTaBFHblxn3HtG3d2OKO0bRtH+EtAPxg5n7cffSkUfg8d2gPgPhyFw2PsQPtOLYvfGq38/d1hEWqzsJrmoOgJnDik7tzv1bjynEM6qIeLqCsQ11XZDiwCS+6GgmBnwulMVmPffCbtmcKlC5iIfE5xi+debund2CSuj22uClbBfRw8LhpHyb3ku0YbW5enStl6eaK1qKlXJq20hqPzS509wfoLY1RAehSn2tNSms1+jhMY2ouLmP2m+8g0GRIKjauGy9EdEXHFS3HUXW3nA4XYc+YqNGBwosQuLegAeAUu+CzvbziZqLiyNROyIQtm84lRsUWN6Wy6my1q0z7AMyCzDTvSnCcOHXJ2M8wKuaenLtgbVx95OB2Y+JFeMzPPLSrp+6WSaiqf4eL30YJL87TU+3m2mFhYiPsyto/c7pPBLTWpDU27T2PaycpLoWC83pZydNdFndcjIkaLVhOghC4t6CZrAfOAe4u2wPyedPVlUe4dnNFW67AB5+6PbbjUt81facmhHYfv/rCQrf1kq7sQ7jcQZi7fqzu1VpG9ZIMyxAB9DTynp5qYNJSF0yNWYmEaOkFE+Hit2F0i7NLlqEae3hukoj9MSEStYnxaTWTV0HhOLJsPaQjzhJbVLgBqQYUXoSgv67U5omgT6TUgxqOPbjTe3s28nrT1Ymj1qrEBzaM99RY2v+hLV7bda3bMzffxNLNFeN2whXQdXWYTPWwdAaZsOgzCZEz37/qVeTR1AQ6un1dwdAoPiLh2MsXjTXKorFxcTFe4atXol1RXwmJJGJ/VUpvMeIraLIuKOxK3kVATeNVVsi8RBf7K1YTuhrJyGFyKURdTWldD2p7pgUyuphmiWlBXlxqYf5z9/V89uTcBXz5G+/EFv90rdvjE89iSlP36cEI3BI3JpFjOjbf4o+6/oeAPYjepw2SyRUcju1ymV9dG6Ww9S1JfFh0G2ni/EyuQpdxCbi5+33Io0drX/23b77T48oNdxfIg0EsWzEqUHiRkcLnYeRaHyhpbawkosu1PIOpkKdOBDw9vavb3DnaAFoRDUy31e3xjWcxzbOPMJicCLrH5yPYJNrxTtF59OklqcZvytA8sGOrU59Pm3UlvF+X+TX9XR2T2v/jL5z3rraviremifMzfa5+e+zli0YR+tc+tCVz4eDbO9R2H+rmZvZbmhebdF7/WAahn+SoQlcjGSmydim4uFKyaqPi6rY5ceqSVnQ5WQoiPwzGBJ47tKfHHRJ3PDYrgauVT+1j84Q9hkrx/vV2K6AjB7dbM/N06OYxSSsa3bw8vLeBl841nVxtNsEY3m9ceYpnHtqFmtDPQfjz6akG1iyiyzT3qnirKWM1+l0dSvDq5mF6qoGN6802gW+//V7mLjOf8x13H5rc/FE3ueqikBds5VNdaPEiI0XWDyPXt8osqmu77stWysI2hhOnLvVltbXW9C12bMczORFYWtlI53mYnmpYK9BHx/n4C+fx6XvuSNSzJzqPSSuTR+dFlz2oO2c2K+VEMNbNxpy0CNFw1qIp2zJqdYnLAjVZNg8btq8yVoFb7lfTcdmszbb7MQ+rjc/5jrsPfZ4leYogXyseKQ4KLzJSZP0wKvKt0nVftsU0i+3HYfNc+c6zz75Xpewr/5BmXzpx6Rv35zqnJisl0BaV6nzaRGhzcRlTn38VTz2wEw3DNSA6x2CrBabElU2M2GLajr9yEddba91tSph7WJpEVJzLOIv7S3cuXSrHx51TH3d3niIobT9Jkh90NZKRIs6l4JsFZHpw5vFAdd1XEjeZz/bjsNV78n3o++7bRXSZ3HAuvTePfPV8j4vpyFfPW68R1zm1LdSu/RuBtjA78tXzOLBjqzaESKI3lizObWwqg2Eq26HGoMsINaETMnHlWNLeX2nKR8SdU93Yg5rQZknnKYKyCnEg2UOLF8mMQejXZXuLT5IFVORbpU8Da8DfTZbVsZje+F1roEXHZCtS6ovqlxltjRM9Tt21fPyVi30iqLUqcfyVi6mvD10WYlJaqxKvvXHZKHai5yaJG9y1fpgLpoQFQF9MNov7K03guSnz8tqNlR5roq5XatHPxyxCHEj2UHiRTBik1GXTwyjJwzipyEk6btd9JXng+h6LSWibxIZrDbTomGwZbjqibi3173Bmpq0PpelaNmUK2tx/rnOalehS/Ghx2dnd6MvcfNNqoZs0dEioB2NY1hSHNVnPwtmivk3U476fxq1uEoWLy62eZ57pviSETbJJJphqVYUDfquOqekxm9f2E9fcOqn1U/c7QF++wmS5+qltm3Dm+1exKiVqQuDT99yBp6d3GbcfHVeS5tNvprw+bE3Vx2uix9IW1AQ2rhu3ilElMg/PLmiv6XALJZ9zFFdDbLIe4NiDO7Xna0MwphWpWT4jXJuuZ/G8GoZnHskPW5NsxniRTBiG1OUi47UGnbiyHKbYIMAcR2eKuwGgjVV5enqXtnzDt99+r2tBWpWyW7HdNa7H95q1tQ1yjRk0xTTJzv/ZPBF0j/HEJ3dj4an7+r4b3d70VMPqbkwS42SrIRbUBI49uNMYW7RosAxm9YyYm2/i8RfOO5WLSRIHGT2XJnE+SM88Ug50NZJMGIbUZWYBuWMT2r7FJZW4sok5U1sVn/IN6r91f3Mpnrp5IsD711f6qo+bXKi+xXoBfUHT1prExLrxvo4DLpjcjaZemHExTlZRERq2ztUW1/HAhGvR4Ce+dsG5Q0ESt3r0XPoUKU5zbGT4oPAimZCVaCnzQZQ2XmuUHqImcbKpHljFhk1cZWE1TbKN6N+OHNzeV8E/qAk89UBbYNnOcfgaGItp2xNleqphrI+lG78plgpAd85N96XJahU317ZSCaaab4okzwhX8RpXzd/WccAFU+/OqPjyeeYNUlwsyRYKL5IJWQSZV+FBlDQLqOixly3yTIuoEHqr0uMvnDfGGwHoHoerRUTXC8+WyXf7ZB3XbqxohcomnaswuqHOv23XR/Qa8O0PqcbpOgfHHtyJIy+e7yt6C/RaCgH3Xphx1pq4Xoq2Y0vyjEhbNBgAxkQ74/DuoycT3yu2osSNyXqi+5AtfUYXCi+SGWlTlwf5QVTk2PMUea6CzrSImiw2cVl76vfRRT0YE1i62btoAug7/i+dedu4bdUv8XnDd6JlvXwq+MdZuEzHasLHKqTGYiq3ocSC6b5MYqG2uUQBc+/L8O99rtG0RYMBYE2iK7iT3iu2osRJA+mHIS6WJIPB9aQyDPKDqMixZ91vUuFbVFIXQJ8kpi9cKT0clD1ZDwDRLtcQHs+xly86N89WAfez33rHaA2LBn27nsu5+SaOvHiroKqL6ErS79FW9HJ6qmHsSBB3LtaP33r8b54InItrTk818IVP7TYWOPUpRhqHT9FgV5LcK0mLEttgMs/oQuFFKsMgP4iKHHteIi8LQRdXcTxMXKX0jevH+wqWLrdWvWp6AcCXzrxtrf4ePUeu5/LYyxe1br4oNSGcRJTKmlNWw2cP7em6BW1Zka6iQG3/rqMncXh2oWcer2vqa9kIC0QdpuvGtzOE67FNTzX6LJc2fO+VPKrA5yHmyGBAVyOpDIOcVZjF2F3dfHllkGYh6KIuSJP7zcVFk4W10KUeV7SAp+u5dBGAuhpSOnTu4yNfPQ9IdMWdyU3mEjsV3X70jCRxiyu3oan+nc5CqHORn33rCl574zKai8vdCv6NyDG43BeP3rPN6nIOk+ReyboKfJHFl0m1oPAilWGQH0RZZES6xm2ZApyXbva2LHFFCT5bYLoP4QXKVNDSJEhdYqY2TwQ9TZjTEm1/k8V1KACv3+msjTornUkgxYmCuKw/ILnQdX0RMFlUw43N1fmOXv8uc6iK5H75G+/0XDdpMg/zJmsxRwYDCi9SKQb5QZRm7D7B+erf0VY6V5da3oHDcZXI0y5SPiLGJSuwHtRw/0duwx+cfzcz4WWqPRZnkds8EWgrsW+eCLxrbmVRMkOhOxaX7YeFkk/WrKuF0JYZqCOJFe7p6V3Yd+eWPuueEl+T9QBCAIdnF3Di1CVrOZBBevEjgwWFFymFYXrAZXEsvm4+VRMr6u7yXaxslpCou8cF01wktfoA7RipNSlx+2Qdd/1YvcdCkhXhzEDXzLenHtjZV++rNiYgJaylC3RzZMvKi2KzQD45d6FnfpqLy9YyHoqwUPLNmnUV1z7HqGh2RPH0lHsbKlPNrailNHpcVShnQ0aDTHo1CiF+G8DPA/gTKeVf6Xy2BcAsgLsAvAngU1LKq0IIAeA3AfwcgCUAvySl/LZt++zVOFy49lMbBHTHEowJfGDDOBaXWs5CLEnftyx6S5q2ofadto+fz3mNO565+aaTiBAA/tqHtuDbb7+XyirmEoemxEBzcRljol26IEz0+E1zpOs7qcM2n67zo9A1Dwfcr8W4DgUuPTdN1d/DBDWB8THR12DbNBe2a1qHOi72XiRZUkSvxv8JwMcjnx0F8L9KKT8M4H/t/BsA/iaAD3f+91kA/zKjMZABIa9yCGWgjc1Zk30lEFyyt4Jab1pWUBNWN18WmZS278aVlYhmqOnKPCy3VnH8lYupxjImRGwcGnArS/LZQ3vw/N/9aWvWnQsu7rnpqUY3O02X4Bi9rk3X/mtvXMYzD+2y7isuky5ufqLbevbQHryp6aXpYn21lR6JltloLi7jV19Y6F4ftU76YWOyjkfv3RabBdtalX2iCzA/M3xjEtVxDXI5GzJYZOJqlFL+WyHEXZGPPwHgr3f++3cA/BsA/7jz+e/KtqntjBBiUghxm5Ty3SzGQooliZstrwdcGe5LlzG7uP/OvnWlP5g6ZhXNIpMyrhK5InwMc/PNvvgymwvp6lJLG/QfPV93/VjbwhY97FUpY8eo3JFh4rLu4nBdwOMC18PXiO3aV+7jpFYX3zixqCBU52HSELsWng/by9O1Gyt9ZTbCRUxXpeyp3bbvzi3G43Y5jii6a9pmWVPHNQz9ZslgkGeM118Iian/DOAvdP67AeCd0Pd+2PmMwmvASBoTkccDrqz4DNe4FduiODff1FZVj+t9Nz3VwNm3rnSzuGpC4OG9fgH+ruUfgPacPjl3wcklFkUt8mo/m+oBrt1c6YrN5uKydR6VpcQ0tnA23OHZBZx960o3yy1JbJGAe1FOl/6G4f/WjWVyot226MjB7X1tgIIxgQM7tmL/zOnMYqiUJerIi+cBgZ7zEIwJBDXR8yIQFfQ2AekicsNCPhwDaHL3mTD1YAR6xaRtmyobeJDL2ZDBopACqh3rltdLpxDis0KIs0KIs5cvX47/ASmcpC7DPAoHluW+dC0YahOVNhdRnGB76VyzKzpWpcRL55rOFcN1BTujVqMoz595O1HclBLCyv20uNyyFjXVoSwlccjOONU8HDm4HcGYe3VNAeDRe7c5C1jbuQ3GRE/Q+rUbK9rvvX99pTveqFNtVUrMfvOdWNevT/FaRWtN9p2H1prExnXj1mKhWbi5VTZp2F19YMdWrwK8zcVlbSHWaFcFm8s5nA2cpkiqb3FYMrrkKbz+ixDiNgDo/P8/6XzeBHBH6Hsf7HzWg5Tyi1LKfVLKfVu3bo3+mVSApC7DPKpAlxWfoWtzE43VihOVcU2TTaQRm6YYHW3D6BBpUnHSln9QFj0XCSVxy8o2PdXABza4GfdV7JOylrlgFTydwar5NhVdba1JPDa7gF99YQGrGjdd1HWnO8/Ra3HzRAAPvdnDe8utvnZQYWwvT5sn7NeQYlM96LsGXzrXxMN7Gz3HYBLN4czNuDjKOFEatsDZjtuEb7ut8O8o1kaPPF2NLwP4RQAznf//+6HPf0UI8RUA9wB4j/Fdg0kal2HW9brKjM+IHotvrJlp7HHuLpNgc3HVmETbhmAM9aCWWY2sLFmVEq+9cdlZ/IXnJ9qPUYcAtHFUcedT/beucXRrVXYFksucOnQg6qI7/1G3nS5Wy4W4+yauhES0zEaUelCDEP1zohINbNmT126seJdRUZ8ff+WicU7SvKT51OFTsHzF6JKJ8BJCfBntQPofF0L8EMBTaAuuF4QQvwzgLQCf6nz962iXkvgu2uUk/k4WYyDFU6WYiCqNxVdUHtixta82lYu7yybY4irYm8TZ4lILzx7aYw121gUqTwRjuLEq+6w1WaLKW7jiEltl+r7CdXGcnmp0XbZR8rK6RscbFShJgtWBXveoDdN1HhZl4TZA0XZAjznOV3Q/dx896fQ73bhOnLpkFF5pXtKSWNyPv6LPAvYtGksGj0xcjVLKT0spb5NSBlLKD0opf0tK+adSyp+RUn5YSvmzUsorne9KKeXfl1J+SEq5S0rJAl0DSh4uw2EYiw8qTksnuuLcXUcObte63cJuNtM+TR6o2yfrXXfLc4f2aN1Jj967rWeenzu0B5s3rvcWXWNou5LUdvZ/aItxXEpEuy6OAr09GHXlOnTbj+Lqzp2bb2LM0KV5TIjMC75Gx6tzdcV5GU1NpdeNj6W+b8JlNsIxiOFxm8Y3JgTuOnoSH3ri67gr4oKzzbPLtWETQmle0nxj3ubmm7lY3shgwMr1JBVVavGT1ViyKkvhsh1Tle1o/0Ad01MNZ6tBdJ+mQqXhxcen3Y/J2mNjk6a1Trggqalhss6y+VPbNuHffe9K97gkgJfONbHvzi0918Wv/d4FXLvZO9/R7YfPm0vSgxI9cRmXSQnGBA599A78wfl3uy62DUHvO7PpOjJhcydH50fhe1/EiVbT+MJCDehtph1OJgkTFdomjFml9cCrOn6UOIt7dLtLN/VJFmqMVWaYuo6UBYWXB7zghp+s4i5ct5M2KaCRILbN5IKScDvGtC1vFLq4KxfxvH58rDuvmycCPPXATq2Y1LltokY5tWDbKsvriKtplRbR8efePlnHgR1bcfI772r7cp596wpee+Oy99z7jjfJfZFlwstya7Wv+XWYqNA2PatNAunYgztT3fu2lxTddm1UuXwF49KygcLLEV5wo0GSINk02zEJljEhrP3+FEli20z1sGoRF47umj/y1fNAKMtO3QeuLW/ijjGuDU30WK93Kpq7LPImq9DzZ97uLtguIio6v0ljqUwENYETn9ytXbTDLLdW8SVN/be01DvWtPC50NV3i7sv4hJefOctznIYtqbFPat119j+mdOp7n3TS4OPMFeWNxNlv/xn9XwcdSi8HOEFNxpk9Zbuuh1dYD3Q72YB0jUo1m077nNtOyRNplq45U2ci063v6grKbxghouh2u5Bl6xW0zmRaGck2r4DtK1j4b6DqqBpltTELdEFpLOmufRB1LEhqPUJPtM1ExczZXsp8O3bKAQQ57VVFfltz2qTQMqrJI3r75XlzUQVXv7ZVikbCimgOgzwghsNkhSGnJtvYurzr+Kuoydx19GT2HP8VWM9rPB2dIH1OuJqc6lg+GcP7QHQjrey1QQyFZOMfu7bgiZcA8lWsDJqWQNuuZJMFqm5+ab1HnQpyms7h6ot0aShBlVjst6t7QSgJ5Ddhk9B03pQwxc+tbtnEU36fFF9EJOwuNRyFny2ObUlvOj+ZuvbGNSEU/222y2Zr0myWm2fu2L6/WQ98EoGqkKP27zmaNSgxcsR9vEaDXxdd3Pzzb6aRYvLLYyJdlB0T+uXmsC1Gytd99rSzRVna0bcouHzNmzqZaeqgCuLmU/cVvQ+MM3jMw/tMgbi2+J34qxacTE2Lr0Al1urWD/eX8csGBNYunnrvF274X7eXG1ONSG0C2/SshBKIP7et5vGYHkTNvESxqVciy1mL/w3dY7CraHCyRW62l2m8ZjOdbTMStRtd2DH1j53eRYlaWxxZT6Wqiq8/FepbM8gQ4uXI3m0uSHVw7csxYlTl7TutzUJfGDDeE8FbnQaBat0f5/ilqbU//A4XN+G1TGGK4yHq4Af+er5bu+66DUf1IS2krjqdxfdh24eTS8rtmN0sWrpqo6Hyyy48N5yq68TAUQ7mF2dtzgBEGa5FW0A1I/O0qVI0gaoHsp4DGp+j3glwE0lG8L49gU18eTcBRyeXeieI1V24guf2o03O+fSNufR68ulzIqu/Ea0an5WJWmyKnVTBWvToJbtqRq0eDmSJJaGDCY+ZSlsb5uLS61uxl3aAGwp7UVRk7wNXzeIgtaqxPFXLnZLPRx7+WJ34fvA+nHc/5HbekobAL397tQYTfNoemsWkFgyjClq1VLlJsLiMm1gc3g/alv7Z047Cy3fmKpwzFhcxXWfa2hlTXavlfccxq4sS+Hxu5TAOPmdd7Hvzi2pnomqQXxcRqotIeR7z/xcz2cuZVZMLyqvvXG5azVT8WJqm2nIotRNVaxNVSohNKhQeHnAC676FJ31Y3MFTU4ETqUJwtgW7zQZZLpt2cYVtsbdWFnr+fylc02sH++3pLgmm5heYmy1wMJWLaC3JU032xL9C6RNeEZdimoRc6njpWO8JpwbfyvBoPZ1eHbBeL2q586TcxecshhbqxKPv3Aeh2cXtNmIUdY67jzd9WMSPMAtsR12bz82u9AVParUR1zckkutNN8aaXFlVmxxYGUHsOvQuWKj9efI4EBXIxkakjaqTYOpInowJiBlfL2kaICtLSA6LoPMxxXuGhdisgyYrEDhxc7WAFiXEGByb22e6E2xP/7KxT6Bo6x0UWxumA3BGCbrQY/LBHALnNf1bW6tSm3igI5VKb2vV5eiuuHtS7hZrmwxXWsOJRxMXF1qdd3WJlwbxLsmhCji7gfTdaGsqGGKDmCPEnWXhzsAUHQNJhReZGgoI+tneqqBE5/c3RMvNVkPcOKR3U5uHqC9SKi4pKene2OvwsRlkD28t9Fd+GtCGGNwbG1XwscA+NdaUgHMOlFxeHYBT85d6BlH+Ds6kVAPanjqgd4Ue1NsnO5zW4zU1aUWFpdb2FQPuouYax0vU3cktSjG0Zise1+vaYKo1XURPetxrZhun6x3r4UkhJuER7Fdh9EuCr4vFnGxSAd2bNXORZKyGXlThWxGki10NZKhoaysH1vhxDjhsrjcHxv11AM7jbEcJleqKk0RbrcSruStiGtvA7StdaqSt2/ckkTbIvVnyyt9+/AtVjpZD7wzv6K4xEiFz4HtfKmYLFPtNeBW+yF1jjbVA1y7udJjoVPn0reptq0petw5WpMSb87cb3XF69ziSzdXsPP2P4fXv3el5/NgTOADG8adEkSi2bKA/TrUNYifnmrg7FtXutXrbS8W4d+YXjx0ZVzCbrwoZWavVyGbkWQLhRcZGqpW8sNUtiEukNgUAwX0V+RWBUZfe+OyU4HfOLETjhvZP3M6UQFO22KsMsumpxqxC8fG9ePahXOyHmhdnZP1wCgspqcauPvoSePxuFgQfjBzPwBY5+XajZVuvNazh/ZYq/GbxODtk3Xtb0zB1Q/vbeDkd961zru6B0xiRH0WTqQA2ucyKroA4KN3b8Yj+7Y5xzBGY6VM12FNCG2Gp8uLhWt8p+0eMFldy8xer9pzjaSHwosMDXlm/dgsTaaHvU5AmSwqURGiWyB1LU2UFcklQFn3b4XALWER9920qO1OTgRWsWDa/7EHd+LIi+d7a6SNCfz87tusgdFxNbFc3arWTNaOaInuWyckTI2Sm4vLePzF81iNtGV65qFdPd0Bwtfbye+8axxTtA6Z7drduH7cKYvz333vCh7Zt607Hpe5C78ImObQZImNq0bvUsfOtZ4b0BaAa1JWIns9SW1BZt9XGyEdgi/LZt++ffLs2bNlD2PgGYUbMo9jNPXL27iuhpsraz0CQBUJNe1z/8xp7YO/MVnvFr00YbPYmFwk0e367H/q86961RpzRVnVouLJZUwK3Xk2LapqO7pit2FUHFRc2QLTHLoeg2sj7rhtuWZfBpFsy3pQw09t24R/970rPb+LZnkmGU/UYhZFCXzbHOruIdu1LwBj9mb43PvMue5FpExcn2u641Ru4cWl1tA+96uIEOKclHKf7m+0eI0IVejzVQR5lPwwuSZ0FcHjSiqkscrZLDYqqDtuu7r9Ryvqqwez7zuZS4XxcHVxm+hSY7W5DqNzbKrdpOZseqphFQarUuIz927Tlmz49D139IzLdREPW3Z8LC4u23IdQ1RoLrdWte5DW4xT3HiA3ntvz/FXtfOsWmnZ5tCnmTwAa/amrW6Xjaq58Vyfa9r+qmuy+wI1rM/9QYNZjSViS7fPGmbGJCerBtlAusrPporcivXjY9g8EVi3G92/rqK+KmngmpUJtC0Erx/9GH5+9219Y1T/Do8pbk5VJp1PuQVbKYe7Oz00baKwMVnH09O7sP9DW3o+3/+hLXh6elf332oOw9mnpl2r3o++FfR1hMVAmubZNlal1JZH0TEmRN+5UM800zyreVJzaCJ6fSSp4A/E1+0CzJmeRZD1GuDyrOJzv3xo8SqJoi1QzIxJjm+/vLi35aRWOZXZZYrpWlxuoR7UukHdLvvfP3O6z52oHsy+vRpN2WJ/7UNb8Mi+bd1CoSdOXYqN7/r53bfFxvVEsVlqJBAbu3T12g3cdfRk30L87bff03YNeP/GrRgt067fv77SU/wyKVEx4HLf+mQeKlz7IgK3GosD0MZZ6VgMjSUuwSBMNF7SxSYXrdtlckOHs1CLdMXlsQa43rN87pcLY7xKIk2szyDsrwpkFe/l49aJi/FKgq6Z72tvXDY+YE1xReFWO6rytWkbAsCzh/Zo40Ug0Bcz9PDeRjfVX0e0YTgA1MZEN4A8ymaLMDPF3/jEXvkSnVOf+LdGp0Cp75N247oalm6uaq/duGNVggLQl4nQoc754dkF77E2JttN3+PmZLIeYOP68djG1HH3kOn4TUHxuns4j3vVhzyeya7PqmF+7lcFxnhVkKItUFXp85UFLoIqydukLZ7o7FtXtLE/tTGBP7d+HO8t5xO4qjuOl8418cxDu4wLZPQaim5DiaPm4rKxBlS0N6KqSSU6DaPD4k0tnjaLky6eyyS6AHtJCpNF0Sf2ypfm4nKP1cvHitRcXLaKXB21MYFf/1tmUXDXj5m3p1tUTfFvinDtrCRxaK7fX1xu9WR+zn7rHYyH2gC4tBkCzKVaPn3PHT1uYYWpREuZcU55rAG6e9ZUR46UB4VXSRRdm6WKD54kuAoqXzdV3HZN7Vr+3PpxLDx1X/oDM2A7DtdryObmkuivLVYPajiwYyv2z5zuXiuP3rutxzIRbluSV7yRjrhq5cCtaxzwK/4aR1I3UE0Ib1G4uiaN1+qTcxe0wfGK5uJyX6KETUxFe/7lKWCjtFZljygwNW6PonO7S0BbNDj8m7hzV2Tmd15rQPQ4RyGbfdCg8CqJMixQeWT8FY2roPJ9m4zbrul3PgHoSbA1831O4wrUXUNxb9ASvUVJBSRmv/VOTxNqnbVPzU+R8SJxrqHwNZ51OYzw9WAq4qpjVUrti8+BHVuthU918zo338TzDo2yw8kIgPl5Y0rAMFl4ffHtfODaaB1o966MK0bsQ9Fxt1mtAXHCahie+8MGsxpLIk12W5XJO1PTVVDZes8l2a7v9rLCtH3lnIlmKK4fH8Ph2YWeuY8b4+aJADdWblkallprxlpXUdTDPktsvQEff+E87nK8thYdRZcQndg1B9T1cOzBnc6/UY2cp6fajcFVX859d26xWnh083ri1KXEQuaZh3b1zO2GYAxn37qivV9tDbltRy0EehqPJ7E4pi1km/RFoOjM7yzWAN9G66Qa0OJVIsP2JlLEG6PNPB9+89tUD7SFI01vk3Fm/7Ji5FRPv+gCplrvvH70Y7GVu22uo3pQg5RI7lYS9lixW/sZw/XWmtNCrISQNi4sFJ+m2iXpYnoAj2xUCZz41G4cf+VirIUs3HoHaAvBuLpXSzdXtFmRNhdt+NpyLZRqIixEwgL76lKrx6oVvmZs4sU2Binb+1CZtUkSHmxlQYBb82EaR9IXgTIyv9OuAb4hFaQa0OJFMqOIN0ZdPR8VkxR+81tcbgESsXWtgPaD/NqN/vYt4cVveqqBh/c2uouCS5PeLJieaji1AzLN/eMvnAdwyzIG3FrY1JykcZcqzWGtnD4m8MxDH8Gzh/bELqpAJ3BdAEHM00m1SzLVklKCMI4xIXB4dgF/tqxv4aMIF5rdP3MaAPCFT+2OrS91danVY4UIj8+EulajFo0kKCHiEosXjh9MSvieT1J/yyZk4+qhpXkZytKqXVSNRpYJGkxo8SKZUcRDwJQkYKrYPLFuHPOfMwe/m9Kvo9lVLk1688KUERdeEGy971SfP1P6eJpq6lFUUVFlOZqsBzj2YG+WmkvgtqurU6KdsXfi1CVt+YRw8sDmiQDvX1/ps6SFz6ntuN6/vtLXizHaP3FTPcCfXW8haqwLixGX439sdgGPv3AeG4KxVEHuAujOi+t9+KPFZW0pER/UvsL3q0+bJRM28RhNElC4BpdnGXMVtT4/NruAYy9f7LsX0sIG2oMJLV4kM4qKg4rGytiC3+MWG9ODfGLduHOWZN6YrAbXbqw4xXHFjVO3/aQPhsWlFuY/dx/enLkfb87cj4Wn7usL9I3GtWSBEkLHX7mobSTemKxj/nP34cQju7v7drG+ofM9KftLYoRdOq8f/RiePbQHN1bW+kSX4keLy9rxmViVUtuWypVwiQjA/T4c68xL+DzZ4u50bAp9X82P67k+sGOr8W+2Ju/qWRDGJwYqq7hb0zNlcbmVefyV7t4VsM8hKR8KL5IZJjdgETVjkoo+V8FWpklf16IG6H2Qxz1ofdsY/cahPXju0J7uZ/U4v18Hl8U9Kpx9F3UTy63V2AzB8L7XHItHr0ppzGCMc/eGiavWnyWNyTqePbSnJ/7N1e0XrkgfFpQ+6DTtkYPbndoR2QL7TddXtH2RcvU9Nrvg9cKke6nzxXavZf2ypkIgwrOqymowwL660NVIMqPMWmFJ3QSupvqyTfqqFpOpvU8cSdsYqTijIy+ej92HKSDcdh3MzTdx7aY9tioLxoTAXUdP9hR+zUIIubh7gVtJDHljq8auPgs3Ct+4roal1mrf2MLWvCR12owZpQ5zYJtHU6JIWCwC8e5c2z7S1r2KS+rI+mUt67IaJH8ovEimlJWpGSf6TA9TV8GWdVZj3MNd9/ekVre0rodjL1/UZhiGCcfX+GS3njh1SRvPtXFdDWtpsi0jROO4movLCMZEX+arD8GY6Dn/tgX34b0Np/pbSTC1yTERtl7ZXJk/6lTrt4kIW+eDKCdOXYq9jky/DWOq4hF+CYm7bkz7yCIzO64AbdYvawywHzwovMjQYBJ9Lg/TaGFL1dA5upjl0fsxOh7T3zcZinaqeBqTOyxc0TvJMcQVCg03Gj48u4CxjlUpzHJrFcdfudi3b9Oifu3mKp47tKfHOpM1rTWJyXqA/3p9JbYkhOn3aqE3iXjFS+eaxvOXBt9+gz7Wq8mJoMeKFMWUrBDUhPaFxEUIhJMBoszNN3Hkq+etQtllH7YXpiTlGXQvSc88tEtbniSP0IuyrfHEHzbJJkOPazPaufmm8WGZZXHbuPGY/m5b6IIxgaWYdiubJwJcb615Nwq+6+jJuEMy1t2yUQ9quLGyqg1GrwmB7z3zcwB6G3yb8K2QniXhOZybbxpre22eCPD+jZXEFrYwAkgk/u8+etJpnupBDevHx4xCUQCdjMv+a26yHmjbaLnW9DJlJ7r8XgXwu7ZHimKaH1Nj9rjm20W066liA3Bib5LN4HpSCEXVtdFhegiH347Vw0sX85N1QGyca8D098WlFj6wod9I3VqVsaILaJd4SJKZGQ3q1+ErutS+TT8LCxcV8GwLy3720B5tYofL2N1yG80st1bxWKdbAABj0P7VpZazOowLgh8TAs3FZa9K/oDZCjJZD/qy+Wz13SSgFV2AuY2Wa3C/KfMwzpqlrEmmJJ/nDu2JDZj3TdKJy3bOIlg/jmHtgjLM0NVIcqfoHmjRfbvEocS5YJqLy9g/czqTN9Y414Dt73nEbahjM8XGlWEUF519h8ehc2EC7YXG5Ap26TmY1eE1F5dx5MXzEALaOasJs1UwqAlsXDeO95Zb3bHbquLrYtZc7ilTrKKuvlTS+m6bDFmq0ZpeNiulzr1ni6GrCdEnNlwtTWGr1ORE0Ge9tbkHqxJfNWxdUIYduhpJ7ri4+vIyyce5J5TrQdeWR4erCd92PC7uCdPfTYvh5pgMPZvrKLoAqn2dfesKnj/zdmphUhMC68aF1kJiayWkrg9TkdvwWE3nw6dljU4IqPFtqgcQAomzIOtBzSrsn+u02Anz5NwF70bVUfe5jqjQkBI9gs92nboQ1AROfHK38z1iOj9R955pPoIxgROPxO/PNIboMepEsO/15XIeyHBjczVSeJHciYubyDNGwSU+qR7UsCEYc15U4x6qpgUrXMU9SVZjnCgz9RqsCYEvfGo3gP40e5PVYbIe4L3lVmbWIJMwjBOMpqr90d+Hy0Qc2LEVr71x2au3ofpdVGhGr8OkYuQz927Da29c9l6kn5y7gC9/4x3n4H9TLJIO27UE3LJM1QyWRhu6+EnT9e76Yqab94lgDP/soY8kfk6kFU5lxFcVETdG0mMTXnQ1DhiDeNPFudbybPTqsmgst1axfnws1iqhSFoNXxU8BeJdA7a6WmofumtAtzitSYnHZhfQmKzj4b2NriixuW58s++CmsDKqjQKbJO4WgyJJh1x1iq13bDLzddKpHp9fvkb72jrIUWzMdUc+rjhXjrXxMN7G3jpXNOrJMnT07vw9PQu3P3ESSeXr08mm+m+O/byRdxYuZWEsSqld9kNXfykKdTApVSL6Z7avHF9qmdEWldh0bULywzbINlB4VVxwkJrUz3AtZu3sqIG5aaLe7DmGSfh+qb+3nILzx7a0/MAvXZjRStAklbDB24tbGke1HGiLGr5UjPQXFzGS+eaPW/jPq44EzXRdi0B0LpsJcwCOK7YZN4ItM+JTaxdXWp15zM8h4Bb30V09vHaG5d7+jrGFZYNf8/lMvYtVWBM4tBc861V2S62enO15/wmjZ9U90H4Wg5b2KIB6nk9I7IoxVBkfFWeL6mkOCi8Kkz07Ub3QByEmy7urTDPOjRxrqrwvqIPUJMbIWk1fMXicquv2TKAvn0nEWemCveK6PVyYMdWbwtRmKhb5bHZBe33VqXssygqS1MWcWRJSbJfNYfKFWVy8Ub50eKytdZcOO4qXDbE5foVaBdp1fUq9L3vTCzdXO17OTmwY2usFc8m8FQChc5iG743TGOVQKqklySFkcv0OpQRzD+IXpaqQ+GF6l5YrsUOB6FCse2tMOuq8HHbjmLaV1I3gss+w0TFkM6dcHh2oesujBtD3PUQ/rutL56O/R/agjf/dNk4H7aYrQ3BGNaPj/UELZ84dak00ZWG8BxedyjlAfS+SNgs2UkC+CX6z6XpOjr71hU8Pb1Le53a6rHpXk4AYN+dW6z3iE3gha97mzXHdk+lsfz73uNlu/qKLpZa9vEOKyMvvKp8YbkKqrRvfWWTZ5yEqTJ9OM7Jtq/o78Puj7h9ulpCgPhmy2F3Ydz1GWfJCF8vPqK9Hozh+b/708a/z8038f51c9/Fq0st1IMang1l8B02WMja+3OLuSsDW3yijnBFdhdLdhKicVW6chQSwPNn3sa+O7f0Xdub6gH+7Lp5LHf9mH5xj3O1HTm43WgJDY/ZZs2JuiOjpLH8+7gKy3b15fmSqqPs4x1WRl54VfnC8nEFJBWMVbH25RknkWbbSa1Pap/R+V26uaIVY67NloH469PF4tZcXMZjswsYM9Sc0rEhpvilSy++cOyOzdoVbkNkEsxlxoap3peubXAevXeb1bKTBeoaenLugtV9K4G+hIFH792Gl841jQVtAeDM9692/zva5SGcsRtleqphfAkJX/dx1hx1T5mypIuw/Lu4+vJ8phYdzF+VOmXDxsgLrypfWCZXwAc2jFsrrLvehFW29lWFOOtTnAgLi765+SaOvXyxbx/RN1YXUWG7PnXByqYkA5+C84sx1jvflwST+FDzESeYs0gMSMrzZ97Gl868HVv1XidI8ni2qDmbm286xcxFEwZcfqOuIV3PxMXlFo68eB5n37qitSY/9cDOWEuNqzUnibstKzEUt+8inqlFBvOzD2Q+jHzLIN8WEUUyPdXfCuLEI7sx/7n7jA98n4d6XLsLEj+fURegqW2LeiBH3UpC3Jpz9VuX1ioS6GkVE23JBACvH/0Y3py5H9975udSt8UB+u+JJ+cu4ENPfB13HT2JDz3xda9t2Sw+68fdHktHDm5PfVyToSrrmycCpxZDwK3zHidWbqz0x3+5PFuCmsBkPeje9/s/tMX43XCLmKQxcy6/EaItdh+bXdCWlmitSTx/5m00F9v108L3hO5ZFq115fIdQH9/BGMCSzdXtC3J1L2nG5cvpnZEShwO2zM17nhJMkbe4lW0z9wX09tNFm8iVbb2FY3pjdjHpbXcWsXjL5zH4dmFvrdqk3tJGaJ0b8YurVVUmxoIWMuMTMYUKo0jek9Eq4j7Fti0Ea13ZmJ6qqGtrh/UBCDj+0fWhOhr5jw338SvvrDgZQm0EXWtqqzFMQCmkHyd9XTP8Ve1352sBz2FPvO8d6WMt2rq6qBFj99mcXKx5uhi066FXPjR6z/LcJI4V5/rM7UqIR5xFO3aHBVGXngN6oWVhWCkGbmNzT3gm6Fo6p3nsiCGF4Ooi9LWt08nMMLbigt6tyEA7T3x5W+8k2h7rqjCpXH34dPTu7RZdcCte9qkoXTzaYtHSkrUtWrbdlRIKUwB+OHPbf0sFUmq0Kclevw291sSQfJfr6/0HVP4+s/6BdMmDl2eqXPzTRx58XxPuZAjL57vbrtqFOnaHBVGXngBg3lhZSEYq27tKwrbG7FaBF2sT1HCD39Xy5luMZiealiz/0yo/cUFvZuOydY2Je3i7TKPV5du1XmyYbp/1WemWLCN62r40BNfx6qUqAmBT99zB56e3hUby+aLKgjqwuJyC0/OXeiLk7Kxf+Z0t56W7ryo4P6np3fhbocWWoox4RcDaEJ3/DqLk2t8VPR7pmtR3UuuYiiLl2+XZ+qxly/23Y+tNdktKEuGH/ZqHHEGxeSdJ3G9JMOEG/u6iAdbP0odJrGTJJC8JgS+98zPGY9P7U9XBDPcKFjXSNlmgYsSbTcT1AQO/dU7nNruZNFsWDf3tTGBVY2qWD8+hpsr+qbdZVEPalhdW8NNS8se07UoBPDoPdu6Qi7OIpY1tlZD0fvLtW+i671ga7Ie15ReJTEtLtkbZeuen4D9hdjWP/ZNxz6bpPqwVyMxMojWvqzxcblGXYCmukLRbUQtlNHq5IDd2ujr8gRuWQJMxxde0MLuOjU25cYKu8aUFeLen9iM1793JXYMYwJYjS68sr2/p6d3xS6izcVl3H30ZKqXAp112ORm0gXDp8W1e4KJ5dYqREwWgbF0hARmv/lO9zrzEV2ZuCVl232qc5VG6w+6ugRd5jJ8L8V5B3QW79aaNMaMKUwWumce2pX6ZYEMNxReAwCtUvmSl8s1XDQT6Be5PufVVCKiYakN1uiIPtPxHdixFftnTvftf//MaWsc0nJrFW/+6TImgjEsxVRt17mqWmvtpt1xolURzkQDksXBROfeZnWIw7ewaxLRHCWN/olLMtAh0BZpUUuaj6td7VsI85y5tAWKvgDZBKEpJjEqvlz6QIbRuUaTBu2buju4ZtSSwYfCq+Kw1lb+JImXi3MdRotmmvbrcw5N34/rKak7vqh7MXxduSxEWdTPShMzp8NHyCa15ijX7L/+xttO8U81IbpjMFVvryLhchnqHIWL2vqc/8WlWw3obVXnXV+AbOctGhoA9Bd7BdwEX5TofZE0aP+pB3b21UELagJPPbAzdgx5w5f8YqDwqjhVrqw/TPiKIFv1cZd+ii7YHoLRvz28t2FtgxQ9vv0zp7XX1eMvnC80vsl3Xz9aXDbG1dj6EkZ/4+oqVaiYILUfVyPSp++5A0A+2ZJFoUSXipfyFd3hHo+2qvOuL0Am1+3miaDPggvA+ILk0gcyehzRfyfJCq9qJj1f8ouDwfUVxyfwexQp6w0t7/NiCwgG+heTcLCwC7aA+yqzeSLA9dZa37FvCMa0okZZHqPJA777fOqBnV03rKvwqAdjuN5a6xEBUUuHK0ktdK41zeIQAJ49tMfbZRq9Ll0D6G1og+E1x2m7LhTh5BdT03LF5okA93/ktu4LjilO0+c+rBJZnBtyCwbXDzBZ1trKW6QUJYJMmYVFvqHlXQMtrgK27m/HXr7oPP8+BVU3h7IayxRr9aAGKfXHbhIDEu2aY0lES00IfOFTu3vm0MUNG4wJQADLnfi3cND1iU/u9nbVAf5B8WtSetU0i+P2ybp3j8mw5deWDewbT6mLd9SJWdt1oYj2gVSo9l7hpICrS62eosFXl1rdDgPhjN9BFF0AC2oXSWktg4QQHxdCXBJCfFcIcbSscVSdrFo2ZNk2o4zt6/YD2Ctlu2wr3GbHZ6ymtj7Xbqxkcsy2h6Dpb4vLLaf5n5tvGgty6rj/I7dh4an78IOZ+3ta7BTB5omgp33Mex7jViQRXfWg1ie6gHhhPVkP8IEN431CIBwe8PrRj3UTH0yMpeiFtCYlfjBzP14/+rGuoHj96Mfwg5n7Y/erQz1vfBbgzRNBd/+6e1YdnqktUBzTU43uPZg089L2HJ2eamDj+ni7RGtVYuP68Z75HlSq3D5v2ChFeAkhagD+BYC/CeAnAXxaCPGTZYyl6kxPufUviyPvHmJF9Shzeet2WSB0QvHw7AKenLvgNA51XqKZSIvLLa/tmLA9BF0fhLr5V8fts1Z96czbeHKuLeKu3UxWAT8pE+t6F7VNBuFXD7J7lNnuMZPgnqwHeO7QHiw8dZ+xAGv4urT14wzGBP78huQC13Z9uPQBBfoFryoC7Ep4DkyN5pULK6lYcXkWTNaDthtS83ncc9RVaA6LRYh9GYujLFfjRwF8V0r5fQAQQnwFwCcA/MeSxlNpsqi1lbcZuSgztcv2XBYI02Lw/Jm3se/OLU7zPT3V7gMXddn5bkdHXIaXa6xNdL583UWKL3/jHbz2xuVE8UlpiI7fVM9KVww1CcGYiC3rcfatK133ZbjivcLkhh4Toqcq/aZ6AAHZX5JDmFsEuY7f5PaPjt/ExLpxzH+ut4+l7po0ZaWG78G8ng1xv68HNfz87tsw+83e9lbBmMCxB3fG3puu2Y7DYhGqatD/MFKWq7EBIHw3/LDzGcmJvM3IRZmp47YX94am3IumB6oEvKx0poe/73ai2Cydur+ZagBF5yvpYrcqZSlv9tHxm6xJtqruPrTWpPW8zc03e1rzrEqJl841e1y6JqvSqpT40pm3u1bWxeVWNw6sZwxpjkUAZ9+6YnT7R8dvwtS6KnrdPXrvtlgrSV7PhrjfbwjG8Afn39W253G5N12sg8NmEQq7pQfddVplKhtcL4T4LIDPAsC2bdtKHs3gk3dfxrTbdw3Mt711x5VxcG3b4yMwbG/FzcVlbYFSV2yWTl0wsMv8u77FR6kJgb+4aUMm9btcyXL8Puiq5du6FETLu6j/79JWKWv7YWtV4vlvvN3nSrYlZphQRWbDWZ26a1LXpDz8nbyePXFlIGzJIy73uKn+na1sCyEulFJOQgjx0wCOSSkPdv79BABIKZ/Rfb+IchKjUDiuqlmNOtEQbuyb1X58e7y5MDffxOHZBWNpiWjVb9MxhbdnOzaf2l66eXEVn1E+c+827Ltzi/FY09KYrOOuH6vjzPevGl14QPLxJ6Ue1PDw3kZsOQpdGZE0JTtM5SN8K8dHf4uEvw9qAic+2Z9s4Epez57wdn36ULJEAskbWzmJsoTXOID/BOBnADQBfAvA35ZSXtR9P2/hFddEdRQoWni6PDBV7aCsxuGyEEab57rMyZNzF/D8mbedWqvYjmluvokjL57vcY0EYwInHtndkx3mKlCj2w7XKRKi7bZzufv3f2gLnv+7P2081jRM1gMsPHWf1z0YPS/XbqwkjolywaWGlm4hdxX6uvIKOrGnPv+D8+8mOl6V0ZjUYhg9xqq9rLoK3VF7tpNysAmvUmK8pJQrAH4FwCkAfwzgBZPoKoKiMvKqSlGlIEz7My1qaeOkophiQmpC9MVR+czJ09O78OyhPT2xL8amxTAf07GXL2rjUY693L41bAkBtnMVPZbF5Raut9a6Y47jzT+9tVBHj9WUNeZCPajh2IPtNik+92A0DuXYgzudMvWSEie6TG4z1xihR+/d1hfL9/T0rr6s2fXjY9h35xYsPHUfnju0x7u0x5GD252zGnWE3XM+90easi0+mO7vzRNBz/W6IRjD4dmFXMdCiI3SYryklF8H8PWy9h9m1AvHFd2WyCezLstzcOTgdm2PNJ0LxXdOdC15TJYFWx0u2+dxgfymc2U6FiXo4ojuVxdfdviFBa8SFdF4vDT3oNpGtOBlVtgsXra4QtcYIQB47Y3L2u1fDwXfLy63egoEqxcElx6QmyeCnjEmmauwsHG9P1zb0GRhPTPFkqn4NLbEIVWhssH1RZJ3FfKqU7Tw9A1ez5To+mkQC2nn5MjB7cZ4qKTHZAsst43LV+hFmdT0wIv2gQTQ5yY1oXPLJbkHo4t1Hpjcfq6xVqYECTX2x2YX+rovHJ5dwItn3+7Gu4XRBfLHCS8lPsJjOnHqkpfwqnXKVChc7w8XgZaVIIorh2Aay+MvnMfh2YVKuEvJaEDhhfwz/qpO0cLTNTMt7TnQxQKZUst1FcrTzImqlxSNh7Id02ZDGx/lbvIVc+r408RjBTWB96+vdMcVbT6tiC56trg9k1vO5x7ULdZZM1kPuvWeVOaeb5sql4beuncBWwPv6LEmscjZhPq6mugrzxGNSXG9P1wEWpYWd1smsGksau5oASNFUVrLoCqRVXX4QaXoisWm/X1GE+uSJosqGoNiesPXPZCzmBNd7JcpWHz/zGmt6ApqomutmJ5q4NF7tyEaUaUbV7RNSxIak3VsXDfeJ1ZNcWXh2Ks1S9yeyS0Xdw+GY4Uef+F8bpmNjcl6twp92LKkWv3o2lTp3LamOKjjr1xMNfZapIrsvT+xWfu9z9y7zViLyfYCoWuVE6195Xp/uNTwKsri7vLSNEqxvaQ8aPHqkEV1+EGl6IrFRezPJ45M90DOaoxx15UpU9FUl+zp6V2xdZPUuOPKH9gsYcodeHenllOUuLgyUxNuWzC/ba6i85S0P58NW7abrY4X0HbbPjl3occKaLLkpBWM4WOfm2/i22+/1/ed/R/aYs10NdXDe/TebXg+1Ag6TFgIud4fLpbMoizucXW/FEXWqiOjCYUXAVC88Mx7f65vy3GNcl3HmDQ4OK6Pne+44gRCeB821PwliSubm2/i/ev9PR1rYwLXbqz0FSd1IWmrIx/CoitafuPazZXYivLRNlF5xUgKgW7rIdO5CWei6rAJJ9N2o0LI5f5wEWhFhXr4uMPn5psj+yJO8ofCi1SeJKLGJBg2TwSYWDeeqaUtTXBwlm6WLIuLqkU2SZLAiVOXtEH2q2uy6+4Nz5H6je2c5G2FaEzWjcHerkHoUSug6RqcrAe4sbKW+DxJ2W5cbkN3/Tw5d6Gvx6RO3KcVQq77URRpcQ+LRVPx4zhrritVq3NGqgOFF6k0SUVNXGp5lqQJDs7SzZKVVSgIZbCZkgQA4NqNFa1lwFU0qtiosAgxnV+XIqZJiYqKNPOo2kSpmlm6azBcu8xUZiKt0IxeP0/OXegRa6pv5A8uv98tjqtwEUImUWHaDwCr6zMu+zMP8WLLCE1rrWTpCmKDwfWk0iQtbltkwkQaq5WpoGVzcRl3HT2JPcdfdS7ymIVra7IedCvlK1SSwMZ1veNUdaWi45s0NOzW0W4U3X9+j7/SG6yel+iqCdF3XaSdx/Aiq65Bta/wtRsuAvv09K6ef7sUtjWhs059+RvvaL/7+veueBcRtRVPNe3H9LltH1OffxWPzS7kUthZJWqYSBtfNupFuYkdWrxIbmTxtpq2sGYRb5dprFZh64JuG4vLLRx58XzPd3XMzTe9etUlYelmvxVIZ9nLYghXl1o9TZpNpTbSMAbgC5/qL56bhcVJzYtysYUL9zYXl3Hkq73nNHqvHNixFbPffMepLloYU/kI23XhW/TUJipM+7HtP+qavPcnNuPbb7+ntToqUR53X8f1NLW55LOILxv1otzEDoUXyYWsTO15ZTyZHsxJxGLamBglEE3V7ltrEsdfuRi7kGQhuqLV0RW2emDRxeQ9j8KcG9fVcE0j6MJcXWr1ldDIgjXD567Zb3GoeTn+ysW+wPzWquwKCN298tK5Jg599A7nvoxxGZku41SYhJW6Bm3JFiaXcLQEhkLnmrTVMAPa14Mt+N307Dn71hVrQgJg70Tgg+tzi3FgowmFF8mFrIoiJimsGfcgsz2YwxXKXcVimpiYMLa34atLrZ4ipnEWiDToqnnbxrap0zMwScHWoDYGIH7sLtvUJU4cf+Wi1VKmux7Vvx9/4XwqMasWWdP+ry61cPfRk1pL5XJrFa+9cbnbQDza6iqMzl2qiAob2zgVpnMdvgZN27nrx+pa4fTpe+7Q/sZUuiKOJC2y4uZBANYkAB9M7cnCz61RiAOjsNRD4UVyIStTu0/Gk+uDzPRgVu6O6OcuYtGnBpVpXD4urvC48nBfRKt5b6oHRsvLtZsreHLuQl9bHRd8rGNx3Git9iVPnH3rinXBNc232kZSy5erxdPWJF6d1xOnLhlFl83S5SK6dOO0nWvbdg7s2IqXzvVb10w1xebmm4m7KiRpkRVH0e3Jiu6RWzSjICyTQuFFciFLF6FrrJbrgyyudUiUtMLG5rqJ1jOyWTZM4zLNtXKb6LLnoq1vbCy3VrEhGEM9qGlFSGtVakVrmDEB6MKVhADq42NYapkcf+4stdZ6Huxz802tEAgTdYHNzTd7rGQTwRgmHYWIqfCt6++jqHvFdv09vNecDRhnTaoJgYf3tn8b7sXZWvU7F+HrTHd9mGqKpQk0tz1HksboZVk3TFdSJdqebNjjwHyE5ahZxii8SC6U0f/S9MAKp/hPTzW8H8xp34RtrptorMrGdeM9i/Rkx42nW7jDtbZMcx1nifu137sQG2Olxrp5IjBaf0yiSwD4wcz9RnfZmgRurEqjMAszBnNclsIlFsk0bt0Yl1praK1KfObebU4uO52r6tiDO2MbWUcJ3yu26/Wlc82eoq0KF5fvqpSY/dY7PUH8voIlXOj3sGdpBtu+PvzfbMT3Ly9prys1N6bF+sCOrbHnKsrmiSDThd5FVBXdI7doXIXlKFrGWE4iAeGecftnTmeS3jxsTE818PDeRteioN6uXW6kpPNre2CFU9FNJRx0hJs6qxT3u46e9Cr1YBuXeutXD5+wwBIAfn73bTj24E5rX7w0pTNck+YEzLFKgDl4Wh379FQDG9fp3/NW1yQ21YPu+McMkfSbOtmNcVxdajkLiMZkvXu9PTa7oLU2ttakUzkE00IzPdVwGndNCO35s12vKh4veh26Wk1aq9I7c1IRvgZVVq0OUwN3U8LE+vEx/PDq9R7Rpb6r5gaAsaTFa29c9j4O1Q81K1x6VBbdI7doXOYAGM3SGxRenthq2JBbKDePeniuSomXzjVj5ynN/MYJqrCZ+5mHdnWtSTZUU2dlDQmLD1XqwTQ2taDbREBzcbn75q5rHaTcRXHCanqq0VMHKqlrFkDfghjnkqwHNXz6njtiFxFbPNfiUqs7fpPH8upSC9czcEmGx3dgx1anZuIuQfabLNfTUw/0i2fdPqIZtvtnTuPw7ALWj5sf1atS9t0jeVtNBG61WLJl1UavgbDINc3omID2XpisB91r27ZY+7jqNk8EudT3cxFVRdYaLANXYTnsLlcddDV6MuwBkVmRdJ7SzG9cTSzg1s2sHt5xsTeqkKUpwDkat6Hwad9j+55qXxInpsJul8mJAFK2hY6u9IT6nmnhU3FKLlXUo/FM4XpMUQunbVu3dyxPNheZKkCaBSoT0DUj1KVyvsHgA+DWtRmXZWnKsF1cblkFcPQeyaokhgn1QgLYK/2HrZeu98SyQVwvLt9yzdsWa1urpo3rs20XZsI1KaioWoNl4DoHw+5y1UHh5ckoqvMkJJ2ntPMbVxMrfDO7bHPpZrstjm8WlU+Jh+XWqnVhjxtndEELL+zRnoguC1+0QbdpLsPfM1k4w/FHRw5ux5EXz/e5toKawIEdW62JBabA/iSEMwFNcUk94xsTOPTRO2KzNtW8m2KPlNiPKwRrKn0gYbc+/ihkPVXNvccErDF8QU0AEt7uxrBr2XZ9Xru5isdmF3Ds5YsQGkuWLyohxbZY666zYEzg2IPZtwuzMcyiyhWXOSgjHrhs6Gr0xNVvPeoknaes5tfFzO2yzatL7YKitjY4uu34CvFVKY0xL3HjjBN5yhriIgZ1DzyXuXSJ05ieauDEI7t7XLybJwKc+ORunPzOu0bRpVwwadroKIRAjzsnbm5VC6Wnp3fFjqEmRKyrPO0LmoQ5Bm5iXa1n34vLLaxJ4DP3buu6sybr7Tg55do68cndOPHIbu+5Db8kuNxHi8v2GmCuqG3EXpM6fzmpJMPuctVBi5cno6jOk5B0nnS/C2oC126s4O6jJ51dBC5mbld3zHJr1fidcEPpMKY3cpPFYrIe4Od339Zn6TBtP4zLYu664G8I+t/FXObS1VJpegO2Zf2F95XafSYRew2YamOpf5vGuiqltuhq2A2Yth1RY7KOazdWtC7ypZurfdeWKsQaVxjUZiU2jUORt1tTRzSsINwHc+nmirZTAMNBqsuoWQcpvDzxKeg5yiSdp+jvJicCvH/91kLjk2ocdzNH9+VbOHKyHhjdF6YF3eT6EQLYd+cWzH7rnd5Fw+FN3WUx39SJb4kTg8rCB/TOr24uw24tExuCsZ4aUUnuleh4kp4voN86o7Z57OWL3W3pxCdwy6VrI85dnEakCAAHdmw11udybekE6N2hppeeqCtSFyQOJKv0H4wJQKCvwrvJ+hm2lurEuO0+UPNQtZpRVRsPyR8hc2yqmxX79u2TZ8+eLXsYpARMb+E1IbAWyQLLa19RojFQJnQP1MOGbC4BeyFU2/5cgpaDmsChv9ofp2SywOna76gMNmVlcC3AGh3HxnXjfYH/e46/ahVRpjmI+12YsCUrGgt1LWIlEQAevXdbT8V1H4uQbfzhOVSxfS7B++oY1o+PaY/ZtI3o3OmuFzU3QP/Lku4znQiPSxwA9AHu4e2rFy1dzFkwJnDikd6m5r5WOh8LZxHYzgXF12AjhDgnpdyn/RuFF6kydx89Gbu4Z/WguuvoSafvqaKgSbAFqpsyDV32NzffjC3Sqatk77poCQB/7UNb8O2338vUpRRe8HWB9+H96+bAJ3v0Mx0h5fobAeDZQ3u615XLtajD9fp0HdfmiQDXW2t9i/XDext9wlq3b9M1OFkPur0hfSwwruN2mQfbi9YXPrW777eu50TtO2zZDOP6MpU1LokrZDCxCS8G15NK4xK4m1WxPVMR0ChpEikO7Nja5z1Urpu0iQVx4//R4nJfvS+Xwp5A27L1+veuZB7HE45/OvHI7thCrFGigbk2VB0514xTVcojbgw2fAKFXY9lcamlDUYOJwDYgpRNruHF5RaenLvgXUfPNJ+ToaK4rvNgGtualNrfms6Jbt/qGH32mzfMkh9NGONFKo1rTEzaB9XcfNPZ1eOaSBG1HKgmwtG9/NS2TcbgcRXXE7cfUwHLMLpFKk+Dt6srMlxbDeifA1XoVFkHlEstXENM/dbmelpurRotHnFjA2B1FevwsVpEr5VnD+0x1qO7fbIeG3Nns1TZLJ0+jeLDLlMd7y23sPDUfdbjdh2bSWCZXIe62Mv9M6et+zWRZwzW5ESgdc8yS364ofAilcalKCqQ7kEVFzSdJJ5M13/s+TNvaxft1793BU/OXcDT07tw9q0rPd+TuNWPD9DH2rhacHQCzlZNPg2NkNCMG1v43OmSMqLbUcJAl2gRJ9TTBONPTzX6zo8N15eBJ+cu9GxTHZfJdagT/j797o4c3G7NzNTRXFzuySoG4jNMk9yTJiF1YMdWTH3+1a5IiSa2uCRH2M6H6WUqzz6Cc/NNvH99pe/zoBafyUwGGwovUnniiqKG+ykmwSZcksaPmVoAmXj+zNvYd+cWvPbGZW1JgGMvX8SNlTXtAuC6wOt62KUtb6AjbOnZd+cWa9C17txFrTn7Z04bz0/UGqP+v49lCtA34NaJnKend2HfnVt6hOHSzRVnq4UusN50XK+9cblbXT/O2mKqo/arLyzgsdmFPivhZoOlxTamsOtxQzBmFV1JS+yYhHc021e161LcWLl19kyZuaZr3dYgO89OJSdOXdLGNG5cN87A+iGHwosMDLq3YZV9luZBZRMuSYP2fV2fKp7IFn8TRS0AruJJt+0jB7fj8RfPY9WjcrktEUC3H1N/RZdzNzffjD02Xa0wlwy7MH/73m19gsokcqLCUBdcrqs9B/RaieJcwyomz+X6M8dGoWdfcda0n9q2Ca9/74p1X7a6dkB/GylfdMLb1q5LjSk6xqg4MlnTbA2y84zBMm0jLyt0HCxrURwUXqRwkt7gedVQs5VxSLrtJJYk30xD9ZtnD+1xioMzuX7GALiGzNeDsa41y6Utk8maaMpSA9BXsiIO2RlL+FpY9KyS/tobl7vuXB2mXpjqv8NtnzYbas+tH7dbiaL4uOp8rpvl1mpPT82wJSxtkkqW2XhxMWSAXQDpBDng9/zIs4+gadu66zlP5uabfbGPWbpUST8UXqRQ0sZMJK1wbBN7eXQjMG3TZlFQ49L9bkMwZnRnxVVUV9vQHY/J3WFiubXWjUdTxTzDvw4nA9isVSpLzZSAoI7fdWTRnpRjjnWxor/XXZdAr6UqfB7C/70qJepBDVLT+zDOShTF5D43Xce2uC0d4Z6a4WvDVbxN1oMe1zfQe42ltZ64lqhQAshVHPk+P/LsVGKLRyxK+NjmOSuXKumHwosUSp4xEybixF4eljTbNqPB1MCth7npd4A+20/9TQXZmxbOh/fqF5wkLpMvf+Md7LtzizZDUyUDIPT/ddw+WfdKQHAhHAvnW0FdtZyJbs/kyrKNIYuSGzoXbNx17JuxGR6zmjcXVNYgoL++swhId00Yefe9ZazJ/gzarMSR7T5OKy7jEoeKED5x88yyFvnAAqqkUEwFD9MUJY2jikUKkzy0434zN980BpXriqeqf/v0lFTEVVq3/V0lLMS5kUyYAsNtjIlb8U4+KFdnFk/JzRMBFpdasdtShUyjxF3HT85d6Ov1mTUu8VtZ3G9JitWqazZtjJkLWVecL+O5aNuvgoVck2MroEqLFymUPGMmTFSxSGESl2ncb6anGkZ3k8mVZgqyfnhvw7qIx1mUbH9Xi9NhD9eYIqgJbQp+HDbRNWnpY2nLWjRhqiz/1AM7ncpRLC63tDE+cdfxH5x/N3ZsSQUo4L4IZ3G/mZ4TcVmXRQmFrC33ZTwXbfsFsrMakn5YuZ4UypGD21EPaj2f5X2Dp60IXzXm5pvYP3Madx89if0zp3uqijcMx2RypamSBboq6J+5d1viMboExbvOv9pWY7KOjevGjTFp9aDmXIk//JtjD+60Xpc+TgElsEwV5J+e3oVnD+0xnieFrmK8MTlCCDw5dyG21+Vzh/bgNz61R3uccfPmc4+mvd/m5pu4dqNfXNeDmlMmaBFk/TJXxnPRtF+g/fLAfpH5QeFFCiXaFsWnpUpSynqo5YFycZhaupiO1bRg6doIqXOhxJdrK6UwE+v6H+aK469cNI5Vx7OH9uDNzthsqfbPPLQLTz2w02mbQO+1Z7subfvcuK6GyXrQ9xs1p88e2gOgXVdMiWT1tziirbBM87UqJZ63WCeVFch2nLp5Cwten3s0zf2mru+oiFRCIE6wFvUylfXLXFbPRdtLmWm/D+9tdO/xmhD4zL3bMP+5+yi6coSuRlI4STMT0+wPyL4MRRmYXBzHXr7YU+5g/fgY3ltuxcZyjQnRFQM6np5uW79srXh0LN00B+wqt52u6niUaEmPuNIfc/PN2OKeJqLXiRI9pn1GY7FUDN7h2QVthmY0yLzhUAIibEFR43v8hfN9QtpmB1LtlsLXvkn4ZXGPpLnfTMHeE6GioqYsvCJfpvLIdkz7XEyS1DA338RL55o9Wa6qU8YgPh8HBQovMhTEBZ7nLfaKKj5oK7CqxMvVpVZfcLwpdX1VSqeMM9eemQqfMCJTNp1uIbMteLqAZ1uSQHRhMi1cD+9t9FVOD2qim9kHuLeICotkVafMNleb6r0uQN/YuI3rakbxB9zKqAvX83r20J7UiR5J7zcXF15YWBcZUB+mii9zSeLOysgyJxReZAhIm75uW0RMf4sW1Hz/+ko39qi5uIzDsws4+9YVPD29K9NjdS2UGe3798xDu/DMQ7u01pLl1iqOv3IxdiEF9NYWXyZDYsJWYFXnarEteLrWQnEjDS8ypkXo5Hfe7d9Q5N8+LaLCIlnCLg51Xl7TNaArqRDUxvqsiboWVLb+l1Hy7F9oCzLXCesNKTIJ01K05T6OJHFnVUw8GgUY40VKxzcuIYppwTz+ysXY7dpipkx/e/R//Pc4PLvQ/fzqUqsv4Fui3X/R91jicI2LChMWF2sG0XR1qWWMG1NMTzXwhU/t7tt/MCacg9qDsV5LkbnVjbRWtdcJxKSLhWoAbRK0uvMbbleTZt+AXRzqKvCbYqgevXdbX4yQKT5tcbll7X/5+AvnjdeuzUqSFlt8WJ77HQaSxJ0NW+LRoECLFymVLN6eTYve1aVWN57ItN24h7nub3G97BQSiLUk+aKz+KgikjbUHLlazEzuBpvFyVYTSABaa6KpwrypwbTtWknT8DuJDS983eXRbFxtN4qPmytprTSbCzpLK4lOSIdrvKlsXNtx0DrTJkncWZ6V+YkZCi9SKlnEGKQRE3mb2l3EXxTf+Jm7jp6MHYdawH1itUxzYHKx2ALfo8HcSkTpRJetvZHtWvGNQ3OhHtSwfrzfXQf0iqI89h3UhHEB1J0D3XXj24IqjOk+zKrmlElIP/PQrr5x2+LhaJ1pkyTurIqxaqMAhRcplSyETxoxEbeIZG3FUG4coFd8RRtDR2O01Pd1i2tcdly0tRDgZgmxLWg+i7yriFI8vLc9xmgmXpzFI7qI+PZrjKKsLRuCMQRjosfdGD0u3QJ27cZKohY+itaqxOMvnHeKFbSJGGVBimtBpUN3Hx7YsVVbXFf16HTF19qsi4ejdaaXPAozk+xhyyBSKlm184kKAdOiF92urfUH0L84xWWhuRLUBDauG8d7yy1sqge4dnOlJ2tON26TsNFVn3fJ9rKViBCAMbstbs6iTa9fe+Oyl1ty47oa1mTvwhsVPtG50V0rthZKNnQNoIOawPiYwHKrnYG5eSLAUw/stAagH3/londrIxOfuXebVXwluY/CYt+E7n4xJVj43rMmS21cm6bGZH1grTNFZT+T8mHLIFJZsooxiL61mcRBdLsupvaokNCJnEfv3YZ9d25xtni0VmX3by5WEVVXylZ9Pq6PY/TvNquirkmz4tjLF42WinABVltMls09fE1TA8wkugRgdce5tOgJUw9qEKLf2tJalT3C+OpSC0de7LdcAvprLy1f/sY7PcIrej6TxD+pe8YmgsNza3MPx+0rytx8M9Z1WLX+qmnJMxuUDBa0eJHSyestsOztZrkAq7d830a6JsuLsrjpRN/miQDzn+tv0qy2Z+oHqaxkca4+ZYUzbceXN2OaCIfPV1xD4CMHt3tZySbrAY49uLPnevDt7eiKOk6f68pFqJisZfVgDFs2rnc+Lh9RZNqnuoaAfmtzmibUVSAr6z4ZDGwWLwovQjIkKsoO7NiKL3/jnVSxRmrBMbmFTA/uJ+cuWK09Opde3OJmc0/qmkPrUELxL/8//peu6y4pNpeoDpfFz7dKfz2oZWrdMqEyQ11jx1yFik7IBWMCELC6v5PsS2Gzsj3XEe/Rwq6D7pYzHbPtxYkMLjbhxTpehGSEru7XS+ea+PQ9d3jX3lJM1m81q/XpgTc334x1sV27uartDwfAWP/M5k6Sst9Fp0O5kp556COx31UEY/p+kRLwquPkMoe+tdKKEF0AuteUi+jy6fWn6xP4gQ3jzqLLVOzWRrQiv2KyHnTvIaBd1kKdn7hM4DS1AIuANbOIgjFehGREXAxWkqrvG9ff6lHnEo/mEjAdJi42zqdWlmsG39LNlW5/SFd346GP3qHNpAPcYouinQaivSx1VfqzDI4vEgF4u66i18HdDiVKFH++7reMzM03ce3mSt/nwZjQxtfFlZcZlNgpXTyrQHu8+2dOD6RFj8kCyaDwIgNHFW/2ufmmNcDZt8de+LdhwgtkXFPmOFTrnvB86uKyorWykmQKhrm61OoujDXHkg+vvXHZWDYjzmIQXZiVmJqsBziwY2vPHKprSbUQGkThNenYRcCErbCtjvD5dLkPT5y6pLWmrUppnG+buB6UfoPRUi62sjGDwNx8E0e+er57LpuLyzjyVX3CCemFrkaSiLJM+7YWP2WhxmRCCQOTQKjpGvJFfmvaZ3genj/ztrPoUq17otuJy1ibnmpkUk5DLYyui/uPFpe9XK1hdFmYQNtC96UzbxuvpbIropuvCjvvX19JfD/EZS6a8GndY24TZT5mm7guot9gVs+76akGXj/6MTQm69oG6oPU/uj4Kxf7BHRrVeL4KxdLGtHgQIsX8aZM034V325txUDDwsBUOsNUM8wmKnyaMkcJByrrGkvrCC98cQVbXfnR4rLztm6frGtdgOvHe98ddckNPkVMw9dSXm2AXEkqcMN9JH0tw7ZrOY4fLS47WaNt86o75jhxnVUlfRN5PO+GoTm1yTo5iFbioqHFi3hTZrPapA+sPC10tn2Hg451Qczq7+pv4WbTUVHhuk8djck6nju0B2/O3N+ttWVzj4YR6K1KnqRRtw61MMdtK7rwXg9lQi4ut6xNzU1xYTbU3B45uD2x1SkJ6pqYNASeA+1MVBeUOPC1DKdZ+Ccngth9zs03ce1Gf3xXFDXvLkkCSS2hruTxvGOg/WhD4UW8KfNtLckDK2/3pGnfjZCVRqHipG7v1OU6cepSzzhMosJ1n1HqQQ3PHdrTU9gUiHePhpEAXjrX7I4jKiA3TwTGrENF9K/hTDVl8TMRXnhNi+DjL5zH8Vf0LkVf1NxOTzXw6L3btOLL9cFZEwINx3P1g44otlnodMVlTftNIhaSLvz1oKbNag3vU11zLhZIifYxuFjpbC80WZDH8y5vsVgEphcE24sDaUPhVXGqmCZd5ttakgdW1m+s0XNyYMdWrzIPJhHoM864B3TcAmRzKemERnQcKlbl2UN7MLFuHK012Y1V04msR+/dZlwYp6caRnGyeSLAiVOXcNfRk/jQE183Wuhsgdk+RM/b09O78OyhPT2LyeaJAH87cjz7P7RFu717f2Kzk1XPFufnSz2oGWO04iycPla+mhA95/M9g6BSAsXXjbkqpfMLkroefxCy6GZFHs+7vMViERx7cGffC5eKHSV2UsV4CSEeAXAMwF8G8FEp5dnQ354A8MsAVgH8Aynlqc7nHwfwmwBqAP6VlHImzRiGmaqmSWfV5icJLiUVALdq5UneWHXn5KVzTTy8t4E/OP9u921+Q6B/pzGJK1vpAt04p6caOPbyRa31YLIeYOP68a5FTX0/bpsK1/mKzoWqufTw3oa2P2OUnsbgmtU+qAm8f/1WtfQ0RWhdUFXodWO9sXLLEnl1qYWXzjX7FspH/8d/j9e/d6Xnd99++z08sg/WArgA8Ol77gCAVC9WqsDqkYPbjfsSnX2Ynh8+JT7WpOwp/GnapxIoSe63MuI3dXGC0WzhLJ53g96c2vVZTPpJG1z/HwA8BOB/CH8ohPhJAL8AYCeA2wH8kRDi/9T5878A8DcA/BDAt4QQL0sp/2PKcQwlVQwkB8q/4eIeWK4tVZK8sZrOyR+cf7dvcdaJZNPiY7PWmMZ57MGd2orj127eqmxuEuumgGRleXIJVrbVLYurIxU9R1FNtXkigJTutcHSENfw2vU+fPNP++dM18PyybkLfd0MXnvjcnfBT4Kugr+u7IcqOGu7f3wSHsLEvZCZrrm4jgdFBpzbXqxcXiZGjUEXj2WRSnhJKf8YAET/6+onAHxFSnkDwA+EEN8F8NHO374rpfx+53df6XyXwktDUbFUSepiVfmGc3FpJH1jNc29TiDoFmffTDnbOHUCWNdPTzeOuEVSJ+iWbq7g7qMnY5tsu1yfcedoYt14ouu8HozhemutR3DUgxo2BGNacTtZN/elVJjG0exk8al5dZ2Pp6d3Yd+dW/oW+DS9K3WCKqml17VW29VrN3qOP+6FzHTNPfVA2zVlKjBcZMB5mpcJQlzJq5xEA8CZ0L9/2PkMAN6JfH5PTmMYeLJKk7YJq6q6M9NgW1jC7pgkx+crnJqLyz1i5cCOrbGtfMI8vNcucKMFVU2Lt64QK2C3Wqq/baoHuBYSdM3FZRyeXUA9GMOSpteiy/UZt/irMfnMtQDw8N4PYt+dW/qOC9CX63CJR7GN47HZBTw2u4DNEwE21QOtANfNR5qyDSbUnLrWlTMxPdXA2beuxGaELrXW+p4Vthcyl2tOd44O7NiK/TOnC7E2DUOZB1J9YoWXEOKPAPxFzZ9+TUr5+9kPqbvfzwL4LABs27Ytr91UmixiqeKEVVXdmWmwudHSvrWazonJogLc6rF35MXzgOi1RAi048FMzaJfe+Oy07iSLLZxi6T62/6Z032CQqK98AZjAq21W0ekrs84K2qcqNpUD5zKDkTH9NK5JvbducV4nsNxcaY4vCi6cx5FnfsxAOEzGb1ffVs6+aDOsWtdORvKKhfXNsn2rNDFStncdTphFo2vyvvFMO+aYKNOFbuOlEGs8JJS/myC7TYB3BH69wc7n8HyeXS/XwTwRQDYt29fvlG1FSWLWKo4YTWMb3g2wZr2xjedE6D/bT1KWKAoJIANQc0ovFwX6DgLyrUbK9ag6iguyQkA8IEN4123oGkudIulTcyoODXXJs1h4l4aXOLwoqi/ubgC19B2X4b7QAJt8RptE+OCa0ulsKByrSsXdy8o8a3GbkL3N90LX9iCZhJQ0ZcBXYHfPF8My0wcGnaG0buSlLxcjS8D+NdCiN9AO7j+wwC+ifYL/oeFEHejLbh+AcDfzmkMQ0HaWKo4YTWMb3hqvqLWjbNvXcnk7dl2TlzESpTFpRbqFqtXWDCFLSZqUXYJhlY1wdT4bbgmJ6ixR2OkXBbLsIANj70mBIKa0LowXTFd82msuz7ZfkKgm+3Xl0TgtIVbuIiutov11jVps/gmCTGIs/jpSmG4uFJd5r7oF8OyE4eGmWH0riQlVR0vIcTfEkL8EMBPAzgphDgFAFLKiwBeQDto/v8L4O9LKVellCsAfgXAKQB/DOCFzndJTsTVoBmGQn4motYNXS/DLCvuh2sJuRbNBNrnYoOlzpMa35NzF3B4dqG7qKpFWVlS4nA9Vp/4I9315bpYqmKy4etvVcpUoss0Jtu4movLTrXyXAtDXl1qdbdh6hOZJRK9LukjB7cjqEXqK9VEzz1tK0QbPf64IrdRcejaEQGIF1Bl1AzMsyZYUVSx/uMweleSkjar8fcA/J7hb78O4Nc1n38dwNfT7Je4E2c6r/obXlLXoE8vwzxufN28B2MCEOhxoalzcdhiTVE98GxB+RJwcmO5HKvrfJgEus2KGj2f126sZCpMdGNS+7TNjRqvzfJz7MGdOPLiea3LOMrjL5zH2beuFFIOA+g/Z6uRMUb/bTrHqmjp2beu9MVjmSyr4ZcMn44IQLyAouvPn6q69IbRu5IUIXMuSpgF+/btk2fPno3/ItEyqAGNOpeXaiodN/67j570ahqdR6q4bt4Bvci1xdHYamvpvvujxWWMGWKDoseqc12a4orChVnjCqPqztvDext9hSjzQgjg0Xu29ZVtcMV0TfgEx/vGc6mM2ySB9+HxTn3+VW1A/OaJW6Uz4uK2omM3nb/o/Ri33TCu9/KgPr/KwnQO8nrOuZLmeT6ICCHOSSn3af9G4UWqiukB4iIAXBeAqtz4c/NN/OoLC4gaU4IxgROP7HaqqxR+sLo85HxiuQBg/4e24Pm/+9POxxNdLH2y+VSzcJc2QEFNGAPxbbFzNgTQU5XdxJ7jr2Zm1Wp05inunOhEUfi83nX0pPG3bxpiz3zGZxNBtheez9y7jUVIC8B0Dlyv6TwZJRFtE155BdcTkhpbsdK4yuyuC1hcnawiEUL0lXA/9NE7umU/bKIlGOuN4XGt0+Wz8L7+vStemZFhzr51xcsSoirJx1mYhAA2rhs3ip8kogtwd3/ougckIdw0HLiVdGCyPKUVMOr7pqKlOn60uByb7GML7H962t4MnWRDlV16VS68XSQUXqQS6N6EXN0uusyYqPDQud6iQcllcvyVi31xOABw8jvv4unpXfGFVzXR9XEPuSSxbcdevuidFRktJRBl80TQV5IiWpDT9BafV1sh1xiiOAHj4m5sGI4ZSGYhmDQUco0mB6jtuApHl4W7CjFZRVhVXPZRlnWnCueA2KHwIqVjCgb1iQkyNZJWD7q7De6XqmTUmFxqKkPupXNN6wLeWpXeadlJ4olcRI6PJS1s3bKRNPYpCRPBWKLabqa4ttfeuGwc+2Q9sMbdJLEQmJIAFpdb2D9zuk/kAeYG1+FjcVm4y07WKSKw3GUfZQa4l30OSDwUXhVilPzfYWz90Z55aFdsL0Ig/m28yub3OFyFjK+IPHJwO4589XyiQqVZjcM1vu7Iwe2pehm6EowJ/LOHPuL9u7jFzhTwrimB5Y02nu6R3Vp3pU4AxFkVAffzFN5eGRRRK8plH2XXrKJLr9pQeFWEqqYAF4Gtvkv0AWIKGo97G6+6+d3mHnIVMkpEegl4T82lgt7jxuGagemzmGctvCbrAY49uDOzlx2di/Dw7AJun6wbLZqLDskDSXqtPrz31jFET7FJALgUXs0K12vU92W0iFpRLvtgzSpig8KrIpT9hlQmvtaodm/D9lypxdOl8jhQXfO7zj0UjImuMIgTMuGWSK4C/sSpS041qbrjqQk89cDO2O+5JDa4iN7ooutbniEOIfKxDOjOgWnscRbXpL1W4xqx6wRAUS8nrtdokpfRIizbLvsYZAs7yZ9UletJdozyG5Jr9Xz1IA5bD8LV6eOockXq6akGTjyyG42OwGhM1nHikd3a6u5AW5Rtngi631WuIJuAj+JzbW2eCHDik7ud5kxVOg8fy2fu3dbz7zjXlTrXzcXlbpPxDLxyPUStTXHVvl2rgZuK90bH7yJq4s6n6RzGCdRJjeVSnbewVXP9ePZLhOs16nMtK4roxOGyj2HuCELSQ4tXRRjlNyRXa9SoWgV9rHU+At7mEtw8EWBxqaXdl4v7x8eSZKr5FT3Xa2jX5bqxstZX7ywJEugGmwP2xt4+1hfTnEqgp7+mi8U1aa/VOGwVJK6HSnD49Ph0xfUaTfIyWoRl22UfVbewk3Kh8KoIeZr5ByFo32WhHmarYNzC7ipkTAvxmBC4++jJnvOvWhXp1uCJdeN9za/n5ps9jcfD49S1mHEZ79x8s8fF2lxctrblud5aww9m7u+p7zUmkFiIqf19YMO4VdT7iH5T5X+g3ZInWrPLRtwLme654eKSfc+QnVrEy43rS2bSl9EiAstt+4g+b589tKdyz1tSLnQ1VgSdeyaLiuo6l80TX7tQiaapvhTZMLfoJrNJ3Co6DuzYqnXJrUrZd/6npxrO/SvVdaRLAFAxReFr7PDsAp6ci+/Zd+zli30iyxZ3ps61chu/OXM/vv/M/Xhzpv0/n+bk4f2Zgt/VPPiI/riCpD7nNc5lpXtuPHrvtr7fRPFtJJ7ly82Rg9vbfUtDRAsAA+1rWYfp8yowTM9bkh+0eFWIPN7UTAv64y+c72ZcVdECpqNqwb9ZksWC51LvC2if/+OvtAuhmhofRxfmuJIW0X1KAM+feRv77txinTOf4qe6xTmKS2C/D2oeTNaXTfX+WKnNE0FsqyN1XuOs0a5uregc77tzi7X6vWkeCwt5iL4daN4WTMWNq1L0WMeohkMQP2jxGnJMC7fOAlJ18rIKRsnK+uSCsqyZxJLPgudTuFQVZnUNAk5i8ZBoW7Sy4gMbxp2yV8PXyGQ96ElC8CEs9HRWGgC4dnOl596Zm2/i/esrsdu+fbLubB1JkhQStgg+e2iP8z2TZ1C4utYfm13oqx2nCgCHGcTQgkEcMykeWryGHJfg20F6IysifqOoh2dco2LfBc93fMdevoiFp9pxXHExgLbryBZTtLjcsvZ3dLEOdbfl+D3bNWIqZKojLPSmpxo4/srFvt9GOwa4lOhQ5zVO4OdRX0xhsrTlFRTu0pQ7ev36WN+qEsc6LElSVZnPYYXCa8hxdb1U+Y2s6IdAUQ9Pm4XKNestjG+Gm3LzuYhZ03W0eSLA/R+5zVo3yibqn3pgp3P1fJeaV3HXic/+oiLLJPxcCmcqNk8E3RZJhw0FYZXlS+fqBtKLoqwSOXxwscaGs0xV8odLaIFrC58iniFVL9TswigX8y4KCq8hJ/oGq2sWDVT3jayMh0BRD0/TIi0Aa/++MOEFZXIiQDAmeiwu9aCWSbyTiyXE1AjbN/3/wI6tfT06w/OvW0QBezmI6P6i2ZkmwvtyuXdM4rcmBL7wqd46aDahrLOEHX/lIq631lLfC3nFIdnEjeuLne6Y0paZKfIZMgxlJBinlj8UXiNA+A02acudsijjIZDm4enzZp3WshY9l1eXWghqAvVgDMudWkyasKQuLu1/wtgsIU9P78LJ77ybqI+mKTg8LI42BO1wVNMiGu5moLC57TauH3cSXuF96USXrnCm7v7SxVXZynno0M2t7V4wXYt5uNLjxI2PNTZ8TFmUmSn6GVJEOESeME4tfxhcP2IUFaCeFWU9BJIENPumkqcNZNYtKK1V2VMA89pNs7Xr/o/c5rQfV0zbu3rtRqLkjXBXgqtL7UKex16+qF1ETXFb6hyEz8mRF897iYAoNSGM9870VAMP722g1ul+XRMCP7VtE06cutRXmsRWzsMH3b1guxbzKMsSF69mutZN+NzfccdDIdFLXKmcIsv2jCq0eI0gZbyRJY2xGKRgVd8367RuiaTtYhRZp+WbtrfUWvN27Zjm0tdtWhOiX5ymLHu/JiV+MHO/9m+qpIeyjq1Kide/d6X7d1Xj7OxbV/D09C5jOY9owkJQE1hZlc79Hm3XYlJXehJXYnNxGftnTndd4evHx/De8q2OCKY+pD4N3+OOZ5CeIXnj4nYdhji1qkPhRXInTYxFFg+BogJrbYuPiTQiOGm7GEXWb/y27fm6xHzHVg/GAIi+6yRpfNvGdTWsGx/zdp26BpGrGmem6/vhvY1uJ4DJiQDvX1/Rii7TvWCz8iQR/Lp7+LHZBRx/5SKeemCn8VoUuHX9X11qoR7U+iq5m+5v1+dG3PFQSNzC5eVwGOLUqg6FF8mdNDEWaR8CRQbW2hYfW0mFpCRtF6NI88avE0txQtDmEouen0lDmQlTe6ANQQ1PPbBT2/MxiTi9dnMVN1fWENRETwZk3ILtKhgl2te0SqKwXd/7Z05r56ImhDFMwHQuJieCrgXKp52NSVAqF/DDext9CRG6a9Fnkd8/c9r5uWF7gaGQuIWr23XQ49SqDoUXyZ20MRZpHgJFBtaagqXVIltEBpUuI9A23iSYxNLDexuY/eY7Rleersq76fysHx/rs1jZLFiLSy3jdZK0kn1rTWKyHmDj+nHnBdvHCqmu/7jr23SfrElp/J1OlAc1gfevr3RFnM9LSJw187U3LuOZh3b1XIumeXBd5LOMzaKQaEO3azVgcD3JnTKDNYsMrLUFS+cVyBtNAnh6eldP8oQpq3HzRJC5mH3tjcv4wAbzu1y0yjtgnpf3llvaJBBT9XnTtRRNJvHlveWWV5KFLojchOv1n+T+0SXRbFw33ieKXTsyxI1VuTDVXB05uL2bYOC7rbjvUSQkJ8/OBMQdWrxI7pQZY1H0G55r78M8cSkf8tQDOxNvP6mYjVZ5B+w9EF0tWHHXUng7+2dOe7kew+fNJVZQZ4W868fq+Hffu+LUL1G3j6T3T3T+7j56Uvs9kwvYx5IanacnvnbBqfyGjSTHzYrrduh2rQYUXiR3yrzZixZ9VQvkzWPuN9UDbQ0stfj6xHkdObgdR14832eJUdYxF2FjOh5XEWNCADiwY2t3W66xgjrB6CIITPt45qFdfW68JHXlXIsn68bx0rkmHt7bwB+cf7fv3Eevb1uCwfpxdyeL77XLiutu0O1aPkJqbsSqsW/fPnn27Nmyh0EGlKLfgof5rXtuvqltuROMCZx4ZDcAe0xVY7LeV5Xf1D9R912fcZoKmQK3FnPAnoygfqPr0xgeZxbn2GSNm6wH3Z6aPrj0R9QVdzWNQ52PuOv77qMnneY063sibtxVZZifF6OMEOKclHKf7m+0eJGhp+g3PJ/9ZfXQLerhfeLUJW2fw3BDaQBaoWKy/Ln0QEwyTlNSRThWa26+qbW4hX9jE11AdpYV0/HGNRo3YbI81YTAmpTG6yTOlRx3fcclGCy3VvHY7EK3plhW1+kgFkqllW40YXA9ISXhW+k+7+24YBQHIWEyPdXA/Ofuw3OH9jh1SDDFv6mmyUmOwydt/sQju41B+4C+VU8U1yB1G3H1wXyxZUPakgXSng/XBIOsr9NBDMaPq/hPhhMKLzJUxLXDqNL2s3roJtmO73Go75tcSGkWN9tCnXRx9lmEVTaeb+/KKGktK1nUB1PMzTcxljCrMO35CGdUxpGlyBjEjL1BtNKR9NDVSHKhjLiFvM32WW8/q4euy3bC50NVQlfutfBxAP3BzIA9bku3uPkGo6v96lxUcXXXkmQC6n6TNtw1rWVleqphdGv6bDttVmHa86G2MT3VcIozy0pkDGLGHutqjSYMrieZYwtszvMhmHdwbdbbz2p7LsHQLpl8k/UAN1bW+s7b+vExbRaj2oducUt6bLbA7MZkvW9BdQ2id/lN0vZC4X2mvb6zuHdMc18TAl/41G6vMZrOhwCM/SqjKJFrivuqevB7npT1rCT5w+B6UihFVosPk7fZPuvtu5ae0NVUUn38TDWWwttx6R8IQCuubI2pBaBdMOfmm85Vy6O49PxTjaYfm11ATVMiQRdEH8Z0feq2ZUO1xMkqqxHIxmqTpNK9iSwsMjbrV9VdgXkziFY6kh4KL5I5ZcUt5G22z3r7Lg9dncvuS2fe7v69ubiM58+8jb/2oS1480+XtdvJa951x63G6/ObMK79J9W/TULJdsymv61K2Wf5CsYEINCXyTlZD3DswZ25LJBps3BN16kKjvdZ2E3nQ9U384EiQw/rao0eFF4kc8qKW8i7eGke24976LpYqySAf/e9K8aGxy79A+tBDRuCMW180eaJANdb/S5I3XHbxusTX3Ts5YtdC1ySYAjbtWaaD2W50sW4VUksxMVP2orEusYlhvdRD3pzsCSAl841se/OLd7zQJFBCIUXyYE0AiVNUH7eb9RlvLG7WqtsjbgP7NjaYyVT1IMxXG+tWYPow+2FXI7bNl6fuJUbK2tO39MRd63Zrk+TMIhaIffPnC5FiLkkLWSRrBDex1Kr/1wUETow6LAwKjHB4HqSC0keOgw07cent6Ap4Nkn0D3tYpE0qN6ltY0NVRR0Uz2AEO26Yr7thFxb8OR9jdrG5ju/tmQFAWiP3fWa8wmwHzX4LCMMrieFk8SlUFZQfpXx6S1ocq/5xNxFz5uvdSdpY+Pwb+JEVzTmK5zFGGcNiooak3vWRN7XaJxFyzd+0uZmDhfbVdu3bUu37apQlnXpybkL+PI33sGqlKgJgU/fcweent7FZxmxQuFFUpPVQ29Qiwnm+dCPujdN1iABcwHOJDF3c/PNnjgrwC0+KIk71jXrMq5X4P6Z09bFLos6bHlfo3ELtu1cJm0KHhUErjGBVclGLKvtzpNzF3pc+KtSdv89qM8yUgwUXkNO3m+CWT70BrGYYBEP/bAV6u6jJ7XfkYb9zc03ce3GSt/ntoXTVvfLpc+er7XTZTEKj9e0/bjFLgsrhOka3VQPMon7ijsGk0XxwI6t2uvwmYd24eG9DTx/5m1rkkJ4v7p9BGMCH9gwHuvCLYOyrEtf/sY7xs8H8VlGioMtg4aYInr4ZdlrbBBbfhx7+WKhvdZMD25dexZ1/qP1uTZPBNZYExcLVJbXkumYakJ0+zw+vLeBE6cuWVscxbUJysIKobtGgzGBazdXMrnP4o5BteMJtzdaPz6Gk99513gdvvbG5djM0PB+wy1/1PyfeGQ35j93n7XHY1mUZV0yucRXpRzIZxkpDgqvIaaIBqxZPvR0D/wqB6POzTeNFd3zeuj7PNBNAmpi3bh1Tl3Hrq6ltP0rTcf0hU/txg9m7seRg9vx0rlmrLCxzY1tTJvq7j0addfoBzaM99X5yvvl43oo03BxuWVs5P2jxeXY86nbvupfWUWhFaWs5tg1Qy/MmhAD9ywjxUJX4xCT95ugasSre/NLU1Q06cOp6ABb28Ka10PfJ4Yq6fl3ifFRKBGUxtUad0yuriTTdoB20L0xu0+/flrHG96vyf3bXFzG3UdPel2LLufXNSYOuHUd2tr1VMltmIS86/eZ+PQ9d2jLtHz6njsAsGYZMUPhNcTkGWeQthFv1pQRYGsTMHkev+sDPen5P3JwOx6bXXAaS02ITOJrbMeUJisTgDboPszVpRbm5puJr5MkmYM24s6v64tT+D4c5tIGZVXEf3q6nUmry2okxAaF1xCT55ug6a27JkQpD/QyAmxNC+7miaASC1rS8z891ejLaNRhayydpas17QuEy1jCwsjXcpokczANpvmYrAfYuH7caikb1mKeSaxLWVjIn57eRaFFvKHwGmLyfBPMshFvFpQRYGsSNqrSe9m4nH/T4nPswZ1OmW2m6ui+VlXbIpi0NphPQdZwTJav5TQ6z6Y9ZXUtmubD1juSbq9eyipBQQhA4TX05PXArVq6dBnjKcvF4YPt/LssPi7HltaqGjcOXwE5ORHg/esraK21JZBrFfwfLS4ntpyGx2mq/J7VtTgI113VYYFTUiYUXiQRZQW0Vm08g2xJiFt8XI4tCxHgsgj6CEhThp9qK2RLCMmq5EQe1+Kg9v6r4rirVuC0inNE8oPCiySiam/dVRtPWfg8wLNafNKKz7TjcM3yW5MSP5i539hHLyvXafhabC4udxMQlCszyVwNqmusquOuksW+qnNE8oPCiySmataessdT9lur7wO8KotPEcHz4e3FiXQXa1XcudZtK82COqiusaqOu0oW+6rOEckPCi9CMqAKb62+D/ADO7b2tZIpYvGJipYDO7bipXPNxItgkt6CJpHuGk/mcq7TLqjheTJFqTUXl7F/5nRlrbtVc+kpqmQhr+ockfyg8CIkA0yL7LGXLxb2cPd5gM/NN/HSuWbPgi4APLw3X6uhTrS8dK6Jh/c28NoblxPNk7a3YE1g47pxvLes7y1os1jFWU5dBVWaBdXWLzNKWpGfhaXWtA1j6YsJt96WeTegr4JYrYrlmRQHhdcIUbYrbFiZm28aLS6Ly61uPaysrGC+i5zuAa4TDxLAa29ctu4jLSbR8tobl7sxViq7EHAvOKq27TLetNZJV0GVZkH1qU4PJHdNZWGptW3DJIrfv77STYIw7bMKVuQiqJLbkxQDezWOCEU0zB5F1Ly6krZXpu08+vRxtImHPK8V037VPpLuc3rKvbdg2h6mrr0B0zRKTuJmSvKbLPq5xlkAoz0LN64b75b6sO3TtN3jr1x0HtsgoJujYekqQPSksngJIU4AeADATQDfA/B3pJSLnb89AeCXAawC+AdSylOdzz8O4DcB1AD8KynlTJoxEDcYwJkPvpYJIF3shu08vn70Y93vxFl+bNaYPK8V035NrYfycNWmjalxtVCkiSMyzVNjso5rN1a0XQWSuKayiC+K20bUpWfqbRndjmm7aVs8VZGquD1JMaS1eP0hgL8ipfwIgP8E4AkAEEL8JIBfALATwMcB/H+EEDUhRA3AvwDwNwH8JIBPd75LcoYBnPmQZP7SxG6YXJrN0CLnYvmxWWPSxibtnzmNu4+exP6Z030WK9N+TUVOF5dbmVveXC1WJnwsFD6WuDCmeTqwYyuu3Vzp+34wJhK5ptLORZJtuH5uG0MaqzEhZZNKeEkpX5VSqqfAGQAf7Pz3JwB8RUp5Q0r5AwDfBfDRzv++K6X8vpTyJoCvdL5LciaLByzpxzR/NSG0nwuka6Bt2q7pcxM28WA6pk31wCqqXFyUpv02HK/DtK5aIJ0LUJFUUPlsXzdPr71xGa3VfpH6gQ3jicaQxVz4bsP1+7Yx8IWRDDJZBtf/9wBmO//dQFuIKX7Y+QwA3ol8fk+GYyAG8g7gHNXAfdO8mtyPEukCg02WIde2OGFM7g1tQPSYwLWbK9ZEAVcXpWm/rll8aRfdKpUSsKGbp8OzC9rvmqr1u+wDSDcXvttw/f70lLlZO18YySATK7yEEH8E4C9q/vRrUsrf73zn1wCsAHg+q4EJIT4L4LMAsG3btqw2O7LkudiMSvZRFCU2l1urqHXa0DRimke7WHZsIrZhif3JCt21snRzpW9xj4qqJC7KaI/F9eNj3RIQun0CbfGatnbVoMbUmGK/BJA47imLufDdhuv3dc3amfFHBp1Y4SWl/Fnb34UQvwTg5wH8jJTd1+4mgDtCX/tg5zNYPo/u94sAvggA+/bt83+dJ33ktdiMYuB+VGyuStldEHwqoMdtNypii0o9TxIQ7Vs+QddjsR7U8OyhPZiealhrWQ2buHe1GB85uB2HZxf6CqpKINP7rSoW7EGxThLiQ9qsxo8D+EcA/q9SyqXQn14G8K+FEL8B4HYAHwbwTbRfzD4shLgbbcH1CwD+dpoxkPIZxcB9lwbT6ns+C0Ze202Li6iKE4XRxXzp5orzser2PSzi3sdiPD3VwGMGd2NW91vVLNiDap0kxETaGK//N4D1AP5QtIN7z0gp/56U8qIQ4gUA/xFtF+Tfl1KuAoAQ4lcAnEK7nMRvSymHqyjLCDKKlZddxKbPgqFEiSlrMel2s8LF0mYThbrF3ITuWO8+elLbNiep2KiKRQfwtxib3M1Z3W+jaMGuMlW6Vkk2pBJeUsq/ZPnbrwP4dc3nXwfw9TT7JdViFCsvZyk2XdrDZC1iXR7m0e+4tPUxiUKfeme6Y81zvsu26PhajPO+39JasCkUsqNq1yrJBrYMIqkZxTiMLBe/OFFic9cl7asX9zA39VRMWlHbddE2zWGa+fZ1cRaNr6jM+35LI3IpFLKF1sfhhMKLZMKoxWFkufjZREkjxl2XZFEzPcwff+E8Ds8u4PZOdXRTu5Ykx2hsllwPsHH9eOwcJp3vpC7OIkkiKvO839KIXAqFbBnF+NlRgMKLkBA+FqWsFj9bexjVBgjIblEzPbRVLTCbOEnarsW0mB97cCeAW4LK1hzbNt+m85bWxVkEVbMYpxkPhUK2jGL87ChA4UVIh7LcJK4WhqwWtcmJIHHBTcBctsAmWk2LOYDUc247b2ldnEVRNYtx0vFQKGTLKMbPjgIUXoR0KMtN4mphyGpRS1DkvgedmHERrbrFfP/M6dRzbjtvpjmrB2PYsnF9JSxMimEISs9aKGQ9J4M2x1WzhpJsoPAipEOZbhIXC0NWi9p7mhYsOoTQizSd0EsqWrOYc9s2nj20B0dePI/WWu+BrKxJ6wJW9ALta22tqoDIUihkbYEe1MD/qllDSXpSNckmZJioeiPx6SlzY2sfXI6nHtTw6D3bnJsfJxVQWcy5bRvTUw18YEP/+2VrVRqbbbs0+84am3Ctwvh8mJ7KpoG4y5zMzTetjdt9t0dIEVB4EdLhyMHtzkKjLLJY1HTHOSbaFi4AqAmBh/c28PT0LmehZxI/Y0JYF8Mkcx5dbA/s2GrdxqIhns0kCstYoH2E66gIiLg58RWgDPwnVYGuRkI6DFM8hU+g++REgPevr3TdcatS4qVzTey7c4uzm0PnBlXbsrlzfOfcVF/MVtzVNzbOZ4HOyuXnM8Y8BEQVXZdxc+Lr3mbgP6kKFF6EhBiGeArfQPf9M6f7shxVXa/wb2yo7zz+wvluWYrwtmyxXj5zblpsX3vjck/pjTAmUXjtxoq2NIax5thEgP0zp7vi5MCOrXjpXDOTmCGf+L2sBURVY5/i5qRqFf8JcYWuRkIS4BNbUjS+rihbXS+f2KHpqQbWDCmTcdYY1/lMYu1RsXGbJ4KezxeXW9rj07k/g5rA+9dXetxaz595OzOXn0/8XtYu8aq6LuPmxDc+MKsYSULSQosXIZ5U1UKg8BUnJgsK4F/aIYk1xmc+k1p7VDFVnWUvenw69+e1GytYjGSDmqpyJHX5uVr+snaJVzn2yTYnVav4T4grFF6EeFL1tii+4sTkilP4LMBJFkOf+UzjLvIRGNEF+u6jJ2O3rygiZihLAVFE7FMeMWTDFJNJRgsKL0I8qbKFAPAXJ7b4LMBvAU6yGPoKIt/tK9IIDJtVMIwAvF1+ZQe25x37lKeFmBYsMohQeBHiSVHZUUkX5CTiRP0tiwXYdzH0nc+ki20agRFnFVRI+ImJLERJWuGWt+Wo6hZiQoqGwosQT4rIjkq7ICcRJ2W5borKNktzfNHfjgmhtQ42PMW3SZS4ZpRmZU3K03JUdQsxIUVD4UWIJ0UIlDL7Rtq2P+ixOmkERvi3UcEDJBOLcRmlar8m8r5OsjjfrJ9FSC8UXoQkIO/YkipaCaoYq1NWfFRWYjFtRmme10lW55v1swjphcKLkAriayUoQoBULVbnybkLeP7M292yDnmW9TDNb9r9pM0ozdOalNX5ZvYhIb1QeBFSQXysBHlYonRCo0pWuLn5Zo/oUuQhBPO29AHJM0oP7NjaNw9ZWZOyPN/MPiTkFqxcT0gF8amynXXlcVPz4clI5XdFEutK2sr/J05dyryAqW1feVZ2n55q4Auf2p2oWfhL55o98yAAPLw3G5HjWxmeEOIGLV6EVBRXK0HWliiT0Fg/PoZ6UEsdq5OFBcl2bFkLA9O+movLPb0b07jPkrjjdOdJAnjtjcuJxhCFsVmE5AOFFyEZUkawd9ZxPiah8d5yC88e2pP6+LKIHTIdc5ICpjrC59FUOkIA3TFk4X70dcfl7fplbBYh+UDhRUhGlNXDMWvLhE3IZRGrk4Vg0B2zAPDovdtSjy96Hk2iq4j4MhtFlGlgbBYh2cMYL0IyIu9YIBM+8WAuHDm43TveyIcsYod0x/zsoT14enpX6vHpziMA1ITo7quo+DIbeZ8nQkg+0OJFSEZUKesvDXm7mLKy0OVljTGdrzUp8YOZ+wEA+2dOl14UlK5AQgYTCi9CMqKsCt15uDjzdDFVXTC4nMeqBJ7TFUjI4EHhRUaerALiy1qMq1bY1IUqCwaX8+gjHsuqrk8IqSYUXmSkydJaVJYlZ1hcnFXB9Ty6iMeiEi4o7ggZHCi8yEiTtbWoDEsOmxBnT1bnsQhrZFnZtISQZDCrkYw0w2AtYnZbdSni+sojmzZtZwFCiBkKLzLSDENblKzLSZDsKOL6ylrcmVpGUXwRkg10NZKRpirZaWmJc40xBih7XOa0iOsra1fzICZrEDJI0OJFRp7147dug80TwdBZi2jByB7XOS3CGpm1q3kY3O+EVBlavMjIEg1KBoDrrbUSR5QPtGBkj8+c5p1wkXU2LZM1CMkXCi8ysoyKIKEFI3uqNqdZirthcb8TUlUovIg3wxIvVLXFMy/ytmAMy/UAuB/LMFuFiq5HN0zXDyEuUHgRL4apZlBWi2fVF448LRjDdD34HMuwW4WKqkenm/PDsws4+9aVTBqeE1JFGFxPvMijZlBW+NYeyiIoeRAC1/MM8K7y9eCLz7GwhEc26OZcAnj+zNuVuocIyRJavIgXVXXPJbG8ZOFSGZQ4sbwsGFW9HpLgeyxV7jc5KJjmVgKVu4cIyQoKL+JFVWNbkgqgtIvnMAmPJFT1ekjCMB3LoGCac2B07iEyetDVSLyoanuasgTQMFS+T0NVr4ckDNOxDApHDm6HMPxtVO4hMnpQeBEvqhrbUpYAGvXFuqrXQxKG6VgGhempBh69d1uf+Bqle4iMHkJKWfYYYtm3b588e/Zs2cMgFUZXDLUe1ApZOKue1UhI1eE9RIYNIcQ5KeU+7d8ovMiwMKgP70EdNyGEED024cXgejI0DGKW2TDVwSKEEBIPY7wIKZFhqoNFCCEkHlq8CCmRKpajGGTX5yCPnRAyGlB4EVIiVasdNciuz0EeOyFkdKCrkZASqVo5ikF2fQ7y2AkhowMtXoSUSBZti7Kkiq5PVwZ57ISQ0YHCi5CSqVI2ZtVcnz4M8tgJIaMDXY2EjChz803snzmNu4+exP6Z05ibb1bO9enDII+dEDI6UHgRMoI8OXcBh2cX0FxchkRvIPqgts1hyx9CyCCQqnK9EOKfAvgEgDUAfwLgl6SUPxJCCAC/CeDnACx1Pv925ze/CODJziaellL+Ttx+WLmekOyYm2/i8OwCdHd+Y7KO149+rPAxEULIMGGrXJ/W4nVCSvkRKeUeAH8A4HOdz/8mgA93/vdZAP+yM5AtAJ4CcA+AjwJ4SgixOeUYCCEenDh1SSu6AAaiE0JI3qQSXlLKPwv9cyPQfZ5/AsDvyjZnAEwKIW4DcBDAH0opr0gprwL4QwAfTzMGQogfNnHFQHRCCMmX1FmNQohfB/DfAXgPwIHOxw0A74S+9sPOZ6bPCSEFYcr+EwAD0QkhJGdiLV5CiD8SQvwHzf8+AQBSyl+TUt4B4HkAv5LVwIQQnxVCnBVCnL18+XJWmyVk5NFl/wkAj967jYHohBCSM7EWLynlzzpu63kAX0c7hqsJ4I7Q3z7Y+awJ4K9HPv83hv1+EcAXgXZwveMYCCExVK1oKyGEjBKpXI1CiA9LKf/3zj8/AeCNzn+/DOBXhBBfQTuQ/j0p5btCiFMA/lkooP4+AE+kGQMhxJ8qFW0l5cLG4oQUS9oYrxkhxHa0y0m8BeDvdT7/OtqlJL6LdjmJvwMAUsornRIU3+p87/NSyispx0AIISQBbCxOSPGkquNVFKzjRQgh2bN/5rQ20YL13AhJh62OF3s1jjh0MxAyurCxOCHFw5ZBI4xyM0TbxszNN8seGiGkAEx121jPjZD8oPAaYU6cutSN7VAst1Zx4tSlkkZECCkSNhYnpHjoahxh6GYYXehiJgBLixBSBhReI4ypgjndDMMNM9lIGJYWIaRY6GocYehmGE3oYiaEkPKgxWuEoZthNKGLmRBCyoPCa8Shm2H0oIuZEELKg65GQkYMupgJIaQ8aPEiZMSgi5kQQsqDwouQEYQuZkIIKQe6GgkhhBBCCoIWL0IIMcBCs4SQrKHwIoQQDSw0SwjJA7oaCSFEAwvNEkLygMKLEEI0sNAsISQPKLwIIUSDqaAsC80SQtJA4UUIIRpYaJYQkgcMrh8hmKFFiDssNEsIyQMKrxGBGVqE+MNCs4SQrKHwGhFsGVpcWAipHrRQEzKcUHiNCMzQImRwoIWakOGFwfUjAjO0CBkcWEOMkOGFwmtEYIYWIYMDLdSEDC8UXiPC9FQDzzy0C43JOgSAxmQdzzy0i24LQioILdSEDC+M8RohmKFFyGBw5OD2nhgvgBZqQoYFCi9CCKkYrCFGyPBC4UUIIRWEFmpChhPGeBFCCCGEFASFFyGEEEJIQVB4EUIIIYQUBIUXIYQQQkhBUHgRQgghhBQEhRchhBBCSEFQeBFCCCGEFASFFyGEEEJIQVB4EUIIIYQUBIUXIYQQQkhBUHgRQgghhBQEhRchhBBCSEFQeBFCCCGEFASFFyGEEEJIQVB4EUIIIYQUBIUXIYQQQkhBUHgRQgghhBQEhRchhBBCSEGMlz0AQsjwMjffxIlTl/CjxWXcPlnHkYPbMT3VKHtYhBBSGhRehJBcmJtv4omvXcByaxUA0FxcxhNfuwAAFF+EkJGFrkZCSC6cOHWpK7oUy61VnDh1qaQREUJI+VB4EUJy4UeLy16fE0LIKEDhRQjJhdsn616fE0LIKEDhRQjJhSMHt6Me1Ho+qwc1HDm4vaQREUJI+TC4nhCSCyqAnlmNhBByCwovQkhuTE81KLQIISREJq5GIcTjQggphPjxzr+FEOL/KYT4rhDiO0KInwp99xeFEP9753+/mMX+yWAwN9/E/pnTuPvoSeyfOY25+WbZQyKEEEIKJbXFSwhxB4D7ALwd+vhvAvhw53/3APiXAO4RQmwB8BSAfQAkgHNCiJellFfTjoNUG9Z0InnAAq2EkEEjC4vXswD+EdpCSvEJAL8r25wBMCmEuA3AQQB/KKW80hFbfwjg4xmMgVQc1nQiWaPEfHNxGRK3xDwtqYSQKpNKeAkhPgGgKaU8H/lTA8A7oX//sPOZ6XMy5LCmE8kainlCyCAS62oUQvwRgL+o+dOvAfgnaLsZM0cI8VkAnwWAbdu25bELUiC3T9bR1Igs1nQiSaGYJ4QMIrEWLynlz0op/0r0fwC+D+BuAOeFEG8C+CCAbwsh/iKAJoA7Qpv5YOcz0+e6/X5RSrlPSrlv69atSY6NVAjWdCJZk0eBViaAEELyJrGrUUp5QUr530gp75JS3oW22/CnpJT/GcDLAP67TnbjvQDek1K+C+AUgPuEEJuFEJvRtpadSn8YpOpMTzXwzEO70JisQwBoTNbxzEO7GAhNEpO1mGfMGCGkCPKq4/V1AD8H4LsAlgD8HQCQUl4RQvxTAN/qfO/zUsorOY2BVAzWdCJZknWBVlvMGK9bQkhWZCa8OlYv9d8SwN83fO+3Afx2VvslhIwuWYp5xowRQoqAvRoJIQRs6k0IKQYKL0IIARNACCHFwF6NhBACNvUmhBQDhRchhHRgAgghJG/oaiSEEEIIKQgKL0IIIYSQgqDwIoQQQggpCAovQgghhJCCoPAihBBCCCkICi9CCCGEkIKg8CKEEEIIKQgKL0IIIYSQgqDwIoQQQggpCAovQgghhJCCoPAihBBCCCkICi9CCCGEkIKg8CKEEEIIKQgKL0IIIYSQgqDwIoQQQggpCAovQgghhJCCoPAihBBCCCkICi9CCCGEkIKg8CKEEEIIKQgKL0IIIYSQghBSyrLHEIsQ4jKAt8oeR0p+HMD/UfYgBhTOXXI4d8nh3CWHc5cczl1yqjR3d0opt+r+MBDCaxgQQpyVUu4rexyDCOcuOZy75HDuksO5Sw7nLjmDMnd0NRJCCCGEFASFFyGEEEJIQVB4FccXyx7AAMO5Sw7nLjmcu+Rw7pLDuUvOQMwdY7wIIYQQQgqCFi9CCCGEkIKg8CoQIcQ/FUJ8RwixIIR4VQhxe9ljGhSEECeEEG905u/3hBCTZY9pUBBCPCKEuCiEWBNCVD7jp2yEEB8XQlwSQnxXCHG07PEMEkKI3xZC/IkQ4j+UPZZBQghxhxDiNSHEf+zcq/+w7DENCkKIDUKIbwohznfm7njZY4qDrsYCEUL8eSnln3X++x8A+Ekp5d8reVgDgRDiPgCnpZQrQoh/DgBSyn9c8rAGAiHEXwawBuB/APB/l1KeLXlIlUUIUQPwnwD8DQA/BPAtAJ+WUv7HUgc2IAgh/i8A3gfwu1LKv1L2eAYFIcRtAG6TUn5bCPHnAJwDMM3rLh4hhACwUUr5vhAiAPC/AfiHUsozJQ/NCC1eBaJEV4eNAKh6HZFSviqlXOn88wyAD5Y5nkFCSvnHUspLZY9jQPgogO9KKb8vpbwJ4CsAPlHymAYGKeW/BXCl7HEMGlLKd6WU3+78938F8McAGuWOajCQbd7v/DPo/K/SayuFV8EIIX5dCPEOgEcBfK7s8Qwo/z2A/6XsQZChpAHgndC/fwgugKRAhBB3AZgC8I2ShzIwCCFqQogFAH8C4A+llJWeOwqvjBFC/JEQ4j9o/vcJAJBS/pqU8g4AzwP4lXJHWy3i5q7znV8DsIL2/JEOLnNHCKk2QogPAHgJwGMRDwmxIKVclVLuQdsT8lEhRKXd3ONlD2DYkFL+rONXnwfwdQBP5TicgSJu7oQQvwTg5wH8jGRwYg8e1x2x0wRwR+jfH+x8RkiudOKTXgLwvJTya2WPZxCRUi4KIV4D8HEAlU3woMWrQIQQHw798xMA3ihrLIOGEOLjAP4RgAellEtlj4cMLd8C8GEhxN1CiHUAfgHAyyWPiQw5nQDx3wLwx1LK3yh7PIOEEGKrynIXQtTRToyp9NrKrMYCEUK8BGA72hlmbwH4e1JKvk07IIT4LoD1AP6089EZZoS6IYT4WwD+XwC2AlgEsCClPFjqoCqMEOLnADwHoAbgt6WUv17uiAYHIcSXAfx1AD8O4L8AeEpK+VulDmoAEEL8nwH8/wBcQHt9AIB/IqX8enmjGgyEEB8B8Dto369jAF6QUn6+3FHZofAihBBCCCkIuhoJIYQQQgqCwosQQgghpCAovAghhBBCCoLCixBCCCGkICi8CCGEEEIKgsKLEEIIIaQgKLwIIYQQQgqCwosQQgghpCD+/4TYbmKp+xjnAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "y_pred = model.predict(X_test,verbose=3)\n", + "y_pred = np.squeeze(y_pred)\n", + "print(r2_score(y_test,y_pred))\n", + "plt.rcParams[\"figure.figsize\"] = (10,10)\n", + "plt.scatter(X_test[:,0],y_pred)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CHqzF1OU0pBg" + }, + "source": [ + "## Your own custom model\n", + "Build a custom model of your own choice.
\n", + "Describe it in detail in Markdown/Latex in the cell below.
\n", + "Visualise the loss, as before." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jF8oTUqq0y0g" + }, + "source": [ + "Your text here" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "id": "1XOk5hJu0oSQ" + }, + "outputs": [], + "source": [ + "# Your code here\n", + "model1 = tf.keras.Sequential([\n", + " tf.keras.layers.Input(shape=(5,)),\n", + " tf.keras.layers.Dense(3, activation='relu'),\n", + " tf.keras.layers.Dense(1)\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 488, + "metadata": { + "id": "aS0ROZa402Lo" + }, + "outputs": [], + "source": [ + "model1.compile(optimizer='adam',loss='mse',metrics='mse')" + ] + }, + { + "cell_type": "code", + "execution_count": 489, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/100\n", + "200/200 [==============================] - 1s 2ms/step - loss: 13840.1172 - mse: 13840.1172 - val_loss: 13524.0000 - val_mse: 13524.0000\n", + "Epoch 2/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 13687.1973 - mse: 13687.1973 - val_loss: 13352.5820 - val_mse: 13352.5820\n", + "Epoch 3/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 13474.3613 - mse: 13474.3613 - val_loss: 13104.5859 - val_mse: 13104.5859\n", + "Epoch 4/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 13185.0664 - mse: 13185.0664 - val_loss: 12785.2529 - val_mse: 12785.2529\n", + "Epoch 5/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 12830.8779 - mse: 12830.8779 - val_loss: 12404.9346 - val_mse: 12404.9346\n", + "Epoch 6/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 12421.9922 - mse: 12421.9922 - val_loss: 11975.1084 - val_mse: 11975.1084\n", + "Epoch 7/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 11962.5391 - mse: 11962.5391 - val_loss: 11501.2988 - val_mse: 11501.2988\n", + "Epoch 8/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 11460.6133 - mse: 11460.6133 - val_loss: 10988.3613 - val_mse: 10988.3613\n", + "Epoch 9/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 10925.2588 - mse: 10925.2588 - val_loss: 10444.8535 - val_mse: 10444.8535\n", + "Epoch 10/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 10364.3545 - mse: 10364.3545 - val_loss: 9881.4756 - val_mse: 9881.4756\n", + "Epoch 11/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 9783.4814 - mse: 9783.4814 - val_loss: 9300.1133 - val_mse: 9300.1133\n", + "Epoch 12/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 9188.4902 - mse: 9188.4902 - val_loss: 8711.4570 - val_mse: 8711.4570\n", + "Epoch 13/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 8586.0615 - mse: 8586.0615 - val_loss: 8115.1475 - val_mse: 8115.1475\n", + "Epoch 14/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 7982.0117 - mse: 7982.0117 - val_loss: 7523.6743 - val_mse: 7523.6743\n", + "Epoch 15/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 7382.8745 - mse: 7382.8745 - val_loss: 6936.0264 - val_mse: 6936.0264\n", + "Epoch 16/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 6792.1421 - mse: 6792.1421 - val_loss: 6359.7388 - val_mse: 6359.7388\n", + "Epoch 17/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 6214.6719 - mse: 6214.6719 - val_loss: 5799.7231 - val_mse: 5799.7231\n", + "Epoch 18/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 5654.0098 - mse: 5654.0098 - val_loss: 5259.4482 - val_mse: 5259.4482\n", + "Epoch 19/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 5114.4399 - mse: 5114.4399 - val_loss: 4739.8965 - val_mse: 4739.8965\n", + "Epoch 20/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 4599.0430 - mse: 4599.0430 - val_loss: 4245.8823 - val_mse: 4245.8823\n", + "Epoch 21/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 4109.3296 - mse: 4109.3296 - val_loss: 3780.7100 - val_mse: 3780.7100\n", + "Epoch 22/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 3648.1357 - mse: 3648.1357 - val_loss: 3342.4595 - val_mse: 3342.4595\n", + "Epoch 23/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 3217.1318 - mse: 3217.1318 - val_loss: 2936.8457 - val_mse: 2936.8457\n", + "Epoch 24/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 2818.3367 - mse: 2818.3367 - val_loss: 2562.5764 - val_mse: 2562.5764\n", + "Epoch 25/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 2452.7124 - mse: 2452.7124 - val_loss: 2219.6321 - val_mse: 2219.6321\n", + "Epoch 26/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 2120.3643 - mse: 2120.3643 - val_loss: 1911.0469 - val_mse: 1911.0469\n", + "Epoch 27/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 1821.3953 - mse: 1821.3953 - val_loss: 1637.6531 - val_mse: 1637.6531\n", + "Epoch 28/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 1556.1570 - mse: 1556.1570 - val_loss: 1395.4081 - val_mse: 1395.4081\n", + "Epoch 29/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 1323.6229 - mse: 1323.6229 - val_loss: 1184.5981 - val_mse: 1184.5981\n", + "Epoch 30/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 1121.9323 - mse: 1121.9323 - val_loss: 1004.9005 - val_mse: 1004.9005\n", + "Epoch 31/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 949.4058 - mse: 949.4058 - val_loss: 850.7897 - val_mse: 850.7897\n", + "Epoch 32/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 804.3069 - mse: 804.3069 - val_loss: 723.7980 - val_mse: 723.7980\n", + "Epoch 33/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 684.7090 - mse: 684.7090 - val_loss: 620.0439 - val_mse: 620.0439\n", + "Epoch 34/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 587.2536 - mse: 587.2536 - val_loss: 537.5434 - val_mse: 537.5434\n", + "Epoch 35/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 509.8638 - mse: 509.8638 - val_loss: 472.5410 - val_mse: 472.5410\n", + "Epoch 36/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 449.9639 - mse: 449.9639 - val_loss: 423.4788 - val_mse: 423.4788\n", + "Epoch 37/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 404.6838 - mse: 404.6838 - val_loss: 387.0443 - val_mse: 387.0443\n", + "Epoch 38/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 371.6767 - mse: 371.6767 - val_loss: 361.2657 - val_mse: 361.2657\n", + "Epoch 39/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 348.3344 - mse: 348.3344 - val_loss: 343.7689 - val_mse: 343.7689\n", + "Epoch 40/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 332.6844 - mse: 332.6844 - val_loss: 332.2873 - val_mse: 332.2873\n", + "Epoch 41/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 322.4550 - mse: 322.4550 - val_loss: 325.1962 - val_mse: 325.1962\n", + "Epoch 42/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 315.9606 - mse: 315.9606 - val_loss: 320.8064 - val_mse: 320.8064\n", + "Epoch 43/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 312.0205 - mse: 312.0205 - val_loss: 318.2467 - val_mse: 318.2467\n", + "Epoch 44/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 309.7753 - mse: 309.7753 - val_loss: 316.8010 - val_mse: 316.8010\n", + "Epoch 45/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 308.2532 - mse: 308.2532 - val_loss: 315.9306 - val_mse: 315.9306\n", + "Epoch 46/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 307.2604 - mse: 307.2604 - val_loss: 315.2415 - val_mse: 315.2415\n", + "Epoch 47/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 306.5775 - mse: 306.5775 - val_loss: 314.8167 - val_mse: 314.8167\n", + "Epoch 48/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 306.0540 - mse: 306.0540 - val_loss: 313.9767 - val_mse: 313.9767\n", + "Epoch 49/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 305.4696 - mse: 305.4696 - val_loss: 313.3174 - val_mse: 313.3174\n", + "Epoch 50/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 304.8011 - mse: 304.8011 - val_loss: 312.6166 - val_mse: 312.6166\n", + "Epoch 51/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 304.1425 - mse: 304.1425 - val_loss: 311.8086 - val_mse: 311.8086\n", + "Epoch 52/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 303.3139 - mse: 303.3139 - val_loss: 310.9091 - val_mse: 310.9091\n", + "Epoch 53/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 302.4571 - mse: 302.4571 - val_loss: 309.9197 - val_mse: 309.9197\n", + "Epoch 54/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 301.4280 - mse: 301.4280 - val_loss: 308.8762 - val_mse: 308.8762\n", + "Epoch 55/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 300.3832 - mse: 300.3832 - val_loss: 307.7915 - val_mse: 307.7915\n", + "Epoch 56/100\n", + "200/200 [==============================] - 0s 1ms/step - loss: 299.2976 - mse: 299.2976 - val_loss: 306.6476 - val_mse: 306.6476\n", + "Epoch 57/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 298.0975 - mse: 298.0975 - val_loss: 305.5288 - val_mse: 305.5288\n", + "Epoch 58/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 296.8889 - mse: 296.8889 - val_loss: 304.3912 - val_mse: 304.3912\n", + "Epoch 59/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 295.5503 - mse: 295.5503 - val_loss: 302.9397 - val_mse: 302.9397\n", + "Epoch 60/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 294.0406 - mse: 294.0406 - val_loss: 301.3757 - val_mse: 301.3757\n", + "Epoch 61/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 292.4047 - mse: 292.4047 - val_loss: 299.7807 - val_mse: 299.7807\n", + "Epoch 62/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 290.7439 - mse: 290.7439 - val_loss: 298.0085 - val_mse: 298.0085\n", + "Epoch 63/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 288.9733 - mse: 288.9733 - val_loss: 295.9718 - val_mse: 295.9718\n", + "Epoch 64/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 286.9546 - mse: 286.9546 - val_loss: 293.9620 - val_mse: 293.9620\n", + "Epoch 65/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 284.9402 - mse: 284.9402 - val_loss: 291.8674 - val_mse: 291.8674\n", + "Epoch 66/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 282.6141 - mse: 282.6141 - val_loss: 289.6667 - val_mse: 289.6667\n", + "Epoch 67/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 280.3316 - mse: 280.3316 - val_loss: 287.3658 - val_mse: 287.3658\n", + "Epoch 68/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 277.9230 - mse: 277.9230 - val_loss: 284.8383 - val_mse: 284.8383\n", + "Epoch 69/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 275.3292 - mse: 275.3292 - val_loss: 282.3023 - val_mse: 282.3023\n", + "Epoch 70/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 272.6481 - mse: 272.6481 - val_loss: 279.4322 - val_mse: 279.4322\n", + "Epoch 71/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 269.8446 - mse: 269.8446 - val_loss: 276.6945 - val_mse: 276.6945\n", + "Epoch 72/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 266.9060 - mse: 266.9060 - val_loss: 273.4949 - val_mse: 273.4949\n", + "Epoch 73/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 263.6472 - mse: 263.6472 - val_loss: 270.0634 - val_mse: 270.0634\n", + "Epoch 74/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 260.2693 - mse: 260.2693 - val_loss: 266.6300 - val_mse: 266.6300\n", + "Epoch 75/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 256.6523 - mse: 256.6523 - val_loss: 262.6270 - val_mse: 262.6270\n", + "Epoch 76/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 253.0433 - mse: 253.0433 - val_loss: 258.7576 - val_mse: 258.7576\n", + "Epoch 77/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 249.2506 - mse: 249.2506 - val_loss: 254.3023 - val_mse: 254.3023\n", + "Epoch 78/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 245.2710 - mse: 245.2710 - val_loss: 249.7953 - val_mse: 249.7953\n", + "Epoch 79/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 241.0714 - mse: 241.0714 - val_loss: 244.8505 - val_mse: 244.8505\n", + "Epoch 80/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 236.7003 - mse: 236.7003 - val_loss: 239.8996 - val_mse: 239.8996\n", + "Epoch 81/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 232.0376 - mse: 232.0376 - val_loss: 234.6491 - val_mse: 234.6491\n", + "Epoch 82/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 227.3054 - mse: 227.3054 - val_loss: 228.9845 - val_mse: 228.9845\n", + "Epoch 83/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 222.3342 - mse: 222.3342 - val_loss: 223.5765 - val_mse: 223.5765\n", + "Epoch 84/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 217.2460 - mse: 217.2460 - val_loss: 217.7940 - val_mse: 217.7940\n", + "Epoch 85/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 212.0432 - mse: 212.0432 - val_loss: 212.2278 - val_mse: 212.2278\n", + "Epoch 86/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 206.5847 - mse: 206.5847 - val_loss: 206.6894 - val_mse: 206.6894\n", + "Epoch 87/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 201.2125 - mse: 201.2125 - val_loss: 200.9549 - val_mse: 200.9549\n", + "Epoch 88/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 195.6108 - mse: 195.6108 - val_loss: 195.0972 - val_mse: 195.0972\n", + "Epoch 89/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 190.0223 - mse: 190.0223 - val_loss: 189.3820 - val_mse: 189.3820\n", + "Epoch 90/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 184.3667 - mse: 184.3667 - val_loss: 183.5707 - val_mse: 183.5707\n", + "Epoch 91/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 178.7195 - mse: 178.7195 - val_loss: 177.6344 - val_mse: 177.6344\n", + "Epoch 92/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 172.9765 - mse: 172.9765 - val_loss: 171.8029 - val_mse: 171.8029\n", + "Epoch 93/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 167.3578 - mse: 167.3578 - val_loss: 166.0954 - val_mse: 166.0954\n", + "Epoch 94/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 161.8698 - mse: 161.8698 - val_loss: 160.4732 - val_mse: 160.4732\n", + "Epoch 95/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 156.5269 - mse: 156.5269 - val_loss: 154.9939 - val_mse: 154.9939\n", + "Epoch 96/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 151.2461 - mse: 151.2461 - val_loss: 149.4369 - val_mse: 149.4369\n", + "Epoch 97/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 145.9336 - mse: 145.9336 - val_loss: 144.2318 - val_mse: 144.2318\n", + "Epoch 98/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 140.8671 - mse: 140.8671 - val_loss: 139.0864 - val_mse: 139.0864\n", + "Epoch 99/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 135.8467 - mse: 135.8467 - val_loss: 133.9032 - val_mse: 133.9032\n", + "Epoch 100/100\n", + "200/200 [==============================] - 0s 2ms/step - loss: 130.8657 - mse: 130.8657 - val_loss: 129.0658 - val_mse: 129.0658\n" + ] + } + ], + "source": [ + "versions1 = model1.fit(X_train_data,y_train_data,validation_data=(X_train_validation,y_train_validation),epochs=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "MSE: 135.0410919189453\n" + ] + } + ], + "source": [ + "test_loss1, test_mse1 = model1.evaluate(X_test,y_test, verbose=3)\n", + "\n", + "print('\\nMSE:', test_mse1)" + ] + }, + { + "cell_type": "code", + "execution_count": 491, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 491, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "# Your code here\n", + "versions_df1 = pd.DataFrame(versions1.history)\n", + "versions_df1.describe()\n", + "versions_df1.loc[:,['mse', 'val_mse']].plot()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 492, + "metadata": {}, + "outputs": [], + "source": [ + "# Insert the function for R2 Score\n", + "import numpy as np\n", + "def r2_score(y_true, y_pred):\n", + " # return the r2 score\n", + " sum_square_regression = np.sum(np.dot(y_true-y_pred,y_true-y_pred))\n", + " total_sum_squares = np.sum(np.dot(y_true-np.mean(y_true),y_true-np.mean(y_true)))\n", + " return 1 - sum_square_regression/total_sum_squares\n", + " # pass # Uncomment this when you're done with this function" + ] + }, + { + "cell_type": "code", + "execution_count": 493, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9903140806417874" + ] + }, + "execution_count": 493, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_pred1 = model1.predict(X_test,verbose=3)\n", + "y_pred1 = np.squeeze(y_pred1)\n", + "r2_score(y_test,y_pred1)" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "CVusingTF_Assgn2.ipynb", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3.9.13 64-bit (windows store)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + }, + "vscode": { + "interpreter": { + "hash": "c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77" + } + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} From 9964943ec7c42c08a417a5406960adb6d1a1f778 Mon Sep 17 00:00:00 2001 From: TheTUFGuy Date: Sun, 26 Jun 2022 10:57:48 +0530 Subject: [PATCH 2/5] A3_200698 --- Assignment 3/A3_200698.ipynb | 531 +++++++++++++++++++++++++++++++++++ 1 file changed, 531 insertions(+) create mode 100644 Assignment 3/A3_200698.ipynb diff --git a/Assignment 3/A3_200698.ipynb b/Assignment 3/A3_200698.ipynb new file mode 100644 index 0000000..14e0ff4 --- /dev/null +++ b/Assignment 3/A3_200698.ipynb @@ -0,0 +1,531 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "VGHh_5UYzKpV" + }, + "source": [ + "# Assignment 3\n", + "\n", + " In this Assignment, we will use CNN to classify digits. \n", + "The `MNIST` database is a large database of handwritten digits that is commonly used for training various image processing systems.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JnsMbCPNzPAr" + }, + "source": [ + "## Importing TensorFlow" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "HRLTw3cMwvi7" + }, + "outputs": [], + "source": [ + "import tensorflow as tf" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6Ji7HGpgzSPi" + }, + "source": [ + "## Get the dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "oEW3KDEvzIHL" + }, + "outputs": [], + "source": [ + "# Import the dataset\n", + "\n", + "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "id": "F_sRU9dx_mYQ" + }, + "outputs": [], + "source": [ + "# Split the dataset\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "X_train,X_test,Y_train,Y_test=train_test_split(x_test,y_test,test_size=0.2)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "id": "rbt0WbW6sDVs", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "011de66c-771d-418d-a070-b54489c0a8a5" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(8000, 28, 28)" + ] + }, + "metadata": {}, + "execution_count": 16 + } + ], + "source": [ + "# Pre processing \n", + "X_train = X_train / 255.0\n", + "X_test = X_test / 255.0\n", + "X_train.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "EVpQheoVqoEG" + }, + "source": [ + "## Visualize the dataset\n", + "Print some images with labels." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "id": "yF1Nj63Bz9m7", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 608 + }, + "outputId": "af728bd3-94f5-4a9b-8001-325d00bfd093" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.figure(figsize=(20,10))\n", + "for i in range(50):\n", + " plt.subplot(5,10,i+1)\n", + " # plt.xticks([])\n", + " # plt.yticks([])\n", + " # plt.grid(False)\n", + " plt.imshow(X_train[i], cmap=plt.cm.binary)\n", + " plt.xlabel(Y_train[i])\n", + "plt.show()\n", + "\n", + "# Your code" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Rx8muKSIrKhe" + }, + "source": [ + "Plot statistics of the training and testing dataset \n", + "(`x axis`: digits, `y axis`: number of samples corresponding to the digits)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "id": "37kehTG_6Pi4", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 541 + }, + "outputId": "883890b7-f9c9-4903-9ef9-34fc1bd7db0d" + }, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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qiZkL7J5kLrAH8D8D1zMYQ2Fm84G7p7XXM0s+HKckWQQcBtw4bCUT8yngA8BTQxcyYYuBjcBnu6GzS5LsOXRRfauqDcAngLuAe4AHq+rrw1Y1HENBzyjJXsCXgfdU1UND19O3JMcD91XV6qFrGcBcYAlwUVUdBvwS2OWvoSXZl9HZ/2Lgd4E9k7xj2KqGYyjMbNZOv5HkuYwC4bKqunLoeibkaOCNSX7KaKjwmCT/OmxJE7MeWF9VU2eEKxmFxK7utcBPqmpjVT0BXAm8auCaBmMozGxWTr+RJIzGltdU1SeHrmdSqupDVbWgqhYx+n99fVXNir8aq+pe4O4kB3ddy4DbByxpUu4CjkyyR/fvfhmz4AL7b7PDTHOxo9pJpt/ow9HAycAPk9zS9X24qq4ZsCb1793AZd0fQOuAUweup3dVdWOSlcBNjO66u5lZPOWF01xIkhqHjyRJjaEgSWoMBUlSYyhIkhpDQZLUGArSVkjyZJJbuhk1/zvJ+5M8p1u3NMkFYxzjP7vfi5K8ve+apa3hLanSVkjySFXt1S2/CPg34LtVde42HOs1wF9X1fHbt0pp23mmIG2jqroPWA6cmZHXTH3/QpJ5Sb7RnVFckuTOJPt36x7pDnEe8Efdmcd7h3kX0m8yFKRnoarWMXrS/UWbrTqX0RQZL2c0h9CBW9j9HODbVXVoVZ3fb6XSeJzmQurHHwJvAqiqa5PcP3A90lg8U5CehSQvAZ4E7hu6Fml7MBSkbZRkHvDPwGfq6XdsfBd4a7fdscC+WzjEw8ALei1S2kqGgrR1dp+6JRX4JvB14KNb2O6jwLFJbgXeAtzLKASm+wHwZHdrqxeatUPwllSpB0meDzzZTb1+FKNvMzt06LqkmXihWerHgcAXuwfbHgdOH7geaSyeKUiSGq8pSJIaQ0GS1BgKkqTGUJAkNYaCJKn5f/HxYb8wwc+pAAAAAElFTkSuQmCC\n" + }, + "metadata": { + "needs_background": "light" + } + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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VxrPBaxiExK7uD4DvV9W6qvolcC3wsp5r6o2hMLupHXojSRj0L99bVR/tu55JqKr3VtXBVbWIwf/rr1TVVPzVWFUPAw8meUHXtAS4p8eSJuUHwLFJ9uz+zS9hCi6wb8m8GuZiPtoJht4Yp5cDpwPfSXJH1/a+qrqhx5o0Xn8JXNH9AbQKOLPnesauqm5Lcg1wO4M77r7NFA954TAXkqTG7iNJUmMoSJIaQ0GS1BgKkqTGUJAkNYaCtA2SbEhyRzei5n8leVeSZ3TLFie5cITv+I/uc1GS14+7ZmlbeEuqtA2SPF5Ve3fT+wOfAb5RVefP4buOA/6qql6zY6uU5s4zBWmOqmotsBQ4NwPHbXz/QpKZJDd3ZxSfSPJAkv26ZY93X3EB8Hvdmcc7+zkK6f8zFKTtUFWrGDzpvv8mi85nMETGixmMIXTIZjZfBny9qo6oqo+Nt1JpNA5zIY3HK4DXAlTVjUke7bkeaSSeKUjbIcnzgQ3A2r5rkXYEQ0GaoyQzwD8B/1hPv2PjG8Cp3XonAPtu5ivWA/uMtUhpGxkK0rbZY+MtqcCXgZuAD2xmvQ8AJyS5C/gz4GEGITDsTmBDd2urF5o1L3hLqjQGSZ4NbOiGXn8pg7eZHdF3XdJsvNAsjcchwNXdg22/AM7uuR5pJJ4pSJIarylIkhpDQZLUGAqSpMZQkCQ1hoIkqfk/LOghsxXy3VEAAAAASUVORK5CYII=\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "import numpy as np\n", + "unique, counts = np.unique(Y_train, return_counts=True)\n", + "plt.bar(unique,counts)\n", + "plt.xlabel('Digit')\n", + "plt.ylabel('Occurences')\n", + "plt.show()\n", + "unique, counts = np.unique(Y_test, return_counts=True)\n", + "plt.bar(unique,counts)\n", + "plt.xlabel('Digit')\n", + "plt.ylabel('Occurences')\n", + "plt.show()\n", + "\n", + "# Your code" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kWlpCWdAr8d3" + }, + "source": [ + "## Model" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "id": "1L07EyQ0Yion" + }, + "outputs": [], + "source": [ + "# model building\n", + "\n", + "# You are supposed to look at some CNN architectures and add convolutional layers along with MaxPooling, specifying the kernel size, pooling size, activation \n", + "model = tf.keras.Sequential([\n", + " # tf.keras.layers.Rescaling(1./255, input_shape=(img_height, img_width, 3)),\n", + " tf.keras.layers.Conv2D(32,(3,3),activation='relu',input_shape=(28,28,1)),\n", + " tf.keras.layers.MaxPooling2D((2,2)),\n", + " tf.keras.layers.Conv2D(64,(3,3),activation='relu'),\n", + " tf.keras.layers.MaxPooling2D((2,2)),\n", + " tf.keras.layers.Dropout(0.1),\n", + " tf.keras.layers.Flatten(),\n", + " tf.keras.layers.Dense(128),\n", + " tf.keras.layers.Dropout(0.1),\n", + " tf.keras.layers.Dense(10)\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "id": "nKEZ8cbO9JVV", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "eb2b2835-f499-40f9-906d-d13495e75f9e" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/50\n", + "200/200 [==============================] - 1s 5ms/step - loss: 0.4453 - accuracy: 0.8603 - val_loss: 0.1573 - val_accuracy: 0.9513\n", + "Epoch 2/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.1087 - accuracy: 0.9673 - val_loss: 0.1410 - val_accuracy: 0.9594\n", + "Epoch 3/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0672 - accuracy: 0.9783 - val_loss: 0.1251 - val_accuracy: 0.9625\n", + "Epoch 4/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0445 - accuracy: 0.9861 - val_loss: 0.0698 - val_accuracy: 0.9769\n", + "Epoch 5/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0317 - accuracy: 0.9883 - val_loss: 0.0632 - val_accuracy: 0.9812\n", + "Epoch 6/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0272 - accuracy: 0.9894 - val_loss: 0.0766 - val_accuracy: 0.9744\n", + "Epoch 7/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0198 - accuracy: 0.9934 - val_loss: 0.0717 - val_accuracy: 0.9844\n", + "Epoch 8/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0245 - accuracy: 0.9922 - val_loss: 0.0772 - val_accuracy: 0.9806\n", + "Epoch 9/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0186 - accuracy: 0.9937 - val_loss: 0.0757 - val_accuracy: 0.9825\n", + "Epoch 10/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0100 - accuracy: 0.9970 - val_loss: 0.0665 - val_accuracy: 0.9844\n", + "Epoch 11/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0118 - accuracy: 0.9953 - val_loss: 0.0694 - val_accuracy: 0.9831\n", + "Epoch 12/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0112 - accuracy: 0.9956 - val_loss: 0.0782 - val_accuracy: 0.9831\n", + "Epoch 13/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0137 - accuracy: 0.9948 - val_loss: 0.0734 - val_accuracy: 0.9831\n", + "Epoch 14/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0073 - accuracy: 0.9972 - val_loss: 0.0884 - val_accuracy: 0.9787\n", + "Epoch 15/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0120 - accuracy: 0.9959 - val_loss: 0.1157 - val_accuracy: 0.9756\n", + "Epoch 16/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0137 - accuracy: 0.9966 - val_loss: 0.0879 - val_accuracy: 0.9775\n", + "Epoch 17/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0100 - accuracy: 0.9966 - val_loss: 0.0763 - val_accuracy: 0.9837\n", + "Epoch 18/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0083 - accuracy: 0.9980 - val_loss: 0.0808 - val_accuracy: 0.9794\n", + "Epoch 19/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9992 - val_loss: 0.0827 - val_accuracy: 0.9856\n", + "Epoch 20/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0042 - accuracy: 0.9984 - val_loss: 0.0838 - val_accuracy: 0.9850\n", + "Epoch 21/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0165 - accuracy: 0.9948 - val_loss: 0.0821 - val_accuracy: 0.9781\n", + "Epoch 22/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0017 - accuracy: 0.9995 - val_loss: 0.0689 - val_accuracy: 0.9856\n", + "Epoch 23/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0012 - accuracy: 0.9998 - val_loss: 0.0787 - val_accuracy: 0.9862\n", + "Epoch 24/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0123 - accuracy: 0.9962 - val_loss: 0.1063 - val_accuracy: 0.9794\n", + "Epoch 25/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0123 - accuracy: 0.9961 - val_loss: 0.0735 - val_accuracy: 0.9831\n", + "Epoch 26/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0044 - accuracy: 0.9986 - val_loss: 0.0679 - val_accuracy: 0.9869\n", + "Epoch 27/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0023 - accuracy: 0.9991 - val_loss: 0.0773 - val_accuracy: 0.9837\n", + "Epoch 28/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9992 - val_loss: 0.0624 - val_accuracy: 0.9875\n", + "Epoch 29/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0034 - accuracy: 0.9989 - val_loss: 0.0617 - val_accuracy: 0.9850\n", + "Epoch 30/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0131 - accuracy: 0.9955 - val_loss: 0.0605 - val_accuracy: 0.9856\n", + "Epoch 31/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0032 - accuracy: 0.9989 - val_loss: 0.0719 - val_accuracy: 0.9806\n", + "Epoch 32/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0059 - accuracy: 0.9975 - val_loss: 0.1028 - val_accuracy: 0.9806\n", + "Epoch 33/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0067 - accuracy: 0.9981 - val_loss: 0.0602 - val_accuracy: 0.9881\n", + "Epoch 34/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0053 - accuracy: 0.9983 - val_loss: 0.0543 - val_accuracy: 0.9869\n", + "Epoch 35/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9995 - val_loss: 0.0561 - val_accuracy: 0.9862\n", + "Epoch 36/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 5.2755e-04 - accuracy: 0.9998 - val_loss: 0.0501 - val_accuracy: 0.9875\n", + "Epoch 37/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 3.0179e-04 - accuracy: 1.0000 - val_loss: 0.0515 - val_accuracy: 0.9887\n", + "Epoch 38/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0011 - accuracy: 0.9997 - val_loss: 0.0604 - val_accuracy: 0.9875\n", + "Epoch 39/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 3.8427e-04 - accuracy: 1.0000 - val_loss: 0.0611 - val_accuracy: 0.9887\n", + "Epoch 40/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0181 - accuracy: 0.9948 - val_loss: 0.1390 - val_accuracy: 0.9775\n", + "Epoch 41/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0176 - accuracy: 0.9952 - val_loss: 0.0773 - val_accuracy: 0.9844\n", + "Epoch 42/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0028 - accuracy: 0.9989 - val_loss: 0.0757 - val_accuracy: 0.9850\n", + "Epoch 43/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0074 - accuracy: 0.9981 - val_loss: 0.1649 - val_accuracy: 0.9787\n", + "Epoch 44/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0131 - accuracy: 0.9958 - val_loss: 0.1181 - val_accuracy: 0.9775\n", + "Epoch 45/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0024 - accuracy: 0.9991 - val_loss: 0.0637 - val_accuracy: 0.9894\n", + "Epoch 46/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0012 - accuracy: 0.9995 - val_loss: 0.0812 - val_accuracy: 0.9800\n", + "Epoch 47/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0060 - accuracy: 0.9984 - val_loss: 0.1114 - val_accuracy: 0.9837\n", + "Epoch 48/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0022 - accuracy: 0.9992 - val_loss: 0.0723 - val_accuracy: 0.9862\n", + "Epoch 49/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0089 - accuracy: 0.9967 - val_loss: 0.0734 - val_accuracy: 0.9856\n", + "Epoch 50/50\n", + "200/200 [==============================] - 1s 4ms/step - loss: 0.0043 - accuracy: 0.9989 - val_loss: 0.0692 - val_accuracy: 0.9856\n" + ] + } + ], + "source": [ + "# Compile the model (add optimizers and metrics)\n", + "model.compile(optimizer='adam', loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=['accuracy'])\n", + "# Fit the model on the training data (specify validation_split, read about validation if new to you)\n", + "history = model.fit(X_train,Y_train,epochs=50,validation_split=0.2)" + ] + }, + { + "cell_type": "code", + "source": [ + "plt.plot(history.history['accuracy'], label='accuracy')\n", + "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Accuracy')\n", + "plt.ylim([0.85, 1.05])\n", + "plt.legend(loc='lower right')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 301 + }, + "id": "xIRCik3jXc0Y", + "outputId": "73c6716a-ea59-4688-881f-e1abd57111fc" + }, + "execution_count": 26, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 26 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ml1Kna_DuJrL" + }, + "source": [ + "## Predict some images\n", + "Print the image along with its label (true value) and predicted value." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "id": "qioZul7_uiYq", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "fa674530-7300-4012-d473-01660e69af36" + }, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(2000, 10)" + ] + }, + "metadata": {}, + "execution_count": 41 + } + ], + "source": [ + "# Your code\n", + "y_pred = model.predict(X_test)\n", + "y_pred.shape" + ] + }, + { + "cell_type": "code", + "source": [ + "arr=[]\n", + "for i in range(2000):\n", + " n=np.where(y_pred[i]==max(y_pred[i]))\n", + " arr.append(n)\n", + "# Your code\n", + "plt.figure(figsize=(20,20))\n", + "for i in range(100):\n", + " plt.subplot(10,10,i+1)\n", + " plt.xticks([])\n", + " plt.imshow(X_test[i],cmap=plt.cm.binary)\n", + " if(Y_test[i]==arr[i][0]):\n", + " plt.xlabel(f\"{Y_test[i]}--->{arr[i][0]}\",color='g')\n", + " else:\n", + " plt.xlabel(f\"{Y_test[i]}--->{arr[i][0]}\",color='r')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "JFDQ-di8csxF", + "outputId": "efb3afca-4c81-42f4-f001-e080a0582189" + }, + "execution_count": 62, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "name": "A3_200698.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "gpuClass": "standard", + "kernelspec": { + "display_name": "Python 3.9.13 64-bit (windows store)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + }, + "vscode": { + "interpreter": { + "hash": "c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77" + } + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file From a45ba8480ffbce89aefdbe1d1c9585af571f4471 Mon Sep 17 00:00:00 2001 From: TheTUFGuy Date: Sat, 16 Jul 2022 10:32:09 +0530 Subject: [PATCH 3/5] A4_200698 --- Final Task/A4_200698.ipynb | 1 + 1 file changed, 1 insertion(+) create mode 100644 Final Task/A4_200698.ipynb diff --git a/Final Task/A4_200698.ipynb b/Final Task/A4_200698.ipynb new file mode 100644 index 0000000..2da8b7f --- /dev/null +++ b/Final Task/A4_200698.ipynb @@ -0,0 +1 @@ +{"cells":[{"cell_type":"markdown","metadata":{"id":"rtI19Rt-H7Uc"},"source":["## Final Task:\n","This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. "]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":5365,"status":"ok","timestamp":1657912482192,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"c2CiXcHQTbX8"},"outputs":[],"source":["import tensorflow as tf"]},{"cell_type":"markdown","metadata":{"id":"QKDPyiZTIm1c"},"source":["### Loading the dataset\n","Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly."]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17205,"status":"ok","timestamp":1657912501743,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"hNEMe7XsIjrK","outputId":"1ae7957d-cab2-4a00-d8c1-f1632ef3fca4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/drive\n"]}],"source":["# Mount Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":3,"status":"ok","timestamp":1657912501743,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"8CXzo4MOJOl8"},"outputs":[],"source":["import pathlib\n","\n","path='/content/drive/MyDrive/Mask_Dataset/'\n","data_dir = pathlib.Path(path)"]},{"cell_type":"markdown","metadata":{"id":"YHPHkGyDKscK"},"source":["### Know the Dataset\n","Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit."]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10275,"status":"ok","timestamp":1657912512015,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"PzbSy-vXKjD-","outputId":"aeea5e4e-44a8-47f1-9726-22941939ba52"},"outputs":[{"name":"stdout","output_type":"stream","text":["8982\n"]}],"source":["# Print image count\n","image_count = len(list(data_dir.glob('*/*.png')))\n","print(image_count)"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1657912512015,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"rFHWFYj5NCVm","outputId":"cf9b6eaf-41a0-4427-e8ed-bcc6910695bd"},"outputs":[{"name":"stdout","output_type":"stream","text":["['with_mask', 'mask_weared_incorrect', 'without_mask']\n"]}],"source":["# Print Output Labels\n","import os\n","output_classes = os.listdir(data_dir)\n","print(output_classes)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":791,"status":"ok","timestamp":1657887008730,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"fESyMw90KaxN","outputId":"0912a6e9-e97d-464e-c08e-96e167b928c2"},"outputs":[{"name":"stdout","output_type":"stream","text":["[2994, 2994, 2994]\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAX0AAAEJCAYAAAB4yveGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAYWklEQVR4nO3dedRlVZ3e8e/TDEKUUapZCCwLtdQUNpZYIrZooyggnTSaKIJGwNBdophWW1vRGMGBdpbEVrGxqYCJSuNcIhFKxKA2UzFTIFICBlgIpYyK0IK//HH2216Ld6qqt94C9vez1l333H323mefOzz33H2nVBWSpD780foegCRp9hj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfSl1ZDk1UnOWMO2y5PsOcNDklZL/Jy+HmmS7AF8BNgZeAC4Cnhzu/yXVbXHNPuZC1wHbFRV96/mGE4Ebqyqd69OO2ld23B9D0CaSUk2B04FXg+cAmwMPA+4b32OS3qocHpHjzRPBqiqL1XVA1X1m6o6A/gt8FngOUl+leQOgCR/nuTiJHcluSHJ0SN9nd3O72htnpPk0CQ/bG2T5Ngkt7b2lyd5WpJFwKuBt7d232r1r0/yora8QZJ3JflpkruTXJhkx4n6nI0rTn3wSF+PND8BHkhyEnAycG5V3V5VVyU5nAdP7/waOBhYDjwNWJrkkqr6BvB8humdLcemd5I8ZaTt3q3Ok4E7gacCd1TV8Un+lMmnd/4GOAjYr415F+Ceifpcq2tEGuGRvh5RquouYA+ggM8BK5MsSbLtBPW/X1WXV9Xvquoy4EvAn01zc78FNmMI5lTVVVV18zTb/iXw7qq6ugaXVtUv17JPaUqGvh5xWlAeWlU7MBy9Pw747+PVTfLsJGclWZnkTuBwYJtpbud7wKeATwO3Jjm+vacwHTsCP53hPqUpGfp6RKuqHwMnMoT/eB9V+yKwBNixqrZgmPfPWPNp9P/JqnomMJ9hSuZvp9n2BuCJq9mntNYMfT2iJHlqkrcm2aFd3pFh7vxc4BZghyQbjzTZDLitqu5NshvwqpF1K4HfAU+YYFvPaq8UNmJ4b+DeVp+2rXHbNf8IvD/JvPbm7S5JHjtFn9JaM/T1SHM38GzgvCS/Zgj7K4C3At9jeMP250l+0eq/AXhfkruB9zB8zBOAqroHOAb4UZI7kuy+yrY2Z3jf4HbgZ8AvgY+2dScA81u7b4wzzk+0bZ0B3NXqbzpFn9Ja88tZktQRj/QlqSOGviR1xNCXpI4Y+pLUkYf0zzBss802NXfu3PU9DEl6WLnwwgt/UVVzxlv3kA79uXPnsmzZsvU9DEl6WEnys4nWOb0jSR0x9CWpI4a+JHXE0Jekjhj6ktSRKUM/ySZJzk9yaZLlSd7byndKcl6SFUn+aeyXC5M8ql1e0dbPHenrna386iT7rKudkiSNbzpH+vcBL6yqpwMLgH3brw1+GDi2qp7E8IuAh7X6hwG3t/JjWz2SzAcOBHYG9gU+k2SDmdwZSdLkpgz99lduv2oXN2qnAl4IfKWVnwS8tC3v3y7T1u+VJK385Kq6r6quA1YAu83IXkiSpmVac/pJNkhyCXArsJThb97uGPuzaOBGYPu2vD3DvwLR1t8JPHa0fJw2o9talGRZkmUrV65c/T2SJE1oWt/IraoHgAVJtgS+zvCnzetEVR0PHA+wcOHCtfqx/7lHfntGxqQHu/5Dfz7jfXp7rTvr4vYCb7N1aV3dZqv16Z2qugM4C3gOsGWSsSeNHYCb2vJNDH/6TFu/BcO///xr+ThtJEmzYDqf3pnTjvBJsinwYuAqhvB/eat2CPDNtrykXaat/14Nf8+1BDiwfbpnJ2AecP5M7YgkaWrTmd7ZDjipfdLmj4BTqurUJFcCJyf5AHAxw3980s7/V5IVwG0Mn9ihqpYnOQW4ErgfOKJNG0mSZsmUoV9VlwHPGKf8Wsb59E1V3Qu8YoK+jmH4o2lJ0nrgN3IlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1ZMrQT7JjkrOSXJlkeZI3tfKjk9yU5JJ22m+kzTuTrEhydZJ9Rsr3bWUrkhy5bnZJkjSRDadR537grVV1UZLNgAuTLG3rjq2qj41WTjIfOBDYGXgc8N0kT26rPw28GLgRuCDJkqq6ciZ2RJI0tSlDv6puBm5uy3cnuQrYfpIm+wMnV9V9wHVJVgC7tXUrqupagCQnt7qGviTNktWa008yF3gGcF4remOSy5IsTrJVK9seuGGk2Y2tbKLyVbexKMmyJMtWrly5OsOTJE1h2qGf5DHAV4E3V9VdwHHAE4EFDK8EPj4TA6qq46tqYVUtnDNnzkx0KUlqpjOnT5KNGAL/C1X1NYCqumVk/eeAU9vFm4AdR5rv0MqYpFySNAum8+mdACcAV1XVJ0bKtxup9jLgira8BDgwyaOS7ATMA84HLgDmJdkpycYMb/YumZndkCRNx3SO9J8LvAa4PMklrexdwEFJFgAFXA+8DqCqlic5heEN2vuBI6rqAYAkbwROBzYAFlfV8hncF0nSFKbz6Z0fAhln1WmTtDkGOGac8tMmaydJWrf8Rq4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdWTK0E+yY5KzklyZZHmSN7XyrZMsTXJNO9+qlSfJJ5OsSHJZkl1H+jqk1b8mySHrbrckSeOZzpH+/cBbq2o+sDtwRJL5wJHAmVU1DzizXQZ4CTCvnRYBx8HwJAEcBTwb2A04auyJQpI0O6YM/aq6uaouast3A1cB2wP7Aye1aicBL23L+wOfr8G5wJZJtgP2AZZW1W1VdTuwFNh3RvdGkjSp1ZrTTzIXeAZwHrBtVd3cVv0c2LYtbw/cMNLsxlY2UbkkaZZMO/STPAb4KvDmqrprdF1VFVAzMaAki5IsS7Js5cqVM9GlJKmZVugn2Ygh8L9QVV9rxbe0aRva+a2t/CZgx5HmO7Syicr/QFUdX1ULq2rhnDlzVmdfJElTmM6ndwKcAFxVVZ8YWbUEGPsEziHAN0fKD26f4tkduLNNA50O7J1kq/YG7t6tTJI0SzacRp3nAq8BLk9ySSt7F/Ah4JQkhwE/Aw5o604D9gNWAPcArwWoqtuSvB+4oNV7X1XdNiN7IUmalilDv6p+CGSC1XuNU7+AIyboazGweHUGKEmaOX4jV5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkemDP0ki5PcmuSKkbKjk9yU5JJ22m9k3TuTrEhydZJ9Rsr3bWUrkhw587siSZrKdI70TwT2Haf82Kpa0E6nASSZDxwI7NzafCbJBkk2AD4NvASYDxzU6kqSZtGGU1WoqrOTzJ1mf/sDJ1fVfcB1SVYAu7V1K6rqWoAkJ7e6V672iCVJa2xt5vTfmOSyNv2zVSvbHrhhpM6NrWyi8gdJsijJsiTLVq5cuRbDkyStak1D/zjgicAC4Gbg4zM1oKo6vqoWVtXCOXPmzFS3kiSmMb0znqq6ZWw5yeeAU9vFm4AdR6ru0MqYpFySNEvW6Eg/yXYjF18GjH2yZwlwYJJHJdkJmAecD1wAzEuyU5KNGd7sXbLmw5YkrYkpj/STfAnYE9gmyY3AUcCeSRYABVwPvA6gqpYnOYXhDdr7gSOq6oHWzxuB04ENgMVVtXzG90aSNKnpfHrnoHGKT5ik/jHAMeOUnwactlqjkyTNKL+RK0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdmTL0kyxOcmuSK0bKtk6yNMk17XyrVp4kn0yyIsllSXYdaXNIq39NkkPWze5IkiYznSP9E4F9Vyk7EjizquYBZ7bLAC8B5rXTIuA4GJ4kgKOAZwO7AUeNPVFIkmbPlKFfVWcDt61SvD9wUls+CXjpSPnna3AusGWS7YB9gKVVdVtV3Q4s5cFPJJKkdWxN5/S3raqb2/LPgW3b8vbADSP1bmxlE5VLkmbRWr+RW1UF1AyMBYAki5IsS7Js5cqVM9WtJIk1D/1b2rQN7fzWVn4TsONIvR1a2UTlD1JVx1fVwqpaOGfOnDUcniRpPGsa+kuAsU/gHAJ8c6T84PYpnt2BO9s00OnA3km2am/g7t3KJEmzaMOpKiT5ErAnsE2SGxk+hfMh4JQkhwE/Aw5o1U8D9gNWAPcArwWoqtuSvB+4oNV7X1Wt+uawJGkdmzL0q+qgCVbtNU7dAo6YoJ/FwOLVGp0kaUb5jVxJ6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdWavQT3J9ksuTXJJkWSvbOsnSJNe0861aeZJ8MsmKJJcl2XUmdkCSNH0zcaT/gqpaUFUL2+UjgTOrah5wZrsM8BJgXjstAo6bgW1LklbDupje2R84qS2fBLx0pPzzNTgX2DLJdutg+5KkCaxt6BdwRpILkyxqZdtW1c1t+efAtm15e+CGkbY3trI/kGRRkmVJlq1cuXIthydJGrXhWrbfo6puSvLHwNIkPx5dWVWVpFanw6o6HjgeYOHChavVVpI0ubU60q+qm9r5rcDXgd2AW8ambdr5ra36TcCOI813aGWSpFmyxqGf5NFJNhtbBvYGrgCWAIe0aocA32zLS4CD26d4dgfuHJkGkiTNgrWZ3tkW+HqSsX6+WFXfSXIBcEqSw4CfAQe0+qcB+wErgHuA167FtiVJa2CNQ7+qrgWePk75L4G9xikv4Ig13Z4kae35jVxJ6oihL0kdMfQlqSOGviR1xNCXpI4Y+pLUEUNfkjpi6EtSRwx9SeqIoS9JHTH0Jakjhr4kdcTQl6SOGPqS1BFDX5I6YuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjhj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdmfXQT7JvkquTrEhy5GxvX5J6Nquhn2QD4NPAS4D5wEFJ5s/mGCSpZ7N9pL8bsKKqrq2qfwFOBvaf5TFIUrc2nOXtbQ/cMHL5RuDZoxWSLAIWtYu/SnL1LI1tfdsG+MX6HsR05cPrewQPCQ+b28zb61/1cps9fqIVsx36U6qq44Hj1/c4ZluSZVW1cH2PQ9Pnbfbw4202+9M7NwE7jlzeoZVJkmbBbIf+BcC8JDsl2Rg4EFgyy2OQpG7N6vROVd2f5I3A6cAGwOKqWj6bY3gI625K6xHA2+zhp/vbLFW1vscgSZolfiNXkjpi6EtSRwx9SeqIob+WkpyWZMt2esNI+Z5JTl3PY7s+yTbrcwwzIcncJFes73GsjiSHJvnUJOsPT3LwbI5pdSRZkGS/WdrWOn8Mtb7+dCb6Ws3tnpjk5bO93ckY+mupqvarqjuALYE3TFVfD2/t96PWWlV9tqo+PxN9jWfVca7BuBcAsxL6s/QY2hOY9dB/KDL0p5Dkb5P8dVs+Nsn32vILk3xh5Gj6Q8ATk1yS5KOt+WOSfCXJj1vdTLKd65N8sLVflmTXJKcn+WmSw1udxyQ5M8lFSS5Psn8rf3SSbye5NMkVSV65St+bJvk/Sf5qHVxF4+3L3LbPJyb5Sdv3FyX5UZJrkuzWTuckuTjJPyd5Smu7c5Lz2/VwWZJ5q/T9hNbmWRNs+9tJdmnLFyd5T1t+39j+t9v0gtb/e0fafiPJhUmWt58DGSv/VZKPJ7kUeE6S/zQyxn8YC9Qkr237ez7w3Cmuo6OTvK0tfz/Jh1ufP0nyvFa+QZKPtdv0siT/pZXv1fbt8iSLkzyqlV/f+rkIeMU4l/du1/lFSb6c5DGt3bPabXBpG8MWwPuAV7Z9fOV4+zBd6+IxNMV1sE1bXtiu27nA4cBbWt/Pm2CcJyY5Lsm5Sa7N8OpgcZKrkpw4Uu+4DI/R5avcfz6U5Mp2W31snP7f37YxIwcOa6yqPE1yAnYHvtyWfwCcD2wEHAW8Drie4fc85gJXjLTbE7iT4VvHfwScA+wxyXauB17flo8FLgM2A+YAt7TyDYHN2/I2wAogwH8EPjfS1xYjfc4FvgscPIvX2VzgfuBP2r5fCCxuY90f+AawObBhq/8i4Ktt+e+BV7fljYFNx65b4CnAxcDTJ9n2kcARwBYMXwY8vZWf1drvzfBZ7bSxnQo8v9XZup1v2rb32Ha5gAPa8r8FvgVs1C5/BjgY2A74f+322hj4EfCpScZ5NPC2tvx94ONteT/gu2359cBXRq6nrYFNGH6/6smt7PPAm0du77evcp96+8j95Wzg0e3yO4D3tLFeCzyrlW/e7meHTjb+9fkYmsZ1sE1bXgh8f9Xre5JxnsjwI5Bj99O7+MP78IJV7icbtNtuF+CxwNX8/mPwW470+XLgo8Bnx9avz5NH+lO7EHhmks2B+xjueAuB5zHcgSdzflXdWFW/Ay5huFNPZuzbyZcD51XV3VW1ErgvyZYMd8a/S3IZQ5BvD2zb6r+4HdU9r6ruHOnzm8D/rHU4lTCB66rq8rbvy4Eza3gUXM5wPWwBfDnDXP2xwM6t3TnAu5K8A3h8Vf2mlc9h2JdXV9Wlk2z3B8DzGY60v81wpPhvgJ2q6mqG0N+b4cnjIuCpwNirib9uR/PnMvxcyFj5A8BX2/JewDOBC5Jc0i4/geGHA79fVStr+AXZf1qtawu+1s4v5Pf3kxcB/1BV9wNU1W0MT1zXVdVPWp2T2v6OWXW7Y5d3Z/g58x+1cR/C8KNcTwFurqoL2jbuGtveDJrpx9BU18Ha+NbI/fSWVe7Dc1udA9qrp4sZ7rfzGZ6c7gVOSPIfgHtG+vxvDAdih7e+1ytDfwpV9VvgOoYjn39muJO+AHgScNUUze8bWX6Aqb8BPVb/d6u0/V1r+2qG8HtmVS0AbgE2aXf+XRnuqB8Ym9JofgTsO/ayeBatOv7RfdsQeD9wVlU9Dfj3DEdvVNUXgb8AfgOcluSFrd2dDEfSe0yx3Qv4faCczfDA/CuG4IHhifODVbWgnZ5UVSck2ZMhZJ9TVU9v7TZpbe6tqgdG2p800v4pVXX0dK+USYxdP9O5n0zm1xNcDrB0ZNzzq+qwtdjOtM3yY+h+fp9rm0xWcYrtjfsYTLIT8DZgr6raheHAYpP2RLkbwyuzfwd8Z6TtBQxPeluvwXhmnKE/PT9guKHPbsuHAxev8qx9N8N0zLq0BXBrVf02yQtoP5+a5HHAPVX1vxleRu460uY9wO0Mf17zULIFv/+xvUPHCpM8Abi2qj7JcGS/S1v1L8DLgIOTvGqiTttR9g3AKxiOKEdvOxh+AuQ/j8xnb5/kj9t4bq+qe5I8leHIeDxnAi9vbUiydZLHA+cBf5bksUk2attfW0uB1yXZcGxbDFMIc5M8qdV5DfB/p9HXucBzx9pleB/oya2/7dLeI0myWdveTN+fZ/IxNNl1cD3DKzEYpj1Xt++pbM7wRHpnkm0Z/hCKdn/aoqpOA94CPH2kzXcY3q/4dpJ1nRFTMvSn5wcMc7bnVNUtDC/j/uBlaVX9kuGl8xUjb0LNtC8AC5NczjCP/ONW/ifA+e1l+1HAB1Zp9yZg0yQfWUfjWhMfAT6Y5GL+8OjtAOCKti9PY5ivBaCqfs1wFPWWJH8xSd8/YHhy/E1b3qGdU1VnAF8EzmnX41cYwuA7DEdyVzE8QM8dr+OquhJ4N3BGm2ZbCmxXVTczzBufw/Dqaqoj2On4R4ZXN5e1aadXVdW9wGsZpsYuZzgC/exUHbVpwkOBL7VxnwM8tT1JvhL4+7aNpQxHyGcB82fijdxmxh5DU1wH7wX+R5JlDK8MxnwLeNlkb+ROR5tavJjhsfdFhtsahvvQqe26/SHwN6u0+zLwOWBJkk3XdPszwd/ekaSOeKQvSR15yP1z1iNdkq8DO61S/I6qOn19jOfhKsk+wKp/KHddVb1sfYxnIkn+Kw+e3/9yVR2zPsYjbxOndySpI07vSFJHDH1J6oihL0kdMfQlqSP/HyE+zs3K9BSrAAAAAElFTkSuQmCC","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot count of each ouput label\n","import matplotlib.pyplot as plt\n","\n","count=[]\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," count.append(len(im_count))\n","\n","print(count)\n","\n","plt.bar(output_classes,count)\n","plt.title(\"Statistics\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1657887012555,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"HDSJ2Zk5a14s","outputId":"69271907-6da7-406c-dfeb-fc5452808a48"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABQlUlEQVR4nH292YIcSa4deLCYu0eSrEUPGt2nmZf5/9+SrrqqSGZGhLubAZgHwDySLWnY2ayqZDLCwxYsBwcH9H//P/8vABAIICKAAESEe7i7m7tHREQgfxExC4uoiAgzEUWEm7u5uYV7RIACQCAAoP5m5PcIAYAQRCBEvh8RhEAEJqovJibg+iaTMDETgHCzMUbvvffRu9lw80BQPpqwaP2SpirCxEQgIhAFKCIcCICZWVTzcxAHwszGMDNDIB9CVdvS1m273W7btq3btq3rsq6qyswAPPw8+8fjfn88eh/Luv7555//9b/+X//x3/7jP/7jP/7rf/tvf/zx5+3tTVsjIos4juN+f3x8fDyfz957AAzEtVb/v79ee4C4lvXffqReJl6v9+///N/+ok+//9v3ab7ffJH45U8JBPr06/qPOlL5c3TtwHyb/+UdY77JLw8a1/HJT//vn/rzOfs/fCpEXAe4Xu51lgnQ67UiCAiiubwRueZRL4EIjyDmeR1+eZqI8Ai/bgBF3aX5dnXwr4Xj1woi14aIGGCACZwneu4B1dsFAIpggjBBhRDCHO75eZjzWM+DrSoi146AyCM44BEOEBHlkrhHfqpwRNBcLISHU5i5WbiH21xLrx8Gyj6453LNoxe1+pG2xM2M3D3C3SNARMwszAA0XwhIW1KfdC4nrlXNNwLgHqpwj/xoTOQxd8DNzfIR5oeOTwctv/9a02v1a90Bzp0o05RPAwLgCILnkgGEUOZc/uu0EZV1ZGEREREWYWbKtwnkp7E0rRGRFyI8PM8Wwj3mxwxEOAEwIhvDxvBhUTsR4Z521qeZdjd3S/NGZcCYmXJZokcAjrAxIpyJVCVXXKdp+XRig+ZOe+1Evn7kUzsRiQQAJmYmwN0Q4W5mNiLiZQpwXfl4XXgiilr9vAdM9XWt/nWv6pmoriNdXkGISfMcMTFxrj/nFtS3icqTIBzl1czNjCw3AQEPhwNUHzX8k+dyc0eEiAxVay2XOuooU2CujJmZuXleBSYSYRVhYSKYmUc3j8hXdCcmVWUOIF43oM5EEBDuqJ2OugHmbuYRYCZmdvd5zGl6bXMfbiMXii/fRwjE5eRfZ5+IaZ56QECvC0Egym0ISu8dnkYQBGYSFRVpqk1bayp10mv9meWzH0grmks/zM14kLHZQJ7cMrD/FmoAkZ8R7oPZVG0MNwubN4DII+xa+7wB7oggyqPJTBQRlqHCMFAFJ0xEqrnTOt80Xl7j5Tgi/LUH0wrxfOj0DHnL5tmyER5MFMFRoUyddCZiCibKJZaKedIEkfBnfxD8cmNEFOWI4AQISRNeVNd1Wdd1XRZVZWGeLiB3HjMWKMsTPmyMYWOQMI0OCh8BIOz6kFE+HUAZfY9gMmbr3cZwG+4Wbm4EgkUe6OHu4dMH4Fo4y3jNI3rvw4xoPiNnrEcAtDxYmuf0fEHTo5TzjZfTnrbBkQse7m7DRi9DaQMRQZz+nOIKK5FxZG4KE2V4yAQG/WKCCIRgwitgBRAUQRFERE1lXdq6tm1dt21d17W1ls42P1savEgfhnhtwOAhYwiPMXr5+fyoADzC5wEo90nubhZOzmyj+xhuI31yLlUeezeHOwGc1y7CbfR+Hsex789AeGDYcA8WEdL8wTwwAM0bQIT0Sp+jqk9hDhEzX96VIsLM+gki2Oijn6N3txFuFABnBB9CVGvNaRb5f92AfHS5HMC1GVewlJsRHggmqOq6LOu6XL+3piJMxNfZTyeb5zLDfwkwgkkkcw5E+gWK9O8VotG8Aag/iBkd/fIVQeW63SOCiNIKqggRudl5HM/H47Ft7k4i6b4orwDN4BkEusLQecpn+FzxxnX0RSoarA1AjIzPIm/AOUZ3N/iVYQUDQiRMGY+IiEr5BmYIfdoA/LroBOEyUK+kDAEEMzXV1nRpy7K0RbUp6/WxqOI0ynjPM3KdRo/zauWpl3AN9+ldmOaPzkCchCpvnPbwstVlEMMDHhTI5A+AqhLBbBz7fr9/LMsSQFsWybRQVEWIJS9KIBAvH/DZwHxa+DySGVFkqEEVI5nZcHcbYWUc4c4VhOUZhzApZ1DI6SyFibmOPHP55M8bwHOx6t4wyzRcRMRMqqyZ7IqosFDlDZ/ywOknPZ0/X+kaC6fnTyuPUFTs74SIOoAUUVEvEyLmFZyXJjI/mGErACZSUSJSFYB6H8/ns318qDYQvQUyQ2+qLJrxTkQEefqA+HTgIy/ATEExMxhiloww8gMOG+VhRndPy+MMUB55IiEIkTKpkDCpsAo3LdMnRHnGawPSBH2KR7W2ioQ5XezlQiTjTE6vS0JgvJx2Gn2CMzw/AxMyLAqQBzzYMmqFA7UHETyz3co6ykPUqjjSqWYkNUZwpRRXzl/BMHOE9/N43LkOLhOzaGv5M8IcAQt3j1+ccFQiDzCIODOhtMgZv4hI4j8AzCwijAwzTqWosFLn4RVGWlshCNdmCJNIWn/Mw0v5nsJl7q/jn9dFmFVl7gczkwjN5CqfNxg+EwFCQAhO5M4RoJkZEHEgI/cYLsKd4Khwm8M42HIlMgdDOMLSmbixjTFGH/3sXUFELPlXAwDzvGAS4TbGHpGxaa5b07auq5t9wjWu36HuVk6WGAxyAl9GqfxRhnf5Kx1FRIiLi0h4ICiIKYSg/NnxZjgfFEFwBBOcwZS+gTD9MDGRfgqE5hayMLGwCqmwCEke+7SMaWcqU2YisLIQgxkID46o0EFEmIWYA3APC5dhlJhe7isRUToGr5zA3W24mduwAEA2+uh99LOfChCxeKBghbqYBIIZ5U/b6BGxtOV2ux1fjj66u8VEeHL1iQIgvVIqJzAo2Os6zLBoRndXAEsE8nBVTaMfTBTOFEIhiIrxuRwsEIBHEMLyblPwdIwkTAwSJq3o6LUB83PRyxsXaJGBibk5MjMUYQYFM0EyoSiPWueGRUCceaWZMVG491r96RI+Z/7mZuZj2MgEFmPI6L2fneUMELFEIEOsfFAOjggQcj2ZGKDjOI7z7OdEbd3cpZwVVdCpUTeAwYlEpd8JTIi64p5ywOXKJCQ80IIJcKZwggtFGoQZPhLR5btovjhVflsWn4RJiVRmUJQmqyzKp2s0sWsEEAnL5JniegaEUN4Sns+c66/MkkjccK/stOzbKzWhKwEtHL6SW4+IAWbp2uU8ScSB3IBICDzvpjO7B4KYMY/3cR7ncZzncZ7nefY+en0er/tJwHUDEpimoM8ftgCrf0N9y58IRwiHg/OvMcMFTvEK5y9MbQamwSgsMw2LMgvz5asThMh1LxdN5VGmfw7KdapQJV8whCKvXYWkTJ8MJ2ee7V7xTISYSVMZIkPEVLqIqkRlBEE2w57M5xzDOnc+hUFk7sRS2FaVIISFxSXCQQWnuvmyLI/b4/F4vD0f+/5c9xUgFo55OAOkCfplvhtB7sTEE/ulQBBd6HOicS98nvIQpAdGCIjnSxPFBSpkUpZoRJ47FVaRptJkbgBzoRGEC7EooJTKxk7cAsFEYCEAwcwqosoq189k8cfrrgSRA8z5wAwIQ5mayGjq3iJhLncmGmxsFu6jnE1QhIfZoE4EIg+IWV4pZIgjyiriksgSCn2L3oe2tm33+9vb29vb7fa2risRibYEo4kIFAp4nfMK4Ap+mGWXdHju7OROROwcXte0YN2Y4doLas5vghJdqdV/2ZzMDzKQV2Zhahnb5PJR8PVSBEbWy67yWTp5AYQIcoUHwkwFL/sVRpiwGIsQcQBeSbLnBjZhV/XFzT3y6A0eRGYunFgiAu4eKLtJDog7iUxgRyIgs2iSMdQYltjlvu/P/bk/Hs/HY38+j30XlQaICJFmsKPTT9KEoYH0L9fBT1fjTuQEyh+yBAHdw4wSBJ8AEpWLn9ncTJ6vyqJkTVNYpSyEMovQzLWj7k3dnsuU5SKkk7jC7soJykXN6GgejQqDiCWNb5rm/JBCJCotLu8bzNx5MJG5j9FlMBsxwRDuBqNBPYg8QO5p4EJewWIupANjjKzknsd57Me+789n/n/XpgTCsmTGQCC9alUUswJSx9+j8BEPJycnSm/BuFBwN7hT2LVqQYlZxgxtMxyquF5FVKpglWXbNm+AlgPAZdnTkjBNFzLjAkpbL1n2qsuMC4RMYNbMMkonImPm9DBClGEwEYGFG7QQcxARiXQZwkxegbxPJMhQBRuHjUBugLCEXBBCRhsCj7Bh5hYevffzOPd9fz4fj8f99ripKhGDSJhDBERKBUTHzCKvWDVTe6IJi2YZKEsXVTmKCDgK+ArLZaKY4HP6amkiTWVpbWltWVprujRdW1tabkCFoTN6DFyJaNRm1AOWb5/5cBY9EtDIQqPHRNmmTQBlNQ1+wV9ChIzqruwmkzVV7aOLSIXoTJl98tn7yFIfhYeFgYPZpcr7tT6SVw+wYebuHL3349gfj8eyLOuyLOvKIukS832JKMG4oE97EFcKjtfl/3eg6KqqXLWLcEIYBRjEGQrXGmlL+Kyt67Lkure2Lrq0BHNyAzIsrrCVEoyJCw8IhGMiO5xHrvDKGQ1EzJSMARBniSmTvYID0xYlDuxzz1Q9i5eqQ4eypIMlUWmttaOJnvvZ+8hIHnZVgDNAxAVgIwSRhWJ3EBKX3p/PR2vruq7blsi5qra2mCoRKX1a0vQFv3znlQjMuGQCq0wB4phW1d0Dlm6XiZH+Nt9ME7xcJnisS9Nl0aaSoUvCFfTLsnqaldwJBECMWW2OiDA3BMIzOUTBShmDCmcmnHBMJkoiuQ1EjHTIVTGPYZ5oKgvXD4CISFVba9oW0p3k5LOjjxiWucG0ChHsaRscVh4PccHabjZ634/98XjcHo/tdlu3dfQt87JfNqBWv256zOP/b0lYwdWccX6wB0dWR8PIjXIDPt+AJq211tpSv1pTbSqtTSS54s6JaDohq6RBBM+DRjMqwwyx3C08MSC+imFXsSkj9ALzWF4oUmEVFIA5qrbLiQEBzMSDiIKIWNoylmHL2UUby868g86I7jEyLqJJX3DyCWfwRNQrv4uIYeM8z31/5tdxvPXRLQs7TPpp9a9/i5kMzws23fw0SVH7wk5elsM94E4cHBwIMHFxpJq2Mv9z/QsaL4iNIr8oPxL5zASn8Q7MSHdiznnfEOQI5giu8n1ZdsqF5kSBZOZmzJmoJD2LrgPGM7dH/QexaGtZCe9jtOcqbRFpxM/AHsAwm7haVY7nS/k8rgXbAGFj9PM49vZ8Pvd9P469n+cYfYxGTDph8DSyiCCwAwmHRzoe+lTqzN0o7sln911YeQIdRXxJA3StfrngCodY9CpGVkKbiR0iKBLodIAjLAuL0/J6ZSdXmByzhIpPBVTUM5F77mvi5Xmypgl61eKZWRO9dNW2rIHE74bZ9jyW9a7tzqJZi8fZR9KEEhSVyEPJTBNIq+g53EcMACL78/l8Pp/Hvh/HcR5Hcgk06tTXhtYBRNTRAyo98AAnGQCvxPj1N1/lInoRpDTdzetLm6jKJ+LIRBc+XYIMZcEJoAYcTrmSyQfJiLdoZJheNi1PMjCyEJmsJp/mBeSJtcR1lajIGhmXpM0EiXIjIlZVZRHz2Pa9LSuJBmiY954havGBZmJBzO4exFG3oaKKQHhRKc+zn2c/k1Q5xhhMMw+YR/p1xBJzrvJ2XK+MiBn4XqHo5bMnBJZOj6uCkJU45YspNfOmfBNcDpSoULyyQfn8HGxwhMMRZWcjUBX8z/4pnxnhfkXTnqXkCPewPO+V8VOyp+bTziesJ29tWZZ1U20BLPvB0jwwzI/jfB7H2buZGWzyWkBsEfrrQlSU6JFOa/JGbNgYYwzrw5k0XocYkyOUW5EQChDkQezkqPi4IvbJG5p/Y5aAqnaWa10mGMxgjsQZgAwBOY91Zb8ov1/LWtkJXWYtV78Q8oli8uS9RKHeMVfEI8x9WJGpEti064nT8BeJTrW1tkBASszEoros67Zty7qCWNrioD7sOPvzuT+ez+M4++gYKMYawC5VTHj9os/3a57ksKqqjd4788WKePnfjPlyGUBeRw11WIM+Rb5JpkyXnf6rgu5K/afHy+gywtzZpoUPigl/CgGztkvT284MnwACcwKNMz+Z5ErmeXCSnl05cK7LGJaMqNyG4WFFhwMoS50qoq215u7gBgIxiTeAhEWbtoVFgvhmfp59P87nc78/n3sCzHQmKhOASDHD/y08zZyjgvwIN7Mxeu/ncaSbTidcSW/WFlFAdwEAM+75fPxnwBSTVTCL3rUozJUi1EmMYd7HYII7Z8XGmAZf8BzcSYWDKYSFCVx1knkscHlORHBZRtTtDvdc6DF6EszNh1sf1jPiqxyqaG3ImF9VpGlrw9xAIPH0Csxi1qzInojcrLZu29vb25evX788n/u+7/tOe1KHPCJMpOBJc4IBIIMnYktcZZAIc8vV3/c9D9LFDb3qEXnoywlQ1jtj4iXzPqW7wORwxUTcJvOFQRQBizDzPsZ0SS5V3ipMmLN2LxTCoRzCxd8Bva6uT+Z1cWgj6Q4AqNhTZmP0PFm9WzIGzPsY5xhjFG/TouhrYCJWLU4JBYhEWDSII+88K8tBog6IqjvMjIiXZdm27Xa7reuqTYkoPGu94QlNursbaBb42RhFCSjWUsDdxxjneeZ6lQ+IIuRisstxpV3TpcTMCn5BJQp5rugHL8sTcK/Vn+bKfSRyFkyoGn3iEEKuEiHhEsHQ67HzsziSeVwAuCdm5x4EJP+v94wyzrP3McZwN/M+bNgYxZpNohwFEQUzHOYgBzmx92HUR4DqloACNNzP8xRtRBRB7sbMy7Js67quq6oSk6f5A+bxKDjIyWVSJQCpsmlWGMKHjd7PPNM6ffAMD9IJRIa1mQnk1efKGMouV+qWESQS3qoNKDdrHn2MgoqMbfAQzuLftQHKJMxN2Ju4q6u4SziHik8+ViEPFfV5VZCcnDwQ6c7O3nuV/vpcdB/mo1xCwmaEJEIGgpw8zB1mIAYP4DQLVu/DuvkYfpy9LUfxj0ST89taW9d1WZbWmrBMkBCVVbuDLGtvEZEgsFSKwBlapBViEY8gwq9Y0DS6V/5VRYKCyfDpRz5fgRl0MaX1d5BFdDPqcPc67BPyzCTlRRlibipmYqbWZJiaiRlr7VZFpZ9g/oSKiAjhGWKP8+zHeR65A1bdUqNYy+HFn8iggkmEQR6DA+IhHubRLUQs8c/W7RzWzt6WTOLbum7LsjBJbkCSgicxe8yQJDxr+Gn4IzLEumLLKNpoJyIPT4aLXmj2C5a+FrlwnxcSEa9lB2bIWOXfJNkSZ8nCPDAMEWbUp9FPTl7+vGZhkikJW2ZqNsx06DAVm0DpVSarIC6SixlcSUuYx6jD7t0q7Ml6SBoi88oLPO8xOZkTB0vQMGYRGaImw1iUWUR1MR+OZboNELfmAIlIRLTW1kJVWtOmMsIBUPbCFJBV7E2R6RuyUaaPgeMwsz66iALQC22eWdFcX6oiFr+c6qe4sH4ifwrlYwnJPqOIYR5BEc4TQJ6IG/7XDTAThEeIu5ulJxCTRNEglOhenTIgKz95IMotZSGivpOIdHmmAHHlow4vumiafkt0mkVETYdlYKruQUyqbCozZqKrEaSIFppYaWuqQkZRNYkr8SYCyO3Kl2es0HtEiNkYg0UAKPE87gwCyDP34kkqoAmgc12KuQE0I6NJqq3r4WkQKcs0r5IWE2QGtcLkQu7sQh4cBQSlkRGEhItr8hnYX5TiymrqMYgAxkzJMoViEQdJsiZQFSTUyntEWMYacJAHRpY1RV2ai7moW4ClqXmLC6ubQN50gUysIou2pS2tNRpGTAnNzSSGnatwHnZFaoOI3H1ciACg1ft54YyICIoJ53GV/DiIcfGJrshoZnvTUk+ssj5kMBWszxQM2GQ2eFZcJGZPXPAsK4RbuISLW5J5WYVVE+IsAAH1TwKciFG1RgEzOO17QrLGoIAH3OHVaeN1FRzhoIyCJEJQ/sBB0nqb3jtesV4ZQSCEOZ3Btq7neRKd+XOfoD0gOEEcc7Nho3dm8Yha+kRnAVWVXDabm+dBQfT5YFFWXV6J6Fz3ywHk92aTXxFYUNHHrFXlJSCmqicAMc1JcF5gYWNKK2TJmdBcHBVliU+pxmWVZvDuudKRMGdWkLkCn7zffkULjouiHAAyHhrmwR4OsKjoUS6hSkpNRDKYJiJVWZfltm1vb295rjMBTCIXJScnCq22MTp3EHmA+7h4Y8koUxXJG5AENFCQZ11xQl2Xk07sLc/6tPrXNXhha9nbkM9aXYNlIokxG9ISYYVTkMPIzSvkd6ZIsrgnzpvVkeBA1VjyvBPF7GWzBFisXHH2bSPIiu4w6wSSl8XJw6LSMJ9hRzIS2UcEiCQZyrNpMj9crMuSq8HMWWLKkHSM4eaGQiOIuWpzmQ+Z994TBZp8lkya6NMNiCt8j8uNVOkVE3B3fHqeukUBikkP5nTOXttViXVFU0Xwp+k8LpCqdiRmVSeCgcFGZR74BZ8VACSV0XhlG2Y2ksk5bPRh03B43cQ6SkysDI5wh0Tk9jhm7olETcwDwAFQJpJe7UdIU63M4WWhZ0d+E5GqfkUkXCyzW5OylbV3M2cz4sm7n5U7bSIAvDo1KTtdPSguO1Mrj09dtARKfNoBYQDCV4U+/9osJoBAL3Zb0aFx8dRlfpNmbbksl0caBLm6OIlShyAFEoA84plvRx3/kVoDdewrGimzRQn3X2vtAZuBbb7dSDKJ2UBH9QB7hHMuaBK/WovqSRJtLWtMh+rMGgtcLvdJjGxNjQgYJkp/wfK5AQrAk8PGWf/zAucmI2G+dExKfC2sE1GEi3BClp/sFYCYPCouLlsyULg4QjyB6mraykZZeIQhy6XkzMVAAIOEimUhTFW4oLTmlYfGtRmVDb3CBKo4korxECCP8NpsH+5jGMEo6qz5GAOgCAZUeGm6NF1mYKYq67q+JaZctZbzOJIzCImqCgIIL1TcI4rKqMpagDEBuohEbkAguJCNqOWrDagQiaYKhyNLDCCK8AqrSYhYiECRbOlMG179YgghbiJVExaWKmEVDyWDDMDhNGr9PFuSo3j4Uswu5kAQsTtYBlEHBKCi7JZDYszy7GSI5fW/XEh6bDd3MZ+hCbnlJS8VEhvdenYhntaXaMoiui5NNQuszBzu/Tyfzz0S2iBTTX9sHpFX09wj4WIzGcpptQAVEACb5VfyIPesic04J1lKM6j2cM5rhfAplkAJc03rcCFElTkFeYDAIiq8ZfCsklROs5HtlbOxy+utgUEkLGYRnmmgUJF6k3Yh4Rhqql1YCTLpv3nS+HJ0mDU8zHaOwqwCno20oLxijavKmBeZmIXAETDLVji4C1M2J5v7tq5MPHp/3B/6/h6BMQBEl86sJNmRkFWKCCLn4KwvuucVUU5rUw1UDrcwi5jE9OqboagKXspXxKBq/Q+Qw4McFMQxo1agNoCzmThpFgxpTGtrt21dmhKSukQjn3KmSUHhAwYSCi93mYaQGWWFiIjZIjCGN+0iJ8vEnD6RdT3bXa4YPrGgagRPzJurDEOsklV9gLJe7wGISBOWCmgcEcK8rct2uwnL2+0G4Pl8/vj+o4kiYAMeIB7EJ7Fc5jGi2qeTOkxzhVUS2Q8YMPlKThnNMnPRNFHVmSCjoBRYiPnC4EhjKTEbZsvuRrhF5qEZ20KF16a3dV2XBsToTOExODnyxVMo6s8swjuKojgrYSItya0Amfl5dm2nFgUyQMjQPTGvkc2E2fxSuT7/gqpP0zmTjAofraBvXpa2aMGhQqQi27r+9vXrsq7n2d39/ef77XYT1QgMAAY6g6iT+IRtyiHl1YpZl7uioBigcDfmxuQTscy8SSgrhUWCS/9nBIZ7WCIPIIcEbPYEkBRbOZiF4OQOIWrCi8jSdF10XVqEU7j1iwr+ud5An764YGQSytRYVETy6g7z1nrTQ3QR7cnbSJCGmMxsZjBlKa+XzlOSmQ+QKEbKUAkzB1Bd8ITWlnVd1laUsnVpb7ftt29fb29vfVgf4++/v6/rJqzuGIADGCAylvJddBHGZk3lgt30bV0jYrgn+ksgYu7mAVy9H6hGoXTB4a8+fy/kwT2sOmCIhQJMFRsxhBDuJCKLSmvVlMFXieeFsSITayKi4nEKidBF65y/szYWyfRRhklr0ppoE1Xz5P4Lpx4MwOHswRIU8QuDTvLNq5ynotqSR6aieoWhINLMuZZl29ZtW2/b9uXL27dvX798/dqHPR777fbW2kok5ujItntwB7szI4Sz9bRwlEnSrjzgbbsFwswzMBFR6drNHDEzT3YqJ+uFiF7spnmpHG7DGc7wJM8SASSUTlECrCItG4UJGV64+5hF9ORkgYniF06RaKv1LTad8mS4AEjMnViLdTsz91lCqoyShBmStchLR4hpdoMCRSMTVhVt2rRRdVsGESWlbFmWbd1ut+22bbet/oXPkZUZEFvQsNoATimsRKanplFS1SZfTzLU0LdbbUB9PD2l6zESTs7zSekFZyE2P2BSTGoX0j+5mxsZESevjvMosigRkYq0RUU4IsYYidD2fnbryXd9nRARbaqasXfTpVafVWafMSdtLdku1fvB1UuW7tYiA4TpzIgwO54nuvl6fKLZXZUJlEoKKoFIWJa1aK3rur3d3rb0YK2JCg9HIlEOs7DAAAKw3IbCN+nyXioqTScNiQHSbVuz4lcEbhFWpd5HsrADNp0tZqIUEyIkKQy+4NCYujbOztkymPYjyd/SWmNhRwwbMFQtPW9b8qnznORlacVql6bchJSLwliM/8AFM1V2JKxCQ8ItuGi9CbQSzf7mqgxy9ZLl2cHsUZb6PUmVyfBQ1W3bEvNZl3W7beu2tdTIqdtc8aAHbJqFV+Uq8YGLAaai2vKWZY2zwDjydKbVcuAAsVnp6Dgmbli9GcignkEBdoqMwDFLMxP/zPCuabpEbRU+AkhiZZkfipLAmpG3qOjSRBs3pSZQDiajGPDug13g2fdInr2pGVr1RW1p5GbZsVOx/8yILwS9zGO1A+Wuz/2rryaypD+W1tqypTLRWhuwrsu6aGsiSjw7T+kztDX9/AW60dyMBPgnYZCASUupWK9wP6KZgcUrOLyK4hmRMyGpPxTB2XJVFnYiDEwkrK3lFdZMGpMdYcMtggAhZiGt1u15UVWTPK1Kys4Y8NMHBjmFM5yjMUQEDGoiW1tiHWHOwYsMG1GMzXlZryCwvhFzG8rvSPVsqjSVRWVJQ3GVI6Q80NKktfxdXz5pojvCMqVVFFCCXFDX9JlxVX9RYIP20dMEVTV1DEtqk1lyaa6G5cnuw4ytiCBcag0QQKtPOndaEjtgVV2Wtq2tNWYy8zF6wdTMMnHvWWIpcpfM9q+soo2wGLDwkU2BHMHUhFRFRBdePY9AYz3bSCXR2cd50QmKtegXO66CMGEqhz+9PatCq0P8UgiKK3qdLoeLSioirMpNSRtaB4AGtMaiMk908mhKXY7YaKov6X7sCJh7N+82+rBzjJ50vgiLEuZKbtPwC2BnupC1qXkoBL0qlMyokFG4NWmLLo2YMIbDKTyboYlmc/sMYSodSvwGc/UtyAcbqWuedAijMVPmxVgEEHzagNevy4S6G8zdQJ7yZMiDlEUXrhsgpJK9e57lADcxEzdxa/Pjv4IQvo4ZaeOl8dIdwCJoi7BI4Eqtw9zJjIaBBxLJItLkyJnHMBvmp1kRY9wN8MCYlyC1Dkpxkysfalk6B2QqNGUzAQHIBCK3oSm3RglTu8AHcFkckQlJo2LcjN8i69yU7bkIIpLBPYYLQikaQalJgyA7J1UCSjTEbGBY9B4GN6rIICF+CqMqe6Q3ptQZEYZw5J1jMir0wiJodB6qZqMKmbhkgzwiKLLQ0xotCy8PB9AatAkzFyCHYqblHmAkzCNE0PM8AVi42YvfkVQORyGjCZ0XN2pi6yQqTbWiATDAAUk81w0IiARz1KcSCAelXA8K+a1yZYBTISGK8/6J9osoICQNp6icGEN8iHfyE2P1hYUBOMzIh8SIGO4do2MM7y9OQqr2FWdlFlVINHvv4ZSIVtYaJtOKgmEibku4E5woGA4MdzLrSYKBs0CUdZG2jACkEUuVpxJZQhW2KmIy92Qq6hg9C+gXd3UaSEx/HDQb5Uo7lqsNklgovRC9DFGKCkY4mKvvgtmZnCkQhhjh3a3bCAQFiTPZVZCav8Jj9n9n9bSajkw6Ric7vD/6vh7LsiyarTZAknR7UuXOfh5n790mRd2GmQ2zzGpQd1h1actI3RehkPRozGDLDaCQBJFEWDV7PFklOO221Rvg9ZyoLhEHUITU6XGuWOOKyNRsIEujFz50QVIgIkSAAXIGJbAWNEtjFeKlZiRRack4IXkPREV2mLqFCY11t9PG2bv5mDQTmPuoyqInmRPhIGeGKmlGHE01mpH3GM++y/Ni6KQWGyGF1EY/z/M8zuM4+pkxxUte3N0yN0hx79bauqw3N0f4FP6gEE4sKJyCkhwkKm1dlm1t65LMXAvvUy/SprsPwBxkIDNg0oGpgKDpwIuRBIImpDwjpIvwQ1yZLkkER9QRu5pIoyDm8vIzsaxQOLiuMWCI4d59xICHdevdRjc7rNvoBaqGn32cfZw9NYIti7XMrkpt4WVt67qsvIQAjtFHnAUqcklqaWJPSTo7z/M8juNIrZ7UFkxsNQHOEOEkti1tOW0YPENp5AawCIu5uRmB0/SjWjqERYJgkfzR8zjPM8mowNV+Yg4yK2gXRNl8PNs5pThXnAFr2iial2RikLULacXKLl4A0JW8g4oaVT+THCBPhkVY+GnGo8dJ4hbwPvpp1sNHxEAkdXPYOEc/+jhOO7sNy8o4RNACCxsaGCIcIsHsBgy3kWqoQN2DKRnZez/7eR7HeZxnH9bhU3AyPyMzlA1B4XCDd0CZToVKCLtwMAtJug0m1q5770d+jbOdBzH3Pvqwj8f9se/H6BYgFlEVhaVixMVgoFJquaK74hsyEais56fUsGCfku0NsqqIZO0xaV9UCIM20cZaLzLb6WBl+9ws7MSANx+iDIKHW5gx0IQlEIwwcZ4t7MxCPBhhIGcBN/CmfGt8a3JTXhs1iQiMCObq2GWwwhVEcL6SUgEpC0ULMlyC1lI1nZQ5ICYOpg7fvaMfLmSEEc4kSXRhsIeDmYQc6GM8nvu2biJqwz4+Hj/vH8d5BqEty/b2tp2djjN5ARm0MiWaXvjHVYZN46Q0j/3sOYFn+I9UZyGLGCnPm86cp4RCa9oWbU0St4rynVcXmvlADxaWk1UrYqVqjQQ3ZVbixLN9MVuHlRUycxhRMIc2WhZZt7Zuy7qty9JEBYTXsAVMxRpmTuJfCewVzpQqCkUg5pRoqTaFkiYzD6CHYZx+oofvo1MyO4dRUHaW3p+PHz9/frl9edvebtvWdAFwnv3958dj381DWtve3t66key9j2EeZhHIIt3Uo0pkISw8DCCoSK0BodbQPIbHABwUwACyu+oCLLOs3tqirWlbRBgRbmGe6zJ6z08/3C07EllYm2gJdrQmqdahoiwpZEsYZt2sjzE8021nhghp47bUdmtT1VTgm9Xm6dWKq+IzCbv4KQk3ZFueSMu0A7Axjv049n3fj36c7n76sB6nG58HHCnVDYeSvMv7om1ty7Zst/X2tt22de7BMZ777hHa2u3tbZiTSDogDHIHUwEVtQFz9VNbTLUpAPJwcwogjXK2tAEOjKAekzNT0HkZH21NVJnI3TKSybCs1yWY+hbhxKRN11g3Bq+6Lrp+uW23dVmatlQVI0eYV1SXkunlX4REqxIjBeXK9GQX9DGpYFNKajYFXJm1CHNGUioS7sd+PD7u7+8fH+/vHx/343kMd7NBGQPPqLwK3g5yMHFjvS3bl7cvX25fbrfb0lYCuzmLrNv2xSOdNZiTLQnyahydx9+RBLTypHp7u0VgmNMYwUWGiTH3IGIEeubDEZinLesX+U6Jng6PnoCSVxXdKYGEMHcEQrgBpKLrun15+/L7ty9f3pZ10SaiLI1BkdQD83GJapezZ4BqP6SJFrzaRK8Kz0xxEoCrlogLBeakdDVd1mURkTB/3p8/f/6UbQmhHjHC7ewJ9ybhMWZKH+7R3YbBQkiO1ntFygjQ0lZpbdMmbZG2krQgGh5nHzh7zPpMaqBkbTzAxYoI6Lfff4+IPkzOTsfpcnQ62QPuFp6YxJlVARAJ8UUuQ6bHAcRIHClXv6xyayHsStbHGCC0dVm/vL399u3bH7//9l/++P2P396+3lpxncBCQZ4UtxHDP/EKQcDsp0t+ITflJQ2gMgsw+6Ddr0odgYr8PwHgpm1d1m3dWmthsbw90WQgDhv76KebK6cSCpnTMCRLOUAZSg+DQUlubbvdvmxfvmxfvtxub9tya21h5mG+PnYS7eb3/XBwt+jdmEvfmDkIzCmzN4tb+seff0Tg7KMdhzz3UB3Eh/uRyjjJK0oQNA//ZPH1MbiPdCljnP08e+/hBkKBmUKgGGaZcC3b8u23b7//+fsf/+XPP/78/bc/vm23TZQj42ZyhyXRiJyn7AQm0zlmh13S453JB3nKVSLCMNvrMp1J3iqRcIAji7MhoCayalsWBDmwjb7u+/p8bvvezfhU97QQHhZJUZakvTtxkICbtLfl9ra9fdnebtttW7e1ra0tRNS7teXjHKYfD5AMi+Mc59mZaYlAiTRddaeM8aF//PmnRxxnl+dOrblIDzyHSTfqFkAq6iSJ3ynpfz5snH2ATwtHeLLzbHSiSO+wrMuyNGkcCHMjpvW2fPv9tz/+/OOPP//4/c/fvnz70hYN8mG9j9P9NPcR1t26j5HQX4YMRXeLJPGIuXP4gJFLDLbS0veKeCqVrG4NS//HKs0Baa35IghhpibcNJPb9e023LUvec/zGnEQEzeSVZdVlkXaqsu2bF+W2229bcu2tEVZMyiMiH0/g/jnx1NUPagP349+HCEcgU6zzZq5QAvO+QFff/vmEXqcoWLMZ8QyrB2n6EnckaIXNptZC0/yYc5jgEu/zEZPQWkV1tbWbb293ba3bVlbNnYQ03pbv/3+7Y8///j9j9+//f5te9tYMKzHGd3PMfwco1ufX2dNC8FFu0OeaoEM8gETl9TJrS6IywQVh6zq31maUNURRsLclFSaNEdAmJro2pbbZog2LDGi2RDDwrJKe1vfvm5vX7b8/cvX7W1btiaLEIcjyWTD7OPjfvS+rCuxeNDZbd89ADfgCJFecBYqmGRhAmnb1ohwoubextBz0ZbMRcbVbjd9WvEsk/Sbbm/ml8TMQsvattv29uXt7cvb29fbdltJOBDEWG/r19++fvvj929//P7l25dlVYf76TFohJ/eD+vd+vDRfZxeQGbR+PM0EkuwhLP7MONIDhNeGpqpo4TCWqY2MTGRmjrAqtIXburZXsCAMi2q27IgLJnoIsm8YJLGurX1t7dvv3/57fev337/8u23L9++bl+3tikLgkYf4xw27DgPVn2/P9q6Zof3sFkJAvpAH85iolZPOYt0muxjm7n6/P3iG3sZ1knekGoXaZcCIhFCBaHCtG7L25fbl9qAt/W2spCHg7GsbX27LbdN10WaQsXdB6L7OHzs1g/rw4e5ddhA0kXNYVkXZZAggor2YuGU4Asq+EyAkIroWR+Hs4HRacAxWMai/ZDRgpmCBnntQRN2jdyA5OawCIlKW9ZtfXt7+/b162+/ffv2++9ff//t9nVbNiUNRz/7efTRu+57N19vN10WVgWxv1g7ADAcWoMJq2ncw4lI9/OIiOM8j34e/exj9HG120zxRwBMmGpzy7K0dS0hvqWJZHE1RGnblre32+3L7fZ22263ZWvgJFlGIhb5xol4nuPc+/Hsx/Pc9/M40+zAUxXa4GPOcgKBI6GnbKQK+4WXVIXtSgheaFZcUakhaHTtR+uLnC1ABO5j9CTcJoaR4ADCwikYlNDfJforyezQZWnr2riFJ/GPmdkidFlES/PmKsR/esIXhz5PNhEThb4/PiLiOPvjeTz3/XnsR7b7X5WLSKQ/K3dtWdqyrG1Z29J0acu6tFZjGVR53ZbtltyNdVkXaZqTupLXOszO0Y9+xgEynOO4Px/3KSvbvae5d3iaVkvOdPbXAY6iMBpmzxwuoJ0mgxLXh8+QOyFQNidi7aceB4t6gMHjHGcKm1dfgUUEOzmHM5SDwN1spuiWaWbWZVNkHlOJ51UzuuAy+mUHqig29QzMncgA0h/vPzIMfe7nYz+f+36cZy9C+0UrAtLiFF+tNW2qbWnLuqzL2rSJKi9N1m1ZtmVZmy5Nm5CkXFH2Kdg5upwn7TwwguPo+32/fzzu9+dj708LoxrlEBZuqIlRTp6V+2zzyx5tL/WOor8kzhhT32Vyh2YpPDNBEJ/KshOzeTDYhh39PK13Hz3L3uYEKEVIhIDZLXy49zw657kf51MPYY1GDE5mzRjWxyglrAJg/N9uwMXCvOgClj7g+/vPCPRhxzn2YzzPfo5eAR2ybA3HJTJWtfPrhhGTqm7bsq7LurX1tiReNoW0kwxP2XUHG9zPONFjONne98d+/3je7/vjHIfDRQszzNUfYSMswjmYwD7bPFCck5K1IIDIMXPEWv0gygammjQAD4APEgHz8BBiG977HADlNnzkBkR2shCRSFIlSMWB0+x5nktuQJCQ+PCzn8d5PI79vj/v+3M/jpfO62v5M5+fzMlIEwSA9P1xD2CY9+5n9won6aJLis00DrONy8xpWIDA1EYLQETXdb29bdvbqi2VZ700/nO+npnDjTw6OYfEMNjen/f9+dj357GfdoJDSZSVmZxyONDoNoJcQoRkKpEKCMilqn6CVJgrS0sxxU8dr/Aoua5up3UeGiAhcfNho1Y/kqhqCEC4aZBKW5f1tq23TdsC5mG2n4eSEtgtVNSHH/vxfDzfPz5+vr+/f7x/PO7PY++j+zWgDYBClKVYxkXhSn+j9+OJ6jXEMFj2wcyGfDFXwIIK8c/eKe7mzmNYmKistzUAUV3WZV1XVnb3blli7KelfsxwGGUqRyHBTnacxzEFNrr3LCuTEoINnr56+AClWBkuGUYQyEvC7nMrtdNnUb5AIPtu0lk4wsJH+HDjHL9hkYNKUmpruA0bCDBJEEQl6bjrdmtLA1O3gX0nQ1jYak2bD9sf+/3j/vPnz+8/fnz/8fP94/3xfGbfwGv9FZPIJdntUaeFSJ/7Xtw3Z48UzQJP1kmGz2EAVevuGMNRyqTDTZreek8ad0WlQhm+jjHO0c/Rh/UR5vBcN+eQECc7+nme/Ry9jzFiJMQgtYwXzdSDQ2aCm3tADDIqtK7maACl3oFJn4yS+ivmNUcxPLJrzhgRHqNGQaaSmw0zCpg4iCR74W+37bYpN1j0Pvrog8c4bfSxaIvhj/vz4/3j+/fv/3z/58fP7+/vH8/n4+znawMEJVbeVBO+nR6bAvrx3FGuVgABOHtUZ90lx0JEagq42aBRcz+ZA3GerfeyW7lGwOciu9kcwOhwGDAQHBzmGEcvfaWc2DvVFYLCna6m2M+WdPI0mBgh2cad04yugLOUtWYH8CTGZWaQXn3YACifYkyuSmnb5PYTSLi1tm7rdtuWdZHgMfpxnmPve3A/+jj72lY3f94fP9/fv//88f3nzx8/3++P+3Pfe+8ennUuFrwaP2YH14ydQ3/cn0h+cM6yYAXEHDmKpvDE60hFIK0kEcJlcE1TfNFJggJXrjEr0lzEmOSamcHHiH6Os4+e8e5LIDOcHM4T0pwKK9emspnk7AMmjuRnTyLLDPJi5g9T3xwprkUYBA6HsdMFf/fhc/UnXMPJV2nr2pZFWkOPYbYfx/540kBfug3blh4Wj/vj437Pr/vz8dz389OJBFDdGFWMnPFDESCgH/dz1ixUNESCySOu/vR8nnmUfKKSuWfzwNeY97Of/WRhs8kgFVZWhkg2VMPqImXLYcJniBLgyEeMye4gYhGp9iT2iD46HeTh2q52njw66QKomFzJKJqpQsSlbzeyGlttDJ/qD2FThp+m+W36akogcvgwO/q57weGhwUR5yufvZ+9n58S2KIwv5CICetGeKTC3Oti63O37EsSgRpEIRyZSV97gGplSL8dHDUULocTZkjSz3M/DmosjdMqsLCSVusAwsJGjOFj+ECOpr4IUiRO2UTNdTWzfpvaAhTEKTGVTTVDR9Um542+SI2f2U3zP3NDUoUhOYXsDiGQF18oD1X29dRE9ByKnq3MHjGy0tf72c/ozuClNxVlkE3CaB7WuVyTBV3Vd/esOAbm7axUXo8zVwEiZD40IBKUIhCOa6toujm62t5Fs3OFQGZ2nuf+fJJAXUkoV61po9JbCgvr1mlQDB9WxEMiqi1kB8enBAOcBRUKcI0S7L33ARlj8RYIrr5kzskdL3mEuH6bpyYjogBgyDwO0wRZNk8mbpfF1hozISXiEIYsdGedv8cIpdHH0DGE2PzXkfYpm3oV4JG9v+7mI2eEZTY8cQ89e1IdXJKgCKg7czWee4aNUSWcKIY2C0uTHADAhBzgemaz9IJFFuFZvM22ABCGDwxYWHrxSlCvKYxk8akTf7a0MQTBQWFRyJS7OzOpKma0XGKg8Oszxzx6l/vO3ciad8aqFOQeyRrgtAFl9rc1Tb8qiMzt9Jfu89l79GBwOxeRk0n6S56ixhXkLpT3ciBgbmOwyKS5Tk4hAC0CEMLNatoahDNuCwpP1QFGyQ7SdNair7wiUhTnOEGNoGhcsxmmirEAEAr2rC76awZQcbzJmYEIKm5uYp70Mn9R1AkvrSHh3NwmIkWHIZvpACZx+RNGl5YqMOljEfFy0ZXzakvF4m3blmWRGpzp4T0NfV4C705BIjtAQtLPfvTebTLHK5RhVoaUFTLDMEO81KkTUQCg17RczGYEKr2ISOIYvJowsnF7LulsRi+REDcbPGiMLibszC5xrUB+2AmBTAFrs3BwML9GoaYXzeXJeVkJoUyGLhNjSigVxYWZzYwtV7+Yx4VjZZvaNUVDmObnQgQ5OZWuhEjZnnVNGayttbkBbj5eg5EmFmD97InDjZ48VwdR0n0lZeIbkyKsNoCGk6bj1GRFJjtGa6RzsrfkxRwKDx/hFuHVBpctjFdPSKnYEdEU2rDSTcpHncF5smHhRdWZzTfFK6jcdbrQiRqSw8lhyB4uEDFYWUEpWriuy7K2ZWlLXmSmUmTMzKu8XOGVrEnHIkY2XUwxDKaUZyu6SrbhZT9ejjuKCBuGEZP8WeRZj+hmOE8KSrDUvVSEREWb6CKyCCvZCBhgsJTMa6xa/cZNBUSvDaDJ4EWqdFpYKl47zQa8nELIV6MtfVo3R3DSaCpnqC+P4Ne5tKlmPunVUZxtvG7BNOJVCXIGk1DSglhoWZfbetvW27psi7ZkVw8xuUZhpaWKaTPBwlLYbI178rAA0+w3pKwN5+pv67q0dQYX7u5+ej/PPnoixO4BBJsl3nexoLIbJ11KcpmksXXLh4nZMavalnW93W5LUyJSyPRTM14sI3y5ySSk05xLcMGh14+He4AjPInrRV/4VL6cmd8VmxStvSIHqYa/VFxMLb3AVDcjYpKaSENZ7n9bqyzeWktpKR9hbVg3k8jyXuK5rx4dEmWllBZBRDY9ZPGdeGnLtmYH9q00Wlkiop/du41jnI9jfxxHcui6K2X3j1OQm/c+jv3cH/vzuR/7UWlwKnSJVdNwHQjm68K1RkR6wdZzeSpC/RSqzjCiUADCpKEVA81TVkww5yJkR3ihHyrZLhCQ4em4RYTFmQAWVqlwP0XVzHOUUGRsydX/k0ZalyW5PbetbWtbc5I7B0cLb+4tYiSRjdLEUY0sKI5dHgwnB+PiyopIbsC23W7btqUDALv56P3cz+N+7Pfnft+PxzGOTkZrW1UaizDYhvvw/bG///j48c+P9x/vj8ejnz0imFkUlnRlgCYIVP7QHJ+0o9OHJUBUOUQ6hgIermN/nXozErilOoOgrl51UrSltUWrNkAwM1BYjDZUh6qphzmFKEsmNBzmlVpbDrtIUufc0GwNXdqyVo9E9c+X227hy5zRYIChO5lbWaT4dKXqw6Ba7plVtIzPsq5ZTmJNLzL6OPbj8bjff97v74/jsY9jNFL6Ql/evrRladLg9MR+PI/37z+//+uf9/f38zwsSwtEoho+Igk1UhzmMfp5cJagP23ApyIr1aKXOXmBSDSrCUYAMMBm7MzBebuSu1l70For7nR1dVu0NnTpOlpLInbeRlEJcnYmS+Wi5AU76JJIEWWtDWhLrT6rkAAgIVJgiQL7LAnySGc2IVDEzNCuVKbapVWXZc1ZdxmdEGWOZmfv+74/Hs/3j4+Pnx/7/Wmnbbpuy42Y121bdY0RCBzP4+f3n//86++Pjw9zSyYriESYmgZHbQCF2zjPg8LHKaBPGxApeFnJFmVVYPZpJMcyDVSURD4cDDYTZ3e+YAvmOa9OiJVFOU+1h6jPuVYmERoUaalSKqk4npwgXqp8ovwZJ/VyWXVZdF1kadI0vS6RkAiqvTFR/xgRI3yEh8MoUk0kqS2X/KJIdlu3tixtaVrTdTNDTon/Yz+ez/1+f9zv9/v9vt+fMYJWMndmaa0tbTnkCIv9ub9///n97+/HxwEGb7xuSyVlWh4uAzXz0c8IswxidPq62oPr37MmRlxOLCdapMKdGRLqgYCdhzM5sVM2WNbvMSzr6td2ztJtpREuQZFnkJmrfA5z5AyHAgsFrKSNWm7Aotsq6yJr45aeML19cCy8KJSN0cnPcDaD9ehT2t/Jk7IiJCyUNi0VuGsDspHfhtnw47k/7o+Pj/vHx8f9/ng+9/M8zZynqDBzTeSz4ed5Pu/P+/v9+HFUYktuajmOiaTUxgVEFOGpEzNmIvYJP3kZoIp2UuNu9qsHstk5AA4PEjjEzW0MAxklVNJH7+NMQz9MMhGayH7MrJSYSwYtHbtfetDTbdaDlCCKSDbrUbWkK7TEiolZhIlcXCAxME7rep50cpwwmHlUkT1CpClRCTemsWyZJQCUKVd49LNnmeX9/f3j4/58PnsfALXWGrecoJHa5zZyJMmZbYG4imAdZi5SipKpjTPbuBIejPzI+vo7uOLFctmSwhkkBEZSRNw9opTxGeSUCQOcaBCP8+yt9aanyiJyCiuDKtd1s5kbTzZJIkzxwiwnbSM7C1FdqsEcCTMyR32VQh1YIEIqIpDg4NHs0EO5MTEcPsLNLCDsoQEFg1WS6ihziAcjo8kY2dZ67Ge1Dnx8PO6P8zgiorXW1nZbtq+3r29vb61phJ/DjuM4z9OGfcaeEFWO5gJ9JmXphdAm9P6rCXohn4JXWT6Z4x4RYzL9K46OCrinVk4nOQ85hBqRpngHIkxEiRAe2c752oaoEkomr4WjV/wLoDRISlp0znqjVMT0+lBpT5SViKC0SG/clFVSjdTDs1uOymep6BSHn+l8WpKUljPrZ9+fe1ZYHvfHfhw+TFm3ZX1b35KW/vb2hVn62c/9fNzv+7GbpYD6py1I9g/AzHMGz2ulaYaZn0zQhXZWqFCGgpnhBErdIPMIJtEk3VxYvw8b5KfTDmgEpy6jOazb2lTTg5vbbJvx4p+TkwE58slma0dUdUaIlZpyaymGAZWpKEB1D5idJUSgWZdRbqVyQ/nDTKmslgo6DopLO6EEIoQFBShaOd7H4/F4Pp/P4zhtDCZeluXLl6+/f/nt69vXrW2LLmH+2B/3n/cf37/fP+7neYKABnQAJZpSiA6CyfMO07UBszCpr1N/YTFc14TidTVeMFdk31+AkdFOUHi4D+8gExs0ehTHpXtf+7q0JqJM7DW/pmf3dL4wIjxbvmZXOZeyFScJbG3bqtum66Jr47VRmw2lzJSDCJhdGMwRChU0pda4KS/K3SmMcnCsKl/OvFqPW2ssgogxxggz86R7JjktIrJDe9tu375++/23P77evijUux3P/ePnx/e//vnrf/z1/e9/Hs+HuUOBUQd7FomqWThh5fwmgUqL8pqg8bI/cckblFpToDQcJ1U0GCnKl/ryHIwIH6Obe6ezo/c4h/cRY0TvY8sYQ0RAlI3UKVkGwIMkSoyj6M0OIhJiZW26rLpsbd3atuqyyLJIy6uQeWwSpGEU2dIxIkb2RjFDlFRZPccBEanqXPdtW7Z12dZlSxGvcAdo9JHYoEdkhtzawkpr2759/e233//4/fc/3pZbdH+c9+f9+c+//vnXf//Pv/7zr5/ffz4fDwtjFd8MAClEr1nrtQV2dS5kJFU34LMHnntQd8fcKHmYmEzRLP5ceHxTVWMLy6LdiUCPnqtvMIMNs3XtSyt8MfHoMUZkxZ45yPNh8k1fL69t0WVZ1rVt67KubW3aMvwX0pniVoRvcAeGuXWPkcTAHGa8hKJqOK2tte7rumTeu5aKmjuA3nv2KyfsEcDSIKS3Zfvt22+//fbbt6/fNl2Pj927P94f3//1z//87//zn3/9/Xg8xhgeLguTAITqIMTFREyQgaY+QTqhzAP+7QbMf88+a6MkMiBxZkTKi2XDp84kNgfkWB/dwxl9JMXrKsbZGMtY2pL0iGrNTWzQwzOOv8jJVe9siy7rsm7LtmU7ytJSR6sSYCruG1LLwQzAGGP07LHkBO58cWaJcCJuTbdty6aipa1Nl9RQzg2IiKa9pLqktRYijcFN2q1tX758ebu9resqkPA49v39x/s///r77//865+//+n9JGHNgFa5cEjQFM1F9TnkN6UYKLkDn27A53tQ9PVsn3RkYSg+ZfE1XEtExcJByIM4xgAwMBzm5IXPF/vMNJXak5wNouS8UQ7T4Imzskpb2pJL/7bebuvbtm7aVDgB6WosvuqqblVKM/MYIGfltrYVDuU2bEQy8Zsuy7It69LWNjUiq6YWHhFnO0s7VDUXQVgWXVZNuS92j3P0x/3x88f7j7+///Ovv//56+/z+wkgNnNlZZ04fQq7FwO0cHpKcWJKiuUsyHxe+kI9J88geT5Uw1fS8U59OxZNPXqiQKYKkXo0HmZ+dISkjFPMSme4Os0rldouSNZzDi8kzidLxG1bb2/b29vt7XZ725Y1G5JnPH2hsRHhqR+SB42clNuqwRsvuvQxzMZVr9U0m6wlywQWEhVNn7e0pWk2g48p5iUqjYnN/LnvdtrY+z9//fX3v/7656+/f37/ef48y3KcsNVEBXHVfeNXmsanBqNrDsXnDaD5v4uXUPU3BFBkOKS+nWZ+xvV6mJrCwhY1gdUnufxzEYydiWp0fGZhmY9gcgqucmP2k97W2219u623dVmlRq3EdGsZHniNO8k/CTC4scrCTZe8dlbqj/6KrEmyVITkLokSk0csy7qu53lsY1jGzcLCJGa+H3s/e4w4Pp7//I+//ue//vXj58/n/kycGQAM0d3ZSJDID2UnZpS0JlfLcmk1UCFun8NQTGBlbuBsz5iXI5lS11i/ZJ+ntr2wNBWoRTgsLwoVDBxXqhvJy/g3izehiWv9W1uWtr4cZtuWtnApLtZvSUTH9MNRCDoxiajmOYoUKfLq9vHZHoSApaZ/cfLqpKdXWJbl7D2xUyYKj977OPo4Rn8e9x/3H//59z9//f3x8Z79zy/fOWBkIT5LtTn5q3JuBpSnTMVEln+BoydCk3sAdy8SS94OpgRdqn0qw//kKVAgyzzUImCTSnXJU6AYIRfoAPp1vkj28mf9ZskenLbmV5s4JRG5p3YaFenTXrpF+QZUrMJiDGDCVyPnSI2sn6eExwCgTZdl2FJhWIaI5RxTzTx8dHs+Hs/3x+Pj8fh5//j+/v6vH/d/Pvbnw8PRgHOeJEcKPASTcw2KylVmTtl1LjXOaYJwbQDNOkUSCOaaRTmQ2aHCKkWG40zyBzk7V9ghLMmNqm5dobT+jkri2DkoqiKZUzCA0jB6nf08/hWotOQYJTnL4KPmIRT1wWftPyc7CQvJIsmsSm1gWLiNcY5+nAcCo5tbHz6GGTMnA87dze08+tn7efbjOI/9MBtu3o/z48fH+/ef79/f37+/f/zz/vj+0e+Hn0YR1KhmMWEWrwC3IAc4yKuORQS5CI8tRUdEU7qYpsB0Al5CzClpGWEvbCNeHkQITI6wMBjIyHPgACd2n10snvYYn3g6Fk5u9Nprp0gh/+q+rCqOLq1d2qnpLSkM7m7dJgFztq9NaC/Ph0Aat0XXta3L0jiLceFjDD4P9zjpzD04+5nWMGserbfh9jye9/vj4/74uN/3x3Oc3fo4n8fH9/ef//x4//7+8ePj8eNuH0/0hAxEVqGWtbY5LmRSDtzyXEcOMWIiFV5U16WtbVlbU2W6NqBGPEYOXuEsyDKRXc6itK0TXCm6pLNjUAAuHhJg4ikkE/C0gsGvPfDIJJuIgnPQXF2+ugRzRIxWBcIpPGyEh5lZ772fSWefzbZ0HTFKWFS5NV6aLE1LWUjCKcjEmDgC2Za070cOH0valzbtPp7H8/1+f3//+fPnz8fHve+HHf28748fHx/fPx4/7/vH0+4HTiAAYWma1dSk9IWjVIFLRG5WqKKKG5I1nGXZ1nVb15bSxeSXnXp5RCJ40HQlUcPyiime6NvkySR0z9O0pwYVIoITTrvIFl6d0Knpz07uMus+F9OrhP+zdoTwsOE5FaQn+zr12bzeOstFKYD3gqZTI56ESdLX5J9mi6yZjT7O4+zWhxkAdxeV0/pjf74/Pn6+v//88ePx8+N8PMfz7Pd9//nY35/n4xj7QHcEwCx5V4uozdl+58PsHBFIbWx3EMEDwSX3rJMAcNvWYkUUEf9zPaRKwgSa7MY0G7Nq5u6eTNj5R5RK0dNd57g0vAgsxdBypsl2gMzSY1FipwJR0ZKpZhtaH6mLf54925kSI8MlXKShoaQkLuXWr3FKnlNbJvc9P4CHm48xzn6mzHciyXs/Hvvj/f7x8/3nzx8/7z/ez/tjPA67n/1j74/up6c2fcpPZTFZlhmTpLdhRkAsbOQSTRP5SqKkGGDrti6NiJSuYORFnZyDAmbeE4QJUiUNMyIQFsEzhCdiZhKuShY+XaWZU7g7asYpmMLJoZ9JmTmkoqqDNTbHwwrDtvM49uM4jzMHwlBqCtRM2ebeAGKVjC9ZBhE4OPnlCS5J9WhpFn59Dj3sY0TEY398PB8f9/ef7+/vP348fnyc96c9jnh2PIADpU1PVVqcYWTha1VsmTLMUzfdXrKdJWA5qc2qTfMG8HyVWvxMMed8KsR18FMSI0b6hwhE2f1BIRxDWCLD/2tHK1HLJ4B7MugigiS5RBm+Zr/xtq3rsi01tSHr4xwW5t7T/BzncewZRmIKqX5WwhWVbp06BcHcxGsoDBGqhp7c22Pbj6NQ8VHe5ePxcb9/fNw/Hh8fzx8fz/ePeBzYHSdqKsZkKxRU7E7DnMgcSPZCZuWVdnEquZHnAPYoMNkmdW2e0IrVipGIyJaVHJQUr5ypTAjGiGzC5VS/BmqyVcSIEEk5IrqGEuHVk5lHwC9PLFOLU+QajJnC/CqtiRIxHOZxAajd+jn62U8bFpFq0aldZUFBQjyYOwdi+BBhHUUkytyltWXbtrO/JdV5WN/PI5V2j+PYH8/n/bF/PI6PR3/ssZ/oXvGlVCRYq5/lOHNghIWz2avxLsdGReoGgJIgk2hhhXBjXMiAE5GS8JWJFfTgUdnlL1vgbpnKphfKqeIgZxj5KMAHNUWk5qlxgHzaoQwUcn4jEbwkUJKnl5ZkadqmDyBQiu1ajOG9e4206+PsfYQ7EYlpCXpwQEBKEPQQHsxMbbQ11mCsvCaAuCzLbbvl5MHeT4843MNinP3cj/Ox98c+noc9TxyGMaP7dkE2BGJyzgG4PpzCrOqG0xAh6Y6UyowZ/sHh2RDYX50eg5mItKaEviL+2dwwG5ni9ccRnjPcUrsjHyiQ3VKJuALwIBVotbzWoO5yjiAHewUoQkmjn4ZZXoTfgOWQ2tP6MY6973vfj7Efth/j6GO4OwHiMtCNhom7uIsPGjJyzBst1pyMhEioUctwqDCHloMC5MyMt5vtfex9PE97nL53HNc0pKyQcwpDUxAMGBHdvQdyVA2D53TI0hoqUIGTw5a2d17kkfleahnrixQxHW/BY/gVtnlVLj8pTWfzjAcZ1dEOwAClUEAZFsRzeB2DqabOCOvKurAunLYmzaq5jwEvLW+LPsZxnvt+PI/n89z3fhzjOO3oVgU1gbTROo8uY3DvNI44VDVR1Y4lFNQZSk6OQP/EkM95CGERqTd4mu/DHt0ePe5ewT4DOptSUv4TBIJnF6RZ9EIpIQ7NKUKooJgoe67qNyDvQU7XPo+THETQq8OJQMnEzKwhso/qRSKZrpUnyJoEzqRPG1FtNMEoBFCEGjRnaAdzsEKTjSncpG26rJrzwAjFg+XwQTWpOYZ77+Ps53M/9nPf+3GO87Tz9D5QahhcId88WTxWWtVVRRQtLMREhlAni4GIfvbn8/l8Pvfnfh7HOHt0I4M4STAbkQE9cAJHZluAZ9WKhEUSVWMYA1kmiUsVERSo4d6JZSNV5yBEQSV5U+2W5+jSyYKI1DKp4ULiaioUAjGHDEU56aqiZc7hBcaDAk4kQTVsLGAORqSqRnMoQUDCAmrMQonJL7e2btIaMSNijH4eEdaZs5d4pH7DGGfv+3ke/ThHP22MGJ2Gs1WjLHuwW27gGJ3H4L5gadRWhIC7n6cJdXQ7Y8R5HM/78/7xcb9/7I9HP84YLoFGslBbSDWUnZNjWonOFcILtxBhAcXgAHuQBRmoQlNBcrlza6qwTl4UH6EpE+1R/VzmRJgbABZGFFrOIFAKGQIp+1I0IWFiigB5gbpASpvmQPnIqWMgD0aohVEokRK1ECENWZJk2NZbW1ZVZSYPH6Mf+7Cq4llYdxs+ho1z6h10G8PN4EbmHEGZhEdIEPkI4tEHDWMzttBgsJJ2dHGJHgTy047n8fi439/v94+P/fH0YRTg4Ma6SltkaawpjFCk/lkfJCJJFf0a1xFgC55TQZOYTCwTlphdFjmRmIgpEVBGgis20CM3IGqRJzSWMHIOIqEKTrNyxZMUmaQ696Caglsqx5WuGQqJGxTuMIczE9igwY10lbbqsmpbRDVvgI3RPSznSNjwccaYOibjtN7Nhs/eYpqjqYiCw8kTgKXgQSMkSMHBCjG0EeO008NhYcfYn/v98bg/7o/H49wPdiiLgBpJY22TSvSaHRLAAAEsJM4anPNSiNxqMSgimCClL0t5xuf6J5hATHTp8CViMQJhDvp3bugM32kCQdMDf4KJKEPKEm/1GSdRNRdXu26WbKcAJAwlvVmM6ZpHyGnys57rqWYyuo3Te4pX9vqqYTy1LDONyZJy0euC3FxMxKV5szCDWZiFwaIIz4nn5Y3qI0BSMlskSLYtkeM1kC1tiWfVY3Z5AD6lf67AZQZ6NZv20o/FrERSDQMoUMBQowlnEvArKeL/9It++cf8a/Hrv8+Y9RVEfSqN0uXO8foA892jUKNPFbSCnGcl51WlqMeI6z2vv4irBvd6wesZfn3ZSAt7PQX9+tn+N0vzacX/dyvzy8/H5+9fvMQLGsr//X/rAq6aw3IAwAAAAABJRU5ErkJggg==","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABjTklEQVR4nGT9+ZMkWZIeiOn1npm5h0dEZlbW2dccAHaxKwuSAEgIyR9WhELh/70rK7tCYJfAAAN0DwbT03V0ZVUecbm7mb2nB39Q88hsTHR1VlZmhLv5O/T49NNP8fd/+FskZCZExAAkDAQPYGYEMNV1Xdu6mCoBMJBArPPx6f4BvUdr0VpYp1COEAgCDPTAAERABABwh7Awg3AEJCIGZBYiBgBCAuRAQkRABqAIcADAQAQiQkQiAgAAiAh3d/eIAADM1//kCxHzF8TwUAhDd4D8IQMzCw/dXiEiEIGQATggLNAif56RxRk1ICAQiblQESmVpRIRUAEkhzBHkiKlMkuwQJAHRD4CIRExChGJsEh+FPAwMzVTM2ttba3Juq7ElBtAmJ8YkTkf0cxU1czCzAEBHSJUzVTRFFRdLUzDDcC2BUEApkDAAIAAiAAIDMw92X5BRAyEAAIiREKgQIxcRoB8lE9XOZ/n07X+9K/y989/iAiEBBGAEBEYuD3OJ19ElN8b27siwfaM8XFnEQA9vym2hwB3p+2DRbiHIwBeDgUgIOVzEAIBUDi4BwLG5a0iEAJyr2SeZ2JkZkJiIkJiYS4RiBFhvauqm4F7RG6g9XV1NTCDXH1VcIUwIEREYoJwCHLc3icgAhEgAJGIkLbPCQgAhEhICEC58hCIAESQG/BfHfBc6//q7F82FD/5fcS2ZQEGkduU5+FyAIgocv3Cc6mJCAgdyCPCA5AQEBACtwPgEegO6BbhCAQSAR6BERgBBIBI2xEiAEIgDPQAsAjwvMkekLfcASJA1rYQEREJEhMTMzuTGyBGhJu5+3Yu3V1N22pdGTEQgwAwACLcAhyAEZHSiIF7nh94PhjbIxEzAHpE/mF+Q5qD54/7D6zLtvppjhDx2RD9w53Indt2YDM2m9XZvudytyLCw90RAJCICAERA8LdIFDy4RDy3IejOxAFhG/2Ky8g5Hbg5b7mfm8/CgERdjnvuD0UBEBAOISoNkRkYiAOdgZ3MDBCQgyMCMiPjZgP21oL0yriGOEWqI4IiIRIBMQowgahbrSd8XyiPJ9pHhGALouBgRAIhPncF5uTPxv26fKmHc2/v1ik5x9CysdIwxIBkWYjLCAC81sDMS1EPlh4uIeZAwAjAQQBRUS4RYSIOEK+UL5bAECEg0UgIAFFwPbHf3oO8h0DwAMAAzAwf3O5fxCO4QAeMs9nRGRmYhYRYWZiIiYWRqLcxHA3DXUCnIYxiGxdPcytgysQkDBdjpTlBwIIDwAECAwgpMsRR4eIcAgkQiBCYkSE2HZg86Pbem6ePM9BfrrLh4hnj5sPqO4BQOhI+SQRAWZghu4RgQBMgBebDwEBgESc+4KECA6B6E5hERGmiEREhBgB4B0duRRCVPMAJCFExrRU+YDpjYK24+OKCJEXXNEQAMMi3B0imBBYpPcVEMmIhA2KBVcuBTDAIW2gh5u5GrgTYq3VIc7r7K6qHU2ZApkwAMLM3cORmJCfD0be7LT+QeFpigmBEHg70nnA8NmI08VdA272dwtd0lFCbM6OECE8PAOkPJmESIEIHvj8TwAicQBcvj3c8+ow8+bDwT33EsMIwKwzMZFggIdBeBBCMOZrAFJe13TLSBgWDoiUBhUCALewCBwB0CACwCEgAiEYkZgFMAAhMAAD0AM53Rx4mNtzPMBEAGCma9foHS5rta3Gn8QnREiIFETP9x4xnh0lIjAxIaeHi/AIiFwOEgQkpNyStFrb9nz8iu1PAZ73ZYtZI57tcBr8S1RKm+FPE5LWySMcwgMz7oXNH4U7uOVPh4MbAoYDIIKpBnZEV48gcLWgQMoAz9IFewRixhvAeLH9abzyOEJEOCJYgLuLu+WhgQAPRI/I4+MODrFZbSCiPGXWO6jixbT/A/OHz5/7E5uOF8+US7f5ysupjdwAREKIYNg81yexTtqU/+qNntOC7Z4REaVVTh+52ZpMJS4bFpD+4PLDEU6brbwEzu4e8TG0uphG2BKRQPL08OYKwRSUPofQ47KJafVzP9MVXexnXA4VhruqinsAOiC6O1oEhLubRXigQxB+soKxPUH486H8GK1cFmgLJmGzFx/Dv4jcSw9HpItnC/ctU8CLkwJgzGuA208/pwDbi1188XNe9pyyRYD5ZmMgQ9rLWm527PJ6AZsX9wjcLMPlPS53LC7/lf82M8BOIdtPXIIiBM+Q6JJ8buYUMnSPT7Zgy9IwA7neu2zfn/+4A6G7qxoC8ma4CfNUeSCiMAe4d/tkzS9vHQiwJVxpFi7v7OAYCETglv9tmHcxEDIefc6bXSNCWDLI2C7SJazf3ut5O8LdLQIyz6SMITf/71sQCR9ThwwyY3vjj/fKPz1Jm10HjwAzj0Bk345ShDtxABIDggdQnp2gNDXbWXQICATLKGzb7I8BW7oIM+29CyJccrbLpluoqzATF2ZGxHDbDhoileIQra8Rl1hvS6rw2Yxu7/PRdm/mFy9XNI0rRMY6hHnqAREpAN0t8r8gLlc6LXVctvo5yPZwy9dGyFQ6w+uAT+89AETQ5c+eU19ECtxSTgCg529FDAB3h9hiR4e05OHu6EgkiOwRaA7ggeEY5A6Q+VA828i8pZegebuMgQjAZmrWhZgJmIiJOO1lpmAQQBcc5nkHEZGJwOn57KdhuiROm6VCQiK+vKtHBmJpZvH5yOfOBSIRMhLnIYgAdL8s+rPp3+zVxcU837uPXufZon3ynXCJ3YMAwOESzkdEbFf7cp3w4p7y94QZlqTJoIxVLCAjHxFipjDNmxSIhAEB6B6bNw3AYMq7kDn0xxtGiO5hZgAgVSoi0QZDEBETMgYSM1zC6S3pjMu5umRA/yBdzQfeYpLLjyIiXs4FXOxyfrd7AAFtYM1lES5R0Md8+NkD53N8dM/PidmziX+2VOktIj7FpC7G/5MN/OTRN0N0cRuEFJffM5EFhkMAElERIWY1g0xxgsAxAgI5ACPC8uRRxHbSwD95r3wjd2dmqWXImCR3mhIOQsnvN7OMDPJsu7uGu32aoH76tUW/EP8wcNz27NM/dnOIMAii4ACmxCYvVwX+BGX79AXjgghdEJ2PnvUTR/EcN8Qnv/30W+DTF4xL9v3Jn+S3IgfFJZD0yBjkox1E3GCszfqlBwoPCPMAdPxoNS8vnXkEkuTXdu0I8xYIiXAxM7dMHWADmBDDvWsPVbicJvrTw4R4iZfAYwsJPcLgT2NLJMdAc3cLCCCyiAAB4Dz+uFnchO0uNvvyTp+YIPoIXW7G7pIzxwUN+OT2PF/jf7D6f5LHbPFL1+4QAGgYEuwRam6A7s7ERMTMmfUwZfKCDmGZVm0hqyECIG3Ptx3DAAB3F6YiRYrUzTOkdQKICDPLUDi/1SHyDcPZVZ+Dv+3Wg4GDhzMGErEQAOTm5e3Ja7GhaEiAYb1r9NzszfQhQ4SrOmAAcn6s7QCkYd9SNWYCJDU182evGhBhW86RAAcEQQQ4Zr6zJQdbkEuBYGbpK5CIL5jHJ9fTzTQj5qCI7ltGBwgRrTULEKnEoqqBK0vZTfuhDubee49EnBHM1N0RmZmJ0BPf3C4ciZsIly3vj+djHap2wUAupyZDoAz3/utjFeYe4YB5Ieg5/snTi8/XI80TJGIUVCoziQgih2Om9HlGYktwPjmiW1oVAYEUpt3MCC8Q1LPl2QA7ik8ecXOD202KzInNLWDDMGFLtz61UsGMFJx/m4vPRIAEQOYWvYFHHRCJ3EzdVyIzS+9KIkXYzM3NzAiDCCIY3N3c3YFQtZupJIwGgHH5X3gEXZDTiO0uxzOAEhk5ejpAIgzHDTJ/DorSmn9qFfzZsMJm/j5esA0d3Pw6bgjFdjo/QmvP1twjPimUXYK7jygERGQyuZkjQtqyjoiIjMwTNduu8fNf5Wd0d0SUWhNU2LCUS8zlEAmdhhsT1XH0iNZtnc9P/ck8SpHD9bUQW3d4xonxEnBd8BFtvWkXFoEEg57dDkbQ89FPvDzycH+MoLOG+PHaXuKNbZkSlM813RL7gARfcskuEXF8XBeISzEjl9g9s5DnPPbjHlz2Znu8P72aG8LgjhEYG2gPiPZ8xN18u4+4WdoIh9AE3BOtREC3zOI2I75hFRhIAZs783BEZCACB3fXrmYYrr0TgWkL9wvqHZD4k5s7IKJmIsbMaa9y/z8iBBFxMePPtskzEHvegU9d2WV7PrEHmXch0RY9AmL4JepORw3k4QgRTgC+HRci2wCKywNckKXnr+flfg6tcg/M89M6pDGDzbZ8al88DyIzAmwhOhE6IEXmDwmUqCpAABDkXUPaHCVuT44Epr2vKyJBxDhUEWm9m1lbZrfmbp5pEJFd4hSKZ6MX4S5EBIHbQ11idUTcMKntTF4gLt+iaLwc4z9dlefdiMh0NGN7SsQVIsjJLzhRIHik/dlSH6DMCYVBNyeZBurin7bH+fT2PJ8RvCRTGAEJYsVH4ME2P/x8i5/TLgREcCAiDthAFKIM35791/Np2+zjJd1x7WsEIrHUYRp2XNbWzudz66spsGSxgdDDwXGrBxIhIXFyBISBAcFxq55sxTbERBlzYRAJ3PPj/smK/9cR3WUfItAMMulOkCqzXvAsiWSNOWtjaQXSdzISb/ngBdbNsu0F8twMXxYmN9TBAQCCIhwSQc7YHAkDMuRwv7iE7dhcgLLcQNzKhen2Y4sViS5rHxt8kp4SAJBgs20e4aqACETuLhJZ5thKj55B34b4AjEIIgERsUhr7O6bKyQiv9SNNtd6QS0oI3Hc3Oglns2XvAQal8Tn+Xakmd7IEPiMU9EFJ7kAOxdrhhfgL5kZjuTo20X8hIpywZw/Wqf89dkTwOUqcaLEiM/2M3y7h0CAgFuOCRD0J4nCdoAQi5TN3DxfaYcIzzAuwIEYQYjIAa235XxuralaWvaAWNpKTIiUYXoQc7FSKhciN4Rg5vQB4e4b7JO29XLj8gNDuF/CmHxU36KbS4D5MXx5Rge2K45bmoiXDdvWnS9X8eJOLpAORJpvfD4alzg449Tc8Gc8O1cu/zwuGTIzo0U6WNr4A7SZY7jkohmY4gW0u4CgHxO5SwhxCY0hjbDjczAApQQiooO7tXWF1tQsAsZx9ADtnZzTM5mqA0qtHlAuq1FKFSLy8CxGw8Wtbc+egQIRBQK5bS4Jnu/uFjQ9X+wtHMyjmLbiE7Bs+8Gs37FsEQ5vwP9WkNsK4s/2ni4pkiM+hzcZL+fBz/vnF4fBzCKCiGaaR34LVy/3cjvHEZezk2gNfFz9i19preXd3/xLYq2XT2nJsVJL5s9mOpAI0+BpICTElvGNuZk7IEgpbuJEgFiKyLZ49DHneiaeBRJC5BGNLa7cVhEj8LkqExlC5kFLXC3r+VuNaUPDwgMwgiOCIBHdvAEMgM8vCREOG1EHCAFoc+GKAAGWBtWJGCFD60uicbnEaYssD+sF3Qu63J/w3GNCjA3Nx0tKvcXSCOjuZh0jEAiQEDkxB0QGRCAGc10X1Z75ATOXWqWU3vuyLE0bEQ51MzAQ4WpAyYICYRQW9QBwuTjCcAACdMTMlps5IBYRZnJVUwtVdNO1WVvAmmvX1l27CIy1YlYYIoQ4WDwJb4QQYdatm2oPcCGpdVLV1ts4TcTFHbRbIEipRQogqJm7IxExb7C2aTAGuLmrhbsyRilVpKhZKSzMHq69AYa79d4LCyOraQQggSChs2rTrqYt91GEWTgizNQsiJhKYZIwt1CMYMBSCpcCRAHoQQ4AhIFEUuo4EQsgpZdq1npoRARFbx26CQkwR7irhhsiFubCaZRsXXVeF0GkzS5nNAIQgM107YoAhEQY1s26hhsBELiaWu8UzkwEghgJmQYhEDlTEAMywnM5AcEQMMLNg8IpggOIeSilmoXaqm7hjhBMDABSCiK5ezc304gAIqaBpFDXrlRLHYcBEWJdpUgtxbSrNgAgwiSFxSX2x61gtF1RZoAIVUuDZ2Zduxkwl8oZiBEQs4cQFmZickS/MAsDMAK5lHG3R+YIUNXeW1MNVwTMxDXczAyNzKP1ruZIEuJuHr2r69x6612eIXAgRN9cqielyKxHOGGszXoPc4FgIkRwMySotRJU1basM4TXsZRhRGZgZpYNdEAkospFalVVd1/diaWU4sQW4IRYChoqhGvncACqwojkZl27qhJiIZJaCdGK9dbqMIhw72uYOZOH5weGgKGUsUjvnjcpq4Lg7qYWDgjJw8zAT7WbmUckXyvMLYwpnz+tUwJXYYEe5ESIDMRIzFKQOQNZC6cIc/PYuI6ISBAQ7uamqqpI0UWpdTBvFumvJTGRLUbMGwY81Kq2eUMzN1XrPawDRFg3M3ULi0JVqjiYnz3AhKfdNAEAkSBXDzd3cCAkKsxFyFTNzIyIHODxfDJTJKl1LLUyoYd3NbPeey/MTDgUqUXCk16bCEIwU1uWs/Xee5vn3W4S2rl5b6sTKiNzQURiSkYhhLt779a0mylgsCCReKiDRbKvWIgEAAPRIRgRmQHAATMQss01ARGTFGLZwuj0UsQR3buZqbmrdgFgEfRA+pTgscXwEODJioCPdbkE4IExOISZgpDCwQPcE+VLi27h7rEss7kdaEckRIxIwzDudrvkRyELmmuouYb7JTaFQHKCZVlaaxFBRJURwtdlUVUS3u/3N9fX7Xhs57NwvaBAyVB2AADz2O782vuqqiL7aRxMbT5zIkHMIMKIDMmXCrMeHmARDsBESBwB5mEOiCy11jIgkqqZmkMEEidKBGgBnhDehd2UHHvzi33bqAvoFqp53BWJIstLGxpHWwKRLCYm6KCqQrQFKRt9EhHDXBVMMQyy0v2Mc4WbWmI8x+PpfDpB+GG/L7USYZHKXALUNLkKaACr2dqamV7QYQiPx8eH4/EkRaZxvLmR3SgRoWbWNZYVZR6Yxmlw83Vd2trcvdY6jJWZLcy0hTm4uWmECeFQpSMQQjdV7YjkiOagG9kN1LxbmAMgATEiJ54TyEjEXEupAKTet3iUKACfS1EQCZlQoASQAzqAurO7MBNJEXepnTSi5wqb+XlehAkAPcADwq23jiICCEwIGO6ycQFiC8QQMRSsN+/d1S4nN+GU5KY3ckekta3a1io8jAMxM6NDLGtT1dbNo5FIhK9m57WtbU0H4GbmPs/z+XxurTHzy/P59eef76adIZ7X9cPDg3333a++/Pz1i5u+rm1Z5vPZ3E0HpqBSwizvIoKHq6n21nRdTVV7630lIkT2zb5kZO9mbh4eBAgOlGGMIHtvCADIlmUCJJJCRCyMgUBBTACk5ubogY6EzEB0QRkAGIlYoHiJUlS1g0cAaVtOy6mWIlIs1y7pq8IeSBXdzc0FmLYQaIv+gRiEs/gQjJhRVG/rOi/W1mU+F+axCCCZx9p7W7sIIVJbuzuo9vPSukOtlVlMrautatpV1Vrv67oeDlc30+7bP/zhzY/fLetvr/b72+vbq6v9OI611Er4xz/+cX56uL46TOMowufTqS3Lva5jrVUEITDMtGlrbVnOx+FYS0T03iGbcJhLnTiwq4W7g2MwKKMphBMjitRauThxCY8gVE9eKVOppYiwOGzEEASWCLVQCwAEYtqKSGCOqEH8EapCZARP8NvMXZ7Rm41m4WaG7qi9t9aabGXcy/8BgJiLFBNVB9iALG29Lcui63I+nQsjTtM4jkWES1lbd2cEAdCm1ruua1MLUwOk1tp5ntfWu2nPhqfW/vDtD8fTkYhI6k5q6/27739Yl5mZbw43Lw6HfaXPX17/5pe/2n8+cCmn8NPxsfd1qPVwta9DZaIksYRZb+uyLIhgZgliXRJ0SrplNi6wICBHOCAEkjoAMJfBI8xNzROcQWJkcSI1BccLzxUDACkQCFm4FESy7h7RzckDI5PxuOwEiZRx3JWSqYwzB1AQMxBZuPd2Pp0eH5/kAuZsFHZCDHCMQDdwi41B5RmTIVERsd5O5/lqtx/G0d3aMkePjCQCwiyYShVWt9N5vru/f3h8XJqqWdM+z/O8LD/99FNb1y+++OKzzz6bhvF8PJ4ejw/3D9p1OS7r8fTVZ7d+fXV6enqLYKoPD/fz6YjgPk2E0ZrUUs1Ne9Pel3kmJjN7fHyIgFqPDtIMlx5qQIQiwsLEifs4EiCzCNex1lqZOfO7iOBAc23qFj63FQCZC7MACyASsZRamBlFRErl3ntfm5lBuNuGRbEIIYhQKSXhRHPdYF4RIOrqzfTpdLy7u5ePSDcAehCiua/L0tdVtafnBQ8hGmotTIX56fFxXpZXr14eDodlWdq6dtPqgCgQEa6l1LGOyzwf+/H0eHz/84eneW6qrffzfL57eLi+vvnVr7+GiNPT+enhaL0xyGe3nxFiYRaG68Ph6nB1ns+Px+Pp+LTO5yp8c32opYDHMp+1N3c/n8/Hp3NrbV3Xtbe7u7vWWgQ1w/cPp+OsmZDXOux24zgNnDtBKFJ2+/3V9dXVVZRS1Kz1Hu5bVce89bZoAwSWIlyAWbiUMsjgo6EHEPFuHBHJLZkQFIEkXiIcLZmLpuqh1jdeAiEScwCZrcu6PB2Pj48PIoR5/HXDWa23tS/zbprWBR8eHkx7b83MEHEax6fel3V1t5sXt9r748MDAbXWD1eHYdq9e/9O1/549wge11eHsQyH3dV9eby7u398Oqp7IBAQBba1r+u6H3fjUGodxts61tLbOh+fCOPnNz/dv//51cvb//af/DevX726e/823GrhcRz3u532VUTM9Hx8+u67v7+5efHNN7+ote73+3BwoN31VdT9LZR17d9+9+3949P1zfXr4fMqw/5wkMLhRlICaGl2PC/Hp6d5mZFwHEZm7qoWvj8cdvtdHUc3f393fzgMJHJ39yByurq66mbz0gmhljJdXYUbeJjqMp+eHh4RCYl61wgj5KFSALSuaCGVCfHDhw8/fP/9h/f3srngCHQ3M8jGvNacWVvr60oIRUq4z6fTfDp99923H96/v725fvf+wzLPH969H0oZp1E93t/dv39/387z44cP6+l0e32zO9wsa9OmhcrtzQtHXNtayrDb7cdhIuA6jCUBRHNXI4eBSh3k6enD+6fHru3ly1dfff75i5cv1/mcLHlh3o3XIrQuSy2FhVtrZnZ7c13KwFLntQURkkiZpqtbkvqHb799f/egDp9/8YUjE1NA7HbQtiqwmjsgM5EGRACXShjLsq69e9y7x+H6hli6mpQyn88ZLa2oIoi4Y6LeVvAI067aVUWGcRgIYl4XMzM3NZvn5byuUsq69vm8uEetVWIL791NTRUs0HwoJVStrRQ+1EGKCOMyn+dlvn+4X9uKSH/88c1yXub5tBuHF69ee9D7tz8/PjweH54e371bHh/v3n746ptf1mlXpb7+7PXh5UsNePPTT+paylBL3Qh3vduyLOd5MS2IY6mMvNtdeejpPP/Vv/8P7Z/8o19+87WZj7uRmNx9mkZmNO3jOH711df39w+n8/nV69fTrmrEcf3w/t2H4xKLPe12hy+++OK8tK7eNea1Iy2AaBHnpXftqr0UuTocrg77UjkiAklqQYTHx4fTfD7PC1O5Otw+Ph676s31NSIdj8fe+9X+UGphIvBofaXY0oZSSx3qOI4itPS2znPvqqbN+jI3AEDg/W7/zde/aK3JVr9WczNX9W4MeHs4WO99XVphYiTCUuTqas9Mf+Z/3ta2m6a+rg/3D111ml7u93sAAOaupmoQKCSEeLXf3758Ne52IHL94uV5bY9Px0BwDwIcxjFMgQmYdKG2nBmAiXpryFjHXT/am59+ur45XF9ft/P5cNhPw5hUCSLOZujr6+sPd/d3D/cvT5/Vcepmj4/HNz//7LR7d39u/Y/zug7T+Gf/6B8JF3N/8eIFEf387u37Dx9O88nDRPiwrGvvu/2U/XvHUzDjNAwWXupQy/jzzz+fTjMSrctyc3P79PT0008//fKXv5ymqYqMdajDMJU6SFHrR2ZEsPC1t3VdlnkFQJZSS229e8Q4DjcvXqrHPM+SSAO4gzlYhGmohYdpB3fwWJd1trOaBsLhcMgP4GqPDw93d3fa+6vPP5ciwuX25uXDh6dx1HqLuNszxFRrb+3h4eHxdGp/+O7+ePrxzRsqkh7lsNtjxFTkaqwFET2KSC3Su7rDOEzMfHf3/sOHux++/wHdvvj81bTfoce6rghDAAHxOEwI9Pj49Obt26ur64fHpx9//vmnd++43pThMOzL4+ksSztc37x8eX01jf/8X/7Ld+/e/W//5n8/HY8OwUIR/uH+4d2H9y9e3O6v9oR0PD52bV+9/oyFb25urq+vv/v+j+E+7XbDMHz55ZdXh8ObH39srSHgWGoRRgRBEMKu7Xh8WpZz0r/Op3NXLXWotQaCRZjFtD+8fPUKEJ+ejhK9Q0SooSqqYkJvazNVjCgi3tZ1XVvvpRbZyctXr8ZxPB/PAUBSAGkcp65Wy3C4ut5Ne3bgUsUsTO8+fHj78PDHt2/fvHv//vFpUaciwzSta3PT2+trQdrVcpjqyFIJr6eRIdRVwWqZ9ofrly8/W5b5hz/++OL6StVqHQjg6fE+ezhJRAx2u93d4+P3P/x4c7vc3T/8/Pb9vGrBfnszlnH3cH9/Ps3Dh4fjabl9+WLaX181e3w8nU5nLizCra2n+VQKz/P88vUrYb77cHc6Pi7H0/Vhv5zn4+MJPJh4mZe2tseHxwgQ4VoqIbr7PM/Lcn4gqsKq7e79h3VZhlp30wRE4zSWUkXEAWox4yi1llpFCgBK9J44A6iCKpqTh3uEORENpbhpEUZEqQUAHELNlnU9nWc198D5vOKOzAKQ9ldX6BYLMICafvvDd7///ofHZfnw+PT27qFM01e/+uUw7hxPbV1lHK53+4HJdD0uZwn3tmpbpUoH74RlqC9effbu5zen8/z5Z688IBykCjIl4CvMDfXq+jDcP/z407ul2/3D43le67CTMhyP5+X+uCzz6XQKx4en8+7nt//23/6VSLk63O6vDoCo1vF8bO4IvnZ9Op6ZcJ6X+bz81N4s56sP794D0J/9+Z+XYTyfl9P5/O0fvmWWX/36V1999VXc3Ay1utvDw8M6nxGdiNqyllKkFill2l2JSER07RBIxIGeSTuLjOMo1hUiwrJq465KgLvddD5H790iwqNK2e+HOo0AwETrut7f37979061E9NpPt2+eIHEXdf94aCtr8ui1pq1p9PT2tf94apc7Xm35zp88dVXCSpO+93rLz//s1/8alfl4cPbpw8fdD7puj4en3a7XQjqMuMT3h6uSqnqeri6QqZVWyk8jXsA6NYCyDyGaTdOu9a13T8cT2cAKnWgUv/u2++/f/Pm1YuXpQzDMHXzD3cP/9P//L9cX19fHa7/7De/Qab39+8eHx/m+dT7at5V9bS2ZV0dvK26ymLMHvjzT2+++uYXn718OQzjcl4CYFmWv/qrv/rqqy//4i/+/Ob6oNq7NkKYpnF/tX/x4nY/7cJimnaENK9rMw1CZs5+Tohg5iJFvPXIZNzV1c3MEcJomZd5WVpvp9OJRcb9bpom7d3cuqlHzOtqHiyVpQ7DxMgASy3jNE16KssSGi5jvbq9Ga+uV/enpvfn+dsff3g6zb3r4XC1n6/G66vXL26Hyruhgrbj3YfH9x9QkGo1xGVVeTkAcVNDFpHiDqo2TmNbm3uSDZ2IuVREenh8WtVIhm5qtnQzlsplOM/LvLaba9ztrr7//o/L8ndrb//u3/8Hd1PrgFGrjNOQ2AoLXR2uOHbRloFprIM7fP/ddxHw5VffnJdlt5vuHx5+//u/+/GnN3d3v6lDta+/7G3N1b+6umLmq8NhGgZddRiGCCQ1JhkqEZGZAXECsNM0iW0myEzNNatD1s3a6ZRFUYhAAJEyDIOqtrUh0tXhMI6jmTHSzfUBIcINAdZ1IaJhrH1h7Pjqs1f7Fy9A6uO83J9O9+fj/f3d0vswTiy4LGfCGMfad9PAr67G4d1QHu/u1O1qHKlW1V6HQdXu7x/vHu6F/1K49m7TbhLxLEIIl6U5cxl3ux9/fgvMInw6nYJst5teOJzP5/P5NAyjmq7rcj7Nj8fTeVl+fvszE17fHMZx4MLjWPb7abfflUHADbRNBB4eZrWOQ6nHx+P78nbcTbtpeHyK3hchirB1nddldtOr3e7Fi5e3tzdmVkTcARA9IMtypdSBeVmXp9NJ17XU6gHERczbZn+yFqEaqtG6aC/DiFLZIYSHMhBIBGnrwyDX+6sXh2tyi25XY23zUZAL+sNyRA8RGqq4ymcvXzjS6kZM59urvp4fzysd9ldXV/vdfqjDjhB7g94ZYixlqmMpBQLHcRz3+/l8FObe2jyfTY2ZmcW6hyGSCFfhzqIBDZDqMCARiyDRsix1lH0dGsXPH96WUndDBdO7D+/MotZSx5tS5HBzePHyFiEejo/rMps7EKnGw/3d/Hh/O9SCIMJXh8OXX3ylZutyvn1xgxi3V7u/+M2vtdv1i+ubq70ABOFY69Vuf7i6auvqFuZuSUo0DwhgQkKH6NpbN16XVfsOUbouoepr866qLbqyRTEoAT6vyjYgo4zQYT03gsIYYIjgV9MwCvd5jnU21TpOw1D2Qzkdn7QvIjSNVVS7GrhfF9L9zvYTzqcPb++X09NXv/mzP/v681djLb3jMj/e3z/++BMCfPPVL8zs+vq6uy7ns/UV3D9/+fpf/J/+eeXSlvVwdcVc19MJQIZx/+HhSS266uk8v3j5sofNayOMAqbLiXT96tUNSyFB1TVVCRKxnXZ1dzUh0zyfHx6f3PT65vqLz7+cdrvH25t3b36A82kUIoTz6fTtt78/XF+/ePXy/PhARNNQDl99bhZcRMKjt3EcK7OubX48lVrqMBhQ80AiZAf3tpyXeW66SpVpv+MyABeXKt7O3nuW3V0VuqKBBBGQJlG1CCJTUGjQ1uDiahZd90M5Lqe7tz99+cUXU+VlnQt6FQrCIBz2Iwb1ruf5TOY6lLg5HAp/dXM91PGLz1693u38dDp1bU9P0ZSIhjrggOf5VFnGsbarnbW+nM5jkZc3L4RJ1Zd57U3XdTWzptq6sUhSVD77/Gpua9w/hAEFRPRJYD9OKEUt5rVvHS8MZr6sZ78zfpKltfP5NI7DMAzTbndzfV2FxFVPT+wa4VkAdVe3zhT7/VhKSmEJIjJLFR5KKSKYjW+O4QhMzOSEiE7UAcJBAUKEy1CpVhBSD4nTKbpFb6jK6mBGDgicxQlG9KRPZVUzK9xmpsu8nG6ur7zNP/zw3Z/9+pdDLe/fvY3AsRa0qtHHcSilalci0NYG4Zur/cvrm1ILkYgUBpiPT6213noVmXa7YahmDuhEONby+tXt3bv7+Xyebq8RYqhDa+t8PouIuy/rejqfTZWLlCKl8G63cwwmZII+N7dehcowyDB0C0QqbsCVSlXzu4eHZVlmN3WvwrfXV4erXSHC8LHIi5sbGAddzxDOzL33pc3hPo3jixc3ra3n80yJEtCmNUNZCRJGpGzeRs5OWGRGYSrCWdMHIhIBpG4q8TiDemgHN3bACEZw+kR+R5iEgSkYIAmAkf5ab25v2nL+u7/9z62vwryurdaBmUoRiqGUWoQBQgpLKaXWAGSWWmtcqJZZnq5DIeRSeBiqiNzg1Wk+mfVpGr8/HxHj+vqQVU8mDODC4mCzaVsX7x0J3LppX+bTuszLfH56fLTVwKkO4zjUYbezwFqHQCzjVMa9R9zeXD8+PT2dzt10GOpnL1/c7qcCHm0GN0FEEbIiTOM4utvjKQXiqtS69rb2jlyEOcCk+HPBBKmQFJHqRH7pHXJEJmIkC7tw9xARIULgNIM6mSFu3OkLXxaDMZiACBmR0ZAAzN3cDRGZcRp3837nqncf3vtBESHblymTZIB+4QdM0+Tu53lO5A0Qi5SIEJE6DNkbm7llKaVUXvu5q2JgX+frw+6LL15jeGsNAcZhFJHWGmAq6Vifra3NTN/+/JMFaO8PDw+VhqGMwjyUsh9HZGnuJGXc7YdxCqDPX3/2dDrdPdyvy0pMV7tpKhK6tg5uGtYpHAGLlGEYWGiYBiIqtSSViAjD3RAEYmsWQALiIAImFMKLBl5W5yjp+e6hJmpgnqUbodOKHhRATIWIeFMPC6ZgCsZgQNrKmh5uYR5OGCJSq1xd7Q6H/ffffttev766uh4KL33NUx+mbo4AUx3GUnfTOM/z6bTM87kUGYbRDRBxGIZpmoZhYGZPxklbxyqFY57PbT5//tmrX//il+G+zvNYqwirdu0NPAjQ1Na2gvluHL/99g83L24/e/ny/sPdVHdT3Q/DtNtN+2kkKQbItY7TjqU6BLPsxrIfyjzPZp0Q2Q1Cw917BzeSMk27aRqHQcZp3O/3SDS3+Xyeifjli1ceiEy1DsM01jpILSgchAaAHojIyMlzTtrXpn8QambmToS1VimLEWLKKhZAZHQkJzIizx6TS3uSRzhk55VDuAhF+DCUL758/ea7Hyjsxc11YWgEYSFIQZRiFvlVRKrIOAytTbXWInVdm3vUUnb73TRNzNy7no7n1vpuGtfFf7q7W+fzr77++svPX+f5EWZCPB+PXTXcBSnM12UlwJurg7U2lPLVl18cn54qDYUHkbobx1qERBBJhlpLCYSmGm4V4nosA/q6uGrHcCZCRg0Ep9043d7eliLmWkt5+eIFC//404/3p+Xlq5efvX59nhdgYpFahjJUloIbhRTUQyjKRn6BAOBUBsvlTBUKJCaWYk6URJlUqUPbmnzcXd00UEIUXAMpwnDTyDAisN4Y4bOXtz99/935fFyXuUopzBSGECyCSGbRe+u9Z8tRrWWaRkQCwDrU9FvMjLRVa4excjm498f78/HpznStVaZxKEwy1HEYBElbV9MkkQCCuyHCONTdOBXhWuXVixdghE5MUpg2ZTGmQWgoFIGhodqJsEpQEBn1QCIaxkJEvVMEXO3314crBDjP57BIsnbyDOtQD9eHrhYIxIxEgeyQ0lwEKYAJ2UoJDkGQHOtNThABmAQB1VTEAwkEgWjrhdsa+ZAdSKFHELBgESAmvMiYIBCigRHB1W736uWL0+n0889vGGEadyzFVLO+mrWu3tfWOhEOwyBSs+dlmnbDMBBh75qsIUSSwsM4fXj3+PDwAcAPh/1+NwohM6a8bISLcECoGkQwASFYOBO+fPky1I73d1MtphiGzMRCQkgIxFiLTENBxMLZ4AgR1oUnRtVKiFIYEbVwBEz7Xa3FzJgZiXrvZhrutZYs5TOzbzpHEZdO8GwnICIEcFMwS7Q/pdq23gsgIjb38+ksW08TASCm4IQ7eLgHuKE5ehCKklq2XQixMwWiMG5ScYy/+uUv/ua3v/3D7//2ahwP+ysufDKNyxcSZshMRLVWEQIUQhrHwpzNzQoYIuQevS/zuf3885vz0+Pt9fWL6+tXL26zz8isn82EZRgqAvTW1ZSAhNm6RcQvv/7muz9+9/Obn77+6htndMugqwgnxykGwakKMQ2M4zi46bzMnSAKU3IIM8xQciARSarJOAxlLOG2dmWiw+FQSs0ropf1THHcAMjqImGgu7cO1hHSdWZynFQ9YCZTnc+LZCeFAzhsbcrZFZVM0Qhy6CAK6swOCO6KCKWUxS1UKUAKf/H6s5++v3r75s3D3d3t9c3+cGBJxVh3d0KqtdKlCyzAi3ApNcBbW1QtPQQzr+tyOj0+3N89PtwXkVcvXkzTeDhcqXYEULXuUKSUUgFJzbQrAhWp6hamNzfXb37ip6clYzkCLIWzSwIikALd0FW4lMpXUzFFDDVGRGJGCEilYBcOIAtQU8qeG0JtTV2HoVwN41gHAri62hmgJgMb6LmZChwD3cxQlVzD1GITXIqP//JQXVuTQHDYBBXcwcABgyib8hOnhuBGg0JhCzufTsMg+/14Op3W4+Ptfnd7fSCPX3zzC2394f7DtxBff/PLm9sXZm4Qpm7as3kIgCHcrWd3j7siEnMpRZjFzNZlXZelr/NhvxuKDFVqkQS8IqJI4SIUZJrIobulOkUp4YB4ms/jMNxe36xtVQsmkcJIMNRCgObe+zqfgq/20zSt60yI+91IQADRVXtrgVCEiTmQllWJOIC0t2XpHia17K52+/1utxtKYWLOFtSu1s0DTAKYuZTCgOSBjEyl9a6qXKWIBHjXPkSsrRGyMEk3jQgDVAcjCAByJ0cWN3JDViagKpMRYOWyGybmcPehDlBrmJ1Pp0p8c3P4xTdff/fd93fv3wvLOI51GHe7g7s/PT09Pj4dj09EtN/vd7uplIqIgILAAOGuy7L03s37bjfsxtfv3/3s1vf7F4erA5O4u5uWaV/L2Fo/H0/uQcli84v2QamD6jhO7pEajyk9Au6+8aISve7al8aQlt2fZaHMMC6a0GHmrtmixEIcBSiQSi1DFWEIV9NOwoQEhCEMCJB5MFHqIKE5aipmJb9t6yDdRBxx63KV1tXRjNAInBEQxVFSsQ/CwJQIYJFxjWHgoUxl8Gh9bUMpNA6+zKenBcfx9vowDWNYfPfdd8fj088/vdldHW5ubsZxHIY6jkPvi7m6a4Bf5KhSBcXN1Vw9DNCJAokIgYQOV/vrw8Es1rV7SiWJRLemRkhEgixhqVKFRSrvaJ5nMy8ihTjbdrQ3okCQS1tmmLa+Bg2jOXY38NgkCQAz19HmzV3NKYIwiJAKEksdaxEhDNdmCKUWBGRkYipMQEVEGCDM3By6Qu+wdbxvvYGYvBpmEcneYOlNHTNmI+BUtyUBJgt1CzcFdGCsZxIpMUEhAPCuYZt4VpgjwFDrbtqtn3/OzO/ef7i7v388Hh8e7m9ubw5Xh/1+qpXmZVbV4/FxkXS/GgFEVIqICBHquR9Px9PxqRJ8dvtyGIbsCmZhQFZzUo0AqUO2iAAxUnZZkbBQKfvdvrUGhFxKRKiquaqCMIgIcepmZPuvecQWfQEgCzIHgHl0NXVDpAB3U0w2GSNiEAFlOmWGllqhyCTJKE2xhAgwNesNrAdeROPgclU5I29ClgAX7+YEQYSMEZCs9YDY1CkdAsCgtWHlqWMpwoWJPFCb6moYmK2W87wwSynlV7/61f5w+Ptvvzudzx+SK+hxc3sotWzc0PlMhKWUbDItpUSMERFga1vO5/Pjw/1vfvHN69efm9myLEgiRRC4NzVdkGScdsfjuashErMgMYYjsjCXOtY6BAaXklpRsTWwWnZRErIIifClMzEAwCAwPKNAc9dwAyySUY2abl2j4RwhALyJr7jnHIEIYkjJB9s6lMyyoxCZU+zP3B0C4LlzHYipShHqyQAOR8v+D1dbWkekhqQkTuygvmo0Q4OCQhSOZKq9t4JBRO52fHqCAAw6HA5ff/V1KfXD3f3D4727t3V5uFMzX9dVtRECAWFELcLMANCW8+moqi0idtOwG7/44svP94f948NTa50oBhIWycgEHZhFNdQ8R0GwVAvfpNm3mgxILRYaQK6B4Ga9NTfHbAEkwsBnoeN4VtxLklSKtLNIyt4ApgI+IfrW9uWG4OE1ujsRmqM4eCAUCPRNJszAnflZsXfrfk4ZsOwOKnUQahDpyBwsPAC0q68rElupXgIEHM0WtVl9MtBASumZcHND58AACkwo3Obz+frm9quvvt7vr26P18t87trXta3znDS03X4nIkQkhRGpt/V4WtblbKbTNL24vT0crva7ycNFxMzNvKtlggbB66KneVnb5hWYqdYhwJkv+kR5F4QQKECc0KybqbWOCpiipJfMM1JU3LOBCSxPZopqESJAwU3eRKqwMGL2uSgSVhFA9CAiManClVABaGsIcIdNV3lrf9k0uwizXYmQSimCq25ZnEOYRTK0wpExwVBED7W+9OW8YC1UqQJ7dh0HuZt6DFKmaUSAdV7neQF6GoaRhQ+Hw36/U9XW2vl8Um3MUodSSkmRHlU1w2GoCadP03R1dbXb7Uy7dRURdzDv6h6A47gjKr0fz+cn82CWCEBiKUM+jXmPyy1PJUYpFISortngo9GoLX0GSSkI9k3GBRzIkYEhW7EJHUCJgIURCzGQCBNFeNaWEahwcQB3ZBQRc3EiBUDk1HcIcLdgvwg7+KbPTMyEvGUqossKqe1nQe7hgRAsEIiWne4W3ly5xTzTUPgsLCMjMzKn0AsCIUopvPUswHw+H09HYpIitdRxHBHjxYub3lrvXV2ZCQBbW7K9/erqqtZaqhBhRKzrHGapSJKCVbSJPjCRpL4FIVt4UwViLoWEiGNdMfvuASjcIWW1mQQLAhiguW6EfTVCzo4/j1RGJBSiTFY2XQVCCU6hg22sg4ZB9iWA48qLRriDUC3FowRx2RT5RQAgwNlsUy/2TSTjMiaDAdHNxc8NI3uYUfLqIJg5hDkkZZmcwwixlUTJh1JqrY8PvBIhMGGo++l0dvN1Xvf7KyRy7aVIYUFEVY0ctEJEpbBt8j/EXGuFKCxUSimFEdHdDY1KDfVlXue1R/AwVWJurSE4It3c3Kj6eZ6bWQAws0ghpghITdsUwABPaQAUKcjipfTeCECYmDHAVbU1VQ8kKRWL1EISwBaKgLWIkCO4mWvvEe2i1ZL7Bm3eqGkuhgGMHO6Q9RMARPDQKOjg7gbImwUiYeEiQgBqJr5odoYhYvJdwaHbJloBBEJYEIigCk6VhoJVoBSsVQDDwkXEAU/z2teGAFN4zqRhJAQM25pnM10HxMsRAyQqjLkcG6LlwCRlHBBg9ZbxCLEwVQRSVQQgkt1u17t27dIIEJmp1sJMqh0AW+vqHcgAjAXHodZSGMGNBxEMgHBrCyC7A0YUZBEehzIMlaWqwdo0woWJPCyVxfpqppcq7TY5o3UFx0B0dwUgCJGKxIDcQxEd0DR7dHBDmjDHFVmQAwcChLh6AEA2BROib+CZRgBIkSpjYQEfS51kP1Ih7e1sgFzQwpa2Si2lVAhCoHEYAKCtq4eFR1EXqcxVBvRLOc3dRYSYem8BITLspkqIva2tLW5OCGvT1qLUHcvkOQfEUWoVqe6gZhHOhBuGRihMKaehbk+nk7sKB4DWwsOLW65MEeBWylCYz6fj48NDkTrUrAVdDeM0jjupowe11qEtrVm4de9pNs0VzLK4CM9i+EjCTCJhrS1uZsPodRgsbG09QMeBWmt1mKROBgAOG7axqhUbGAqjRAQkxk+bvG7mfBEOhYk5CMEttEUXWxdnhWpDnQA9BzJtYk0Xnf0IR4QE+SLAPRAdgQIQgJMcCczEPCBlX1zCuMISXFpb1zk5D5AjGZ4nbWyClATk2Z1nZhoA5IiMKUEqInWobrTOp2U51sLTMArxbhyGOgL6UKvgIdw8onCpLIVRADlCwlOAbyyV3MAVDMhzzBgmHwERIDYN0fzQmJ1FpBiSXeSIHKBELkVSUD+sa5gpRjAzV6n7cSfMfVlzA+h5zEgAUZEyDujhBYFZITxMPVBXbhJEOOGwG/I5CDEwpSU8MONAJyTZBJXA3BFT3iIpBMQoyCjMhSsCRFgKwzERM5na09OjKhIPzFkCyBDpU8nSnGuQ6nnmAGwsIMw8jtPhcAi3Y/g6n7J9rBSZxnGoQ9OZiIZpBxjrugAQE4O79p7t1EyRGQUTuaXiYD5zWM4T+1SjCi+6TpvcYZY5nLM3npGZgZ5FkDCVM5hZhIuwMAejbPOjiEAIiAAJmUg2OkqqUjv4poUGW1KZgnObliZEpNzPRZ8k+2W33u8IcAdChKCUS2MCwIyCmdC0aU+Y3Ltqa+vpdEYqIw+4aR4x0QU+cLecPJVkEKLYxjUEAIjIOI77/R7Cq1BEf3p6WJa11GK2xTtmVoiHYQAIN0Akj3Dt5qHmwuZAampuiIBMFEREwZG1xmeZvO0S4KUWk5CDmZsTBjIjQ6S4ENIGYxEBCCFGWOsrIUhhASEkQiEURmJACkJ110hVvZz0QpLd/LV6BUZw6wGWVuii+IUfe+63flnCy/y6jCh5m5CHDpEFCAICQkd001X7Mi/r2iKciURS7jd9+SaOnnoMloqAly9/hlsQmbmIIMJuLG59XZfzeS61rMsyE7Bgb50AShUpJRggKBMmDwNDCAyklFkpGRQzsTMARNimGQI5aA6BKPCiA5YxhOf/IwdROQAFEBByCS6Y3B4kVVuWOdwESKAwECPL8wY4oYPbRanTMYCACkkVGQoUBETtGrbJKl4UWX2Tm8BUXQWAi8QoXTQAAQA959h4eNfUuQBEUNXj8Xg+H7U14VJKTarTs8jHVlzbhlRi6z1781IEABVThCW7golwEN7v9sxyf//AQkNha+tnn79ItYSpjIiYvCT3uEhlCyEHEhA5UQ734U0oER18m4YBSJyVpWdVIrjInXlcKEJ0GSXlOReQhKgQsKPkiIBlWdbzWVAEmZELpL9FCiJP58cItGEXJCxFSpEooOC9N1dNEaMcspViW+k281ZeRDkT/UZ8tmBb2ci7GxiLkKrO8/z4+LjMJ2HejTspBTf+gKcsMvOmSZKSKb31dV0Tzss1NUvKrgzjWIQHEcK4f/jw808/9t6Ox2P0/tnnL9OCM5GBEQIxcZAIRBCSMHEgmYNqV20BF4oUoG9jj/z5QwUmhPHxLsLl9hOScGEp5uaBYQHszCgsJJVLnXbTfDw9LbNgEUQBYeDnhCy9MQJjCq5sb0nEgArZ2K/uCm4pD4zxLLGMhJR3Op8IL1oJaZwwBQ63MQeu4dqjr8vp9DTP5xR8LLUgs2+DvhyRCbeSMiKl0+45YjRnnASk6lWarHEYp6mOpe5349qWx4f7eTm31gaR1nQQzuqmqiJhIcqhBXlPmSlQUrvOXS8Gn9ndnD4xexfR2k3OeAsUPna9XwSILMLUwzWISbwwlSq11t0wQG/ngQWJgBPlA0QyiADnnCZGCAiJD34c9uE5r039ouz6LFCfIXIEgtPFPft2Q+KiuosXJUSEAAKPdV1Pp6fz+dx7TywzA+1to2Cb6nnxw67a13U11cvHD3MztUwjkzNR6zCNA9Ok9uX5ePr7P/yX5XxCpNP5xLtdZWqtuTsBecrvxza2MeMcD/SctwRbkgpM0bcJnHQZ2gSpuZih8SZAmOYKL/c9XMHUIQlaAYQoiIxOkbQZoNQ5dETH0HDzsIAeoXCZLxWeQAITCTEhgId3CzMwTy5pDvVERBbKlaeL8Gxs5sGexVdTBpKQsrmwtfV4PJ1OZzMjYhZJVDnHKj5/pIQBPGJd2+l0ar359mVtbefz+XQ6nc7nZVnMDJEhUKS8eHH7i1/8wj3O5zMAPj48JlWytZUowzBCvMhXWe+9q3a1rq6OKVue5x3g4oyePRJerjwSZUiWNghSkjFgXXt2EyGQJASHgBCmXXs7PT29e/uzbJNjk+GUOiLMILy5l5yEiwge1lTXhhUpANxFqDCbdu0mLBlc9px/RQg51A8uYfMneDgCEESyrFVba8u6zL233TRdXx9Eyvl0BmBCScswlA1QMvNl7fO8XKYcu7ur6bIu8zwvbWm95/SG1vpUay0coVkpEsleBVvX1XcT8mUSav6avnVTroyLftUmIBOx1Vk2XBM2clUq/hggBjKGCGe1kTexOEDErhaADOBmwkQQfZkB0Vp7erw/Pz0IEgcRUo7UJkfIVMEhDLZZtoRozc5PZwubDhMn40OKlWFd27q2UkqtxT3meZ3GkZjUlFA2EeTc35xyu4XSYaqrrr21ti7uln1VL1686N3ev79bljXByWEY6UAiNVVw1qYAWEpJLpeZLcu8LMu8zHrW4/GICGaqqvtxFILeW++tDsP1zW1rrQ6yLMuyrleHvWqPcOGCyBt3k5iJA8gBwiGZzMnW2WxucgpT+ziiq5qbBQAauyBwLUOthUXAHQHqMByXNWkobVn4+hpC12Vhprn1Np/GoYhts15TRD5SUSggAgmYiMAdzNR7pwbWUBtTlUmG1M9MgcXwLCVEhKsaEcamBf/x/ANuMS06pq6amWnryaETkWEYmAUAD4fD6Xi+f3yQUodhMPXWlEhytjFxQYRpt/OIu7u74+m4LMuyLI/Hx6enp/P5FOGllP04DLUwkzClWBwRpabQuiw5dhcRnPiCzCdQGIAeGw5sKdBrKbu+zcPc0svN6xGSf5y9nv+k3Cluc5IINlk0xHAwoHAhOi7Hvp4rk6SfhKwA54ACj6YqIkwSyBgeHuYKm9IOTczDWB2MAggwkCHDVQwkSXE1CLhMI75EwqmMiw6Eptra6hGtraYqwrvdbhxHYvKIw/Xh7u7+8fHJzNe1EZ5SVTVvo5RiVollnueHh4fHp8fW1nmZP9x/ePv27ePjfUSM47gbxv1u3O+m3W4axlKlFoZEQ9IQAVRO5AE4xfnyuGT5+Bloyhzwor2HaYK2aYycQ/VyXG+OsE1T6wBs7t67UEa4UJjcehiAKzs+fnh/Op1uXrwQ2EYCRBouBNwkAhHAAHLVLCJMwzMpZSYi6K7elACReBuXnriBCHiYOiJCOHjq526DDgPCHSM2EShzg/Ba69V+Pww1+cCl1JubW9OszhkCpsRi72YOSecFwPM8n07HeT4vy3Kez+u6ImKt1bbhJQCASCwiQx2nUQojEVROECmew8UkwQBAqjJu8tSpALoNmYFtqB2xB4Al+RAKl8Qg/fLjpqqdtlF0ZkYkUgE8XBGoL3MWKB3j4d3b4+m8m0bZYL2tj2DLNgkoHEwdKQIcHTAQLKxpQwCM1lsL666AQUIR0NWAkaUwS4QrKF5oKx7gTrRNIIIARwhhNAcCIOJaSvYHrK311ooMh6srJmmtr2tTNe3eWm+trWs3D0TsFyecArtmVmt9/fo1wGddm3bdDeNuGqdpvNpP41hrIaFABEFnghwelHQYZo4s34JttuWyP4k3ZHcEO7unEPEzv/wiOJnhnruqAqEnaoTshEVkc9XCvfcAY6Zmenp8PJ6O8/FGKDByFCVispMoMt9B0Mi1JyRBdvAw17WrdjuBYWAlHgszajc3Q6ESyCS4jaLIHCEoNpXt2IILxwBGAjIiFKFEZgA2/ylcMHt6ksAUGP7MtfbWeoTbNh4HRVhEaq2V6jAMSTfqvU91mMZhGMo41GGoRUjQAgzdERQRSykp4UDEllUuT/OCgECMjLypdm9zZjycwz3II9AvmvkZeeJF9/ACjH0c3wER4ebazRpBoNFZbV3ObVmW00k2pXK8jHoGAAQC2kBGcCBPajgCaK4QupEreNkPZRyYpEeoGkIwhZpxytGn1ikEQZYcCFK8PJmq7gHOiFhKLSV557HJV28TlTJUJ2RCBiB36Oqtq6qXWgFwWRZVLaVIkdhSeBzHgZkFqQgPwzANdRhrLcho7hqmrg3JRUopOa2UnCw03APAAgmyT2tLvbdOoyQe5iAUvACrWzqZ5HLcoGRmLkUAUM0+jox1AzPA6G29v7vvy8zh1hZx908qKnl2cZv66s+y7p6wwpZoUCCim7k6BAqLec5AIUB2D3g+8Z6rD0Ce/46wlMHMQjHl+rOEmUHCMXW7/cSFiDlCQMWJs93De1czm8bJI87ns5nXUspQHHxZloiotV5dXXlXQhzqUOswDHWoJGQeFr1rxwDFywilDTvfkNyUBojtM8AG58aGKnLaIIhtHhvGNtn8k5wsd0rg0ueCSfkEJwSOmM+nNz983+e5jmOoi7vj5kliy2fTI6fiOCAEXjSgt9qxEBlBNO9NNcVIsxJNjCwGER9Zrh+RiPgEuDWz1lqE1WEoRYi5954HWJDcDXATmI2AcGByIo6AZe1ptUspgDgMAxIIi4g4+hADIozjOI5jsCNArSKS5ZwURWcAIHQPNDPVng2miEQ5MeXZ+l9SMr/MQcXL4oY7ACjAR1T8Yog2gk+4eyS/XNUIghHCDcERfD2f3vz4A0BM02RmEn4ZVpzHHjedXc7OEsyJuR5mThEMXAUAuvXWrFQwg/NpDUYQEkTGWNsaAKUUi+dRg3lBt6TTs8Rm3d3KOJZaSPg8r4FQ68jC86Ktd3fgrZyNQQAILJJdlMQktQzjRMzLuqzL0q0D4bTb11qKcASM48RMAB4QvTcMgsKIjgFIjA7aGyHVchk6k8EabAPGL8AtAGKG2LjVxyKbTTJD3pCtTeBbuyL0RIRQkozeVRhZ0N0YEZDn1n/6+d3V4er2Jbq55Iz7tD05Uh4ISMjcQn2bhOFMOV8EqXcPAEM8zvbd3//u+vMX//xf/XOgaLb2dQZfaimEYl0zAwhwQyBLb56UPVM3ZKzDyLX0cFRNFLa5Y6gFBJFHGACqITOVUri0WAzBCHiowIzCZRqD0BGhCzEPQy2lRLib8lAIonctQiISGKsaYhQCCOwa4KQdlkVLSeV6AnczD++BBMiRa4FZKvet4pK0gvDAyGELHgFgeXxzznmoGfWsAGKY9eggRaq53z89ffvm3Y8fHr6qU3NCdYnthAYQRKAjEKFUmddFm1UshQs6AbATW+Cyrj1AhT48rf/r//5vX3/z+v/5//4fDVp7WnSdvenh5UsiOq2NSNKumgWGIwIBmJmadjNiHq/2SLz27tFrnQCpqZkpS6FCQdHd3ZyRpFRBRlXFcKa63/FQNmSDaZimYdpvlR0AcMeCKKS6qvdBpnE3ufsynwGAUcK8da9SLGJZuhkUEQIMC101rCEx8JDzbSIANmx06zBNAHVjO19C1pQCEiFJ1hUChoFDLawWFiRUFLyheJl2t5+tIB+O6ziCuDtk6cS31mIPN+uxoc2IkblwBIAheYi5z+t69/B0bP0W4dyaxWrgpQoH9LYyU5WSd9cDknK5VXQvwKgDqDkDp+NJ9h7E5grNwyIIETi18cHQAaGWst+NIjJNO2KpraYktT1PnYPk+oewhHcSBMqRFoCJcgcFMBJvje1xqVNAxuMYWfhgZiBIYigA8IYMpzOIeB64llOANgyCiJi3smiEq1sZ63A1dYt5Xupu/0/++3/25//4n16//Pzf/Ot/8/sf3rx4+UJ8GzCO+cIIEOaKamYE5AiOsU0wgFAIJZjdPpyffnj/9v3ycFhv3z89DDV3vpDh2hozSRGMrUQX4Iho5gApfNHNQliQhFACnsONS/QJzJI1AzQLgEA3c9d1td7AjYAZsTBRYUYgjN5M1SMCCJmzcxSJmV0ypNtqGVuW+zHfCgcLh1CCcNMAS4Anmx8hPtZdst6B2ylFCIIcE474PEIqff0GTTNjyGleYu3d4fE0X1P51eHmL37xy1df/+KbP//LH374QURkm6+dr4aBgY7uyXlEAkIDMHAFMHRFagRPfXnz8OGPH97eQ3w4nf7u+2//7Fff3O4mAI0ItWbegRTSN219LxievUAbws0svMHjkHOTfGPcECGDebgTE+UWRmSnpyAQ01CkEAoAMxdCAUdTULcwAipEwnSpSggCbkwK9xzehmEOgeaJM2NEsqYhHMA5y79ull1ChLgxbi5x3VZW3eBsvGRe6XsTAvNw4VKY3j/dawDXHY/TcHWtzCryi7/8x4fXX75793aeF9mm9wU8Byu4OZbtVSNAIRTBCDpFJ3hclzf37+/Oxw7wMM//6T//7ZfffP7ZeGtzzhDiAEw9se2JcAvikmaSdRUEREdDVw0zCHZADMjuKV5b07aWIpuFJWLEqRQYJ3erw8DPJcAISbsfpt2RoDAyk2ftAdEdVS22GSCWPaSAABYQ7qFgDmEQQYBMEMziqaQKjoxAWSWDraNq24OcNHmJUGGbdBzhFoYW4Mh5llCkTtc3Zbz68ptf07j74f39fnEWqdcvfVjzhm5p1lZ+AtjSuy1FycosGGPuwWObf368m90Y4Lief/f3f/d/bf8CpXT3UKskhcpFDiRhRE8+9gX7ojAPC1VzgK7ujoLJpWMIBuBaakVk4vQYSc5xdEHqod57IS6EsBVLURA0ETgPMA0E27CcHGcUlx5cDzNgkBzXme2ipjn/mwkBmQC2SW9bvXkz0AF/iq4DMMlzhvCcD2T/BiAtbTWNab/HMgaJAe5ub/c3nz0c57dPp6fTWbsy5aygbd4mPHsxDkhSeD5JJnNO0DBWsIfl9PbxvqHzNMy6/v33P7159+FXv/jKHa3bMCaDMzDrchseF+YR4b331tpW4U8kKzVrUIhL4iyuLihcGCOyrS/QLrUHDAU1O+zKNIzduqkZBAEwUXAiA7Bx1AiRyM08LItzydRLzNY9q67gnqBsIPB2nhEToYfLhDxizFcF4IgcLIIJygI8l6x5KwICIEDrffZ2PbxoZo+nR9nFargrk0u0FlF2yAFEEgDoz3ooueEoiB6wDZ8LNIggdIIGtlh/XOf7+dQwoBY1fTy33/3n//LLLz//4ubGDBEYkQIUngkq4JQN+G5tXZdlGYcxhY2SX7qhPY6967Ku6GGthxszWutqRsJTHYAwgoqMXHioE3NZe2+rLuvaWneLS2WcAkCbOiOJmLqZEiKnSLjl+DMOsjSEAVuUR0AXtCUctsFNSFmCT3SEIiJny8GWXNLFBSTx5pnIlBV5c/O1mxkfdlcG9HReH8996VDGA7GYqWSmHQaxjTZP9hqDWWKZl9GO5Bgatlg/93W23iMUEIUR/Le/+5t/8ptff/PqcwMGx2QB0sf8PLKKGs8V7e2m4YUU5Yqmpo9P5/vHo/b+8P6ures4DegOiHUYDvv9uBt3u2k/7cb9zgEfjuen49N8PJ2Xs6oyEQvlpAZHWFsHInbsvat1IXTCjMGYcENetswccn60c/LLLNwNMCiHK+DlaZ9RagTIYd4X+AghyNNbpMmIAEYapIQ5Bb+8ffmr3/zFMO4ens7v748aNO5ECmpX2TBVgstc+LjQX+AywNZSFjwJIN00CQ7q1lyRcSj1D9++efvuwzTsGjyahnBk0Sb9O8LmkCJCGLM6aGbh2Lu1Zh5sRmvrHz68f/Pm3dPjsfc+1JrzrdUUTvPxOA/jsL/a397YC6Dj8en9h7cPD/cPDw+n8wkBxnEcp2EcRiIOxDoO024XHtqtqwUjMKl678rMHqhpFj0i5QDchTnR2gzd0u5hpEnL6p4/k8ASxMRL27VH6pPRhaoWTDRxBcTwQGDm8vB4OirVcT/VUQ3muXVVIea45AHPYUtSv3trjkRT9YhualHqOLbl8fF0XNqqHFSYBcHtQeHbb9+8efP2pk4I0buie4ANtQhzeJJ2sK3tfJ5FCiK1tSGaO7r7srZlfrp7eHj3/u7x8dSamcWHD0+PT79/WI+6tqth9/nrL1599nJ/Nf/07p4Zz6fj6XzsfV3WtbU1tjmqVMogRYifW/KLsHRrRQiGQVWZ2M0en55qKYXZXLtahkxdNVYYx4oI5kGEql21i6TYc4mA3ntE2iLISXfP4T8hA27yGOgkwqWUAB5EKhddDQQYGIAZi4a7QZiLP8eyCcgBuYda9/Buhiy1FFTrburEZVjW9eHpsZtiyc5m7+YM8P0PP/7Hv/7t/+1/+GfJ8wvwtbUi7IRduwRjYbV+Ps/7/Y6ZfBuPy6p6Oh3fv79/9/7u8fHcNUjK27u777794/u7+0c4C8Dr8eVqeFzbfr8TYQCY55NZl5Tv58GiL2vXc4c4J8B5tT8nCnQ4HLr2ochhP6nrfjcR87IsjCBSgPAZC+imumqpnDia58y6yMyLs4/BzIgiUvyncJKdNhIxQjINPAfXRREWChykFhJd2nB9YyFPazdvFogOZCHLumZMgqnQgWCmvTcuUqdR6lhqXWDFcAtf5vPpeFJVlhIsTZt6F8RJ4Onx/ve//8M//vVfjK9up90OWB3VMXpvra3BUutuGKdpWrX3CBCpkKHC+XR8eliWGQEK07ouy7L+3Xe///7u/S1d/+b2ly9e3tZSW2tvfn47jsM3X3/95ddfvXv788PDHWf+jAIExICAptpXBYihVlPVfpznRU2HUs6nUbW/fHHz2WcvpmnsXXM6EjNjbCz3PInERBjmhojCRITZ5AyAutE5TESmccgNwIuBhWyij82sPb9oDqKMbu7gagDdI3RdtXcxDyZEYhIh2io7zCBFiEsQLqbN1TAsYl7X4/nYWmcWQ+xNm3Ye627c3T2d/9Pv//7/8t9/+OLVKylDs3ZhcEBEZBWlCI9jnefZLEuM5NpbPofQzc3Vfr8fj8v94/Ff/Yt/dV7tzY8/L/M8jLuvvvrq5vqQygK06QEHoBAPtdZSiwgnf0R7762bKYa25aSqwgYRTrYs8/F4DFcROhyuIgyl1CIkTIhmABQEwSKlFHJs2oGYpTAxQkIpABBIiI5u0Lte8kS+ZFCUMRIRMlHKQ2ze3sHNzDy6gaNZWJutr0IiqXoBSJ5wKiNwNSYDMFfroQgyDiLYTvPD8ek0zwFgEd3dAoA4teLfvL/7/fc//OqXvxyv5DSf3ToPXIpElL621laiWgbxqNrVwzDCw4hhN437qzJNO5a6rHr/eNpfv7Yo337//cP9AxFdHa6GUpp2UWbmYRzx8y9ubm9FijDlYKTw6NrneXE7mykEInKRYaijuyJ6a3o6ncJNhHtbx90gNSdeAyGSbJoCKISczpWkcK0VkVRz0FWKbSAGqfq6buMwReASlSbLN5iZSSK22jbmmGNVV7CmQd5Ve5u9r7Ipu0VaPHB0ZwKW2CoE4OFQa9kNa+h5Pd8/PTzNpy7YNRyJSgGWFkHCzf1vfv+H3/zmV3X6yq1hmFcnKRUHN219RbBaZJyGzrSumuDXOMg4DKVO4+6q1hEAv9RYlNaOV4d/rKrLsjw9Pt4/PJyenojo9vb29vrq+rDvXXP2jW/MJY8wvmTgwzjspkEId9M0z6feF3QahnEYJmbOCbO9dYRwU0nBD0RACgh106w4XjrycqgsAgMwIQchUZh9BGzgQqZ3T5o+B8DWeMEFkAwMTLWH9hWQeu+6zqFNHMJM1VNjAoFJ0ZsqURmmSVjUemT3YZvfPdzfHx9XXZVLdycRKmxEp1UJxQP+7vvvf/tf/surV7svXu085xF0FQJi7mtv0IVJhKSImS3a3VWKlDKwCICpNZGy340TDuaiFtr7sg43+/HLz18mJbT33ntv56W1npEhEZdadsNI+128QMuB020h8KGWUsr79+/O5yMR7PfT7e3Nixc3gPZwf7euLcLMVZxK4azDenhX7b0Dhhmr2tbRr8nWZkgvjDIM8gyCIqKZbswUcDUrwzTWEViCyQnMPayZmvU1EK137XNok2bds04nzFx4rL2gosEgUeui9uHx6ek8L9Y/LKe/+/GHx/PRATS8gVMZqJbee1/nQx2Jy4+PH/7d7377m19+9suv/2lw9LaezudaSBCR0T1tuEDqwGgzM64sBRGj6+q91TrWoepy7krDOJWBCYS8exTmUdWOx9Oxr69fvhAp67q03t2zpamwMGJWLxziuhaZplEKD2M9HY+lMoIfrq+m3bAsp/l8jsjS/JZMMRMipH5IQqkBodYhMFOf5yY4xFQK4OfVTzzwkqxFgjuOlDoqDtHN3Nd1bWtbgaivrS8n0yaugUwimUQWEFk51uhLm209Hx+efvjh+/f3D2ftJ21/vP9wbisWMXTDAAZD0MS6hE3kGPa3333713/zN7/5xcvPbg8Rvq6LKh6miRAV3LRndpY1YYCNGw/ZamluitpmMwRncAYA8EaoTFSrRBF0BWv7/ShSFoHeeeuN4bKNLCQOiLZ2IhrHsQ7l5vpmHKoUNuulcGvtfD6LiEghhtQLpKSIImRIHwmRIZhqdn0leXnDxlAQ0cwICSApOx9BurwUgGwBlpxkN2+rRj8v67KuwNSXpS1nsyaBxEWwiAWsfVnW0wdb3vbj3XI6LfPj/cObN2/O84pFlPH+9LQKRKHLnOoIU7cOw9CRoiuRPPX+V7/93WfXw//9X/yzm8MekXrvVpO5GwZO4W7mbiyc3Pj8fCWVmCPWZZYy1lIh1NwQdCjEIkUYAYWmoZJ21T4jWOHUwuLCRYoUqVJKIDza07KuMbuaqPYso69rm2dt7Xyej7WWMtTUaEob7uapA0TEIoKUw+K7exAxYVLHzAGYESmLxolfBgJeCKWKBIHk5hFBm5tSxrk5zcu6rAsKtnXpbQYw8V3RoQbheZnvj4/vjw9/fLr7+4e3757u53Xp1s+67Hl3M+yocj8/9XC9UL7goq4yHfZh0Vub9ns9H//Lmw/Tv/7rf/wXf37z4oUA2NkMs7vRmVMQI5hRZNigirQAUjygNz0vC6691lbLMJS6myakTTMfAndj3e0HBvaIrurqqToKHg7g3trSHHF/teNC5/m0LH1ZZyIkLqYNOYaxIu3Xtph1puyADFM1V0QcxlFYMBAhXLWtq3mIFGbCAPNAAJJSyygyJLEaMp4zU9V1XSMsiAvQNO7Zw0INPYxUQ9uifWXnvjZTYwb5dz9/2yHO1h+X093j07un+7v56amtxzZ3MAbiUso0nCcyArwavTcP3SpyXbOA28+LR4A6AwHLavbT3f3v/v67w8uXr1/dFoC7x6er3TDtDvP5ESNVcBAj+7vBLSwcTR3IHAO569ptUR8Bx6Aahn21tfXwKFLLkMFlzOu5LX1dm7shQBCGm6mbA4l07W1dIqL3BRF6Z4/GgSw0jpw6W9qTEGweDhDErC2UggC1d20bt8Y9IAzAzR2BEierACn46ObLMh+fnk7nc7jXUsfdwCLmG4Fybb0tqwVp631ZZ3MmFhRXlX/z/d/Opo+6Pul6XJaH+dSsFxGT8CDhOo1j39VjCXPzqTio9yR0o1lyq0nnFQmJpKsV4rFwZ/z//cffvfryq6sXLwFEAz3Ic+o6aA6KDjN3sOCsigdYACeqbmHaz93mdS1SCiK7Qld381S6ROTe+zzP69KTIihCSORuvSW841mdR0BERwR3krLxs5AAkTdK68artUQg26ICIoKq5pqyQ0mtT6QzfwvgvXu+EnTr83I+no7zPIvIOIzDOEkd7IKhauvzsgCxe1hrbe3TbsdSPEJ+PD8owoy+oC0MVsUtGoJbOIKRASiAViCHWFybmwMwUVYRNjbD1l9DQAwQQkMP+5vff/uX3//xq6+/qhQvbm77elofzlMtRBCuZrYpynpqRFGgbP2gAG7qpq0tJwfhUuvALBGk5qrmdj6fl3VdIzIYR85aSEAaAVXdJCRTuli4CHNBEWIhzuoKgAg5AWgkgGPq2g0MBClCLo2/yVm79CgndwO3HBkJVHvvTV0BIUmJzJytGsHkbt0spcYT+yYAIQKPCGAq8thmZ1JCg+DUqUBofd2A7axm58TpJM27ZwFvK7VcyqSXFk0EAMNQ87XBv/v3/+mzVy/+z//DP9Xw1nuYDYHqgdnts4HBHk4eBBiBHhfmASK6W2/WQVvrROyObbXWmqmrmqo9Ay8b/8JCta3rYmbTtBvHoYgAlNSG5zz92fu5sdECN0ZGiuZ2B+yIvQjSpRHAwTEINg5/YkXJ3iWiTHSWpS1rU1WIuHRFIxEBc0T0bim5gsR26WrdiprMstCFkhsgSCwE4WtbLs0tl1ZES3Ap5Wb88pm3ggsAXLrXIBC6G4aNpfznv//hi9/+7X/3T/8JoK9NBYBlWJcnCq/ESL61OyPS5aUMFAEtzRMgMbtF61373Fbr3XImMXORUrT31EPrvV+QyE2GMhtAACIlIXMKxQWUgQgz7Rmzu2u4AwRh1h2tqwIAgLm7ugdurfGQ4QLjcy2493Y+z6fjvCyLtkaXnk5INnUpzbz11no3MwyIbKXk7NQFZpTGABjogO6pDvisQfDcm+mXVc8LEZ80fz2/38dAGNE8DPB6t3t4ePjb33/329/97Z//+hsCEmQZp+PxkcKGsWbLEG6l2nDLeaIAENpUtQOCZP9+0x5JoIZaapHCUiKgEy0A2+TvCCIQqcLMzEOtUmRT2aTUlXFP1veGGiTc4NkLI5zKAoHIrtbS7W7nADYZOERgEqSNcA/Y1c7n+XQ69t7Bo0h5RiaISEpZ+qK9pwg4QCCgMAZjIGcNU2ZwNCANMEf1PA+cDKFNTxyeL/lzopHV0ef5DnCpTEf2SrFEwGo+Ir1//+F/+d/+9e3t9eubPRJZauNdMFxhFiJwVHMjUzWyCAwEg4TpMQiolsrEQ4kLWCnr2lprIlSMohaEqJ5zX6TWKsLogQgsmBgvuDnGRmpD2Dqst4awQEARwUuh0cxMPZUItg2wALroLSVbjhiILTBHtZsqp5FDfmbJ5SplzZE5pUoQWRDZA4mJiKRTULbZbfTTzVPgJwd7I3TEsxHMNvbnhhDYaqMeQeEODOQIx2XZ70Zr/Xe//+FX//F3/49/+c+ubw9vP9yPdahQLEyy/sxpGzw7RADMIPbTKLUubTV1QizDULgAUjhl0dbUjJiIhLjWqr27mmNkwy0xZks5EhDDZvVjm1uRhUQRzruNW7M7E3JE9KaranclKRbubmmoIJIGQ0FIkhqKBBcALhKJTjGg7BdmgtSd8QBCLnLR2RTmnLNHRCTJxiUhSp42YmSb7MWjbqd/k3mO59UHgEsB46M1iiSakQSiqg1DRZHjef7//pv/45svX1/t//Ldh/uvv/iMRKwvyYbzCIoAD3SjMECHgN1+txd5PB7b3JB4nHZTHYHZerRFV21DqUIciMnvUbNEe00tzAJMmJkIMbLUxIRIkJTDPFx00fOGVAslRqRk0wAhbOE+umehPdCDCAGJWWodSxmyMWZjrtC2tCkNs1U7HLqZhxMTF8kelpwyZQaRr+XuAZvWImY7I3jYVkWIy3lHhGcxnI0mse0QwcdrAJmxOAQjBfC52ShYKn/79un/+Kv/eLXfXQ1l7cbAQmIAGul7HMzcFcMYkAgrM5aq41SoEHLegAAEilIACQXYs7Nh67xJa9J779q7mwIiEzCltmsub1xccwBEQmmXMlbEJrYDyFxqBWYgCnditI0Zl20ELFxqHUsdelffDHMu+UdWS55bM0/bz8TCYui+CdmIg0NWF9raAIUgcvZDmKubP3NHtrXeVj63YIuxto/+J5fAkQCCiAk4WScORCLU7K9/+59fv7r5//y//sfz8d5dX15NDm6pfZHjmTxSWgoJtTd3QOChFhZm4nByN0Icx0ok59O8rusmhkBbK0fA4BnRmy3zOdxEZBN92g77NgXqOXzIcrpvVMPN3dZaMcItHAwDCcLAYuOaMm2D+2Rdm7pZhENwbLd585UZrod7QCABMbGYJ9OYALOWCkQkg1T2xOuCIDBPi9kmT+RuFjk2CwDtwoS5WKE/3YBLw2vOZM14StWRwQHvTv2vf/u3L17c/uLLzz+72R+XPgqRpOicQwQTCVMR4VIciyGXjeq0aYFQEvU93HuYMuFQt6lBAK5qZj0AQRAwBqHwIKaA8LAA32R+HNauqia1ZE8XsqTotvtFzoW5AK6hbtbdTbNTsdRh3O2v9vvDbn8gIo8zBjFLqUWQUlGsiHC+KUBr/T/89X8M4l//6tdOJFKHOhKLmnIphAweUoEBIrbGjzRCSMwBQBYXWWNI6DsVQj4xQf/wK1m+W/6YxNMNlY349s27//l//df/zT/687/89S++fHlzs59oPwASGIR5JRISIDYHAw8ipG0qzkYddreubVOJcGbB1HBhcs9OxBR2QUSopTIzMXl47+3/39bZ5EQWw0DYZTsv749WiwXDXGDufyAEi9EgIaGREKLFS2J7Fm7EZnKDbCJX5avyGD3IwQBEXD2VT/r6DhJEjPCcgQkBBwfYCDkZC6TOy7af9tPNuu2lVjOLSKEiqipgVZUMzapqmQJ4e/94eHxyloAw67Lt5/Pttu1BdJqXWhcbpmSedKRHUIQllJ4lLlkIlUGE5E/pW2j873wDppliZhFWpsyXEH32eHn929pBZmv9VVTXZVaBG8ICEcpBbmN8OoRy47uUa1eqo49xtHYcrffOrAD6aODcbZY/qlfSCg4GWATCekUsY3jLzocyVZnKaOZXBD9TYVkiFZTmIDydnnymVEud53ld67xwUaMYbnnTSP8EX2wnMl07NcL75XL0fjkuv/88j251We9+fNzf/1y3ncAyFSn6D5axO4pnMsJdAAAAAElFTkSuQmCC","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["# Check some sample images (Use of cv2)\n","import cv2\n","from google.colab.patches import cv2_imshow\n","\n","# Your code\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," for i in range(3):\n"," img_loc = this_path + '/' + im_count[i]\n"," # print(img_loc)\n"," img = cv2.imread(img_loc)\n"," cv2_imshow(img)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1657887013729,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"jWBEMC1FUfXS","outputId":"1d0c224f-68e2-48fc-c0b4-149cf977545e"},"outputs":[{"name":"stdout","output_type":"stream","text":["(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n"]}],"source":["# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," for i in range(3):\n"," img_loc = this_path + '/' + im_count[i]\n"," # print(img_loc)\n"," img = plt.imread(img_loc)\n"," print(img.shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20366,"status":"ok","timestamp":1657887036646,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"52BhBWRab5yc","outputId":"09c31996-cd15-4032-862d-c0a61bd2a469"},"outputs":[{"name":"stdout","output_type":"stream","text":["[128]\n","[128]\n"]}],"source":["# Check if all the images have same shape, else you need to resize them to some common size\n","# The code provided as it is above in the template will help \n","import numpy as np\n","shapes_x = []\n","shapes_y = []\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," for i in range(2994):\n"," img_loc = this_path + '/' + im_count[i]\n"," # print(img_loc)\n"," img = plt.imread(img_loc)\n"," shapes_x.append(img.shape[0])\n"," shapes_y.append(img.shape[1])\n","print(np.unique(np.array(shapes_x)))\n","print(np.unique(np.array(shapes_y)))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"G-Atau4Rfc-x"},"outputs":[],"source":["# If the shape is variable, reshape to a common size \n","# If it is same, prove it\n","\n","\n","# shapes_x = []\n","# shapes_y = []\n","# for label in output_classes:\n","# this_path=path+label\n","# dir=pathlib.Path(this_path)\n","# im_count=os.listdir(dir)\n","# for i in range(2994):\n","# img_loc = this_path + '/' + im_count[i]\n","# # print(img_loc)\n","# img = plt.imread(img_loc)\n","# shapes_x.append(img.shape[0])\n","# shapes_y.append(img.shape[1])\n","# print(np.unique(np.array(shapes_x)))\n","# print(np.unique(np.array(shapes_y)))\n","\n","\n","# Above code checks for unique values of image shape, and since only one unique value (128) is found\n","# Hence proved all images are of the same shape "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"F0XHxMo2RVQd"},"outputs":[],"source":["# Anything else you want to plot/experiment"]},{"cell_type":"markdown","metadata":{"id":"zSoUXS1cRbnu"},"source":["### Model Definition\n","Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1657912512016,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"QKZmIgXMTHfy"},"outputs":[],"source":["from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n","from tensorflow.keras.models import Model\n","from tensorflow.keras.preprocessing import image\n","from tensorflow.keras.models import Sequential"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5057,"status":"ok","timestamp":1657912517070,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"9xWLUibHRNGj","outputId":"5257a9f0-c2e9-46c4-f52c-6165e236a95c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_128_no_top.h5\n","9412608/9406464 [==============================] - 0s 0us/step\n","9420800/9406464 [==============================] - 0s 0us/step\n","Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n","58892288/58889256 [==============================] - 0s 0us/step\n","58900480/58889256 [==============================] - 0s 0us/step\n"]}],"source":["# Choose and define base model\n","IMG_SHAPE = (128,128)+(3,)\n","base_model = tf.keras.applications.MobileNetV2(input_shape=IMG_SHAPE, include_top=False, weights='imagenet')\n","base_model2 = tf.keras.applications.vgg16.VGG16(input_shape=IMG_SHAPE, include_top=False, weights='imagenet')"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2002,"status":"ok","timestamp":1657912519061,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"J3TwB_GLd7BU","outputId":"80ba7be0-e35b-4200-a1b2-c6968a1061a8"},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"mobilenetv2_1.00_128\"\n","__________________________________________________________________________________________________\n"," Layer (type) Output Shape Param # Connected to \n","==================================================================================================\n"," input_1 (InputLayer) [(None, 128, 128, 3 0 [] \n"," )] \n"," \n"," Conv1 (Conv2D) (None, 64, 64, 32) 864 ['input_1[0][0]'] \n"," \n"," bn_Conv1 (BatchNormalization) (None, 64, 64, 32) 128 ['Conv1[0][0]'] \n"," \n"," Conv1_relu (ReLU) (None, 64, 64, 32) 0 ['bn_Conv1[0][0]'] \n"," \n"," expanded_conv_depthwise (Depth (None, 64, 64, 32) 288 ['Conv1_relu[0][0]'] \n"," wiseConv2D) \n"," \n"," expanded_conv_depthwise_BN (Ba (None, 64, 64, 32) 128 ['expanded_conv_depthwise[0][0]']\n"," tchNormalization) \n"," \n"," expanded_conv_depthwise_relu ( (None, 64, 64, 32) 0 ['expanded_conv_depthwise_BN[0][0\n"," ReLU) ]'] \n"," \n"," expanded_conv_project (Conv2D) (None, 64, 64, 16) 512 ['expanded_conv_depthwise_relu[0]\n"," [0]'] \n"," \n"," expanded_conv_project_BN (Batc (None, 64, 64, 16) 64 ['expanded_conv_project[0][0]'] \n"," hNormalization) \n"," \n"," block_1_expand (Conv2D) (None, 64, 64, 96) 1536 ['expanded_conv_project_BN[0][0]'\n"," ] \n"," \n"," block_1_expand_BN (BatchNormal (None, 64, 64, 96) 384 ['block_1_expand[0][0]'] \n"," ization) \n"," \n"," block_1_expand_relu (ReLU) (None, 64, 64, 96) 0 ['block_1_expand_BN[0][0]'] \n"," \n"," block_1_pad (ZeroPadding2D) (None, 65, 65, 96) 0 ['block_1_expand_relu[0][0]'] \n"," \n"," block_1_depthwise (DepthwiseCo (None, 32, 32, 96) 864 ['block_1_pad[0][0]'] \n"," nv2D) \n"," \n"," block_1_depthwise_BN (BatchNor (None, 32, 32, 96) 384 ['block_1_depthwise[0][0]'] \n"," malization) \n"," \n"," block_1_depthwise_relu (ReLU) (None, 32, 32, 96) 0 ['block_1_depthwise_BN[0][0]'] \n"," \n"," block_1_project (Conv2D) (None, 32, 32, 24) 2304 ['block_1_depthwise_relu[0][0]'] \n"," \n"," block_1_project_BN (BatchNorma (None, 32, 32, 24) 96 ['block_1_project[0][0]'] \n"," lization) \n"," \n"," block_2_expand (Conv2D) (None, 32, 32, 144) 3456 ['block_1_project_BN[0][0]'] \n"," \n"," block_2_expand_BN (BatchNormal (None, 32, 32, 144) 576 ['block_2_expand[0][0]'] \n"," ization) \n"," \n"," block_2_expand_relu (ReLU) (None, 32, 32, 144) 0 ['block_2_expand_BN[0][0]'] \n"," \n"," block_2_depthwise (DepthwiseCo (None, 32, 32, 144) 1296 ['block_2_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_2_depthwise_BN (BatchNor (None, 32, 32, 144) 576 ['block_2_depthwise[0][0]'] \n"," malization) \n"," \n"," block_2_depthwise_relu (ReLU) (None, 32, 32, 144) 0 ['block_2_depthwise_BN[0][0]'] \n"," \n"," block_2_project (Conv2D) (None, 32, 32, 24) 3456 ['block_2_depthwise_relu[0][0]'] \n"," \n"," block_2_project_BN (BatchNorma (None, 32, 32, 24) 96 ['block_2_project[0][0]'] \n"," lization) \n"," \n"," block_2_add (Add) (None, 32, 32, 24) 0 ['block_1_project_BN[0][0]', \n"," 'block_2_project_BN[0][0]'] \n"," \n"," block_3_expand (Conv2D) (None, 32, 32, 144) 3456 ['block_2_add[0][0]'] \n"," \n"," block_3_expand_BN (BatchNormal (None, 32, 32, 144) 576 ['block_3_expand[0][0]'] \n"," ization) \n"," \n"," block_3_expand_relu (ReLU) (None, 32, 32, 144) 0 ['block_3_expand_BN[0][0]'] \n"," \n"," block_3_pad (ZeroPadding2D) (None, 33, 33, 144) 0 ['block_3_expand_relu[0][0]'] \n"," \n"," block_3_depthwise (DepthwiseCo (None, 16, 16, 144) 1296 ['block_3_pad[0][0]'] \n"," nv2D) \n"," \n"," block_3_depthwise_BN (BatchNor (None, 16, 16, 144) 576 ['block_3_depthwise[0][0]'] \n"," malization) \n"," \n"," block_3_depthwise_relu (ReLU) (None, 16, 16, 144) 0 ['block_3_depthwise_BN[0][0]'] \n"," \n"," block_3_project (Conv2D) (None, 16, 16, 32) 4608 ['block_3_depthwise_relu[0][0]'] \n"," \n"," block_3_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_3_project[0][0]'] \n"," lization) \n"," \n"," block_4_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_3_project_BN[0][0]'] \n"," \n"," block_4_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_4_expand[0][0]'] \n"," ization) \n"," \n"," block_4_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_4_expand_BN[0][0]'] \n"," \n"," block_4_depthwise (DepthwiseCo (None, 16, 16, 192) 1728 ['block_4_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_4_depthwise_BN (BatchNor (None, 16, 16, 192) 768 ['block_4_depthwise[0][0]'] \n"," malization) \n"," \n"," block_4_depthwise_relu (ReLU) (None, 16, 16, 192) 0 ['block_4_depthwise_BN[0][0]'] \n"," \n"," block_4_project (Conv2D) (None, 16, 16, 32) 6144 ['block_4_depthwise_relu[0][0]'] \n"," \n"," block_4_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_4_project[0][0]'] \n"," lization) \n"," \n"," block_4_add (Add) (None, 16, 16, 32) 0 ['block_3_project_BN[0][0]', \n"," 'block_4_project_BN[0][0]'] \n"," \n"," block_5_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_4_add[0][0]'] \n"," \n"," block_5_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_5_expand[0][0]'] \n"," ization) \n"," \n"," block_5_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_5_expand_BN[0][0]'] \n"," \n"," block_5_depthwise (DepthwiseCo (None, 16, 16, 192) 1728 ['block_5_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_5_depthwise_BN (BatchNor (None, 16, 16, 192) 768 ['block_5_depthwise[0][0]'] \n"," malization) \n"," \n"," block_5_depthwise_relu (ReLU) (None, 16, 16, 192) 0 ['block_5_depthwise_BN[0][0]'] \n"," \n"," block_5_project (Conv2D) (None, 16, 16, 32) 6144 ['block_5_depthwise_relu[0][0]'] \n"," \n"," block_5_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_5_project[0][0]'] \n"," lization) \n"," \n"," block_5_add (Add) (None, 16, 16, 32) 0 ['block_4_add[0][0]', \n"," 'block_5_project_BN[0][0]'] \n"," \n"," block_6_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_5_add[0][0]'] \n"," \n"," block_6_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_6_expand[0][0]'] \n"," ization) \n"," \n"," block_6_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_6_expand_BN[0][0]'] \n"," \n"," block_6_pad (ZeroPadding2D) (None, 17, 17, 192) 0 ['block_6_expand_relu[0][0]'] \n"," \n"," block_6_depthwise (DepthwiseCo (None, 8, 8, 192) 1728 ['block_6_pad[0][0]'] \n"," nv2D) \n"," \n"," block_6_depthwise_BN (BatchNor (None, 8, 8, 192) 768 ['block_6_depthwise[0][0]'] \n"," malization) \n"," \n"," block_6_depthwise_relu (ReLU) (None, 8, 8, 192) 0 ['block_6_depthwise_BN[0][0]'] \n"," \n"," block_6_project (Conv2D) (None, 8, 8, 64) 12288 ['block_6_depthwise_relu[0][0]'] \n"," \n"," block_6_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_6_project[0][0]'] \n"," lization) \n"," \n"," block_7_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_6_project_BN[0][0]'] \n"," \n"," block_7_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_7_expand[0][0]'] \n"," ization) \n"," \n"," block_7_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_7_expand_BN[0][0]'] \n"," \n"," block_7_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_7_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_7_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_7_depthwise[0][0]'] \n"," malization) \n"," \n"," block_7_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_7_depthwise_BN[0][0]'] \n"," \n"," block_7_project (Conv2D) (None, 8, 8, 64) 24576 ['block_7_depthwise_relu[0][0]'] \n"," \n"," block_7_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_7_project[0][0]'] \n"," lization) \n"," \n"," block_7_add (Add) (None, 8, 8, 64) 0 ['block_6_project_BN[0][0]', \n"," 'block_7_project_BN[0][0]'] \n"," \n"," block_8_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_7_add[0][0]'] \n"," \n"," block_8_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_8_expand[0][0]'] \n"," ization) \n"," \n"," block_8_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_8_expand_BN[0][0]'] \n"," \n"," block_8_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_8_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_8_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_8_depthwise[0][0]'] \n"," malization) \n"," \n"," block_8_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_8_depthwise_BN[0][0]'] \n"," \n"," block_8_project (Conv2D) (None, 8, 8, 64) 24576 ['block_8_depthwise_relu[0][0]'] \n"," \n"," block_8_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_8_project[0][0]'] \n"," lization) \n"," \n"," block_8_add (Add) (None, 8, 8, 64) 0 ['block_7_add[0][0]', \n"," 'block_8_project_BN[0][0]'] \n"," \n"," block_9_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_8_add[0][0]'] \n"," \n"," block_9_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_9_expand[0][0]'] \n"," ization) \n"," \n"," block_9_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_9_expand_BN[0][0]'] \n"," \n"," block_9_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_9_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_9_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_9_depthwise[0][0]'] \n"," malization) \n"," \n"," block_9_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_9_depthwise_BN[0][0]'] \n"," \n"," block_9_project (Conv2D) (None, 8, 8, 64) 24576 ['block_9_depthwise_relu[0][0]'] \n"," \n"," block_9_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_9_project[0][0]'] \n"," lization) \n"," \n"," block_9_add (Add) (None, 8, 8, 64) 0 ['block_8_add[0][0]', \n"," 'block_9_project_BN[0][0]'] \n"," \n"," block_10_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_9_add[0][0]'] \n"," \n"," block_10_expand_BN (BatchNorma (None, 8, 8, 384) 1536 ['block_10_expand[0][0]'] \n"," lization) \n"," \n"," block_10_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_10_expand_BN[0][0]'] \n"," \n"," block_10_depthwise (DepthwiseC (None, 8, 8, 384) 3456 ['block_10_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_10_depthwise_BN (BatchNo (None, 8, 8, 384) 1536 ['block_10_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_10_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_10_depthwise_BN[0][0]'] \n"," \n"," block_10_project (Conv2D) (None, 8, 8, 96) 36864 ['block_10_depthwise_relu[0][0]']\n"," \n"," block_10_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_10_project[0][0]'] \n"," alization) \n"," \n"," block_11_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_10_project_BN[0][0]'] \n"," \n"," block_11_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_11_expand[0][0]'] \n"," lization) \n"," \n"," block_11_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_11_expand_BN[0][0]'] \n"," \n"," block_11_depthwise (DepthwiseC (None, 8, 8, 576) 5184 ['block_11_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_11_depthwise_BN (BatchNo (None, 8, 8, 576) 2304 ['block_11_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_11_depthwise_relu (ReLU) (None, 8, 8, 576) 0 ['block_11_depthwise_BN[0][0]'] \n"," \n"," block_11_project (Conv2D) (None, 8, 8, 96) 55296 ['block_11_depthwise_relu[0][0]']\n"," \n"," block_11_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_11_project[0][0]'] \n"," alization) \n"," \n"," block_11_add (Add) (None, 8, 8, 96) 0 ['block_10_project_BN[0][0]', \n"," 'block_11_project_BN[0][0]'] \n"," \n"," block_12_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_11_add[0][0]'] \n"," \n"," block_12_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_12_expand[0][0]'] \n"," lization) \n"," \n"," block_12_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_12_expand_BN[0][0]'] \n"," \n"," block_12_depthwise (DepthwiseC (None, 8, 8, 576) 5184 ['block_12_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_12_depthwise_BN (BatchNo (None, 8, 8, 576) 2304 ['block_12_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_12_depthwise_relu (ReLU) (None, 8, 8, 576) 0 ['block_12_depthwise_BN[0][0]'] \n"," \n"," block_12_project (Conv2D) (None, 8, 8, 96) 55296 ['block_12_depthwise_relu[0][0]']\n"," \n"," block_12_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_12_project[0][0]'] \n"," alization) \n"," \n"," block_12_add (Add) (None, 8, 8, 96) 0 ['block_11_add[0][0]', \n"," 'block_12_project_BN[0][0]'] \n"," \n"," block_13_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_12_add[0][0]'] \n"," \n"," block_13_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_13_expand[0][0]'] \n"," lization) \n"," \n"," block_13_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_13_expand_BN[0][0]'] \n"," \n"," block_13_pad (ZeroPadding2D) (None, 9, 9, 576) 0 ['block_13_expand_relu[0][0]'] \n"," \n"," block_13_depthwise (DepthwiseC (None, 4, 4, 576) 5184 ['block_13_pad[0][0]'] \n"," onv2D) \n"," \n"," block_13_depthwise_BN (BatchNo (None, 4, 4, 576) 2304 ['block_13_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_13_depthwise_relu (ReLU) (None, 4, 4, 576) 0 ['block_13_depthwise_BN[0][0]'] \n"," \n"," block_13_project (Conv2D) (None, 4, 4, 160) 92160 ['block_13_depthwise_relu[0][0]']\n"," \n"," block_13_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_13_project[0][0]'] \n"," alization) \n"," \n"," block_14_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_13_project_BN[0][0]'] \n"," \n"," block_14_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_14_expand[0][0]'] \n"," lization) \n"," \n"," block_14_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_14_expand_BN[0][0]'] \n"," \n"," block_14_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_14_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_14_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_14_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_14_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_14_depthwise_BN[0][0]'] \n"," \n"," block_14_project (Conv2D) (None, 4, 4, 160) 153600 ['block_14_depthwise_relu[0][0]']\n"," \n"," block_14_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_14_project[0][0]'] \n"," alization) \n"," \n"," block_14_add (Add) (None, 4, 4, 160) 0 ['block_13_project_BN[0][0]', \n"," 'block_14_project_BN[0][0]'] \n"," \n"," block_15_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_14_add[0][0]'] \n"," \n"," block_15_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_15_expand[0][0]'] \n"," lization) \n"," \n"," block_15_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_15_expand_BN[0][0]'] \n"," \n"," block_15_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_15_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_15_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_15_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_15_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_15_depthwise_BN[0][0]'] \n"," \n"," block_15_project (Conv2D) (None, 4, 4, 160) 153600 ['block_15_depthwise_relu[0][0]']\n"," \n"," block_15_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_15_project[0][0]'] \n"," alization) \n"," \n"," block_15_add (Add) (None, 4, 4, 160) 0 ['block_14_add[0][0]', \n"," 'block_15_project_BN[0][0]'] \n"," \n"," block_16_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_15_add[0][0]'] \n"," \n"," block_16_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_16_expand[0][0]'] \n"," lization) \n"," \n"," block_16_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_16_expand_BN[0][0]'] \n"," \n"," block_16_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_16_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_16_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_16_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_16_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_16_depthwise_BN[0][0]'] \n"," \n"," block_16_project (Conv2D) (None, 4, 4, 320) 307200 ['block_16_depthwise_relu[0][0]']\n"," \n"," block_16_project_BN (BatchNorm (None, 4, 4, 320) 1280 ['block_16_project[0][0]'] \n"," alization) \n"," \n"," Conv_1 (Conv2D) (None, 4, 4, 1280) 409600 ['block_16_project_BN[0][0]'] \n"," \n"," Conv_1_bn (BatchNormalization) (None, 4, 4, 1280) 5120 ['Conv_1[0][0]'] \n"," \n"," out_relu (ReLU) (None, 4, 4, 1280) 0 ['Conv_1_bn[0][0]'] \n"," \n","==================================================================================================\n","Total params: 2,257,984\n","Trainable params: 2,223,872\n","Non-trainable params: 34,112\n","__________________________________________________________________________________________________\n","Model: \"vgg16\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," input_2 (InputLayer) [(None, 128, 128, 3)] 0 \n"," \n"," block1_conv1 (Conv2D) (None, 128, 128, 64) 1792 \n"," \n"," block1_conv2 (Conv2D) (None, 128, 128, 64) 36928 \n"," \n"," block1_pool (MaxPooling2D) (None, 64, 64, 64) 0 \n"," \n"," block2_conv1 (Conv2D) (None, 64, 64, 128) 73856 \n"," \n"," block2_conv2 (Conv2D) (None, 64, 64, 128) 147584 \n"," \n"," block2_pool (MaxPooling2D) (None, 32, 32, 128) 0 \n"," \n"," block3_conv1 (Conv2D) (None, 32, 32, 256) 295168 \n"," \n"," block3_conv2 (Conv2D) (None, 32, 32, 256) 590080 \n"," \n"," block3_conv3 (Conv2D) (None, 32, 32, 256) 590080 \n"," \n"," block3_pool (MaxPooling2D) (None, 16, 16, 256) 0 \n"," \n"," block4_conv1 (Conv2D) (None, 16, 16, 512) 1180160 \n"," \n"," block4_conv2 (Conv2D) (None, 16, 16, 512) 2359808 \n"," \n"," block4_conv3 (Conv2D) (None, 16, 16, 512) 2359808 \n"," \n"," block4_pool (MaxPooling2D) (None, 8, 8, 512) 0 \n"," \n"," block5_conv1 (Conv2D) (None, 8, 8, 512) 2359808 \n"," \n"," block5_conv2 (Conv2D) (None, 8, 8, 512) 2359808 \n"," \n"," block5_conv3 (Conv2D) (None, 8, 8, 512) 2359808 \n"," \n"," block5_pool (MaxPooling2D) (None, 4, 4, 512) 0 \n"," \n","=================================================================\n","Total params: 14,714,688\n","Trainable params: 14,714,688\n","Non-trainable params: 0\n","_________________________________________________________________\n"]}],"source":["# Print base model summary and have a look at the layers\n","base_model.summary()\n","base_model2.summary()"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1657912519062,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"F_Heq3C1eKd-"},"outputs":[],"source":["# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)\n","base_model.trainable = False\n","base_model2.trainable = False"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":659,"status":"ok","timestamp":1657912519713,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"MKx1EtUJea6D"},"outputs":[],"source":["# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n","model = tf.keras.models.Sequential([\n"," base_model,\n"," tf.keras.layers.GlobalAveragePooling2D(),\n"," tf.keras.layers.Dense(64, activation='relu'),\n"," tf.keras.layers.Dropout(0.2),\n"," tf.keras.layers.Dense(1)])\n","model2 = tf.keras.models.Sequential([\n"," base_model2,\n"," tf.keras.layers.GlobalAveragePooling2D(),\n"," tf.keras.layers.Dense(64, activation='relu'),\n"," tf.keras.layers.Dropout(0.2),\n"," tf.keras.layers.Dense(1)])\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"q6I3oTTNgP8L"},"outputs":[],"source":["# Add the final output layer"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":13,"status":"ok","timestamp":1657912519713,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"qdC71fUBgXAg"},"outputs":[],"source":["# Compile you model (set the parameters like loss/optimizers/metrics)\n","base_learning_rate = 0.0001\n","model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=base_learning_rate),\n"," loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n"," metrics=['accuracy'])\n","model2.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=base_learning_rate),\n"," loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n"," metrics=['accuracy'])"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1657912519714,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"6aVQocJwgN5r","outputId":"a2161323-1741-44f3-9504-d1ae4116aae6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," mobilenetv2_1.00_128 (Funct (None, 4, 4, 1280) 2257984 \n"," ional) \n"," \n"," global_average_pooling2d (G (None, 1280) 0 \n"," lobalAveragePooling2D) \n"," \n"," dense (Dense) (None, 64) 81984 \n"," \n"," dropout (Dropout) (None, 64) 0 \n"," \n"," dense_1 (Dense) (None, 1) 65 \n"," \n","=================================================================\n","Total params: 2,340,033\n","Trainable params: 82,049\n","Non-trainable params: 2,257,984\n","_________________________________________________________________\n","Model: \"sequential_1\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," vgg16 (Functional) (None, 4, 4, 512) 14714688 \n"," \n"," global_average_pooling2d_1 (None, 512) 0 \n"," (GlobalAveragePooling2D) \n"," \n"," dense_2 (Dense) (None, 64) 32832 \n"," \n"," dropout_1 (Dropout) (None, 64) 0 \n"," \n"," dense_3 (Dense) (None, 1) 65 \n"," \n","=================================================================\n","Total params: 14,747,585\n","Trainable params: 32,897\n","Non-trainable params: 14,714,688\n","_________________________________________________________________\n"]}],"source":["# Print your model's summary\n","model.summary()\n","model2.summary()"]},{"cell_type":"markdown","metadata":{"id":"RdUSMLggifex"},"source":["### Data Augmentation and Pre-processing\n","Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n","You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)"]},{"cell_type":"code","execution_count":13,"metadata":{"executionInfo":{"elapsed":6,"status":"ok","timestamp":1657912519714,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"DBscSsvkgn39"},"outputs":[],"source":["from keras.applications.vgg16 import preprocess_input # Change according to your base model\n","from keras.applications.mobilenet_v2 import preprocess_input # Change according to your base model\n","# from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","\n","\n","# Your code "]},{"cell_type":"code","execution_count":14,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1657912519714,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"5_GvYKb3OYgs"},"outputs":[],"source":["data_augmentation = tf.keras.Sequential([\n"," tf.keras.layers.RandomFlip('horizontal_and_vertical'),\n"," tf.keras.layers.RandomRotation(0.2),\n","])"]},{"cell_type":"code","execution_count":15,"metadata":{"executionInfo":{"elapsed":2,"status":"ok","timestamp":1657912520966,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"O7NrhUfXOcTm"},"outputs":[],"source":["preprocess_input = tf.keras.applications.mobilenet_v2.preprocess_input\n","preprocess_input2 = tf.keras.applications.vgg16.preprocess_input"]},{"cell_type":"code","execution_count":16,"metadata":{"executionInfo":{"elapsed":1,"status":"ok","timestamp":1657912521341,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"lQrxUKVnOgjY"},"outputs":[],"source":["rescale = tf.keras.layers.Rescaling(1./127.5, offset=-1)"]},{"cell_type":"code","execution_count":17,"metadata":{"executionInfo":{"elapsed":2,"status":"ok","timestamp":1657912521898,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"rhyHEFXDkZr4"},"outputs":[],"source":["# Anything else you wish to try"]},{"cell_type":"markdown","metadata":{"id":"IcKPxCpOkcuG"},"source":["### Training and Validation Dataset \n","Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n","\n","Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you."]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":559,"status":"ok","timestamp":1657912526602,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"sB7hb3ybkJRq","outputId":"78a5a8ed-10e1-49ea-feab-1f89703f2ac5"},"outputs":[{"name":"stdout","output_type":"stream","text":["Found 8982 files belonging to 3 classes.\n"]}],"source":["# Your code\n","BATCH_SIZE = 32\n","IMG_SIZE = (128, 128)\n","\n","dataset = tf.keras.utils.image_dataset_from_directory(path,\n"," shuffle=True,\n"," batch_size=BATCH_SIZE,\n"," image_size=IMG_SIZE)"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1657912526990,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"3YDyiY9GSvU4","outputId":"be7e14ef-5dd8-48b7-a335-d347be93fa11"},"outputs":[{"name":"stdout","output_type":"stream","text":["225\n","56\n"]}],"source":["val_batches = tf.data.experimental.cardinality(dataset)\n","validation_dataset = dataset.take(val_batches // 5)\n","train_dataset = dataset.skip(val_batches // 5)\n","# print(dataset)\n","print('%d' % tf.data.experimental.cardinality(train_dataset))\n","print('%d' % tf.data.experimental.cardinality(validation_dataset))"]},{"cell_type":"code","execution_count":20,"metadata":{"executionInfo":{"elapsed":666,"status":"ok","timestamp":1657912529166,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"cOLlHHWlS1IH"},"outputs":[],"source":["AUTOTUNE = tf.data.AUTOTUNE\n","\n","train_dataset = train_dataset.prefetch(buffer_size=AUTOTUNE)\n","validation_dataset = validation_dataset.prefetch(buffer_size=AUTOTUNE)"]},{"cell_type":"markdown","metadata":{"id":"ZZPsjpT1mp3z"},"source":["### Training \n","Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":162897,"status":"ok","timestamp":1657912696055,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"6OkmrYX5S4Ho","outputId":"678b5eb2-28fb-47d8-ee77-9c82282c93e0"},"outputs":[{"name":"stdout","output_type":"stream","text":["(32, 4, 4, 1280)\n"]}],"source":["image_batch, label_batch = next(iter(train_dataset))\n","feature_batch = base_model(image_batch)\n","print(feature_batch.shape)"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1657912696055,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"BFzarc1lqKHh","outputId":"7e04da6f-afd8-47aa-dd80-b51cc274f78f"},"outputs":[{"name":"stdout","output_type":"stream","text":["(32, 1280)\n"]}],"source":["global_average_layer = tf.keras.layers.GlobalAveragePooling2D()\n","feature_batch_average = global_average_layer(feature_batch)\n","print(feature_batch_average.shape)"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1657912696056,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"E6F0FtQmqLbS","outputId":"7661007f-db0c-4a55-e3e1-11d5998bbad5"},"outputs":[{"name":"stdout","output_type":"stream","text":["(32, 1)\n"]}],"source":["prediction_layer = tf.keras.layers.Dense(1)\n","prediction_batch = prediction_layer(feature_batch_average)\n","print(prediction_batch.shape)"]},{"cell_type":"code","execution_count":24,"metadata":{"executionInfo":{"elapsed":668,"status":"ok","timestamp":1657912696716,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"fOAKW9-eiY7i"},"outputs":[],"source":["inputs = tf.keras.Input(shape=(128, 128, 3))\n","x = preprocess_input(inputs)\n","x = data_augmentation(x)\n","x = base_model(x, training=False)\n","x = global_average_layer(x)\n","x = tf.keras.layers.Dropout(0.2)(x)\n","outputs = prediction_layer(x)\n","model3 = tf.keras.Model(inputs, outputs)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"oCslrJ1n_smJ"},"outputs":[],"source":["model4 = tf.keras.models.Sequential([inputs,\n"," rescale,\n"," data_augmentation,\n"," base_model,\n"," tf.keras.layers.GlobalAveragePooling2D(),\n"," tf.keras.layers.Dense(64, activation='relu'),\n"," tf.keras.layers.Dropout(0.2),\n"," tf.keras.layers.Dense(1)])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1657891304046,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"-xqibg6P5K50","outputId":"40623ecd-ec08-468f-de15-acb73f7e5b17"},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"sequential_8\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," rescaling (Rescaling) (None, 128, 128, 3) 0 \n"," \n"," sequential (Sequential) (None, 128, 128, 3) 0 \n"," \n"," mobilenetv2_1.00_128 (Funct (None, 4, 4, 1280) 2257984 \n"," ional) \n"," \n"," global_average_pooling2d_10 (None, 1280) 0 \n"," (GlobalAveragePooling2D) \n"," \n"," dense_17 (Dense) (None, 64) 81984 \n"," \n"," dropout_16 (Dropout) (None, 64) 0 \n"," \n"," dense_18 (Dense) (None, 1) 65 \n"," \n","=================================================================\n","Total params: 2,340,033\n","Trainable params: 82,049\n","Non-trainable params: 2,257,984\n","_________________________________________________________________\n"]}],"source":["model4.summary()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"oij0ScjHA764"},"outputs":[],"source":["model4.compile(optimizer='adam',\n"," loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n"," metrics=['accuracy'])"]},{"cell_type":"code","execution_count":25,"metadata":{"executionInfo":{"elapsed":12,"status":"ok","timestamp":1657912696717,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"jRXLd9jpqTob"},"outputs":[],"source":["base_learning_rate = 0.000001\n","model3.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=base_learning_rate),\n"," loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n"," metrics=['accuracy'])"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6740,"status":"ok","timestamp":1657912710512,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"FVRA2ZDRXBmK","outputId":"04cc8d13-284d-4a2c-fb2d-ef23f38c3626"},"outputs":[{"name":"stdout","output_type":"stream","text":["56/56 [==============================] - 6s 60ms/step - loss: 0.5174 - accuracy: 0.3410\n"]}],"source":["initial_epochs = 10\n","\n","# loss0, accuracy0 = model.evaluate(validation_dataset)\n","# loss0, accuracy0 = model2.evaluate(validation_dataset)\n","# loss0, accuracy0 = model4.evaluate(validation_dataset)\n","loss0, accuracy0 = model3.evaluate(validation_dataset)"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":627342,"status":"ok","timestamp":1657913342237,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"Gs2X14MBmu7W","outputId":"f5a34a05-81d6-4bb0-c371-46e466961b5c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/10\n","225/225 [==============================] - 400s 2s/step - loss: 0.7433 - accuracy: 0.2790 - val_loss: 0.4865 - val_accuracy: 0.3298\n","Epoch 2/10\n","225/225 [==============================] - 19s 74ms/step - loss: 0.7147 - accuracy: 0.2798 - val_loss: 0.4553 - val_accuracy: 0.3292\n","Epoch 3/10\n","225/225 [==============================] - 19s 74ms/step - loss: 0.6773 - accuracy: 0.2734 - val_loss: 0.4193 - val_accuracy: 0.3365\n","Epoch 4/10\n","225/225 [==============================] - 21s 80ms/step - loss: 0.6320 - accuracy: 0.2773 - val_loss: 0.3907 - val_accuracy: 0.3443\n","Epoch 5/10\n","225/225 [==============================] - 20s 75ms/step - loss: 0.6055 - accuracy: 0.2807 - val_loss: 0.3658 - val_accuracy: 0.3398\n","Epoch 6/10\n","225/225 [==============================] - 19s 74ms/step - loss: 0.5643 - accuracy: 0.2847 - val_loss: 0.3407 - val_accuracy: 0.3438\n","Epoch 7/10\n","225/225 [==============================] - 19s 73ms/step - loss: 0.5298 - accuracy: 0.2815 - val_loss: 0.3143 - val_accuracy: 0.3393\n","Epoch 8/10\n","225/225 [==============================] - 20s 75ms/step - loss: 0.4985 - accuracy: 0.2865 - val_loss: 0.2780 - val_accuracy: 0.3404\n","Epoch 9/10\n","225/225 [==============================] - 20s 78ms/step - loss: 0.4947 - accuracy: 0.2851 - val_loss: 0.2527 - val_accuracy: 0.3460\n","Epoch 10/10\n","225/225 [==============================] - 19s 73ms/step - loss: 0.4468 - accuracy: 0.2858 - val_loss: 0.2419 - val_accuracy: 0.3359\n"]}],"source":["from keras.callbacks import ModelCheckpoint\n","# ModelCheckpoint is helpful to save the model giving best results (brownie points)\n","history = model3.fit(train_dataset,\n"," epochs=initial_epochs,\n"," validation_data=validation_dataset)\n"]},{"cell_type":"markdown","metadata":{"id":"FTvRa1FXri4R"},"source":["### Evaluate the performance"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":243},"executionInfo":{"elapsed":378,"status":"error","timestamp":1657913380526,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"cTH6flzcrck0","outputId":"01593506-4c24-45f0-85a3-aa70ff8a6b23"},"outputs":[{"ename":"NameError","evalue":"name 'history' is not defined","output_type":"error","traceback":["\u001b[1;31m---------------------------------------------------------------------------\u001b[0m","\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[1;32mc:\\Users\\prakh\\Desktop\\SnTSummerProjects\\Computer Vision using TensorFlow\\ICG-Computer-Vision-using-Tensorflow\\Final Task\\A4_200698.ipynb Cell 46\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[39m# Plot training & validation loss/accuracy values\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m acc \u001b[39m=\u001b[39m history\u001b[39m.\u001b[39mhistory[\u001b[39m'\u001b[39m\u001b[39maccuracy\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m 3\u001b[0m val_acc \u001b[39m=\u001b[39m history\u001b[39m.\u001b[39mhistory[\u001b[39m'\u001b[39m\u001b[39mval_accuracy\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m 5\u001b[0m loss \u001b[39m=\u001b[39m history\u001b[39m.\u001b[39mhistory[\u001b[39m'\u001b[39m\u001b[39mloss\u001b[39m\u001b[39m'\u001b[39m]\n","\u001b[1;31mNameError\u001b[0m: name 'history' is not defined"]}],"source":["# Plot training & validation loss/accuracy values\n","acc = history.history['accuracy']\n","val_acc = history.history['val_accuracy']\n","\n","loss = history.history['loss']\n","val_loss = history.history['val_loss']\n","\n","plt.figure(figsize=(8, 8))\n","plt.subplot(2, 1, 1)\n","plt.plot(acc, label='Training Accuracy')\n","plt.plot(val_acc, label='Validation Accuracy')\n","plt.legend(loc='lower right')\n","plt.ylabel('Accuracy')\n","plt.ylim([min(plt.ylim()),1])\n","plt.title('Training and Validation Accuracy')\n","\n","plt.subplot(2, 1, 2)\n","plt.plot(loss, label='Training Loss')\n","plt.plot(val_loss, label='Validation Loss')\n","plt.legend(loc='upper right')\n","plt.ylabel('Cross Entropy')\n","plt.ylim([-10.0,1.0])\n","plt.title('Training and Validation Loss')\n","plt.xlabel('epoch')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"executionInfo":{"elapsed":9,"status":"aborted","timestamp":1657913342237,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"fJ-ZtU84r66Z"},"outputs":[],"source":["from sklearn.metrics import classification_report, confusion_matrix\n","import numpy as np\n","\n","# print classification report\n","validation_classes = []\n","validation_images = []\n","for i in range( -(-validation_label_generator.samples // validation_label_generator.batch_size)):\n"," batch = validation_label_generator.next()\n"," expected = np.argmax(batch[1], axis=1) \n"," validation_classes.extend(expected)\n"," validation_images.extend(batch[0])\n","validation_classes = np.array(validation_classes)\n","validation_images = np.array(validation_images)\n","Y_pred = model.predict(validation_images)\n","y_pred = np.argmax(Y_pred, axis=1)\n","\n","\n","print(classification_report(validation_classes, y_pred, \n","\t\ttarget_names = ['mask_weared_incorrect', 'with_mask', 'without_mask']))\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"VytDxkswrvXw"},"outputs":[],"source":["# Use the classification report to print precision, recall, f1-score for the three classes(optional, brownie points)"]}],"metadata":{"accelerator":"GPU","colab":{"collapsed_sections":[],"name":"A4_200698.ipynb","provenance":[{"file_id":"1-StHlJj6XIfC0fptgdCWJ_OT_11cDP2G","timestamp":1657431012033},{"file_id":"161I3lETOZM4v3Mqmr7L7NY7gb6XbSyNJ","timestamp":1656064995558}]},"gpuClass":"standard","kernelspec":{"display_name":"Python 3.9.13 64-bit (windows store)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.13"},"vscode":{"interpreter":{"hash":"c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77"}}},"nbformat":4,"nbformat_minor":0} From 146e96e3199dfe2989089f5be15ca40ea8caa366 Mon Sep 17 00:00:00 2001 From: TheTUFGuy Date: Fri, 22 Jul 2022 16:35:36 +0530 Subject: [PATCH 4/5] Improve Accuracy --- Final Task/A4_200698.ipynb | 984 ++++++++++++++++++++++++++++++++++++- 1 file changed, 983 insertions(+), 1 deletion(-) diff --git a/Final Task/A4_200698.ipynb b/Final Task/A4_200698.ipynb index 2da8b7f..8fc4a5e 100644 --- a/Final Task/A4_200698.ipynb +++ b/Final Task/A4_200698.ipynb @@ -1 +1,983 @@ -{"cells":[{"cell_type":"markdown","metadata":{"id":"rtI19Rt-H7Uc"},"source":["## Final Task:\n","This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. "]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":5365,"status":"ok","timestamp":1657912482192,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"c2CiXcHQTbX8"},"outputs":[],"source":["import tensorflow as tf"]},{"cell_type":"markdown","metadata":{"id":"QKDPyiZTIm1c"},"source":["### Loading the dataset\n","Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly."]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17205,"status":"ok","timestamp":1657912501743,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"hNEMe7XsIjrK","outputId":"1ae7957d-cab2-4a00-d8c1-f1632ef3fca4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/drive\n"]}],"source":["# Mount Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":3,"status":"ok","timestamp":1657912501743,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"8CXzo4MOJOl8"},"outputs":[],"source":["import pathlib\n","\n","path='/content/drive/MyDrive/Mask_Dataset/'\n","data_dir = pathlib.Path(path)"]},{"cell_type":"markdown","metadata":{"id":"YHPHkGyDKscK"},"source":["### Know the Dataset\n","Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit."]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10275,"status":"ok","timestamp":1657912512015,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"PzbSy-vXKjD-","outputId":"aeea5e4e-44a8-47f1-9726-22941939ba52"},"outputs":[{"name":"stdout","output_type":"stream","text":["8982\n"]}],"source":["# Print image count\n","image_count = len(list(data_dir.glob('*/*.png')))\n","print(image_count)"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1657912512015,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"rFHWFYj5NCVm","outputId":"cf9b6eaf-41a0-4427-e8ed-bcc6910695bd"},"outputs":[{"name":"stdout","output_type":"stream","text":["['with_mask', 'mask_weared_incorrect', 'without_mask']\n"]}],"source":["# Print Output Labels\n","import os\n","output_classes = os.listdir(data_dir)\n","print(output_classes)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":791,"status":"ok","timestamp":1657887008730,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"fESyMw90KaxN","outputId":"0912a6e9-e97d-464e-c08e-96e167b928c2"},"outputs":[{"name":"stdout","output_type":"stream","text":["[2994, 2994, 2994]\n"]},{"data":{"image/png":"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","text/plain":["
"]},"metadata":{},"output_type":"display_data"}],"source":["# Plot count of each ouput label\n","import matplotlib.pyplot as plt\n","\n","count=[]\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," count.append(len(im_count))\n","\n","print(count)\n","\n","plt.bar(output_classes,count)\n","plt.title(\"Statistics\")\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1657887012555,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"HDSJ2Zk5a14s","outputId":"69271907-6da7-406c-dfeb-fc5452808a48"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAAAvf0lEQVR4nNV925LrSI6kA8GcxzVbs/n//0yJAewD4ACC0qnqMevZ7mbVyZSYFBmBi8OBuEj++//+HxERERVRFRXV+CdQkbWua63run5+fq4Vh651raUqIiKAAA53d8d5iEj8BpAvAffn5f5xWBz1wszN4wzczW0+K57Cn/NRAOBwPhX5Kc9/2bJxGzk+25/xesfPeLUccI/WeTa4upEPzFdWfRaMM7jwn354dMmP93HEby9xC+BhDyFUwTSP/CGlJtRt3IWac0qfkg2bccufqXT3eUeBqEjrz2Hu6m5m/zkKSPlFd6L3QIumDy9LdUkp8w/zFx66EkiqA4BL3/xwH8o2np92HWZP7wbgIiiliigfko1y8+1mZoD+Bygg0SHMVuDiJcqSUr4fqBLyKsPtc3Xb+OdCXR3YldourHnoAV4Y4vDAlPAuEQDKdgMikHwVt3XA1GXLhgj+XT0gLCgCkRtcARNXmFdoieMTzY+/MAb0laElAVxEPOTvSOAJrXgKOO29kAYox8vT/QQGovqPoUniZ3pXPMXcNiACE/l3VICIOFRhplBT1+y9uasZVN0NLiGVD9ETmvjaW/Q+LhGBu4h4KcQrZpAoTOmn+OvX1O8h/TzyTekinh+31TirqvIvC8KCRpJ4TwARwKECh6qkb7s5AHE3QNzcVxGpljZfjH/xlI4S44EZuxN4+KKsOnVQURbjv9nsCNoyTV6ohXw7qJBLu6yoAPgXKUAyOnqhthcgu0AhLi7uDld4yFDVzUQ1iEajAtCsVshB6qW3psPeG2oejJWX162bT/KPD4tpmiP5K96LoJUgInADYAwpRcAA/1cpAEX/pkREPhgN3wvEE/4FmuQkITqvStOVEQ+cgC7JJDGe0MJCglB8xlOF01sOZtr3J3WSkRzIwCEVAWAZYUQewOjAP0MBT4mB7Xi0tt8L+Yw3E4ccPSxrDA8HPHg01UHAJgAJbT8FDoqxWiDlcM1IKocjyRoINOBmxpSzL4X2UoElRa9aDU08k7AiBm5q+H+igD/I9LQWdrbcc1x23CriIETyxbhfATIGk+w8gNGiXXoAtY/weT51iP6pAaEFpKxbSphJWHe1gD4/XYQTIsoIMJP87NeQT778ewV0WO8XxwV/BY5DAgMeinikDuKPIh68ZLZ1IsaIE6foIwvtHoMs5myVDB00YSSwpZGiFedMOepUSx9TJCVUQo+GvLvmIic/QGn8qYC2jyJKUR5SVaVuSwWHvaCb0Y84pVBMBw+NOQFSSnDDcqV7cCrU3boGQFmNOzSv4p0qatLohzAC7IZ+p9AL4EM4Ae/007ovaPgglRq8wK0CV5nEFxoarcuqnC6N8pvGGxUV0YJfOd2cZODR9uf9j/DGH8Rdf9g//QJeMP/kKESfln4T1Oyr0NkGbpStVdVA3L3a5yXCMqImOaVXGkUSBM+2GjvjgLOW2O0UieKQPFkQmauIUvrXioLoWlEAbYDrzKU+3G79RQEkIQ/p15UZrYb0y1nhT1Uy94/LGLUBt+p4G22IJyGw+9iukU4p6foZyQlxx0U0/BHaMmR5+JD7dsviHM2B1V1KX1RTBdCLoODRKBUJW19rXWtd67qqDK1a3lYSOuzoIf1vofnjaBsagerA/Y/XhfZpo/Eyi9VMEz4fIiNX0jajFuPTPXE+Mo1B2N4yDPEM1O6AmW3be28zmwogtRBREXdVF1dRXHFLLbMP2w/ciR/hDKKMPR80qCX/KX22/Ly+Tzszfzr8Z3gY93SHOWvrnsVIawf3eZMONh2ZmiiKiAwnpk9P0Z+hFzL61FB/aMjc9rZ73/u+cxxj0qBQu6u6m7sqBLg0A60sHRpg1F31SkVEH9I5XfhDMX9xDGb3h2NgOg9j0K26e+hgWw+ERGgKzp1Fgsl86tAxAEPEEhFhbUmiSvTRwtIBsw5MDDSze99x7H3bSBVFRKHQrKtonLJSwDjWyp8BOyH/rqnSaj49wSvm/4VgP7RQCeL0fx8B17xQNP+nMmzvHf9sWxlaI0wW3Fr2EAiNqZhckB8nzxWZDZMSsk83mdkyuZ47whS27W2BQVbqjKf7QOLApCtGF8PYE3iUgq+AO4Xd/twhoLDnQ/IzYvgZBoaHe0MMKgVNq0+auW1bj1HaNtv3vvdtO4cv6eUQUagojYzMB0nupge0BAViPBH+k4LL9khrodo9vIFnvIMvESqDbsEIQHYvAuD6+fmRGhCm+WdDlYUlnI/6xJoZK//iKAVVHM3mGiamsgNp8mFUZmZ7m+0dkt/3fe+9I+zyzuIqKhAoVjcpa2LBMUgBQxbuLi4OS3ozSEU1tPKCII7U2YPFTaFDREU9lU9O37FHRUWjGdd1rfLZAf6iZS/1DJdqlX8CUDWYTEHO7Kk9mdY+jxnSWvrj2DsVcb/f7/t+v9/3+73JLqIxqipQaMekWRrLbqYotKEgi7DCD+U/IuqIcFMas8vF4gSJck4UjIflEyV1IyIaqC7Xz/UT5yvTrbD7IVk/2Xw7sZ+mP8JzFYAbXyjgMcnhoO5uEc44x4A/8sy9932/SwGEmKDWDCZNt9n5mOjB2FB57Gh0EESIzBGEkn11i4kF2mej2UP4vLQgD2kIo7GJMNd1XTORzj8Oujbhv01klHVaQbO1h6UkZ0cBZGSHSSOZVTEMcJSb2immmsDbKokRmhAKwUWnv09PlgkCIoEnUlbiznLa6G6E5QoMIggdTbTssq3HE6GAKhAjX+N+bEd4YjzuWisrR+Eg6SuphMNGZDSjGjg5zFP8+EImEUINjjBmy9TPDGXDLcLqRCFG9yWQg7J8EujC0p7sxDlP1Ey4QAwtCCAqBNakKylaEpdS29lLWr8EYRJXU18FSEMyDYHsDwC5NNg98anoMQ2FbFnKBaekizd8OYqcMUFKowZJe2Upp7ukxCvOiDAFErhY8IW11G0JVIDiz8zZ18rClR65Df0hnYB8BhDAKlJ8ZdeRTpRVKmAY7o/yJcSIb/QfFUpSd4p+dHrOpSqFvtJANOWPL60ah5wEnkEBjTzFNRl8Cz1nSElvj2oWXCrDJy8skF26fDkrp6wbrkzhO3uRpHv8JeVBFOcUcVlq9cirI6giEJuqcMM0kaYbFQB9uk9JNGIpkevC4L19aYnmFP2IxI+4i/OqsgBy+jqT7VCFBX5ND4qPmMVECAfMqwpa5iqyVLGWShQ5CUFp8CtpHxEnnENENPP6RC8KofygLS9yYiujOcNgNUSTxAoFEwlDac/bfJMjtK0XQbvGrelhbfoddjGuGy0a3HKIfvzl/GiYkGpZ90f1pcprZkaEBtMbcwkPVxWIi6FYBYNu8x5OcQ3XqDENRr/ssnsOtbXbH6bUHtC/iRYB3KUSGnWLR5qPSc2Pc7gkYxJwQMYHvkE6FpT0y6vweXyR/pA5/bfpupRNE4yEBY6kO2pmKrJT/oYZMRKIFJDFgNr0pkJlm3//KE4o3bSSK9HwixYg7c6zry0jSfcmsORfq7/CC6u4wQderO1UGJEhp4rIBZgyGnV04tNRAOQgI0L8TjvzML2cuxkGVRUVpOGnRzhiPCMysxBEDkcpwWbILOEzwu2TEWWWfKA0GY9U4O8uJgNOzt9tzDuUbIpEemmAeilqU6eYxSa+fB8TFpl3qBg8lHtce5SAZtTI8T05EmdJ7x03YxaQPZ8psvXYBuidFdOalE6wLAdIcpTiR+f1bF40XoJOQ87Gj2DmEWaZKrT0qzf5Y96AMuv/kvpkyTU44vUQJ9gOOvN32DnOCUskH1fG/Kr4jzEpWR2jhxzRutIzs+g6WrQyiUhJvwh0nW/1VBhgYMjLmoJVgXAmlI3hJ6HgQxwi0Ke2nmo4jLRiTo225V3lmmAvFQBK/N1qNk/+AYXktQ556KC6HQx1hoKZF1v4QbZDIQbXHo0gNupAyeMPHQPSRY7EsmpaUurvhEeIvQJIzEB9dFEE6g9Wyv4SaDBUOq6SAm8n6bi6KDVsR0SyZDg797zbtKY8c6g9RC7EdIo+G8skgRnaBB5Sc0BFHQ71SZkYREc4rcfTBaoWEfMI2sqmbEoqglYdFNAMAOgZSw2jBarhuiJ+gvAhC/oYw9pTY9cUmrb5i3bwOOH7q7kXj/hoR3Hpfi4rO2drmCcPuA9XF2dXP7uJevhw3mFH1eQZxuSjSfVpiALGuoRzRuMBUcWfyS/8i0R4ZlSQDxblDgPccalq6W/UStK4ZhJy2PfD/b5L/2z6l3d1thhplSZSc0XJkPTZp/CcnfKG0MpjCCbh8jl1oS48TLLAGxCICqzjCGymNIXgJjlddRrkAJNiqvOToOOnf3mMCacIcFjOn46HT5wP/pT1p6XXT1rSAKAMgfydznWgYOWBff3RECaR2oSFhKNAaJ7sysih2sAjVTHXYgl0wSLhVVD9Io0p+vE0ip4PupYmvqYFncj/MP8P6R/++RF2fPz7ONiIQ47Oqm5kNbxZdHdQkUpg+9Z0dcnwPCGoG9iZaxekqB/CRABgxHjVSMnHf/UwYSho3iEDcR7oW9EOsHQCSQ9ggGsfwCMAPCLx85CHKX7aZZ0qq2fdhxDiD+7mn7ftuDYyuO63z+sEhKHDHvrlI+g/G1w0kCkAm5wglhMvTqHIYXnjriFdOnl0OIV8qSp5R3vnUMLE/Wc7p6K//OXRp3mqUBCjVlcexqKKDBbYDfDjJnKSPoo8zR9T7HmhB46d9z01jaTPIj3gwUYnCQqa/FUq3eTRYIIXHT4BR66OrfTwintP6TuOjLbF8KfjYfl5vRTydARtcPMKYU5FHD2TfGGH5p7P/ZSK5PkuxXTNYBSqMPQpo1I6eisthwTKD9AnVvrQAZ3NGY0imbyE0MOGpunzHW2wNCjftPDZzNGSil0TA4iQharH7HS0c022kl2BDUgtChfcuanPoyogdUqG5yAGGImI4ZSs2HzRL20+2t7uITHPfjbeOSE4hdAxwOE1PHnWgoZPpf370XVJHVTTv8ud77ykTxEWaR6VccbSM1ynG8ihvnoIIczdzDyNScBJCMX7q82UfsndU2qtSHt4FItRZ5yIu2Q1Z07cktknlPT7cRUIwLxbVPU6Y1erYUpjvqBWDu08wHlEoSF9L7tn6jjKMGcklMKl6o/PGz8yZ5KHntE06XmC2ojvHw6aguYU8jkjxsfWFCJjcBTsWZkjldyY0YxrXE/IiVnQ10xGSvoT/eljpw7Owx+/61MBhk1YKH1HkpwHUM7ejV0bfMQMJsU5NyI+zeJzKoExuKCnWfRMqkvwNYHcuTPInJTk7cGjwDCsjGIbUpz99Q5XqYkUsqr+eauCD3J2MEQ8wuP8YInSzwZNGJorvQSowV/pBh54UPCZjJCTJjyl8ij+YxZyuwmMgUf2VVMziERmO6edcs5vy77Xs3kuqZFTTsP2s8slj9PH01zWJSUcEs8WeLn3nwSNvvZx5nldrIf0ctpJ7yCjzd/u4EPcZftFqYEeEeOwlxLuKayy7ZI+WMmpo+bg7fveVEDK/gSGBtYasz4i+6P5/RHMnoqoykUrITECY9NcCvddNn8ltPPC4zLhGFSvXCtfebqdM32fhj/tks5f1hPSp8gcGFOrzTiLGlwtASCH3Pbee9u+732HBmxHlhi31Zxm1d4dbc/R1Bxbq9JnYk9NdycB7lZLzNd7LlHq1Dej9RGwpiATxoGnGgb61219vK5zE/xlMg2SHHj9asznfHUvZlM4lGjPVWzRbDePCez73mabyvMqe7nDC3biuHdMRg3ZSszTdHWxP0MvnLSURgy6xlMSNRF6LUJQiX/KizS8AHtAxvHKK4v+tOAmOlO2aAryBbq8Tjd5JmA3BBWbOHvIOyCNP+aS3ve+7/feO5xIxkwKODymv6cT7B2uEuFXJLYLISBDuN46u1bFqc5knAENFaqdFyf94SKA6xNFMrKFm1Ko8hBiS76NmOL+UzQYf3gq6kMrrL1UilTBs6BchgS6SuTubnDUCo77vt93/tjbwk5FJKbO1efOuEuM85xM4HC4uetoK6Gi5Va5m0z89u6QIAjbUl1XekDf6xDEPHsUxU7/mLL+IEfnrZoduw8/KLDpM07I9468MxRzNcYc5EqwcTFzg8diub333u/7HQ4Q8g2bVlUzq0FOr8DCTFhoz2ySC+Dmvexj/J58/2FbDhhyUjIkwadmUEYM+LDaWoPUwju1VKmHHM5GKT50UOqbYs5+n00tYsiaVbnFMKR5VN3KU4i7hFAKyHhqhtyaolfbdpgxi4HoDOKSGEVFF5h/K8Qcbz3l9bAxc+dIqa6cRxlTaq6svsxPjP7FeZFh2sc68i8MVUrIHVWL7RDOS5Qp1mk/VeKp16hY4eOmciRZcE5bR3pDcp8Qa85JBoAay2e3K5mCQLE8p12HzkiEIA9RS/0s86supcr8IVROVsq1GBAAF6QylJSBcA+i42mdzFaWNNk/GzJsnL+8BXsiztx2o92jNICC4vxBtTm44rPnndRtKgWPySMiUBWR5Zpho/gguVT1OoipTz8bb47yxpB8Fa0eUfI4SIxrmkZKy3Ehrfvh2/i74/GRrwHA6ye14PAxkHI2tVG/560fsYB+lOQlF3KuxVXMOowmM5qcDdqMC4xHbmZRgkX+ShWMTQFj04HhcU/SNfzgg1XQot2brefVBRDudvHTkqA+Pk6Er9bg23OmGD2zkaGDNN5+UdLmKyf8E6Na4E1IpiVmJWtpLCNfqxcggjVcV4XnJOujPWDIzayN+DXtOyOBmpr6WWtIw/9moOfQjQwIqpTK+dbNTdzEjtnRH1KlN0vrubh+//j2GZTFo5g85d4mUXfomEGj7xeMCNEXEQGYx1zroha4oq3J+FQlrS9ua2bBXHsmaFV4OHtMIiCooydnPRVxiv8QSTzWUuKJzVKdjDaYSW1XI5/b9PiUzfdy0KMBEzrPn1734/pzafXy/4KrIv0l+7y1AACXY8RGIlzRfCoArbaDCrjDRh+leua0zYH/1eXaXPFhb9KochzZ9hkpJ18GM0kzO9cHFKmpTjs+dP0dg2bc9fqv9O3jDzM3PiC+uu/j//4NpGEKYsptJJNzBWRd5N7bxDH2x6QvqwcOc0Hi3TShU9D+8eLzz2VoTLuq0Qg+0OliEgAV81ELknN7hO9h3R/nS/TP3yXeiTLih2gH1R/Sn55xyiK4YFedc+VFBuVhYqhJU6TlJxiWP+WEh9yBwjPSNe65z76OiNgNq1GLcfcRuFkcRK6U0hFt3OGfQ5JtGjJHSz4P/3jVWhhCLAusJ2DKlgZz3Kpa4K3xZIkBQDHzGTPwdmOcjceQ+sPqqZdjj3aGO3rj09vLhX1MAGK5y8vqug+Co9FrHYtoIQJc/vEYzID+F9jPDvJpU/qF5UOu03VkivqzBUyUnBuJBeAKlJsp9MxotpjNiZNh8eLczcZqUxvjxvhunnW3bTUoU9usYpjBg/a0gzHe83RpOCwGLI+nu66FY92mSMWAQzisa39TzdmMEzMnZB8Qe7z+qtK6RgSAtk9Ixqa09G64sBIUW0NUPKU5urt7F5lLB06rr/EXniMOfkZpPxsuNa9duNitAgtNrYwj6w9MGgMzyR0geoFg+ZmMVZFiaPUZGCpJmGL3Qx/8+xwYrsgHZ4uZjyTZfR4h9NrAKPP52BwlDA29SbC5V2X/3nfaOHdFoA9wlKxQcGJhqyCtecIXtyIqxnt+grYw6kY5ACOqwg34oiJ1PT7Zc06GlP/i6MTglO74aIbfkaU+blo6yEw0Z0049+f2nHiSR6/47fBbiF6Ynrsm3RzbGoQLBUYjUYiWfnS2cPVg4pRRTSCCY2wMDakOt52lc8UWKlnz+zIi9qhK/AGFPq4YMWAQ/JJtBaaBK9nhSRi8QL1UADe4zg0PgXKHXp4XvdvcwWmb3e83d67azgGjyhB6qX6ST3laBRvIglVlAjXqxS0i5DC3qaI4k7qW7TtHS10Xa6NyISZ0lX6H6f8xBsgp8Q/FCCPEoaj0hKN77eAdd2uCdOCFmhts3LqKESKVf8Wgbgy7sAodtr/NPLNnkSrvovbIIk4T7Adxy3ajPxT6IzucceEp/clW6Wyx6zsgosvcYrXw9cE0/cMNnvL945kHbs2c4RGYh/QzoRxjG2A91t1NTU1sjr0cjN8hYmaxUdv79X6939u2mcf4lnuO6mryVrh7LK4QFTe1ipqQDKVW4YDJZGIKl1NTYrRy8erwMzXO+BzjbLL32ubmDMwK5gEN3Aw6qOHuQkGvWx4PmB+bmHUGa4waIBED+aCqiVX4yQlmgKSHS8lh3DVuFaO+7/v9fr3f7/f7fuzDIhJxb+nS8CsdMYB7IjBfZ41gJJHeTlL85juZk+M3dWXm7/u+7w3Bui5zjyKur+XuzANGOZCeyWSjc8cjrOYyazlmpJYOhg89XYq435P5TvHXBjj1IWH7Plw7ht3f9+v1er1f79f7vm/viJlBu3YADmJnZhAzE4nkC8lBbTDUuHk5W7FctJBOoR9qSFZGTrzv+369Xua4fgyQ2Is1aag7N00+uCvokn1XL210s+Jqn0vZzpDUYn+yq37QSGU/wk5mM+gwLMk4M8O67/v39Xr9vl7v133vvQ1AsFUOgOQaVScgeO1GVxlZZg3bcj6KJQfI4quyLVP6xyBZB+U6qRCR7e7u+96v923mO6bTqDqwDf9l5QFjdx4c0mib/0NgAInBOMabOZ3CKz6ngoUQlH/m1I58KzE4K1yKRQMxN2zsbfd9v17v39fr/Xq97wSfSAxiJa+Zx9Y+5i46EDkSsGHtOWsrdgFMBiYivmIRY7ZYOJwVLJM+UYE0g7lQDwL3bX6b3fe+N9TcoZDlLmayza/Y9avv1MLyae9fRN+4X+KXIeTjuo4oUhCXnepHnutteS/xKhPGo7Y54G73vV/v9yvN/73vHSFXdTlcHSLmuUOhlB5LARw0Lj6ae5IKx+xEfHESBDfeav8jPnwbo29vw3Zs821usaZk++t9O17usl1+tuVmHU7ETdSiFX8E2SncI0qzAvRV+qd6J99pPtN/qiUsB2AxVFYNIWz/9ft6vV7v99uimimiy9SWqmHsDxJ2GcG/9iJ9zhZ1wF0RQ8z5qarlaG52kI7op2cjrSrokjgk7ndvv80N4qIRbO57O24XcWBv61oQETKNv8NYnEiXO6iI4+D1H2KfG4d4fbhLHx8qlvp767IoSlKnmGO47/37ev3+/v6+Xu/3674H44ytsXvxISqBSw9ggt0zgeKynvUTw8vPDc8yGI0hXqa7QqInsYuEQSKk3ztQ7bBKd7Nt7/s294spTQ4XVFkcxDsHan+Z8BOvQbYHNLVzSq7hPNzlBKNP/lDxIRSbQZ/E1c0dnGp43+/cujLm/eT0BgDINTPcTp1elV9B08UHVu9TyW0mTLOrcJkpN4BZ+FTqgAooD4j/zX1vvzMdsbY5ynnft227uJlWiLSaJ2xzRYdykMGOepH+KdeaXt0y/xD0h/r6Id9stUbxcmtmI3+JqMcRyQz64S9Ib64W5SNZWx2om2JTxxJRkaVyxXSL3Goi5hsRT0UA8QwqQbSl68+i8ayY7G57lyPGLwdi10gRu4IbsJw1peSt8ZbbITzhcNAZw2PAAmnAVa+aeP8R1osIlYJppDamqXQymB1VXWsBELEUylRsQaSMbKNSqtMuIvaquwpWLh/SK2Hfj9uiCoBsZEE4c1yhudSEbD4xcYNJtl/E5bbeAm73KbgIPVXR6fArXZ4Fpd7JVH9XYPZ3LnGvM/U6LeoYxRr9Voirr3U55CfOcEZtAAjdBnsMMVb6AI39Qlm/BqLmSgUE94cKcgtAqV55RqhUJDG4+F8SJe5KJEm3NndIZeCW6mnI8oqET+YI6ijMefgWlLZEfaGFVgKu0QAuV4j+ne6R6paahsF0GHWHgiDQfOGIEUgAOWMnp1hePzG13x2AeRA+M7P4koSydk363vtrFWUBnFDiDoNkIOiB/jCv/EDH86oRVNQQVaKhn857iGAel6FGF2ho4ANQJjSw/nz/9fDj1YgMqaZKt/yoL7R39g1EAFeoRzoAEVUs971M97IeX3T3UACjQ87GzZAkzJFKQgm9LIukyCAGHxVmb7MvlGeEys4FvmXIXpDkP2O02b2rIy3jsI2rejnkNMTXzhAWOQdWwLBZ1zvgLlU99iNulKwlqeYY+fL+7XUrqW/eiUdFIhQ4I2qqyX1YSXCPckKGPitqL3x+aFGmPcSEtYg2YiVgp/H4EErWxqSSEoIwh32T+45lltMBTqFl36/BPAAOaadHdD7dkslgMALD0JbDDSZekxrdKxsa2oTk/dGPHToYDWZ9xMvJBVnRFGeJpqnSNgNMxCEmFtsZOL9Lp9VPu3CibMQBT4jpPHRypJRGlPNK+ukWyVghWra/NyFooPKUfvT5CjioeFKCj3vTCqp9+UgpMbZePV1ExR2wcOPza2fyQvbviNudbT1BSLiyR2rP29zNqnRmBoi4asQ7hxg05gYa+AUbzrpjhOuKNS2RjFqn9U/LKady8wTQbJooRF3ELYs/m6vMUp9deDkw5EpFe6ZX0+PIvRy92q8KrdJqAobRhlWaq8KsWv2ICkUO89xwgAq87kUZ81pVxE5VBJCC78xgXeCqBjeI+DZIKIblFpo8u9JMjJ3vO/ZlkfFm0kC8Gn/mpIdol7lv6y+RKQfIR04VOABc417n4RR9NUxS9pVxVEQ6tAXJ7cVVOb27OudATTce8fcxBBcIofWuTUIot8fW/JkTCeleeIiIi5vAogo0Jjud6vbiXJP5jjjBbnquNzJU3SNmZ6z0gE4b5yYHn4yFwOq9cavEhrad8XY5dEJNiV7BRXmlQS7GBgTi6pbfrtB5MwZ1O10bVXwonjWCdrGSdJ2TLLjTMAHvPS8Zt6g0HzXMIX1Q5uaomFkGJ+SdQpjIW7FlKqoI9iniljtQGRF9rlv8whwF12AyA9GdjwF7wPQlLiyJpp+0eiqKQVSc3zDiXtNln99qXR1Db+KRUh8BMFU9TntUHEeI8gB0aiKcAEMxfM5oMpVXrD0mKGaki7pccL+40mKvnCqSrlz0FZtZZ0EiPq8ZLD/XLc4xklwlOSoHB/pFfTCxixbhjKO5lTPq27KmuMyDtBss1krEwB9sRc6Tej3MAZl1HVw3IczHE8o72V4Cx9AEhlwzDtthLeOaEf9D2oys7G9ozdwtqWx8i8El69J1iS4iZko/l4+o2YiFzH0w19ZdfCVP6R9WH5ijHXvBTZMyxlfOCea2mqiiCnOH5TpPEQ+Q6MzD6afEl7GbUxvNEbqyP3wRkuPGJ0gc3hxk2T1Kz4/kzxS7xadzGK0nfpGIw9noNDQRybU5qyoQaSEaX+Vha+1tJtsaE1IHNZVIBKglSgdBaIuePkUZFLOadZoZbVrHRfbSXDcs6iSbk4rRaaDwlbR1U6lPAC3qfBp7D/Nuo/Rr/+95U+qvjH/0us3/qHfGs1gC1LVisbXqElmIyWPqqmstX9e17nvttfWWnvZffKQB5zrkT4ub9ZlWgHCsB3DAxsr4YYkkNwNgRF3cYyQjvyiqy3qnWMPQK3GvbL8uoOIJOiXEqYND9GP39Sfj8/kynhFLLlUg+c1imSTTPXOK0bpWSH9dIgoViAIxAApda5mv69K9VZfojrGwaVJlA9ckgD2HsOhX3FrERUP0CR+TidQtCjZGjsCviwDTqKDrEjO8n3IAz4ekRU4hVbuZr9ENnSjPrxqYI434Kv3oAcWaZ/jlSml9BuQKbiDkIGvJunQt0UuTfQqzH0kFAct97WvddwzomAAS6SIhnC58HcZFY4g4o7JEl0eCBynkztukAhjoZ8bR1Cs7qSKuAFSgcAPEjzmVpw4QkBbfkyMfrMWL/FTwPQcNqKGMSHBNhP7MeQSV/I860RhVZ84c643D/JesFZP9Q2PhuBZ3QK/hqbnQkU9ZBYPBy2PbyngGGXRqcmFdouqinhsenBlg205tq+APVPKmNhmYBSqeOmg7OGTPGBI6QFUEOoA24gQJq4BANI0eOOKrTkwRecEYD+0m5mNS6z3MS0qU1hYCDdy/VK+IvS6KEgtJtAC1KF5DB+7mm3Rh2rtfkOUIvszJAoji6gLLe9Zce5CS7kN0ObNQBhpK8iFdEajCV1GoVoFnSP4ofh+GU6/yhVMplLuow1TUNESTCepIAYt4daBJa3EWqo7+JulcokuvS9eSpVCNezDnGiCfHCq3hVBRk+1AzcRmUgM4Luiabh3zaSACXVH4LRowEjOG8iHgQS+e50bNmrXDFYmnweFjbWBfV8OaVUc9kOp8nx5D/UJdHbHJD9Al4QFdo4ZSgUgA+jE8ENIFMTdCQvrJOwv6hbtApyK9+UsqQbmPYwuntQwA145lEGk8A9hFuHBntpN2zPt1IH2i63gIWY3QOmCRy8AiT4sBhKMQLCziU81C/xrctx7E24tytq1k/dNzzTaXx+Rtprol+p/Po+HHNVFoW0U94zVISdo6KyqNunMEjKXLdM+REx9Yfb3vG7nfadbbq6pHlK16SEW11ua3GUrPY9quILeCoZTFYfm9gG6kQBPnYkmJROcO7Z8UBvSbNHzmZxbrCxQxFd2rH2kbjDCjjaXSiIWSlP+i9Lsc4OUBnZULZ/AIl+atvVVFTOPb4ab4cL3fbxFZutZFL/iU57B+Od763Nui8S27MfVB8E1T1tx+Jwg0JKbxoLh9I5Kwd4ROVoanKqQvy5ChGl+IGKAkscUchT1Wdo1ikQeg5+A+v9i0YKcH6Q/kaVFFK71QARwoztzuDJ359Ov9eulavkqISa0YU5kJj+4W7FQY/MJ8qKGHU3iOhHG4LTdHcjdB7jTGFYgYkxrbAWPKxywcjuemgPO5kg7bOFkOS9DIBCEeMgJvoLhKiH4RdiIlQkt/pjJ1UuoeMi1yPjbUA0CuvXfiqsPgK4f2y9i6HluRa8q1zXU4Rgm9d1GjeRIxM1WWqNm7pQVbfNzqEV21rpHN3NG/w8oUwVyySLLaIFj+BRL8xP3Yjj7GVD0HQBGiD+lrij6AI+9RqfLDFkQaS8ZawKEjlAVd7jmBwBzLzVbMiFncfXOl7U3pD2Y4D85BOCO0i49rLS9kYAmK7gIDdBqSTbpI/fp0huPRwNhPg55J7sM5Eyja+xE/0yYCwmqKg6xLc6bJWTaPttXDaIDacpcQ/a5lg7nR3bPxV2oJMXznZjHhwGXp0uXCfJKiLR20tz8VUV36IMjwsvKc6pr4ZqLqUSlSAI7aUM/7V0teqA9pMPaSuVf1p3XQy4FP6bcOUvoK0p6g8VUD9nxeyV7an9D0M1oRq9besWbqvs12jtTw0pLTlduciiAThR3SUF9YoW6Nsr4oJto3+D3kXv+qWnCoxJlsVgEFyMlQSX8hKmoM78YQTLXLGExLuKeeielZF/WHSmI/xcCZqmJ0h1yzBBD7SkpJv2q9WTUIexiMRjh/ORcq7/v9fr1+Y9Xa3nesBknsIKWMh3NuaBhF7BU7Gau7rqVw1ZXwMQ0wn/1QQ1lacpoGZXDCSjxOsidEfMnv6dQYezc4o0h+JN2bBIwuRunX9Kyn+Ye8EH/l4ED3BVKKXxrQX9VQGkmWEssD3Msuirq7u8Xq8Nfr9fr9jTnc+743v4YUJxXyGBN+mCptxH3f5mvB3Zev2m3wIEUHBJHP1e34XxqrDEU5YAaOpZchIXUAc9cYwKE/ydhUquTqpJ8pk9JB5TFdvo3lxDlgwEAEEVGPaQ0swMxinCBXe0GQw15n4p4jJu7mdt/v9ysW7fy+X6+975ieBTcqsn6mtC/Oq2QcoZGZGwAtvwbUY+ZpzZlMVCgT90MBXd5IpZaUCzgkB8oACMcCSI8U8ZXbkP5iQQZXUNjsBWdfhcRtVkarVQni5mZALssSjYpmTC3BWqLqRXgokDQ7SmaIK2NuLjq779f79fp9vWPNyPtOT5vB94M+XztXbwQ8OTIIlo+4zSFNUVGoZtnwTK9L4ofoU2qVoNMEZpQAXbNwLbcxVIFp0sUkNJbSJAXJTlopBwy6nabWYtSYTpK5DRdgUAGKpVFz5mgdK3YsUrNT0eBkGAbkwvz3+/f39/X6vd/3vt+2d4tmHIPF0AOozLitUVMR+h1m293MVU1U1Vft2jnAHQ/Rz/yA4BeaoNJym4aGYkKbDzXEEIkjRWyeKbRB1c0IlVYxJCeGhJxirT1K+j2hoYRec6pEBZqpVmNFz0No7CvbT8Kz9/2+A3hev7/v19v27WYwe5Jlyn+AveQy1U7NkTlObtJrGgQwnKOjUn0/LOeXDYEDD+mXozCZMOqq6AxNw0G0EoEjvlRTAIeaWxR0BDECKzkTKxkmiaEnn2Vm6zmqZcgvow9ZUw0tZdTwloBYID1BjOiaAcXdzWNn9t9YKfh63a/X3jv9tQHnDH39VgD/umOWxxJlj1m2IgBUI1XKKSjiGovhMiep5IOR4MtRwHpyo57d5XWbuDrr0c5JmFDAVej9iK6au6rvOQSZh6X0Y85/xNIsOobVe+UiQwGVb5SJdegZ3MrME3fS+F/3+733TsP/LJV8P+QyM+m9NqsIWCQmk2ozaFITRGfMVGDZdK/g+ndHSv+wgvHHPNUMS+qE13hJFTs4S8DNYbE3fYy7VuJaYSk5vvYyinyMOGmoj9jL6lmOTrOcUCvV3Gy/a4OK1+t+vy2k3z07HfwPx8MDPPMAfpIkMFkuAmThilCIulZWUHMLmTD3jlsMPMe2wA+9BNJ4mjy5dxmTUB/SE4VFs5iESOLNEZyiGGsKd4zQhhOUs8atOaPt0AfVQ6G79xdt2N73nZuDRK6b0i/wPTta/OMDHa6WLINBf26SzeId8fUIFjwC4urjU317lqLyZEne+879kfqXNaay/UHdmOmzeSJigEDFHbIdsg3bigOFDXCb1xxMT4pJ12C0SYkX6aEMkk1R7rkR1765O84r9ibKLFc4duRNLHF29vPIybmT24LxhyrLvDuSgCwPxHw3cfizOFl3KRY4qGavx/O+VnqKitegYFhizYwsfwqNiAAeVRSR9YNtJmbY20RqaYoItzVea8VYrogj9jpIOpsCah0cHTCKPoSedPN+79yL644FANF9yf5xYAN/jz+oBRrlMk7JzM+6F5jF3TViQpLqKX0aQbtg67ar+IUhvKKFXjoPIDTh3P9yyDJTd0BU1SG6bZnpNtlme9/m7pbbO8RI+vWjSwFxN/h213qaNAuK1TyZQOemTzsNPoReCjDbvq0tojr2nYH8pQJwfPhM9UoBHpRczUxYLvBkSoM69+Rl3u/pGZ8trIjrjDmEvaEVA8Ql4j7S9iEq4h4iXuaX+b237A01uMpael3r50evH43yDtw9yc+I+Ik/WVBisWIbd11Mu3/Hm0yyzEamhn/I2r8qAB3yyc3d3XuSYCpAQgYGFRhMVZlykXjSDVuqhxehGapzzpuMq6pGmPDjUxOeOYixLmEdFETUdV3rBxdwRdoImPtK6V+y1LPAFMWiAkISIZaUfGxms+9733fEW9u35frLTRb3PzT1PynAK/Q8wnSFVQbPnKQS2ZDBBW7iwgW5UN5FWqaU/hwaS12ckYPX9xgOn5ciMpdOyiJTjMkhCsEKmDLgJyQk4u7XWtdP2H7MbnJuRgbOEw9qBnSFyZLxcIlLr3T8kjD9MxRge0dqgiT0f4rZ1QCDa2ya5DHlyyRW+efeEqUByrx8/RkbPtApLgz5T8gSj+GyxKkYbFdwUSe/EmQ5ltmPQ1TNfela1yWqjtojqHEnbtZoy+yEKPDPMvG/Oa69t6oAyo25gAoqxSHZQoojkSA9FsH3wAp6yr8NvliuN0GAzFFNwYDlokzjLYyVkPwqKcA4fzFBVFWW63UtB1TMPPa1DNvP7cKYGNQHy0b+v0j7y3Hd9zuIsvvqfVMqdYrjbGwmZBYTdiGI5bGdQKWEZ+5eIwTOyHzODZmTW7x/HUPPDDRZReVkkwjcmRRnuotL1LKeaGb5FcGOUQz8Nzmu+75V1UzX8hVfeaOS1a7nMQAFXqVqBcxMdIypczGc50zxnmHn5VfTAxj05fGs48j83KkHxyg29JR0RMmchaVMLP53APyfcKQCVBfcEXspQjV3f3lyq4HjnGZmOaDvZqjJRZmNRhDrLTyLlcaNOrr/VQvluMSlyGkkgZXGpy4yPJN1HUD373hcu+qIUIcvD02ocB34WQMIoHG4uJl4Ll1X4/cVec4NTHmYR15eUEPb76yLMQKVqT1i+MGSGhxzjcfnGsT/rOP/AUS2SX/dFveaAAAAAElFTkSuQmCC","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["# Check some sample images (Use of cv2)\n","import cv2\n","from google.colab.patches import cv2_imshow\n","\n","# Your code\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," for i in range(3):\n"," img_loc = this_path + '/' + im_count[i]\n"," # print(img_loc)\n"," img = cv2.imread(img_loc)\n"," cv2_imshow(img)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1657887013729,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"jWBEMC1FUfXS","outputId":"1d0c224f-68e2-48fc-c0b4-149cf977545e"},"outputs":[{"name":"stdout","output_type":"stream","text":["(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n","(128, 128, 3)\n"]}],"source":["# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," for i in range(3):\n"," img_loc = this_path + '/' + im_count[i]\n"," # print(img_loc)\n"," img = plt.imread(img_loc)\n"," print(img.shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20366,"status":"ok","timestamp":1657887036646,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"52BhBWRab5yc","outputId":"09c31996-cd15-4032-862d-c0a61bd2a469"},"outputs":[{"name":"stdout","output_type":"stream","text":["[128]\n","[128]\n"]}],"source":["# Check if all the images have same shape, else you need to resize them to some common size\n","# The code provided as it is above in the template will help \n","import numpy as np\n","shapes_x = []\n","shapes_y = []\n","for label in output_classes:\n"," this_path=path+label\n"," dir=pathlib.Path(this_path)\n"," im_count=os.listdir(dir)\n"," for i in range(2994):\n"," img_loc = this_path + '/' + im_count[i]\n"," # print(img_loc)\n"," img = plt.imread(img_loc)\n"," shapes_x.append(img.shape[0])\n"," shapes_y.append(img.shape[1])\n","print(np.unique(np.array(shapes_x)))\n","print(np.unique(np.array(shapes_y)))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"G-Atau4Rfc-x"},"outputs":[],"source":["# If the shape is variable, reshape to a common size \n","# If it is same, prove it\n","\n","\n","# shapes_x = []\n","# shapes_y = []\n","# for label in output_classes:\n","# this_path=path+label\n","# dir=pathlib.Path(this_path)\n","# im_count=os.listdir(dir)\n","# for i in range(2994):\n","# img_loc = this_path + '/' + im_count[i]\n","# # print(img_loc)\n","# img = plt.imread(img_loc)\n","# shapes_x.append(img.shape[0])\n","# shapes_y.append(img.shape[1])\n","# print(np.unique(np.array(shapes_x)))\n","# print(np.unique(np.array(shapes_y)))\n","\n","\n","# Above code checks for unique values of image shape, and since only one unique value (128) is found\n","# Hence proved all images are of the same shape "]},{"cell_type":"code","execution_count":null,"metadata":{"id":"F0XHxMo2RVQd"},"outputs":[],"source":["# Anything else you want to plot/experiment"]},{"cell_type":"markdown","metadata":{"id":"zSoUXS1cRbnu"},"source":["### Model Definition\n","Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)"]},{"cell_type":"code","execution_count":6,"metadata":{"executionInfo":{"elapsed":4,"status":"ok","timestamp":1657912512016,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"QKZmIgXMTHfy"},"outputs":[],"source":["from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n","from tensorflow.keras.models import Model\n","from tensorflow.keras.preprocessing import image\n","from tensorflow.keras.models import Sequential"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5057,"status":"ok","timestamp":1657912517070,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"9xWLUibHRNGj","outputId":"5257a9f0-c2e9-46c4-f52c-6165e236a95c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_128_no_top.h5\n","9412608/9406464 [==============================] - 0s 0us/step\n","9420800/9406464 [==============================] - 0s 0us/step\n","Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n","58892288/58889256 [==============================] - 0s 0us/step\n","58900480/58889256 [==============================] - 0s 0us/step\n"]}],"source":["# Choose and define base model\n","IMG_SHAPE = (128,128)+(3,)\n","base_model = tf.keras.applications.MobileNetV2(input_shape=IMG_SHAPE, include_top=False, weights='imagenet')\n","base_model2 = tf.keras.applications.vgg16.VGG16(input_shape=IMG_SHAPE, include_top=False, weights='imagenet')"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2002,"status":"ok","timestamp":1657912519061,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"J3TwB_GLd7BU","outputId":"80ba7be0-e35b-4200-a1b2-c6968a1061a8"},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"mobilenetv2_1.00_128\"\n","__________________________________________________________________________________________________\n"," Layer (type) Output Shape Param # Connected to \n","==================================================================================================\n"," input_1 (InputLayer) [(None, 128, 128, 3 0 [] \n"," )] \n"," \n"," Conv1 (Conv2D) (None, 64, 64, 32) 864 ['input_1[0][0]'] \n"," \n"," bn_Conv1 (BatchNormalization) (None, 64, 64, 32) 128 ['Conv1[0][0]'] \n"," \n"," Conv1_relu (ReLU) (None, 64, 64, 32) 0 ['bn_Conv1[0][0]'] \n"," \n"," expanded_conv_depthwise (Depth (None, 64, 64, 32) 288 ['Conv1_relu[0][0]'] \n"," wiseConv2D) \n"," \n"," expanded_conv_depthwise_BN (Ba (None, 64, 64, 32) 128 ['expanded_conv_depthwise[0][0]']\n"," tchNormalization) \n"," \n"," expanded_conv_depthwise_relu ( (None, 64, 64, 32) 0 ['expanded_conv_depthwise_BN[0][0\n"," ReLU) ]'] \n"," \n"," expanded_conv_project (Conv2D) (None, 64, 64, 16) 512 ['expanded_conv_depthwise_relu[0]\n"," [0]'] \n"," \n"," expanded_conv_project_BN (Batc (None, 64, 64, 16) 64 ['expanded_conv_project[0][0]'] \n"," hNormalization) \n"," \n"," block_1_expand (Conv2D) (None, 64, 64, 96) 1536 ['expanded_conv_project_BN[0][0]'\n"," ] \n"," \n"," block_1_expand_BN (BatchNormal (None, 64, 64, 96) 384 ['block_1_expand[0][0]'] \n"," ization) \n"," \n"," block_1_expand_relu (ReLU) (None, 64, 64, 96) 0 ['block_1_expand_BN[0][0]'] \n"," \n"," block_1_pad (ZeroPadding2D) (None, 65, 65, 96) 0 ['block_1_expand_relu[0][0]'] \n"," \n"," block_1_depthwise (DepthwiseCo (None, 32, 32, 96) 864 ['block_1_pad[0][0]'] \n"," nv2D) \n"," \n"," block_1_depthwise_BN (BatchNor (None, 32, 32, 96) 384 ['block_1_depthwise[0][0]'] \n"," malization) \n"," \n"," block_1_depthwise_relu (ReLU) (None, 32, 32, 96) 0 ['block_1_depthwise_BN[0][0]'] \n"," \n"," block_1_project (Conv2D) (None, 32, 32, 24) 2304 ['block_1_depthwise_relu[0][0]'] \n"," \n"," block_1_project_BN (BatchNorma (None, 32, 32, 24) 96 ['block_1_project[0][0]'] \n"," lization) \n"," \n"," block_2_expand (Conv2D) (None, 32, 32, 144) 3456 ['block_1_project_BN[0][0]'] \n"," \n"," block_2_expand_BN (BatchNormal (None, 32, 32, 144) 576 ['block_2_expand[0][0]'] \n"," ization) \n"," \n"," block_2_expand_relu (ReLU) (None, 32, 32, 144) 0 ['block_2_expand_BN[0][0]'] \n"," \n"," block_2_depthwise (DepthwiseCo (None, 32, 32, 144) 1296 ['block_2_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_2_depthwise_BN (BatchNor (None, 32, 32, 144) 576 ['block_2_depthwise[0][0]'] \n"," malization) \n"," \n"," block_2_depthwise_relu (ReLU) (None, 32, 32, 144) 0 ['block_2_depthwise_BN[0][0]'] \n"," \n"," block_2_project (Conv2D) (None, 32, 32, 24) 3456 ['block_2_depthwise_relu[0][0]'] \n"," \n"," block_2_project_BN (BatchNorma (None, 32, 32, 24) 96 ['block_2_project[0][0]'] \n"," lization) \n"," \n"," block_2_add (Add) (None, 32, 32, 24) 0 ['block_1_project_BN[0][0]', \n"," 'block_2_project_BN[0][0]'] \n"," \n"," block_3_expand (Conv2D) (None, 32, 32, 144) 3456 ['block_2_add[0][0]'] \n"," \n"," block_3_expand_BN (BatchNormal (None, 32, 32, 144) 576 ['block_3_expand[0][0]'] \n"," ization) \n"," \n"," block_3_expand_relu (ReLU) (None, 32, 32, 144) 0 ['block_3_expand_BN[0][0]'] \n"," \n"," block_3_pad (ZeroPadding2D) (None, 33, 33, 144) 0 ['block_3_expand_relu[0][0]'] \n"," \n"," block_3_depthwise (DepthwiseCo (None, 16, 16, 144) 1296 ['block_3_pad[0][0]'] \n"," nv2D) \n"," \n"," block_3_depthwise_BN (BatchNor (None, 16, 16, 144) 576 ['block_3_depthwise[0][0]'] \n"," malization) \n"," \n"," block_3_depthwise_relu (ReLU) (None, 16, 16, 144) 0 ['block_3_depthwise_BN[0][0]'] \n"," \n"," block_3_project (Conv2D) (None, 16, 16, 32) 4608 ['block_3_depthwise_relu[0][0]'] \n"," \n"," block_3_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_3_project[0][0]'] \n"," lization) \n"," \n"," block_4_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_3_project_BN[0][0]'] \n"," \n"," block_4_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_4_expand[0][0]'] \n"," ization) \n"," \n"," block_4_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_4_expand_BN[0][0]'] \n"," \n"," block_4_depthwise (DepthwiseCo (None, 16, 16, 192) 1728 ['block_4_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_4_depthwise_BN (BatchNor (None, 16, 16, 192) 768 ['block_4_depthwise[0][0]'] \n"," malization) \n"," \n"," block_4_depthwise_relu (ReLU) (None, 16, 16, 192) 0 ['block_4_depthwise_BN[0][0]'] \n"," \n"," block_4_project (Conv2D) (None, 16, 16, 32) 6144 ['block_4_depthwise_relu[0][0]'] \n"," \n"," block_4_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_4_project[0][0]'] \n"," lization) \n"," \n"," block_4_add (Add) (None, 16, 16, 32) 0 ['block_3_project_BN[0][0]', \n"," 'block_4_project_BN[0][0]'] \n"," \n"," block_5_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_4_add[0][0]'] \n"," \n"," block_5_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_5_expand[0][0]'] \n"," ization) \n"," \n"," block_5_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_5_expand_BN[0][0]'] \n"," \n"," block_5_depthwise (DepthwiseCo (None, 16, 16, 192) 1728 ['block_5_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_5_depthwise_BN (BatchNor (None, 16, 16, 192) 768 ['block_5_depthwise[0][0]'] \n"," malization) \n"," \n"," block_5_depthwise_relu (ReLU) (None, 16, 16, 192) 0 ['block_5_depthwise_BN[0][0]'] \n"," \n"," block_5_project (Conv2D) (None, 16, 16, 32) 6144 ['block_5_depthwise_relu[0][0]'] \n"," \n"," block_5_project_BN (BatchNorma (None, 16, 16, 32) 128 ['block_5_project[0][0]'] \n"," lization) \n"," \n"," block_5_add (Add) (None, 16, 16, 32) 0 ['block_4_add[0][0]', \n"," 'block_5_project_BN[0][0]'] \n"," \n"," block_6_expand (Conv2D) (None, 16, 16, 192) 6144 ['block_5_add[0][0]'] \n"," \n"," block_6_expand_BN (BatchNormal (None, 16, 16, 192) 768 ['block_6_expand[0][0]'] \n"," ization) \n"," \n"," block_6_expand_relu (ReLU) (None, 16, 16, 192) 0 ['block_6_expand_BN[0][0]'] \n"," \n"," block_6_pad (ZeroPadding2D) (None, 17, 17, 192) 0 ['block_6_expand_relu[0][0]'] \n"," \n"," block_6_depthwise (DepthwiseCo (None, 8, 8, 192) 1728 ['block_6_pad[0][0]'] \n"," nv2D) \n"," \n"," block_6_depthwise_BN (BatchNor (None, 8, 8, 192) 768 ['block_6_depthwise[0][0]'] \n"," malization) \n"," \n"," block_6_depthwise_relu (ReLU) (None, 8, 8, 192) 0 ['block_6_depthwise_BN[0][0]'] \n"," \n"," block_6_project (Conv2D) (None, 8, 8, 64) 12288 ['block_6_depthwise_relu[0][0]'] \n"," \n"," block_6_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_6_project[0][0]'] \n"," lization) \n"," \n"," block_7_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_6_project_BN[0][0]'] \n"," \n"," block_7_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_7_expand[0][0]'] \n"," ization) \n"," \n"," block_7_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_7_expand_BN[0][0]'] \n"," \n"," block_7_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_7_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_7_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_7_depthwise[0][0]'] \n"," malization) \n"," \n"," block_7_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_7_depthwise_BN[0][0]'] \n"," \n"," block_7_project (Conv2D) (None, 8, 8, 64) 24576 ['block_7_depthwise_relu[0][0]'] \n"," \n"," block_7_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_7_project[0][0]'] \n"," lization) \n"," \n"," block_7_add (Add) (None, 8, 8, 64) 0 ['block_6_project_BN[0][0]', \n"," 'block_7_project_BN[0][0]'] \n"," \n"," block_8_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_7_add[0][0]'] \n"," \n"," block_8_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_8_expand[0][0]'] \n"," ization) \n"," \n"," block_8_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_8_expand_BN[0][0]'] \n"," \n"," block_8_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_8_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_8_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_8_depthwise[0][0]'] \n"," malization) \n"," \n"," block_8_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_8_depthwise_BN[0][0]'] \n"," \n"," block_8_project (Conv2D) (None, 8, 8, 64) 24576 ['block_8_depthwise_relu[0][0]'] \n"," \n"," block_8_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_8_project[0][0]'] \n"," lization) \n"," \n"," block_8_add (Add) (None, 8, 8, 64) 0 ['block_7_add[0][0]', \n"," 'block_8_project_BN[0][0]'] \n"," \n"," block_9_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_8_add[0][0]'] \n"," \n"," block_9_expand_BN (BatchNormal (None, 8, 8, 384) 1536 ['block_9_expand[0][0]'] \n"," ization) \n"," \n"," block_9_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_9_expand_BN[0][0]'] \n"," \n"," block_9_depthwise (DepthwiseCo (None, 8, 8, 384) 3456 ['block_9_expand_relu[0][0]'] \n"," nv2D) \n"," \n"," block_9_depthwise_BN (BatchNor (None, 8, 8, 384) 1536 ['block_9_depthwise[0][0]'] \n"," malization) \n"," \n"," block_9_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_9_depthwise_BN[0][0]'] \n"," \n"," block_9_project (Conv2D) (None, 8, 8, 64) 24576 ['block_9_depthwise_relu[0][0]'] \n"," \n"," block_9_project_BN (BatchNorma (None, 8, 8, 64) 256 ['block_9_project[0][0]'] \n"," lization) \n"," \n"," block_9_add (Add) (None, 8, 8, 64) 0 ['block_8_add[0][0]', \n"," 'block_9_project_BN[0][0]'] \n"," \n"," block_10_expand (Conv2D) (None, 8, 8, 384) 24576 ['block_9_add[0][0]'] \n"," \n"," block_10_expand_BN (BatchNorma (None, 8, 8, 384) 1536 ['block_10_expand[0][0]'] \n"," lization) \n"," \n"," block_10_expand_relu (ReLU) (None, 8, 8, 384) 0 ['block_10_expand_BN[0][0]'] \n"," \n"," block_10_depthwise (DepthwiseC (None, 8, 8, 384) 3456 ['block_10_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_10_depthwise_BN (BatchNo (None, 8, 8, 384) 1536 ['block_10_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_10_depthwise_relu (ReLU) (None, 8, 8, 384) 0 ['block_10_depthwise_BN[0][0]'] \n"," \n"," block_10_project (Conv2D) (None, 8, 8, 96) 36864 ['block_10_depthwise_relu[0][0]']\n"," \n"," block_10_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_10_project[0][0]'] \n"," alization) \n"," \n"," block_11_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_10_project_BN[0][0]'] \n"," \n"," block_11_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_11_expand[0][0]'] \n"," lization) \n"," \n"," block_11_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_11_expand_BN[0][0]'] \n"," \n"," block_11_depthwise (DepthwiseC (None, 8, 8, 576) 5184 ['block_11_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_11_depthwise_BN (BatchNo (None, 8, 8, 576) 2304 ['block_11_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_11_depthwise_relu (ReLU) (None, 8, 8, 576) 0 ['block_11_depthwise_BN[0][0]'] \n"," \n"," block_11_project (Conv2D) (None, 8, 8, 96) 55296 ['block_11_depthwise_relu[0][0]']\n"," \n"," block_11_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_11_project[0][0]'] \n"," alization) \n"," \n"," block_11_add (Add) (None, 8, 8, 96) 0 ['block_10_project_BN[0][0]', \n"," 'block_11_project_BN[0][0]'] \n"," \n"," block_12_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_11_add[0][0]'] \n"," \n"," block_12_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_12_expand[0][0]'] \n"," lization) \n"," \n"," block_12_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_12_expand_BN[0][0]'] \n"," \n"," block_12_depthwise (DepthwiseC (None, 8, 8, 576) 5184 ['block_12_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_12_depthwise_BN (BatchNo (None, 8, 8, 576) 2304 ['block_12_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_12_depthwise_relu (ReLU) (None, 8, 8, 576) 0 ['block_12_depthwise_BN[0][0]'] \n"," \n"," block_12_project (Conv2D) (None, 8, 8, 96) 55296 ['block_12_depthwise_relu[0][0]']\n"," \n"," block_12_project_BN (BatchNorm (None, 8, 8, 96) 384 ['block_12_project[0][0]'] \n"," alization) \n"," \n"," block_12_add (Add) (None, 8, 8, 96) 0 ['block_11_add[0][0]', \n"," 'block_12_project_BN[0][0]'] \n"," \n"," block_13_expand (Conv2D) (None, 8, 8, 576) 55296 ['block_12_add[0][0]'] \n"," \n"," block_13_expand_BN (BatchNorma (None, 8, 8, 576) 2304 ['block_13_expand[0][0]'] \n"," lization) \n"," \n"," block_13_expand_relu (ReLU) (None, 8, 8, 576) 0 ['block_13_expand_BN[0][0]'] \n"," \n"," block_13_pad (ZeroPadding2D) (None, 9, 9, 576) 0 ['block_13_expand_relu[0][0]'] \n"," \n"," block_13_depthwise (DepthwiseC (None, 4, 4, 576) 5184 ['block_13_pad[0][0]'] \n"," onv2D) \n"," \n"," block_13_depthwise_BN (BatchNo (None, 4, 4, 576) 2304 ['block_13_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_13_depthwise_relu (ReLU) (None, 4, 4, 576) 0 ['block_13_depthwise_BN[0][0]'] \n"," \n"," block_13_project (Conv2D) (None, 4, 4, 160) 92160 ['block_13_depthwise_relu[0][0]']\n"," \n"," block_13_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_13_project[0][0]'] \n"," alization) \n"," \n"," block_14_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_13_project_BN[0][0]'] \n"," \n"," block_14_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_14_expand[0][0]'] \n"," lization) \n"," \n"," block_14_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_14_expand_BN[0][0]'] \n"," \n"," block_14_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_14_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_14_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_14_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_14_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_14_depthwise_BN[0][0]'] \n"," \n"," block_14_project (Conv2D) (None, 4, 4, 160) 153600 ['block_14_depthwise_relu[0][0]']\n"," \n"," block_14_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_14_project[0][0]'] \n"," alization) \n"," \n"," block_14_add (Add) (None, 4, 4, 160) 0 ['block_13_project_BN[0][0]', \n"," 'block_14_project_BN[0][0]'] \n"," \n"," block_15_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_14_add[0][0]'] \n"," \n"," block_15_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_15_expand[0][0]'] \n"," lization) \n"," \n"," block_15_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_15_expand_BN[0][0]'] \n"," \n"," block_15_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_15_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_15_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_15_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_15_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_15_depthwise_BN[0][0]'] \n"," \n"," block_15_project (Conv2D) (None, 4, 4, 160) 153600 ['block_15_depthwise_relu[0][0]']\n"," \n"," block_15_project_BN (BatchNorm (None, 4, 4, 160) 640 ['block_15_project[0][0]'] \n"," alization) \n"," \n"," block_15_add (Add) (None, 4, 4, 160) 0 ['block_14_add[0][0]', \n"," 'block_15_project_BN[0][0]'] \n"," \n"," block_16_expand (Conv2D) (None, 4, 4, 960) 153600 ['block_15_add[0][0]'] \n"," \n"," block_16_expand_BN (BatchNorma (None, 4, 4, 960) 3840 ['block_16_expand[0][0]'] \n"," lization) \n"," \n"," block_16_expand_relu (ReLU) (None, 4, 4, 960) 0 ['block_16_expand_BN[0][0]'] \n"," \n"," block_16_depthwise (DepthwiseC (None, 4, 4, 960) 8640 ['block_16_expand_relu[0][0]'] \n"," onv2D) \n"," \n"," block_16_depthwise_BN (BatchNo (None, 4, 4, 960) 3840 ['block_16_depthwise[0][0]'] \n"," rmalization) \n"," \n"," block_16_depthwise_relu (ReLU) (None, 4, 4, 960) 0 ['block_16_depthwise_BN[0][0]'] \n"," \n"," block_16_project (Conv2D) (None, 4, 4, 320) 307200 ['block_16_depthwise_relu[0][0]']\n"," \n"," block_16_project_BN (BatchNorm (None, 4, 4, 320) 1280 ['block_16_project[0][0]'] \n"," alization) \n"," \n"," Conv_1 (Conv2D) (None, 4, 4, 1280) 409600 ['block_16_project_BN[0][0]'] \n"," \n"," Conv_1_bn (BatchNormalization) (None, 4, 4, 1280) 5120 ['Conv_1[0][0]'] \n"," \n"," out_relu (ReLU) (None, 4, 4, 1280) 0 ['Conv_1_bn[0][0]'] \n"," \n","==================================================================================================\n","Total params: 2,257,984\n","Trainable params: 2,223,872\n","Non-trainable params: 34,112\n","__________________________________________________________________________________________________\n","Model: \"vgg16\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," input_2 (InputLayer) [(None, 128, 128, 3)] 0 \n"," \n"," block1_conv1 (Conv2D) (None, 128, 128, 64) 1792 \n"," \n"," block1_conv2 (Conv2D) (None, 128, 128, 64) 36928 \n"," \n"," block1_pool (MaxPooling2D) (None, 64, 64, 64) 0 \n"," \n"," block2_conv1 (Conv2D) (None, 64, 64, 128) 73856 \n"," \n"," block2_conv2 (Conv2D) (None, 64, 64, 128) 147584 \n"," \n"," block2_pool (MaxPooling2D) (None, 32, 32, 128) 0 \n"," \n"," block3_conv1 (Conv2D) (None, 32, 32, 256) 295168 \n"," \n"," block3_conv2 (Conv2D) (None, 32, 32, 256) 590080 \n"," \n"," block3_conv3 (Conv2D) (None, 32, 32, 256) 590080 \n"," \n"," block3_pool (MaxPooling2D) (None, 16, 16, 256) 0 \n"," \n"," block4_conv1 (Conv2D) (None, 16, 16, 512) 1180160 \n"," \n"," block4_conv2 (Conv2D) (None, 16, 16, 512) 2359808 \n"," \n"," block4_conv3 (Conv2D) (None, 16, 16, 512) 2359808 \n"," \n"," block4_pool (MaxPooling2D) (None, 8, 8, 512) 0 \n"," \n"," block5_conv1 (Conv2D) (None, 8, 8, 512) 2359808 \n"," \n"," block5_conv2 (Conv2D) (None, 8, 8, 512) 2359808 \n"," \n"," block5_conv3 (Conv2D) (None, 8, 8, 512) 2359808 \n"," \n"," block5_pool (MaxPooling2D) (None, 4, 4, 512) 0 \n"," \n","=================================================================\n","Total params: 14,714,688\n","Trainable params: 14,714,688\n","Non-trainable params: 0\n","_________________________________________________________________\n"]}],"source":["# Print base model summary and have a look at the layers\n","base_model.summary()\n","base_model2.summary()"]},{"cell_type":"code","execution_count":9,"metadata":{"executionInfo":{"elapsed":8,"status":"ok","timestamp":1657912519062,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"F_Heq3C1eKd-"},"outputs":[],"source":["# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)\n","base_model.trainable = False\n","base_model2.trainable = False"]},{"cell_type":"code","execution_count":10,"metadata":{"executionInfo":{"elapsed":659,"status":"ok","timestamp":1657912519713,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"MKx1EtUJea6D"},"outputs":[],"source":["# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n","model = tf.keras.models.Sequential([\n"," base_model,\n"," tf.keras.layers.GlobalAveragePooling2D(),\n"," tf.keras.layers.Dense(64, activation='relu'),\n"," tf.keras.layers.Dropout(0.2),\n"," tf.keras.layers.Dense(1)])\n","model2 = tf.keras.models.Sequential([\n"," base_model2,\n"," tf.keras.layers.GlobalAveragePooling2D(),\n"," tf.keras.layers.Dense(64, activation='relu'),\n"," tf.keras.layers.Dropout(0.2),\n"," tf.keras.layers.Dense(1)])\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"q6I3oTTNgP8L"},"outputs":[],"source":["# Add the final output layer"]},{"cell_type":"code","execution_count":11,"metadata":{"executionInfo":{"elapsed":13,"status":"ok","timestamp":1657912519713,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"qdC71fUBgXAg"},"outputs":[],"source":["# Compile you model (set the parameters like loss/optimizers/metrics)\n","base_learning_rate = 0.0001\n","model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=base_learning_rate),\n"," loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n"," metrics=['accuracy'])\n","model2.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=base_learning_rate),\n"," loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n"," metrics=['accuracy'])"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1657912519714,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"6aVQocJwgN5r","outputId":"a2161323-1741-44f3-9504-d1ae4116aae6"},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," mobilenetv2_1.00_128 (Funct (None, 4, 4, 1280) 2257984 \n"," ional) \n"," \n"," global_average_pooling2d (G (None, 1280) 0 \n"," lobalAveragePooling2D) \n"," \n"," dense (Dense) (None, 64) 81984 \n"," \n"," dropout (Dropout) (None, 64) 0 \n"," \n"," dense_1 (Dense) (None, 1) 65 \n"," \n","=================================================================\n","Total params: 2,340,033\n","Trainable params: 82,049\n","Non-trainable params: 2,257,984\n","_________________________________________________________________\n","Model: \"sequential_1\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," vgg16 (Functional) (None, 4, 4, 512) 14714688 \n"," \n"," global_average_pooling2d_1 (None, 512) 0 \n"," (GlobalAveragePooling2D) \n"," \n"," dense_2 (Dense) (None, 64) 32832 \n"," \n"," dropout_1 (Dropout) (None, 64) 0 \n"," \n"," dense_3 (Dense) (None, 1) 65 \n"," \n","=================================================================\n","Total params: 14,747,585\n","Trainable params: 32,897\n","Non-trainable params: 14,714,688\n","_________________________________________________________________\n"]}],"source":["# Print your model's summary\n","model.summary()\n","model2.summary()"]},{"cell_type":"markdown","metadata":{"id":"RdUSMLggifex"},"source":["### Data Augmentation and Pre-processing\n","Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n","You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)"]},{"cell_type":"code","execution_count":13,"metadata":{"executionInfo":{"elapsed":6,"status":"ok","timestamp":1657912519714,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"DBscSsvkgn39"},"outputs":[],"source":["from keras.applications.vgg16 import preprocess_input # Change according to your base model\n","from keras.applications.mobilenet_v2 import preprocess_input # Change according to your base model\n","# from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","\n","\n","# Your code "]},{"cell_type":"code","execution_count":14,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1657912519714,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"5_GvYKb3OYgs"},"outputs":[],"source":["data_augmentation = tf.keras.Sequential([\n"," tf.keras.layers.RandomFlip('horizontal_and_vertical'),\n"," tf.keras.layers.RandomRotation(0.2),\n","])"]},{"cell_type":"code","execution_count":15,"metadata":{"executionInfo":{"elapsed":2,"status":"ok","timestamp":1657912520966,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"O7NrhUfXOcTm"},"outputs":[],"source":["preprocess_input = tf.keras.applications.mobilenet_v2.preprocess_input\n","preprocess_input2 = tf.keras.applications.vgg16.preprocess_input"]},{"cell_type":"code","execution_count":16,"metadata":{"executionInfo":{"elapsed":1,"status":"ok","timestamp":1657912521341,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"lQrxUKVnOgjY"},"outputs":[],"source":["rescale = tf.keras.layers.Rescaling(1./127.5, offset=-1)"]},{"cell_type":"code","execution_count":17,"metadata":{"executionInfo":{"elapsed":2,"status":"ok","timestamp":1657912521898,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"rhyHEFXDkZr4"},"outputs":[],"source":["# Anything else you wish to try"]},{"cell_type":"markdown","metadata":{"id":"IcKPxCpOkcuG"},"source":["### Training and Validation Dataset \n","Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n","\n","Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you."]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":559,"status":"ok","timestamp":1657912526602,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"sB7hb3ybkJRq","outputId":"78a5a8ed-10e1-49ea-feab-1f89703f2ac5"},"outputs":[{"name":"stdout","output_type":"stream","text":["Found 8982 files belonging to 3 classes.\n"]}],"source":["# Your code\n","BATCH_SIZE = 32\n","IMG_SIZE = (128, 128)\n","\n","dataset = tf.keras.utils.image_dataset_from_directory(path,\n"," shuffle=True,\n"," batch_size=BATCH_SIZE,\n"," image_size=IMG_SIZE)"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1657912526990,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"3YDyiY9GSvU4","outputId":"be7e14ef-5dd8-48b7-a335-d347be93fa11"},"outputs":[{"name":"stdout","output_type":"stream","text":["225\n","56\n"]}],"source":["val_batches = tf.data.experimental.cardinality(dataset)\n","validation_dataset = dataset.take(val_batches // 5)\n","train_dataset = dataset.skip(val_batches // 5)\n","# print(dataset)\n","print('%d' % tf.data.experimental.cardinality(train_dataset))\n","print('%d' % tf.data.experimental.cardinality(validation_dataset))"]},{"cell_type":"code","execution_count":20,"metadata":{"executionInfo":{"elapsed":666,"status":"ok","timestamp":1657912529166,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"cOLlHHWlS1IH"},"outputs":[],"source":["AUTOTUNE = tf.data.AUTOTUNE\n","\n","train_dataset = train_dataset.prefetch(buffer_size=AUTOTUNE)\n","validation_dataset = validation_dataset.prefetch(buffer_size=AUTOTUNE)"]},{"cell_type":"markdown","metadata":{"id":"ZZPsjpT1mp3z"},"source":["### Training \n","Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":162897,"status":"ok","timestamp":1657912696055,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"6OkmrYX5S4Ho","outputId":"678b5eb2-28fb-47d8-ee77-9c82282c93e0"},"outputs":[{"name":"stdout","output_type":"stream","text":["(32, 4, 4, 1280)\n"]}],"source":["image_batch, label_batch = next(iter(train_dataset))\n","feature_batch = base_model(image_batch)\n","print(feature_batch.shape)"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1657912696055,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"BFzarc1lqKHh","outputId":"7e04da6f-afd8-47aa-dd80-b51cc274f78f"},"outputs":[{"name":"stdout","output_type":"stream","text":["(32, 1280)\n"]}],"source":["global_average_layer = tf.keras.layers.GlobalAveragePooling2D()\n","feature_batch_average = global_average_layer(feature_batch)\n","print(feature_batch_average.shape)"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1657912696056,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"E6F0FtQmqLbS","outputId":"7661007f-db0c-4a55-e3e1-11d5998bbad5"},"outputs":[{"name":"stdout","output_type":"stream","text":["(32, 1)\n"]}],"source":["prediction_layer = tf.keras.layers.Dense(1)\n","prediction_batch = prediction_layer(feature_batch_average)\n","print(prediction_batch.shape)"]},{"cell_type":"code","execution_count":24,"metadata":{"executionInfo":{"elapsed":668,"status":"ok","timestamp":1657912696716,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"fOAKW9-eiY7i"},"outputs":[],"source":["inputs = tf.keras.Input(shape=(128, 128, 3))\n","x = preprocess_input(inputs)\n","x = data_augmentation(x)\n","x = base_model(x, training=False)\n","x = global_average_layer(x)\n","x = tf.keras.layers.Dropout(0.2)(x)\n","outputs = prediction_layer(x)\n","model3 = tf.keras.Model(inputs, outputs)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"oCslrJ1n_smJ"},"outputs":[],"source":["model4 = tf.keras.models.Sequential([inputs,\n"," rescale,\n"," data_augmentation,\n"," base_model,\n"," tf.keras.layers.GlobalAveragePooling2D(),\n"," tf.keras.layers.Dense(64, activation='relu'),\n"," tf.keras.layers.Dropout(0.2),\n"," tf.keras.layers.Dense(1)])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":11,"status":"ok","timestamp":1657891304046,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"-xqibg6P5K50","outputId":"40623ecd-ec08-468f-de15-acb73f7e5b17"},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"sequential_8\"\n","_________________________________________________________________\n"," Layer (type) Output Shape Param # \n","=================================================================\n"," rescaling (Rescaling) (None, 128, 128, 3) 0 \n"," \n"," sequential (Sequential) (None, 128, 128, 3) 0 \n"," \n"," mobilenetv2_1.00_128 (Funct (None, 4, 4, 1280) 2257984 \n"," ional) \n"," \n"," global_average_pooling2d_10 (None, 1280) 0 \n"," (GlobalAveragePooling2D) \n"," \n"," dense_17 (Dense) (None, 64) 81984 \n"," \n"," dropout_16 (Dropout) (None, 64) 0 \n"," \n"," dense_18 (Dense) (None, 1) 65 \n"," \n","=================================================================\n","Total params: 2,340,033\n","Trainable params: 82,049\n","Non-trainable params: 2,257,984\n","_________________________________________________________________\n"]}],"source":["model4.summary()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"oij0ScjHA764"},"outputs":[],"source":["model4.compile(optimizer='adam',\n"," loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n"," metrics=['accuracy'])"]},{"cell_type":"code","execution_count":25,"metadata":{"executionInfo":{"elapsed":12,"status":"ok","timestamp":1657912696717,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"jRXLd9jpqTob"},"outputs":[],"source":["base_learning_rate = 0.000001\n","model3.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=base_learning_rate),\n"," loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n"," metrics=['accuracy'])"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6740,"status":"ok","timestamp":1657912710512,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"FVRA2ZDRXBmK","outputId":"04cc8d13-284d-4a2c-fb2d-ef23f38c3626"},"outputs":[{"name":"stdout","output_type":"stream","text":["56/56 [==============================] - 6s 60ms/step - loss: 0.5174 - accuracy: 0.3410\n"]}],"source":["initial_epochs = 10\n","\n","# loss0, accuracy0 = model.evaluate(validation_dataset)\n","# loss0, accuracy0 = model2.evaluate(validation_dataset)\n","# loss0, accuracy0 = model4.evaluate(validation_dataset)\n","loss0, accuracy0 = model3.evaluate(validation_dataset)"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":627342,"status":"ok","timestamp":1657913342237,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"Gs2X14MBmu7W","outputId":"f5a34a05-81d6-4bb0-c371-46e466961b5c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/10\n","225/225 [==============================] - 400s 2s/step - loss: 0.7433 - accuracy: 0.2790 - val_loss: 0.4865 - val_accuracy: 0.3298\n","Epoch 2/10\n","225/225 [==============================] - 19s 74ms/step - loss: 0.7147 - accuracy: 0.2798 - val_loss: 0.4553 - val_accuracy: 0.3292\n","Epoch 3/10\n","225/225 [==============================] - 19s 74ms/step - loss: 0.6773 - accuracy: 0.2734 - val_loss: 0.4193 - val_accuracy: 0.3365\n","Epoch 4/10\n","225/225 [==============================] - 21s 80ms/step - loss: 0.6320 - accuracy: 0.2773 - val_loss: 0.3907 - val_accuracy: 0.3443\n","Epoch 5/10\n","225/225 [==============================] - 20s 75ms/step - loss: 0.6055 - accuracy: 0.2807 - val_loss: 0.3658 - val_accuracy: 0.3398\n","Epoch 6/10\n","225/225 [==============================] - 19s 74ms/step - loss: 0.5643 - accuracy: 0.2847 - val_loss: 0.3407 - val_accuracy: 0.3438\n","Epoch 7/10\n","225/225 [==============================] - 19s 73ms/step - loss: 0.5298 - accuracy: 0.2815 - val_loss: 0.3143 - val_accuracy: 0.3393\n","Epoch 8/10\n","225/225 [==============================] - 20s 75ms/step - loss: 0.4985 - accuracy: 0.2865 - val_loss: 0.2780 - val_accuracy: 0.3404\n","Epoch 9/10\n","225/225 [==============================] - 20s 78ms/step - loss: 0.4947 - accuracy: 0.2851 - val_loss: 0.2527 - val_accuracy: 0.3460\n","Epoch 10/10\n","225/225 [==============================] - 19s 73ms/step - loss: 0.4468 - accuracy: 0.2858 - val_loss: 0.2419 - val_accuracy: 0.3359\n"]}],"source":["from keras.callbacks import ModelCheckpoint\n","# ModelCheckpoint is helpful to save the model giving best results (brownie points)\n","history = model3.fit(train_dataset,\n"," epochs=initial_epochs,\n"," validation_data=validation_dataset)\n"]},{"cell_type":"markdown","metadata":{"id":"FTvRa1FXri4R"},"source":["### Evaluate the performance"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":243},"executionInfo":{"elapsed":378,"status":"error","timestamp":1657913380526,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"cTH6flzcrck0","outputId":"01593506-4c24-45f0-85a3-aa70ff8a6b23"},"outputs":[{"ename":"NameError","evalue":"name 'history' is not defined","output_type":"error","traceback":["\u001b[1;31m---------------------------------------------------------------------------\u001b[0m","\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[1;32mc:\\Users\\prakh\\Desktop\\SnTSummerProjects\\Computer Vision using TensorFlow\\ICG-Computer-Vision-using-Tensorflow\\Final Task\\A4_200698.ipynb Cell 46\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[39m# Plot training & validation loss/accuracy values\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m acc \u001b[39m=\u001b[39m history\u001b[39m.\u001b[39mhistory[\u001b[39m'\u001b[39m\u001b[39maccuracy\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m 3\u001b[0m val_acc \u001b[39m=\u001b[39m history\u001b[39m.\u001b[39mhistory[\u001b[39m'\u001b[39m\u001b[39mval_accuracy\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m 5\u001b[0m loss \u001b[39m=\u001b[39m history\u001b[39m.\u001b[39mhistory[\u001b[39m'\u001b[39m\u001b[39mloss\u001b[39m\u001b[39m'\u001b[39m]\n","\u001b[1;31mNameError\u001b[0m: name 'history' is not defined"]}],"source":["# Plot training & validation loss/accuracy values\n","acc = history.history['accuracy']\n","val_acc = history.history['val_accuracy']\n","\n","loss = history.history['loss']\n","val_loss = history.history['val_loss']\n","\n","plt.figure(figsize=(8, 8))\n","plt.subplot(2, 1, 1)\n","plt.plot(acc, label='Training Accuracy')\n","plt.plot(val_acc, label='Validation Accuracy')\n","plt.legend(loc='lower right')\n","plt.ylabel('Accuracy')\n","plt.ylim([min(plt.ylim()),1])\n","plt.title('Training and Validation Accuracy')\n","\n","plt.subplot(2, 1, 2)\n","plt.plot(loss, label='Training Loss')\n","plt.plot(val_loss, label='Validation Loss')\n","plt.legend(loc='upper right')\n","plt.ylabel('Cross Entropy')\n","plt.ylim([-10.0,1.0])\n","plt.title('Training and Validation Loss')\n","plt.xlabel('epoch')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"executionInfo":{"elapsed":9,"status":"aborted","timestamp":1657913342237,"user":{"displayName":"Prakhar Pratap Mall","userId":"07836387760959202578"},"user_tz":-330},"id":"fJ-ZtU84r66Z"},"outputs":[],"source":["from sklearn.metrics import classification_report, confusion_matrix\n","import numpy as np\n","\n","# print classification report\n","validation_classes = []\n","validation_images = []\n","for i in range( -(-validation_label_generator.samples // validation_label_generator.batch_size)):\n"," batch = validation_label_generator.next()\n"," expected = np.argmax(batch[1], axis=1) \n"," validation_classes.extend(expected)\n"," validation_images.extend(batch[0])\n","validation_classes = np.array(validation_classes)\n","validation_images = np.array(validation_images)\n","Y_pred = model.predict(validation_images)\n","y_pred = np.argmax(Y_pred, axis=1)\n","\n","\n","print(classification_report(validation_classes, y_pred, \n","\t\ttarget_names = ['mask_weared_incorrect', 'with_mask', 'without_mask']))\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"VytDxkswrvXw"},"outputs":[],"source":["# Use the classification report to print precision, recall, f1-score for the three classes(optional, brownie points)"]}],"metadata":{"accelerator":"GPU","colab":{"collapsed_sections":[],"name":"A4_200698.ipynb","provenance":[{"file_id":"1-StHlJj6XIfC0fptgdCWJ_OT_11cDP2G","timestamp":1657431012033},{"file_id":"161I3lETOZM4v3Mqmr7L7NY7gb6XbSyNJ","timestamp":1656064995558}]},"gpuClass":"standard","kernelspec":{"display_name":"Python 3.9.13 64-bit (windows store)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.13"},"vscode":{"interpreter":{"hash":"c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77"}}},"nbformat":4,"nbformat_minor":0} +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "rtI19Rt-H7Uc" + }, + "source": [ + "## Final Task:\n", + "This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "id": "c2CiXcHQTbX8" + }, + "outputs": [], + "source": [ + "import tensorflow as tf" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QKDPyiZTIm1c" + }, + "source": [ + "### Loading the dataset\n", + "Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hNEMe7XsIjrK", + "outputId": "337cfe80-edfe-4895-a2c8-e1619aded4d0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mounted at /content/drive\n" + ] + } + ], + "source": [ + "# Mount Google Drive\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "8CXzo4MOJOl8" + }, + "outputs": [], + "source": [ + "import pathlib\n", + "\n", + "path='/content/drive/MyDrive/Mask_Dataset/'\n", + "data_dir = pathlib.Path(path)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YHPHkGyDKscK" + }, + "source": [ + "### Know the Dataset\n", + "Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PzbSy-vXKjD-", + "outputId": "ceb5309a-6ad4-4e7c-a7df-598c397888a4" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9002\n" + ] + } + ], + "source": [ + "# Print image count\n", + "image_count = len(list(data_dir.glob('*/*.png')))\n", + "print(image_count)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rFHWFYj5NCVm", + "outputId": "64ff4e69-1a0d-49d7-91a5-93a54b482bb0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['without_mask', 'mask_weared_incorrect', 'with_mask']\n" + ] + } + ], + "source": [ + "# Print Output Labels\n", + "import os\n", + "output_classes = os.listdir(data_dir)\n", + "print(output_classes)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 351 + }, + "id": "fESyMw90KaxN", + "outputId": "504b5151-d124-49c6-d0ac-0541126adcbd" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/content/drive/MyDrive/Mask_Dataset/without_mask\n", + "/content/drive/MyDrive/Mask_Dataset/mask_weared_incorrect\n", + "/content/drive/MyDrive/Mask_Dataset/with_mask\n", + "[3014, 2994, 2994]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot count of each ouput label\n", + "import matplotlib.pyplot as plt\n", + "\n", + "count=[]\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " print(dir)\n", + " count.append(len(im_count))\n", + "\n", + "print(count)\n", + "\n", + "plt.bar(output_classes,count)\n", + "plt.title(\"Statistics\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 401 + }, + "id": "HDSJ2Zk5a14s", + "outputId": "940d5127-e21a-4ded-97ba-96d324ea798b" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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7/m/wbbvaJ6QNqzqum2837F0cEgCwgR0OMCMzwNzX6/V6Xq/X65XCXyu9PG8fPsbbEoLNMJcFf6p9vIQy7tlRZHjzPi2mGoI1WMHZYC6iGrS+6gw+kTnC7Le5oQfhH7fFSN/p1MLWCAtPKYfbrhfqxdkOIODwxKntwqN9GBjc1+v1/Hm9En0oZwvDcjezLnVXPDygXc2OK+H69eANOt4VVzJg+PUlFGP2azaUkd2OHMOz1h9rBBZjgcbgyyQCh/RbOWwd/0OjYUrZrWhFjKhQ8XnTjZPoSDHNfAZdQtaznvXn9XqeVbQPM0mqysRcVYYqakyRkiIXYg4ztUTM6RsSu7F8wsU11EoWnaPOCtbhdfGNHEFNTC/IZj4DvyTNL2YiwSuHqCc1yTKzEjoidnStv6nygMQGVLZoC3o6rFQO+jzPs57ko5DOSdhrCfdVZBrdr5Ifs5XBe75fovjJrodkm+IvahEFQNInjsuVFeUsdalgqiGelvi0oU8NMLGxEZgxDl6ai1/SPqQAzAAXqrq1hE6NjCDkgK9VZcXJq4txz4cTcyWhujvq4cwOQkIbGjidoJHm/FG9IKSlq4/PJv4EJ2Sz5DvEHppS8XQAthCYX1pMVVOEnVLi0kCZR83sLELdEGX0WSMCml4coCF/Kj7Yg38cFLIxuMy8liqP/pESyXtL9tRCy/0UPlv+W8RgHIy6UbQbAOc1JThG7T0VkD4UHJT/RjerDS2nyx76H+OBWZViLuH3520rV1Pv7n6Gmr5XC59tHtIPsT96gp6bXuzM3NvhiR+DMuQno0o0m9Y1pLEW8EP6adQhY5PjR7PReCTLo+t0Zq43GB/8cnREZqQoMtX/DzWMuylHOPA4+jedITvJDGU2ZtaejjCXd+iIbjDDRq5bOVtvx+l8AZUS9cQD7/BFJkf55eqsAo9w6HEZ1RXIv9z48oQLqYL3KFEJJcYvm6FmXHuPbp2PZXvoBa2GjxNpYXNuqh66zdzCzOO2AruDwN3nOgX6zSAwYNQUFKKvznjI1LAxqEY/9jP6RBj/aMWc41dWTHSjbx8mNcU+PeAsBxyw+42PkFfosvYq65vd6H3GOQlMIOsOkWOYzVHQan1clntAKPFi4BYjJHXAtoTRf6o8GJve2RMbn56O1iHtm/VX+CW0MqqS/H1eAoXrvoXWXgyBXfF3CH2A1OE9hP5vkNgANBalKXIboujZN87KRAtjxS46Dg3p102D5Y5DB9lZ/Z7GKuQPlsD2AyUC3fsjlGjxIknFeEKtZ/kaJIJSr/yMHjq6NWsiLYQDbfWSyAWJZCBiPUr8dnN3Dd3WzMMCEZraPLvaExPJoq8m3NJXmyq+sCuncBhOymyTUM4YXDT0DpS6U2k4x7zABx3tbgXbgXnDGYNK0pgfW3Z0c/b1hGbTdZgvj4P5vTTAMc2A5czYaAHWz17PR/OFWbQ9ffcxnT2l3EIeOphngOIvuW966aPoOBAIZFAgESsoS+ky+hjrK611C5htaLbTR+A+xU1+0RI9uzx0fbkCSpyHD1XXuK3MjvSAKo8erg61WZBt5RmTBeV0PwlETZ+hgx3UO4wNd29kjxoMJARZW/7ozIcTWXsBnTOinzbFFu0O521pdJFKOp/7xeAG3kwOdRpz87qZbXJLDZGLibSzSjheKh5R3/TxAw4HfBWmkvvADue/hD/a16UIFgpOkq57jfW6FdLGjAe6rGpdU2Ut6myfF5IBauOAki+R/wvmk+GyTQfpM6mBwpeFttKizcbKnw8ZjSdTAyJ4gxsxqR5OGDf0TlEerwsr8wY1ICNLkyCEQqIoYEFt55obeug0kq270Y6C2titg9IQLewb0nZ72OM7MJYyyrROw1cOUHbPBI4q6FJUfD423XM4OhmEooVs67rBF8v/Lv1+ejyqIdxiYAY5xBgGt8PaY+ci2tMQ20VjTIyrRIjy/EKcLvHzxZGgTAwfSTTFbyxClK/UUijuKJACVbi2S4LtunGIXjWpbD6n4NuXO7B135FonE0I6gAog6v4arKvLoePWrFdePRfODBGqg6Ff9leryFonH3biqLNLDZaycvMarBs+eIEV5bqpLBTLKdagv5bZXGP8LVABfwi+Cn37lWU3x3uuiN6evp5dsHNiDYmljV2QR1oasfVLViFp0+536dfwh8+wFZ+cxiKnrCiOhQMgDuW6HXPOLKdg2/DpGIe9ZrSX2utFWYPHGN0RnFGzjhdO+52ErMiYucit8oDvvWLYslI1fnABTbfzL+9Aprx1FjE5wnbYJrIw4tk/pL6NPopekrPVHTMFoxqiFlsy9HoZKgce9vVhbrHmCg2nCNnRMaz87a+YTUX+pejucg9ESEaKxs0n9t2zwug0dSwQHgYQ3BKZSrgcD2WKq4koo2kGUaa3+WDkvsp+YGGo8VtuJzTguY7773DOMt5p+HHIEm8EVcD1PykdCbHco/nAcx9hZfkUrwJaG3zpwsc8jwt/AOC+uybFERNZ6CPUa6JdVGS494lrBBJK+UBPW3uUFKJSLA+gMr6bp/NP+uQLfw6LLmuAYaI2jp+1+qubcb0uIGqRPLe7/fPO/dljZqTgVgPfO5aRof7HrU+IuVodSouImJrR7SPmXHz0l71wifyR76juHzGBTsCM+zQzQgPOWAny0+fbbp4NqqbMV8Q/vfe+x2bIjaYAR4R+x25yOvn/bNreVeAK39qoK32pNv7HXvHfvccuBgVGurqjGIfYfdTjvPPiNj0gATCB33GN8WN3mc0IDWqUzcxxILZwfFn4ZgNECL+QGoYGWtMnSsBDfpLRz7+wdpi2vne73cKBoi9gwuMfn5+fvZ7R820wIpwW/CKUIBFeE6gd4dFVYg5ETJXuUwqK2P4fsT4Cck+W9srWiMinjtMfBP9fCOu/Y5I1WbIOYmYeFSrcuQSs8o61KE8rSnf8Vg1SGDKTYVrTi8Me8fPz8/P31zc+N7vbTB37gADLrfIZYce2ACww6OmouakGH+e19NTcYd5UGKyYEpDvW8nkLWYKQpbhD2NKL+qk8hzOr8eUPXoMdo+Kuu6nDlQvb2Hk6R2tnG0FmbHuomv5FN9bxiKHRk/y9nq60MqJMFXLctfudZg1Qour+VOFjtirR07vdZRa0KetdbzuC/nTkFfAUf53RVNh7uefrCPIPxN/Bfaoc87IoNFDDaj6j/hMUMExVAyg7l0kAInw8n77MRwxf5mrLO5QTwduU1OrSsdmgUcy7jUvCZYl+SXZu8X/CkJCMs5L9zQQpPyhCcqBMdojvKsYVn5gVn00qs99vkYG7deOkhxf899Wvopt1r8ZGNSLEYbLaWu4Azi555xg+8SsrYBJLE2li4eoZxqCFqVEetAu1/IBXK13nm5juXuNdnLoYlTbDMjb+/qYhBzENUZU/JlEqNlUs/mMPC5KmJ+ic/Ai/H6/HRInqsNKjVjmSHGoJL21jMbfKle1wj59hwj/4wfIhigi2iGSEw2dmYKoweArwyxrq3x5zRe7iWCHjotG55EmPrpRHyGwRB7YTJ+BOD8M4sQClIl+nwxaWj2bmDuMH8BmVgTDlTR+RywaeoywkXMs+uPbRvbWV/l+jhEQJWfMNNCkPzTVG2rnxwsGCOXqIUDXhPrli/OZM8Taucc1koZHImRssPiSWRpJ6FQ6CW6T4ujUsMs97tv44/akPpzhYyI+XmEOErZOnfUgOCBEp4IweCguETtpeyLWfq2XZ0sIwNGms36+9DAFQdVL0sjzDzAhflaqJgj80YelL8Og8u6i0qGfHs4VsSwI9m+FcHUBXSLREgx/0b/vKwV8BEETvEbEVr70vKyqzw0xherBTMv625MGnQhe71zoH4vhbpToZqbvtxtOfBErUR0gMbf34ziZ3WVwz16ev0aT+ha0Z0o4fh8C3+6ZGAt/bEC2sruAMCffxL7t0PZURALMXODsdsI9GsUrTEQpB+8rQzzUMCB8igsBRT4KcJaT7fCYOBMCC6cYbitFXM06vKC8/5WwZuV3zjia7d3MgAcsMP3WzdhEbViazMRYMMdHtdmHbxvnOKo9yVvhcdBOUaUUDAx8iRr+20oP0LC0QWMzt0h5gxTlnzR3JctB2Lt9FPWorXBjrNCKgV0n7tHNOgdW3qwmK3DwFg5yy0t8eAsO2cNcG4dlMQqzJ8zATsGZU7pj3sXK2GtjjFr1igUoeQIdBNxfQQCm+8OkwfU8WMc8kgE2mCrerBg4YhwdkMV6bE0Pct0Q/Sj6/F5fIg+n6/dVHmjw0f4d9gOUzK4m+FyF4+w8oAjon8eBWxHY68TSmlMAXTRGKpMeiofoVcwiIwltMacojhVae1C6fFoGNy9OMg4IxePclBgWivjozV2qqQxBpWFmmC44E+COH2HWGMRVltHlQIqUUdOjKnlJmaAr7XD4mEGTViMU7zyDxnflzEtnonv628L81OsFH5X7KtwcMLoKHwnpbgGdOJwXDa+dT9ZWT1j7M0Xw0SayDBS6uYt+hzRNKC2HOOz2JII2xlxh9MEWxYGc8MyhMF8rfdr/9mxzb58j9g36VMWR1os5FAg+L2clI3IOFojqnFq+7hUqjTWNbJvHNKX4StCdiCUF0iy5jXiNupnMe7LBlTArVsdCMYvCeBXImEoOxfgIbdNiG3wIqphsBzCMc92RKy9X3s4F1nQDGlTfV9F+fUY+HwiZxdzpmPMi4Ii12PDIjYHcRQii0ohrE25RMdMyBjmZhCJd1MKnUhRj54Ol6sUwbVTCr/6wmmFhQY0f0EWi1JmltNRR7f5cXlxZi7PjTm/Hp8n3byRrhC9gwoGkRHZozyklgKo7FJeuC2cLjIAY7iSDHrybLKYizM0n9Ss6Wi2aWJNLDpY2vxyr/2uau9HZXGNP2ZMtsysViFJr8UAK/UuoaELg+DOuUOC30GBEm85fjkKMljTnPzBZqbQzlDp9XC7UXwjQZoK0OtSdcl1d6J5nEkF5cfaAJQzI9Q8dNJg5nBfWE+u0feqYSyWjHBJQNK3/kOtVI+p3ypCqSy1nmOru8+L//k4goLyoxEgW5+TZ2anR2APLnRTtYH5Q150Bt3UjAJA8RcjEpkpUhfgUPCqhm2uRzZYij4cMF9w9/Ws53meV0qfNTwp4IQsOiaVMkerLCh5M+v6H+a2zT427RvMgQ84mYkEiY839XfL6ch+afUQL+J0lKNuHRO+1IjIgh0AL8ljPI1xMzqA8kFjFnjt+1aDxxERmYsmsYE/nvu/Pc9aOQL21CAM66cmLjs9ANXVzgswo5lejtrfuQvZ0xK6j2/eVK/TYDEzL7ancgErd4hZKSINtzBjMkaiZgoWw2vShThqELaTfoxtNDquciygJ8wGh8k2RZ8ZadW0zB3Lc+u95/XUv5U6yF0p0mKlqpYAxSoTryThxIRxVNhVRqLY9XQp/LuwT7nbhOzmKFNVzAVEf1oHQ08U93AJfdcjRPAUL8ajpl208W9SIHkB1wi06OkjWanz9XgtwX+e58/r9Xqe13pqm8MahdcGFMU+h7EyMSvJWn9+iXDGwmBpsrKvc2KWVBDftUhJ8P9B9qZkhwRNI2V0CmNEZvWoCsBWfZpUYD4jB8iYNNJjUqL9tZvcV4lp7diGrsyeBGSt9bxK6Lkdy58/z3r8eXLMcoK+5NxAPWBoKOJXwd9vdHprz/2x+jiFOv8kM/xcbWeUfswvfGytd315svjR+ohjdBP1BtW8Z2jO1HMfKL8jBDP1LZzj6+PgOSSzfD3reb3+/Ov15/U8f57X63ler1dG3YqNOWx2yG+Wpa44MD6ZqPwVTS7RPXZq5kT1GfXHSh2h93Eyo1/UyaeuSFpwzmy5VM1JjEcapol1SJZTnCinGJbcdwH9BThbmLP8gbu/1ut5ntfrz58/f/68/vxJtvM8L4G+AuRF8gT6U+Tzr1PcnZbe8j95cs8L6py+T4jxSH6GrtJMHfDvUy+w670COOVivI/LM2BA4M2xL2hyY0+WZ9LJGNs7+++f3OB25wS0FASQG668Xq/Xn9z76fV6vf786/V65f63JJqc9xCTHEj8gzBeWrHzjX4xk6k7QRkKCFIJayXkHVTDH4qOAzUEhUT0q4nHwQdk18ofIgB7l4zvsNYDWMPlMoiF5RxLFh1b4m5e35vDMbHkOH9ef16v51X7rr7+PBlsubth3ZymFRz/ODoT0/pP27q6OoFZwv9Apifn0ZgSRt3aug09fc0IS7VVyHzcRwPG7hXylxxy3TnkrhArceunN2WjyzUmMPdHZJIAM3fs/MaKqMlG4MS22u3v9fqTRLMo5lrP0m5/hhnwoYQ+247+OgkazNCFQEPIINnrx8EeDpE9nDBsFOvQAMFiFpAtlDuXelo1cf7mKeJEqppaj33zgU51h1XGVfL32g+yRxpMf8ECDotYliMxiZDIMeK11lrFLJ/XK/1AQ8ScH3HlT5cNTRQiDVeC2cEMDEyH/Ako0xvuZzzvGkQdNIYx1IwzINT1O2G+CGvPSdEdC9YtmHp9hA9yCsoOcOe3ZbkGEyl1NJhG+AGsqK2F3JGz37TLYu1gvnw92ntouvMtlRhDzw2cU0JXeIvrHgPYhz6+KmDvPVgJCa/CbwzGJekfkaWFSI6j69VCfHlJjGGFqjf+dCznZohMhUbo5/cOJxB53TLvwc36c8fn9aT5d0VBX7ss0x4lb/G4ITN+v8PR3zDjmJ7On6DTaHN8dikoj+fdCijGQXcPBGqetslTT7+MRvBp+6MfgyMzyFL42oQYkg6rVZwNeIykjwaoumwM1QBqZ7Onpn9yOhB8FalnGaAMk1Z6ScSuGRsnfpxRT4qsV6evYITfC9+mAnJCPQALdba+ei+/wbDioJLBD1ArWiSm0sPeUEjIG4BlK4m5KoNLe4xzDkMxk4uPV6En2uXzznUjFi/JazTrtmjeB204zfu/cOxDludwyxFkx0KI73diEH7vneYOAJEUrmZBmaQGZ7TijLiIGYPiujMOI2J8y7uVoBMman4say8uWtLmb7PLzdiGArrA4DVswq/JyL1pdqgBdYmE1AJq6P0isrt/LeXkeu1GrdfD+79rIczs2RGMk7lUxwIWkr9h1k4Jj1GFmKqGHY7YXGb2tsTKgYjVNS+ixcovaZAHyOtaVsES1oi91UaBmjf0RY9OEY/pEPz7QppvUvrlkE/youFJTQevgMgHTQiKEYU2zMOCmxqZ+pbGVTgTFqbSS95zW5fUgOZCoNX3V3+kvLULcZETX2v1dx2qGCD8YRsL+1W9Y4+/gdUt1MLN7AOrgfxoREw7//wqenSk0JSOIWbixWjP1Sy9fKKvDUuMK0JbgdkSo2tmH2C2hW5hYfVFI0f9zURviPFkgSX0oQDn9GXF5d6M1aYTUFLx0Q1jeJpTpGRpx9hjX3eTlguLblUcJtyOeaHaWS69LhwP6eMJSZ+zpoLjeiavTpjW3thRS/MQhtotXReYGVhPrG99KfHnFz49z+fKt4IdKQA53ZCYd2QW4hSXiDHRSSTpU1WV2AyznWfwk4vSjYKYGqTo1FCPr2f/Q0EiVA2dlnG2qUiLZmeYWcQ2e680c89vWxgRjpC12vDXc5o8fx6Dc4z5NvhiVdvZFgl9yLg0MD44bX9AM0Rd54TuGU0OCfNNiRMtYhmbzfelhPve0xBG6d7MnnknaYI6KCQhW8xBIotIrvKGO+cXVMBTKCxYVw4qBfgqkqMlV8VfWejIHVmqm23GbHxouDEs0fAMyqeLT5qpMmIyuArIbTct2FPYM2keZ30oZYr+bPpAu4/hFg5JUvBhHGgN3qNCsZuAwswQ2MuXVhuUIMTyhfurajHLa4ybuZgooEh6sVuEocnMeZCAagj+cwjDmgZd1pjp5RyiY1CgHbfo5XlN/ijr4RQX+vTzQlsphcQ+fk8FDPcZ/eS4Zd6BZpcNcyC/O3NxEFbiiGoxFSAtYK1UHmWmHELgRRvM//bVLIym9X9XCQYC8SHi2as5DY8434km+MvMXHb/BXumPg6wajPHJfSLDQwFzOYLS2L8pJGnVmqSL+YXAkaMEW+iENlNll/CrBaID5ttbywyPxRAx+/WYYBkXXlx8GJBZ+52ROBDF6kuWTnzvnaA2+Q/4efWTSant7APO5kcqhTwpa00/+Dodu5F6DnV1Jqx8JYaDKebZFcCts0iNt6cPjxBYwhX+ZRJCCfgcrbLd7CvhaMB7+2s7q6e5HLEfS7iODDoDAK6eBrJ+JQnpJNVnU4J65TrrYNfvsYqEWgsLeCf5mdtp+7IKotaVVCzDfZuaY0qUtOHkXqxEpj/IsWYeGI9Z240UgG2FJXLw/4hOhoxhzroIXgM3D/kfmHNJfehgGrwGDI4BNoUepjCo0CkVk7c1wobD/mEnD+UO+ifGmKDsej5quGQbaJa7ASOGKbbhqJ3B50Yh2xv/BsKrltIqhN1lIF02VVKxin43xQwfmnpj+GzmUPE0zvHVxmqOwEGuAIh7TldUWGH+R6LUwcPrBx9tKDGOm16I1NcwZXQoEmHALh7eINKe57pdm3DmDKDnlv44QR+ly7mI28UOqQ9OvGLlMc7MyK0jHSlYkAV4fgs5GW79UBviLDY8R5AeMaryydNzxS2t9SVhrn7VMa03e4aRhd07wnaCqwK5QwHwbOk7QOH0E8e0h+i/jh+l37b7i3+L/0ZE7Ng18YQx/zLdoDc8I412Oyro8e4IOEFIQVCAHbrlH47gZ1W373K3qh9MWtEurFIJIYFY3TlxI3xYyjg47TRiHltfzZibHSi2KjwyRoYK8zm94gNa6WBseoc9dVgTftng2BhuXREwE7nhxBJ+VEb6zBEIsdoYDBY2Hw/LsujrRPbZdd23lPGBGh1wgdLspa9etGUZt7nSGMG1hZdmWvNDvAZLaHMz70izkYRvEkcm5x298fF6jGl3UnpOL3PODA602itwqcJ3lWxabdyp2Hy+j0ziZYBmKKaWaDWNqIIRKFut76PXzCEv0QxzrpAp2CHGM4bdAwQUAg6bHAbXdNUC2yvqf0m6X+68QhwfbtaEKBlAeUeWZK4p8GMY5q2LL0ZztnbMuTqpKw3RhnLYlu4F1qSzlQbP6XerwfchEyfyHGD0LdjxIBzVRF7l01mjbqcgHNkHaeNfmLtFaqiyeQvnFI3oBIsrfZLIPx2zMDT78X4iBL37du37fIDt7Co0Yj2sw/w/7wrqzAfx9G9X5v/0M7qgWXZd4ivJ+wIj72Vle5cnJ5Ge4OFnhvzAQM/s5dSOzTeXK9sKEGn2If595MO35VzUug24JPzfxEOj4iodATw/OGffblH74+a1FSACPd/av7WidiYe9fgE/TTHXtvYPt+b8BtW7Od0g2IXjYAqZuhJh9tT13T5/seFRG+N/nGtkMmVyw/Kcn8z4A3AMuJOOER5uHuYVmJhSqyxsAS97O6UwMg/lneH8dDOxzr41p6sSMQe8fGdve9twPb4CirL2gCJ45r+XuUftSeYYdm05zm7Ltp8Ycpf2MsfeOvLmE0fj1X/FzV2GwigNgRKyIs3Fau73XblDw+2jB78/9U5OfBIKxAeDSezGpv4L03gE3mn0NjMyyU/KpFOOdmHw0f7qny8ZSlYvxwqK8qiBMs8fWcCrR8or6bPKz2pavFf9Xq+gaWuYTtH9T/3z4eFEfAuXCiWh47cn0igPd7p9sCtmHuTsKVg01ZqiOgj1IZxo5CzCEyJIz9IozG3/h1UGIT6/pQy62gsa6pYUg8xRg0600AZu62Aez6Jtj4nxX6PLh9fVgvFjW5VYRtGT6Qs+hgZjXHUq5Y9E4+2U4LAlJHJFVGMFeRMaD0twSdG0uE9V+ik4f16xjo9Xl03OyTle18veJ/9GgIYtwTvGXz6AXc4A2WTnB+XTBBJWx/44zAB6+mykasHdJvq5bESbSoyHII+81SZwFMfjdJweRM/76De0e33x/kMGWS20clYG6Hx47oPVdFQ4fj9JckDTotZJngTQCb0eCraMqntLfBP9vql0/jl/f/vUd9m6pWV9Mwm8AUj9uxLYC9N3JsTBHYClXPjGtyk/96HKOm2vbpFEL+mCMzlw/8m635/+Z4WDCr9MfMtCAmokE2cXPv/X4nH63F/wM1oOwFMDKiehkXmWjuMqse0LO67vkZia/j348i/63j/wDqIzMWwo9YbQAAAABJRU5ErkJggg==", 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WOWMyeYZMwRaL159BNzEl0sZqAwDW2OQTMO6Mp03TzOczSXHZtNbYLM8YIgL7IMZoZgm+b7o+xAiEpFVkIYiYggPYgqUQuMpxlFHlTBciJdjJcVgV00LtTYaVc0qRdW5Y5ITIwDGxxhRZGBkAFOkUBZQAAW+z0m3AqA0hkghorUhxisDAibuu6/tGRPrEuI36n3lgeRZrJE7b2sCmafrgWUQY15s1agMATeuJ8FkN6rMiD+JlTLQtDxCRJiW89cEMANpqIyIpheW6B2GljSZtnbUam6ZmqRWRUsYYY41lJJHLyIwAnFK8hW2Z88z50GkNSDhfzJEoJV7M5lbbLSiIQiE1ddd1oWOBLkRCSAkcIqeQEluFBohj0gRDB+PCOq32BjlLwqo3hDeODhBgPCwPp7tEaK0GpASgGWLybAxyAgQBCYlBoSARENAWTNr6KUYGIUIAbTQYDZFBxFmdpEyRK4S6bf1ykUIgkMtgG5lZQOASJxHovY+JEWHddqgUszCwNfk2MuHIQFutZSKz3UbWGnwWBvEzFNYHr/O8CMF7741SiFpEQvL9phMRrYzNnCalNYfQ18KktDNWaaOUAtrW+4QAFGKR5d57JO2sbZpm67l83xpLkQOSCpyU0HK5CACEkAQSgrVKa/RdAgCl1TDL8kxpTiaFQmtntFKYCQ7LoQgf70yAYFAYhORMuc0kPamIJrMOt5e6Ld+hCCtGZiJgEiIFgEDMCQE5sQC5rXIiEhKQ0ohsOLMur6rp3n63WqzX665vfZ9CHbz3iBjSNvJIISbPLCLMCYwJMSGicm6rmgkjpktXYMylwTBabwEVIpJn2WXftXo63dkKpmk369UmxoBCQJfAq+/6lqOIEKk8y41FTi1it3VizjnnsgQEAF3bIGKRZ0mk6bqubUW46zoQkCQILJxEkkYI27o3QJEbpRAFiMhqmJQuNyYDEdKVVQOtnCEnZACdsWWeG2P3pjuVKxSCybSIRIVGSJmt40WOfltXFqO3ED4kIdpuWQogEpMG0EQKQYBEhAQYgEht3QSgIhIUyYrckO68hRjXdn163scYEHG5Xs03a0XU+55ZmAUIQ2AExK3RYkFA4Lj1Q6QRBbS1LJA7AwCE2AsjAAJ67/V0Oup63/Wds3m2V2zDqRjjarNs6/pTaElA+r5r2g0gEWJmsyzLvPd93wOg1sZonRtTFiULzC8uZufnABhCQk0iKYTEKcWUkAASOI2kSBsLwBplb6ccOuOEAKFCQKSRxkpjrrRPPTAc7+yWRTnMq6osSBGhQhEkLUAR2GodBXQMgASIQAIxJEiCCABsjVZuuyhbUC0yAAEDE6AFBCLgJKDEIMc+AW3DT6VVibnoRInToNcgSNAstVPaWh2SNF0LxhJC5z1cgh7PYDuGS2XfQibWgsinK4m8jQAhxqBn84WzZjConDE+hD6k0HtE3J3u4c5+iCF633Rt09QIYJUFBGHufN+0NSIpo40y46HjFHsApXSzWdd1jYTz+SLGQEyj8SiG8OTkXBtdlaUOISZGQq1IEe0MC6PJcpKQFCJHnjrcLzIQvDYZhZTGhRsVg+l0ZLRWpI0ySmtE2kL8IphSSgIsQIhoDDELAyjYJpwp+OQDKMryTAQSoEBiBgQgxAi0ReSFICKRACOrKMIgAIYopagIndMjKQtr19VqOhqI4GHgO5sVKQUMISbrssuq6meV5M94IaQ1KRIRqxQn3npgBk4x6qauY3DrVS0IuXN5kZVlbicj74PvexVU0jrLi92dvRBC3dah733wEKI2FgCFuYut4MgoY7QiwvlskWIixPVqCShKGaVotez6rmcSAciM8goBMTdktTIERpEhCX1vmBXg0JWFc4ZUbrJbx5NRnvchHO3tCUJZZAKotSFEQYiARJhEkAUBBSD1HhSiMci8LXYqIEYgUtu8GLcBjgjJ9k9hFBRMLLGPjCiAApGYFQCKoABKyo1NPvaSrFJWkVY4LvPcqjb2bRuQ5RJuQ5ZtBR5AQBQpuMSildqWkrROIWzlU682wqA/+OAjAJhOJ+PJWJi7vt+iGFmelVU5yJxSKkbuuhYARnoklSAiEKyXq7quEyclMhlPBkXJiUnRcjmPHBGRiFISREo+hegHg6wLCUgA9KDIQOnUtVE4olcefAgppMJmudGVczuDyaTMM2Um5ZBIcudynRlnUBkvrIxDlKSMgBCSiEhMDACIpIlwy23aWgParrpC4vAsOlQEzFtGFjMgkTaKaZuqgQgQJjSKASiFmELf9kigEIBBAUzHw/lm0weviYRT20cC8L23qEgRSVKkkoIYURklItvA3ehnsBRfJnpNW4uA3h2Pl5vNbDafzxdb2ltRFtOdqYlmMVvINhEjVVXFdDoSkcTc9X3bdWVZVdVARIDEaMVJyrJExAQgLJySda7vOgAJMRhtfIyQhBm0gdBHNAIcfBdm56Eq4GicA9HQGWvMwe7uwc7YApIkp621tigyrZ0xqifSgGiJ0ABRkqSUeoahKiIABiYmIEBmJtIoW4yRU9rmlqhImBB4GzwgiXDwvIWkLAAjAwKkRJBEQEkilOiTRJEUYgyGKKVkFDltzCXiv+XmxKbzMbC1ylhnjRaQvm/HowmK6C08jvgp0L2truv9nelkNAwx+BD6EOummc0Xs/lCK8qyzDk3GAyGw8FqtZ7PF1prY7TLs93pDoL4ELyPBEJE3jd55tqu00qlGFNKeVF0bUvAktJoOGy7LkkSIRZWRBCSAiwgpAwqA2VmFdKV/cPDnd3r0x1j7MQ6Q5hrh8jOOa0IiBBIWUug0bqUAgFuKW+ofwD2lG0x5jJ/R6Kt39qmQ1u2SwIgQWZUKAgEIKAREJFECZNEYOAtFi2siSIG61RciiItHMdVuaqbVdsZTX0SAZCQgLwiFA0ggsI2dy53vm+KMlNIQIo5tXVDBCIoW1iVRRulrTYImU8pxrg7HqWUmrat264PcblcXlzMAaSs8sFwVLgsy7O+D4uLBWos88I5u9l0vN44Y/M8SN8Dc/SBJWmEFBNatNYWecEpgAgCd20EhNwqq8kAOAO5VU6rg+meIRyV1XA4lBizzCrSxhhIbG1OigSRibVWQIRIoLUiAiQSj6RFEhABAm6D/mc1F7ysrQswSExAiCAIyLx9FRASImIUggggoC6ROUYGECIweQ6K6rYRFKOo6bsyz0kwhcAJMoAGABUIs3YmCWz6SL7dsyZ6MtYoRUQYQ+tDAgQQKDPnQ9CESZE2hpiBWTQpbRUAoMXMZlXpt8WX3vvFat32/uLs4oyZWaylyc7uaDBYx01dUwzRaOUxrDeryXCcYkQN0nHXd6QUg1SDSmvddR4QU5KUhAFGDhRAaXGY57vDyuXFIC+M0VVRaGvL4ZCIVGBjHGpOBMoZU5QqRdaIRM8gdkIA0oaAABCQOcYtuk5bOtAl5WTLR9myEUD401QUCJSQyJaLAAIgFIWVEKKwADAqQCTrbOdDXuQMsmj7zWIeOVmt15tNRtAyKAQEGI/K+XyzLSIlDn1gRXqzWQ+qAROJJGFBhLoLpCwp4zLSIkgkzwC3rbIAMeU225qq3LnC5X3024rEuq7Xq/r05Oz89JyItNbXrh4RGmHp+j5FT6Qz4xZ1t17VWZYbYxFxtVqhImQJwlusP7NEABYgE6nyIs/zwWBQZJm1RoicdkmSzdzk4IATCzMq1E5r0UEZIQikCNLW0ZNRKgmDSEJSZmvatxuACQAYgXCL8DNfXuHl5iCGxMzAWwZQIiIEifGSJGREhBlRC4AoiJAYQBujjS3ybHdQrjd1rwAZCIAMrVa1ymzOVHd907R5nplMiyAAaq0nk/F6vfTei7AiCMkzJ913NSIREmrSpLe0c2tpu21FkFkya3NrWTixDIoi7kx774OPje+tNdZk4zJv+oAAMURECDGBiI9xkmeolff9arVyxsYUITIiWEJCPRQPLIakKnJAzDI9mozHO7uZc9lgaEjnLkejNXPqg86sKQakySnVxxB8H5k0ospzhyg+QIhAW+qmPKtJAfCW5fjMFgFsMfBLthqwMG/LkNsAiVNk3iLViZASMHACSIiglJLISmFmlVYY+qA1apBM0yDxKkHyYl3KdDaeZlUquradTCfLxcL3XV64QmcMTKRSSiKQkhdJW5bKlkTHErgXLwBaG9ymm4q2ZYnLildCIhBRDrGwuU9hENPO7g77GGLKnBPmGMPudFivV8ZqYc5c5mPo6047pb0CAGeTiJRWAUhFAEiZccS4d7BvjSuLohyNNFI2nRR56bTGBCCgtiQBRcpkSgHktmtIRW77dug0MCMpDxEBFREhMMtn9UC55GnjliDBnwHQ22wVWC6DE9marCTCwJK2LgEAlRCoFKIm1UVfFtmgzYzBndFwU3ezxWLZMwk0kXvBLjVFmRMn2mZAgIB49uQkhXj9xrVqkLfthplTEqWIOemqKJuuFUG5jAdAJKUQtygsKW2MAiBEeBZo4NZnWGVQ275uUuLRaDSZTlJMbV1LSDH4FGNVFpk1m3qVmBWqLbPDGE1kMiOOIFd2fzK8de06ZXoy3UmSRjs7bjhg4WXbkdJ5XmlHymbKGo4ptK3nJAwIOjfFpl+iiGjiJgACKqW2eA6hUbQ1mCEG1AhIWyhOQAQEf5BuuEVnLl/ZMjk/pU88ixgTo1acgnaaW46JE6fpaLxcb25fO1SSHi9nOSEWZtMFRIycNANIPDk5GxSlcOoh1MuNU6r13lrbt22eWedMXde6KopBWW6j0rapN20X5VNiGQCI9x0wAiIRkTZa0ac+g5ljTAg0LPJBls0Wc4ihi2lUlrk2yHGznnkfkJRSYhFZayMqARLEnFSeZQej0XBYmrIYDiag6Wy2WLTddLo7KPXT5WrZJ6WVVu5gb6cwlrKMY0wxQRBNbnfvIMZQL2YGQZiJBEHpyxMDBkkpgTAxICYB5EtaAn3KfhNJBEorjUggEDkIAYkGxQAKOAI/oyQBhBA5sQUSkszZo92drmv6IEmkyKAH9CESSEqJWy6GlSRSCQDQWaeIfO+f3HuYVblCDMxHe3uh7wFAHx7uhxD63rdNk+dFWVZb8+29b33nfUBUqLetFpJ8F0S2siClYmQCLqriytUrIQTvvYhE3xMCp0AsSdgAj4bT1WqhBHzwxjhHqEVNi8Ja3ftISmfGbjaLk3rdxYSktXtSZE5bVxTV8eHx8f7+YlP7ARkgZzMPIQbvU5ROgSSXOY4REBGUIqWQJCWGlEIIfY+IyupPef0ocJl9ITIAomIGpdWWF6SVBtZCURi3NE1GTcQgLCApMgkra7QXA6ojyJ2LMVZlceDDB4uaEBNCDoCEbd2icG5s07aQGS1YZllKyQg6MsXOQfRRkJy1en8ybkPklFikD76r284H5b3RelBWANB53/VtiDGEeNlgJCDA0Sdj3e3rt7q+Hw4HT5485T4AgssyBN9CTYTAkGfOt3VbNyCp3fTF2A7LPIYAfRSjNk331tvvZXk+3dtlazYxppiCqm1ZMINBvHP/vtX69rVbz9+6dbi3Px6OqkG5XCJx8qHXKmlEpTULQ+KtfSGtc2tBOMWk1CVKqQA1QQJh3oapaDWAEAsSqW2ohIACEYWEiDihtoy89ZkcmUCQdGlJK9W0LYJLO6NmXQuCMWZbQRsgJRD2IiqBJLBZZpV1TgI7p4FTH6PWZBBQ0FrDGWhGyZxBsggoUnR50flLSuhmU9d1g4TOmi113Pdh02z6GEUwcnzhxeduXLlW17V12ZOHj0xmETF0HkCUUsYYa/Lgu03dAQh7LhQ4pVZnszx3H882k8revno0zgpydrVaizPZeGyGjoGSMmezGbOI9CI8XzYnp7Pb168ro68dHO9NpwI+xYTAKQQBVgAkkAQ4RI4xcSIRow1uiyAogtvYH5+xcLY9H4D6Mmu7dMZkABgZgbZBihDpGJk5GWs5JS+iAA2hkB5m1f5keDqfA8NNMR89PU/IgMAxpQhKIXNSxsFl7sGJKG1qm8veoNTGgDLLzVqfPnlCRERQlsOiqvLcZbndsuAKl/VV1ccIAL4P680mxjQajrYkGZtlw6ICAKVUvVmvN8svfulLq+UmtN1ZjACgtVJEbZS2qa1WkiKiDikCc7PcJIAvfuG1z3/ujYv5BRlrnZ3u7zZ992RxEaIMRoOHjx4hEWJSZNq6++Djjz/68ONRkX+0e/DKKy++/MLzhBi9VyTIEpk5MgQvAAqQEBOnGEOeZ1tC1DYP26ZrIAB8CRQ7bQEgJN76jW1ghAoQLVCSFBABo2cABaC0Io11HYos67slCRurp6OJ6HbC9TgzZ5veI1QZdYFFEYIoRT4m5kSAClEj+ujLcphSYgBrjR5URe+j92E+n83nM2OM1sY6l5dVXmRZ7raeNjGPhmXvo48hhtC17Wg8HVSDlNL52SkA7O0faKW0JrZKGyUizri8yM4vTghRK+pEEKFvW9+nV67uFUZNBlWW57cnL+ROgzGjnREA7C12Z4v50/PzUW7rzkcAjmKSAKAk6rqu9/6dd967f+/ewd7k+GBS5NmoKlFrijFtMYbIosWRYQUiQgCgkEDBZbkkCQLriACSqOs7bRwLCLAoBBCjDCcRSUobbaxwSjEZQtYaBSB0KUVEICJjVOmK410+W3WaUAEODZKhROQDtz5dhNRzqMrSGsMAkFJLUpAVjkmYSBEqrRCq0tIgTwy+731IIfi2bRbzGSmVF0WWZcbYzFnM3BCh770PMQ2HWuum2aBSMUYROTw4mI4mZ0/PUoogokhpi1bptq6rvGSRFAIRZpoU443jXWdUaTXELtOaSLnCFLlTSk3Gg8W8GmZ2kNmPPvxwuV61XYzKERlCu67bh3fvVUW+t7ur5HZpkWTIfa+QrFEkQITKaAukCPASciQjIPhZpx2wJGAQYuAYvEoRkTKXwbZioFXmjLaaE0vogxdSCsmhAeGEyMaYGJPTqk2eRYrMpRgrV9w8PDxbLVehx8QIYUt+bftk3dZ3KoNoAMuiCCkySwwxV1qn6FO8hK6MNi4zW5vY97Hr2r5tu6bZ4td5nlflkKwuMkdKPbr/kBGVtsyys7db2qLteuaUYlRAZZ6FGNu+JUQiajctByhH9o3nbz89P/vCay9arYbDQmlttTFGFZlWEkLTJK2atp6OR8OquDIZeR/uP3z0yYMHi9OnDGK1G+ZuvVkvl/OHdz842J0MhoMf+fKXrl+7wpEAJPVBgCtjR8OBoGBkViCoPqO4JRYUTrLtNCdSWV4qo5zOGNK2LAySEgApInAMhMKSWEIDAEqbYTXKXF5V1cXsvA+wqfsXr1x75+793ve5tT0wYSQFLkEkEIA2BDQmpQREClUSWW1qDCHL8xhZb5YLVMpkmTMuxZhi2JpBQyobDIVERIJPXd+3bdu27WV3qzZE4JkpRefMznh8//6DIssYQJhJa+ccx7RumrJwhMn3ndUwLMuqyL782sua0s6gKHMLpPJcsaR2cRH7UmeZb/rUtrbMUwrWqE3Tlrl97flb88koeG7btmlbCMyMm2XXl/3+/v6jx096306rgdY6t84Z7fv+/KwfTyaEQsgxbtEFSCiJkyCxxJjY2oKUZomWrLJKgQrMgJISURTPDJxcUYjvQZJP294PBus4hJRYGzsYDZfrU6M4s5QHjTEeVtMnixknQAKlAQRaH12eDJCgisx910KMpXOUWILX2xp8v153sFZak1JKG+MsJ0yxgS3F29DAFQQUU4oh9j5towKDNB6OQ4opsYTYpLossotNmxtSmLfrlaRgSScOCjkvsytHu1evXdnLhAAweq2KyP7s0X3UqhiMfNurzBqXjQYFKR27HgUnRVkas9msIaXlbNVLKp2NuQ89SAHr2fp+/Pj8ce5vXMOrB9PxVLSOfQTSxhpmIE2AnBIQkSCkFGOMYdvqHJN2W/WWddPUbau0RaP1tqvJqsw6ENFa5cx932itIAWIIOIBEJUWIBAxSjOA0fZw5Dax71Lo2j4C9iyxB5tBviVwCHDwZKhu6moyJSJmTl2nfYpKKUVbun/ilGLfdxsBpZy1pI1SSkCDDwKilDFGOWefPnlaDkbWGW2MyWxXt8o5ZABh5KSUDZsVQDQote9EoMrM7v50dziQFDUqBXx+cfrw8YO8yFxemrwqQYxTWoFv1pFUXhRGUTas+q5b10kTFVmOI6xyu17VyfM89MZoRQqJBeOqnstjv17Osiw73NkfDccGkCWl9GyyAYIIpxAlpT60QJiYqO0TCABo5VxWphCAJVl0uQOlgRQCosK8GuusiIUP7Rpir2IibS4uzhILIuRFebBLDHi2Wm2WvQ+RY8iVZBn1In0EQPTRWzTKKEjShXY0HClC9GnZtrpZr7akRptnWjsAUM+mDPi+h77fFi2Msy7LkgAmjCLKaOe0MUobenj/gdZOawxdCr4ljaHzzWqFiCQSorearFHTYZkRh67xTkP0CtBaxyJ916JVFxdnMfGgGpAxMcbNatP1HRE556x1FklpCzrUAVGoyvNErg9eUgy+dc4QcdtstOIksQ1D61tA6heLYTUslQJEFogiPkZhgQSJhZG70AAYhRggQIwmz5zNgOiyeURR5wMnsFojCZKyWc5swXuVZ6bvaF07bQ7c+ON795rQW62JEEUKawKkjgQYfJAMgBM3sanERtQK6WBnd71YLOu1JNbn5+eDqsrzvG/aTpptMd0YZ7J8O+thm8pE76P3lz1ixmjSCpX3/uzkJMvKJ48f5XnZdm1m7c540jZ1jMlY7ZyxKHvDYUislBIO0m1SXhBAYDZa5XnZer84X9nCmSy/WMwXi03XtiBQVoODw73oo/e+rTuFkGlHBfaN11qbjM7Xi7buyJCXftN5o5QOsDOeGKf70ObZABF9CBr1lo8LwJEFkZElpOCZRdC4Mi8yRaqL3WrWAVCfostyl+d9FxKHo8NjMzCATkxg5rjFJULKXaEPj1fzeeoDAhtlCFRmzFlKQSIIEimVREHCyNbopk99iBDj0cGhjz1FWV/MUgja+/7svAMAY4y1Ns/zPM+977quQSSllVZGW6u0vixlCBAREF7MLpR2xiitqKkbFs7zfDoZN6tlDP3s/OT5G889OT9XCM4YY1hx2Jnsxq5ZNU1lLBN1vT9brJRxeVGtNp3upBpW12/eisHfvXv/yeNH5xcXVlmtFBJNR4O9nV1ml5lsuV6vm2Z3OKgzDCGIBIRImrq+7bjrYpe5gjEppRGxiT2GhEQx+ZT6rm198qumBpdPJpMU48NHT2bzBSjVRzg6PoqgHj55bz5fVWWFRt+4uTo62K1cRko0YelcJGSjbDWwLtvM5o3vY4yZomXoS+cIoLC5sWkZuEveapCU9g4OcCLr5Rwk7E/HMcTE6erRQde1elX3mkBrLeJjjHVdM7O1tigKa60xJunYtTUiamu1tkrrdrXufMqKTJuMWS5mJ03THB0eMBAR9V2zXMzzwhkjHNrMaGOhyMrxsEopcYp9lNAFH6LOMoWEpFwxqLTePThWNrNaDwfF8y+8nlK6d/fu00ePz86e9E23ODt/9PBJWZVVWfUhaKDSmHFe+RSbtu6CgLAmJZIQxBodIRkN2yEPCYVD57s2cHj88B6Rmm9Wq05WmxqQlFJsUZM9nV/8/X/4D+u2P752tRpMirLMiupiOVdo9vZGx/sHWlGeucLZqswqs1VOq60dT0ZNCOebmoEVUZHnPrKgXy46pYCDjMpqtV5qUBFi4TLxPs/02cVpSknv7V8JseubuvVeJBCiMSrGuF6v4ZJYj1VVDQYD7vvgvYjUbT8YTiRBWZTf+e73rl+9PplMtLFKwcXTp9956/u3rx9PR1MAkRSGVZkrPc5NkRnkkBVF3/mu6wCBRRFhMdxx5aSLYbZaTSfZJvZtSCmB0Xow3LWuJJP1fTc/OwWUpmnbpnXGKkVKEwhpxMJoq3KEZJ3LCDGyUVqTKAQkCIEjRO83q2aBSSLHttmcni2btj/b1AKyXC2XqzWToFKD0Y6y6vHjR0keuywjMjs70+s3b64W1NYdACuNWZZdP9y/sbdLANODKT8OIURrtTW6C33uXB9jzR4BSYAZtFIPHzzanYwjkih1dHDUdU07X3Zd27SdFhStrB7YEkCEWaRrNnXXAAgiOaW1oc1ms9lstrSWMs91Xiqlu66/98knw+GQU5pOpiml89PzTz54D4irsiSRxcX54eF+rp71TCsVY1yt173nGCIqVWgA4y4WmyiqqEZ1F9/75rcv5jOj3dWj/ddffQWJomgvqvEcyPq+65taERbOD4o8y50BIWd69ADK995YO8orB6KDVwJaWyKlVETmiIIA63bV+PrB6ZPTxQqFoujoA3MqqyIvM0KFWqtMJwYWCElI0aZu7ty5k2eudFmeZ8fHB+Ky+Xzl16u9YVnkuiizclAaZ5Z1t27aJEmRcmQhxWFhN50nrZKPmTFszPUrV8a749P7m7PzUx+jj0EDKHhWkEchBamqRtVgnFJKMfS+r/taIpPWloiU6kLaHecuc0/vPXBZMRxP0nZ4BdE7b39nbzpVIKNh9ejeR5PSKdKWkjBYTdNRdT5bKVIC7Dl1bXfv8eli6UW7nem47rqYoveS5253Ou3b/u/8g19p++7KwcFwMDjen2gir3QvCL3n6DlFohSMcbJtcQOlcVqMJoMxC0MCnWmNqDgqkchJFLaKvV8LeJaglKq7PsYeNU52BylykZdN71FbpzGFEBN3xH1oF8tzYzIcDXOl+h6fPH3iLi5Gw2qQuUl2wLZkhtFkuFhu9vem800NZ2gIM9KRgASBIbS+KHOriMri9s1rRLRYzKoyD5kVBZd93dt5EYIIsB1/lEgpUmSdQxgnSKHret91viuqIWryMfTeV4NR8OHDD+9eu3IMwgBYVQPNfO/uA4gxt5Ux2uksd6asCmEJMYJQCHG+2gSfAsumrmfN5snF6srx3s1bL9756JOPHp399kcPSoCB1RzjB3cfCYAz8NJLLxakjAKKySDWXYsanQ2RFQIYo4zJnXOKlALLKRKjwS01ExVCjL0jyiV6iZnCwajMh1XvU/JBa42IhS0O93cJsO76Rb2JIZKmKwfjUTXa1N2qaSwyRW+jNZa4D73Ik9OLbLEajwbWmjYE6xwAEiCxwhQzVJpwYDUrszMZE1LmMiT19MkTY61zdja/MM5oEhCET+dZMGxnuhB82koJgozW5dblALB/fPTO++8d7+1fvXLl7oMHk8leVRUxxvVqOZlMdsfjR/c+UYRGKWHOjK4yd/vGlbPzixS9IWQNgpgZs677GFk7OhgUw+HEGFtVo9FkEljmDx85a7sYPcO2hf0wr5QiLxyjaEHfNk5b7ZK1pusjACdwLsu1rYyx2uQgmBUVEoJsxzJ0SnxuVEgxhl45M9QOjBMR3zEhFM5pUqR034ZB5pzC69duVNXg9PyijtEauzudeN9nOmcB0rbvfd2FRyFcO94RwChSltVqtXJKFU4/Xq+BiUUs06AaosuK3A6rijQ9evhwXFXa6MyZ+UYRZXrLBv7s8cODFbY7Yzt+CACMUcvVerNe3/M9Ih3uHSTfKYR333/75vG14XgcReqmLqyZjkpj1XQ0MEbHlFKKrU8c43A0yYrq/OJC2TwrKjT5/YdPUNs8y8mqH//KT7773nuz9Sa0LRMqwY3I0NDzr7xgjfXLeUhcrxbTQZZIZqt1ORl43ylSCkgbleUVmSovR846q7VCZmBE6NteADabVabsLEYQgNArnbGi8SAzQIqIADTa6bQEJGGpisKHOB0Nd0ArrTPruhjOF+vlarU7LMfT2xfLi029eXq+YlCaFEJcbVabukHCtmuAsWcxTivnSCmFqLXu+369Xo1HVVmUAhKR+hi1cLwcA4EEQPQZmQMUXAK0z7YCAKmz8wvZcroIIkeJsF4srdDB7uTJo0fdZuM7PyzyqqwIOcucU8TJl5nNM9PnKWmrmW7fHAESm8pk1XPPvXj35KRet13fC8jFbDYdj7+9XI4JWIEVMFrfuHnr6vEVy+n9b3591q2Tp+F4GH0/n6+sJVPkXYr7N188vHILUlRktNbWZcZaQo6pT9DnvpzNT01uODAHIWuRZWAdgRIBDkkZrQB0iKSssdleUW3qLgADgjZGO+uy7Gj/EATqzrPIxppNjXXT3Hn/zFnlrAHgLMMqmOk4X2263qNWZJAQQQD7vvd97713mQuSgFNeZrO60YQoANsBhQgRgbbkgW1zH8qnbZcAhIv5bLVeEaDSigDXq3WMySoaDKpmUzd106xrQb2zf1xOhigpG+2sl+fETmeFVq5ELKvRcLpb93G5qiM50XlRDiY7+x8/ftwFXiwubj13Y7QYdhj6TbParATxZ//w73/jS2+sLuZ+02KKVkiiXz84Ge1NNOrYRzssBSGzeR9ikWWk1GDvqLA2+i6FTiQIap2Vqhi0q7nSFlaNBkSOojgJkIYUfLepLWrvbJFBVZQ7w9Eoq7zvu+A9ogEgTSolJsqcCSFdvXplf2d878G9eeh810bfi6TgW05dnum6g37ToDG7V45Wmw0p8j4Yo/b397quzbKsF8ky1/le2+2sye1cP+b4jDgNArQtlQpdtkUyrBcr5qit0agXs4VWYJQhTZbUg/sPz59eXL1+LXNoXMYmGwyHXTVY9DLYmTrp8nyY53nmHIcwnQ6nO7uonY9wsarn6zYzzuQqhBAgEcQXbl1FVI9PH2cuA+Su981m5et6Z3/nYFDMLmaL+XlVDvIyM1pnupju7mHUD+8/eOO1LzNBkVUASblMlE4QEKyCTJR0rSemDJTuSaL42EaJXReSgDVKOdW0fezT/GL+4Z07h4eHRwcHxhinSElUDIikXFZpp6ylPP/k7iq0jdV6M28Q2XvPIHXTojBIYMXDQa4NJgTPkROMRmPmRIpSSsPxiJkPm067Z1XjbZSCHAEBAaNIFEG+dAQI0MQozICIzPV6udmsJqNJCmJLd/b4tF53RESKquEoKRe1WwaRpiOiNRspdzAbHT532+Wd8l1usrrtZ7NNFC8AeW52dkens4XRUlhb93WWZdapz7/5at+3QvL2O281i5nTZtdYYkkpKGv61JNHl2VZmU9Go0k5urJ3bLWt8oG1FWDyoXNkN37BDBGhmOy89/YH9VmtGJVDD9Bv+rrrVn2LhC7LREgbE3UaDwZtXT99+vTs5KyoivF0XA5G4/GOUUApIYWu8+KbndEwXL3W1Ovc8OnJWcMJObXdKgbyMSFAVQ0F2DidZ7mxWhkd2zAeDp2z88XidLHa2dnRzhkRiTElYWctgBNmBtaJk0SWS4ZfEmnqejt8dbGordVKGwDSxnS9Pz9v+gSD3AyGw8nu3q0XXk6STmYXi8C3X3pjd3rw8q1XN6u5c6bhlEr3NDQ3b98or5tHH3+kE1ZZMQAM8MnZ2Ym1+LnXXkXFPnoWaX1LKQSJYlln0KTGDqQ+78DRJnW5LgbD4dHR0Wi8Y4pclIohlocDl2WgteXMd03WuKBM3W4yl/Vdjx2gRp3o/OlZq1AUEVISiULeuGJnYgmnR9eVJM2CITS+U0ix7zn55FllJAl9SkobBNgbDtaULO5tZst5c1Z7n2Jqog8JMEFeZZy4yDKXZdseeeY4qqoQo9b06PGT1/f39eX4UK0BgGOKnDgpAhRSFqyAbEfxMSelFIOEkLyPiDId71VVOTs700r7CD3A0Jjvvf/Rv/H7f+bzX/6yAFx9/pagnJzMYuCjqzdN9pJkCrPw9ju/R8s0Orgynhxe/8KPgirWn9x9+ODjydHR9eePT54++fjeR/P57Omjh81mc7w/OrxytG7a84tzpeKjT+6BwsmXb7Zni0FWmay49urzGpCcFUUI1HufJDIAcUIECL0CrnS+AlitGyvWYx+btNmsSJk+BU1CtuyQdTUIoJqQxodHk/3dGCKLUEyTGBcX5+um3jx8dLC3C6Rdpvq6RWy1NRpFI2lS40HWtCPYbHwIjW8BuRpkMSYinee5UjbPFKdEhNaZzreItLMzscpo7z0AaEQyBhUZRWC28z4gSkgRjNKiQEScqkPTe4bYwe5k7JwNIfRdnDeNtTSwmkGcsYdXruxdvbLa1A8en5wsZ2+89qbTmXLGR8aYMEokvXN8TY/GgchfNMZx5sqda1cPspv5UfXrD9+avrr3pes//sGd9zDxw/fvprat9ifXXr7hbk1+bJA9+PY7j7/74Wazee0nvpRl+fjaDQ3KbWg9q4+vHDvUJi+AQJARhA17Dn1oUJnZ0/PQxmXT+ZaNMVjkzWa9aSThWlelGg2T8PnF4jyl9548vX6wd31nP3fGZfmN4bjz/Wo5Pzk718u1NbocjZTWCpOADHOXa1By1PTd+XJpjMlcwNZbbVLXmdG4qrLtRCXfd0f70+1QijzPD3b2tdL6kuUJEH18NrsTNRnSYOSyz1sE6q7tfdwOEBsMdDUo67oHka7txpPpYDCazy7my9VzL7/kSZMr89zBZtOcPIqAimHd9kU+3Pg5svRd2ptOIIJAjI1vZvVsuawOh0u/OfDu9z58S43Ub3zyjcnuHtR89er+1XKyTO3S108WyxH6w5duj24dL776W3dsPTZQdqvXbr5GYKqUisEOAdQ9liEE7lNKgjFsC7gokRIWzk4rPmsT0dni4nS9Mju7CpHKwX/za183WhHi5159/rXnrj88v5hvut3RYFxWkyzLAYzWoNRisXB51sR+WI0ILIogUYx+020m0/F4sTJ918aosFXWCghwIkKtiEgtmnpw49iHThtqm95am2LUWpuUmDlejq4F2E4r4AAKEQg0KdK63tSL1SL4VI1GCRgR+7bzMSqXccJyMCpHQ374cF7XXlHdNmZYsTZXX3wpG48HaohJSKv1bB05GlUUtlyfd1b7TKrZaklKEao2tt96/9GCutSHwlXYrXSv3p+dvI+nZTEKqn0Snq4erZtuMR0M9W7Z+D5TxVvNk69/96Sg/Lmrt760uzsW/XR1ummb9eK8ss5hcC4hJauyan/Sf/8uGZtdyR+fz20+PhxV0WauKPKDgz85nf79X/kNQfiN77z31e+8N8zs3s7kjVtXfubLX4553gkaV073dFZUm80y9n4RztolWqeN1koDRlYCmijFtO46ItGKCEFYCEARxJSEQ+raBJBl9u75fHpwrI3VSimlNKJLibe0VmFhYKUuJxT6FCAGpbQw2cwSqdFgenq6eHq63D+YMick5TkyqOPnbu8cHY329+exv7F7ZU2xjHkbwm5RCGArvTJus2xB0JpsuTxNttzZHXX1w9HhyJF+6xtvPfUnGDEit6Zfn5+M9P6bt15fzGepj7PQXrSbJMAjsyBvSNX94pOLxVCXYz3EQRZL9ziv39s0n5x9MGYNTTNI2uoUuK8qk1lUh0O8Ob54eBYWzSZ208loVFTT4+Oj27fvPT1ptj2qCJbAWVh3fv3o5PzRyez0ZFwNv/Taa7eOrwzzbGRUH7u+qZP3pBUpjqnvlt1muVx0nSYIIYYEucuMVQkwzx2wlGXuu85ljplJYUy8XK2srQ6PjrQZlOBDTFEBCaGCy6HHHGOUiAAIJADkTF7k0KpNXVtXLFcrbcAYrVRWDsZAerQ34Zj2Dg6Obt2crZe/+73voTM7w3Fo1levqWa54RBRqRBi4cq+DoN8okSnkOpNc3V4vNls/Ka7mJ0mChTw+PDq0d5xqcewUQAuIrz/wd39F6YNb0SANfQc9TgvZKB6Unp4/ZVXDm+9JAqpDZvQPV5drNYr1q3R6Xa++1KxGxWcQb/7+u3vnTxSQ2h7lHE292198oidUzYDQofQCohACpAQcsL9nWq8swfe3/n449CH11+8TYC5K/q2AUkhRKuylGLyPRLVXZdiiixOkckK0LplqKqMJU2Gg/vrZZlb33fD8ajteku669rRaKgzV4COPsWUIgBghBQCp6iM3gqDRUIM0gkgCpKxWWARhEE+UDZbLJfT4yuQQGv70hde/4mf+wNU2AcPznJjlNXZdOB0dtrOyrJ0bNMmdSGNx4VWJurINZ+enWU2c+i+dudrJLRu12J55AZ/6Y/9q0+fnGZ6BIHyl4aPZ0/PutMVz9kIimWKXd9btBHDTnH08u7Lag1fmHzuYnH63ea0VbTGGHMyoIHjw3TxdDbLUN+8+rxbtsa5ru8OXrhZlINBVKHrv//e969fvV0Y+yd/7md/+/e+e//sIibYzfCN11557cUXUh9O7t+bLRZ33v7+b/y6eeH2jatH+3uTsTFKBLquQ+KQOKYkKa2brm42wAzWIpEGUYi7O+PBcED3Y661921ZFrPFOjKvzs/6vtdKqQTgtHlGG2NKmuO2dY05MYWESiehqhrV/UwhsjALmzKXBEAKkPZvHL/25ptqkNvpUCl6fHFet827H9+Z7E5/9vd95fnrz71wdLsoi853qnTlYKBVVhrzwd07eZ7vX9nVWn/7+28h0eFg/ws//YU8Lx3ZzXpz6/glMFg3/njv6MuvfvFXvvarC1lmlc2c1Vq4lkVY/cEv/dzrh6+3fYse5mfz+vFiPw0CLINRnZKlb5QEG6EAI4omR/t//i//Gzm6O197ezlbzu+dG5PvjsYPP7kzKMcl0U++9vK9J485MhDvTybjwTDfsSr4ux9/bIyJnBTKbLHo6s10WGkDCjCEdtv2lJflsvExSPSxW8yUscVwigCT8diSSsEbA8PhKHfWd6Ftu7Ztq6LS2jmNKDExR2QiZq0MOkwppRi3nSax9SElZXQUsco1TSDUxtrACYECyrLffPPt3/uxP/QzdlhsQv/cq8/96m/8ZrkzXLf1pm3uPb1/cGVvfjFfna8YgLT2Xb9YL1ShpvsT62jTrbWopPzzzz23P9o72j+GLu7j7jd/5as3X3ohL4Y7RzsvvvTS9dvX/8bf++sNrDNxB9N9r5giKNaDYlBi8ej+wxt7N/723/mvx/tTQtEWHJEpxidnj7yiFuPvffDewWh/rxpPzSAblPWq9uA1o0ppkBcFqsgyzYrR1WuIWAe/Mxi1Fxezrg19z6HPMtvV9ffufHCwM37p9o1E4pCYGUmK8bBr49CYwPThkxMBCCEqm1tnlaLFbNFt6v39vfOnj3ZuTBXIZrWuimJvZzeGXhurOaWkScm2SxgkCacoIEQWABCx57YcDGeLeZ45Ad0tVwCgrdksV2yw7eqdYn80mWhr8/Hg5HTFFh4351evHA1x+DvvfXXsBjevXdupJsvlyhi1aJbf/M2vvvHS55w2RZkvu/mDh/e6sL568+obL796dHS8OF8u275f9pGT9holPn7vweT27oP13WExqNeNjTauRPfq2vT6brFzvH9cQDW7OL/z4buc0no9A4tt2NixRkFOgkyk8l70vQezZdVN3frm7vEXn3vh5q3n737j+8v+YmjycV6FtiOgRYsRpcisBYjJ74/LplZ47Xg8rABgdnGm2NvcoSbjClKsMBcAUOIII9dt44XQRy4Gilg2i/XB3o6xtm1XXduFPlxcLKrBaL56evX5Kyl6rYwllTQICCQR9pFRlDHKmO1E3857YMjzyp9f2KzYbGpBLIZDQbRFhlbFGHWe7V85fOG1F1Shni5PlouV0aqVHiSwYzVS908e7Ozsjo+mlXars6UwFIPSGm3G+u/+9f8WCUlrZ93+ZHd1Nvu9r3/rx9788SuHV7946wvLZc+E6KIkuXLtyr/7F/69/+HX/tvvfu/bRYmg7cF4/8bBrXpVb/r24cP7H9790GZZ0K1RylYOOArBwc7Rc7df4s7MVvOHd+7XdbhxdHzz9S/ryIPRwe0rt83aP75/b3Y+e3rnHnbpcDA2mkBJVrlFWwNynrvXXn/OaKNNtlqt+2ZVZQ6BJfi+XSnSilSAuGqa+WrlnF21fYhbymfI80w8A8VmsSyzTAE0PsUQ2ro+Pj4GQM2ApAwCCrARYaVARJiZIaUkCUmbbKDReiLibaRKlA+GQsrm7vHs7HhQWGtf/7E3jm/edMo8OT85m13YsRsfjurlBQdFSv3yP/nl09PTn/7ST1T5UCV84ytf3D2anDw9+bXf+pWQ4vx8Zp39w3/4DzZ13ayawmSDopzYAlgK657MluMr07wcfv/s286avdFeZjO/Spri04/Pb//Ui02z9r1/8ujR53/siz/3537uw7M7F6vTp8uHT2dPP7zzPggc7DfTwaFZ1aPh3pMHT3/sSz9lM6fqrovwhBZff/+rn3/5pWzXTqt4RKPNYtU2db9ps8xeq7LBeJwggEZO7KpBURS5vaqN9PWmb5rlDBVhEslUOp0tl+tGa0065RpTSAA0GY1iTKrn2Pd5lqUQQ8Pz2SLPMo20aTp98+qNpmm6vu18H2NE3I4VTMSsjQaQ1HXEojQLgA8xCmhrtCYW9inU681P/6GfvnL96utf+rwaVcv1mqws/HKwW6FGVslYG6HXxhS2mM0Xk2yyd2X33r2Pf+m3f3lxfj6fnYY+2Eq9+upLy9Uqdl23aQ8ODp2xVA36VccpbpbrYneqFv0r+y+//+jdGzs3Xvvzn3ty//H57HxX7xEgiUaEP/rH/9jvfvK7fMqCcuW5q9M4ulJf3WxWy8V6OV//zI///PJw83j3ycm9Xz0+usYRhpPR/fOPv/Zr/2DdtDh0G+qXN0x+c7T4eK1nTre6siOuvU9Ra2WN5sQ741EQkdgrYGsdCI2mokl1vceuK4aDYjD2Ceuw7HywNtekLs5mee72d0bCUpWVMK/qNQWeDocppqZea0Aoy3I7aQYANvVmuV4yI1/etwa1EipoebLRWRYWa5bLGcghdHXfDMblC6+9Uo1KyNQGFr/z0dfm9Wwlm9Jmdb9yA4ued7O9eblczRffevp7v738rfFwMN2pIPGTs0fW0O6VnVs3bmlP7779znIx+1f+/L+1On2gwYJWzabpG1/mVWEdKSSk1bJ++uQRCL3+8qu3p88N7XB2sqiKQnR6cPJ4vrr45MkHp/Xp2/e/W46y27eeDykVeeVM9dV/+rU//TP/Etb48guvbNYbA6rP1Go5+/j+3eFk+O75w4U/H5SmajZr7MyuGg6mO7de2jxZdHfPw9pfv/mcIhND7GbLzGhCHBQ5SKyXrq43EIKxtigHO7u7gHrZ+bb2KXJdt+jiwd602WxUIoPYbBq/6YHw+PhK9L5rWh1S2Fa8FCmtdFmUZVFu2zp7389Xc2jFGXNxdpEp5UOLpA1pACCjMuMoqv2D3fHx7sn547O4euejd0lrQGm7DQizBNuqf/3f/N/75O+89Z5T+Sd37nTd5nx5niSoSutMT/cnIOn09Nwpd7B3tZ6dQEIwCOyz3BBiGyMIokbx8tqt1w4GO8t6HVn2yunOYKhI+Yhvvfvt7937diPrjZ0RmXKQLxazr37tq/Vmczi5sgNWZcoaNz+ff/7FN3fL3e9853t5lW3qzcHevq1MW7esolf40erROi4y1NOeRrOzIhl9OIkjWGWZFWW0s0VC7hURafStR22r0Tiggi4AtmVRfHT3gVU2K4rNem1bw7kVn2IbrDah57rxAJBneTUs22bTtK1edmtE0qi0Ii1Gbaf/IWilirzIbXaSnm42m8Lq83rDCQSSGWSkZblcvvojbxpNy9WszyJQ5pHn81lHLJYjQOV09DCpRhp0W7d7k/0Xjp//1le/ypz298ZdKxm4lOJkd+pb/8mjhz/5pa/cuHYziSSWTb3ofDueHCweLncOR8ORXcYAIXEShWp3dACJCl2gqJREhH/tN36F9tAO9KJZutINdibDg/HZk7MszwoqrVgn2em9J5977nMKVLNuhNl33fxioSgHib7tUsZd2xury3IQmpaQ3j+5BzWN9Ogo3+uFDZiepdw77Ou1IURMGVpS69jHIufl8rSPaWdvT9uHOerFqo4hZtYKy9n52d54kBi7dbuqN1k1zoyJPnR9WNcbHTgSKREOjOJ7IrJKK6SQSCNZlW0HbQ6r6v79+8PCMilb5aH35WSwe7D3whsvtdIv5ye2HIUQpjvDRWpWvgEAa7NKqSvu6OGTh7hBQpWbbDVfucqcPjm79eK1JNV8Mdu0zd3371VFURTl/v5+kZV93XR9K0mF6Ps+HhxUvg+z+UU5yjbL5eNHZ7nLh8OhGStm7H1Xd92f+oU/8//9vb/XpJqF2XJd174P1XA0zEc7sH9zfPP3vfnjpFCJ3Wxq3/vXXnrtb/2tv1HHWpNmiSH5rvZh0w93SmsNiH7w6ElGWWXKlNgMixbg8298ab1crJ6eoLKCrIxD5QbVeDW7yEQVlR/1Mp8vysw9uLhIfZ9iaJcLyXIaj0lRDGE7drQsStS6731dt5vlRvsUIcXtXC9LWovuot8OwFOIV/aGo9Fws15v5svMZh6EFWiteq0//6XP33zl+XxvyCI9xNg3T+enKfZFlS+7dYqpl7bbpPFLb3RtBysoTPHWN95SbK7fvHo6e3r1xtXpzsSAcSZ7+P7J5195fX/veH3WwFgTISBuumbddFduPReFmtAiCDm1u7d/eHA4zPOLiyUCtKteDyhTBjpY1HOxzAq75JUil1lArGjgmvzR3Sd8E9yoLHNn0N15/728zO7ffzi5MnbG1Slq6wxF4RQ8+77Ntblx4/jq9OrJk6erp/X3zt95+YVXI0r0nJhVkd/96N6gKnaGeSbbqaNuXA1n5xdtvZlW1duLGSmjAZu6298rizIjUHW9BAGrDGmNiCnEGJJPnnRmTGaU0SDgU2xCt/1J7I1zAKoajTZt76pqd2dnUJbOOQB4+OTJ7uEhaeq596UyOyWg2vQtIKGBw8nu3mBMCSjivjvw627kxiM3rDdrTvzK66/98T/xJ6py8E9+7Tf7ziPC9YMbrz7/RuWGB0e3Y0TW2lVln5JyGZAIADk92R8rrd67895mtQICCiZ1aLXyEjz6p/Xjuq5r3rBERGBWzmRW2dNH51989cuvvvBq13VGFEWVodsb78Y+McP7735w//7d9Xx5ScNRrll3p09Ol/NN13VFUVy/cvPK9Rvjg4Mbt15Yt73JyqcXq2+/c+f3vvtdZ01Xx9mqC6AS6iBCmrqmTbG/tjMV3/imq6OMR0MSaNqOWURRMRhpxMsZ6MjMrPNBxcwcU4xRYgIRYWBOjfdXrg69DwrRWeuyrOnazA6Yu5Y9RvzSF390E1YPF6dZZlXEBKyVctY2m65uWooCCKN8sDfYz5XdG+0uz9ZH+1f/1B/9Uy8+d/tb3//m2eokhuBU7tdy4/g5AZPZEhCWs3kOeUrpYj0/HgyjZWbxvmNg8dL27ab2T58sKYBzlrUooDXX/+h3fnHVLFSGypDzWTUoFicbjTSoBs8fv5CrYkClEMwuLoRQa3Pr5q3/01/9D0/mJ3fuvvfoycN7s7ur1UplypAVQQX67Gz+ZHS+N9i9ffvF+qLTxnYxAbrnXnujGHzSNM0/+Z3fffO556tBdbAzrc8vVsu1s5VRKnOuGFTq/DQxF4rm9WL3YOf8YrbeLCb7h/mgEhJJEmNq2s5ooxFJaVJGWXDCEEKQlDgl5Ywwsk8+psl0x8d0sVht2RIk6srx1Zeuvfj+w4+mmSw3DRlMPZRYna3ORQSjQGAVUEPx3sdv/5mv/EtKqdPN6cufe25RL9757jtvv/vOvD2vimGRDblOlGsQxET1sp5MDx8v79vcKWvAKNBAyLNmoRlnZ/PZfPbmy5/TYABFAPLKJDL/8f/rP9r0K7KSIoPl9WJZL5bLR83Vq1d//qf+RGHKoS0oqS6G5WrdNvX5/OLHfuJH265z1t26cevw+vHN5fVH54+/+dbXgOBo58awykMfL85nBRVfee3lwYvD9+58UpZDo6z4bv/46tVr16dlmVu3OHkK0SvSHz28HxHQGJ/Cpq3zIr+/apySvosmd4vVcr5aTQ+PL9az8XCsje05BkzWOZ0EYUsFRQBkYzWABoQU0uOzk+lgWlbFK4fHn/z9X9rUjQAg02Q0/ZHPf+Hrv/PN8upUkzZewwa0qKndfenVl+988n4IISudVrljl2Lc35nMVptqp9LGvnf3PcF4cnG2STNy+nRzup/tF6rYXHS2KkBJh23ow96No92jg9P1bMUb3/bMvGmbaly++eXPVYNKoqBJ0ce/84u/mA8zQgRJKkdlYL1cXTm4tlqtQwivXXn1Rnm90Hb+eFWOy9V6tV6vs9ztTHdEgEU0mWE+mRbKKjVbzLWyPgXuuTfMfTptL04enGZm93Dv8HB6VYF1tgCb141vY2iCZA7zckDAO7u7w72dd7/3vbrv3v7w42hMPhrjkxoApge72aAIKIPxqJdoQZksK6tqSJNv/eJbWVFo3yRlCCwCXI5YAwAFkGLoUwCgIi99iKPJeP39d6x1uStsPnzjzddPZrOjcnq4f23v8GAwKd/9+M6Hjz744qtf+tk3fwoTQeDz+RJIlHIthL5vR5OBCL79wTvamsmViQo8noyRsBc/vLpDvn33nff3R3t99CJ6s2yW3YYsDobDeTcLMeRFVppKJQKB1Pv5amWM/uTh+5vQXqTTcpqft2fI4IzO8gwaoRFeH98saeT7FH30bRiMBm/sfu4f/5NfnUwmn3z40cG1Xa2NciTCRzuH+9Pd11773L0Hn7x75+3z+VmPUaEVK//0q7/5L//p/2k2GJ08mKtxhihZPmzmT8vJsSkrM5jEet3MZzExAly//dzw6Ltf/+W3naMiB5eDHVaPzs/rthuPB4qUM5k2mCQhAwtv1muNCZg5dgmJSCEpUhpZ43rRVlnZ+Z5Q120tDHXdTnYOXJaZvPjiGz+6e3gwazY6N/moTEq+8vqPf/nVLzZ9XZjCKCUKJke7EWK92ZycPEpJiqx67/57J6cXw/2cnbe5++ZHv/N7977x+7/yU7vZvlkXWSyLUf5Pf+e3gHn+nTla5TnUbROjPz48fvPlz+1c37Nge2hISCCdnJ+i0vfvf+ynjVpRPrACoNAsn86dz65Mr1RZRUzJS1aV5bRCzbEPTde+9etvkcY33njjJ3/2JwhRAVqwd59+fNHOMptv6lqBNojDabm82ISuu3pwq930xwdXxoNseb6yhWmbIbDebBqIQTG3fe9Bfe7Hf+qTjz+4+dyLe0fvzGZnrEDlec9pOa/F6iA4GI4UEBmtSJ+dXRijEVGjEIgo0Nu7nsSYQgfbdkuHejvfa73aLJar3Z29cjAAorwoPrn/cQ9psrNntHVsEYgA1+tukBfIuiC3Wq3vPfp4/+phXTfeBx/TeHd6VO7/2V/4k7/y27/MEhOn8f5OVWaLZtGF9vzBPEH8e3/nvznOrzDTcrXc+GZ8bQcyPHl4uq5Xq/n8zp07f+TH/7BTOfeREGte/eRP/74Pzr7X25SSkEhpyxxyJPyTP/tnVrPNzf3rOztTDsm3IaXonFID9y//j37ho/sf9d7Pzi8y64R5vVi/+/AOmxi6budo+r/48//ub337N7/33rcRKQUZVZNvvvV71w5vDQ9HINj74H14590PXnj++Wa+9D62i4V1pVWm9V6AhrvTn/65P/T//Gt/+2CnGO+P6rbr+7YYZA5skZVoBBNkZXF+8f5gNAp9r5tVrbTS1pLaznUhAKAEA1d1bbuT7SHibLE8u7jIK1eVRVD4wSfv/x//yl/9a3/zb4qkrm1j4m988+vnp2fPvfjCczduWVRPFyff+M7Xb73+UrPebNqVMSYb5Am6NvhqWAXvbWktucyVC396sT4jQrSAnbLWLf2FKEdDbPsgzUoLMPD54nyaV7PFaQ/t5mItPWw2q+Fudf/JPbDCzLPlyfzu2b/+r/6la4PrH99/cOvGLT8K1Jmnjx7v7h+BxbPF6dknJ0dXjobVYFgNhpPxtatXz56cTUaTTz78RDmV22x3Mpoc7EUI+5O9a4fXv/X9b++ODhVn69Uyu5oL6s7D7t7ur/3qr+3v7fqQlNWZGSzO56J4dnaBEjzD62++meUFxLC7NxFFj8/Pl/P5uCpfvD5JnEpbIpFCdePm9fFicrG40Bp1TJHbDp7d8MQ6Q1pZZbNBNSyqdtN2vjk43g8xgYKP7n4cAN7/4N2jq0ef3P/4W9/93qOHjxbz+Ssvvn73o7v/6L//e8qzI/XWd751+42XitHgk0cfX33x9s/+3B++uvcTZ+sPT09Pvvv9t32oX/38S/u3DnCttEcAUIJEpIZKPDNLSKyQutB261ok+b7+fb/vy+tFbxDvPbx/tH+4uzfssU3SjSaV0RBSk+XWkrtx/drz+y+szlYT2smykQ+RNLZNs2mWPvRtaKmHfFAhgiNbFZWwzE4vdqbTNz//IyfnT5YX83ySa6sO9g9GeRX7cOXodt+0Bwc7yfcRonbFu+98/4//0Z8PPkAQAhyORsm3dz74gIS+8MXXn54+Us7dfvEaECzXawFwVg+KzBgTY8jzgrRGEEQaDMrRaKApcWky3t6WXFISaZt+mDkgFTj6vuv6noXJwsG1I2b5//zjv/sf/JW/8j8x/9qHj95/cPr069/63XE1/mt/479o22Z3PHn9pVef3z2Obfzgvfd+6Td+defqdP/48Gvvv/XX//bfsDo3jd15bi9wqMb5vfcffvLuvXV9weKv3bp29cYVAMjFuTzL87IOvjsLF6t5aNrMuRvPPW8ze+v6ZL4+Wa4erxcnV65eH+wMr125Ct/ls3tnh9cO+7b/6PvvH5lduNBlORxf3UOnBkUZYqxGpZ8F4ywZ8KHjlHQxcJAZ1I8+evTGc29kgyy2PoSQIC1PF88fP7+czQpXLtebq4c3rXNGoc4cJoYU/63/2f98PV/HPuS5wT4Z45RSv/Bn/tzjkyeb1YXVtmv7//W//5f/nf/lv//iC9dqv2FUVTm0ysQYjVaA2lj70gsvRuau7XS9qUE22mhjjFLaKg2IVjnmxAxd363WS1Lo8qzxzd0H9w6u7h/fPCiPRhtc3nn6zq+/9Y8zk//oH/jie2+/Z4J6cvbk+mDIEF967fbTzRNj9WqzvAj12XqhNCgwd799N8y99PIX/+2/2DTLsPAXy9PV0/m7v/P9z7328ld+8idJKZ1leWQn+uZo/8nZSRL50TffnEwGyqOECMAPHt7f2RvYNefD4vkbz4uIGCEvq5Pml/7Br12fPn88PRqqp6++cvi9d98ej4ajvYHVZrY4/+1/8Ju5dj/3M3+0oSbLi818pVFdvX29W9T9MhQp+2v/xX/287/wx68cH3S+7ztfZdV6OXvj5c9v21MSi3DMTXZ8PO776JQRlMePHpV5RsNKAYKgzYubt25//evfGA0zEalX67aJdEWFrncuI9Co1e7+HihSPmildFkYn2IK2zsH9CJCCgfVvg+CItwFQsVKtFKPL568e/+9P/An/8DejemT2awLp/cv7u7eGnQhXPDJ0av7T773CRXqpS/cXp6uvvf+u0WeGYM+9pmlz7/xyuls2TZ134Xp8cEX3vjC89ee+/jd90fD7Lnh9acnj3aujq8dXyuNu3p0zWq7WdUnyTzqnw5cEWM83D8qs0FW2bau29h88ODDB48efPFLX371zdd/+ss/3a76b7711vMvvXbanCJ3y+VGurOj/c2T86cbv37w/gP8JL7yxsuH1w/71N15+/227cTzQA/aRXPl6BgZFSurcbGsnZjF4/PN8dHzV26/9/YdSbhYnt84vr6o1yJiNPk2NaFzVQVJ9cx5rjjEqELXR2tcaFofgyb9jW98rSqrtunKzI2rUiOGGHZ3plF8pQoGMEC2yBFRI0qmNZjtbZ4kJLbWinBudF7lCrBdtZPp8MnsfLVZDMblS597eTQe/MOv/uo/+o1fOV+cH1456JetxTzaXqbBDeCXvvkP/u1/5d/Jx8V8sfo7//AXgejg6DAr8z/9p//s2dn5V7/6u4/vP75x7RokKCibDkYnjx49ev/eH/zKT776/AuEdO977+/u7WFR7A5G779z52J28f077/zI53+kcuXkYLKu10HTrZdf9H385NG9LY44GhzcvvGiMJAt5svuvSfv/W//8v9ux0yCJCQ8W56cLp68/+Cdn/0jP/vcC7d2h9O8zAvMJErf9YUeQAO2ykHk0ZPHRpm23dz74KPbL99ypHuWxWo+90uVkxKjEq77Zj1bPElPr1+9Qcx9HZC07/2juw8Xs1MkIKBBXoJnQyqGPjLv5gUk7qOU1YAYjHPIHDkEL4Cgdw/GMaYUk/ex67xFwhTaemONKcH5ECKEdtV+67tf9743I/d//k//o//8b41f/ZHX2rDWpQKNtSxavTKii90sNnU12Z3sly+bV54+PftzxZ/9L//r/+5//At/vuk6UXY0naBSfYgvvfR84fKwWpoA89mZRmWT/Or/8I8Gw2qyM+a5H493syobqxyr8cHuITP89u9+TUiuXb3+a1/9nesHhwe7h0+bk7c+eC/PsunO/mAw/a2v/u5wPN09PFbaHR8ed6frRZrnA9dSzc5HMIY0OfXcKzd11GEe+ro5mh5fdiIKgAZn9E/+yFf+w//rX/k//NX/4L0P31eKiCXL7T/93V/5Iz/9cwAJQT09e9iuusP9A2spNdytm3JQPfz4LmIKnKwiIuzbcLi7//Z3v51lmhhS2432912Wp5TywYhjvLiYKaWVJqstBWlJsXE0GGb7B5PxzhAACLdj9+VkdnJ+cVrXTdc3HcdZPX/xxdtBt9/93nfykTttnrx99y3IhRyJRJXBo5Mnxcg9np/51Bvrdnf2q6xwWFy/euOV51+cTEan86dRda9/+XU0QARKIYbw6u3b0sZmscTAftM9/eDh6UcPLu6efeH514+nh5rhf/O/+vcGoxEn+PjuJ2/fee/OowdvffzevbOnCUQQm675qd//U3/pX/sLX/nRL//Bn/6pP/7Hfn7ZzTsdemgYU92vwEoLq//kv/q/fPuDr8cUUIEAG9CDooQuQB+l5cV6/q3f+dqv/pNfxoRf/PLn3//o/UyZwbSMEvcPDgOHAHzRzFvu9q8e7O5PbGY2/cYVOXMyzvRdaxAVqlA3Z6dn8/lF23mnzLAoXGYV6SLPOIbJZKcaDgZFqbXiyHW90ZnNQgwiHCWAgCCSZWuV3d7TKUYffdf1uzu7tfRXjieY07uPPrSFaOtu3LjKyDFFzz22QVDK3fL61esglECuXbl+qs7/4l/4N4usKMdDa83333l3Fea//+d/orebi83Ttz/6znqxPhwOjvaOm81mc7EoD25MoNq7vjdbraaT6TAfWOWeu/XS3t6Vv/lf/q2jG1fvnjyyg+qT06c3BLRSXYov3b714vMvPnnyqG+60Wh47ejKYrGKbUManp49SEla3CgT2cRBHPSpHeh81awfnz2+MbqVSwECwALRf+ef/u7f/e//3ps//eabb3zuwcO7gzxb+z76UHfN3vH0rD2dlgfBd9VwQIpIm3XTgME+9m3wxbDKnWbugvfa6Hff/t57H9xbeLhht03khjlleUFKx77PyxKL3DFvh2nqyc6ObG8JF9Om2ayXm0GRjYZV9D6lnjBt5kt0alQML84eDRQBkgIajargU4iJXWSCtt5MsrHMIVDUttzbPUYhw6XCejgclrb44J33P374ybfe+cZzLz336msvm8L8d7/0X3Xn62sHx8+98rkvPff5x+/ee+nWi1f3r3KKwcfkAyVZnJzFunvl+Rd/8dd/+c77H5zWm/HBpHBDQDitlzevXC13x01bPz196pQZlDkHfnTng+dfeX4V6vW67dr6g6fvB9WJJluQKQYXq9Nf/94/PigPyFinnEaXfJCW/x//+f99sTnPinwyGt144frjkzOypu03bdNlw7LnmOucQJq2K6wL4iOi1qgzGzd9SD5JUEbqRaMBlMuenDzt6vlergGocKa0br1ev7qzA5eT3FGJXE6PRdDr8wVpbXNrM7db5M2qVYBd1zfrjbF6tVw+fPBoFRrQdNovceJa7nerPURqYxtT5CaQUjt6QmikITT9qJgeHzw/v5h1G//c7Ze++857Z6fzt995//7pXZ3pyc74P/q//Sf/6f/7P3v9hWth5Z+/eduWdndvZ/7+/6+n8wqSLEsP8n/s9ekzy5uuqvZuTE/3eLvDmoFdhAjFrhYRCw8g3AsRIlAADwIiCB4ggMAIEEI4IbRIK7RGM7tiNH6me7qn3bSvri6flVmV7npzDA85w9uNuG/3P+ae//z/97UPL64szi50er3RyOfY7A4GOCCEksXFxaWFZSD8k8+vePWywQzGjTTrvvDyyzbnhibBYAQqGw799bVHrampwydWarVyL+wM1L5RYQwhoQrEEEIyScIH7fuVubLFcRxHP33zZ0HXX55funr52uSRxsmTZw3LOXr6+EHakwowp4xatUqj6VaHgR+goDHb3FrbMZmZ5EnVcakyrIrhB0OCqEoLrTTmKAzCQknP87TMxwLzMb/ZMA0CmGCmMf5SV6ABgOapREimUQpac9vAWue5yNJ0b6/jOO7AD6teqb19oEDnSJxePv2ouzlIhlGcW5bFKE1FFKchEBcBY9o4tfx0s7TU6w+IMgCEQR3Pq2ztbe5sbitbFzRt93fPv3o6CUaFzIBrzXUMiULSrVVcwzFNc3J2xqjXRJF3DvYHvWBqeakI5eLC8iiJq+VKIcACorVGmpicuY5XdmydZm/+3u/nWWYjY7C/1x1tXt/83G1WGs16pVX1Wnaagx/6NafCck4Bx3nYcJqMwRNPn7nyyc0//vBtb8I9dOTQ5MIkprC4snjj/Tthlnb3g6WVpaXZRYJpGsdxFCOgcRKsrz10vNKfOv+6YkKkOTetIg6jNNaUAkOD0QAwwhRjTLWSRV4YXmV6dsbhRi4wofgLj824FxvGObjxZNAoi3KCSGe/SyixbU9pnSRJIRXWcPbJc/NHVzJSRFFIECYFGTOATWSHaaxybBOnarWee/IV1/SSoDg0N1eUodPtEoLev/JxHKeHjs6GwwPCDEKRWTMcTOtT1TvrN3/u+T9bZLlX9zprnV5/ePrZC/3tdpwVhPP+KKgXavX2g+ps68KTF8Awrly7HBRD7lmcc4YwRVrkOdEiTmKqwXT4ftDdWd/hFru3cf32I1yb8jJUTLQmpyenoFw1iIEKdHfz3tnlx/UQHM/+87/07T//vW8D1uGok+CsXqrvq723P3zn2LHTzKCTramV2cMqU5+89f7j55+yPFeJ4tLlT0xuSZXXq5VDk4dqrYpIDU5RGPgqT7oH+512Gxs8HvgmYwRzxmir2cSEaKHyPCOUEEQBAGFECKYKijHjAxBWQidJQg1OgQghBqNhu72fi5xKThEBpikiVaOWFFGa5UUusIexovP1hdFm8mdf+fa5o8+61K216kWe9/shZSwMwjhNLl/9tDnZ6PSYbZdTEiRJQiwRBDGSKAtjbemdvT2U6tmjhxDgLMuwyVRGTaP8zW99a6vbyVWRBnFjYeqbr371Gy/9qd/+we+s720dPXkENAGhszxFiEZhULHdXCSIKdMzwjwxbBMzOBjuJ2ksdDoY7ksh6madpLxuN13XRQqnOFtfuzExMY04QhiPwsEo6z/sr9Wmy950ddapTMzM3F+9F4ehAF1zXKllyaCujewSjeJhrVzOSJ7JHsZioAfdQZsXpFwtb7S3v1CnKlWvVqvlslfylNIYIaW0ykQBAiEAjCghVElFMFIIIaTjNPb9QCqBqJUXcjT0scIMG8pAd27cieLMqXsVZt+7d4eXbc2hyRsHvf2Z5tyFlxZefuKrnlMOduJRJ0ZcI0RymTdnWl6z9Cu/8nduP7y+F+8izJFpIaWFSN2yF3aH/SxpzEzOG7N5UnDl+FHSG3SLvDAd27FtTIhlWxxbSqn1ew+rrVqmxFSjdevm1VOH/rQMMgmwtrb29h/9OEpjLQupS8Qihs0Ey0q5ExR+IQpMSZHlo0x8+O4HJrFnnJlGtfmPbv3aX/vFv4UyjRhGGBTJFZcet649uHJna41zQ1t4O9j97Mc3lJ/VvWo4Gtab9Sgf+clAYylB3e/cutm9VlyRrerEocb8Qnn685vXC1GcWF7KRc6Y4ZbLOI6OHTkiioJSqqRWWqVJDBgTjDHGFFghJU3zjGBMCCGYFEJGYcgNU+lid3dnGISUMyWlSMRuZ+/R6nptpjU9P+uBSxIMAqOgmG5MfPXZr1u2M12dCYOUmQYiIHGBAOci+98/+oOlQ4unjh9vTNfeufizjd1113TCwjcty7Hs2kx1dnrxB//nh3/9239VIgwGunXtwaFjx02wSnbZ5Bwb5kJpYRj4/eFIZEW33a22qk+dfNzmRqte10iD1HmcvPTqS2EQ9Np7B72OIHLQGQY6Ao4AaYKgUq6WSl44CIdJ6MtA9TfaD3dmSgu/9T9/41uv/5xl2tv+5srhY+39dT8bdXuddm87UXJ095pXqkVpGPp+pVyeP7GsHJXo/NbmLWqjGPeUa0IOQeKPdkdXbl4usuzCypkqqm5sbxqOxYQGxqySW6nV8iKPooBgswCFEP5CZShllucYIZomybgzklEmCtE92DcNy7HtLEm0UoxSADQYDtKsIJxgRGQhnj13QSE8HPajPH7p+ddOLJ1gyB7lQ5HzsYlMqGy3290bdp5/+qVU+IDxiWMn55dmhsHw8rWPL9+7GPaCsB9P1RvhcHhkcnk/Hu5v7GuA577y4qAfcsIt03Cd8kH3AGntOeV6hYBSu3t7G7fXJg/NLB9a1Lnwyg4l+Myp43vdPYLxzETr0mcXu4M2JdTQxA9jx7NN15RaFblEmjDMSK79IH7t3KsVXAmjcDQa7HS27q/e2/rP//rshZOGYb77ybsrjx+jSRopEFhKIs2G1VO9Y4vHB/FIIf1wf93wrHKr7KfDBBVmw9AUYVPryEEEU4b2/N7px06/+6O3ZlrN1uSk1kpJFRcpdxBIDFj9f4ENwVQTTaM4powxSjWgIPD94ZCUiV9IxjhHKMkyjSDLCkxBK7XX3tvd6/SGg5WjR4hBS24Jpbpku9wqARgpJ4ywkT/aWN2N8vjYiaOLi7Ptvd3xhoNttLG1XnaqJVwL85hSkqQFZuxB+1H3J//rO9/8riFNyqhbseveBBDY2+64li3yHCHEGJ1sTtUrjdWNB92tzuTC5OzkfJANAaFSpdKamFjbfBjFUXd/n3BQGDW9KgtZkWlOEbGMwI8s7CwcOrSz3g5VVKvUJt0pjPDa9vrv/s5vHz5xOMvyBw/vmq752JNnCpwLj2OEiEUUmHkqoCCWYyRcYaDPvP7So7W1YdDDBCksCYCSwDnhyAh1UIyS9Y0NkQkEaLJVr9crDzfWZqcnKSZaKfQlmmzMPpGQg8IUIZxnaZ6BZ1fa7Y6UX/wVAUEiU1JooRTnpihQlCRpLiXSluOO/NHjT54b+qNHj7ac0tWjJx9fmD8CJeP2ndsMseZEc9ZwTU4HnZgjT0KKOTi09vLTr8dxuLx0+L2Lbz/YvC+VIIwpA/ki/OG7P3759GsTDWkY1vbutuuUOOfVWuUnb/40z4u5qfnDK8tEy4XZeanEdLPFgTiGm8tke2Pr2uc3DgZ7jVYDkCYSxaMo2C+AglurCZ2VjCotDJ1DMdJVXm+5k1WvJqQ2Mc3y9LPPPjt2+ghg8d57700vTs3LxYm5ScIxy0UwOjC4AxaNVXxl7dqLkyWqiGuW/HAkqVIaB4FvMgNrgjDGmY4hjg+KJE5Fmi4fX6HcyPOcIIwxllohkVFCvwRija2jAKCoYztSKiGlYbBOu8M5VQgrKeM0VVJgjKMgKIRACtdrrTiNt/aGH3xww3HJwcHwsXNPaIzu37+/ubdXrV98/PFnvbKBtUmZEQdxozGTpXmWJxqsvd02wunkYg00KrveM088d/vebY10IP3KRCkKwxt3PmcBRb5uTkyapstNHkfp2u5OJqTWOityiXWuAVMDU+q4nkLatZ0bdx7ce3gvzZLddnt7c4tqVanVZhqzPb8/8IcQK5t64kA3Ki1tkCgNMaEiEtFB/vILz6yvrmVZ+qu/+qthMnp09UESxVubG0HWf3jfOHL8GHUdwzaRVq7nuSU3ybIrd6+fPnSyatVjlGHQRZYqJZGGLEmxBBd7SOokTZjJ4/2BpBDEfs1qcIsVoBlSgKjSGiGJvrRuAyAATMulCgCkeeqP/FxkjuMpVWit8kJorTg3QWvLsJOsQAhhRCkBwnCWyqtX7jx+/nx/MBwFAz+PX3j+Na2VU2H12mQcx70upEWCEeGUA8BMa06D0KnUCs9NLC7PH9FM/d4Pf1dEKSaUEOKV7K7f2R/uVxqNqm0yzhqlcprmMwP/2uVrAoi4A5VSxbOtsldWEgqZgSTvvv1uZbKstKaInDp76o0Xv2Jxs9fbH4yGjWqrXK1ev3/70+uXa5WGaXkcc9tye53u88+9UC5VsSb1ai33o2sXP9ve2x4Fo2gv++5T30plXKS5aVlYaC0lRVkICDl8f/8gPBT2wp7WSGZFnmZU45W5Rb/jB2EIGbjEIQ41Ft0f/+6bJ1ZmGvWG0LrKjTSOwbQwlgB6bGej6AuZDYCkaSE4wxih/f19UAghlGZpmmTctAnFCNExsYZQutfulOv1cqk6GA0UAW7Q9//kg9e+/tqt7uYoHP7jf/rO2+/832az8a0//fMnjj6GFEtEWCtVMDIYJnFWxEkAEtnEWV29191vYxO/8eob/+63ft1vj+aWJ/M4k1nxzidv/fSDnxqGVSm3vveLv1yv1OsTzVPnnrAtWxRie3tneqpl25bvB4ZF+qNgb3cXUV2tlI4cWnnl2ZcdZjmeXbFKPT5w3HKpVP3q0wsvnn8tTfIwTIah/3BjdWH20ExtJkqj2dkFXeTvrf5xFEbRKHZt58j0IRrpEtDhoLN5/f5Or3fqmXPzJ4/maU4VEIJ2VjcGo6HOhdKCI+aWGieXjyWl5NHGejiIpmsz3nz5ykcXGQfbMEyTY0ziIuOIW3i8rMvxsJcaQIMcW+QKUURJZnALADeaDYJwGmeUsWrNU0JJIUqeBwqUlNywbMsehlEiQStgxOr3wg/ev9jr70uQZ586stn+/M79q7/xW//69v1rzSmvVjOUyjFSBJOq44wOulsPHlz7+BLOVDAaXr9y1QP3b/+Fv/HK+ReC7kig4U58d0+uCTfLUAyAP/nsk5sPbgRx3/VMLUWapkESHz56olqvm5ZlmdbW+tbRxcNJPzi6stKoNOanZ9NhCIEqc48oApJgwAxZHqrW7JnJ+nw6Kk4una3Y9STNTGY7jpuliWXZJ0+cdU3Hs5xjS8tSqhZxnB569M7N4e3O1Tevr350q26UeI5IgbI021pbpzmytW0LPlefYYLbjm2AVbKqBnHOX3i2VKppgh3LNpiFKRlrarFGjBI69gQgjLQGEAASQFHXdYWQmBIppeO4hcwUcEa5KATCWCmNCStXS0M/KWkEmtiMWaYhhVAKOr3+Rrtz8pmSazh5EgHWYRj4w+Cf/Yt/0v8LB4+dOjs9MU8Q216/Tw1r9c49y7VAKp3J1596AT31QnvUTqUf+6M0jAvoNZYbSVjE8aBUau34D7uftRc2ls+eenxxZnkUjZSUk5P1g8EewZoQ7Njla1cuReGw4rmzzekTy17W9RmwIhYpS5Gmu486aV+0pkzNNLM4EujiR59h0DOzM+VSbXbKnm5OTzUbnmv9/g++32q0kiJ4+YmnZSHSrfad3esi0hrll99Zu/TO2tTym1//9p8z62W/PTx+6FieBUWRC4kWW/MT3kTZKV1/91apUplqzU17c/udg9e/+kbS3uKMUoIpQQwT9GX+DSMEBIDSMSFOaqC26RQil3nheZ4GVfiZ1qCRLvKi5NoHw5GUglFD6ZBwM4oSjIgSiBFjz/dLJTAs3OnEVsVRSYq0bLRqCDDD5OH6gxeefVEjLVV69eqlmYlJm7PDc/NQ5ELCqDswy2bVcmyjOu1OGEcfW8vvJXkslEqhUHGgc1yy2NbOmkfZcrN1fHlma7sdZjKMh45pfXr1yvr66u5eu1Ett+rNErePz638u3/5r/yh/50/9908LEpuU7rccapKKoywLChI8Ze++70PLr5frZeFkEPfp3jECGo2W4vzS9VSeW9nd25ifv32bcaMtDMK9xXRMEshNWB+YTnsjgb7vu04bmFMTDVSoUimNj9fX64ub3R2OOVYG0szRwHYhaee+0x+9KizpxWyPZszSiiSSiGtAZMvwoABIQCEKQDVAFpClhdTk1OjYZ9RUhDIixQrrkHLsdyMYcNgSS4d2wFEDgYDLXDZcAZ+gCmgQmnUnjvUwggFo5HrVQf+6M03f1Sy7Wqp1iw13YpbLdcnWrzGnaGfeJQyZYh+lok0QtGxQyuXVntM034k8gxpybJCGNqabkzMH1/46pMvpX487Ox4JrNseu/R573B8P69u81yPYrCIyvzj585O9lsfn79+r07dw/NLxvcbLXmozCziBkHOUdmZbo5CIJU5lIrxs3FlWVR5LmMucEx0rIoarVq4A+XDs2Xy7Ua2Lv9nqUdT0EMgBQwDV9/+isG51fu3mQG5pgZiDq8Vug87aVIkP7OSOU0E8q2y/1waLlONhqalPpJMj3TkLkEpKWQEgBAoDF9UdNxSyQA4DyXQirOmWGaeZYprRHWqsjyNIniiCBULpeYwQ1uaAWM8UqpUi3XlJJJHjMAjUBksL+F0iCSGQghxiYg0yQaSQCgjDYaJcvBBtEiSzACi7GWVzVjNQVuiRhPHTrT6bR3OgdKgOvUKDG0UFLiM0efWFk62jsYUMoAAEGhRMQsbLl0dev+nY1b08tTYR4fWVlCCPe6Bz/64fu6KMqVklKCEAIa8iSx3FIYxLKQpXKZMfOZZ59lhqmxRgCYENuxgKI4DIbD/rGlw1jr+flFzywnmZQwVn4CS2ChMo0FMbmV+sn9z259+NaHm/fWB51B2S2b2KCKLbQW6+XG5mYnDtKXX3rt9uc3pBQE4y8s3lJhMmZqAGCQQmVZnuVZXuRSCpqlCTMZRSTwR41GfTgcpKnGlBSZoMAMl9fqJVGIoiRHo1ApIZVmlOSiQFphAF0AQmA5EI1EtUEwxt29/ccff8L3g9t3b3/j9W/88Ifft7n39Ze+xhSark6ULMfSWOaZwzgojYm2sXv34f3DLzw29P04ExxVyq5T5HJmagYyLRJpV7yPPnkvL7Lnv/ICHnT29vcoJdVqOfGHkhszzYk/+tGP/+tv/OfZJv3mG3+GYCylKFcmhMTDoM8ZD7OMMtKcquABHiZDg9BUATNMwoEa6OaH16I09kP/6QsXlBAyUQK0W29SvhHnxcrkzM996+dPLhytjA6mG1PzJ1fevfh+b9QLhgEjnGPnk/cvZZI4nueVSqNRUATBzmr6ja9988Of/ZFr8iCMGNKebWuktVJjRDH6EhOtlZZC0iTNvZKLpKaYu6VSp9PFCCGEpUq4wR3PRVpLBQaj3GKAFUGYUWYQo5DZ2EmeI8BK+/sZSJ8xVqp6YRD0uvvbm9tPnTn7nb/4i1urG6sb9976w58MN9u1Uu3XfuUfTNcnKEIyFchU6ztrC4tLaZLHkQijrGTWPVynDqbYtAxSdW3L5Pfv3T126gQCTAB1d9uMYJFmBmYnV46ILPvk3fd3Hm4MhuLsqRPd3lAhuX+wlSSIYKxBE04PBgc3/vDWKOufOX+GYmpYlpZ5LpNM4/c+ekcKGQWjrfZu1bBNhidmZ77zne/+0i99b2enu9Pdm56Zm2pMeI26QPog8Y8tH752Ow384L/9l//xa//wHxPDILFqVifmF47ajiOSZGP1FqUkTpNSYfhDv1Z1fX/keB7BFGOMtCqkGHNCEQYAoIwxgxmJjCzHKArHMOgYCGFwQinhhGql6g2v11M1rxzmeZYrSrXJSZQDRwQRoErqFEQBCUnNCVMp3d7cIZRanF+8/Emr1QxHw7RIvvVz30j7o3gYfvLZe69deHWyXEecAY3vtFct02kfDKIgR0AQJTnJjs6c6vUHJyeXaKHiOL5x/YbruHNH55eW5n72JwVHRBWiWq0eak49ur+6t7kthHzx+SeSIMqijBoGwchxbMplf7TfaDUHo14hxLsfvl9q2qWK25ioIAagoDc4mJhpxUFUr5au37v5/NnzmcGb87NKslHngHLyysuvVaamEEKMYgUSpYpb5tFjx4SS84cPrW6sfe21r585/cT2xp7FDV0IRjnRstdpl8olIQsEXGsdDIb+YDiW85iOXa5UODfU2C4tBC1XSnmejidFIXPDMjCGNE2YaWhVFCIm1KCMIgRSI5MZeZpEUZTnKQLEMMaAAHSeKUUg7mut/VpLcWssfkGWYVy//tnpUydLiU0KzbTX2+7s9tarJe+xoydt1y1V67u7W/sHA2zgZq0VJamWOoqiE4ePc0rX7q/OTUxcv/aZ6Vjr24+Mm3atVp+fnTEICQ8Ga+trv/D6G929vSIrilgszSx/eunqkROnCWOAMeXGQXvXMypplhAiQMW/8M03FCk8myOkDYMkYYqQeu6FZ9/88U8sw0YIZRzSIkeOqRI5s3Jk6fAJjGgkM4E0gLY9u16fckWN9bs77R0NIIXsD0Yff/Jhqzo16j8ou+VavR77/RtXLxPGFChCcBrGX8K4tZQyGvnBcEQwYYbBOffKHvVczx/1xvTQQb+PCSCElZQUY4lVGoemgyjCjUadcKvTG+AERXEkCsGAJFICaAwaAwgFkIMIZM4LqjBQYXJ++dOPJqanDUaW5hcZpaxunnvtsXAQy2F64PfmJ0qu566cOlI6Prm+u73b92Wig1FscqtRa/R2O6PREClx+cZlr+yGMhkOe4Ti02dPbzxcZUJmopio1btJ57lzz7jIDfywu3dw6jQb+9gQhbRIpqoLUuVnTh9TTIXJaBQG3e7OJGtJBUoWGMAruaKQn967+rC9VZltzdZmKCAFOpZZTqXDOce2H4/SKLVL3CiZvZ1+nKVJkV++dWU0HHqe+8SpJ/MsHvaH0bC3/uB2v7OjAAUH+/vt9ssvP6uVIAQrpaVSgBBGCCGkQedZmmepPxpSKQuEkJKCMTIcDgyTKZFr0BoUwxRp0AgUSMK54xmWTyKGECjLMrIiKwqFv8zvMQSUAeMYtCQYZJYXBCYnmqrIr16/XC7bVa9iUCYUKWSWyeRB+8Gqvym07OO0sjSV56hIMgrUMzzLMihCSMvecL+9t5HLvIAizsP7m2tk9+GNe9cYQaDUmeNHg3i0MDvTbu7hM+Rf/af/eNAbHjlxdnHFU0qKXLoVZ3KmPAhHnbDdH/bckksI+uDjt1cOH1leXiSc6yI3Of/Vv/d3/8Nv/nqair4/qFRrtXKVVmhRIBvboAkjBGPiVsvCw9TEv/fmH1y8clFSaWhWtkvdg46UxXSrudCa/Pf/5t8cOXZsMOibprV6/7YGaVsmVUIwoQG01rIo8lxq0F8S6gFjTJUaZ+Z0EIzGDNE4ThBCUmpK6JjLgTEbE0OFVAQj1zH8KJcFfNlQhilGmAAiklEEmSzCWFHA2ixsTk0WBKPf/M3feObZC9Vy9cTK8eWTh/a2duMoYYgf9DoTK7PnHn/2D3/4M84YlqhSdhi23nv3T1546nw414qjOIVwu72jEU4gzZWwkWUatCtGpknfvfjuL3/7rwTDaLe9NwB45+LHk9//7XPnnj7/4tO5lEInm931rBAa0IP1ux9f+kAiFfijr33zG1ghitG+H8dZfOnGdbdR++SdP/741qdPnD/3C2/8vJEjQzPiGXGaZHkxSEdYELtSBy0eHjxqLLQeba95Fbe9s/PwwYOG46lRODs939nrHjt+2LbNs4+dHh7sMYxAKoMzTqkGAK1zxrjxxZFACSkLmUtJxdjeCbrf7xOKASArcgTwRdEEY1ppwlgaZwBQCFFk2diNKaREAAiAYEwxIhhMjpDUgJXOFBCilRh19hOZWZZpWWbg+5OTk3v+/vqVXZUkWZwRif7bf//JkbMrN27dm6y19vr9uamZx86ce+2VF0fD4MalS9VGxbD54bOv/fN/+89lGTDGQRCGI99GhHHo+fsLUzOE0O9+77vDYfj61954/+ql+aVDB709RaCf9EiZJyr8+PolkPLytcu5ygghtmO7Zffm7Ts7W7t379yZmJgCIkzOHw3WJyYmu377f/3095468+S5k08UIB7d2xZxYZv2IIl++IO3MlW4rrG71/Fcx62YyQGypkpR3N9avf3pRx8UafDBe2/bhgEgEahKper7o5wRQginlBmGxZhmTI1pTFoLKbkQVIpiXLAVhxHCYwWvllojhAEAMY4Q0hppgMAPMSZhMtYsg1AKAdAvIPeaICBSMQRaa5VqJVSeFYbNXdemBqMm73a6N+7cbTYa01MzZcdp7+xtbWy98uqT1fosZOT48vEbN/7PE2fOl123295Pkti02etf/8r/+MF/HW31QhUZhqW0ZmXmujYvtA7zO7sPpuam1/c369YkNYwTp081l+bCPKnNtqjJGJjDtM8F/YO3fn9mfhrKkPq5aznTU9N3tx7WJpqff35n6AcjP8WmUlwsHV4xLD6Kg53u/pWrnxaFOrp4bHl2aWd958bNz9u7Oy9/5RVsUE5IlPoc0LB7MNWsTdcmOUAUB9GgV/VYgWicRP5wUK03S5ZhctBKCSHyotBRRCmllBqMjUPCKdWGQbXWoBXGOE4ihEFppbVWWhHCAAFCQChXUgGA70cIdJbkUunxvMEABLAGIACYaMCAFGCsKQKkgCNcdjxqWazsGI6T53lk56MwGj14oKR48sz5ufmVE/PH97q9ibnZiZnZ584/tzi7ogr16aeffv31V2wLbly/evfBPWJQo2F1w75XtTElkigiQNsUSuzO5r2tYNcpVw1EiEtrjTr1Y8OzFUKGa/3v//4HiKHpuVmnah709oHB2u6j1sJMZbLpmaW55cPULH3w0cWSQQhRtukgJmzXK9Xc0UHEgPu+/8nVS0899mRzrrn+YP3B7TuLK3OubT2+sPxo8xGlxDTZ0xee2F/b7A97y4cX252hSgVonschAVxkmUnZ2P47PnsJIfI8z/N8LGgwTdM0DAoASkkhpRAFN2iaxuNjAkbjEmmEMJFjx7fSURxrQAhBnKbj9QfhLzQnGI2Rr+OlCzAGrbVru4yx9YfbJx47U6/XueXcfbQqNRimU/IqK/NLLz77qufW90aDTBSLC0uU8SyLDdN8cO/hf/ytf4s5iiBIaCZdqLgVxSRRWDERamUKgDoNo3h5bhkzfXf9dm1yClsOlLE0UZhEH1+/2OkPpmYbmEChRalZFYWQRC8vL5mmgylpTs/sdPqMm5SZqd5VopCqqFaro0FEOK579Ua5wQifmZlZvfOg1+2O/P7G3QIRRLBkROZRuNvrvP0nmYvN6cqMVbIquYy3unEUKaEYpUjFaSrgC7wVopRxzsb1D2MmXJZlWZZ9Yec56HQIwQAoilKEAAFGgAhjAIAJzfNCa62UTpJYKgANQmsE4+56YAQ0AoI1AdD0S90JQ1prwzDiNKWMEUyq1cbswtJzL3x1GPlREFLMTi6f39w4MM1QWiZCanp6ISvk/TuroFXVch9tPCo1vepkOdFC6kxhEEj5mY9DZRI6xUuAkADx1/7+Lz9z7vnl2RXWKKlYtRqNYRp0RkPiOkdPnukO2xRBkue2weMsNU2z3mgedHqMsZLraaHdik0NnuiMM8K54Sc+xtg0qdQ5JbhWqXLGkjDubO3oDILM5wa1LIwpKlEOlBtAhEqCor918OjRrT3HrChZIIwrJQdrS4lcKQlaClFkWZJlKR5XBBFCKUUYa62p1goADvodhJFSYhwhjBFooIwr0AgRAXkaZQihoiiElBq01hqNs9vjfRgBHmPZv/TNEIoQZpzyTtxrTUxopZhhAMJFkbtuyaIeBhJHOk1JVkidp6V6VecZ0tqzy1keXrl8KQuS8uI0klhKmfMCKSRVQQmlSINQucotzLhjcWASYD84aGbRT9//Y2Y50zPzcwuLhuNOzczeXL3nlk3PYVKCSIVS6uaNz1999iuxLzBGh2YWP73yMbMJcKAWBq1G/sghHkNUCjkcDJbnlz3ba1brWGMoRC6lTGI1xIiglOvaZJVoMCx2ZPkw1uRO8rDutoRKZCEPDkaNmocII4ho0JxaCCkpCiWF0irLszTLEEKMMgqglJJaaoQhzwVCSCpNMEUINMaEUCkKjNDQDxFCeZHnQspxbhWAjNPaAIR8WeyCx9cOoDXUGhUA8MNg+eQppRVjDHOG8BjQDqZhatBKa84sQvnq3c0rV65NTTXPPXXu/u3ro/2DJ06dH+G+kDIv8jRIBAHEAKhimBJCc1GEw9FsY9ooG5/evYKx8dmjjdmZFW5V9vd7c4ePTk3M8H733Nlkp3MfQa4FmpmYTf0w2O7srq01a3Nxfzjo7jQ8bwgHSGKMZIlXgUOe5SpHWZLupv6FMxe2Hz5avXMvixIRFWmUFEFaazjcJkmSJ9gYqSHSmi7yg2HfMV2GqcnNycmZYDQCbCAEQBACBVooUWBiYDJGsYLIhdZ5IQTVYxCxVgRgvLUqUBQAEQJaE2rkhQKt0yyXRSGExgiFafZFAP5/Uhv0l49fvAAAzykVskCEIqS9UlUpZTADKAUESirLtMdzCRNSCAGgFdI72zvbjza++4s/f/LIyk578/tv/c9H25vCk8hErIxyWUCWx0VSJqZGzGa2yTln5tzhZhTJwSgQ2xsnz0zPzh6eml4kBD+4f8fzPHtY2m9veZYFBGRWUOqt3r5z5Csr2g9LFOqmSbEjME+iCCNIRGFYxnB/dOPTm4zxpPtfJppzne124kcesT3HpDbILNWJ4syu8ooF3KuV8zwNu3nVqRZ5LkSqFCKMFUKNvzXSQCkjjH1xJY+EFjlhBMCmoClCcLDfRRgQxmmaAgAChBBGmACMjT0qywqE8DDwC6EQQCoFASCANMDY8IAwkC+HPwBQAmOhzygMPc9TSpWqFQDAlAKAFqCUrNh1KZQGIJQmSeKHsdKaaF2tVwHANIzJmcm//pf/5uZw48ObH3X73d1Rt2xbmEilClNoTZFruWsbW2Wv7tq5yGmSICnDu7fuuHZt88Gm47j5SGKgOMYLk4sMcqkEzzEqgmAYvPWD709PzPY6XQaaZjoYRdudvTjMoiQyLNjbCotYeI7YyTd/9DuXnz4zV3OrVcPL0gzyHJm85jiUkhJ1bMX0UN+5dPfk6Qvbu+0iz5WCosgxyDHlYazJy4WC8YqNgABDlGPQoKXW6v8BHxQXW/POJ6IAAAAASUVORK5CYII=", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Check some sample images (Use of cv2)\n", + "import cv2\n", + "from google.colab.patches import cv2_imshow\n", + "\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " # lets say we want to show the image at index 7 in every class list\n", + " img_show = this_path + '/' + im_count[7]\n", + " img = cv2.imread(img_show)\n", + " cv2_imshow(img)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jWBEMC1FUfXS", + "outputId": "f5df0985-aab9-46a9-d480-d9e5b97d0688" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(128, 128, 3)\n" + ] + } + ], + "source": [ + "# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n", + "print(img.shape)\n", + "image_shape = img.shape\n", + "# print(image_shape)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "52BhBWRab5yc", + "outputId": "69eed97e-32c3-4c00-93f4-f143e1347179" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[(128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), 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128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3), (128, 128, 3)]\n", + "9002\n" + ] + } + ], + "source": [ + "# Check if all the images have same shape, else you need to resize them to some common size\n", + "# I have created a list which stores the sizes of all the images. \n", + "# In order to check for different shapes, we will count the unique shapes present in the list\n", + "combined_images_shape = []\n", + "dict \n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count = os.listdir(dir)\n", + "\n", + " for i in im_count:\n", + " img_show = this_path + '/' + i\n", + " img = cv2.imread(img_show)\n", + " combined_images_shape.append(img.shape) \n", + "\n", + "print(combined_images_shape)\n", + "print(len(combined_images_shape))\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "G-Atau4Rfc-x", + "outputId": "679f08d4-ec83-4758-d1f8-08f8fc1d1783" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The size of all the images is : dict_keys([(128, 128, 3)])\n" + ] + } + ], + "source": [ + "# If the shape is variable, reshape to a common size \n", + "# If it is same, prove it\n", + "# counted the number of unique shapes present in the above list\n", + "\n", + "from collections import Counter\n", + "items = Counter(combined_images_shape).keys()\n", + "if len(items)==1:\n", + " print(f\"The size of all the images is : {items}\")\n", + "else:\n", + " print(f\"The size of all the images are not same\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "zSoUXS1cRbnu" + }, + "source": [ + "### Model Definition\n", + "Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "id": "QKZmIgXMTHfy" + }, + "outputs": [], + "source": [ + "from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n", + "from tensorflow.keras.models import Model\n", + "from tensorflow.keras.preprocessing import image\n", + "from tensorflow.keras.models import Sequential\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "9xWLUibHRNGj", + "outputId": "38f34bdb-b86a-42c7-d21a-cad645a4912e" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n", + "58892288/58889256 [==============================] - 0s 0us/step\n", + "58900480/58889256 [==============================] - 0s 0us/step\n" + ] + } + ], + "source": [ + "# Choose and define base model\n", + "# In this step we are going to import the VGG16 architecture from keras\n", + "from tensorflow.keras.applications.vgg16 import VGG16\n", + "from tensorflow.keras.applications.vgg16 import preprocess_input\n", + "# include_top is false because we don't need to import whole architecture.\n", + "# We need only the Convolutional architecture of VGG16. After that we will add our layer and which will be trained according to our dataset.\n", + "vgg16 = VGG16(input_shape=image_shape, weights='imagenet', include_top=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "J3TwB_GLd7BU", + "outputId": "8724b52f-1b8c-4547-c67f-0680b557f31e" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"vgg16\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " input_1 (InputLayer) [(None, 128, 128, 3)] 0 \n", + " \n", + " block1_conv1 (Conv2D) (None, 128, 128, 64) 1792 \n", + " \n", + " block1_conv2 (Conv2D) (None, 128, 128, 64) 36928 \n", + " \n", + " block1_pool (MaxPooling2D) (None, 64, 64, 64) 0 \n", + " \n", + " block2_conv1 (Conv2D) (None, 64, 64, 128) 73856 \n", + " \n", + " block2_conv2 (Conv2D) (None, 64, 64, 128) 147584 \n", + " \n", + " block2_pool (MaxPooling2D) (None, 32, 32, 128) 0 \n", + " \n", + " block3_conv1 (Conv2D) (None, 32, 32, 256) 295168 \n", + " \n", + " block3_conv2 (Conv2D) (None, 32, 32, 256) 590080 \n", + " \n", + " block3_conv3 (Conv2D) (None, 32, 32, 256) 590080 \n", + " \n", + " block3_pool (MaxPooling2D) (None, 16, 16, 256) 0 \n", + " \n", + " block4_conv1 (Conv2D) (None, 16, 16, 512) 1180160 \n", + " \n", + " block4_conv2 (Conv2D) (None, 16, 16, 512) 2359808 \n", + " \n", + " block4_conv3 (Conv2D) (None, 16, 16, 512) 2359808 \n", + " \n", + " block4_pool (MaxPooling2D) (None, 8, 8, 512) 0 \n", + " \n", + " block5_conv1 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_conv2 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_conv3 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_pool (MaxPooling2D) (None, 4, 4, 512) 0 \n", + " \n", + "=================================================================\n", + "Total params: 14,714,688\n", + "Trainable params: 14,714,688\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "# Print base model summary and have a look at the layers\n", + "vgg16.summary()\n", + "# here if we see the last layer, i.e prediction layer, we can see that this model can predict from 1000 class. \n", + "# but here we dont need 1000 class as we only have 3 class" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "F_Heq3C1eKd-", + "outputId": "6d39c5c3-b3e2-4368-87c5-ac325951340b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"vgg16\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " input_1 (InputLayer) [(None, 128, 128, 3)] 0 \n", + " \n", + " block1_conv1 (Conv2D) (None, 128, 128, 64) 1792 \n", + " \n", + " block1_conv2 (Conv2D) (None, 128, 128, 64) 36928 \n", + " \n", + " block1_pool (MaxPooling2D) (None, 64, 64, 64) 0 \n", + " \n", + " block2_conv1 (Conv2D) (None, 64, 64, 128) 73856 \n", + " \n", + " block2_conv2 (Conv2D) (None, 64, 64, 128) 147584 \n", + " \n", + " block2_pool (MaxPooling2D) (None, 32, 32, 128) 0 \n", + " \n", + " block3_conv1 (Conv2D) (None, 32, 32, 256) 295168 \n", + " \n", + " block3_conv2 (Conv2D) (None, 32, 32, 256) 590080 \n", + " \n", + " block3_conv3 (Conv2D) (None, 32, 32, 256) 590080 \n", + " \n", + " block3_pool (MaxPooling2D) (None, 16, 16, 256) 0 \n", + " \n", + " block4_conv1 (Conv2D) (None, 16, 16, 512) 1180160 \n", + " \n", + " block4_conv2 (Conv2D) (None, 16, 16, 512) 2359808 \n", + " \n", + " block4_conv3 (Conv2D) (None, 16, 16, 512) 2359808 \n", + " \n", + " block4_pool (MaxPooling2D) (None, 8, 8, 512) 0 \n", + " \n", + " block5_conv1 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_conv2 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_conv3 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_pool (MaxPooling2D) (None, 4, 4, 512) 0 \n", + " \n", + "=================================================================\n", + "Total params: 14,714,688\n", + "Trainable params: 0\n", + "Non-trainable params: 14,714,688\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)\n", + "# here I will choose to free all the layer except the last layer named as predictions.\n", + "# here as you can see above we are having Trainable parameters as 14,714,688. What we want is to freeze them so that \n", + "# while doing back propagation they dont get changed\n", + "\n", + "for layer in vgg16.layers:\n", + " layer.trainable = False\n", + "vgg16.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "id": "MKx1EtUJea6D" + }, + "outputs": [], + "source": [ + "# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n", + "# Now we need to add some more trainable layer which will be trained according to our dataset\n", + "flatten = Flatten()(vgg16.output)\n", + "dense_1 = Dense(units=500, activation='relu')(flatten)\n", + "dense_2 = Dense(units=500, activation='relu')(dense_1)\n", + "dense_3 = Dense(units=100, activation='relu')(dense_2)\n", + "dense_4 = Dense(units=100, activation='relu')(dense_3)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "id": "q6I3oTTNgP8L" + }, + "outputs": [], + "source": [ + "# Add the final output layer\n", + "dense_output = Dense(units=3, activation='sigmoid')(dense_4)\n", + "model = Model(inputs=vgg16.input, outputs=dense_output)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6aVQocJwgN5r", + "outputId": "bb20833e-bd82-4f97-c0de-7b4085db7575" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"model\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " input_1 (InputLayer) [(None, 128, 128, 3)] 0 \n", + " \n", + " block1_conv1 (Conv2D) (None, 128, 128, 64) 1792 \n", + " \n", + " block1_conv2 (Conv2D) (None, 128, 128, 64) 36928 \n", + " \n", + " block1_pool (MaxPooling2D) (None, 64, 64, 64) 0 \n", + " \n", + " block2_conv1 (Conv2D) (None, 64, 64, 128) 73856 \n", + " \n", + " block2_conv2 (Conv2D) (None, 64, 64, 128) 147584 \n", + " \n", + " block2_pool (MaxPooling2D) (None, 32, 32, 128) 0 \n", + " \n", + " block3_conv1 (Conv2D) (None, 32, 32, 256) 295168 \n", + " \n", + " block3_conv2 (Conv2D) (None, 32, 32, 256) 590080 \n", + " \n", + " block3_conv3 (Conv2D) (None, 32, 32, 256) 590080 \n", + " \n", + " block3_pool (MaxPooling2D) (None, 16, 16, 256) 0 \n", + " \n", + " block4_conv1 (Conv2D) (None, 16, 16, 512) 1180160 \n", + " \n", + " block4_conv2 (Conv2D) (None, 16, 16, 512) 2359808 \n", + " \n", + " block4_conv3 (Conv2D) (None, 16, 16, 512) 2359808 \n", + " \n", + " block4_pool (MaxPooling2D) (None, 8, 8, 512) 0 \n", + " \n", + " block5_conv1 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_conv2 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_conv3 (Conv2D) (None, 8, 8, 512) 2359808 \n", + " \n", + " block5_pool (MaxPooling2D) (None, 4, 4, 512) 0 \n", + " \n", + " flatten (Flatten) (None, 8192) 0 \n", + " \n", + " dense (Dense) (None, 500) 4096500 \n", + " \n", + " dense_1 (Dense) (None, 500) 250500 \n", + " \n", + " dense_2 (Dense) (None, 100) 50100 \n", + " \n", + " dense_3 (Dense) (None, 100) 10100 \n", + " \n", + " dense_4 (Dense) (None, 3) 303 \n", + " \n", + "=================================================================\n", + "Total params: 19,122,191\n", + "Trainable params: 4,407,503\n", + "Non-trainable params: 14,714,688\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "# Print your model's summary\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "id": "qdC71fUBgXAg" + }, + "outputs": [], + "source": [ + "# Compile you model (set the parameters like loss/optimizers/metrics)\n", + "model.compile(optimizer = \"adam\", loss = \"categorical_crossentropy\", metrics = \"accuracy\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RdUSMLggifex" + }, + "source": [ + "### Data Augmentation and Pre-processing\n", + "Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n", + "You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "id": "DBscSsvkgn39" + }, + "outputs": [], + "source": [ + "from keras.applications.vgg16 import preprocess_input # Change according to your base model\n", + "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "\n", + "# training_datagen = ImageDataGenerator(rescale=1./255, shear_range=0.2, zoom_range = 0.2)\n", + " \n", + "image_generator = ImageDataGenerator(rescale=1./255, validation_split=0.2)\n", + "\n", + "# Your code \n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IcKPxCpOkcuG" + }, + "source": [ + "### Training and Validation Dataset \n", + "Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n", + "\n", + "Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "sB7hb3ybkJRq", + "outputId": "454eeba1-eb5c-447e-875a-4143160b7c78" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 7204 images belonging to 3 classes.\n", + "Found 1798 images belonging to 3 classes.\n" + ] + } + ], + "source": [ + "# Your code\n", + "# image_generator = ImageDataGenerator(rescale=1/255, validation_split=0.2) \n", + "\n", + "train_dataset = image_generator.flow_from_directory(batch_size=32,\n", + " directory=path,\n", + " \n", + " target_size=(128, 128), \n", + " subset=\"training\",\n", + " class_mode='categorical')\n", + "\n", + "validation_dataset = image_generator.flow_from_directory(batch_size=32,\n", + " directory=path,\n", + " \n", + " target_size=(128,128), \n", + " subset=\"validation\",\n", + " class_mode='categorical')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ZZPsjpT1mp3z" + }, + "source": [ + "### Training \n", + "Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Gs2X14MBmu7W", + "outputId": "e0da6f0c-4064-45de-f3d0-b0999688ea45" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/20\n", + "226/226 [==============================] - 37s 99ms/step - loss: 0.2020 - accuracy: 0.9207 - val_loss: 0.1360 - val_accuracy: 0.9488\n", + "Epoch 2/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0782 - accuracy: 0.9725 - val_loss: 0.1400 - val_accuracy: 0.9494\n", + "Epoch 3/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0637 - accuracy: 0.9764 - val_loss: 0.0807 - val_accuracy: 0.9761\n", + "Epoch 4/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0285 - accuracy: 0.9901 - val_loss: 0.0719 - val_accuracy: 0.9794\n", + "Epoch 5/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0326 - accuracy: 0.9895 - val_loss: 0.0818 - val_accuracy: 0.9744\n", + "Epoch 6/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0232 - accuracy: 0.9915 - val_loss: 0.0610 - val_accuracy: 0.9828\n", + "Epoch 7/20\n", + "226/226 [==============================] - 21s 93ms/step - loss: 0.0181 - accuracy: 0.9942 - val_loss: 0.1116 - val_accuracy: 0.9655\n", + "Epoch 8/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0226 - accuracy: 0.9914 - val_loss: 0.1270 - val_accuracy: 0.9666\n", + "Epoch 9/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0186 - accuracy: 0.9936 - val_loss: 0.0973 - val_accuracy: 0.9716\n", + "Epoch 10/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0116 - accuracy: 0.9957 - val_loss: 0.1778 - val_accuracy: 0.9661\n", + "Epoch 11/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0269 - accuracy: 0.9917 - val_loss: 0.1012 - val_accuracy: 0.9805\n", + "Epoch 12/20\n", + "226/226 [==============================] - 21s 93ms/step - loss: 0.0151 - accuracy: 0.9961 - val_loss: 0.0823 - val_accuracy: 0.9811\n", + "Epoch 13/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0127 - accuracy: 0.9964 - val_loss: 0.0963 - val_accuracy: 0.9844\n", + "Epoch 14/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0130 - accuracy: 0.9956 - val_loss: 0.1010 - val_accuracy: 0.9744\n", + "Epoch 15/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0109 - accuracy: 0.9967 - val_loss: 0.1270 - val_accuracy: 0.9839\n", + "Epoch 16/20\n", + "226/226 [==============================] - 20s 90ms/step - loss: 0.0146 - accuracy: 0.9951 - val_loss: 0.0619 - val_accuracy: 0.9822\n", + "Epoch 17/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0017 - accuracy: 0.9996 - val_loss: 0.1040 - val_accuracy: 0.9828\n", + "Epoch 18/20\n", + "226/226 [==============================] - 21s 92ms/step - loss: 0.0275 - accuracy: 0.9932 - val_loss: 0.1800 - val_accuracy: 0.9360\n", + "Epoch 19/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0206 - accuracy: 0.9928 - val_loss: 0.0863 - val_accuracy: 0.9794\n", + "Epoch 20/20\n", + "226/226 [==============================] - 20s 89ms/step - loss: 0.0068 - accuracy: 0.9982 - val_loss: 0.0864 - val_accuracy: 0.9811\n" + ] + } + ], + "source": [ + "from keras.callbacks import ModelCheckpoint\n", + "\n", + "r = model.fit(\n", + " train_dataset,\n", + " validation_data=validation_dataset,\n", + " epochs=20,\n", + " steps_per_epoch=len(train_dataset),\n", + " validation_steps=len(validation_dataset)\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "FTvRa1FXri4R" + }, + "source": [ + "### Evaluate the performance" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 530 + }, + "id": "cTH6flzcrck0", + "outputId": "40802b2c-99da-4bcf-9992-dc9b6ab62170" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot training & validation loss/accuracy values\n", + "print(r.history.keys())\n", + "# plot the loss\n", + "import matplotlib.pyplot as plt\n", + "plt.plot(r.history['loss'], label='train loss')\n", + "plt.plot(r.history['val_loss'], label='val loss')\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# plot the accuracy\n", + "plt.plot(r.history['accuracy'], label='train acc')\n", + "plt.plot(r.history['val_accuracy'], label='val acc')\n", + "plt.legend()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "fJ-ZtU84r66Z", + "outputId": "ce197787-0c01-42c9-fc37-ce7cfc18d28f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " without_mask 0.98 1.00 0.99 598\n", + "mask_weared_incorrect 0.98 0.97 0.98 598\n", + " with_mask 0.99 0.97 0.98 602\n", + "\n", + " accuracy 0.98 1798\n", + " macro avg 0.98 0.98 0.98 1798\n", + " weighted avg 0.98 0.98 0.98 1798\n", + "\n" + ] + } + ], + "source": [ + "from sklearn.metrics import classification_report, confusion_matrix\n", + "import numpy as np\n", + "\n", + "import itertools\n", + "import numpy as np\n", + "\n", + "\n", + "validation_classes = []\n", + "validation_images = []\n", + "for i in range( -(-validation_dataset.samples // validation_dataset.batch_size)):\n", + " batch = validation_dataset.next()\n", + " expected = np.argmax(batch[1], axis=1) \n", + " validation_classes.extend(expected)\n", + " validation_images.extend(batch[0])\n", + "validation_classes = np.array(validation_classes)\n", + "validation_images = np.array(validation_images)\n", + "Y_pred = model.predict(validation_images)\n", + "y_pred = np.argmax(Y_pred, axis=1)\n", + "\n", + "\n", + "print(classification_report(validation_classes, y_pred, \n", + "\t\ttarget_names = ['without_mask', 'mask_weared_incorrect', 'with_mask']))\n" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "collapsed_sections": [], + "name": "A4_200782.ipynb", + "provenance": [] + }, + "gpuClass": "standard", + "kernelspec": { + "display_name": "Python 3.9.13 64-bit (windows store)", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.9.13" + }, + "vscode": { + "interpreter": { + "hash": "c0f7ff968abd5cdc646c3b0d79d8d9fba0fbc1faf12e0395fe0c5d95a57fad77" + } + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} From 2380e8ef100ffc73a2e80e6918757c722ad51b72 Mon Sep 17 00:00:00 2001 From: TheTUFGuy Date: Mon, 17 Oct 2022 19:56:05 +0530 Subject: [PATCH 5/5] Add Resources --- Resources/README.md | 219 ++++++++++++++++++++++++++++++++++++++++++++ Resources/week1.pdf | Bin 0 -> 1222734 bytes Resources/week3.pdf | Bin 0 -> 724733 bytes 3 files changed, 219 insertions(+) create mode 100644 Resources/README.md create mode 100644 Resources/week1.pdf create mode 100644 Resources/week3.pdf diff --git a/Resources/README.md b/Resources/README.md new file mode 100644 index 0000000..bb6b641 --- /dev/null +++ b/Resources/README.md @@ -0,0 +1,219 @@ +Let’s start with the installation of Python’s IDE - Jupyter. Alternatively, you can use Google Colab for this purpose. You will not be needed to install any library on your local machine. Everything will work on Google’s server, and it’s best suited for Machine Learners. You can explore it out by googling, agar comfortable lage, then go with it. +Here’s a quick view of Google Colab - https://www.youtube.com/watch?v=oCngVVBSsmA + + +Installing Jupyter Notebook +Open the command prompt and install using the following command. + +To get comfortable with the Jupyter notebook, you can just skim through this article https://www.dataquest.io/blog/jupyter-notebook-tutorial/. +Also, you can use this Jupyter cheatsheet (given below) to get a hold of it. +https://www.datacamp.com/community/blog/jupyter-notebook-cheat-sheet + + +Getting started with Python +You need not have any prior programming knowledge to start using Python. We only expect from you is seriousness while learning a new language. Honestly, working with Python will seem intuitive, but don't ever SKIP anything. Also, try to implement every line of code on Jupyter/colab to get confidence in Python and get familiar with the Jupyter/Colab notebook’s working. +Start learning Python with https://www.w3schools.com/python/default.asp +Complete every topic serial-wise in the list, up to Python Modules. +Start learning libraries (next section) + + + +Python Libraries +Python is considered the best language for Machine Learning and many other domains because of the extensive support it offers through its libraries. Think of them as a piece of code that someone else wrote to ease your work, and you just need to call that code in a single line and get your job done. Isn’t that fun? +There are thousands of libraries to explore in Python depending upon your work and domain, but primarily we will be dealing with the three most commonly used ones. In the later part of your journey, learning a library will become your everyday task xD. +So let's get started! + + + +Numpy or Numerical Python (All about array manipulation) +To start learning and working with software or a library, it is a good habit to go through its official documentation first. Documentation is most accurate and would best guide you if you encounter bugs. To learn Numpy, it is highly recommended to go through its doc. +Documentation: https://numpy.org/devdocs/user/quickstart.html (Must do) +Tutorial: https://www.w3schools.com/python/numpy/default.asp (A quick watch) +Practice: https://www.machinelearningplus.com/python/101-numpy-exercises-python/ (Must do. Consider discussing these problems with your friends and in groups) + +Pandas (Python’s data analysis library) +Starter video to get the feel and motivation to learn pandas +https://www.youtube.com/watch?v=dcqPhpY7tWk (Quick watch) +Attached below is a notebook on Pandas which you must do completely to get comfortable with the library +https://drive.google.com/file/d/1E9BIQjJxVRiWTuPOe_AJsPRj3aQX3c0I/view?usp=sharing (Must do) +If you ever find difficulty or want to search for something specific in Pandas, as always, refer to their official documentation. +Documentation - https://pandas.pydata.org/docs/user_guide/index.html + +Matplotlib (All about graphs) +It is the most commonly used plotting library in python. Easy to use and offers a wide range of functions for better visualization of your data. We will only go through the most basic plots for now. Here's an excellent tutorial to get you started: +https://matplotlib.org/2.0.2/users/pyplot_tutorial.html (MUST DO). + +You can also watch these videos to get a good grasp https://youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl. + + + +Machine Learning begins now! +First of all, a little bit of motivation to get started with this domain. It won't be long, but it will get you going at your best pace! + +Sundar Pichai’s short speech (2.5 minutes watch) +https://www.youtube.com/watch?v=5cFUZ03Sbhc +https://machinelearningmastery.com/why-get-into-machine-learning/ (5 min read) +Tadeo Corradi’s (researcher) TEDx video (10 minutes, can be watched at 1.5x) +https://www.youtube.com/watch?v=4qCzxo2wPCw + +So yea, let's get started with the journey. +In the workshop, we defined the basic workflow of a Machine learner, that is, firstly, we create at random, we iterate and iterate, and again iterate to find the best-suited results. So in those iterations, we come up with specific algorithms that ML enthusiasts commonly use. Let us go through them one by one. +At the end of this document, we will be providing resources to some relevant course materials and notes to start from scratch in a structured manner, but it is highly recommended to follow the steps as mentioned. + +Linear regression (firstly read the article carefully, then watch video on your pace) -https://towardsdatascience.com/linear-regression-detailed-view-ea73175f6e86 +-https://www.youtube.com/watch?v=1-OGRohmH2s + +Logistic regression (firstly read the article carefully, then watch video on your pace) +-https://www.youtube.com/watch?v=yIYKR4sgzI8 +-https://towardsdatascience.com/introduction-to-logistic-regression-66248243c148 + +Decision tree classifier +The attached article is the best visualization you can have for a DT. +http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ (Must) + +To get more comfortable with the mechanism, consider watching this at your pace. +https://www.youtube.com/watch?v=7VeUPuFGJHk + +Random forest classifier +https://williamkoehrsen.medium.com/random-forest-simple-explanation-377895a60d2d +https://www.youtube.com/watch?v=v6VJ2RO66Ag + +KNN + -https://medium.com/swlh/k-nearest-neighbor-ca2593d7a3c4 (only up to ‘Brute force’) + -https://www.youtube.com/watch?v=HVXime0nQeI + +A visualization to Neural networks (deep learning) +https://www.youtube.com/watch?v=aircAruvnKk + + +[Advice] It's highly recommended to discuss all these algorithms with friends, in groups, and on the Discord server (if needed) to get the most out of the given material. + + +Listed below are some courses and materials to start your DS journey in a very structured way. All the prerequisites and basic understanding required to crack the given material below are already provided in this document. Make sure to follow everything in a step-wise manner. + + + +Lecture notes for Machine Learning (Stanford’s CS229) - For readers +https://sgfin.github.io/files/notes/CS229_Lecture_Notes.pdf + +Lecture videos for Machine Learning (Stanford’s CC229) - For watchers +https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU + +Book (for enthusiastic readers, this is a great book to get started) +https://drive.google.com/file/d/1hFPxorU1AMDXE_02HBwM0hAfcwsdOCeo/view?usp=sharing + +Andrew Ng’s Deep Learning Specialisation (Coursera course) +It is a highly recommended course series for Deep Learning (a set of 5 paid courses, but you can get them for free after applying for Financial Aid, regarding this you can contact any of the ICG secretaries). +You can get started with this course series if you have familiarity with python and a basic understanding of ML algorithms (the ones covered in this document). + +Course link: https://www.coursera.org/specializations/deep-learning + +[Advice] Consider avoiding Standford’s Machine Learning course by Andrew Ng (on Coursera) because it's outdated and uses Octave for programming (a pain). + + +That's it for now, we will update the Discord server with further steps to your ML journey. +Feel free to ping us for any doubts and keep the server active! +All the best, keep learning 👍 + +As decided, we'll be covering some basic stuff before we move on to Deep Learning. Here are resources for the same: + +Basic Python: https://www.w3schools.com/python/ (you might be familiar with most of it by now, but it might be handy to have something in case you forget anything) +Numpy: https://www.w3schools.com/python/numpy/default.asp (go only through the Basic part i.e skip Random & ufunc) +Pandas: https://www.w3schools.com/python/pandas/default.asp (go only through the Basic part, Cleaning Data won't be required as of now) +Matplotlib: https://www.w3schools.com/python/matplotlib_intro.asp + +You don't need to mug up the syntax. You just need to know what utilities exist and where you can use them. You'll get used to the important syntax as we proceed. + +Next, we move on to the basics of Machine Learning. The following article is a great introduction to it. It is quite exhaustive but not that elaborative. So, if you don't get something, feel free to ask here or Google it up. +Machine Learning —Fundamentals: https://towardsdatascience.com/machine-learning-basics-part-1-a36d38c7916 + +We'll be starting with Deep Learning next week. Since our aim is to classify images, we won't go deep into how we deal with traditional data. But if you want, you can always dig something that interests you, it may help 🙂 + +We hope you have gone through this week's reading material. + +Here is your first assignment: https://colab.research.google.com/drive/1lHTeY0ieI9TWcR88yhQV1EwsX7n5PSJq?usp=sharing + +You are supposed to make a copy of this notebook and work on that copy. All other details are in the notebook. The details on how to submit assignments would be conveyed to you soon. + +Deadline: 5th June 2022 + +In the second week, we will be learning about Deep Learning and TensorFlow. +These are a few short articles that will explain what Deep Learning is: +https://medium.com/free-code-camp/want-to-know-how-deep-learning-works-heres-a-quick-guide-for-everyone-1aedeca88076 + +https://towardsdatascience.com/an-introduction-to-deep-learning-af63448c122c + +https://www.analyticsvidhya.com/blog/2021/05/beginners-guide-to-artificial-neural-network/ + +https://medium.com/the-theory-of-everything/understanding-activation-functions-in-neural-networks-9491262884e0 + +https://medium.com/towards-data-science/overfitting-vs-underfitting-a-conceptual-explanation-d94ee20ca7f9 + +Kindly give these a thorough read. + + +Furthermore, to learn about TensorFlow, kindly refer to the following links: + +https://www.tensorflow.org/tutorials/keras/regression +https://www.tensorflow.org/tutorials +(Beginner Quickstart and Keras Basics) + +If you have finished Assignment 1, you can start with Assignment 2. +The deadline for Assgn2 is Sunday 12th June. +https://colab.research.google.com/drive/1ptX8WQ4CFpsuB3FySAo-Ofzinil-gfw_?usp=sharing + +We hope you are working on Assignment 2. Here are the resources for the next week. You could try to read them before tomorrow's meet. +We now dive into the heart of the project: CNNs. + +Simple Introduction to Convolutional Neural Networks: https://towardsdatascience.com/simple-introduction-to-convolutional-neural-networks-cdf8d3077bac +This article covers all the basic concepts related to CNNs. Go through it. As suggested earlier as well, google the concepts you don't get (as the article isn't that elaborative). You will find plenty of resources. And it goes without saying, if you have any specific doubts, you can ask us here. + +CNN in Tensorflow (intro): https://www.tensorflow.org/tutorials/images/cnn & https://www.tensorflow.org/tutorials/images/classification +This will help you in your next assignment. You can skim through it, and just know what utilities Tensorflow provides. You would get a better idea when you implement it through the assignment. + + few of you have reached out to me asking for other resources for TensorFlow. +https://youtu.be/tPYj3fFJGjk +You can follow this YouTube video. Refer to Module 3 and 4. You can refer to Module 1 and 2 as well, but that is related to the Week 1 topics. + +Refer to this link for help and try to understand the code: +https://www.tensorflow.org/tutorials/keras/regression + +If you have any doubts, you can contact us. + +https://keras.io/api/optimizers/ +Keras documentation: Optimizers +Image +Refer to this for Gradient Descent in TensorFlow + +Here is your next assignment: https://colab.research.google.com/drive/1asGptVW1kSOD-sm44G3PJr-Ad9lPwQFR?usp=sharing + +Before you start it, it is preferable to look at some of the popular CNN architectures to get an idea of what has worked for people over the years. Then, you are to design your own model. +Here is a video that will help: https://youtu.be/dZVkygnKh1M + +This week you'll be covering Transfer Learning and Data Augmentation. This will be crucial for our final task of classification. Here are the resources you need to go through: + +Introduction to Data Augmentation: https://youtu.be/JI8saFjK84o +Data Augmentation: https://www.tensorflow.org/tutorials/images/data_augmentation + +Introduction to Transfer Learning: https://youtu.be/FQM13HkEfBk +Transfer Learning and Fine Tuning: https://www.tensorflow.org/tutorials/images/transfer_learning + +Great work on the last assignment! +Now we move on to our final task: Classifying the dataset we decided upon. You'll be using Transfer Learning to do the same. + +Here is the link to the dataset: https://drive.google.com/drive/folders/11TgD1-ouxCP6bd4HWnVvezo5H6c1xS0a?usp=sharing +You are to Make a copy of the folder Mask_Dataset (the above link) + +Then, you are to use a copy of this notebook to write code: https://colab.research.google.com/drive/1-StHlJj6XIfC0fptgdCWJ_OT_11cDP2G?usp=sharing +The rest of the instructions are given in the notebook. Run the pre-written code as it is. If you have any doubts regarding it, feel free to post it here. + +Deadline: 13th July + +We know Y21s have their endsems coming up, therefore we have kept it after your exams. It shouldn't take you that much time. +We are thinking about keeping an optional assignment as well (Y20s could probably do it, more about that later). + +https://www.tensorflow.org/tutorials/load_data/images +TensorFlow +Load and preprocess images | TensorFlow Core +Load and preprocess images | TensorFlow Core +Refer to the above site on how to load and split this data \ No newline at end of file diff --git a/Resources/week1.pdf b/Resources/week1.pdf new file mode 100644 index 0000000000000000000000000000000000000000..24568ace36f3697dbe4de1b1bc6f1e032ce0b8ed GIT binary patch literal 1222734 zcmZU(by!qU*EW7;hMA!TDd`virMp8IB&8*!yM}J089+fn5u|&hrAwt#K++*ZKuS8L z1S#Ri^Stlxy1wuF&ObZW-uJrK+WYKloptto9YtkcK|XN=;r)-d4}wq-DS-5_aYhiz z$nfh2dfM|VSo>PLdN}gySUcMLAcbzly8If}?v5Px?!1q+IFbB%zTSSezWUzw_PQP( zzDPmw{|?c#_I7#f?%;6?^Pj4{9rAXVy{s(1roFGV-7O|kSVZ8zBcD3iKePAN@wRuc z_qKPpy;UMC@*ftuva$$5dw0A4viXnR|BKdt>F_If___NcMfla7?0ig-!vC3t6#VaG zq~QOyME}!ij{HBt{v-K+z-|q^Rqy-17V6sjc=&nWlDXxt6yU3(=WFe2e_L146Gi?P 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