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@ojknation
Created December 4, 2023 00:52
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CNN_LSTM.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"machine_shape": "hm",
"gpuType": "T4",
"authorship_tag": "ABX9TyPxelyz9s1unjU5wpwIEa3N",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/ojknation/8ace371d4de09a41a50c3325127cd34f/cnn_lstm.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "jijuXmLf__zX"
},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"import cv2\n",
"import os\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "yiVFvs-5ALOJ",
"outputId": "a8bb7556-095a-486d-aa8d-b9aa3009c603"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/drive\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"Datadirectory = '/content/drive/MyDrive/EyeDataSet/'\n",
"Classes = ['Closed_Eyes', 'Open_Eyes']"
],
"metadata": {
"id": "HS7u7dkFANb2"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"source": [
"img_size = 224\n",
"training_Data = []\n",
"\n",
"def create_training_Data():\n",
" for category in Classes:\n",
" path = os.path.join(Datadirectory, category)\n",
" class_num = Classes.index(category)\n",
" for img in os.listdir(path):\n",
" try:\n",
" img_array = cv2.imread(os.path.join(path,img), cv2.IMREAD_GRAYSCALE)\n",
" backtorgb = cv2.cvtColor(img_array, cv2.COLOR_GRAY2RGB)\n",
" new_array = cv2.resize(backtorgb, (img_size, img_size))\n",
" training_Data.append([new_array, class_num])\n",
" except Exception as e:\n",
" pass"
],
"metadata": {
"id": "oTJ8f16qAPoo"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"source": [
"create_training_Data()"
],
"metadata": {
"id": "1QsvbCFLAVXN"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"source": [
"print(len(training_Data))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8bv9AOndAXx3",
"outputId": "0a689abc-d8b1-40ee-c4ad-1a2ed374b347"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"4001\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import random\n",
"random.shuffle(training_Data)"
],
"metadata": {
"id": "jqN_HYveAfC5"
},
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x = []\n",
"y = []\n",
"\n",
"for features,label in training_Data:\n",
" x.append(features)\n",
" y.append(label)\n",
"\n",
"X = np.array(x).reshape(-1, img_size, img_size, 3)\n",
"\n",
"X = X/255.0\n",
"\n",
"Y = np.array(y)"
],
"metadata": {
"id": "Jj-rVbo6AhTk"
},
"execution_count": 8,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"# Deep learning and model training"
],
"metadata": {
"id": "0S6MQXJMAxHQ"
}
},
{
"cell_type": "code",
"source": [
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"from tensorflow.keras import layers\n",
"from tensorflow.keras.models import Sequential\n",
"from tensorflow.keras.applications import MobileNetV2"
],
"metadata": {
"id": "Gwuvg8qlA1fO"
},
"execution_count": 9,
"outputs": []
},
{
"cell_type": "code",
"source": [
"cnn_model = MobileNetV2(input_shape = (224, 224, 3), include_top=False, weights='imagenet')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1sfasgXRA4nt",
"outputId": "69e4e5a7-705e-4d3f-e9d3-75f6f130b7a1"
},
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_224_no_top.h5\n",
"9406464/9406464 [==============================] - 1s 0us/step\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"cnn_model.summary()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "bXYOf6gWBAi7",
"outputId": "c4234f94-66ab-4c6f-cad6-3a5fe0ced57c"
},
"execution_count": 11,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Model: \"mobilenetv2_1.00_224\"\n",
"__________________________________________________________________________________________________\n",
" Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
" input_1 (InputLayer) [(None, 224, 224, 3)] 0 [] \n",
" \n",
" Conv1 (Conv2D) (None, 112, 112, 32) 864 ['input_1[0][0]'] \n",
" \n",
" bn_Conv1 (BatchNormalizati (None, 112, 112, 32) 128 ['Conv1[0][0]'] \n",
" on) \n",
" \n",
" Conv1_relu (ReLU) (None, 112, 112, 32) 0 ['bn_Conv1[0][0]'] \n",
" \n",
" expanded_conv_depthwise (D (None, 112, 112, 32) 288 ['Conv1_relu[0][0]'] \n",
" epthwiseConv2D) \n",
" \n",
" expanded_conv_depthwise_BN (None, 112, 112, 32) 128 ['expanded_conv_depthwise[0][0\n",
" (BatchNormalization) ]'] \n",
" \n",
" expanded_conv_depthwise_re (None, 112, 112, 32) 0 ['expanded_conv_depthwise_BN[0\n",
" lu (ReLU) ][0]'] \n",
" \n",
" expanded_conv_project (Con (None, 112, 112, 16) 512 ['expanded_conv_depthwise_relu\n",
" v2D) [0][0]'] \n",
" \n",
" expanded_conv_project_BN ( (None, 112, 112, 16) 64 ['expanded_conv_project[0][0]'\n",
" BatchNormalization) ] \n",
" \n",
" block_1_expand (Conv2D) (None, 112, 112, 96) 1536 ['expanded_conv_project_BN[0][\n",
" 0]'] \n",
" \n",
" block_1_expand_BN (BatchNo (None, 112, 112, 96) 384 ['block_1_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_1_expand_relu (ReLU) (None, 112, 112, 96) 0 ['block_1_expand_BN[0][0]'] \n",
" \n",
" block_1_pad (ZeroPadding2D (None, 113, 113, 96) 0 ['block_1_expand_relu[0][0]'] \n",
" ) \n",
" \n",
" block_1_depthwise (Depthwi (None, 56, 56, 96) 864 ['block_1_pad[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_1_depthwise_BN (Batc (None, 56, 56, 96) 384 ['block_1_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_1_depthwise_relu (Re (None, 56, 56, 96) 0 ['block_1_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_1_project (Conv2D) (None, 56, 56, 24) 2304 ['block_1_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_1_project_BN (BatchN (None, 56, 56, 24) 96 ['block_1_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_2_expand (Conv2D) (None, 56, 56, 144) 3456 ['block_1_project_BN[0][0]'] \n",
" \n",
" block_2_expand_BN (BatchNo (None, 56, 56, 144) 576 ['block_2_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_2_expand_relu (ReLU) (None, 56, 56, 144) 0 ['block_2_expand_BN[0][0]'] \n",
" \n",
" block_2_depthwise (Depthwi (None, 56, 56, 144) 1296 ['block_2_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_2_depthwise_BN (Batc (None, 56, 56, 144) 576 ['block_2_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_2_depthwise_relu (Re (None, 56, 56, 144) 0 ['block_2_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_2_project (Conv2D) (None, 56, 56, 24) 3456 ['block_2_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_2_project_BN (BatchN (None, 56, 56, 24) 96 ['block_2_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_2_add (Add) (None, 56, 56, 24) 0 ['block_1_project_BN[0][0]', \n",
" 'block_2_project_BN[0][0]'] \n",
" \n",
" block_3_expand (Conv2D) (None, 56, 56, 144) 3456 ['block_2_add[0][0]'] \n",
" \n",
" block_3_expand_BN (BatchNo (None, 56, 56, 144) 576 ['block_3_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_3_expand_relu (ReLU) (None, 56, 56, 144) 0 ['block_3_expand_BN[0][0]'] \n",
" \n",
" block_3_pad (ZeroPadding2D (None, 57, 57, 144) 0 ['block_3_expand_relu[0][0]'] \n",
" ) \n",
" \n",
" block_3_depthwise (Depthwi (None, 28, 28, 144) 1296 ['block_3_pad[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_3_depthwise_BN (Batc (None, 28, 28, 144) 576 ['block_3_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_3_depthwise_relu (Re (None, 28, 28, 144) 0 ['block_3_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_3_project (Conv2D) (None, 28, 28, 32) 4608 ['block_3_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_3_project_BN (BatchN (None, 28, 28, 32) 128 ['block_3_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_4_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_3_project_BN[0][0]'] \n",
" \n",
" block_4_expand_BN (BatchNo (None, 28, 28, 192) 768 ['block_4_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_4_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_4_expand_BN[0][0]'] \n",
" \n",
" block_4_depthwise (Depthwi (None, 28, 28, 192) 1728 ['block_4_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_4_depthwise_BN (Batc (None, 28, 28, 192) 768 ['block_4_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_4_depthwise_relu (Re (None, 28, 28, 192) 0 ['block_4_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_4_project (Conv2D) (None, 28, 28, 32) 6144 ['block_4_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_4_project_BN (BatchN (None, 28, 28, 32) 128 ['block_4_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_4_add (Add) (None, 28, 28, 32) 0 ['block_3_project_BN[0][0]', \n",
" 'block_4_project_BN[0][0]'] \n",
" \n",
" block_5_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_4_add[0][0]'] \n",
" \n",
" block_5_expand_BN (BatchNo (None, 28, 28, 192) 768 ['block_5_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_5_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_5_expand_BN[0][0]'] \n",
" \n",
" block_5_depthwise (Depthwi (None, 28, 28, 192) 1728 ['block_5_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_5_depthwise_BN (Batc (None, 28, 28, 192) 768 ['block_5_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_5_depthwise_relu (Re (None, 28, 28, 192) 0 ['block_5_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_5_project (Conv2D) (None, 28, 28, 32) 6144 ['block_5_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_5_project_BN (BatchN (None, 28, 28, 32) 128 ['block_5_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_5_add (Add) (None, 28, 28, 32) 0 ['block_4_add[0][0]', \n",
" 'block_5_project_BN[0][0]'] \n",
" \n",
" block_6_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_5_add[0][0]'] \n",
" \n",
" block_6_expand_BN (BatchNo (None, 28, 28, 192) 768 ['block_6_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_6_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_6_expand_BN[0][0]'] \n",
" \n",
" block_6_pad (ZeroPadding2D (None, 29, 29, 192) 0 ['block_6_expand_relu[0][0]'] \n",
" ) \n",
" \n",
" block_6_depthwise (Depthwi (None, 14, 14, 192) 1728 ['block_6_pad[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_6_depthwise_BN (Batc (None, 14, 14, 192) 768 ['block_6_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_6_depthwise_relu (Re (None, 14, 14, 192) 0 ['block_6_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_6_project (Conv2D) (None, 14, 14, 64) 12288 ['block_6_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_6_project_BN (BatchN (None, 14, 14, 64) 256 ['block_6_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_7_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_6_project_BN[0][0]'] \n",
" \n",
" block_7_expand_BN (BatchNo (None, 14, 14, 384) 1536 ['block_7_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_7_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_7_expand_BN[0][0]'] \n",
" \n",
" block_7_depthwise (Depthwi (None, 14, 14, 384) 3456 ['block_7_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_7_depthwise_BN (Batc (None, 14, 14, 384) 1536 ['block_7_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_7_depthwise_relu (Re (None, 14, 14, 384) 0 ['block_7_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_7_project (Conv2D) (None, 14, 14, 64) 24576 ['block_7_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_7_project_BN (BatchN (None, 14, 14, 64) 256 ['block_7_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_7_add (Add) (None, 14, 14, 64) 0 ['block_6_project_BN[0][0]', \n",
" 'block_7_project_BN[0][0]'] \n",
" \n",
" block_8_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_7_add[0][0]'] \n",
" \n",
" block_8_expand_BN (BatchNo (None, 14, 14, 384) 1536 ['block_8_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_8_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_8_expand_BN[0][0]'] \n",
" \n",
" block_8_depthwise (Depthwi (None, 14, 14, 384) 3456 ['block_8_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_8_depthwise_BN (Batc (None, 14, 14, 384) 1536 ['block_8_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_8_depthwise_relu (Re (None, 14, 14, 384) 0 ['block_8_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_8_project (Conv2D) (None, 14, 14, 64) 24576 ['block_8_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_8_project_BN (BatchN (None, 14, 14, 64) 256 ['block_8_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_8_add (Add) (None, 14, 14, 64) 0 ['block_7_add[0][0]', \n",
" 'block_8_project_BN[0][0]'] \n",
" \n",
" block_9_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_8_add[0][0]'] \n",
" \n",
" block_9_expand_BN (BatchNo (None, 14, 14, 384) 1536 ['block_9_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_9_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_9_expand_BN[0][0]'] \n",
" \n",
" block_9_depthwise (Depthwi (None, 14, 14, 384) 3456 ['block_9_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_9_depthwise_BN (Batc (None, 14, 14, 384) 1536 ['block_9_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_9_depthwise_relu (Re (None, 14, 14, 384) 0 ['block_9_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_9_project (Conv2D) (None, 14, 14, 64) 24576 ['block_9_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_9_project_BN (BatchN (None, 14, 14, 64) 256 ['block_9_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_9_add (Add) (None, 14, 14, 64) 0 ['block_8_add[0][0]', \n",
" 'block_9_project_BN[0][0]'] \n",
" \n",
" block_10_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_9_add[0][0]'] \n",
" \n",
" block_10_expand_BN (BatchN (None, 14, 14, 384) 1536 ['block_10_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_10_expand_relu (ReLU (None, 14, 14, 384) 0 ['block_10_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_10_depthwise (Depthw (None, 14, 14, 384) 3456 ['block_10_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_10_depthwise_BN (Bat (None, 14, 14, 384) 1536 ['block_10_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_10_depthwise_relu (R (None, 14, 14, 384) 0 ['block_10_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_10_project (Conv2D) (None, 14, 14, 96) 36864 ['block_10_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_10_project_BN (Batch (None, 14, 14, 96) 384 ['block_10_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_11_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_10_project_BN[0][0]'] \n",
" \n",
" block_11_expand_BN (BatchN (None, 14, 14, 576) 2304 ['block_11_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_11_expand_relu (ReLU (None, 14, 14, 576) 0 ['block_11_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_11_depthwise (Depthw (None, 14, 14, 576) 5184 ['block_11_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_11_depthwise_BN (Bat (None, 14, 14, 576) 2304 ['block_11_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_11_depthwise_relu (R (None, 14, 14, 576) 0 ['block_11_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_11_project (Conv2D) (None, 14, 14, 96) 55296 ['block_11_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_11_project_BN (Batch (None, 14, 14, 96) 384 ['block_11_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_11_add (Add) (None, 14, 14, 96) 0 ['block_10_project_BN[0][0]', \n",
" 'block_11_project_BN[0][0]'] \n",
" \n",
" block_12_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_11_add[0][0]'] \n",
" \n",
" block_12_expand_BN (BatchN (None, 14, 14, 576) 2304 ['block_12_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_12_expand_relu (ReLU (None, 14, 14, 576) 0 ['block_12_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_12_depthwise (Depthw (None, 14, 14, 576) 5184 ['block_12_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_12_depthwise_BN (Bat (None, 14, 14, 576) 2304 ['block_12_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_12_depthwise_relu (R (None, 14, 14, 576) 0 ['block_12_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_12_project (Conv2D) (None, 14, 14, 96) 55296 ['block_12_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_12_project_BN (Batch (None, 14, 14, 96) 384 ['block_12_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_12_add (Add) (None, 14, 14, 96) 0 ['block_11_add[0][0]', \n",
" 'block_12_project_BN[0][0]'] \n",
" \n",
" block_13_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_12_add[0][0]'] \n",
" \n",
" block_13_expand_BN (BatchN (None, 14, 14, 576) 2304 ['block_13_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_13_expand_relu (ReLU (None, 14, 14, 576) 0 ['block_13_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_13_pad (ZeroPadding2 (None, 15, 15, 576) 0 ['block_13_expand_relu[0][0]']\n",
" D) \n",
" \n",
" block_13_depthwise (Depthw (None, 7, 7, 576) 5184 ['block_13_pad[0][0]'] \n",
" iseConv2D) \n",
" \n",
" block_13_depthwise_BN (Bat (None, 7, 7, 576) 2304 ['block_13_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_13_depthwise_relu (R (None, 7, 7, 576) 0 ['block_13_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_13_project (Conv2D) (None, 7, 7, 160) 92160 ['block_13_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_13_project_BN (Batch (None, 7, 7, 160) 640 ['block_13_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_14_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_13_project_BN[0][0]'] \n",
" \n",
" block_14_expand_BN (BatchN (None, 7, 7, 960) 3840 ['block_14_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_14_expand_relu (ReLU (None, 7, 7, 960) 0 ['block_14_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_14_depthwise (Depthw (None, 7, 7, 960) 8640 ['block_14_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_14_depthwise_BN (Bat (None, 7, 7, 960) 3840 ['block_14_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_14_depthwise_relu (R (None, 7, 7, 960) 0 ['block_14_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_14_project (Conv2D) (None, 7, 7, 160) 153600 ['block_14_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_14_project_BN (Batch (None, 7, 7, 160) 640 ['block_14_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_14_add (Add) (None, 7, 7, 160) 0 ['block_13_project_BN[0][0]', \n",
" 'block_14_project_BN[0][0]'] \n",
" \n",
" block_15_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_14_add[0][0]'] \n",
" \n",
" block_15_expand_BN (BatchN (None, 7, 7, 960) 3840 ['block_15_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_15_expand_relu (ReLU (None, 7, 7, 960) 0 ['block_15_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_15_depthwise (Depthw (None, 7, 7, 960) 8640 ['block_15_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_15_depthwise_BN (Bat (None, 7, 7, 960) 3840 ['block_15_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_15_depthwise_relu (R (None, 7, 7, 960) 0 ['block_15_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_15_project (Conv2D) (None, 7, 7, 160) 153600 ['block_15_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_15_project_BN (Batch (None, 7, 7, 160) 640 ['block_15_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_15_add (Add) (None, 7, 7, 160) 0 ['block_14_add[0][0]', \n",
" 'block_15_project_BN[0][0]'] \n",
" \n",
" block_16_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_15_add[0][0]'] \n",
" \n",
" block_16_expand_BN (BatchN (None, 7, 7, 960) 3840 ['block_16_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_16_expand_relu (ReLU (None, 7, 7, 960) 0 ['block_16_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_16_depthwise (Depthw (None, 7, 7, 960) 8640 ['block_16_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_16_depthwise_BN (Bat (None, 7, 7, 960) 3840 ['block_16_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_16_depthwise_relu (R (None, 7, 7, 960) 0 ['block_16_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_16_project (Conv2D) (None, 7, 7, 320) 307200 ['block_16_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_16_project_BN (Batch (None, 7, 7, 320) 1280 ['block_16_project[0][0]'] \n",
" Normalization) \n",
" \n",
" Conv_1 (Conv2D) (None, 7, 7, 1280) 409600 ['block_16_project_BN[0][0]'] \n",
" \n",
" Conv_1_bn (BatchNormalizat (None, 7, 7, 1280) 5120 ['Conv_1[0][0]'] \n",
" ion) \n",
" \n",
" out_relu (ReLU) (None, 7, 7, 1280) 0 ['Conv_1_bn[0][0]'] \n",
" \n",
"==================================================================================================\n",
"Total params: 2257984 (8.61 MB)\n",
"Trainable params: 2223872 (8.48 MB)\n",
"Non-trainable params: 34112 (133.25 KB)\n",
"__________________________________________________________________________________________________\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# cnn_lstm_model = Sequential([\n",
"# cnn_model,\n",
"# layers.GlobalAveragePooling2D(),\n",
"# layers.Reshape((1, -1)),\n",
"# layers.LSTM(128)\n",
"# layers.Flatten(),\n",
"# layers.Dense(128, activation='relu'),\n",
"# layers.Dense(2, activation='sigmoid')\n",
"# ])\n"
],
"metadata": {
"id": "JYYPueXBBGcB"
},
"execution_count": 15,
"outputs": []
},
{
"cell_type": "code",
"source": [
"base_input = cnn_model.input\n",
"base_output = cnn_model.layers[-1].output\n",
"\n",
"flat_layer = layers.Flatten()(base_output)\n",
"reshaped_layer = layers.Reshape((1, -1))(flat_layer)\n",
"lstm_layer = layers.LSTM(64)(reshaped_layer)\n",
"\n",
"dense_layer = layers.Dense(1)(lstm_layer)\n",
"output_layer = layers.Activation('sigmoid')(dense_layer)\n",
"\n",
"cnn_lstm_model = keras.Model(inputs=base_input, outputs=output_layer)"
],
"metadata": {
"id": "I6ToiyowK7nr"
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "code",
"source": [
"cnn_lstm_model.summary()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YlmtMGrTLcsj",
"outputId": "32c0b9de-c581-471d-9b25-5c890ff40bf2"
},
"execution_count": 14,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Model: \"model\"\n",
"__________________________________________________________________________________________________\n",
" Layer (type) Output Shape Param # Connected to \n",
"==================================================================================================\n",
" input_1 (InputLayer) [(None, 224, 224, 3)] 0 [] \n",
" \n",
" Conv1 (Conv2D) (None, 112, 112, 32) 864 ['input_1[0][0]'] \n",
" \n",
" bn_Conv1 (BatchNormalizati (None, 112, 112, 32) 128 ['Conv1[0][0]'] \n",
" on) \n",
" \n",
" Conv1_relu (ReLU) (None, 112, 112, 32) 0 ['bn_Conv1[0][0]'] \n",
" \n",
" expanded_conv_depthwise (D (None, 112, 112, 32) 288 ['Conv1_relu[0][0]'] \n",
" epthwiseConv2D) \n",
" \n",
" expanded_conv_depthwise_BN (None, 112, 112, 32) 128 ['expanded_conv_depthwise[0][0\n",
" (BatchNormalization) ]'] \n",
" \n",
" expanded_conv_depthwise_re (None, 112, 112, 32) 0 ['expanded_conv_depthwise_BN[0\n",
" lu (ReLU) ][0]'] \n",
" \n",
" expanded_conv_project (Con (None, 112, 112, 16) 512 ['expanded_conv_depthwise_relu\n",
" v2D) [0][0]'] \n",
" \n",
" expanded_conv_project_BN ( (None, 112, 112, 16) 64 ['expanded_conv_project[0][0]'\n",
" BatchNormalization) ] \n",
" \n",
" block_1_expand (Conv2D) (None, 112, 112, 96) 1536 ['expanded_conv_project_BN[0][\n",
" 0]'] \n",
" \n",
" block_1_expand_BN (BatchNo (None, 112, 112, 96) 384 ['block_1_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_1_expand_relu (ReLU) (None, 112, 112, 96) 0 ['block_1_expand_BN[0][0]'] \n",
" \n",
" block_1_pad (ZeroPadding2D (None, 113, 113, 96) 0 ['block_1_expand_relu[0][0]'] \n",
" ) \n",
" \n",
" block_1_depthwise (Depthwi (None, 56, 56, 96) 864 ['block_1_pad[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_1_depthwise_BN (Batc (None, 56, 56, 96) 384 ['block_1_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_1_depthwise_relu (Re (None, 56, 56, 96) 0 ['block_1_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_1_project (Conv2D) (None, 56, 56, 24) 2304 ['block_1_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_1_project_BN (BatchN (None, 56, 56, 24) 96 ['block_1_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_2_expand (Conv2D) (None, 56, 56, 144) 3456 ['block_1_project_BN[0][0]'] \n",
" \n",
" block_2_expand_BN (BatchNo (None, 56, 56, 144) 576 ['block_2_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_2_expand_relu (ReLU) (None, 56, 56, 144) 0 ['block_2_expand_BN[0][0]'] \n",
" \n",
" block_2_depthwise (Depthwi (None, 56, 56, 144) 1296 ['block_2_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_2_depthwise_BN (Batc (None, 56, 56, 144) 576 ['block_2_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_2_depthwise_relu (Re (None, 56, 56, 144) 0 ['block_2_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_2_project (Conv2D) (None, 56, 56, 24) 3456 ['block_2_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_2_project_BN (BatchN (None, 56, 56, 24) 96 ['block_2_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_2_add (Add) (None, 56, 56, 24) 0 ['block_1_project_BN[0][0]', \n",
" 'block_2_project_BN[0][0]'] \n",
" \n",
" block_3_expand (Conv2D) (None, 56, 56, 144) 3456 ['block_2_add[0][0]'] \n",
" \n",
" block_3_expand_BN (BatchNo (None, 56, 56, 144) 576 ['block_3_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_3_expand_relu (ReLU) (None, 56, 56, 144) 0 ['block_3_expand_BN[0][0]'] \n",
" \n",
" block_3_pad (ZeroPadding2D (None, 57, 57, 144) 0 ['block_3_expand_relu[0][0]'] \n",
" ) \n",
" \n",
" block_3_depthwise (Depthwi (None, 28, 28, 144) 1296 ['block_3_pad[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_3_depthwise_BN (Batc (None, 28, 28, 144) 576 ['block_3_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_3_depthwise_relu (Re (None, 28, 28, 144) 0 ['block_3_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_3_project (Conv2D) (None, 28, 28, 32) 4608 ['block_3_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_3_project_BN (BatchN (None, 28, 28, 32) 128 ['block_3_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_4_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_3_project_BN[0][0]'] \n",
" \n",
" block_4_expand_BN (BatchNo (None, 28, 28, 192) 768 ['block_4_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_4_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_4_expand_BN[0][0]'] \n",
" \n",
" block_4_depthwise (Depthwi (None, 28, 28, 192) 1728 ['block_4_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_4_depthwise_BN (Batc (None, 28, 28, 192) 768 ['block_4_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_4_depthwise_relu (Re (None, 28, 28, 192) 0 ['block_4_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_4_project (Conv2D) (None, 28, 28, 32) 6144 ['block_4_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_4_project_BN (BatchN (None, 28, 28, 32) 128 ['block_4_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_4_add (Add) (None, 28, 28, 32) 0 ['block_3_project_BN[0][0]', \n",
" 'block_4_project_BN[0][0]'] \n",
" \n",
" block_5_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_4_add[0][0]'] \n",
" \n",
" block_5_expand_BN (BatchNo (None, 28, 28, 192) 768 ['block_5_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_5_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_5_expand_BN[0][0]'] \n",
" \n",
" block_5_depthwise (Depthwi (None, 28, 28, 192) 1728 ['block_5_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_5_depthwise_BN (Batc (None, 28, 28, 192) 768 ['block_5_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_5_depthwise_relu (Re (None, 28, 28, 192) 0 ['block_5_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_5_project (Conv2D) (None, 28, 28, 32) 6144 ['block_5_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_5_project_BN (BatchN (None, 28, 28, 32) 128 ['block_5_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_5_add (Add) (None, 28, 28, 32) 0 ['block_4_add[0][0]', \n",
" 'block_5_project_BN[0][0]'] \n",
" \n",
" block_6_expand (Conv2D) (None, 28, 28, 192) 6144 ['block_5_add[0][0]'] \n",
" \n",
" block_6_expand_BN (BatchNo (None, 28, 28, 192) 768 ['block_6_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_6_expand_relu (ReLU) (None, 28, 28, 192) 0 ['block_6_expand_BN[0][0]'] \n",
" \n",
" block_6_pad (ZeroPadding2D (None, 29, 29, 192) 0 ['block_6_expand_relu[0][0]'] \n",
" ) \n",
" \n",
" block_6_depthwise (Depthwi (None, 14, 14, 192) 1728 ['block_6_pad[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_6_depthwise_BN (Batc (None, 14, 14, 192) 768 ['block_6_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_6_depthwise_relu (Re (None, 14, 14, 192) 0 ['block_6_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_6_project (Conv2D) (None, 14, 14, 64) 12288 ['block_6_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_6_project_BN (BatchN (None, 14, 14, 64) 256 ['block_6_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_7_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_6_project_BN[0][0]'] \n",
" \n",
" block_7_expand_BN (BatchNo (None, 14, 14, 384) 1536 ['block_7_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_7_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_7_expand_BN[0][0]'] \n",
" \n",
" block_7_depthwise (Depthwi (None, 14, 14, 384) 3456 ['block_7_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_7_depthwise_BN (Batc (None, 14, 14, 384) 1536 ['block_7_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_7_depthwise_relu (Re (None, 14, 14, 384) 0 ['block_7_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_7_project (Conv2D) (None, 14, 14, 64) 24576 ['block_7_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_7_project_BN (BatchN (None, 14, 14, 64) 256 ['block_7_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_7_add (Add) (None, 14, 14, 64) 0 ['block_6_project_BN[0][0]', \n",
" 'block_7_project_BN[0][0]'] \n",
" \n",
" block_8_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_7_add[0][0]'] \n",
" \n",
" block_8_expand_BN (BatchNo (None, 14, 14, 384) 1536 ['block_8_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_8_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_8_expand_BN[0][0]'] \n",
" \n",
" block_8_depthwise (Depthwi (None, 14, 14, 384) 3456 ['block_8_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_8_depthwise_BN (Batc (None, 14, 14, 384) 1536 ['block_8_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_8_depthwise_relu (Re (None, 14, 14, 384) 0 ['block_8_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_8_project (Conv2D) (None, 14, 14, 64) 24576 ['block_8_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_8_project_BN (BatchN (None, 14, 14, 64) 256 ['block_8_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_8_add (Add) (None, 14, 14, 64) 0 ['block_7_add[0][0]', \n",
" 'block_8_project_BN[0][0]'] \n",
" \n",
" block_9_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_8_add[0][0]'] \n",
" \n",
" block_9_expand_BN (BatchNo (None, 14, 14, 384) 1536 ['block_9_expand[0][0]'] \n",
" rmalization) \n",
" \n",
" block_9_expand_relu (ReLU) (None, 14, 14, 384) 0 ['block_9_expand_BN[0][0]'] \n",
" \n",
" block_9_depthwise (Depthwi (None, 14, 14, 384) 3456 ['block_9_expand_relu[0][0]'] \n",
" seConv2D) \n",
" \n",
" block_9_depthwise_BN (Batc (None, 14, 14, 384) 1536 ['block_9_depthwise[0][0]'] \n",
" hNormalization) \n",
" \n",
" block_9_depthwise_relu (Re (None, 14, 14, 384) 0 ['block_9_depthwise_BN[0][0]']\n",
" LU) \n",
" \n",
" block_9_project (Conv2D) (None, 14, 14, 64) 24576 ['block_9_depthwise_relu[0][0]\n",
" '] \n",
" \n",
" block_9_project_BN (BatchN (None, 14, 14, 64) 256 ['block_9_project[0][0]'] \n",
" ormalization) \n",
" \n",
" block_9_add (Add) (None, 14, 14, 64) 0 ['block_8_add[0][0]', \n",
" 'block_9_project_BN[0][0]'] \n",
" \n",
" block_10_expand (Conv2D) (None, 14, 14, 384) 24576 ['block_9_add[0][0]'] \n",
" \n",
" block_10_expand_BN (BatchN (None, 14, 14, 384) 1536 ['block_10_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_10_expand_relu (ReLU (None, 14, 14, 384) 0 ['block_10_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_10_depthwise (Depthw (None, 14, 14, 384) 3456 ['block_10_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_10_depthwise_BN (Bat (None, 14, 14, 384) 1536 ['block_10_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_10_depthwise_relu (R (None, 14, 14, 384) 0 ['block_10_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_10_project (Conv2D) (None, 14, 14, 96) 36864 ['block_10_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_10_project_BN (Batch (None, 14, 14, 96) 384 ['block_10_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_11_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_10_project_BN[0][0]'] \n",
" \n",
" block_11_expand_BN (BatchN (None, 14, 14, 576) 2304 ['block_11_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_11_expand_relu (ReLU (None, 14, 14, 576) 0 ['block_11_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_11_depthwise (Depthw (None, 14, 14, 576) 5184 ['block_11_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_11_depthwise_BN (Bat (None, 14, 14, 576) 2304 ['block_11_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_11_depthwise_relu (R (None, 14, 14, 576) 0 ['block_11_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_11_project (Conv2D) (None, 14, 14, 96) 55296 ['block_11_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_11_project_BN (Batch (None, 14, 14, 96) 384 ['block_11_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_11_add (Add) (None, 14, 14, 96) 0 ['block_10_project_BN[0][0]', \n",
" 'block_11_project_BN[0][0]'] \n",
" \n",
" block_12_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_11_add[0][0]'] \n",
" \n",
" block_12_expand_BN (BatchN (None, 14, 14, 576) 2304 ['block_12_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_12_expand_relu (ReLU (None, 14, 14, 576) 0 ['block_12_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_12_depthwise (Depthw (None, 14, 14, 576) 5184 ['block_12_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_12_depthwise_BN (Bat (None, 14, 14, 576) 2304 ['block_12_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_12_depthwise_relu (R (None, 14, 14, 576) 0 ['block_12_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_12_project (Conv2D) (None, 14, 14, 96) 55296 ['block_12_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_12_project_BN (Batch (None, 14, 14, 96) 384 ['block_12_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_12_add (Add) (None, 14, 14, 96) 0 ['block_11_add[0][0]', \n",
" 'block_12_project_BN[0][0]'] \n",
" \n",
" block_13_expand (Conv2D) (None, 14, 14, 576) 55296 ['block_12_add[0][0]'] \n",
" \n",
" block_13_expand_BN (BatchN (None, 14, 14, 576) 2304 ['block_13_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_13_expand_relu (ReLU (None, 14, 14, 576) 0 ['block_13_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_13_pad (ZeroPadding2 (None, 15, 15, 576) 0 ['block_13_expand_relu[0][0]']\n",
" D) \n",
" \n",
" block_13_depthwise (Depthw (None, 7, 7, 576) 5184 ['block_13_pad[0][0]'] \n",
" iseConv2D) \n",
" \n",
" block_13_depthwise_BN (Bat (None, 7, 7, 576) 2304 ['block_13_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_13_depthwise_relu (R (None, 7, 7, 576) 0 ['block_13_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_13_project (Conv2D) (None, 7, 7, 160) 92160 ['block_13_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_13_project_BN (Batch (None, 7, 7, 160) 640 ['block_13_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_14_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_13_project_BN[0][0]'] \n",
" \n",
" block_14_expand_BN (BatchN (None, 7, 7, 960) 3840 ['block_14_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_14_expand_relu (ReLU (None, 7, 7, 960) 0 ['block_14_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_14_depthwise (Depthw (None, 7, 7, 960) 8640 ['block_14_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_14_depthwise_BN (Bat (None, 7, 7, 960) 3840 ['block_14_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_14_depthwise_relu (R (None, 7, 7, 960) 0 ['block_14_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_14_project (Conv2D) (None, 7, 7, 160) 153600 ['block_14_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_14_project_BN (Batch (None, 7, 7, 160) 640 ['block_14_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_14_add (Add) (None, 7, 7, 160) 0 ['block_13_project_BN[0][0]', \n",
" 'block_14_project_BN[0][0]'] \n",
" \n",
" block_15_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_14_add[0][0]'] \n",
" \n",
" block_15_expand_BN (BatchN (None, 7, 7, 960) 3840 ['block_15_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_15_expand_relu (ReLU (None, 7, 7, 960) 0 ['block_15_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_15_depthwise (Depthw (None, 7, 7, 960) 8640 ['block_15_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_15_depthwise_BN (Bat (None, 7, 7, 960) 3840 ['block_15_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_15_depthwise_relu (R (None, 7, 7, 960) 0 ['block_15_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_15_project (Conv2D) (None, 7, 7, 160) 153600 ['block_15_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_15_project_BN (Batch (None, 7, 7, 160) 640 ['block_15_project[0][0]'] \n",
" Normalization) \n",
" \n",
" block_15_add (Add) (None, 7, 7, 160) 0 ['block_14_add[0][0]', \n",
" 'block_15_project_BN[0][0]'] \n",
" \n",
" block_16_expand (Conv2D) (None, 7, 7, 960) 153600 ['block_15_add[0][0]'] \n",
" \n",
" block_16_expand_BN (BatchN (None, 7, 7, 960) 3840 ['block_16_expand[0][0]'] \n",
" ormalization) \n",
" \n",
" block_16_expand_relu (ReLU (None, 7, 7, 960) 0 ['block_16_expand_BN[0][0]'] \n",
" ) \n",
" \n",
" block_16_depthwise (Depthw (None, 7, 7, 960) 8640 ['block_16_expand_relu[0][0]']\n",
" iseConv2D) \n",
" \n",
" block_16_depthwise_BN (Bat (None, 7, 7, 960) 3840 ['block_16_depthwise[0][0]'] \n",
" chNormalization) \n",
" \n",
" block_16_depthwise_relu (R (None, 7, 7, 960) 0 ['block_16_depthwise_BN[0][0]'\n",
" eLU) ] \n",
" \n",
" block_16_project (Conv2D) (None, 7, 7, 320) 307200 ['block_16_depthwise_relu[0][0\n",
" ]'] \n",
" \n",
" block_16_project_BN (Batch (None, 7, 7, 320) 1280 ['block_16_project[0][0]'] \n",
" Normalization) \n",
" \n",
" Conv_1 (Conv2D) (None, 7, 7, 1280) 409600 ['block_16_project_BN[0][0]'] \n",
" \n",
" Conv_1_bn (BatchNormalizat (None, 7, 7, 1280) 5120 ['Conv_1[0][0]'] \n",
" ion) \n",
" \n",
" out_relu (ReLU) (None, 7, 7, 1280) 0 ['Conv_1_bn[0][0]'] \n",
" \n",
" flatten (Flatten) (None, 62720) 0 ['out_relu[0][0]'] \n",
" \n",
" reshape (Reshape) (None, 1, 62720) 0 ['flatten[0][0]'] \n",
" \n",
" lstm (LSTM) (None, 64) 1607296 ['reshape[0][0]'] \n",
" 0 \n",
" \n",
" dense (Dense) (None, 1) 65 ['lstm[0][0]'] \n",
" \n",
" activation (Activation) (None, 1) 0 ['dense[0][0]'] \n",
" \n",
"==================================================================================================\n",
"Total params: 18331009 (69.93 MB)\n",
"Trainable params: 18296897 (69.80 MB)\n",
"Non-trainable params: 34112 (133.25 KB)\n",
"__________________________________________________________________________________________________\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"cnn_lstm_model.compile(loss=\"binary_crossentropy\", optimizer=\"adam\", metrics = [\"accuracy\"])\n",
"cnn_lstm_model.fit(X,Y, epochs = 6, validation_split = 0.1) ##training\n",
"cnn_lstm_model.save('model_CNN_LSTM')"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ohZ19jvlHBRR",
"outputId": "efabbdc0-2941-4c0d-a6ab-a6ed24ddba70"
},
"execution_count": 16,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Epoch 1/6\n",
"113/113 [==============================] - 51s 164ms/step - loss: 0.0410 - accuracy: 0.9869 - val_loss: 0.4024 - val_accuracy: 0.8803\n",
"Epoch 2/6\n",
"113/113 [==============================] - 16s 139ms/step - loss: 0.0202 - accuracy: 0.9947 - val_loss: 0.1296 - val_accuracy: 0.9676\n",
"Epoch 3/6\n",
"113/113 [==============================] - 16s 141ms/step - loss: 0.0032 - accuracy: 0.9992 - val_loss: 0.0670 - val_accuracy: 0.9776\n",
"Epoch 4/6\n",
"113/113 [==============================] - 16s 142ms/step - loss: 0.0069 - accuracy: 0.9989 - val_loss: 0.1967 - val_accuracy: 0.9626\n",
"Epoch 5/6\n",
"113/113 [==============================] - 16s 143ms/step - loss: 0.0020 - accuracy: 0.9997 - val_loss: 0.1475 - val_accuracy: 0.9751\n",
"Epoch 6/6\n",
"113/113 [==============================] - 16s 143ms/step - loss: 6.3592e-04 - accuracy: 1.0000 - val_loss: 0.0779 - val_accuracy: 0.9875\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Check network prediction (open eye)"
],
"metadata": {
"id": "OX_csIkbNqBt"
}
},
{
"cell_type": "code",
"source": [
"eye_img = cv2.imread('s0012_08180_0_0_1_1_0_02.png', cv2.IMREAD_GRAYSCALE)\n",
"backtorgb = cv2.cvtColor(eye_img, cv2.COLOR_GRAY2RGB)\n",
"new_eye_image = cv2.resize(backtorgb, (img_size, img_size))\n",
"\n",
"model_input = np.array(new_eye_image).reshape(1, img_size, img_size, 3)\n",
"plt.imshow(new_eye_image)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 451
},
"id": "HrFVC63DNuIa",
"outputId": "aa856bd2-bcc9-493b-8590-81c75a63f129"
},
"execution_count": 20,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x797842716950>"
]
},
"metadata": {},
"execution_count": 20
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"model_input = model_input/255.0\n",
"prediction = cnn_lstm_model.predict(model_input)\n",
"prediction"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6B47UQF6N1Xs",
"outputId": "6f09afe7-9edd-451a-8bf9-59a2a0b1e9cc"
},
"execution_count": 21,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1/1 [==============================] - 0s 26ms/step\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[0.00019243]], dtype=float32)"
]
},
"metadata": {},
"execution_count": 21
}
]
},
{
"cell_type": "markdown",
"source": [
"# network prediction"
],
"metadata": {
"id": "Yhq8JEoQOq93"
}
},
{
"cell_type": "code",
"source": [
"def predict_eye(image_path, image_class):\n",
"\n",
" eye_img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)\n",
" backtorgb = cv2.cvtColor(eye_img, cv2.COLOR_GRAY2RGB)\n",
" new_eye_image = cv2.resize(backtorgb, (img_size, img_size))\n",
"\n",
" model_input = np.array(new_eye_image).reshape(1, img_size, img_size, 3)\n",
" plt.imshow(new_eye_image)\n",
"\n",
" model_input = model_input/255.0\n",
" prediction = cnn_lstm_model.predict(model_input)\n",
"\n",
" formatted_prediction = \"{:0.6f}\".format(prediction[0][0])\n",
"\n",
" return image_class, formatted_prediction"
],
"metadata": {
"id": "nX8qXk_UPSPf"
},
"execution_count": 36,
"outputs": []
},
{
"cell_type": "code",
"source": [
"image_class, prediction = predict_eye('s0012_08180_0_0_1_1_0_02.png', 'open')\n",
"print(image_class, prediction)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 469
},
"id": "IPA8k_ysQOKA",
"outputId": "7bebb04c-306d-4817-e37c-e50e0fd83d21"
},
"execution_count": 37,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1/1 [==============================] - 0s 27ms/step\n",
"open 0.999007\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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WaU85lsrgVWCezhwqkOLyVWCfGFhXntubBM5u1rEqLRn7STBX48Ptdf1WwdE9/e9+s9zJt9oU0AEF8lb3B1RfHF8FUEtAUtl2tdQ8lZHLK8DgRICvVcmR8hVOKCL0Mpiqi0uBOBNJAOn+mFD1UfU921CzQ/V2jwmAODDOvrCemfdSuznQIMWkAqO6zsdISwKnC8R4XQFVFUgwq3EAVcmjDIPlrQxRGSDL6Mq69pYQ62vpOHZJSkesb9dWZz8YwJAvB2R1D0L1yc02uuDMddSOO0Uq6+0AqgNIblclXhzwuTzzVLLiM0Z43c1GqoSP+bsVB6VTp69MOnBrdsTuZ6NyZoP3lLqxcP6Lz3ShTyUgMmipd++5sea/7UDgc2O2hA40SDFqc5ZeBVx1jY2bqZqd4bW9BDYHTszD9bMDNRV8sJ6SlR3HAV/Vz+ksDwNKBzYsf5ekOFJBqpLPycQZtCLUJTo21sV+5LcbHwyceN71qQM11XeX1EzGftKW46NsgfukgjXrw+ma+VSkeKt+TROq7BMmJxx7+KWxitRzig5osQ7rL19fxMt/bJcMiAx82Q/1z70TXSo60CDFSoro75NMHQpJDURXZ3rdBe8KNCr+HNhcRjSRSwUA137Fk2VSsqussCPX9wm4VY7vgD2vdbLhX23zt9MpB608N9EXj6lKXLg/HS2tM/ElJx/LHrF7qcwloB1Qsn6cn01jgWtvwsfpRMmH9oC+zODiZsZoO8rOInZv7MAkPWdx2C/l6wqs8O3r1RvRJ3YYccBBSpHLvPIafudxluXnkLqb565dbi/JBUV2UDbOCXF2yH1ahZSRq8Rgr+QCzgQQmAfSBKhUfc4KGYDdTJXHkQlnUdwmB4IlfauCxtKkisthEHTt8bmKHx5zUqHqVADl2k27d+1iuUnAZHvnpAD70PlaBa74m5cVcUaCz3HxA7wROzfjsI0h8HR2zC/aTX9A+ZC3khH5TZJuRQcapBQIYYB2BjBxWsfHGZcKMi6DUW04eSr5KlkrPVS8nKxOpkreCThWgW8JdYGMy3aypzz8jEvVfnUex6IKdkwO0FhOPs5yU9CbtL9fIIXnUCfVDJbrcNt7IZcEVOWnup7W72TipBXtE+u4WaabQeIMrYtD/Olk7vo2LX+gQaoiZczdcf7GLaCOd3VuyWCxUfGDd4rUlL4CKq6neFWUywCrBqGOOuPvaNJ3B1R8nWcOW1tbO5bv0qm5XbzOx0nq3lEFgChzZszZPr4nDfl01NkpB0Hk282qKr6qXcz2lb5ckFUycB/cLIH7qeTjBFDVxX6z/U0ADjdLKBmQH/seL9OxnKhPnJHhX8G4re4oo7Kvys54XCtfWOLnBxqkpksEed6RK6eCnhukVbJslkHNxhwf5YBsFJXDdI7oyk9kq853GVrVRsffJSaK1Jh3AVgtk0weGnXt4rmq70o/anOAqqcya9dOtRqwl8SsApVMzCqgXjJLYcLxqvqgnu3hmQvWUYCiqBrPBJGs2z2DleXw7eFqWdDFwEuXLsXm5mZsbe18MWxlww6kWAf4/j61yQL55fWr4i3oLihVgb7ihXWds+Ja95LgvmTpa8KPz3WgVfGZyDaVp8siO5oGPpVZr9IPBUiVDErXS9p1ycMEpPC4CrhqZqnquISMr63iT45YHgzUe22DwaWbTTnQV0me09107CvbqkCcy1Y8+OWuzIcBjV/+2vUFy6p7fgxQTk58RmxCBxqkFFVO7AyWHcc9gMm8OXtR01rFp5NfEc/q8pudEc872m+A4u8qyKvfewlO02TB1UUZukCk3nnWZdCs62rGoM6xTfLLT6vZR5LbNq0AmOVxAacCv46qQK2SniWA4HzDgQ2/Xy9i99/lsJzK56p+Vrrj8nmO/6+pSzh4VuYSIXymCWewUz9im8xj9+YK7CfOoPJ7QgcapNwgr+o4mFG4oMXnq4xrlVlFBXKT4FjVXUrKKbh/LBvrQi03uSBVZZLcHwXYk7508qj22IGXjKvSgUuSFC8HCCpbVnZZ9dOBlAKoClic7Or3pO4Smq4cTO0rr6vZaPKuEhM1JlM9LZEPv52srm7aDn6rP1lE3hHPgjdu4lC2gm+ecM+sLYnRVwRIKUdWDsjGp5wyvysnd849kdNRFQQVGHTOgnymQbXKpKdT826W2gHVXmiaCXbHyI9tpeKnyL0slJ08CTfOqI0K00cTONma6Fa9xqcDto7UmDsgn/JnO62Stwk4TVceqhmZ64vruyozITcmCqhQN2zr+dceKA/PIF1yvL6+Lu+L4dsz8v2g7u95lvT5QIOUeu5EGYYCqLzO4OCMitdgt7aefZtw1mXqsklnDMpp8Fz1fzAsi+pfF5AdQLkMy+mwysyZ3yoApXSgAn/XTpV0dOPqdKnKZ995jNlO85zbUdmBHfPtdmYqv2C7r/roArcaa/V8jaqLPNw4c3224ek4OR1zkpIBmvk6v0hi/1H+7XwGz7m+VICn4gmPhfu7ebW0jbdCeCcyxooELH7TOtr1VXFPqjJEPlZBWFGF+upblUdeSqYKUFxWqM532bRyZKbOwVzf8Hylg6rNpVkkA+C07gQMO8B19avEg4N0ftwT+OoYgY3rTGYfyMONVfVWkiogdvLzuUlAd22pse/OITlwdLK6xLaqU5EbR65fJUwdf3XMY4v6QcBJ4OAHgV3Mcf3IDy8pYtsq6a3owIOUc1RnrAqwOgOcBFMXSPjYBUP1wWtY1pGrMyEnaxXUnUNxZoeGi9/cbid7NZ4sgyvP5MbMPb+yhHeWU0FfZeUsuwIYnm1VfWBeTm71Lreq/MS21NjvhR/zZj0on+HYwDbu+sxlJ0lYFX8U/24cKxDgdlQZ1k31r9z54Y1B+D4/bKuy/eR54cKFXcDHm36uCpDqqAp2LvNaOitgfhV1WeMEpKp+ufIVWKpyroyTv3sBLTuDM9Tp7GiVGd+ET5XldrroAq3rOwYodQ0BatrnKkHryMlX8a14V/wc8QwK+XerAkvGkGV0AIrX1GvGXN0OpJRsVcyqynQ+zqCVfonb1lG2/KiXbrMsCnCTJ7/H0slX0RUNUhV1AJVl8BvJLTW4thxxlpO/81oX/NSMTPWloioAT4Id950d0IGU41PpUrW3FJimMwE+XtJOlleArAKeKsN1J7qp+lGd4/NLxqfTSzXeyHc/Zv8q0XPEG0Ucra2t7UrEqljhgja2oZ4nciA00S+2ofqDMyIGKuST/az+dmMih/pDR1e+owMPUksDh6rbBUQmBwRVcFczJQYoHMglzlbJPdXPNNt1yzYuw2UnVL+RRzrF1DGXEr4aZi+2U5HSIScf+a2CiRq7VYGpAgZ1fkkg6oCKkzhXlmdOqt7EvhhAnZ8iry4RVf3h/qu/y+DjbAt9moFKrUaoFRUlfyV3lsV7UGiPKUeey9mT+uv5rg2lo7285DriCgCppP0OOJVTRayW7ThwYgOswKka7IlMneOpN2rwkkeVFatjlVWqb2xrCXVZMB+jbl3gWdKeWwpx7fOxqrs0uZisAlR6n7SB1AHPknN8ncdmahMdgOa4Kz2oMV0lwVPXVHs4k6nGhf3Q2Q3KXV3nGVUnL/+ubB3PYf/2mhAeaJDirGO/eK4qR0WVoa06W1JyqGNs35FafsDMi88hXwVKVQCYyL/ftJdZaUcOlF0m3/GpgjvPFlQAmQZNJ//079wnKxDd+E+Tgr0sBWY7CvS6QKt4qiRnmgyodqd2796EPqWJXeTMx71UOtvmVR/uF+8c5BnVkvGc/2HSkB588MF42cteFidOnIibbropvvVbvzU+/vGP7yjz8pe/fNeM4S/8hb+wuC0MiOq9UdXH8WO+rp4Lxp1Dcpkljo797D6YpXVyqX4hj4sXL9r3clU6Y1mqDRQsz9Kxc/rOb/Wp2qx0xX1UfWX9Oz5K3qpNNwadDBO9KnknY7qq/bnxUWOxZPzd+PIx8+p8zNkiy+jkXdWenf9P+HTxSPHvxlm1qWZYygac7iva95nUBz7wgbj77rvjZS97WWxubsb3f//3x6tf/er49//+38f111+/Xe4tb3lLvO1tb9v+fd111y1uS3W+W1LBgXHH+M11XcDhDIczBuU0almDr0+Mr8qsclnRGRTWw76rtw9g/S6gcsDDPlbZlAocPKZOJ4pvBVCKlxp/tUSEx+qhRB4/7gfLl+R4dfp3dqn65YIzlsMlIQdgijq5nF90Y6HKqawezy8NiNhX5MWyVs+5IZ+qHSVvJatawVhlVqLaxHZ523hle/yXNcwPH+xVvjAdl30Hqfe+9707fr/zne+Mm266KT7ykY/EN33TN22fv+666+KWW27ZU1vK8dGA3XUXHFUwXLpUs8qyxH4v96mpdv5WSxUu20EjS0LD7WYjq2RNqj9LxsFRBYhdQHEAVQG/07nik+UYSKrgxTwmoFWdd+X47QBVn6f83Wx2PwlnZXhuKamxSl7q3s60/1Wi1fFAO1n6klj2TwYilfCq2IY2MUlYI2LXJrGpLe77ch/TY489FhERp0+f3nH+J3/yJ+N5z3tefM3XfE3cf//98dRTT1ke586di7Nnz+74JLkshh1eKV1lPC7jrpYjKn5ZXxEP/n4CFcqjpu0uQ66+qw/zVlT1j3Xp+uXaV21Ng3wnT/dhftMZ3ZK2sNxkCdX5wITUuHb6dn1h6ma2rqy6jm1yPazPr+ZZBVwnOuns0vV90k83O1T218lfxccqFlTlMZYpMGO9VXGC6bJunLh06VJ83/d9X/zRP/pH42u+5mu2z3/Hd3xHvPCFL4wzZ87Exz72sXjrW98aH//4x+Of/tN/Kvk8+OCD8cADD4zbVQEDr7lz7mWIircKehyUKtmcs+x1Cs9ycQaM/WRHcsCk5Ffl+Mauk5H7x0bekXL+rn5ex+dAXCBlx3NLcK5f+Mm/LOAZbHWvSM1g3Zgom9uvZAfldICzhFxQTt+pgpYDFieD+7sNZc98zmX5aOPujxo7/+Zr7HM4I3I2pkDD/XEhz9CxH/nOvoidqy8uBuI1V559C+05r6dPKL+SfdiawtkK9D3f8z3xcz/3c/Gv//W/ji/5ki+x5d7//vfHK1/5yvjEJz4RX/7lX77r+rlz5+LcuXPbv8+ePRu33nqr/M+SVExlJMqAMXgrY0DeTmXofOqBXL6e3/xfLJPMEfuZZXlphvXCMlROO910gbwdSKm2VZvc76lpIk83tni96j/LPNGBG3M1pshzsqmhkmsCUG4s8HrVN34ok/vn5HOyKJDKehM9V8lBJ58Cek7iusQFbbz7V2b1ImiW2yWKfMxyqD67F0+zbjGBwnIYj/jv5fnjwJiBKQEUwQlB6td//dfjsccei5MnT1o9XraZ1D333BPvec974oMf/GAJUBERt99+e0SEBanjx4/H8ePHd52vwMKVTeXwAOMgqsDdtVkRgqZyngpQuT8qK8pvNg6s44KbAyq3DMjycB+d/FX/kGdXzgUp5lEFLddn1VYXNDv52daQL2eSvIxUEQN7tj3tlyvPVI2HqjsFSdc2n1c6VvzZ3qvZUH47H2I5XX8mttH1cZoIOhmYXNKp6k026UzjhbqONp5/75HAzn/3UdG+g9TW1lZ87/d+b/yzf/bP4hd/8RfjRS96UVvnox/9aEREvOAFL1jcljKiKjtmA87yCV55br9Jzaaq4F1lxs753BZi9c3XHS+ui/pS8qk+dDQJlhMerFOl80nwV9+qPfzG+hUYRvg3FLgxVO1wey4QVX1yAdiBwdIx4sRAyd3VZ3m6vibxEhPKUIGSknVVmvTxcrZXgR9fQ79OO1SzJCyvZM/f6r43v8Fiuty37yB19913x7ve9a74mZ/5mThx4kQ8/PDDERFx6tSpuPbaa+OTn/xkvOtd74pv/uZvjhtvvDE+9rGPxb333hvf9E3fFC9+8YsXt+eACo+dg7isbmpc3NZELhVEJ3XxmnMslZVVQbcCLpdpptysQyW/chp1ftLnipY4eeVoXfBCcjOEvFbpvZrt8tZ/1dZScrJUSZ6bwVR6wbrTbL+aHTlS/t0lp0r+DqDQT53NrkrJs7MzlKMipQPFe5LsKHBbEhO7cUgA/ILdk3Idecc73hHf9V3fFb/1W78V3/md3xm/9mu/Fk8++WTceuut8af+1J+KH/iBHyjXJZHOnj0bp06d2tGe+05Szxl0x12fVF03U3Lru27NF/khZSBTM51uqahy0M64J4Gl0h3X5ywbA3I3E3Ftpz6dDGqcua0lgUPNztbWdq71q/tOirh9VXbVmQf2xfGsbI5lVHyS1H05rK/adVm5ktOdm4yZSgrUeZYPSSUYrn3Xt7RTlfw5OSakyi6xIfSh9fX12NjY2BW3kIfTPx6rGVnyu3TpUvyn//Sffv/vSXVB5dZbb40PfOAD+9oeZ1POWbvgXZVhQuNbkmG4GUSXDWZZBVJ4rQvsLhA7QHI8kKZ66wL0NGOs2lbZmbMHdjK3DLdUJt64stexmcjjfEDVYXtX9ufApZLHzThcX5b4G7bh2qx4TnSn+PM55b/TMXPyTeVVfVe0V51O7JUBmHWY59gO89o0AY044O/uS1LOmeQyoqy3CrkBmcjIbSvnqoIMBlMXDLket9tlkUup0r/qG/bb8VPfbgyV7lQARVvY2vJr5BM98PhU9zMxuZgmAPi9RB6e3akZo2qzs+Mlgb+yXSwzARdnT9y3Keh1SQK360DR1VeghLzzHL+FwYEXBnvu+7Qv3Cc+VjI4oOomADwW6o8O2Wc6uiJAakpVFjMFm71SDhL+2Zh6vUjlCG5bcFcXy3K9zsmr4LVkJqnqsQFPsvilxA6HgWKVtlxw4eSBM8cqcGd5lnmJPHnMLwBVx9W5JHWPrEsu+BkaBZpTu1GJm5J5lVkZt8Hn1Kx0SZDlxEFdq2RYlfYj2cznqHDc1tZ2PxhdtTmZ1U/oigSpiQOoYOEy8FUdDHlgm5xtcNtdpqYC7hKAYsNRRjQNIFWmi+cmvCakZHXA5oIP1uEg6tqrZJ6AyRSkqnamMi0FInWd9TsBqW6WoXyJ2+t4X+5k0iUfTs5ubBRAKf4TO5gkVM4WlySSVWI1SSg5trh+Tn3+igQpR5NAUgXd/XAOlfFm5sLPdiiHcMFuVdprljOlVWYpSUsy7gqw1fkqy50ClDvnlk9c/YidLy/d6zgjCHflFLmkyBHr1emby6sZtZPTgd1e9eSSVj6X31NQqRKGpbM/B/D7XRd1jLNifk8g8pvY2ap0RYBUl0UvyWJVgOSgs3QwVHmVZbityfyNfWH5Kqd1M0X8ngCEyzadbqqsryunApMqr4LiJBNGuZfI3l1DvnmMTo/nqjpMDDzVeGZgwfNKfnetAyk3A3f+os5PEgm81iUOk7Gfyq9k69pYQvvFh/kpnm52M0nE+CXVeI7BSyXabiym/T7wIOWCbPeN5IJBXsOBnC6lTLPYCpCUbCpgTJYTkNeqy1sVrZIRTuqjU3EyUiUUS4EKeXQyORlUME5Sb/BQcnTZN/+ubM/dP1DEYFqB04RcEJwCVWefk8DX2ZnyawWE3Zjx76rvbvlrAhpVv7prE4B219gH1exJ6a8biykdeJBylAa1dEo9oWqQlsrYHas6VYBeOhu4XNQtw+DYuMCBTqKeK6kCw7TP7IDTegg6nQ2oDHwCpkkT22IZqvfGrUqdfqbtVUDlxhSz+ojYkb0nTXeLKbldcEVZJmOF5XC2ocBowm8JdfxY10sAkQEq66O9HTlyRMagpT7JdMWAVGfcVdY9IZwZcUCoglSVaXf96Kgzuo5XBWyurOK9qvGx47ususs+Fd+Kqgx3ahf8kK5yTJZ5MitxGS8fK3CsbHMauBRVs4xKxmolYdWZUJLambnUn/n3xI+mAFXNtNR5tkEn59R+3AypG+9u5uva5EkBjv1eJwtXDEgl7fesQf0XjXI+B1DK8CoDdkFKTcEjdjsrl1PvMGP58niiu0kgmRrodDbBDlDJ2jlgFzRVRq344fZc5M1A4WTlgOESBgcMHFAr21T1XBtTkMSyKItL5JQe1G+XjDh7mmbpHbjuldAuK1vKdtlHuDzKt98z4s7esk0ei8qPt7Z2v12CYx5uEltCBx6k9hOUXGZaOZ+qn3KxIXTBvTLWaV18SLAKChVoqjJ83mWdrCe1I4gdYZplVf1muaq+KHB0snQAOpHRyeEAyo0TtzFNlPC4y+gncmd5llv5SAdsU1nUmEz8Qsmfx5jgdQkTA9AEHDtwcf6Ax8o2OhtXfeiSMyxXjZGLZfxRsVQlVhM68CA1JaekSUY6BSkmlwXjdXfOZYwVn4nDuaDh2lDOXfWry+ZdVlzJNTmvZFR9cMDdBc9uFpDnqr5X+q2CT5abzhqcnEsBV/Fh33FAWfnKRJeTa65sFXhRtkqnlR10SdVk1uYSogqossw0oXPg5/rn2uvqYXsM5rm71AHXhK54kOoCK55TL1JUH6alTr9KkFjK93K1MdUh/ztnRNhXwXTZG5NzMAWorv4quurApwIoV58BVOnIkStTBdwJIEyDB1MFUPuVhKignqT+7NPJ6fxZzZYcmCi+1e+uz8ofVNsVwFTtVO1O5HT18RlP9Y+9HIM7P2G6YkHKGRheV9l2N4PCshGrZVZVec5QpxlpFxwnhjc1nMoZK3mrWRM76FKZlUMoWpLFq7qqb9U5Pq4odcc6UvbHDu/aWAL6qyY27A9KziWBeAm5Ge3knCuj+tDx6BIYZ/f82+myqldddz7n5JySknUJCC9p84oBKRUQJ0CF3+q5kiroIm+V/VbBY5JxV8F+yoPlrPoxcZCJrEtBOdurQKziN9HHdJlkQp09LCHV3wnYra3t/puXJbJn2/k9DewT2+bZiPubdQe8ex2njkfK597wUsm5pO2ltqDIJVX7YcuTsZzIhO8fxTLqIWBud0JXBEipTBOPeWBdYO34qLZccO3ATZ1XzuX6oq5zsGGQrvSCQF0FL/Uy3CpQTjI5p/Nsn9tSf8muiOVXusM1c1XGyafe5DCti28WqRKSKplAfTsQqJaleFkR5XfnVHuOB/fX+QbLypsZlM27FQQFEK5utsXUJXLV7w6cli6juXPuuosnne9ViQTyr3Tp6qCdcQyd6uPAg1QHLniOjXsJSHGdiVxL6vDAOQOoAtf0jx3xXBUoXZBweqpAuQrgzpFUAjBZukiHqmZPFbC68lXdiVxKRsVbHau22Ya7GSfyrII/6hrlRCDJWVwFIFk+g2DXt0qH1VJSF4S7oL6fsykHoJV86pyTqZshTgBpet61UV3DDyYdKkZM2zzwILWE1FPqjiqlquxtyeBXQX2S/ag62T9FLlAxCDBP/IdZ7I+TzWWvXJ/lzzpTZ5xmYS5jW2Uc1fFEViSVRHT2UdnBKstKLlGrZkNsI0sCTPLDYNXpOOtUNoJ934+lLyWzk2Mi/9SPsa4ajyppxX7j0i/aWfXuxlWTtGxb+RG//ot9PhOW/OPWCR1okFJGXwVQFYxdWf6ugKXjo8qvklF0bbnMdomTVWWVvlX27YBhMk7MU82iqpnXhL+SpyurfndLiaynSj7uUwXoirpA7WayGDR4qVf1ezJu6hzahOrXkllUp/eKlsjvbLlaFVCJT9ZRgZt5IJ/JrEklD9W4cXmW2fVrksChvOoZNGy3WuVguiJAakl5dRyhgwS3MQnkVZvq2sRQpsFXBUYHGPmteKvsx+m6WkrhaxgEpwHJ9dPxqQKI+92d78pMAaIK0nm9Smam7S2h5IuPDKh/EN5rMqXuNTl5nP3shVblN53dZxuVr0zr4rlqPBhwctaEY9nJMpXVJYcuGXN6wGXfqwKk9kJdhr7EUZZkum6g1fS5C2pTR3AGNuXjDM8tSVT8VbCtsnxVxrXv9FcdO6rGqauneFTjP+HFNEluUGYXXJSuMuBNZzDOXpUcEc8uCU2DVdrfBCS4fTf7drY7nZm58tM3z7P+OvtQ4MV8VMxys0Mef5egc1xSCaK6zeD44eeqWO7bK/FSBA/ABKiq6y7Ld0G5AyU+1znBtGxFCFAsZ17Hck5WPscG6maLSr/oLC7DdDynAKXqV0G4A8Hp8oazOWzbZb/VjFnJPU1aUPYuKDp+HIRXtceqDZWkVPJVtuvawHpJ+AArAjEHZ2xX+WeXyHJZB8YsY9W3JYmw6o/rI1Nex3tn3Y7CpKsapJI423KBb2tra9fmiyozZsCL2PlXA0z77bj7QSrTZGfl5YhJ8HMO32XhOQZ5vLW1+4WVLungPi2h6QyoSkS4TGU3DszdX3A4YHRANdUHzmIqoEpSAZRpyS5Ul4xwGTcjmALpKsQ6wXHFmWgeq8cdnGwOzF2yGLF7qz/yUXIrXu4RE2y/Sj6VXfEMCpPMCV1RIFUFR2cIqpwrv9TYl8w6JryUzEvJZejcDv52dVTwYh1Ws8KuXWwP+SFPfJDQzbhUW+yAE/twpIC86lvFX8lTjVllUxyEOoBSvCqAcrKroFj9dnxcv7hsN2PcK1AtGT91bdL+XpOpVfrY2bxKENgPVfKKZSdtdnSgQaqbYnLZJUHHBS+XOeaxKsuzqDzmKe90VladqwJEFfiwL9PsTd3QZaNVY8RGr9pS55TM1Z8h5p+wYbuVvSg+SwFnlcCi+LhzCcr4QHBVj8dA2Q/rSH26vk180dV3/uPqKDudJENVDFgSH7IN9dcTyl7Y15foiROzrt6SmVeSm60nP/7zxiUxSl1Xb6io6ECDVPXvow5cJoY4nc52bU7a6zIXbtOBlQJOBUqrGnsltyKe2isZWD9dpq/AirO5aoY0ASw1g9hrlqtI2SPKzPI7IMHfitQ4MG98tmUp2K5iJw54llAHRlU71UxgSb/Zzzr7wuW4yRsesC9TmiSue6VJfJjEyykdaJBammGw81eZmAOqqdInQXxpnYqXcrIu813SpnNgpw81i7pcht1lyBG7A79rCwN3XsdjVdbJUCVQWL4Cp6ouy+rKY0B0/2i7iu050HMAu0rAWgIcSQr48Vo3LpUsinBmW9WrZs6TZHuakDvbdjFnquMqAczzLiFSMkzH9UCDVEUcBFxgwOMlAbcq77JRzp6WAF43g+M+VjMyzAL3MjtQN4LxrzrwmtJfN5vJektmvwqAOoBSQZtldFmySoCY5xJyOsFzuOTXzR7xN/8VjSqr2nNJkOOxF8Bz1/Y6c618W82al/BKe1cz7/3y8VVpaWK4qgwMUJ2dLRnPAw1SzggmMwjHywFRlxmsujzistCltCQLdIChflf6Ql64hFI5Z5VVqj5xnY6WAgX2o5phTWgyQ1vK2wFkd47bjIgd9xZcGSdfldRMVw3cLJ95uyRFtaeShUmbTsaqrGoX7d9dm/CbyFjJzu1Xs5mqzWkyjv6u2lQyVu1WdKBBasmATgK4u8e1NNuoMr+JwVRGsiQIu4wPDWrJUo/ih7qbyliBZBdwu0BTBdhuNoDB0j21r2anDtA5gOKS0F6AKiLkxgnHE99E3T2kW4HRhCr9qHIOcLmcApuqbgdOU/1P/BjLVH9LgnWqxyaY/yT4Oz27eg5UHXUyKNB28kyTm6QDDVIVLQm8agawNJOugIn5dWU7Hs6Qk1QwdiCyKimAwgAxWfKogErR0pmUy7jze5I9K70qXt3YJ0BM++F4TOVlG0CgVOPE9atx2ythuwwsCkSxHv/mJIHByfXPycR1XJvY3rQdBaDKBh1ATZK/rp+OOjm6umomhUlelsMxuypAqpra8+/JoO4FpCreFf9uoFTQmBqt45O0BFRVX5R8q87KqjJVAFgShCaJxJSfK7+fNMmCORBUpICL+e1FzomOOahXIKPqcrsdoKkZutIVy+WACsEeZ9ssF8vWjY+ajS8Bpf2gaTIZUS9t53X8rnTf0Xyz+pB+6Id+aBeyfuVXfuX29WeeeSbuvvvuuPHGG+OLvuiL4q677opHHnlkT20uQeWkafDfK7ksYyLX+vp6rK+vx5EjR7aP+ea3OsZ6GxsbsbGxsaNuhF/fz/rIh/vgAC9fv6+SBZWh5kdtga50iB+UFfWE15RuVN+4Lb6u6ma7+UHd87i5cZzaRkXVrG4JbxyTixcvbn9wbKtxqtpTdSazw+q8kp1tkb/xevYT7XYKfMrWkfYbRC4nORDsgMjpNY+r9qb6uSwzqT/0h/5Q/MIv/MKzjWw828y9994bP/uzPxs//dM/HadOnYp77rknXv/618e/+Tf/ZnE7+5EBuhnBKvyrTEQFI5VZqGBZGYrKtqoMTAUYt8RQ6QHbcs7tskkXmLrg6sCxAk6nsyqjnpKaQbAeGTzyHJblax05fVWZagccbuaA/XB9ZP5cxiUnyJvbmpCzF5UQqXqdPXbtdv7oyjhend/i+f0CwC6+VLLg78ksySW7HV0WkNrY2Ihbbrll1/nHHnssfuInfiLe9a53xR//4388IiLe8Y53xFd91VfFL//yL8c3fuM3Sn7nzp2Lc+fObf8+e/ZsRMyXyrrrCqDyNxv8RLFqANw5d6yy+6r9qi/svBcvXmx5qHtYFYhk5lSBWxW4nCzcF3XdEQfViSMxYEzaqTJvDvAMRipY43f2fQrsDkQqedHGFV+UgZOTbmy6cVayrRqA3WxyCjqrtsfkgHvSjtKn0kmV4FayqbIOMDiGOJvDjTmqjY53R5cFpH7jN34jzpw5E9dcc03ccccd8eCDD8Ztt90WH/nIR+LChQvxqle9arvsV37lV8Ztt90WDz30kAWpBx98MB544IHLIeoO2i8nmjqaApb8nmZMS4E4Yuf/zWB7LstxD7NG1Gv5SsaljjrRg+K/tE0X1CZZdpWpMygp4MzvBPr87RKNJbONCTHvKTCvrfkHnbEcfnObebxfMwPmP83wl/BkWjKjdby62cWSxGlqG87fnYx43iVUSma0EUyAv2B/1XH77bfHO9/5zviKr/iK+MxnPhMPPPBA/Hf/3X8Xv/ZrvxYPP/xwHDt2LG644YYddW6++eZ4+OGHLc/7778/7rvvvu3fZ8+ejVtvvTUi6qBYTcvzulJsR0uzvSrjccDUZcNTEHP80HjwnNqp59rgh0mT1BJGFVidfhxYVQFPnWdAZqpmWwxYqwDEEntRMxQFbJOApfqhdKdmX+xDzGOJHrrxWmLLU9qLfy4hZS8dmHWgoBIYJWtn01VbeK3Sf5UoYVvOL11S193PQ9p3kLrzzju3j1/84hfH7bffHi984Qvj//6//++49tprV+J5/PjxOH78+H6JaMkZw16oM4D87jKpCW8VUFV5/OuANBi1iSDroEFVDtTJOe2TAmwOnMoJ8zyX7/7bRx0z4Yyx0/MUEBhseFZSJSqrJlgsD8uFNsL9dn3DYLTUb/YTmCqe0wSJz3W2ogLxXsam0ofT8SrJUxVvnK9UVOmXZ1J5/AUDKaYbbrgh/uAf/IPxiU98Iv7En/gTcf78+Xj00Ud3zKYeeeQReQ9rVVriMKssm0z5ovNXwcktBTkZqzrKefi6+qi3sk/7zIGryyQdXweqlTyq3xWf6cxDjYEK2BVArRKwXbbKpMapyrg5KFQJjpLLtbVXkHGz2FXl4etVMOwACmVys8FKt45v5x/Kfjn5qmZZlZ9VsyC85vqsAFm14xJn9d3RZQepJ554Ij75yU/Gn/kzfyZe+tKXxtGjR+N973tf3HXXXRER8fGPfzw+/elPxx133LES/ykiKwNwmZErv9Qh2YAVsKBhuBuQSArI0MiWZPlchw1MGXPVV1dmyWxrEqTdGEbo9yPuR5apgL2So+tDtsNBhsdXAZcaM5coVKCJSUklv6s7pSWzilWSxstN+zFDmcxKXMDH41VmIhUfjhlOJk6Mq3ZU/FA8v2Ag9Zf+0l+K173udfHCF74wfvu3fzt+8Ad/MI4cORLf/u3fHqdOnYo3v/nNcd9998Xp06fj5MmT8b3f+71xxx132E0TFa0yYElVQN1rdsj8kiaBYwIGyIeX7rjdKnvBc9WS2FQ2pP3S4X6OxbQ9FWjW1tbkjV4F8JhscKLCSQsDUwJHjinKlHUcoOA3y+3adQnJZGYyzeKZJgHvIFDqD/XrfKeaAWEZPnbnlgLUXt52kvVUAqmSqok8S2jfQeq//Jf/Et/+7d8ev/d7vxfPf/7z44/9sT8Wv/zLvxzPf/7zIyLi7/29vxfr6+tx1113xblz5+I1r3lN/MN/+A9XaktlmHzNZXEuQ1T8K35LnLMiFcSm9Trjx/MOpKb9UP13dS43UC1p1816lmS8k1leJW9H+JcPFYgstRH1qiHHe0pqNq/KVNfVNQdeym6xnBvzVcZqmiSq7ypOcD8r/XUghXzcNWy3sv+9xq7pDIr1NAbarefi/Lqhs2fPxqlTp+LYsWMRobPLysjzusuY8bri6YxrMh3unKLjreTI7BtpKWixLtyyGf+TcM7CtrY+//wVv+Whos65880MWL4y12m7HY8qGGR/J/xxaRD55bmLFy/uagOfYasCv/ruXBnHC/mzXfLLa7k+Hjubxr4rP6v6lOTsv0sy3DU1Q1zij8mD7WOylboCKZX8VPpy/VG+5+4xL52JVdcnf0HE/Vpb+/wM9L/+1/8ajz32WJw8edK2caDf3YdUKUYFZKQq25qcVxmbC6jTrHVplst/ZhfRB2NFODNj/eF15IMOUWWTk/6ogD7VwZT2yq96CWryrwJpXlMBBHmjLtUKgAvq1Xn1190qsE2X7VwfFW8H/qpPLvufzOAccC0BTtWGW9bqgEC11Y2x+la8nbz84bqVD3QzYBVHnc6rxHLqhwcapFx2FTFfLsiybuCmSxbMTwWMSXaE7bBjTzLlSeYzve6WBl0ddQ9lSdsdTbO/yZLlRJ+u7qrkghBnw2o5RgWE6cOQk8y/yvSn5AKVkwOPs88pGyY8PIOr2nByZeaOv6u6lawsx8SnuL2OP9ZT5GwC2+JnHlehzle4b0tmg1P/O9AgNd0Nl6QygHSAyV9ZcDanBlBlMLi92y3LYbtdFqS+O2LAQ7mXBH9+9ZGTeWqg02XJ/QI4duwl+psGJlXOJSu8tMZ/9a7k4PY5iGNAZhnUuLAtpz/w2Kh/Ylb6U8Gx6wvrJ1/Gm31xbXHdajnSzXiQJqsfXbypwFnZzSorLlUSqPyTy01iZuXHVf20H2VXOI7u9WxMBxqklKJcUMOB6TKoqYG4bEhlFspwJtmQ64dyTuccjveUJjMTPHbyV0DkHIHHba9g5XS0pI8VdQDFvCoAmQYiJUPVzwqk8jcvw1XyqCU0l2ApfhjIEOD4rf3un4XZRtyMdSl1vuISj2ocp7JU5ViHqr8VUCkbULFxP2ZiVR+mdMWAVAc87ACqPP+dhWvHGUAVQPJcl80pJ3fBXmWNjqf6XRkxHnfl+ZoLVphJsZO5pSsH5K6so8ppO5roSZWdyLO2tibvJ0b4e0NZVj12oAJ4Fzw7gHL64lkg2jjrTP19gwOyiNjxVye8MUeVr2Z3k3FzxPFAzQicvy6xsyUrBl1y3tm6iydcv4upWHeSSKK9L6EDD1LdoCqnU/+r5P6viQ2Sr2cb+N3RZPCra87AlpBqhx2lm52xTEv7v2T5TP03lJK9klWd5wxcAbIDHgdEbHNOBgQb9aJWft6qIh4zNwNS97xcmSpYqf6lbymQunjx4o5E0cmXfUaQyvKstzyf1xzYcxudLtWsEOtlmzizq4AK6yk5VDJRyeZ+O6ByPFWMc69Hq+xYzXCRr0qAun4iHWiQmhIrA2dUfKOWQYhRX4FU8lLGrIx2AqzMVwXPpInTKd4dTcpWclXydHpwwZ8/qyzTKRCeABTz65KkyewWgYrJzaTUTMGBLbfHx+ocgqZK2vKbs+gse+TIEasvBbhqRyPek0LQrHhOtkK7MVH+1G3ewLFzIMVyYj3Hbz9Aivm4eJX6wPvmkxiFbSofUbPsTiZHBxqkKmNTmQQ6QJ7jNfCOH9dRpG4wK5Cqlv72MqiqngMqlf3gN5dbsiyheE5nPCwj/xsu9osDdNW3Si9YRwHUKuT67GZaqg8OiCuAdmNc9YWBKs+xTlRgVH1SMyoEE7ym9FC1y2VzZqPqs5wsL5dXMxK85kCK++RACstxP5w+WO4l57k9lFuBCCYGSv4qlihd7cV/Ig44SEUsyxDzN366YIznXKZUOVll8F0QVLIjqQBRlVfnqwCgllhWASelUz7fgar6dMRBogpcSid4vgp4k4DiwF/9dsDlwIFpagdVvSmYYSbu5Fd1HQgpfTtZEBSrYMnl8diBSsWnKrOKb6s6FRBV+phQ5UddfOxWBxjkXP2prBEHHKQqg1YGiApkxO/aUQOjdh/xeeSPbTtZFXVBsMrQlOE758RAyuv7zuk7GatlEiWjA4PJPcNqSWipY7BcSwllqq4rWSe8p1T1YQLSLhtGcOAxnoy32qDUrSxwW2zbWN+tiriZvAKajs8E5Ph4CRhO4pIrW/mmaq8a//xW74BkftVfvHQzSUcHHqSmAR8dg9eaO2NDHliG23ZLh9iGM44lBok8pwFYGW3VNvJUf4TIvxkEu364JVMel/xe8rqlqi9L6nO/JrOequ2lIIk8VGaqZptutqoSgElQrUBW3UtSn4jP79ZT8lakwCi/Oxt2u/JUWe43JzsuaCseE9t3MasbHyevkmcJSCkAYT3wsdJDZ09d8uLoigGp/I3fXA7Rnp1aOZZSbBdcWRbFWwGOOnbtYFk2JsdX/e7IBQfXVhUQmY8LUhM9crsTo6+Ce0XV2CiQmjpeFSD2k9yYdICmzlWBSd1nYn6Th2mrfqiA6e6rqJmaeiehs0Fs09nzXsc+5ef+ra3pbdrV+CBVNov10J8dkOUxr1i4GTbW5+tVLKvoigMpF/zyOu/EceCFg5hT3YidO3nwSfjKOVVbaqArg8JvdbxkJoW/WXbV5jS48YzR8a8ACq9zArGUOr0uIbds0c1CV2mnAm8MtAqwVV33NhUOJG7881v95Tf6DsrB8uSOP5wRdjNRlK/SiZJb7VLLtvlvaZzMLk5wTGDdIXWzNtSd8hk8X8WYrm1np3lNXecNShHPAr2yBT6nbAL7O31e6ooAKTUbSuLA2WUhk/aU0XAZd6zaZ8foQA/rOKBTfZsGBHed23XyT0DIyTgZH3a+LqOtlhmmYNKBlOLJgVi1pWTvZobV2KpZBdfh+pPEoqvHO1q57aVbm7kNPqeO3dsqklQSVYEf91GBXkXKn6pYocrg76UgVZFrg8eP4xI/Q4fxAB+8VgCHPPl8RQcepPhbGefa2s7nLhyfJLWE5JylMnJ1vcpoJiCo5FwaCNV5Bp8qQHIZDqxd/b0Q93OajS0FI3c85ePeN7dkxstBbpW6nc0qn+naQR7O37gsL7Evfe+m6mcVzJ1fcgDtrjl/7PSF/lT1pZJVlen6yO0zvw44sYzqJybFyrY5PqytfX4Gzn66JGE58CCFyuLnaCKevcHrMqJpRuLWjrEdvK6COActZQhOPkUMTi4opqGwrB11QMOGr7LoCV+syzNDvo7yO50y4TKEcy78dsdOb8qRFR/Fb6KnarxYNg6Krg2VGKn2WFYHehic2Be4XET/T7HM15VFmVW7Sl9qpsjnXHxQfLtgzbJimS5YVzI5earznT2grnk2xHGEgV39Q7Hqs4rTFV0RIMXn1Ktf3MfxYZ5cjo/V3wBUgVbxruojsTOiAVXtuGtKDj6vruG5zunQOVQgxXI8dhWoKGBWbXM73XXVJp9jB+zKuza7sXFtcFtO/kmywfY8SWSc//Cx8zkVMDnhzHJVcK3AkQlncQ6YKzCoZOjIAbzjq9p1MW9KlQ+zrh3IuD7g/UZ3P2sS35gONEjlmyMinkV+hdKpkOopemUwDgCVgnmLbcqkAvNeg6oz0pRByaEyV3U8MZxJmelMBHnxA6EcyNSswc0gXPBzMxsVpLoZEV6b6g0DAQeDDKAsRyWLA2y0f3zlTSebalu143i4cxOAwjpqBy7L42TE+igzb5xYGixVW86mq1kUnqt00MWjiqZlEWAi+tsFHXC7OLK+vr79T9TTpCzpQIMUd9YBTgVCS0CK6yBNA5Xjy3w6fp2BuKA7CXwT2VUgV+04Z66CD+ugm0nxuYq3I9aF6p+r44Ilk3NwZXud/BVQ8XU3VtxPFzTVTMXpq+ojX3fk/BL70Nm/AimekXXArfTAvye+iv3i4wqk+HtpfOlAspJPkdP9BIwjdt8ymfbnQIMUz5bwrQR5zgUBdZ3LqcDKPNRvR6tkbK6uC2zdLCxJlevqsI7YaLE+Ln9OgGoKNpPZFMo07ZsK4B05wMffaszdC1PThqcgidd5JjVNWDhwT5MV1YYDJec3qi21AsJyIzn9sp1Wz0ixzzsdON1WCZuiLg5MfJ3bczyWJAjKt6ezKJfc4DVc+ZrIk3SgQSqVqgKCe+U8lqtAiinb4HtPeG0qc1XHgWoFrnkONwh0RqaC/H5kW9ymC97Ib1WZV5lBdDKrgDvp54RYNgeGKlB0eqsCK/ZJzYAyiFeBsEsOsj/od/wWcycr6l6Bkno2McvwjEn58UTXqCO1E43ByCVeHcBxu1Ngm1zHcqkbrFcBieLRgSDrWZV3ydISuiJAin/jZ/pmc1a6U7gCRTUAPHiToOfAh/uq5MffleFNictOjFkFw844K4ByY+BmDRwAl8yeur7xeeazRLeuDZeVT517oruqXlWnKpPnVTLo/u6iksnpsvN3BXZYdtqWqqvKqD53Y1nVn/SbAbmKO66uomlyl9e6B5An4Dv1mQMNUhF6aYGzOFV+AlC8bVsBYBewnCGiMbvnNriNLhiq1+tXzun4TfqkeFT8KoecBskqCCvwmjixag8D6sTBHf8JuHR97wB+yXVnw24WVSUYExDkRKKaTbAPcrlqHJQPK2IgU/yW+EQFuKrflf9W+qn6tWpyhPUnSS36MMszSfYidj/8PE2+rgiQSkol8JIDE79Ne4nSHSgqctkltpEgxdlglp3c2OVgOgEOVZZl5Prs4BjQu3463qovSkb3OqBuNtXJoIgBalpXBb4lQMW/OwBS7Xd6SJtyuz3Z/njMJ33Bj3tzdkVdW5XNVXVV0tHZPp/HBMbpl8egA6k8X712auqTzBf5qP53sY7LuvqdX6ix4XtUjg48SEXs/tMxBUJJeJ1vsLIBdk7ggLDLTNhh8Z9MeSbAwaRyDMxYuqDQBeAlwcQFjaVBVl1XDu+SCi6jMtuJjJxAcH+rQFLxZ5m7trFcJ7cCAgT3JPUsC79LTc02umSHZcuAOwH6KtlzIKK+lyaMbgWD6+E13Mbe2fDFixcX27kDKrdFvANlPFbA3CWZlW6qt73wuKz6WqyIAw5SDE6sDAUoeRzhA0gFTnjN3Zhkw+uyNeyH2piheCiqZlSOOJhPr6vMzvFRwFrNgFz5Lqi7MopX12/u25Qq3syr0tckEHI5/nAbKReDUfUcVecXeJz8q1UKlp95sU93AdT5ZtUP5qF4oowsA4JVBxo8FlV55OvkWZpIZrlON1NeXK/ip2JzyrOEDjRIsZHifagKaJJU0HDZnDIaZ0iqPh8jgDmeHS/kUzlzRWq2wXKqYFFlnOqYzymQ4nKryD2pl/3p6i0Fp1XOuTJqFqTKVB/kz4EIAQqvdzbkEj8l2+QFrPmNIFeBOQIhysDAVvWBz3P96mW5U54RO2etExtFHXTJQZbhh7/deKBMzGdC03jk5FX9mfrXgQYpXrLj56R4JqMACbPICqBUZqjARQX1biDRcHjzQ9X3iN0vMu0yxmkwdVT1xQVgFTTVcytTQt2uUt+17YLqxPlZriXEgcz9FTvzzuUkNZPqKJ/+V/y7gM/2j/7Dtq+WS/nvHhCkeMMT8nEvf3W+y3K731XGXyUL2F/FG3300qVLUudYR92jUTaQPHg7vuqbSmI7UJ9SBajVuatyJpWknJQzSWes7ppyyAqkXDuTvjC5wUQ5JgDlzrkse6l8apakMvoKtCbkdOvGXfXLta0CNvPgcxxgKz06sEFgcrMg1ReWYQpObCuub11fumxZ9VslKhlsGWxwx+GkfxNfUdf42yWdeI7bc77uwG8iN15XIIh2x/10fZ3GmC7RxbrsH13MQfmndKBBigmzC6VQJJd58Dke/AlQLXEm5+xVll691b3qk+NXkcvKVCB1H1cX+U4TiGk25tpx17idPL506dKOzJrBAflW+qzKID+e5algqGRAmoxrFWSd71TBT9mgS0TYPtzbs1Hv/KejPFZM3exK+a3aSMVxIrfsV/rivjIAZx03huz/HVAp2Z1sTmcs2zQ2sG92dZeAU9Lq/+ds6Eu/9EtlAL377rsjIuLlL3/5rmt/4S/8hT21yYFU/ZcPB4GlpDZkKEPH8+hsFdBxX3jZkq9jmalBKT6Kb0eoW8yEGQC4XC535HEFZPtNSlYVKB3Iosx5rPp08eJF++HrXR3WU6e/JbqbJA5LiG1H6Zt11n1Yz2qmie1tbW1t11vSl+o+NpfjT/b9yJEjsbGxERsbGxLo1tfX48iRIzvKbWxsbP/HHX7yHF/LHcAqzjAP1b6LJ91YTknFvOpRnyVt7PtM6ld+5Vfi4sWL279/7dd+Lf7En/gT8T/9T//T9rm3vOUt8ba3vW3793XXXbdSW1U26GZTPMgdv1UUu2RWozIalXF1bVd9mcpVZacus6uCBh6rwLiqPqvME/Wl2naAyNlrR+qN7Uq+TvYKrJ1+qrHZb6pmdK5dNdb8zUmAetSCbaWys0oevOb82vm4miXkbErdb5vO3iJ2vnlc+QP2mXXA7TEIZHku1+kLy0/sqkrOK1ri//sOUs9//vN3/H77298eX/7lXx7//X//32+fu+666+KWW24Z8zx37lycO3du+/fZs2cjojbKqbKSzyrZgwqMSg5XppMfv9k40UEvZz+7QF8F3YqqZKEjdkSXkHQAxQ6rHJN3kSXxTWvXHwdYVcKk5FD9WzprYF5VgHNgjrKvrekHUPO3+qNN9pkqaVFJEwMbA16CSJVwqcDK5/l6zgjy73B4Czq2od5yw/3K8tW2bGWf2CfWfdWPSWJT2YOr4+pW5Zba7L4v9yGdP38+/q//6/+KN73pTTsE/8mf/Ml43vOeF1/zNV8T999/fzz11FMlnwcffDBOnTq1/bn11ltlOaWgSmkqiE0GhI3HZYpcdgomilQQUby5DXZi/mRdJV9VxwGR02fVp4nsrr7jxzK5McKPWl5yy3yu3kRn6hr3yenGZcRuXF39Kuud2Az2vdKhWuKrlu/UODm51FhNxoD5OhtiXeHSoFtq5zLdUhzy5nLuNkF3Ha85Ur5T2Uz3YZ6un3xtQpd148S73/3uePTRR+O7vuu7ts99x3d8R7zwhS+MM2fOxMc+9rF461vfGh//+Mfjn/7Tf2r53H///XHfffdt/z579uwOoJo4Hwc/PoeEWRifz3rdsWpX8apkcUEpYvfT3pW8Tlau3wW+Kpi4dp0zVG0rPSpeXR0n6zRoZXvurROsVzdWfJ3lVXrtaAJ03W+VFPC360te56Uvtb3fgWfVN6Uf1We1XR9BC3mqTReqbaUjFVPUc1BYDtvJb3wuDb+VHKhfLJdb1fE8A2C27WZbzt5d7JzYJQIkylC1N6HLClI/8RM/EXfeeWecOXNm+9x3f/d3bx9/7dd+bbzgBS+IV77ylfHJT34yvvzLv1zyOX78eBw/fnzX+by5qAaqypSSKmPlMkrhKrCj8alA64KiCuzKuFRZB8CTQK94umyZ+U7659qcGmgHjB1ITjJqNxZqvFVbVTKBVAXnKsnAMtgP97xXBjfmqwIQEgfQTsaUoVr6UlTpk8ukftVOP+frly5dis3NzV1vr1Bt4Pb3KqlSfo2yKT/MWWPWU/I4H0edchKesy0EKdSR0rGKU5MHgR0pPXX2rWLphC4bSP3n//yf4xd+4RfKGVJExO233x4REZ/4xCcsSDniwcPzSVOFVAHI8aiAkLPBLN85MgdNZ2xowKofqn3XHrfdBXaWozqnzleOWtVTMrvfFVCpMk4f6cwduDuaBGQk1Ek39pP2ka8LJMrmJgFH1Z/YN9Z37Ti75HPVuPDmBpVoIfA7X+9mPbxzrrNnbLdqS/kvAmq2jeU59riXAywFCpSNj5eUWQWoLhtIveMd74ibbropvuVbvqUs99GPfjQiIl7wghcsbqPK0FXG48ovHSxFDpTUuQkvV5az6aVBsGrTBXYnkwMo5xR7lcvxUr/VFu6loBuhl8ZUkFcAgG1V23/3kmU6fniMH55hdaDC2b0jfviWifXuMnHmiTJgP7I9NSbYR5wpqXbyegLakhmCuo+UPN3bJRRQMXF7FRBxvWyDQRxlYxtdQnuJl5xAT+mygNSlS5fiHe94R7zxjW+MjY1nm/jkJz8Z73rXu+Kbv/mb48Ybb4yPfexjce+998Y3fdM3xYtf/OLF7XAGU4EWn3MDvB80nRmorEMFZTbKSbbqwELJOM2Eu6C+NMNX/KrMeCIbA6wCqCVApYLC1HaqwOz6ywFWtZFBFx+CxTIOmNSyFAbo7n4J1lVLg934KDlVO8p+87daMuP+8nIg6sjNLNysRZXlmMNbybEtTCpXeUYz++iWb1XigPaOY6b6p6655JeTgiop4boKnKcx97KA1C/8wi/Epz/96XjTm9604/yxY8fiF37hF+KHf/iH48knn4xbb7017rrrrviBH/iBlduqOuoyXry+l8zAUQdSTp6qrsqSqvLuWgV206yqArUOHCdyRfglpUkgdB++ye5k5XYZqJyzc8BQ8nf2qhIXd8z3UVzQRvlUcHGgodqsrjmqbIJ9EMeXNz5w8EQ9cF+dHvh8tQUc+8Z6VnpAGdFmMFFivTh9Ie9qzCqbY/nyN8tXkdI3gz/roLMHl5w4uiwg9epXv1p2/tZbb40PfOAD+95e5TAuG1wCbnuhyggmzp3f6VDK0B3YdU7gZhEd8FXAtAToHBBlVo/Ord4iouSqAIrlrADKJRQsN+qdl5YmxIE2j1EGDlJ80xyDjgITtdSFQYazdGWXCkA5O2a9ofy8EWDyBgQGJQQuFShxazYuB6ogWoFPFYTV/SDu94SUvlgeVafTO+pa9Z3LruK7LFPnK135jq6Yd/c5oHIOh98cDDqg2w8Zq3Mqk3czAUdd9qra4XNKxq7NrsxERgeiewEprl/J2unOXXeBx/HBYwUQKpNW9bGMq9NdQ7ByslYgxeWr4Otkddk9Ji/sq3iOkzr1O+9VZn085q3TfI7HXbXj7ErpHPlUulJ1KuLdllx/VTDqyIEgJwVL6UCDFGcPeJ6XNtxzRZyVqEx0QksceNWgXwVZzuynQVgBVSXXXoxNyaF45Wu1FLCofuLHzZj2AlAcjFQfXIbbkQOoCP18lpNDAdAE8FRZ1rGTr9If6x/7whsNlNzKFvF1a+nzWJa3wzOAcF/cs0UoJ2+owNkyb95QelHxBdtzjxEovig31uH28q0YSgYFugncrg8VTXxK0ZLE/0CD1JKZT5eRqOzOlXWyJC0J8NWgrpK1T7I6VbaSRz0wifKpuoq3AlAHQHw+/zuJs0wMUFlOteH0qKhKMjiQ8Sygsi113pXp7K57JgazWJYfy6rkqpK1k9ElA9hu5bcoAy77OnncuSqhQHvgRNbFgfSBixcvbgOh2sxQ+X6V4Dlfcjp2oM4+ouoiOEX4ZctO7x1AKTlcQlDRFQNS1aBkWaynrndZqBu0CtCWAATz6zKyJW1UAXoVMFOBXP3usm2Veav6CD4YzLAcZoTIR53rbGbiQAqgXD0FQlUdBTxcDwOSAnn+xmvIewk4shxYj9tyQdfZuLrWAdVEh9wv9xBrHvP9QbSvytfxvCs39SXFE+t1+lflMKHjrehqA4nzXwdUlf0pcLoqQCpfX++InVENhAoc+0kuO1UBWi2BOEfPstXyVsTOf0Fl6mYWHXhxX7praKhqQwRneNh/LJevhWF++XxKEjqsc26mKiHB6xgc3XvcIuq/eJnam0tkXBLCAYL1oYBq0ndF3Kdp2Yidtsk+in3JMtgffhdejgPrAInfLoE+gX+NoeIKPveU7eLribJf+JcaKhizX2IZBRBuR2b2L2VgO0/Kvw/JMuqlvywj6gu/XVK6ZGu9Aq6ODjRIKUdXBoFl81g5PtdfSmrQp1l5llWBBa8rXpw9qaDF8qnfrj+uXw4Y+ZxqVwEUBy3kj47irldg2fWxSg7ynArICoTUOC2xL6zPY9DNGCoeSh71ewlQu7pVe6i7DMSqjAJTB/hVopB9YdtFf0MbdAmE2riBekpe6n5V5SvY5yqBVskHHisdY18Q+CJCJoOqv9X4dnG0kvOqAanqbb+oDPd+LVWeaVJuKRjx4DmAQUInUU/4Vw7g+uQC3ATAqjdOO3DKb7zHpOpUoMt979rrdJDHbntxRL20pwK+uq4c3AUBJzsGv6WgPLX3iiYBxoGFSxrxuhp39R679Gn+qPYm32mPCJhbW89uQuAdgTmD4X7zjK8aTx4/Z2PVIwLqzRucRPGmFZarS/A4mWD5sV71WAHr5RCk/n9SiuFB5vJZFn+rjI7rrJItqGde3JsGVHv8vSRwTcDEyaFeOYT3DnDZDXlgm3wPiUGjAu7uuurPpH+VE7mlO+ZbZZ6sAzW+LrAxMFfUBUf35gUlq+ON/PC88rMuGGefEiywnGpTAZTaAMC+WdkMv0gZefFv1Wfuo7I7tCGWgZcKGaBczGG+DFJYj2954GuhlD6wP6q/+PqxyUQA+zJ9nvDAg5RyiIjeKVLJql7Fi419Ur+SP7856C4BJyerIgUEfG7Kh7Mw9cF+omOoeoq/kpm/p6Cc5RVw8G9lVy6zVXzVcee8LOe0P4qWtKXKdDaMuul8LWJ30oIJZiZqPEtkOTjYurZUfzr76ngpORhwmFybCajOdqcPV6v6VRKFcuPWer7n5JJTx9MlJxwr8dw0RkZcASDF3yogOqWkg1RZPJ7LOhMgUzdxGSDxGrarAjweq6CNx6ovmCmhbvJ6F9TQ4DCDQsDhNhwfBjcl/xLgUTI7J1AOrIJTVW4ppe54R5Vr28nt+oXj58ope0Jb6wJzhP+X4ko2rJs81cwHM37nl2683AyKfcn5BfYX/TvfO8oZ/+bm5o6XyKoZNraBsuMGjSrAM48KuJUeklT8w8RAAQt/q9UmlDuXRF2Cq4AK/8akowMNUhE6gLhB7HhUwVE5rSqT/ByQoIxVEJ9mZur3dOaxpC0nIwJUlZHhbwQ2J/8UpJRzqADKv52NdCDlaGIbLtCoNiZyqwzfBTpVTsmFZTp9OsB1xHpWZR1AcZuKjwMol3Sq8sgTN+iwD+NMBAGHAZMDOvY5y3abPrBvlR7wvCMEYXUPFvuKMy6XUCpg7uRwNufoQINUF1y2tvyrXpCHC6pJVRB05ZXjoIFU5LaJYttLgExlRVWWqX5zXxCY1EyqkqEr69rv9NaRAoIq6FUBedW21fkuwFQAhjap7s8qcHT12W6nfa50qK6rbd5pl/i2BGcDTg9sW10Q5DpI6+vr8r4qy7W29uy2c16mw91zOHNE2fA+FPepo0kS5ZIttAuVyKLsnX/jln7k1wHVVQFSrOAKkJTzqu+KOBBUQUXx44cBVdto7BVodpki11fHqi4f83V+uBFBqnJqJy8HSZYP9dIB6dRp85sDarec1dGSbDa/3VLRUt4uk+dAxHxYx3iOZwFdn6oybraB16eBSwGtC44uYeQ2OTGsds8i37W1te23UDgd4E7Ayu9djHLJlKrHdu34JvhwUsJJD57HB6urcZqCz5QONEglsYKTnNNMZg1Znx3VBcIu81RB2cngAglnOmgs04d1ncMlsbOqLDPL8Q6/ao0Z+aiHAx2I4rlupsHnuoCuHN7VnbbdBWuso+5NVOU5+Lr+dHKyzVYB0vFYQhngKp3ncZWFO9BkO2W/VUBVtc0+xf6hkkpc+kPiJEglaZPxr5IrZ4PuQWBst9MNJjlVrGE5nJ5XoSsCpPZCnTKVc3cONm0Pz6nAzGXUtu9qFuVmImpGo7aC5zHOkNC4cQbF7anjbolvL9QlEFwOAwoHEiyL31XbzJuvoU7VVuMuiFbtOlkVT1d/Un5KCDQqQ8f23JgpnahEBYNoxLMvma3eZNIlhPzhQF0lCG7XoUoCUFYlC1OlL1VO2aLSIQIl6ghngJyM8mvKnH72g64IkFribN21qWNPA4hy2CSXsXHbCphcwOd66pz7sAzK6Fw9bk8dq37xceWg6jh/q+DmxtJlo1XArKjjk8cYDFSmW/UZSQVJ1R63PWlD2asD3kqu/O3sXulMjQnyZT4MLKnPKnAiICAvBAsuj/rjlYbKlnKMK12hPzsbVParwAb5oW7cGLMeuV2OhyoOZJkqlnAbS8HsQIOUc1C8XtVVg6XuB7kgx9fUgDpjQaN3W7eVIXcGgPw54OR55uPezcX8InY/76JkVdccUFXtuuRDBc1J5sq8cLxVnc6+kNSzLS7YOpBSAUU5t5KReXB/qrFlX8B7ERWAVLJxOQzCPFtFXah7vhPeDpj4vmnE7vfmZZ/zWvWAOeuSxxR3/eEmEDcmW1tbu94LqPSLxOXwfPLpXnmkksLkyzInsd66eOFiY1eX6YoBKfV7Up/rKseuMpelhI6CgFFlIcrxUG4FgAwQed2BYpVdsewKgCuHnhgmOphqm513KUhx+1X5CmhU/7hMJ0f15goXjB2ATWRHHkoHrHsObBV4O3JJGdqw0m0lvyoTsRNUVTv8JhSetTAgK3/kfnCfeCww2KccmeBhOwxqOaPLJWF+/VK25frQBX91vYp7+e0SXsUnd0Zyooy66N4UhHTFgRSSyhbUb+Tlgpvj7c4po1Hg4cCH+TogU8sJzskqPvitjN05raqvzi0Bqm58XHCrgKcK8uo+FPOsiGXqQErV57ar85V8CjAjdvZfBZcuCav0r2yJA1sS218lO59nWVQfWJ68hs/7qFkvl5/4t+o771J0PpfXOEnA7fnq1VU8Vi5x5HHi9vm6ei8f6xiXRKsdyFkP3yLCcmC5jg40SDEau067AJXfLuh1WQm3wcc4GNXMyQV/5q/KY3aGcjuniPB/YsiOuqSfqg9T/TnHwXNTkMJj99wQ97HjyQ7JCYjik7+xLgaYJcCn5MJsdAJuKhBX4Of67MBXjT2DU367RKmynwr0HbihzpMXB372UVzuc49UKGLfSn7IB8cf39KA5xKktrae3biAuwdde9jfjY0NaT/cb1xi5efWUDYEmpTNPfybvy9cuBCXLl2Kzc3NHX6UMna7gZEONEhFzILppK4zfgVwjrcL+Pm7+ji+EwDDuh34de1yEEVg5c0aWH/VjRwR9TIZA04FCHzeBS9Vp6rLCYAK+K5O1X4lU1eve76KZWI7rnTC47+0D8yL5VCfrq/4zcFU1UU75mCrkjTsN84q0K6RF9uAap/b5TetswyoN66D7SpZK1vIdpA/1p9u4GGbUGOYx+ptGlmfx7OjAw1SKrNYUqc65wBjQmmYyRuNdbpJgvmxkTFYqN/V80jTDDaifo2RArxpQOsAQX2ql29WYOdkW9K20pcDQlUfM9JKH04uDAQdME54u34wnwlQsVzISy0lVYmUkkeNPQdtJM7Ssw30CfXM09ra52ciOPvBOvm78kfsIwPikSNHtu85KTmTH74NnsHOgQvqyIGfAiieqXE9pfeUXY0hyqqSXubb0YEGqctF1cxmUteB0HR2o0CFSTmGW1LM8tw3BVgsV8Tuv27n9jgAYHuOOKtyoIAOpc4rvgpYKhlUffW8C/a/mjmynNxeZ1dKN/m7CuqTpI0BE4GzCxo8o3BjjPxQd8wr7QV3waGMzEfdO8ysPa9zVs/8sN8oQ8SzyRgupeLOO+TtdMz+kXUx0XMzqZSR22SbzOW5XB7Ec9w+65QfPHYgr37zubxHpVZYUha2GRzP6XLqVQlSVQBdClCunJuxuCCzShlVxwGeAr4KsFQ51d8K4JYYvnMaBV4KAJinCtodcCpS7XW8uPykXVeH+7G0D5yk4DcDA/OvbNDpfipnZ6MTcrahAv/a2tqOIJ677RSA5iwnvxHUOCFjwK70h6CoEo78zfdrlN2pTRV5fqovt3zKdbhuEj6MzGOfvDkBmcqKdEWD1CQbWMpv4khqZlGBzypvksA22NBZTsdvEiSqQOU2YFTERo9ZXbU1uwOpCSBMZFQ2MgHcJXI4uVcBt4qq/rIMzjcwQC5t2yU3zCuXtnJmgLMjtGUGXCcrB3XmlaDDW6WzzNGjR+PIkSPb29VxtpDgxg/5sgydXjg2ROz8Ww2+F+aWTHE22umEAapLSFSyiOVRnzw2GxsbO0AMY9t0w0TSFQNSXWbHv5cEABW0OqetZitcJkltUOiARa2P53cHVBUYKjmVUU8ByoGOAimV4a0KUp3OJ33t+uTOs2NXNtr1aynh+HC27/rggpaqNwWtyj4w6Gc7uFW860uVPKhl5JQFZ1RqRofLaAlQatNDNRNgmTu7ZH2xHlwC2YGlAyk1K+L6rqwqw+1G7HzDO4NuxFU+k5pm1ZwlrhIcOmNTwdwBRRodLy1UQIWfyTNTLM909qQcgetXMxAXjBGg1Fo5y9DxU31JfbrMvCLOFFkeRZU8XZ9cMGPbVG9NcIDsAArbrACK61c6QXldxpy8+BkarpN2gAkZnsNv1o+6f+WWyDgxRL54j6pLIJFfftTYKr9DEMVYsLa2+4Fe15YjldyxPPjdAZrqO+sfdb65uRkRzwIhP6/W0RUHUlVG7ZxvabZagYcyYrUsht/VDMpllBXwJPEyoqIu2GQZPu9mcIoPGmwXlKvMeJWxQj483iqIL3VI1c4qMroEA485kDlQVjK7c66tDsAVeDp+VRaeZTmAIeGsqOp3BvVuKSsDPyYtPFPa2traseSHS3wpk7Ijl1xO7SJlwX7zmKtYwYDO7apdfKhXBnV3v0r5fzejdM8rTv3kQIOUG/jKefF3VVc5mQMM1ZYCDneuAh33XTnEtAwbtZLPZVuKKt3lcZXVTc8tpWlCMrEbFSidHU10xX3kNnEceExZlipAdqCDdfhbyTXlhW27zNz5gLJfl8Q4nSF/PBehQQD1yv1hfvwHjdX4ICCyvK4PE53gbkX1iAPrOss6+52MkdJ/RQoUU/YJHWiQmtIS50qaOja3MwUo/Cx5ELbjzbLw0uEq/eEts0xd8Ffbuafn+JqTsyMGAqy7BPi68kuvOd1VCQYHKDzvlgG7BIJ5T+1F6aMCDMcj5Vby528E6u5tIhUhL3wLggIX3syQ9XNW4gCEn1Fk+ZWOlE7c814MpvyGEO5v3mdjWVxiyPZTyao2dbCuUY8M2B3NFgWBPvjBD8brXve6OHPmTKytrcW73/3uXQL+tb/21+IFL3hBXHvttfGqV70qfuM3fmNHmc9+9rPxhje8IU6ePBk33HBDvPnNb44nnnhiqSg72qyykAi/zlpl6JVhORnUADk5uZzKaJTsFW/VdyefOu7qKr06Qmd2oKQ++AyIq1uNndNBR1OwcoF8CdghLwxs6p6ka9vVdQ9fT3hxfyZ9Yhkm/qf6333UzXcn38Tf0a6cLXL5tM0jR47ExsbG9gfPo/0iOKDOpzq9ePFibG5u7vpcvHhxx1Kk+zg7wZ2LVdxgXaOPct9duTxelRbXfPLJJ+MlL3lJ/OiP/qi8/rf+1t+KH/mRH4kf//Efjw996ENx/fXXx2te85p45plntsu84Q1viF//9V+Pn//5n4/3vOc98cEPfjC++7u/e7HwXXDCjzLEKtBVzqTqLQmILhiw46jfXebN22WVXHiOj528DoAr3WUGpx48VMDEIIXnXDDBNrEPXcKgZFVU6ZvLVdf5XAUwPHasf66LwWpSp7IJZ+NVkMf6CmQrf6nkyN+oGzU2kyTGgVBlh8ruHEgxUOVvt5W+8+fsLwMTHiNAqetZxtlaZzfKHlIP3G++35VlNzY2pJ0siZeLl/vuvPPOuPPOO+W1ra2t+OEf/uH4gR/4gfiTf/JPRkTE//l//p9x8803x7vf/e74tm/7tvgP/+E/xHvf+974lV/5lfiGb/iGiIj4+3//78c3f/M3x9/5O38nzpw5s1Sklnj2MVFODkwSL0MwHzQCPreKvK5eXks5ppstut8dULEM+M3HmBSgAWPQwjc9o/HntardjlbR+aptLSUGzqXPjFTJBSdkFaEdKX05QMcxrGTc2vK7typwYj/DZKQKblheJU1Zv6qn/Bkf6MV+qcCPyQXuCMRZC/J3xOOadoLjlXKwflzyjTLjfawI/4yV0hUmn0kqGebEAPW21LdWn4MJ+tSnPhUPP/xwvOpVr9o+d+rUqbj99tvjoYceioiIhx56KG644YZtgIqIeNWrXhXr6+vxoQ99SPI9d+5cnD17dsdnKVXZcpdxdujflevAowKIpQHXtaVkWgpQqEMGfjx2GbebKU4yYTVTqcDYyV/9Zh5VcOtoYkerftQsq3og3M3KKrt1fa78aKILp5tOZ46nkq2aFVd9mszC1KyMl/fUcvUqy9bYV9YPz4T4s+q9aCeH8vNKxx2PJbSvGycefvjhiIi4+eabd5y/+eabt689/PDDcdNNN+0UYmMjTp8+vV2G6cEHH4wHHnhg1/lVA3h1no/V0oXjwX/0hfycI3bn1DGfW0pLg3uENrDKwXiJhK+7Nf+JEXe6YTn49yqAhucrR+zkXvLbXetsxMnagTSeR16TfipAR59xD51yWbVxAm/4Z1nkp+xM6YJ1hG2kflDmra2dz0qljyPhc1ScKOTvvIbgsQqIoI6y/xcvXtwxY8PVi42NDdlntaQ59T2XLGIbOCtFfeZuyKWrBwdid9/9998f99133/bvs2fPxq233joaZIfeVYBw4KGMuAKc/Qi47lzHk+tW9afBPb+Vc6eho37YCVwdNcNy/an652TPc1VZFdT4vJKvm40puVW5yZh0QIUBPu3PAVV+q+3IaOsVYE0DLMvd6Y9lwmeo8NgRj101O1DlOSHF5TT+zmu4vIe6V7cJeOmOdVQRA3TyRfDEtp1du3NoM6wH5adof3xPCnny2KHuOtpXkLrlllsiIuKRRx6JF7zgBdvnH3nkkfi6r/u67TK/8zu/s6Pe5uZmfPazn92uz3T8+PE4fvz4Ynm6ANIFFAVAybfKZpcYXhXAKtBSAboDvK49JBVI3MxJgVSeV+DDfHBdvQP2pU7t+jhNIhS4VUF2Kgfrf5I08THWRR5Oz2rsMlgo8FEA1QG9KzNNJhBwORHEbcxT/SnbQxBx7WOZaZLEMmM/1VbySl8VKXtg4GDQVHUrHp3/4/2l7n49gj2P5YT2FaRe9KIXxS233BLve9/7tkHp7Nmz8aEPfSi+53u+JyIi7rjjjnj00UfjIx/5SLz0pS+NiIj3v//9cenSpbj99tv3U5yIWB5EKqPhjMvdB+j4r63NX1OP7U34czkFaJ3RsrwotwKTXGbBfxuN2PkXC5xl5TFuoFB9zvIKKJY6d/LlQNSRyiRXoSrR4OdquDyf4/4o/agPjgkGmQqo8FzVd87uXf+Zb9c3XCZLYptSvLa2trZ3l+GNfpaRAR4BBe03/RyX7Lj/SCkfvgkD9cRtV8tgztYZkC5duiQ3QnA7KBf3gWdDnEyir6u6yRuXJbPdHM8lfrQYpJ544on4xCc+sf37U5/6VHz0ox+N06dPx2233Rbf933fF3/jb/yN+G//2/82XvSiF8Vf/at/Nc6cORPf+q3fGhERX/VVXxWvfe1r4y1veUv8+I//eFy4cCHuueee+LZv+7aVdvap2ZJylCobXqUNbGvJrERRlV1zUMVrnQwuu5xSNYNSMyln8G4m5eqqINKNJ8o0zeT3StieA1E3dmpsq4zd9WFJ4pJLLvmtZhcYrFfxGeaxF0DHBJDv+ewl+VI2nHWqoM2/lT0rQgBJoMIkIfvBy4qVXKq/FZC5eOHqOP9WiRqCr9IF9o/tbkKLQerDH/5wvOIVr9j+nfeK3vjGN8Y73/nO+Ct/5a/Ek08+Gd/93d8djz76aPyxP/bH4r3vfW9cc80123V+8id/Mu6555545StfGevr63HXXXfFj/zIjywVZUTTbDnLdgEBy2FGhVtMKyObBCaelamtq8pZO0CbkgMRXJbDsmqdOkL/dbTL7t26P7d1OcAmeaPMbDc4fksDL9tLN3bdYwXMl2XE36x/DBSpexU4MIAuBZsl/obllQy84YK3T6slJDdLWkV+tIcq2OI9Fy6fcuAsI8tgzMB+sJ46v3DlWV8oK9uOsne0G7UiErFzCzsC1vr6+q5nsBQod7S2dbm8/jLS2bNn49SpU/GH/tAfio2NjV1GjQahHKabGalryF89E1GBBDtNxO6/XmY+iqeTl42dr3E/XP/cTEdtIcfy6nmNPM/PQzEffpZCOSn3Z9K3bhxRfu579Z1ULU8iKRtZAlbIuwIql+GjrPhSVfcoAOuDs2SlCyUPl3MBUSUt6M8oNz4ke/To0VhfX9/+7ydc0kMearnP9YHHB/WiElL8ON/n8xm03dsgVJ3K3nH8cFdffqe+UA+ps+PHj+94KNn5Ofsq24Uab9Qp6y6Xb8+fPx//x//xf8Rjjz0WJ0+eNBZ1QHb3OVqa0SYxcOD5rh4alAMSZ6wdz/zNAQ158YxMGfSSflXZN/9WgYQDHerWJQqKF2eiSn50iI440Lk+V0BV8cJ+VoF5aSKiMuslIKXsGrNpNWPlmQH2O3mrMXD+xzp1CUOVQGLfeTaD9zrYb1Tblf8pOVQy5Wyaj7kdlCHLsU/zbj/2e15JmSTerEPWHW8TZxld4oPHyuZ4bPG+HJf5guzuO+jkjCyiX+bhQWQnSpoAF5Mr5zLVqo6jCpRUhuWuLwE3Xj7g3Uid7iZ9VIG26r+iCvgVKGFbKuN2QDQBJZahGncOOq6vKrHIc7xRRvnBUlvjesjPbUbgsU//yv8qwgyfwQvLu+TFBWNOojghY3BRAR9jAW/CwPrIB5MJNRtXsmP51AVv2c82Ll36/CuXuDz7Os+e1JipMUL9qfjB4FvRgQeppcEl6yzJ7rr2nNPzoHEAmgTaDqBUhquMRfHqsqPuowAL+VXXuJyTi4NuFZQVLyzngEoFKA4eqq1qLDE4VoFm6cwJz6tyKBf3N9vnWStvpuBAz+063kqnVR9Y75V9quvZn+yL2nHGoFGBrPMHPIc2pu6HqcBbxQwXI9wYq+Du7L5KflBva2tr28uPih+DMMqTeuD2lP5w4w4CcUcHHqQcKWN01yZA4Ay8qsNtTjOHLL9qhqraZ2JQ4nPuHpLLshw/50AVoPCMivu1VDeTzN85uavLmS8vZyiQUptr3CYJBgQlm5KnkjW3/iLf/Kjg4jLnLvlRpJIo1TcMnF3SkWUzwOL9aSyngmclZ5U4YUDGGYFKWvL4yJEju+6VJ0+si/xYJ6qc0yHKlB9cCk3+m5ubO+yBE5UEfZQX7VYthWb7+NvFg5wFd3SgQcoFv4kxJrnAwPw5E6744DkXwLiuylT4N2fJ3MYUmJIcwPBHzZj4g/WZ9ySYqX6rYD/pmwuo1fhW/FzwYaDithik3Dhzv7ndTlZVnuuqoJrleNwuXbq0a1bi+E3JjR3rzSWPDKYot7qGN/vZPjnzX0Jsz8kPfZz9lGXN82pWG7HzXg32BdusYlASzlqq+FItI3IMTEIdKn0yP+Rz1c6klEL425V32RaXUZkwHncgowKRK6t4K/mruopUhtiB1BKActcrGaqxUB/HywW4Si9doHWBugMXB0yuL9X4rXJO6QkBSgUI5QeOjxvDytfcmCBoVrbh2nPgxraBIDUFpy6uMMizflx95RvKljvbQXBWMjvbZFBX8U/xUFva3f33rDuNA46uGJBalSYGELF7y3jHR13LY1cXr7tzTJMZVJJysuoz2RARsfOdXZjBTqgCqOzfF5omgDABKjebwvKVDCrwTWXd2traEZx5I0Gei9D3IDiT3y9SbUzqIPFMCs9xH13AXEJo6wj8eE31SQGa4sNjzbbBPoG25a5dvHhxR6LC/ck34KB8Lm7hOQZ8lWxw7FC2V9EVA1Iuw6sU4TI7/t0FkFXkdG1OqavH7bCh4PEEoLp66ryTmR3B6YT178bBZd/d+LprS2yG5UvqZlHMa2IHe7VB1LXL9CeyTuRZqnvnv3ndjX9XvpoVOHLj7+RTswhXrgri7h4gl1MxjvvL4JjgxBt1sizvCFSbQtSzgS4xULcSWN6rDqQivHG5IDahylHZEPCcCnqYSXXOgobb3Qfjes7QHbBMtpV3YKTqsqz8HJXqD+paOVRHTrd7CfAqCDGxw06foVtFtr0mNs5GeJdfkgowXUCdyqvshG0KZwoRu5+vqXyKEwe+f6T4KL9Wv6eB19mPAie2eyS8l+PacvfGcJaMqx1op/nQ9MbGxo5ZXbaJOuI2cSMVAxN+OyCt6ECDFD5zgMRGsReQwjp7zXYVgOFvB2yKd1W2A2t0jgqUquU+x99lcpVhTrP1ytFdmUq3eL5zGLSpqg3MPt0MwM0KOpoAJcvsymDA4ECOmTXzyTHmm/3Is5NBnVdyuT6y/nAWwdf3y/ervvBYunK8IQIJdTeNaWzHaqaTxDv6sGw+L8U8Un+40w9jQvJUz2K5GRQeXxUbJ6qAqcpGzNf2k1ygwfpVGVWe6+DviTx8vCQzqWY+7lyVRTne6vy0X1hvotMq852SswuXLHCbHUB1WT6358qp4DWZ6TE/DOodULlxrcCkkl3NtFku7qMry7qtwI/J8a3iA4OoA5NqRtXVWVtb276HVBGOPc+yVL/cg9J4nO2qJCSJHzR2Kx4cL6axmunAgxR+s4JUEE8DYD7KWZPUAEfsfsbFBQqXSas3ELg6XRsTcgA0nUktnUGpctiX6jqfWwrg0zoTQrvB8WZ5czz5H5rZRtSzUdlOFfir/iwFqgQi3GrObbNf8KYYBw7VOZaZr6mMnu0vNwJExI5grv6igm2Tn+1R8rlEED9LwQ9lV/pQus7yfK16lkwlvuo3P4aAv/Mv6PG9m7kEmN/uwdxsK59ZU0uzSVfFTCpi9wxJOb+qw9nQxMldEJzWU8biQG7VANuBhMps+Fz1mfCtZHJ65rHIYybn3K5MpUcGCFeG5UF7QafPazy27vySMZ6UXQpUzFfZ4vRcNQ6dzXVjqtrAQMn30Fg2bq/SA5erdDpNtFz5LkYxv7Q7Trojdr/1IY+73bEsQ+oSd/vleQamPI91MQlT/VWyd3TgQUpRlaVWv5XjOGW7bIXLOCdXwY1lXhpwsA/K8TGzwd9qJ47LOKs2uP8V8LggheWcbl3bXYBwmXtX34FNEr5NYmmg70jVqRx96viqb9w/Ffinwb4aHwdoDhCcb+SMym3UwX6wXS0hFxfw+pLZWdc3lJU3qOQ5bBfrrZoMZXm1yrS2tiaTgZQjVw5w4wTfp1qSMDBdUSDlBoiNSGVZWE49nKbqrmLwKshNjUkFWQ5YyqEQdPg1KNOMJnkxoLn+8Q4kBZp47LJMF+yx3CRwcuBFh14SeFWiUQFqlaw4fXBd7nNVdxXwxjJsR/jb3UtyPPFb2RqPC48F8+ElKqX3SaKpZl6sg6o/LH+EXrqa2ISTPX+zTvgc+3OCd367VQA3jpg0Y7xgfigPb7bI5EH1i3lO6ECDlHP4yqiQXKaPAaxq2/Fl6hxrwkPx499VAFEgxsGo46HqMXHAUUDFbTk9TACd23J8VJ3p+Co+3aeqy6R039lGFWRVnSrLz99LZ2UVyE/02wHMJMFR9RWfqr+dLpUM+Jt9iq93LwKoyAFVfrvku/qu+p081OYffmjZgS9uplAxpvIFRQcapJCmjtzxmAScTgYXzPDcKuScFttXgYaNpFvKU0aM19x1PrcXmurIBaG85saxA1r+duPYJR4qcOwXVWM9SZwm8nRgwcFrwguD2YQ6wJ3anLMBDvruhv7SGMPLwA6Qu7FQ1127KD/PglwfmNinsL6KJVgvy+HmIZ6NY/kJHWiQcgF/kgHitzquwCT58w1Cl8lU/KoMTf3O9iugwnKcVbodWgxg2E8HaHw8yUiVrA5EqvLcV3R+NwZLZFwyfg6cWMb9IJcoqKya+8Jy43eng2onl5rB8TjkcbWzsSO006VJEQdepTf+sA5VfdcW9lttJMA2XKKFY1nZbefznBxwHfUb6+IxJiXIkxMPleDy65+mScoVA1JVQHXgofhNMh9VVznfxBBcvzpyQQXPu/tH/FZl7KPaRKE+eI2PO3BXtFQ3DuAm46xkcvqcvhuR7WU/gWoKrAqolsjggI2XeRCwOPhxYHXjsR/gXdkT64FBAAOnOsa+Yv0qWWNQz3sz6r+a3ExK6cX104G8AyoGGZbZtYHjjQDlgIqBGV+6gPWvCpBahZRylJJXdSI16C4jqQLuKu3zFFyBCBtXNStDvtOAsFTWSg9Oh1OqHK/rDx5X7U4SoCW6VrKo4Dqtq5ZXlMxVkqf4LqUuYVPJ4JRn9ifBYOoHEbtftLu2trbjeav87bZVo8wcW7D9rFuBCbbhkmJVh9ti2dCGcFMYgpWqr5bulA4ZZLEPDki5XxVddSCVpJxkVXDqgphqw7WPdZZkVXhNfasMDutx1lnxU/WqflfZJ5Z3QF4F1el4qax6IlcXNJ18WL8CKMdfjccS4iDC8ipZlTzTtid9ZF/g+qsQ1sNlpArc2d6dDAwojiqfwiRBzRw4YZyQkou/Vd9zVlO9TULZCr8iC2dF2C9nOwyEyH9CVwRIrZJ9qXOrOgrL0rVRtbeKLEtnUKout6+ypQl12Sb/drMnteS6H+ODciq5WD7ORBWP5yLhMys8m6oCc8TutyKo7H8V4HQyKCBf0kYGTPd3E6kDNbPBMhjEeWbBgblKwpLcBgacxSggU4CV57g8lsO3VOB1pQ/2Kb7PiLPTS5cubc8u1awJ9cMvmuW+IchdFSClBqDL0NQAdeWQtzqn5EKeLhBX511WV2U/KoCwYbNszogvF606K6hmQEzVrCbPK6d1vBVITYK960t3joO1Kq/G+MiRI9vBAV9L43ZgYT/wo/Sskh0XSKd6UCChZkZVGScjBsuJfFPZq/osh7vOxKCSryPKejxmTiZOVhM0ONFSINElYQysDI7qPpfaKIG2dVXck8Lgy8atyvJxFcw4kCUpsHJ8kTiLwvP8vTTgsXNymQ6IJtPwzomnMlfBr8qu2RErp+Kgy31U459O4x5YrdqdUhcElY26curNIUeOHNkGqvzmzQDu+Reeiag2+cMzEwXmVT9VwugCobITJQ9/2O7xu9K182/uI/qzAs8u8eFkRNlfvlXD6ahKHJB3tpnybmxs7ODJ/qbiHreNfVDPRuFvvgfGb7dwdOBBCo/VLIXLMSlDqQYJjztAUeWUfM55KnIApcCoynodQOD37xetAgRVYFQ65iDgHLNKapbKsZ/kXgh85MiR2NjYiI2NjThy5EgcPXp0O1BjZs4vwd3c3Nxe0sHr2F+2L7fcNCW2z2lGjTIxP9YHArUab5bFBfhOfuTrYo4DL77OY4vXeNdxkgI1tUOXEzLkjbavQMeBENoUAmAe5xiw7nLMrzqQQmJD7rIZxbMKfGwo098VuK0KVAqsuC9VfXdcObbjXQV7/O34cRKgyAUplVi4YKTaUzzUGE2SkyW0ZIzyN39wFoUgleeOHj26IzhcunQpNjc3t2eOCVQZNKZLSy7x4fKTRG4pQFTnupkFl+M6KNuk7SqGVPqo6lZ96fQZ4f8OBdutkjLlT8gfAYkfSUBZ1dZzde+sogMNUkj7kX0rp0sFc4DCLEPNlrjefm0EYEOYOGOE3mrLfedr0+DBdZ2BK55ra2sy06+2/HZjVzm/C0SY1WNWmddU5ot8VYZ6OQgzbf4rhaNHj8Y111wTGxsbcc0118TRo0fj2LFjcf3112/PKhKMzp07F5ubm/HMM8/E+fPn4/z589uAdeHChR2gtd9UJSMMvmyTahmP6+FvrMt8XBuV3Mo2uD0HvHkOb1FMgB77iy96ZV4IUDiLUfJyLMq/bMG3ZKgEMz/oo7ghgvWQZXFjRRUfFB1okFKKV6QMwV13sx4HMks/TvaJ3K6MAipVl7MmBW4d6HV1eVaC7XL/VZBheTtDdv3kLNGBsCJnVywPt7Fk2WqvhEEql/mOHTu2/bn++uvjmmuuieuuuy5uuOGG7ZnVhQsX4sKFC/Hkk0/GuXPndtzH2tzcjIj5u+amoOzswCUbDFQTPUxmHGwDFdglufHGa5Wfdn2skjAll5uxVH1F2bE8v86KeVT9w7K8IQLbxmR+VX858CClDH4S3LGsC6LVDIrl4LV8nmnh8VJQnVxXzlwFkQqcKifluh1QKT4q03S8lfNNMzAGVG6jCxJOfu4n11FgxjyW2KiqkwELl/RyJnXs2LH4oi/6ou3PTTfdFMePH4+NjY04d+5cnDt3Lh577LF4+umnI+LZTP3cuXMREdv3qKZBRPWlCn5IrBMMxm7MnK1WO/q6T9UXJTPbiOLh/A5nFI6neriWdcB9de/Xw/rZfmX3+Bu347Oc3H8cN5Ql+5MbQCKe3RE4oSsGpJI6I3MzG7yOu53wN5ZRvBSwcZ29kjJUlVFNgI6DAGauTjd8g1qVccSyKaDKmQEuOagZmJNvmv1jexjIktiBGJS4TT6+nJTt5D2oa6+9No4fPx7XXHNNnDhxIq677rp4wQteEDfeeGM873nPiy/7si+L6667LjY2NuKJJ56IJ554Ij7zmc/E2bNn49ixY/Hoo4/GxsZGPP3007G1tbXjNT6YfLkxT5oCr7IxZc9L+OGM0AVi5zNIaowdKbBSAZ1frZVt89I2Ei6hYR3+4DIay61Ai8ERZccyCGiVnKqv2V4uR6Nf5lilnU1o9v+9QB/84Afjda97XZw5cybW1tbi3e9+9/a1CxcuxFvf+tb42q/92rj++uvjzJkz8Wf/7J+N3/7t397B40u/9Et3Kfvtb3/7UlF2BaVJtsX1KsBRoMNG6eqtGqw4iKp+uOxSHTNP93tJUFA8Iup7DVyu0leV7ao+LZFb9WPaf6fP7JMq69raC3HQSbA6evRoHD9+fHuJ78Ybb4znP//5cfPNN8fNN98ct9xyS9x0003x/Oc/P06fPh033HBDnDhxYntp8OjRo9sbL6qt3M5+uI9VOVW2ulbpYtr2flJlC0huNjW1BY43XB9/41hVdaYfvLfV2QDLrOKo+kxo8UzqySefjJe85CXxpje9KV7/+tfvuPbUU0/Fr/7qr8Zf/at/NV7ykpfE5z73ufhf/9f/Nf7H//F/jA9/+MM7yr7tbW+Lt7zlLdu/T5w4sVSUfSPMGnMGhYpkIHQzpepmf9bbKymHVG1MnWgVcNpPh1/qxDiTck5T8VTkQFDpMseXy/9+zKBQVrzxnyB1/PjxOHHiRHzxF39x3HbbbXHmzJk4c+ZM3HbbbXHttdfGkSNHtmdS6+vrceLEie23Cayvr8fZs2djbW1tR8a8ubm5I0OuEqS99ouDrEpEpiDobCfi2b9Cd4nERNacFexl3CsfZXtmm+e+Vrv5XHs5o8E+4G68bHt674rPYfxMu8KZX94D7WgxSN15551x5513ymunTp2Kn//5n99x7h/8g38Qf+SP/JH49Kc/Hbfddtv2+RMnTsQtt9yytPmWqoFysyJ3jUEIv/N4OnPigOeWFbpz7MzKYLFsNT2fAlnXJz5etf5kJobO6s7hE/XowFV2nddxnCpQU7M/DCZ7JRWg8xiz24hnl4Zy6e/EiRPbs6ebb745rr/++u3npnKn34033hhHjhyJp556Ks6fPx+bm5tx3XXXxdbW1o7dfRyIVcbNMiY5G1ezTuajnvXhseQxwjHnwO0eNOVnvhyw8ViooK1WV7CeKpdy4nnFG4GCEyOMCfiQLLfPvNV5fElv1lcP3mIf1JIw6h3P4RhdNpBaSo899lisra3FDTfcsOP829/+9vjrf/2vx2233Rbf8R3fEffee29sbGhx8mZv0tmzZ0dtd1nuBHA4eHL96rpqg2Wr5FbnnKNWdVywUMQzlInupuQCuEsOKqBSv6t+TvqEvPjeAsuLZdkJGTQn7U1JJSnZ1pEjR7aX+06fPr19T+r48eM7gv7GxkacOnUqImJ7ZvX000/HtddeG5ubm3Hs2LHtLenVbIEDXAdUnc04fmzn7r4VzwgciHF7+Hs6ZgrMcAbC5Ssb6oCRH6pVvHL8MUFjX3Z94DLqgW4lH/bXxSfms7b27GMeFy5c2MVb0WUFqWeeeSbe+ta3xrd/+7fHyZMnt8//xb/4F+Prv/7r4/Tp0/FLv/RLcf/998dnPvOZ+Lt/9+9KPg8++GA88MADtp2ljs6ksiVUqjOwaTa918xaAVIFUPh7GiCqthWfVXTOOnGOvgpgrQLI3LbTG48nOyCeq2TdD9ra+vwN53T2XJq+ePFibG5uxrlz5+Lpp5+Oz33uc9sbKk6ePLm9TT3r5/NQ+bwUZ8oIhkveG4dyqrKVbjLosV3zEmAFVMhLgR2Ps7JnHF8E6UliycEa+9TZcAVkCuydPDlmqKPquTDsr5q5VX7J+ud7YpU/fsFnUhcuXIj/+X/+n2Nrayt+7Md+bMe1++67b/v4xS9+cRw7diz+/J//8/Hggw/G8ePHd/G6//77d9Q5e/Zs3HrrrW025cCEr3G9iJ0DxxkBH7PRuLZWoSlAqQCbbbPRuDIuUKvylbxMk/7zuDmQcv1dkrF3MlQApWhJoHZtVrw5WGXgwzX+BKrz58/HM888E4899lhcd911cc0112zPsI4fP75dL1cnnnnmmTh37lxcuHCh3L01CbIdcbaO59zsAPuskjGl+wogO2Bjvq4PakbGMUO17epiOdduZ98qaWLQVMuoqg9ZPmL3iwC4T0q3HCPV+HxBX4uUAPWf//N/jve///07ZlGKbr/99tjc3Izf/M3fjK/4iq/YdT0djKkypgk5oMIMLqLPKlgmLoe8l5AyHM6MsBwfq98KYCuA6gLwVP/TgK3e6eUSCD43AWQs25Er53gnYFyuNzVE7HyGCd8okLOoxx9/PNbW1uI3f/M348knn4zHH388Ll68GF/0RV8UJ06c2C772GOPxaOPPhq/93u/F4899lg88cQT2/emGED2g9COVCKJv7tESdk/B3C0bZfUuWROgQ7L6oBGvfJnr8lTB6jpNzjrVVvX815m5csqvuCWcU6aVL3kiTv4WNdL/GTfQSoB6jd+4zfiX/2rfxU33nhjW+ejH/1orK+vx0033bSorc6JVEBW4JEK7a5XT+J3htjNMBy4sJNyO13Gh31Q5dHAFQ8GMZXRrkITh+/qddmzqueCZSUbjzcHr/0iZVOVvtHZcwnv/Pnz8fTTT8ejjz4aa2vP7qi67rrr4vrrr98u/7u/+7tx9uzZHSCVr0hKoKpmVpXMk3Lq+TRn6wpocGbAbeIMM9tWYIfX+XU9Ktl0Pq74K/uY+lFloxVA5G8GqNS30in3Sz3D5pJELqMAHUGU+V22LehPPPFEfOITn9j+/alPfSo++tGPxunTp+MFL3hB/Ok//afjV3/1V+M973lPXLx4MR5++OGIiDh9+nQcO3YsHnroofjQhz4Ur3jFK+LEiRPx0EMPxb333hvf+Z3fGV/8xV+8VJxdVBmSA6BqZpTl8IG2PKeysUqmqowqrzJAbJtl7ICQZcEyleyOt8t4p+QAR42hKusc2AWRKbCjPtyNcB4T1bdurLsg1AU0TKAQpDY2NrZnVLkKcM0118S11167Xf5zn/tcPPnkk/Hoo4/G448/vr3LD3f2qYDj+ur6g9e572rmorL66sM36VnvTodYXl3Hvq/yuqvKX7CtKrnlfjEfBYysG7zm+GP7CFLOhpM3x1E+zrIq7i6hxSD14Q9/OF7xilds/857RW984xvjh37oh+Kf//N/HhERX/d1X7ej3r/6V/8qXv7yl8fx48fjp37qp+KHfuiH4ty5c/GiF70o7r333h33nPabMOA4oOLyfF1llmqQkRyQVIOkMqMuGE7adddd5oPXu/enTajrN8rVle2ComqzWlfHtpPUDifWg9Lz1AG7vlbBFW0OAerChQvx9NNPb/f1iSeeiM9+9rPx8MMP79g4sbW1Fc8880xcuHAhnnrqqXj66afjmWeeiaeffjouXLgQ58+f37GsOO1TNTtQQZbvj3AZfpgY+++uuwS0Svi6PiFP5wtdkohjqcacz7ndpQrY+TiX9PhvMlBOBDFsAzd58FvxsQ5v3VflkTdeX5rQLgapl7/85aMA4ujrv/7r45d/+ZeXNmvJGRwbaTfLqa6zcbugsiRjwDIuW3bBSWWhFX/HsyMFqspJOupAE8u5jNbJt7TtvVI3Rgx6S7NGJKUL/s0gldt6NzY2duz4w+eqtra2toHomWee2V7mu3DhwqKlvonMjlwZBUbumqvXtcPjpHy8Sx7UOeVrnS4m/sl+wXLykud0DJinm212/anGDGXkODy1rwP97j7crRKx82Ydz5rUu9hyEHimpcqlIXAZBIPqYeEqy6pmWG7AOZNRfCfkMkzmtx/B3vVRyaPa7eSoZsdcppPFydCVY2ec9HlCykZySY6fNzl69GhcvHhx+6WzGxsbO2xma+vZPzvMv+nI7ejsPw5su3FYEiQZ2Dt9q8CsruHvnF1wcM9j9QeJVXLaJa3YhgrOHHs6yllRtuke6Md4pxJKjpc8y2QZ1WzLxSm1BIizz9zYgUvJEzrQIIVKVIbAwMF1sazijcdoHDxbYjBcYnyVDE4OBypVPycZprpWBRyV5Va0FDxXee1MB1BLQKMKQkqfKilxbXazyQnhTAp55n0l/Kde1mcu5+XsKQHL0dIkpesDB2oHMNm2snv+doHb8cs6CVIY6LEPec75ECcllc4U8POsjkn1o3ruKQmX7rB8tslA5mw4r+ELY/nePILa2traDpvkN3+oSUNFBxqkkDiwuhnNEnJZhirXteeCvTJupM7ZFC+sW8nsyrCsE0CrZo3K+LtZjMuy90pTvi4wqXLJl8+5NjuajBsSbuXNYBLx+Ycl1ctBMZnKTRK5NBix+19d90v3k744f+sAigN49dqwCYixHysb5vJVn1S/2XYcQKn+cT8dTX1Z9QWv4YwKwY99yY0L1l+afB5okLp06dL2CzDzt5rNKMVzWfUy2Yhnl1SmYKeCVpKa6TmqnrLHdlzbzhiV41UZlGpjL0HLtanaU9dXTTg6cpnyUoD5/SRnp/muNQYol8gl8XWlD9d+R12grECDgzK/pT1/47Jmt+mC+4Aba5xvqmeP8LebGSkbcrMvrIfXnK/gDEa9Cop1iOcVkHPCk5R/hZIxMu9doh3xzC1/82aT/K02dig68CAVoXf0JCnjwLLdi2WxLNbn89hW58zO4JQTuXOOX5dVqfIToHLgVIGxyhQnM46OT0cdiCp5lGwTvXZguwTkVgF/tsf0iQQt9ZYBrpfXqvFQQXNia65fFQAqEGDQwcRtssynAj/3h2VXQML8Ug+VjVbj7/TJPLvkEPXhrlWxpbJvLo/PVfJDy2jvKA/7Gt9Xr+hAg5R6lkPNoFwWozZYOH7dLEgNUJZ1RqqcxWU4nTFVsiApZ3Sy/36TknsS4JXOfz9kVceXS7YOEJR9OoBinmrZSGX5fFz1pQNvBVLO9t3/W6lZkwItpwcFWiqRczIqHk4nbnaGfPO4CuCVHfDmGK7DdXFDgwJhnhFiGRcP0fZcTM5rVwVIOYNSSsxvnj0xYd0peKkZVZZxoIWycWbIzlr1vwoUXf+WAJ/KKLu2lgBeF9Q60FrSByXfKuChdMnX1ctFJ6BbURWA1Myq0q0K2sxf2cl0ZujshvmpGRKDFP77brWsh4RLgko+VQf7VoG8IrWbD+MN9g9jEcrjfEwRj0nlhwwMyj/VzAfldj6N/eK288NLiVOdHmiQivAAld9u0BzAuHL42/FQ2ecqAOU+Ex24QMO6YZ0pnirIcL0uWFX1K3KBVZ1z+mU5Jtmu46148fg5HU3acrKuSqvO2JImNjKxSQZBB1YY4FTCxtvIlc9wG8xLgS/KwkFZ8cP+cT2VuPGHbSXv3SSAKPk7vbsEyfXJ8c3zCLSVLSrfw3HMc6s+c5d04EHK0fTtEoo6AMvz3f+uVEaMgz9dT99r4JqSmgFeTnLBYi/89spj2k5+s3NH7NQjzmiUXe4XKZ4YQLhclcx14LtEbgUKbmkvdckzKLcRRPmIW/pjX1SZfxfMuyQYr/GqDc+aUAalI77O+mTgZj5cfhpHlK3wdb4vpXTHdriKzR9okGLDi/A3kvmaKjuZYVUzq5Qpv3k2gte5H9ifypD2I2CkvEsAyOliv0kZeZexcl3Wezdr6eTorqnsF7PICL/tVtkIyjUdIwc6bpxVpq3AjO3R+VolE8rlbL1a7pssfXPfXD0FAkov7vck4e3sjusqn2c5HSir2wMVSE3uA6mYyrLh7j2nU/bdVSYMEVcISEV4wFnyvigEtUqZDsyUYagg4YwovzlzcuWXznic8/DvKa8lQaPj7wCmA+AOtFWfuyyxIgWYylHTLnB25R5gdEBVyaD6jUCj3lWoQMi134HCErDCNpC3Aiq1tVzt3kM5Vf/dfSoHOnjN9Rv1pO4loQwq0cUyFy9e3NE3J6MCoIjds1A8p/qiQHsip4sZfG8r66nyqp2rBqSSlKLVq124PNd1ikSjvFyzBzSiCL0EgIaR57t//VxVHvxGYoOcAtUqMuwFTFats198lV7wZrniuV/jWM2eOKNWz9dUgTx/d7OFCanM351T8vN5BLf8dH1ZxX5Vn10y2s24qiTX8VZ+4a53/FxywoCzqv+pj0o2KjrwIOWyAS6jMq4p2rtzS2RMUkaBx8phsZwqj/1TRuuy3sphXYDAunsJqk4HLI/jz/11fLi/7JxL+zDVXwXg02A0rVfJ6exLBX4sj/plHS0FqMquuFwnj/OPCH8fKss6v+W+umv47XxhKeipWYxKBF2yzXJW+mVZXZv57cadj5GP0peLmVcFSOG/UVbZHp/H6+5hXp5F8SYJpXCXIbDR5THXxWM3de+cyIET953lQX5V8NmPmdR0JuIyvkmmWDlGB1STPnV9UMlDHrsZ1draml0SXJIpq7psV/ydcjFVid8qMjj5WT4OeDw+LPeRI0fi6NGjO2ZSyg/Tl7E9lEnNKly/0W7QNqtAz7S19ew/3jpZ+B17+U+5eG1yr0nNZpJ45QblRpvEv+2oAD/by3dL5rsiU9aM2xM60CAVUTuLy6Kq2VCXNbpswGVWaBRdgO+yRbUTaRVy4OR4K9nVsWpnFdmy/aXgsSpoVrwrEO9mFDjOij9v9d3aqh9wZKBS7aOtcOLkPlX/q/5NSCVa+d2BFpZDUJl8FMgxkDg9dAlfpSseI5ZD1Vf8qvYUkKItVHEF6/ADt9yGipNVstQlhipBmtCBBinOtNV5FQhU9pPf3ewriYOpkoHbqjLICqC4DMtSneO21LE752S/HODkiHXb9VEFJFevA2rHv5KTy6aueDeUsskJ6HGfXFDiwFCNvQNRJYvi041JtRFoAlAKhNQDvrjRgn0FZwAYG6rNBtw35evVmDEY4Lirvqo2FXHi40Cwizdoi7hhDGdQLlY6WV1CgDaQOr8q3t2X5DIHDgDda+IVEEwDhyKXiXSAhcdq+QOn/6tkuZO6CqAw099PIKpov9upwBXPTwLFpBwSZq6c/WJgUHwdkCj7cskNA0wFTkvIJXdVwuXOVf3gjREMWuqN7/jiXQfeLBOPhfsvOo4zeZzfCFAcuNXfZDDPTucY/FEOx4v7juCJ9asXdaPM/HiPkxmffWPgntAVBVJd0K0U6coj3ypTmWa/eF5lpXjNOXEFdHshNlhsS/VBkQPfpfpBGZCHykZVeeTpyqrg7trr+qMyTB4nNyPFPnHWzbKpdrqAx9cquflcNW7VmDnbdrxUncmSntsk4caIg7Rr2/W/AtZJ4sI20ekf23T8OqrKON/sAGpKWRZByT0e4OjAgxQrmbMBJGc8WSezLhygyZ8mOlKzDhUweMAmBukCYNVHrKeAtwqm+0kTR0W5FWBO2lBtJs+InRmyWh+vkgGeFXFg4+y04udmUm6GlPaCNlqBlNKLAzHXT8zQVVnlh0uDGdvckSNHtv+4cX19ffsPHHPmhLpYW3v27dw8m+j0wNTNThVhEqxix9L4oTZ+KHJjP6mzqp+jrfJb0FGWjKlZJ6/nGF41Gycidi/vVX/j3gXrLhtSjqrKusGvjEI5qpOhCxpJFVC7GQnyXzKLWkIqWE7rrQJU3SzM1cu6jl+eV+PmwFUlBNVMCnliFsoAiLwVcHblXMCeJE1Ldcq64I+6B8X3nDgjV/7OwK4+3F8lN/LBGKHiizvHMvF1NzYVwFX+yTFC9W+STDjelQwuAeKxndAVAVJIFTh1MymX9ahgMQWTrpxzGq6nzlezEdXXbpbFcikDZlmqdifBbUpVQjBpYwpubozUOZeJMrgj6LDuMECxDao+KJBSgaAKTsrWqiCnQLPS3zTBc/IyULk/M+Slvm72iTqK2LkDMvvLMcDJOAUmN7t09sygOqFMbhjUJuDi4koXP1z/1CYZ/nYJgqMrBqRwYHCgUJHqZh0bZCp5a2trx75+3JnlMhyUg2VKcpnF2trO3S7dQOY1dVNX9U21XU232VGWGBW2vwTUldzszClXjk9VXwVp1Q8OZJPZFtoXE9sIjpMDlWoclWNP+oNlFagq3fC5PI/9rXhF+BemIvCoGRHu0EtgqsbK3Y/CcsmP+6Xq4nOXTpeOKoCrEgQ8jy+LRRtWPsS6drJ0271R3vSpKi5UCW1EbC/v8W0SlxBM6ECDlELyiHoZYgIuWLbKBCq5HC/Hz92X6pyD++MyPb6u6mZZFRSX9FmVq0CqkrUaUzeWilclh+qbyqQZmCrbY3nVOClZXFLBwMcBzPWTgWoiG/dJ9d+Nh+ofy1998H5T1z9lp6rvDqyVjXPfOjkUOLG+nD/wmKi2MMir/jv+KBvyUXaGZd09eOejKE91m2Uir6MDDVJJSqnozCqoYdbA9TNTzyfB81zywGMMGGh0Lngq5+1et18F/VUGvwMqDBjcl8rxlrRdARXKVQVvV3ciQxUQnMyrtpX1VN9dsOJjNRvgPlQgWMm+xH4nfcXjCowwy897Trg5otq5x7ySeBbH+uEZRmfHqwCU0gG+R1SBIn9W0X9F1SwawSnPVXzyutqcps45f5vSgQYp9bwQG44yJPcqJDbmDhwY/FT2xM7kghC3UQ2q4lEtVXHw4N/o5KgDpd+lRtbNZvicGk/sl5tpsP6r2dlSeV0bfL1yQu4fl1NgNAXSiT67csy/awePV3l2Du1JLfcxQLGdsoyuXBUweaah/J6TXC6LbahkGO2G+8NyVb/VzCZ5ssw8Htgv9VyV6w+35/SldMT6Vueuio0TGESTJsrEzKH6vykFOk6xaIx8Xn0cVVmiMgQs023pVAA1yRKxzc55HK9OFnW9+kdPB1BZbyqfArNqZuMAj8fWBUduW42J4unGguVzOurIgbqSifsz6Tu3hWXwreVqi7nbJKH8AL+T8D+9UM5quz/WVX7nAIp5sC05fWJZLqfuE+G1CgS4Lsrp/pBRAWIVU5mUjeC17j4Z04EGKackvK7KTwJrEjoFnlP8VeDEwVCOjccMTlUAU20qJ2JZVH2lp4hnHaACskkAXEoqOVDtqMwVyzpQr3gp2q9+OrtxcqnlVuQzTXrye6m/uDJTm8RjBhDeWp7LfOoVR25mpfRV6UQBafX2GTdz5kSXy7PNdrNSZac49kqGqn/cTzczmvytu0rumW8XV9EGnOwVXdEgFaGD8BJy2em0rDJadV6Vm7TJbUXsNmzmzRmTC9oqY3UyKcCYGqMr1wEst53H3WzHtdnpg+VSfagAxZVbkkCwTjrdVDJyIFN6q4KpKuNsl5Ovaomv22qufEe16X5zfyp9KfvnwO38zOmwkk9dU/6MbUz9o4uFbjat+lqBlIs/nHRN4/KBBqmOUDn8ZLb6W+9KaVWgVoG0MyB0WAdYLsCyMbDszqCRJn1mnWGwcNQ54VLK8VEGjtkgZ3rY9pJAPqVp8oP6qMDYBaoKEPerX92yDVNu1VZ8MBghj1y+Q0DC2ZOaSamHdyv/UPJzuSpBUzrg5XaeSahko/P9CTiq33i+emylAxs+dqRmUQ6gVR2UNcd4a2tr+287roo3TiglVU7LoILHLlvBtiq+ziirc+jQFZgtzcgQNPc6i+yAtpviO7Dt6qljHit+jk3Zwl6ChZPPOaezvWo2qvqL4zgFD7YNN5tkuSri5MvNGLg/6jomOWoGxXXxHN/DwPMucVJgwS/vVf1yOumCupKbrzNgdPai7AG/kTfWrco6AFP1K3Cq/qmc7YT7keM4vSc1KwX0wQ9+MF73utfFmTNnYm1tLd797nfvuP5d3/Vdu4zjta997Y4yn/3sZ+MNb3hDnDx5Mm644YZ485vfHE888cRSUSRNMgQk5UzO2SqHVU6mnI/5TdbaUT6sy8eqT3x9r6CF5AKokk3pzi0jsOwuKFVj5AJA1z8HkorckofKVvnaZJxVOywrA5rKnLust2tvmoi4cVLH1exo4kMTUJjagirj9ObG0X2cDiveSjYFxk7unKVMgETZSPVx+uE2UUbVj0xSJrR4JvXkk0/GS17yknjTm94Ur3/962WZ1772tfGOd7xj+/fx48d3XH/DG94Qn/nMZ+Lnf/7n48KFC/Hn/tyfi+/+7u+Od73rXUvFsTTJfLg8ZjuTgMz8XObAPNbWdi57VPyUzM6wlTFhn1x21dEqAb+7SaoyyWrGocqk0Wd/1C6mVWRfWg9tx4GMkr1qw2Wrk8Dr7ACvTfq0tbXzTxiTh5vBKNBQdXg5D4kBiJ8h5GDHL2Ll9rA/U1J/l6ISD2wP5VLE9fnfeLlslkc9445kB6opf/6ePBjNPJiP+lfy6uW5EbHrpcCop42NZbCzGKTuvPPOuPPOO8syx48fj1tuuUVe+w//4T/Ee9/73viVX/mV+IZv+IaIiPj7f//vxzd/8zfH3/k7fyfOnDmzVKSI8EboshN3zg0k16kyN/yNcizJ+FXZKWGA7gDKZXsu2FZAXvWhAs8pHwYDFSBVH7kPHSVvbG8p6Cl9KxvrQM0Fxao/KtufBFnHD/XhZHazCJVBuxmx4tURlqsSTDUj2GsCU31XAOd0XMUw1o/ya3fMfKqYoGR15acJj+rHkpi2eLlvQr/4i78YN910U3zFV3xFfM/3fE/83u/93va1hx56KG644YZtgIqIeNWrXhXr6+vxoQ99SPI7d+5cnD17dsfHESJ9h/ZLZxSKKsfsyjl+bq1e9XPKN+usQliv0ylm0/l7qSzuGgY8ztpdAES5p89dTQL3hNj5Oz4q0HAdV4bt3o2T4oekZimoD8z8O50mj6NHj8bRo0e3/3YjP/x8FP5pIcrWgQzbRdZBXfCnGguVIKLNKZnVqogL8C5RxLZQx1tbWzv+vBHp4sWL2xsRss9qvN0GIwdQ7hVH0ySPdVC129G+b5x47WtfG69//evjRS96UXzyk5+M7//+748777wzHnrooThy5Eg8/PDDcdNNN+0UYmMjTp8+HQ8//LDk+eCDD8YDDzyw6zxneMqYO0NZqvwqC0WZqiBdAUsHOC4T7nYp8rUlGbS7XvXHBRqswxkiy6t0w9ey3yp443/ZIKgzP9Vfl9mqPlRys75df1Q7bqzddeQ1BSYeB6cDNbbVLr+I2BXQecME7/jjxEP1A2fLTjcpW8qvPmg/zEPZSZ5zYzZJuqoEqfIDtwvO3f9R5dJPqpmU8yNnw649ThQwTq+tre0YmwntO0h927d92/bx137t18aLX/zi+PIv//L4xV/8xXjlK1+5Es/7778/7rvvvu3fZ8+ejVtvvbUN5BVALckOnPHmtSoAdSDlzqtAx33kehmU8XwVrFalLvC6WR+fU4DROUQXSCKedV4X6BRf11YVWBzIVuDbkQN1vo5lqnIqWZjIWt0rcm3z2PDMI38jUPEsRQFVJaciDIYoo5s9KFtTyZxLcDD4V+PjEsGO1FvZ+Y05Lt5UwOBiI8vP5Tv5nU+gPEvosm9B/7Iv+7J43vOeF5/4xCfila98Zdxyyy3xO7/zOzvKbG5uxmc/+1l7H+v48eO7Nl9E1MCjyu2F0DiUsSqA4c0Dk6waZa4GE2dOWN6B5n4BlCLkjdvCK5oaarVFv3KolGHiiG7mM0lepgkOH6sA4/rCsiVNl06wjx3wIu8qIUMQyhvk7ANuazge81b05IOg5tpOOXHM2P/YJngm1fmKS3bwt4o9OL4Tfau2q5lKPnbB59X4VgkKyt/1C/Xnkr38Vq+1ckl4R5cdpP7Lf/kv8Xu/93vxghe8ICIi7rjjjnj00UfjIx/5SLz0pS+NiIj3v//9cenSpbj99tsX83eZy34FZXbubvbAg9ANCDutCpiqTuU8XG4JqT5OZh/OASqa6ob1OQUGBm4OUCyr0uek7xNSQREzcCWPal+VWxIEJzIyfxdcEIi6reLMB+tXn86X3JhOAHKqH6ffDqRc3c6/ujijYpEL/l3C0wEYyuNmhc5PK5BSenC0GKSeeOKJ+MQnPrH9+1Of+lR89KMfjdOnT8fp06fjgQceiLvuuituueWW+OQnPxl/5a/8lfgDf+APxGte85qIiPiqr/qqeO1rXxtvectb4sd//MfjwoULcc8998S3fdu3Ld7ZN8kE9oMqpbpM2Tn2fgWUSlbMIJcEd5RxFXkYOKc8OqBi/WMbagaVlHrgXX+TJGaqqy5RUGVZFuzjJMlyydhebGjJWGFZvK/UARD6g9uSnjOpKvtW45h6VNvik/D+paKJ3l0d9fhDxUv1ZwlV/uyuOb2xDAhI6vqkX5OEY0qLQerDH/5wvOIVr9j+nfeK3vjGN8aP/diPxcc+9rH4x//4H8ejjz4aZ86ciVe/+tXx1//6X9+xXPeTP/mTcc8998QrX/nKWF9fj7vuuit+5Ed+ZKko28ZR/dnW1GC6a0uAij+87NC1uSTgqWCH2RbX6cCjA1oFFEhquU9leC6TrfirjI7l5aWJlAl5uaDiSI19l7G6GRvKxWUqgFo6o6v062RQdsM7KLFtPM/BKYFLbZrgf99Vu1lRH+7VP2trO5ff3aYL5wcR+gWz3L7TL46nso1q1pHEZZSfcRuT2dEkhqgdg7jBgvvLfcFrDnTdbtupjBErgNTLX/7ykvm//Jf/suVx+vTpfXlwN4NNhfqqTtLSTN8NHJ+rgvteM/hpcOKAyIY+AVt3XQVAdjIFIo4Hjwnz75IO5KNAS80sVeKgqNKJSwYqcjZaZbYVHyfzZJwVQLHupwDF5xh8+O3mavu2k0EFcBzbPJfH7l4k62Xy1zacECn7cjpeEo+quOQSoiqBy4+SDa/zPT13L5LlUDYyiYcRzyYGV8W7+3JrpftfmKXkAiNfw0CHVGVdSdVGgAm57Jvl4tlCF1AVYLjZSiX3RG98XNES0FZ6YcfF39N/I1VtqIDpgsPUJqcAtRdyGbpLqtS16vm0XLJzgKTOIX+1q5B/q4Cn6rqZ6dLEotJjtlMlcN1fsmMfHLBwHcUvAabbmp62r2ZS/HYIpX81++IyXaK0RP8HGqSms6cIb5gqAPEsxPHDQZjM0CZtubpV8J/QKoCo2p7qS2WdEzkq3btMbQmxk/F2dVeHfy/tTx534+x4uH4w0HRyT85z/9wHZ0DdBgh3jwJlcBl5FSxdAHS67hLZqd2xbGq2x/UVbzfTq1YPHFCxbVezdlWu81fXD7WTV41lFR8qOtAgFTEP3pMM34FO1q+yS+ZdZaYsUxckVXncDFAZP7fZkTP0SRBXgYyvo3yOp9vm79qsiMcNaXNzc0c5Pp6MryIOWm6WtWriwHbqEgL12wGAejZJjaObRan7S+pNEu5GOvJXQY/7jd88I3FAwzMM1043C6nGXdVR8SR5VaBZJeFcz83S1Hm3goA265Z3uU8OiDgRUas6VwVIYRZTOSZmnCr7cOVdm5UsE5mzjaVlsY7aDOB4VP1xDlnxy2/lwF1fJtSBUgV+KAfPNLDs1tbWjqWNPMe6Uv3sMkSlb5VFOltwQU2R0wEHmTynZHdbvfm32smnlvEccFUgVW03d/66ZMkICR9sVeOIdlCNE56rfIcfvFXtOb5VOWd3HfghqSRB2QHrgW9bcLtqtqx4TuiKAKnq+oQHfqvAptqsQHEib7Ws0AFZlUEhL3YgV8+BvFvCUEChnFrJPNHdfoBUl8DktW5bsmqjC5SV3aj6rGuUuZtlK7kquVn/DpBcOQYYtUmiWt7jYycX92MJUCl7cLNZLINluc1Ong5wlI3x+QpUupkPA5Sqg7JXCVweV7agNqywfpUPXnUglQavBkWhfzWTUudZ+Wow3Xnm786rKTMTG2PE7ulz1x7WrzItZ1h8g3tJu12g5bY5EFSG7XTuAhGeY9upbESBpKqr5MLg7GZNbA8uQXABrQowallLzbRYXpSNl++St5pBuS3m2W7yxrcSsB9O/2sIdaj0hSsO1cuR1dgrW+uARPF3barXNq0SxBmgVD/zulrGw/65dlW/cRy5HPKpbG1CVwxIKaedDLTLqKqA6ILfKoOg6qlsqXIOlo9/T+syQDHYd0Ef21Rg1gEMlmPe1XhO9e7KoQ1Nt8VO2pnIpTLajmcFhlynSipwvPE8L9Ug2LE94DU3c1Igrz5TfXACNZkZqXHl4O7AyyUI01lTlRQqmVkXrlwlg+tr8u9syOker6uxVckC85zEI6QDDVKpKLeFUxk/lsvj/FZvde4CrSOVjXUBJespJ+C66r1deMzO7kBcgbL6Zl06csHH9VvJ7sph21Ow6pw8y7Deq6DiZjHVmDpHdWNV9aUKTBW483g4f0DQyXM8W3LgpJ59Ust6CvBY/073yp5ZD8gnH/jnfrPeXBl+8LuacXWzKcXf2WhlC4q/04MjB1bO9lRiwnUwfjqA6pIQpgMPUvitggEqL6+rB9aybGc8ysDxdwUIFS8mZWTozG5nEsqRdRj0OrDm7yo48hJF0nSKvwT8p4bNQY95IC+lAw40Xeba6Yhl5ux8mlRE7NQrzxKqDH9t7dllGSdP2hU+66SCkkrkePME24Q67vxiMpNQlDrB8UM75bIVKKrNDvyfVLxcyTJiG1V8UUEdrykQXwWcVFnWjZK1GluWFW2HdeHir6MDDVJIExBYiuCKT1e3MpKubXYYN2tQjqauK0DlvlR6q/io4wroVJ8QKLr+LMnAVDkHWtzuKonDflHVRxXg1VvUXV0HDNxmBhi1C48TjwQ1BjBnV64f6jrKp/royiIoOfCp5FNt8zn1x4l4/1rJhL/3ajPsS9NZk/KHyte5rnt0QJXlDwPiVTOTSqoy0KV8mKpsg687wjLungc6/n70Ib/5mQhlmErOCsDU7EsdV5Q8OMPtQKIK3hNSfUbdV6A9CQoTOViHVSBmvkpXHCA5oHD2qwJWEm6Q4MyZZ1JbW1vbM66jR49a/komllcR2yNf47FzM2Bsx8nnqJtFJ/GfLE74uHIqAWHe3ay5SlSSuvuO2L6bRaMMaMupD7UBZukYHGiQQpSeovOSLEZl4yoLnbRRLSvg4E4CoDPUKnixo7q+YkY9zWoVUKiAO+ljNQNyYzxJHBQAd/Jwv1bJYBVVfZjOntV5vofksloeXz7H79VDgOFnX9TfvivimZbSSaWrySx4+v9aVfvcHoOh4sFlKxldmxHaX7Mttg/XXjWuKDf7lQIjJ0PlD8k3wcnFO+xvRwcapCL69Wu+Ns2Cu3LKeVSQxgHkJQLX9kSmziHYsHEd2AX1LnOtALnLUl2AT75osAiUk5kOt6HkV/Kqd5xV/3SKx91b1LtkQP2eAHCWU8nBFJj4wwDiAMq9ay+vdfrAzRiKnM2xPfCYqdmT4sv22YEGz1zU2Liyqj/YjvI5tUEjIlq9KeJxxf6zbEo/uCGN+aH+KqDC38jnqgIp95wUHldgMsmEXZBapZwDHBfc+RzL3bWJGZHKbFadQVRtJiB2BugAc1Jnvwj1kx93byGJZ3Uu0FVtThMVDh7cBrbfAZEqg/y4TBUYsQz/j5SS240bA16nA+5/nsfxQ/06XatkT4GcsgsHcnlc/fWHkoHBSMmodKHaU8mHmv1WYIXPruHMFEEKy7p4onb5MchdFW9BrxwAiTMyPNfxx28+duXzeDJDqeq78uyIVTks7xxWybcKIKCeVwnEyQN57TepzC6/OwDvgqBKiCo5sP0q8cDAwzaMwVndY5iAFNMEOBz/ig/KysF0iR0r++frjlRSMQGpanakAMf1wdVxdqN0iokVj23E7rfU5zfzVMkFA5saM+bBfeLzWY9fQ3ZVzKQq581vBiVlbFVQcQ5dBSMXeJ2hukCiSIETt+Nkz1lO5Ux7pdSz2/LL8uF3VWYVcnpZ0j4nGiqQ8bd7Rxu3i9eVU3dAkLKgrqtg5GzLLeFVMyle/lP8VNtcHwOpkg0DJPa5mk2x/1ezXQVSzIPHSNmA8yuOOczbzdaYBwOOAik12+OxzHbYVpLwLSH8zkEeC2yDdYXfye/o0aM7+nTx4sVd7Ss68CDFx+zwXYCYtlFleI72AgRVts7XVTknq9KNcgr8Rmd3+nDnVWa7pIzScZXV5nl2pmmG6647B+RMWCUGTn53nZ1fJTERO3duViClMmssw+DE4MN1Wb8qo2fZeaeh233YLXmpzREOXKoxS9kQ6B1AsTxYB8dBgVf2iwGzKs/jooBBjaG6B6V2ZCpdJylQc2OBbbtrFc9pLD7QIKXIBSQ+rwAuol92yTIqsCpyoDIt2xkJyqgATWU9mcFU4MFGjdcrw+z62BFnhl3Ax/POwbOM0g0HedcPFbC6oDaRmY8dgLj+4fg4UOONEVyOAYjvM/F17gfqUd0HcbsE+a3q6sY86tod89iqWY2qz/1wf2GB/cPZBbejvhWosEz8uxorlAnlUm8DYTByIIiE44NjynpWtsn2mOdxB2g1Bo6uOJCqSCnRlcHf+D0hbsMBB1+vQIbLoXwKRKu+pdG518CoOhVALTG4jpzzOKrGU+mJd1BVdZ2eI3Znzw5oOtn52CVHXVBQ1/K4etYJz/E9g4jYUZd5OJ2pXYDuRbR4jZcYUyf5D7IJDNlvNwvi3ykrAkw3njwGCFLurzd4bLF9l+wp/aGeq9k0JxGcjPBYcb/4DSQ8FpVenBx8PSJ2gdTS92MeaJCaBkcM/ktAp+KvAKWqz0DE2dZk9qeuq2P1m3mqIKyoyr6q2eGE99I+KHDsQFy1V81uqjbxWAF9V0fJOdGhAyEHpCrYpcwcxBi4WD/uxju3XbU/BSkEN04AGHBSj+7DsyLmOaFq7Fx5FwdU3FGg1Y1r/uZZZ2cHrgyXV7aBiQH3t+KPsqrNMZMYHHHAQWpCSwJ9xG7QUJkQ11VLBPmbz6lnc6o2uC02LDYqJwtSBlh3Y7yaGUwMywUxVWbKcxXqZs1VHayrZg6oI/4L+k5faDdsn0uSqRxH90YJthXFD4MI2wMCiLrGvPmfeFPG9fXPv5Eib55nnY2Nje32NzY2tt8ZmDrFmdPFixd3POuX+s/zfH8oZ18oJwNXtTFE6cvNRBSIVgG982EnE8+QuhkP8nJtYBLB19O+VB3mz+d4uRfjE/ZhQlckSLnAoAIvG2EFUFXg58CuyvIatgoYVZbtgg4bQEUTwHGZK9dTD7QqZ5zI0wHakvNuVup+uwxP9YHHBR2Oz0/kdLPBTi4MICwLBzTFT5XjG9tYFvun2stAx0t9OGva2NiIo0eP7viN9Y4cORLHjh2Lra2t2NzcjM3NzW0QUrOhnDEx+KjlvukMytkA8+MxxfYVQLHOInbPbNVSp9Iz39fjtrGMs4ssn/rnpUUVozqb5r7ht7o2/c+wAw1S00Do6qpjNRuqrnPZ6ppaHtoLsFSBV8kzCZyVrFyHA1eWcSDlAHrJOE77kO1N+SngV21wEoEBvJoFKT4YDPCckq+SMUmBQ2U7DFKqbRe88Hp+M0ipazmjYsDCc1tbW3H+/PlYX1+PCxcuxObm5q6sGwFKvZ8Sx2M6o1b6qcYfz7FuKn6cbLC+InYmgLwZBX+jD+LbUtTY8owYz/PGhkl/nA7dh+teFTMp7HwVLHkQ3VJWR2opjc+5gcXAz06jbmZPHcvNyiZUBWJ8a4TK2LFPlTFP5J4C9apj5dpQzsxtuXFVMk1ncJX9KHLj5MrwvR8Hmi6QqOyXZcSy2B7/cy/PpI4dOxbXXnttXHPNNXH8+PEds6gEsUuXLsVTTz0VTz31VEREnD9/frt9BqcKpJCqVQmlQ+579X9UmNA5f1AA5cAKY0HqmOOD+uAMZW1Nb4xAmXhs1taeXRJVb42ZxJquDPb7qppJVUHOob8LChhEJoOBx2ygLiBV9bE/nNFwX6vjjpSzoDyq78p5K96uv1iGjys5u7KOKoDiYOHaUPLz0o/q97Sfjtw4dYGQg5fqv6qn2qpkmrafwfDo0aNx/PjxuP766+Paa6/dBVIbGxuxubkZly5digsXLsSFCxek/BO9qVkqJ1wTfbg+q/Y6v5nas5OHxxTLZX/VMt8S3mpJ082unNzV9aW+fKBBKkkpj5Xhdqgow3I7t7J+FXyZ95JyuDVWyXXx4sVtA3UANgGojtyOns6hVgHHCfCp4Lm0ny5ALHWYCoA62VRAcWPNcrmslsvzkhAu41Ty8LHbjeX0pYIwL+MdPXo0rrnmmjh16lTceOONcfLkye03HKC858+f337jwcWLF+OZZ57ZXvJTsjpgmCz7qTHrArtqS4EiXu+ANuNNluU2Uzc4ti75YDBz97pcHdXXjKHJo9O9ksnpr6MDDVKsxK6sm/G48jy41UyoAiQV2Kplnq2tZ59lwnMKNNBBFE9nSArkUDbeCFA5IPJTukFi41Y3+BWppdDpMqNyPi47SSKcfpkn67UjV0Yt73SyYkB02TbPJrh9Va/6RsJ+I0jl9zXXXBMnT56MG2+8MU6fPr19Xwp5njt3Li5cuBDPPPNMnDt3brs+B9+trWd3NvLbN1IW3ETRxQsVXFnXfP8xz7Eu1aoK8q9WPi5evLgLqLKd9fX17aU55qmAB4EN20KdTGIH3yrhsUCqVi5WoQMNUhHakJaSCyiVEyqQmsyc2FBVWReI8xz//bIDXxWIJ2Bela1kxXpVIqAyNwRbJzMH20mg4fZUGealwNmN1VSOpQ7KelHZcFff/XbA6q6xTKq88gF1r+ro0aNx3XXXxcmTJ+OLv/iL49ixY7vaefrpp+Pxxx+Pa665ZnujBd5fUbvhInY/JLokNnC/q4RHJXhqA4p73AR/s90hb+UfCFJOfgYSfoOIehhZ6anyS2yPdwx2ialrz9GBB6mIuTFyFjTJnvG3m/VMeTp52RAr4qDoXuQ6ASMOOlWdyTUFKHm+a5/Ps04rYML2XLsMPFMAd8Do2pvq0NnspI/cN5aHy01e9st8JwkNEj9ekTfe8/eFCxdibW0tnnzyyfjc5z4Xx44di83NzW0QQhs6d+5cfO5zn4snnnginnnmme0dftm/BD3Wg/NR3tHG9abXcsz4hr/y362t3ashPAZ8rAK/2/mnfLezX9RHyof6XFvTM1LUodrQoWKJkiEJAXhCBxqk1IC72QxnGIqqmRCDEQ6om8koPsxP9ccZMtblzGViLK4d5TydrqaEvFx/sU/s6NhHV1f1ietznyp+E8Bn3amZbyXbEpomME5/rhySAnFny9wfBqc8l/dQ19aezebPnTsXTz75ZDz22GOxtrYWR48e3X6AN9s8f/58PPnkk9sAhc9KZTl131gBbKV7t+pQAYsq7/zWyZHyK1nzWD2gneXx3pXzYUcoF8rCr8RyYM86dh+UaeL/FR1okIrojY/L8mBj+W5G1AHOFKAquZYGMpS3u7+jMq+pYXfnlcNzvXwLQMUz4tmNG8kXHZPrOqfgQKscZCJzNTYu0Lv+KQBhHa4yE89z6kY6J1ZuSzqXn+orCZ/RyXsqa2trO94GkaCVW8w/97nPxdGjR+PYsWPbdS9duhSbm5vx9NNPx9NPPx3nzp3bvkeFgTFnM8mT+8ozQXVPBsupxIj9wwXjysZY17w9HMeGgcONT/Z5a2trx9Jf1lX/AI76UM9b4b0rFxuRl5KbN+qgPHv5i6Bl/0kcER/84Afjda97XZw5cybW1tbi3e9+947rDln/9t/+29tlvvRLv3TX9be//e2LhV+l01VgcgFJzZbcx82uuAyuC6syXJefCVHnVRnXZ9aHyoKQ0BDVziLnZO4hRC5XZXFcbinAVoGFx3+/qEpyXDDL4KX0xDTdcDKxUZYj4tnXEl28eHHXJ89XtlfVP3/+fDzzzDPx1FNPxRNPPLH9efzxx+Pxxx+PJ554Ip566qltkMK3T+B3blXPfnQ6wz7y7kdn75Wd4ljk/bZjx47FsWPH4vjx49uffCbs+PHj9lrWO3bs2PZOyNwwwokFgwGPL/YP7S3ta2NjQ/JGe1DLjc4H2a+qmMxxYEKLZ1JPPvlkvOQlL4k3velN8frXv37X9c985jM7fv/cz/1cvPnNb4677rprx/m3ve1t8Za3vGX794kTJ5aKUs6Y+HpVFrNuVRd5dJ+qLh+7rLXrI9fp+GEWzGDAQKPIBXHWVwX6/LsCRM7UsDzXQcdEXVTBuwIqJqV/B/Rdu1iW5XYAqnhyxjzt+9LEhW3JbUtHPltbz74TL2e/CGAJMOfPn4+1tbXt56Kw7QSy8+fPb9+PQoBE8GOQUv6YfJU9VvrqymVfMYDjspmqh+DI+lb2nX1loFGJnUo4WRcKlF18mJAqz3HF1blsIHXnnXfGnXfeaa/fcsstO37/zM/8TLziFa+IL/uyL9tx/sSJE7vKOsopf9LZs2cjwgeQpUF/UrfLSNn53eA5PplhVAOMYOqeCMfApW4YLyHl0G7ZhMspQFKA5vqpHK7KkJXeV+mz470fvHD8UH8ueHZyVAmVI142VVudu0Cf5VF2/J22ifeLMrDmsl0CFQfstF+cKeV9KZxJ8YtlI3aClHq7DOqN7al7BZijBI183itfoOtWCJbOIvK/31KnubsPeSbl2OJLfBPgcmzwjSBORyk72gAnhawvlqcDvSX+tHi5bwk98sgj8bM/+7Px5je/ede1t7/97XHjjTfGH/7Dfzj+9t/+2zuyKaYHH3wwTp06tf259dZbd5VRBpHfCkhYmS7LdMCyJDAwLz5mmV27rp5qw5Wb9Hsyo9oL6CnwUjOl7jPh1YHb5SQez/yuxqDiNfkwdf129lXJNGlLJWIJLhcuXIjz589vJ5/4yfM5i8KNE25Jey8+2ZHin/aEsyJcRsvlOlyy42VcrDf58PIcy+DsXCWIDDyctCg589stFbLOmLjckrG6rBsn/vE//sdx4sSJXcuCf/Ev/sX4+q//+jh9+nT80i/9Utx///3xmc98Jv7u3/27ks/9998f99133/bvs2fPxq233tpm1S5IqwyRr+U5fi8YllM0DQqXkzjzUQbCs0ZVTtGkf7x80PHm4MZ1MDPleqocy4PfS/szKb8KAGLwzlnHBExdwlLV5fHA31tbO5fnmK/qX+qcg6WTMyJ2ZfSZ1fNzP3hPK8Ep+VUgVemJ+8C2WVG2i7pDufFeVL7Fne8HpbysLwcqSLiMiGXceLtkL2XJceD7yvnN51M/fA7fUI9jgbMw5I1+jbF1QpcVpP7RP/pH8YY3vCGuueaaHecRcF784hfHsWPH4s//+T8fDz74YBw/fnwXn7zJuAp1s44kl5kpgFI0DfAMHpMgM+G75BpnUmyInc6WyMmgU2V6WUbt5MNlKRwLVw77xfJg2/g96YcqPwl2VRsqaZjwrmxS2ZqTowraajmQ5VayYtv4ii0GRwYpBG+uG1H/U6zqD8vuEp9cVmPZFfEsCt+okct++BcaOYN0IOXGJuvns2QqKamSJtQ5JgHsj6hftxyZMvP4pJysqyqh7MaP6bKB1P/z//w/8fGPfzz+yT/5J23Z22+/PTY3N+M3f/M34yu+4ivGbbAjTqgKXEsASjlk1yYbowrcKuND4uscWBwvJQvznxrOpJySU8nkdOKuT8spmfP6tI+T/nDZyiYmQKXKs8ydXXDdqqzrh9J7Zy8KoBBoOEBxUsTXna9yeY4BThd5jECh+q4I6ymgUUtjqh+YTDFAqViWwID3+FCfVR+UDXRAp/iyfE6vrhyWmcZppMsGUj/xEz8RL33pS+MlL3lJW/ajH/1orK+vx0033bSojSoIT4nBqHMSbJc3EUzaT6NDPtXAKv5ra2u7locmx4qnMlhn7BOdKDDBMsrQuW2eSbEzYTBLYqdXwYtlddQlMi44TngrsFP9w76zHCrwVdvWq2DiArhrm2VQcmB5tcyFM4yIZ99GUdktjzVujU45kh+OjXrcgWcLW1tb25s0cDOGkyWBiGMHP5+kNi6xLI5wKSzrdEt+LrlmUjsROQ4oebCPuOOQ/5qFYwjLlWVwA0hFi0HqiSeeiE984hPbvz/1qU/FRz/60Th9+nTcdtttEfH5e0Y//dM/Hf/7//6/76r/0EMPxYc+9KF4xSteESdOnIiHHnoo7r333vjO7/zO+OIv/uJFsnSIrYzcoTk74JL2KuJgpniojMdRlY10fLp+53cVdLuAX8mgrnXlVNCsZh34u+pHdX1VHXcAjECMDt0BlZKb5WOQQlJjtgpIIa+UIcthYoHB3/HDPjCQIdg5neYxbzvndnkTAAZnlhO3t2N7LIcaT/VxwNQlAfzbATj3oQMpxa+yWTXeCFSdj7gyLHtHi0Hqwx/+cLziFa/Y/p33l974xjfGO9/5zoiI+Kmf+qnY2tqKb//2b99V//jx4/FTP/VT8UM/9ENx7ty5eNGLXhT33nvvjvtUeyEMAl3WW1FVDo0F25jU57rdebzm5ERHUU5V9QUDBW8bVsRbfpX8FQipQMzEwU456RSosJ8dAHDQcrJV41EBLPZLBXCnGxXMFEjx8zNsE51cWMZtQMljfNSBx0vpCwM69wNnLjjD4fFnfrxVGuXMMni/qJtJ4YPKyjf5XJ7HjREMuFgW+6NWYVAnDLg8Nm6Lu5rhOt0gKV0zoW74GT1Xl+VBXUz/9HBtaxq1n0N09uzZOHXqVPzhP/yHLRqrGUJ+q496A4Qil/0oR3GZjcp0HEi5MgoMOFPsAiryV1m4yngyy+SA4hwS+692E6l+ch8rYFPjNHHQpclAVVcFL5ZXLUdi+Wr5p5Mr+TMPZZsdSLmEYGtra9ezSZnYoPzcFz6ndMi75/D+juLN/UTfZX0cP358+x+BVf+Rsm+49Ff5bPLDe1G5yw+3aeN4cNsuHqm21KzQgZXijXwyTqhlYsWPH6De3NzcJR/yw3aRV26UWV9fj2eeeSbuvvvueOyxx+LkyZPh6Ip8d1+Sm904AFIzr6q9boZSGVwlOxowB5D87oLLREYlc3de6RQDDgfnSpeqDZWBViDF9bvkogLvTk50ZJfpZjnm59rFYIN1KntRNljph2VUv6u2MZGrXrmFoMP6Zh04edQsAgGKn89xbSHQ5TNLqEfWV44pzohw23zK41Ya8jwmcc4X8NsBFOufdcO6U0lF9qMilQQjX1Wexxzbyu8qEWf9dHTgQWpC6GT4m49zgDETqBRZBZT9IAZM51x8XMnj+sNvveA2sFzEsy+Bxa22ed0tGzJfrNMBctUfBsqqrHJoVa6qW+m5SyBYpwxSq9rSJMFCwvFOeVwyUgXJCvRZPpZVkQKlzLxxi3faGL4aiQEC6zBI8bECDfUmDPwowMb7WRGxY2bBfXeBnOMRA6+b+bANoX9yG1xH+TiOawWiXI77NLVJRwcapKqOK0NSGaAawCVtZJkqg3dZfuWo6ncVAJVsXTBQfVCZLGarSn9Yl3c9OV0o3VT9xH4p/VT670jJNM30KkBT5yoAY7Ct7BKvY1Dqlr+Z8LkZDKZYz8mDgU4BMB5zP51tMkAxSOU/+aasuDSndM7B3MmH/eMEIn2AYwrrJ3+nLDwTU20i4b1KVYeXQavkh/0J5asSLpSX5WE7cDrtYqoqU9GBBqkInwF2WQ+XTV7M1zkTnndTas6EVsmSnTGivMrRXJ/4HPdH9cWBlAK1iS4yS1WAp/rOMjqgWkIYeJAU7y4TVADLMmHAxGtcvrsnmu3lNx4rkFF1XTBW48w6Yrn53gjfg8F62FeX3WMgxjc65DfOpi5durT9glpenlPB2N0XVLpFWbB89SYM7Bf+xgd52YYViKPeUXZ8UFjZmfIJ9iG+hqQelMY4iP10uy8nb5HAe5oTOvAgpUAnjxGccABUUM9jzirwPJdXg1oFGOTtnKULtiqQu+yLZZ8SG6nLPFkmDmzoPMxPXVeOw5mcAqol/XNZZ6ULlsPVcQGhIg4Gldyqbto2J1VV4uL4uiVH7rfzkYjd28mzPt/Pczav/Dnr4zvwkD8vWSJIMMAgkKp+JhhkPxmksl3UOQI595nHissovTuwUfpCubrynZ0noKKsarel6kPEzn9jRpDmJAHbnNCBBykOYEl4jj9MKmvA86qsagOvdwGhCrDKqKrA4eRj51pCVdtczvW5alf1R5XpxoT10PFVwDglJY9qgwN5Beyd/CxzlnE2nb/VjEbJrABFycf9rsYlr/G25iqrV/3D627bNZZRY4M64L45XeMyF25zj9i9zZ7HWvUH+6TadgmAGqMuyCv9uCSjsidlX2trux8oVsR9RJBifUzoQIOUMmr8xlmUm6qionD6qZyODWvyHjElc2VEipQjuKyMeaqgw2CpwCW/MRNygUwFSS6LQSSXatRWZXbSPFbLThhMWA5HnIHzu+EUcf9UeSX3BACrsWX+qi7ej1HtTkA1dYk32Z395DGOI44hn1Pg4mxW+XC2gzv7+HryQvlxEwXqim0sCW2RwZVlwn4q3ahzGIvU+LAOHalxQJmxLyqR4PHN8/j8k1oJQcBmveA4JeESbI4NzhivGpBy2UmViSS5bMwFGmXckyDkZJ7Ude25wa365/rfBaIqgPOSipMRnWVtbedWVXWfQIGcMmrVPo8964CTErYfbFcFHAdQEXo5BOVS/LKsS4TYJtUNfGcj1dixPXDAV/2f3i9T/qb6XRH6dhfkuQ5vbMjnevhNE0o2B6DIn2mq8yzLgK0AvKqv+LNdK59iGd24ZiLAOwlZPpUsKFJjEhG7dkI6OtAgpbaUM2Fmx0FEgYUK3irzSd7TrIAHSvGtZMBrCrzcszlct8rSUFZ2cpcJ8yfr5HXWCwaxajdZ1nXZV5WNqz46h2Ub4vsDamxVIHFLUcyHfyuwUPXxt7pR7+RSMrtyPM7qXgmDB9ZVmTZeZ3kqX+Axyqwc75GkjGrFhPWc59QsCcu5+yYqMZiALuoO9cPtVEk0A4W674dtqZ2O3BccS7SnbJv/A0vpSiUFSOjjCEhXFUg5h+GAmcrizJudQTmKyujzN9+wdk4X4Q2HyTmru9bdzJwEpwmhHJwxqr+z5nKpL5QDwR5nCSqpUKDhsjsc89QRZ3ERembAgRrrKP1hwFH3K/Cbl4dwy7i6ma+OFUhl/UnQrJIK7hPLhDfFObBhOdWG0wkmXapsBri1tbUdL5BVgJhvQeCNDDx+6r4K7jhTdqceZZkkB6zX1K16JRD2BxMYpUeWv0viOJbwOKAv8/IqJ4p5jP6KPJDW19e3lxIZlK6K3X0uo3FZTpV9KzCaBH0OxI7Y2JwsLIOT3cnXEQMMtzMJdI7v9DpmYOxEfB6vYV3VJxcQ3X2nKti48eS2unF0euG2lWzqd2Xz3DbLoIKe6/Mk0VGAwzJUYMhtKlJ2oQK80wu24RJSLqNs1X2UXlBulew6m+kAKeVRdZUuIna/iszZI8un7iVOQI5tjdt1eq7owIOUO+cMSTnZqoSZZWUA2H6+nn6a9XZGhcTOyA5SAVT1fFPnWMzLycZBOWXJoKOWUqqZjco2MetzyxCoG9VPbs/NVpUTV/pJPrz0MUlysN8qkFUBD/vpluQc8HOfue9Zdmtr9+yGX2GEY+ISA5YVbSOX+9imVcBjWVAe7J+ySfQFtUTPtsUBvktcOiDCdlBvXV0XL9AvlFzcP372jctWvqXGFcdCzcA7OtAgFbEbwfO4ypInNAEzBoMJT3auJXJMziuAqtpxmfwSx0NeDqDyWwVD3lXJwMntqw0TKHeVqChSY8KBkNtz+kDgVJk2X3N6V9eWlFMgVQGxIjcDYD1F7HzNkkocJsDC8rtNNSyj03OEBmWVmLlZAgdjt3Ts2lfXlX24a9P4VdkU11djzwkfk9I78+b2kafq33SScOBBigdbAVSenwBVNxtQ5yqjqLLfSXsTkKpmC44cuGNdF9SWAL4DKA4U3FdOMJRxY/bOfeYA42YKFdgoR1S6Qf4TYOv0tGRsVXCpwCiDfyVPd54TIJSZQSGXjbKcetjTtTWRNUn5CvJQY6USEbZRnjGp+5guLiif53GaBuqq3+586hvbjtD/RsAJScXfgSuDvuv7NHlMOtAgxQ/adR2vstdOYS7TUuQMUYHpqoRBwrU9IQw4VTBDA5/IhscT3apkA79Vv7qNFRgclWz83BzuBFWbbPA/idjRXEBCcs/V8M4qrluNJ5dXZZcEw4qPy7bdGHfBSL2VAN/Tl7pWL5hFedNW1Vinfvm66kNHCMhquZN5VUmWC+DMM9vCzUlVQoPAmscuWeFbDwxU+PJe7DPOJtfWnn0+Dd+jiK+Cwk0pW1s7n8ma0IEGqYjdyycRPqvl4yzjAr6iCqA4k+V6aKRTQrkUTy47BSmVQXV9qQKYk2na3yrIOfknWV6WnciIY6SWGhUPBfBKpwyi6oPtId/O1lhOtAPk5epzcFLHqgyDNcrpAjj7AOo9A6CaHasb+UpeNz5dYsnJi0oSuB/THZUoB/+u/Ez1vePrfNPFkE5GBvnO7pgff5bej4o44CDlbgbygCCaI7GjIqnB7wzdgRQHvim5ANPVWZWcAVYOlFRlkip4KWfA86ruxCGnY8R8+Yauklm1s4TUxhAV4KeBh8cns1p1nusgX3WdZ8xsE/y8Em9HXoWSL+7eU7MRB55HjhyxW+OX2ErOAriPyIuBmvlMxzBC3zfjZ8HUqgETj2eXUHMiwXaIs6K8pu45Kp5ILomZxqoDDVIReibFDpXKVTMPJBUs87gzdJcVcRnXB76u6lTnXH/UNXfeZUQTkGLeVXbtyvM4uvHi7JKdDetjpo6ED4Em4RIF9rvaiovlOidVMqqy1TiyHlA+/HY7D7uxRD6qj6m7XH5TgdmBhEp+uH3UES695geffVOEz9xVfUv+Kjnl42rGpMbc+TvbD9uNAisFyqptBjEFpmgbfKsEl/WYDyZx/NYOBji8xjph28/lxo4ONEhNgn5+qh1hk6wbB1QdO5CqZkLKSZ2Bu5ndNBtRIMCydNlNd00BlAN9lk0Fb9ceB2UFwOqbg3PWZbld4Gc+yMPpz4E2H3d9dqRkxYBUyej6oYKMCnb4rjw35spGO0BH/SBAVW82wPZcGdSPszlsW9mJeii/8htlm04X+MnZpOPt6kXE9rio8VZLhwxGqk0EfTWzQ13yH6FmfY4/U1s/0CClAq9yQLzGgKIy+S5Yq+DiHHMpmHyhiA1aZWKO1OxlL8s+SLipIeXY2NjY5cjTmQr2Q2WD2J76sD5c9ot6YSfuXueldrSpY5YLvzPjVf1346yWz9mWlS6ScNwVmKs+qsCoZje49IT9UDMLbJv9O/tQvQGmsvnqfPVb9cn1l+1LlVFU+awCS5UAVPEz6+KyNScGLC/KtGpMOPAgpTKiykCUk+b5CqBctoh83SwIebPzukyO+zJxjIqmfNQxAy4nBxMHcjJMZnYYgDkYI01mY1XyopycwUd9OGAr0HQzKZ55uABZ/e5kcWVdUFPjVMmkZh1LArkrj1TN2Bw/DpSuLedvCkQqPSnfcfatfIc3KCgg5naYh0qQXdn87exT9QUBzsUNR8x7GjcONEhN3/SAxMENlavWntUgqmUHZbx8Xc38OloyC6vKOcN2wY3rsdO57+otD0qOypndbIbfZJDtVptjVNvdTXG1jMYzCaUnduoKsDgYMG/OULlvTk6+rvgooFL9QV6ubG5aQL6sV+bN/pb10DZ5WSl9Ht/aUQGHWyZU/pDncBa6tbXzn3WVjhU/R2wPbhbpdvOhnphfUq40VNvylY2mPLzFPH/juxPz7R84RjzG3C5vHNrc3Bzp7ECDVISeKqvBYXLBd0JVljgxVjeYFSB1fKvsiq8vAT43a3Jg7uTpsmU26goUVF/drEQdu7HGAIw3iKsAzUGfs1+1/KXa5/4qAOExZMBmgEVdsS6cDFNSATbbxSzb2dramr5PrHTN/UfgiNAA7mZHeQ3txJXBNjkRUHVc+9w3d53rVjOqzt9Vm+q8eu2TsxHXpmrbnUu7ibhKXjAb4Q28m+YqqoBNBd0OCFw91zYGpq59d74KPkuDUNbpAInP8ZiwLMpRXTl2MqVjBqkq6Ll+cgargBHldtc4UKsxVQG8CsocHLOf3Qxqon/VFusGf2d/nK5Vm46q8pU++AFV5zMqYeF+KftS46JmDZWuXF+UfC6gL9XnEmDs/GISy1y7LjZwIjmdGBxokFIZDZ/rFKgMtGqHp7AdTY0NncMF76kxOWPktiqZlfz5m43N9Uf1ewLAGDzVTiTO1CP0sg7vkOJxdM6S26udA2MdXgrMc9lOLovg0rQCdNwxxQFELQFubW1t/+cPb+WdBJ+8jgG/ukmvAKpKTFA/KDO2nedxPHlTBs4Wc0kxZ1JqK3USvykhx4ABFtvJ8/mXH9lu2gLrN+t0LzJ2/ep2LbK+0NZdWRyrbJf7x7LxbF/pi+tgW+xHHDNUP6cAFXEFgBQPIF/nGQGfw7Jcx7XZZRZKRjfQPINSWeE0k0Ke+yG7khH5KF1VCYOSx51HgFJ82CmVHAqcuK5rWwV5FahcG2pMq3FxunLyrK3tfsu44+fGyCVQncwMUlNbYtvIQKiW67Atd6671gGrk1EFYpZd2aLTBYMhJgSOv5KF4wPHlC65yHKoHzfrUcuAXH9KbMNLY9CBBykmNhTMdpTxYTn1jq/pYChZ1Cyg49eBJBOWVZnKEl4TGTBDU2XUlmwnr6sbETv+GbQKGhwo3Zbxqn0s4zaQoIy4xVvdNFazDOf8eb26UY5yZ1meYai+TROvrg4HOhX0eTyU7NgG24gKuPmmA56hoh6QD84w8jhnXHmO2+HAGRG73njh3n/XxQnup5pNuTruHizri+2MZVPv3kMd8bZ+tRXdyenOOfvOh7/zuvpfMEUHHqTcjry8npQgxGWYHxo7A97STFg5ovvL5GlW0cnC15Zmueo3BvDkj4GX63HwdsFO1UNnRjDo3prNbSuQYnnVuKkxyzocFHGJzmXT3H8mt1sQZcK6qBf39D/XVb+d/vjb3dzuArQbaxXsFVBkgMW2sG8qmKvAHaGTtwoAeEwzecV44/qvEhx1TsUt1k0FTqgnRZyYZ5/wAWx8gSzqKuvzP/O6dtlOeSzZPtGWJ3TgQSq/2cB5oF1gVQHFGYSTQTk3XlMyqPZZ9mn265yz6qO6jsFCOUiVPeFvl3Uib5fRKqBBubsMrspUq7pObpSVZWN9VXpVxP11MnEdtasPdazadOBV6cPZIp9nfTGwKVvi/igdZqDlR02cfVUBu+sry4Ptc3BVvJUdVcmY+q1m8c5mK5DEMcFXS7G+3Guh8qNWCbJM1T8ewzyPq1qub4oONEhVyuqcsqpTvX7FBfAu23DyOH6ub8inAiQHmK4fbtcSy8xBaxKYVZ8cCLpZheuzG4sqSLOTI6n28zdnlpyt8jLR1tZWbGxs7FqGQt45I1JviFAbKdSWc6Undb5LehQIYJDja5W+VELhfFHNBPEbZcAZjbJFBP1qnNkvHN/8MPBwYoHnuD62p247oH25sWO5U6ZcElX2mvK6N5yodrBPUz90q0OcPGPScenSpfFzUrP51v9PDz74YLzsZS+LEydOxE033RTf+q3fGh//+Md3lHnmmWfi7rvvjhtvvDG+6Iu+KO6666545JFHdpT59Kc/Hd/yLd8S1113Xdx0003xl//yXx4LjFRlT66MCl4uK1GETuqAwGV4HAQUP/fh9lVflFwumLl+XI7PXnjvtS6PtdIjnlM6YlBQ41vJygGQ75vhzIiX/1wdFzycLXZ24367+s4uO511dljp2M1o1LUltq/Gyd3bVPxx+dWNI8vKO+dWte9qlsdlut2ES/Xmxqb6dDIrWjST+sAHPhB33313vOxlL4vNzc34/u///nj1q18d//7f//u4/vrrIyLi3nvvjZ/92Z+Nn/7pn45Tp07FPffcE69//evj3/ybfxMRn0fdb/mWb4lbbrklfumXfik+85nPxJ/9s382jh49Gn/zb/7NJeKMOqumwh2/CbHTcVbVzaLczAr5coY4kY3lUsGEy6sAMg1kKlhWsnFARxlc4IvQf2DoZFEONk0+ut8crNR17mu+PVrJgcGtkksFUOxz1xc3e3XyT8q5GZ263+JkxfMpJ+otaWtr5wO81fiibDiT4LZ4aZjvv6A8qg2uy7K5pULsI9dTCUj10KuarfF4uESKdaeuK9upZODzfMxgOaG1rWlUFvS7v/u7cdNNN8UHPvCB+KZv+qZ47LHH4vnPf368613vij/9p/90RET8x//4H+Orvuqr4qGHHopv/MZvjJ/7uZ+L/+F/+B/it3/7t+Pmm2+OiIgf//Efj7e+9a3xu7/7u3Hs2LG23bNnz8apU6fi677u63bd5FSkDKSq44xSzYjym7MtN4NKUpszlON1A6n4cABzgYyPu3MVD0XVmLg2VdDgrM3xcyBTBZr8zvOZCR89enRXAOaNCty+26iRO6jcs1y584nbyzFdW3v232nVsiyWZ1kiYlfWnpSyqU0mamyzvtq8oUC280m2V5bLtcegzsE1y7IcnGio2d7U7tn3FWB3swlOPnApF8eP/yE3InYtmbmkgV8e63zJ9dvpB3mgfFXcy3HNf/B9+umn4wd/8Afjsccei5MnT1p9L1ruY3rsscciIuL06dMREfGRj3wkLly4EK961au2y3zlV35l3HbbbfHQQw9FRMRDDz0UX/u1X7sNUBERr3nNa+Ls2bPx67/+67Kdc+fOxdmzZ3d8klRQc8shWAfrOuNV030klU277wq81Pd0aqyMqupb1Q8XyNR5Z8wVubFyenZjU9VTfXSyMT/UBder+E4cXx2znqs6zr6VbpwNK31NdVfZUSWna9u12y2VoZ7Zb9SynOqDawPBkWcorF+UScnj7IjrZHv8RvKuHM6OWJ8sA4Me8lQP2fJHlVM2wOUdSHcxjWnljROXLl2K7/u+74s/+kf/aHzN13xNREQ8/PDDcezYsbjhhht2lL355pvj4Ycf3i6DAJXX85qiBx98MB544IFd5yeBMQeSFbJ0Bpbt5beaHbl6S69X5ar+Vln2pK1p2Yp3pRuV6XFA5LK8/ILyOrn4N/dNOS8HuiqYcl+Yp+pT8uKdTVXwRx5uOcrpkGVVs/LsNwY61RfW3SS5cHKpLJvLYRm1Ky2/s6yafSA/ZXNsX7y0mHyZD8vBv/l9hhVlH/gVWmknaoap4hj3UYGkkhdt0fmsSroqcjsGuc0ltDJI3X333fFrv/Zr8a//9b9elcWY7r///rjvvvu2f589ezZuvfXWbQdxSuEghcGqUjiWmwBVkhoAxyevdYHeta3KV9eRkDfqivvtZHOyq9kA0hSkMLg6+Tu98u8qs0Z5+MWyDPwY0FXgymusizzH9upmg8jPjacCERfQWQ8MUG5csf9cnmd0TvfIl2XCNrie6r+TU51nWZl/F3TdrBjlw3JbW1vyD//crKGya/yd8vOzgtgHtB/3nGcli0ucJ8Dk+Cr98CxrQiuB1D333BPvec974oMf/GB8yZd8yfb5W265Jc6fPx+PPvrojtnUI488Erfccst2mX/7b//tDn65+y/LMB0/fjyOHz++6zw7NH5z0M1zigeSciLXJmYN6uZs99s5ihrAKrhPjE4BNpdXQSypAxgHAkgq8LMeOvBiOaeGrtpRwIP3Pzi4cTmsq/TNoKTGFXeDOYBydutmeZixrpK5OgDiGaiaQanA7gAdy2VdnNFyOW6b6zN48rHqQ5JKditZWdduiz7yqGJEluGZIutva2tr1x8/KiBOXvlRNsq2ie06cOIEdwI2DpymvrvontTW1lbcc8898c/+2T+L97///fGiF71ox/WXvvSlcfTo0Xjf+963fe7jH/94fPrTn4477rgjIiLuuOOO+Hf/7t/F7/zO72yX+fmf//k4efJkfPVXf/USccaddE5eBQHHR31WkVMFzK4dFcBd/7DtyayMHQLlUMFwcm+h60MXUCbEy068BVj1k8vii1rxg7z4pj23wWU5kCpZXd8ZMNUyFo6jAk1nn9UYdXpDG3GzP9VfNe78UUCOcrH+eRzYf3gcJs8gKR0tqeP4KL0r/WE/GGSS+HcnowIEV94ltrgkrj5YF8Ey6+Drl3KTRX5PaNFM6u677453vetd8TM/8zNx4sSJ7XtIp06dimuvvTZOnToVb37zm+O+++6L06dPx8mTJ+N7v/d744477ohv/MZvjIiIV7/61fHVX/3V8Wf+zJ+Jv/W3/lY8/PDD8QM/8ANx9913y9lSR2rpipdauqUrl2lgmSktATwur46rYNHNoLBfrm+cOTkZpoDp+qbKdHwqqoJvktJFBbgMNtxONxNkmdSswumB+TFf5q8CIAd3tPtKFtSDk5V9ittXM/BqjCdBMstVAMxycR21lIh+UfncRNZujNU4YdkKPFTfujpOxlUTetZzNZNiXXL7/LksIPVjP/ZjERHx8pe/fMf5d7zjHfFd3/VdERHx9/7e34v19fW466674ty5c/Ga17wm/uE//IfbZY8cORLvec974nu+53vijjvuiOuvvz7e+MY3xtve9rYlokSEfnq7GowqUEwGkQ1IZTUTmjitci51LmVBmfjc2tqavaGbfed7Lyxn5WiVoyhZJ0Ggq4N1MVPmd5OhM2Q/sw7OghRIcZDlZReXefJvBR543vWLs/8uCCJh9otvBMDzEc++lw516P5SAcGMZ4pYzi1DOlKBCwEGx7Z7qS7KyjMst5ym6rpgjW26GQ37BS6r8blqxxzbWNoz/k0JknqzRAUkqt8sI57je11qUuBkz3OrvHFiEUhNAvk111wTP/qjPxo/+qM/asu88IUvjH/xL/7FkqZXomnG4cojuQCR9VTgdjO7ii87Fa+9K1m5vsoUK0DMc6yjCQhNwUmVV065pH7E7iUlvJ43m1WQcB/VXldOna/Gp+tr1R6em9zr4W8MkDiLVmBY9aGzFZavep8fEidLDIpueY/rI7kZmhtzNSvEegx0yEfJr/qmZMc6Tvcq8PNv9XHlVZxgn8wyXdvunCqz5GHeA/3uPkdqIJYEUxXYFX8VBLA9DARuyt0Ff75eTeE7gFKBCM93wUfJqALbdAnEBUfsJxM7Ot8bU9fwJaVVm9wP5bgOpNwst2oDKfurghwGLQza3O8OVCKenZVExK6b/V22Xekh5XbyM39nNyqZqO4rKXvIc5XPqTHrAjrqjMeD+4T8Gdi4/iQ2Ve05mbskeRrneJar6qjZmyN85mtCVwRIdU46LcfXHejkOV4yYEN1mYwLdiyHy6iqfqKDMs8OVNlxK+epAI37ydc4yDpyM2G38871dyJTUoIZzjayrJoZ8Hg6kEZbYbvhsVK64SDML5pl/lgPg2XWZxmYGFhYLuUbaENKx272hjNdpTv3v2IsF75lwu22YxlTN7kkWi2TdWPiYgH+Vm+A6MACifWrxpGf+cJjNW5cTtVjUOGl3rzOelP9vKpmUtMsJGJ3kEAeiq9qQwVhVW9idBzYqnKqL3nNBXJ1jb8VSLk+Obkm+lPnJiDNfeUA0+mZg+ekbSQH9C4AqTaVLhypPjmbdbwVAHbB1MlSJWFcH8fGJR4VUFQgVc0c3Jh02Tz3B/uLgVYFb+c3qt/O7nHm7ACjWilR/UTZsb7yA+ap5EX+TiYmBjPW5eQlt0wHGqSSlGL599raWquYqdL2IpsL6m5KXvFlw3M3Uh1Q8LeStQIh55TdDHMCFCyfCrCO3JKMkp9lUcfqvpeTg9tUASDtEG+Aq9mJA2LMWrlvbqlrOrZVYqP0hZuXHFBye07vym6cbKwntkXWPfPZi6+jTfDsUgGpqq/81oGB4uWeg2P9VffIsM0uNqp4gdfU7C15b25uxubmZly4cCEuXry443tCBx6kVAalDIUVl8S7ndxAIc9uJsblXVnMoCrnrPiowJbl0fgdCDm53PUK1FhOJg6+SqeOr1oCU1klHqfjKBBQ8uA5B0yVs7OOsm3uf8TOZUUnn+KX9oKvzVHjq5Iexd8tD7PMbszYfvEc8sB7VhXQq5mzkq8aCwa+qn8VcZ+mNsJ9qfhzeTd7Y8pyuHNT+aazYeRTvcqoi29ZFmMZ9yWfj9rc3Nz1rNSEDjRIKaU7o3Yg1WUsq5JyKiblTBPCwOCML8s4AORzTo/K8BWPJUFuMiNS8rhNAmqscbNEEmeVqn9K1iUzKT7vZjn5jfeYpvpQSzCdH1TjXgVF1APXZ95qBqX4IL8kNetX+nJ94PbZt/YDrJR8rBu8XgVhNR4p3+ReTZbLbdx83zHPoZwOpNIOeQUC+6TOsTzME/1QgdRVsdynstccIFY4Z36KOodV5VW9zlnxuyvfta2CRyf3hDc73EQ+B8yc1TmwyXZUwM5zE2B390UuXbpU/rUEytAtL/KMjr9VMMcgy+OmbFmdc0FIlcNvPk59qOQNx7va2MLEgbAKbKgjXM3AwK6eg3SBVpXDPiq/ZvBSMxmWMW0H/6ZEJT1Zx/HF57xw+bcK3sqm1LsCVUKT+sXvSh8VOb25t6mnTKkPNa4VHWiQSlJB1BlxNaBYfknbihSPKoCoepwhqmt57Pq3qvzK8SpgwLZd5lk5NJfpZOE2XVkVJCag6zLPbJODcTcb4fMMVGrGW80cFDhVgOTOqSSOy0/1xfJV5bqxcMCjgNAFXuSl7FYBtAOpSgZH7C/KbtRfcEyfKeNrnW9WfKYAhe04QGKeLlmZAtUVAVJJOPh443RtbW3XDV40GMWnm1EtyQSwfNeeatuBg3LYJbJMyk3KKgNlY2Sn5gCd91iq4NslHlkXg/jW1udv3GIQdjOttBsswzrItnAZ0GWSKDP/xvM8A6sCPLbb0RSo3Nu1Vf8n7fF9Xjw34VHZsZLLzQwqyuvYd551OfBTAMVjWPVH1WWg4voVEGMbFRgvBQdFKunj2ZR70/kqABVxwEFqidEzMKkskbMYNAp2COW81eypk3cKBkvKVzSVC8uwA7tynTEqp3c31BWvKnAw+FUO6mSrgLHqCy5n5Bp/NbucyMlLpAocHTCy/liH+ZsTOpVUKB258m4cKz6KF+qH+SwFCtRXlsG3kbhZlZIr6+K/4qp+OKDk/uDybYRe5lR95PNuhoO8WY+YuCn+zIt3FbI+8eWxCnx/X/9P6rlGOGjOONJw+GZ2DhgbhwuE6vfkATonE34r2d06dRVApyBSlZ1SBypL6lXyqf66ehzAVUDrgqQK0tU4YGBKW+oyyQpYGJT4PD6A6oA7Yvcshmc4/CYBnqm4cVTlut17ijCJ5IAd4Wd6Cnz4Id48PnLkyC59ccCsAADviW5tPbtjDeVwAMo2iXaBZXkcMLawPSs5UV8sSx67GbjSJeuKZ0yss9RJvmOQZ1bu/mBHVwRIoYO6TCApDUQ5IGZAVSaE5fl46QBMqAKjrqwD2lWByQXCdLIqsE0A2y1lMQBNSL2807WblMFG3RTnF3hWyRDL6/SuQDDL4Zs13EyKExi1iQJ/K9DM8/zqKObBga/aNs9tOHCv9KHqqs03SSpLR32pWYCqo+wM7Yhjy5EjR8oXODMhWLGuWbcYi1xMU22pJE3JofqM7TG4KJDKD+7gw6QhZ1arAtUVAVIR2qDUIDmAQmIgY+NwWVIHbJXB8PkOXLv61XUGgVWAtQrElSycTbqMr5Orc7rOQR0vDBAOWFzAmIw9t8t2ViUVlW5ZbpWpT/rObTiQcvernN6dzO5aJSMmMg5IuE+oF44PnZyK3OzV2QDbCz4np0BqanOqbgVmzkdUGV6yY6DCdnjGhPyrz4SuCJBygaILclMDc3XZuBWw5XEHLio4cfbG5xwvdYy/1fZpPp7I6ta5HamArIJEl8mqjNHJPwmAnMHmc0sKiHPJiN/dp/pancPgwmNabTJQY4qzhVyW4hlWHmOWy/3D7cycQFQPhXJ27frivic2mLaG7/HjIKn6VQV9/ofbaqNItqt0z2CDbShwyrZVsqhsudqIgHKkDO7dgNiGAgoGJJwB8TWUMc/jTAplVDyuuod5I/R0XBmbW5NVM5fqvPu9dFbCwUCdZ8NUAa6SCc9VgOgyuq491yZfd3KpdiN23i9x4LskEekCl5ORy2DbS5KGiYyTOgoQMlAxnyoD5zoqCKrdhEv052YrqpwbY2W7yu/VeZX1s8xMvPmG+SqbrfrMsjA/NZauPZZdLU8rvShdMPAhCLl7SVyXeeNvboNBarqJ4ooAKZWhV3WQnDFXQUcFPzxeNZC7Ms6BqyBRAcI0cE7Ld7wqWbsgzfUdcLvgU4EUEwYX5OeCf9ZZAmzu+tQ2lG2pzQosowIoVZ758z0w1zelb9SlG+MKnFR5dezawL67nZZKlsou1QxF2ST+VucdoDjQZDDD8ryxpgJiBgsGKd70UM24qgTItbEKHWiQSlIGXwW+LOsAatqeMtQ0GvVOrQlP/J3yqAChjHxK7AxVBs3tqGzJ9YHbQudWz0TxX7ezTEwcBFW/OOioZTxsC50KdVAR9kdlxpX83TKd6j8nUx3I4fKP2tKugC1pY2Njuxzfb8h6bgOF0m8V+JMX9lEFeGV3Oa4cHNHe0J9Qbxic8a0k2fe1tbUd19k2XOxQgTxtfGNjY8esIiLkbAj1hjJk2zg+DuB4HHA5j4HEAVPVNxz7jY2NuHTpUly4cGFHG27sJnSgQWpJBqqOI2b3MbrsRMnjMkXH37WjqAqyrjzXq/o4CXyujUpObn/Shgp+VYbOZV2bqm3m5xyx06OTG/l2OnJB3bWlxs/ZhJLfgYwDMqUPV39KHKCRlgY6l1ChvNMHohGk85yT1804+Frlu6hjlXh3NubGgGdAkw/3rSuD7TtdLJ0UHGiQYnKO6YJZ1lmFp6M0ZjUb4PZWdWJ0MMyAqjpcXwE3B0Y0QAcKDkSwPXc/w/FSjqnK8QzTBX8MtBXIVBmx4ulATj0YqWTLPiAILNmM0vVBBdEJqGNdls09aKrszF1He+Vy/LwhjwfPkLAcfhR/9wwXgzrywD6lvfF9OvQPJU+eY32ovqmx5LHj+4gYb6qkoZOPZ1Msm9vhVwHQ2tqzGydwKXFJTD3wIOUGAc9xFljxYHLBpeLBywBsZFXmo9pXwZF38rCsLG/lnOxg+V05iHIE7HP+Vg98VuCEbVeAmG2h83B5BUwuUFW6y2vYdyYMMPwgKsqKcrmHYTti8E/wQN3j38RzH1XW6+yCy/ELTZV9OTtHOdQzWVxGBTQXqLvMXi1fK3tVPLF/uATIMkXs/mt05uESKdQJ2kylg2yPdaJ2KVb+zfGSgQ/9DH0t66k+s6wIfkvvUx14kKoIBySVyoGHzzsezigVTYCsAioFpl2gxeUI5lnJq4AqQt8TcEGoA28Hli6guSfm83f1wKprw32Qqr4iUClQVfWzPIJufvOOuapdNQ5VwFX6yvPVw6tOBi5XBfcJ8OAx9sUlSKzjtbXdf4Phgl7lM1yOgy/rs6rPsuB3d77rgwv6EbED7Ks4NmnHlcnj3JIeEbsAzIEU8nP3Wzs60CDFhqdu+nUDt4rSGOzQsPcKZgqsMOBVwZ0DopIbv3H5QpVTQKECBwcv7osCKTcrqYBC9aPLUrGOAhoHnm7ZzQVCPFYOjh+0UzeWzC95dfra2NiQvKrgm6RmydgGBkPmo4BKgQ2XQT7cH1W2KzMFJSZuv2pTAT2CRlLOZnEWkuCKS1+K1Dhjf1S8yXIO3LFfGC+xXjUW7LfKDxHQ0tZXBaekAw1SXcDrSA0CXnMZARtJNQCOpwtMFXBV/XPZMLat+uKuMZ+Ol7pWgZSTceK0yjm4PTynMtoquDp9VyDoyjlHjohd9xJQLs7gJxk2g2uXMbv+sK6dPHiNr2MQVH6G7fF9KFeOZVe+xM8NIS9uw9k0Ax6XqWKDAgNMHjFRUe2qY5ZLJaPOVhVIuTKqviOVtFUJ2V7owIMULptg1nI5CY2DM1IMfmwYKqiiweH5CrzUcWWwLHsS36hVxxMgYX1wWyoAqq2xip8LFs4BOItm/jxeSr4uWEyCgwu8KH+S2gAyAUD8nYE5fUEth6k+cIbu2uzkcUu0GJBx7HmmymPJQMH2pcYdH2FAkOqSH3Vtid0p24/YPZPKMvm2iQqInKwqZnC7fE+L5ez0ovgqkFOU+lEPAruY2dGBBil301zdn+HgobIwLpvEmSTXd1ldxzMdapWsikk5mzMKBRSVw3T9wGvMm8dFtZXl1JhVzqGSAZcFu3HG2YzqB/J1feZjBWJVUKkAmtusdv+pNxdwgFA71CpQV9TNJKq6CtRdMFTjwz7ifAbv1WC/kwfqJwEuCf2im+WpmYoCGvT3CnSrBE3xxfHFY3fvEUGTE5yIkK/9Qtmc7Sb48t/DI2ihfXR2gnRFgBTeGE5yWXSVNTG5rLsiJ4cycObXGWXloJV8LlhPl0m5D8yP5WBnZMerNgwwccav5HI6rACYMzt1nvk5fTBfVbcCKdcu8+nkidj54tK8pjbULAEoFVS53apvnX0pUsCFv51NOPnzu0rY8rfayIG81b1wbo8TQDzH+lRAzTKqZWFnUwrw8Bon9yoWOJBybWWdfH8fx1z8JO+r4rVIrGx34zfCZ4YuOKpyk3NTPiqIOiDDc9PsQ8nIDqKW3CoZMOCq65ihY2aa1zpdZ7KBS0f5O7c+T4HK9ZmdbhLkVHuKlO7wTQjV+nyXWWIipgIr8ueAiPyzTvfmjfxWy1JVHyJ2L/2p5MaRAgcGXi6r+oFvcVBtV8DPjxA4EOFl2qyrQB0Tgwllm0p+HGv1gLGz8SyLu/RYH1jf7dZzwJqzqfwzyOSrtp5fNTMpJpUdc/ZUBXqs2wXUpcA25deB01KZqoBdZZh8PQkdUz20qgKGIpftIl8u7/Tg2uKyyhacvpmvAzRFyJfbmthWtsdlGXxUEuFmctyvCUApnXSBRWXeXSJQ2Tv7tAIA7ptqp/MfV9/JpACCebnZCNsx96dLpFygV7bg9IGgn0CSMld8mQ/L4cCb+3TVgFTnbFgOv6syETvX7SsjQF5oeNUzMExYdxoEHU2AkKf1VQB333mMIIWZOj+Nr4If3z9R8iunVX1C+bmd/I0y8zhVILVkbNgeOQDx7EQFW5Whopz4XekDSdmxko9l4bLqGsuKgVu1UcnneKmAnr9zud+NYdblnZSuHB+z/DwrcAmP28CFemZfyfM5I3GzOL7Ho/TtAArHB98Xubm5uf2d28dVgpPl0edxhSBn6LgF3fX/qgEpJjcjqECF+algrdpEY6gCfJfFTUk5jxponuEouZWMzrjZAR1IqbcIdJkgOnU6Dd/kxnrcZzW2fJ2XxTiwKH1NlmVUgFC/mfJaLmGyM3PwcYEI+fELjd2YqTJJ1cOYztYUyKUd8F+uV/avZKnazGvd5p+UiROVrh/YToKh4+mWVtkW0c5QZrwHxr7EvNSH7c75HBP6WYIigiPqC/u2vr7zBdoIUtgXtielkwkdSJBCxSoDVcZaBUpVplKkA0cktWOMB9NtQ+V20Fj5Ggc0tbMR61QBtAI17I8DqewjZofYZ3Q8nkml4bu6TmZ2IKWnBECu77Jw1R4HAtYXByoVCDO7TFkSpKobyKkb3F7ttnDnDesEreoeiEpSVADZ3NzclsHJquwm+8fjk9c6YMmAiRm9m3mgniofzut8v7TqC9q4mh0puXi2w7ySjhw5EhsbG7u2y1+69Pm3iGd9x5vvQSobzzpZD8El7e/ixYtx4cKFHd+sdwTA5JMfvAeVlG9Bz5mZ2uF34cIFOU5MBxKkHn/88YiI+MhHPvIFluSQDumQDumQ9kKPP/54nDp1yl5f21o693oO0KVLl+LjH/94fPVXf3X81m/9Vpw8efILLdKBpbNnz8att956qMd9oENd7g8d6nH/6Lmsy62trXj88cfjzJkz5fL6gZxJra+vx3/z3/w3ERFx8uTJ55zyDyId6nH/6FCX+0OHetw/eq7qsppBJc027R/SIR3SIR3SIX0B6BCkDumQDumQDuk5SwcWpI4fPx4/+IM/GMePH/9Ci3Kg6VCP+0eHutwfOtTj/tGVoMsDuXHikA7pkA7pkK4OOrAzqUM6pEM6pEO68ukQpA7pkA7pkA7pOUuHIHVIh3RIh3RIz1k6BKlDOqRDOqRDes7SIUgd0iEd0iEd0nOWDiRI/X/t3V1IU38YB/CvljPN5rI5NwtNw5LyhbIcI7py6ETCXi5MvLCIJJsXlXXRRdqdvUAXhdhd1o2VFxZJCaZuYs1VZlQaorGSalNSlvMtX/b8L8IDJ/1Pu9k5+/+fDwzc+f02nt+X8+Nx7LBTXV2NzZs3Y82aNdDr9Xj58qXUJcnepUuXFv3AbHJysjA+PT0Ns9mMDRs2ICIiAocPH8bQ0JCEFctDe3s79u/fj9jYWAQFBeHhw4eicSJCRUUFdDodwsLCYDQa0d/fL5ozOjqKoqIiKJVKqFQqHD9+HOPj435chTwsl+XRo0cXnaMmk0k0h7MEqqqqsGfPHqxbtw4ajQYHDhxAX1+faM5K9vPg4CDy8vIQHh4OjUaD8+fPL/ljsVILuCZ1//59nD17FpWVlXjz5g3S09ORk5OD4eFhqUuTvR07dsDpdAqPjo4OYezMmTN4/Pgx6uvrYbVa8f37dxw6dEjCauVhYmIC6enpqK6uXnL86tWruHHjBm7dugW73Y61a9ciJycH09PTwpyioiL09PSgubkZjY2NaG9vR0lJib+WIBvLZQkAJpNJdI7W1dWJxjlLwGq1wmw2o7OzE83NzZidnUV2djYmJiaEOcvt5/n5eeTl5WFmZgYvXrzAnTt3UFtbi4qKCimW5BsFmMzMTDKbzcLz+fl5io2NpaqqKgmrkr/KykpKT09fcsztdlNISAjV19cLxz5+/EgAyGaz+alC+QNADQ0NwnOv10tarZauXbsmHHO73RQaGkp1dXVERNTb20sA6NWrV8Kcp0+fUlBQEH379s1vtcvNn1kSERUXF1N+fv6/voazXNrw8DABIKvVSkQr289Pnjyh4OBgcrlcwpyamhpSKpX069cv/y5gGQH1SWpmZgZdXV0wGo3CseDgYBiNRthsNgkrCwz9/f2IjY1FYmIiioqKMDg4COD3LU9mZ2dFuSYnJyMuLo5z9cHhcMDlcolyi4yMhF6vF3Kz2WxQqVTYvXu3MMdoNCI4OBh2u93vNcudxWKBRqPBtm3bUFpaipGREWGMs1zaz58/AQBRUVEAVrafbTYbUlNTERMTI8zJycnB2NgYenp6/Fj98gKqSf348QPz8/OiYAEgJiYGLpdLoqoCg16vR21tLZqamlBTUwOHw4F9+/bB4/HA5XJBoVBApVKJXsO5+raQja/z0eVyQaPRiMZXr16NqKgozvYPJpMJd+/eRUtLC65cuQKr1Yrc3FzhRn2c5WJerxenT5/G3r17kZKSAgAr2s8ul2vJ83ZhTE4C8lYd7O/l5uYKf6elpUGv1yM+Ph4PHjxAWFiYhJUx9tuRI0eEv1NTU5GWloYtW7bAYrEgKytLwsrky2w248OHD6Lvl/9rAuqTlFqtxqpVqxZdpTI0NAStVitRVYFJpVJh69atGBgYgFarxczMDNxut2gO5+rbQja+zketVrvoop65uTmMjo5ytstITEyEWq3GwMAAAM7yT2VlZWhsbERbWxs2bdokHF/JftZqtUuetwtjchJQTUqhUCAjIwMtLS3CMa/Xi5aWFhgMBgkrCzzj4+P49OkTdDodMjIyEBISIsq1r68Pg4ODnKsPCQkJ0Gq1otzGxsZgt9uF3AwGA9xuN7q6uoQ5ra2t8Hq90Ov1fq85kHz9+hUjIyPQ6XQAOMsFRISysjI0NDSgtbUVCQkJovGV7GeDwYD379+Lmn5zczOUSiW2b9/un4WslNRXbvyte/fuUWhoKNXW1lJvby+VlJSQSqUSXaXCFisvLyeLxUIOh4OeP39ORqOR1Go1DQ8PExHRyZMnKS4ujlpbW+n169dkMBjIYDBIXLX0PB4PdXd3U3d3NwGg69evU3d3N3358oWIiC5fvkwqlYoePXpE7969o/z8fEpISKCpqSnhPUwmE+3cuZPsdjt1dHRQUlISFRYWSrUkyfjK0uPx0Llz58hms5HD4aBnz57Rrl27KCkpiaanp4X34CyJSktLKTIykiwWCzmdTuExOTkpzFluP8/NzVFKSgplZ2fT27dvqampiaKjo+nChQtSLMmngGtSREQ3b96kuLg4UigUlJmZSZ2dnVKXJHsFBQWk0+lIoVDQxo0bqaCggAYGBoTxqakpOnXqFK1fv57Cw8Pp4MGD5HQ6JaxYHtra2gjAokdxcTER/b4M/eLFixQTE0OhoaGUlZVFfX19ovcYGRmhwsJCioiIIKVSSceOHSOPxyPBaqTlK8vJyUnKzs6m6OhoCgkJofj4eDpx4sSifz45S1oyQwB0+/ZtYc5K9vPnz58pNzeXwsLCSK1WU3l5Oc3Ozvp5Ncvj+0kxxhiTrYD6Tooxxtj/CzcpxhhjssVNijHGmGxxk2KMMSZb3KQYY4zJFjcpxhhjssVNijHGmGxxk2KMMSZb3KQYY4zJFjcpxhhjssVNijHGmGz9A7qFgqDru+fkAAAAAElFTkSuQmCC\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"image_class, prediction = predict_eye('s0016_01639_1_0_0_0_1_01.png', 'close')\n",
"print(image_class, prediction)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 469
},
"id": "QEAmIk4dQkYv",
"outputId": "f0e3abb6-5d20-475b-8f41-829a004cfb69"
},
"execution_count": 38,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1/1 [==============================] - 0s 25ms/step\n",
"close 0.000192\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"image_class, prediction = predict_eye('s0014_08322_0_0_1_1_1_02.png', 'open')\n",
"print(image_class, prediction)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 469
},
"id": "ty8ewLfMRS8l",
"outputId": "a9efaadb-9b28-45d2-95ee-1d643a7e38f1"
},
"execution_count": 39,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1/1 [==============================] - 0s 25ms/step\n",
"open 0.999007\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"image_class, prediction = predict_eye('s0016_01038_1_0_0_0_1_01.png', 'close')\n",
"print(image_class, prediction)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 469
},
"id": "MtPvWyEmRmth",
"outputId": "ff0de5bc-a7ab-462c-c1f1-d7d58cdb29af"
},
"execution_count": 40,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1/1 [==============================] - 0s 25ms/step\n",
"close 0.000077\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
}
]
}
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