{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "CK+ Peerj.ipynb", "provenance": [], "collapsed_sections": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU", "gpuClass": "standard" }, "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "id": "DZzFYmPLg7Dk" }, "outputs": [], "source": [ "" ] }, { "cell_type": "code", "metadata": { "id": "zEM2-ex1soQp" }, "source": [ "import keras\n", "#from keras.layers.core import Layer\n", "import keras.backend as K\n", "import tensorflow as tf\n", "from keras.models import Model\n", "from keras.layers import Conv2D, MaxPool2D, \\\n", " Dropout, Dense, Input, concatenate, \\\n", " GlobalAveragePooling2D, AveragePooling2D,\\\n", " Flatten, BatchNormalization, ReLU\n", "\n", "import cv2 \n", "import numpy as np \n", "from keras import backend as K " ], "execution_count": 1, "outputs": [] }, { "cell_type": "code", "source": [ "from tensorflow.keras.layers import BatchNormalization" ], "metadata": { "id": "eaKOZ9DFwmgM" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "Vmfjy-KPszqw" }, "source": [ "from tensorflow.keras.optimizers import Adam\n", "from tensorflow.keras.layers import BatchNormalization\n", "from keras.layers.convolutional import *\n", "from keras.metrics import categorical_crossentropy\n", "from keras.preprocessing.image import ImageDataGenerator\n", "from keras.preprocessing import image\n", "from keras.models import Model\n", "from keras.applications import imagenet_utils\n", "from sklearn.metrics import confusion_matrix\n", "import itertools\n", "import matplotlib.pyplot as plt\n", "from skimage import exposure\n", "from keras.utils.vis_utils import plot_model\n", "%matplotlib inline" ], "execution_count": 2, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Use6VvZZs3yI", "outputId": "5d665924-df79-426c-c3ad-00ee2703aa76" }, "source": [ "from google.colab import drive\n", "drive.mount('/content/drive')" ], "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Mounted at /content/drive\n" ] } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "wapeAhQBs-7L", "outputId": "0a09662e-1351-45dc-b253-28aa9788493e" }, "source": [ "!unzip \"/content/drive/My Drive/tfoldNC.zip\" " ], "execution_count": 4, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Archive: /content/drive/My Drive/tfoldNC.zip\n", " creating: tfoldNC/\n", " creating: tfoldNC/fold1/\n", " creating: tfoldNC/fold1/test/\n", " creating: tfoldNC/fold1/test/anger/\n", " inflating: tfoldNC/fold1/test/anger/S010_004_00000019.png \n", " inflating: tfoldNC/fold1/test/anger/S011_004_00000021.png \n", " inflating: tfoldNC/fold1/test/anger/S014_003_00000030.png \n", " inflating: 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tfoldNC/fold5/train/surprise/S063_001_00000013.png \n", " inflating: tfoldNC/fold5/train/surprise/S064_001_00000012.png \n", " inflating: tfoldNC/fold5/train/surprise/S065_003_00000022.png \n", " inflating: tfoldNC/fold5/train/surprise/S066_002_00000022.png \n", " inflating: tfoldNC/fold5/train/surprise/S067_002_00000014.png \n", " inflating: tfoldNC/fold5/train/surprise/S068_003_00000014.png \n", " inflating: tfoldNC/fold5/train/surprise/S069_002_00000014.png \n", " inflating: tfoldNC/fold5/train/surprise/S070_002_00000016.png \n", " inflating: tfoldNC/fold5/train/surprise/S071_001_00000013.png \n", " inflating: tfoldNC/fold5/train/surprise/S073_001_00000013.png \n", " inflating: tfoldNC/fold5/train/surprise/S074_002_00000016.png \n", " inflating: tfoldNC/fold5/train/surprise/S075_002_00000014.png \n", " inflating: tfoldNC/fold5/train/surprise/S076_001_00000017.png \n", " inflating: tfoldNC/fold5/train/surprise/S077_001_00000028.png \n", " inflating: tfoldNC/fold5/train/surprise/S078_001_00000033.png \n", " inflating: tfoldNC/fold5/train/surprise/S079_001_00000012.png \n", " inflating: tfoldNC/fold5/train/surprise/S080_001_00000018.png \n", " inflating: tfoldNC/fold5/train/surprise/S081_001_00000019.png \n", " inflating: tfoldNC/fold5/train/surprise/S082_001_00000015.png \n", " inflating: tfoldNC/fold5/train/surprise/S084_001_00000010.png \n", " inflating: tfoldNC/fold5/train/surprise/S085_003_00000013.png \n", " inflating: tfoldNC/fold5/train/surprise/S086_001_00000019.png \n", " inflating: tfoldNC/fold5/train/surprise/S087_001_00000011.png \n", " inflating: tfoldNC/fold5/train/surprise/S088_001_00000017.png \n", " inflating: tfoldNC/fold5/train/surprise/S089_001_00000016.png \n", " inflating: tfoldNC/fold5/train/surprise/S090_002_00000011.png \n", " inflating: tfoldNC/fold5/train/surprise/S092_001_00000017.png \n", " inflating: tfoldNC/fold5/train/surprise/S094_001_00000010.png \n", " inflating: tfoldNC/fold5/train/surprise/S095_001_00000016.png \n", " inflating: tfoldNC/fold5/train/surprise/S096_001_00000007.png \n", " inflating: tfoldNC/fold5/train/surprise/S097_001_00000021.png \n", " inflating: tfoldNC/fold5/train/surprise/S099_001_00000014.png \n", " inflating: tfoldNC/fold5/train/surprise/S100_002_00000015.png \n", " inflating: tfoldNC/fold5/train/surprise/S101_002_00000019.png \n", " inflating: tfoldNC/fold5/train/surprise/S102_002_00000018.png \n", " inflating: tfoldNC/fold5/train/surprise/S107_001_00000010.png \n", " inflating: tfoldNC/fold5/train/surprise/S110_001_00000013.png \n", " inflating: tfoldNC/fold5/train/surprise/S111_001_00000014.png \n", " inflating: tfoldNC/fold5/train/surprise/S113_001_00000012.png \n", " inflating: tfoldNC/fold5/train/surprise/S114_001_00000018.png \n", " inflating: tfoldNC/fold5/train/surprise/S115_001_00000008.png \n" ] } ] }, { "cell_type": "code", "source": [ "batch_size=124\n", "train_sample=512\n", "valid_sample=124\n", "test_sample=124\n", "img_rows,img_cols=48,48\n", "#train_path = 'sorted_set_3_frame_split_8_2_new/train'\n", "#valid_path = 'sorted_set_3_frame_split_8_2_new/val'\n", "#test_path = 'sorted_set_3_frame_split_8_2_new/val'\n", "train_path = 'tfoldNC/fold1/train'\n", "valid_path = 'tfoldNC/fold1/test'\n", "test_path = 'tfoldNC/fold1/test'\n", "train_datagen = ImageDataGenerator(\n", "\t\t\t\t\trescale=1./255,\n", "\t\t\t\t\trotation_range=30,\n", "\t\t\t\t\tshear_range=0.3,\n", "\t\t\t\t\tzoom_range=0.3,\n", "\t\t\t\t\twidth_shift_range=0.3,\n", "\t\t\t\t\theight_shift_range=0.3,\n", "\t\t\t\t\thorizontal_flip=True,\n", "\t\t\t\t\tfill_mode='nearest')\n", "\n", "validation_datagen = ImageDataGenerator(rescale=1./255)\n", "\n", "train_generator = train_datagen.flow_from_directory(\n", "\t\t\t\t\ttrain_path,\n", " color_mode='grayscale',\n", "\t\t\t\t\ttarget_size=(img_rows,img_cols),\n", "\t\t\t\t\tbatch_size=batch_size,\n", "\t\t\t\t\tclass_mode='categorical',\n", "\t\t\t\t\tshuffle=True)\n", "\n", "validation_generator = validation_datagen.flow_from_directory(\n", "\t\t\t\t\t\t\tvalid_path,\n", "\t\t\t\t\t\t\tcolor_mode='grayscale',\n", "\t\t\t\t\t\t\ttarget_size=(img_rows,img_cols),\n", "\t\t\t\t\t\t\tbatch_size=batch_size,\n", "\t\t\t\t\t\t\tclass_mode='categorical',\n", "\t\t\t\t\t\t\tshuffle=True)\n", "test_generator= ImageDataGenerator(rescale=1./255).flow_from_directory(valid_path, \n", "\t\t\t\t\t\t\tcolor_mode='grayscale',\n", "\t\t\t\t\t\t\ttarget_size=(img_rows,img_cols),\n", "\t\t\t\t\t\t\tbatch_size=batch_size,\n", "\t\t\t\t\t\t\tclass_mode='categorical',\n", "\t\t\t\t\t\t\tshuffle=False)\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ZxusGs-u9Syt", "outputId": "a5255339-a32f-4ce9-e267-2dbe8f598f8c" }, "execution_count": 15, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Found 512 images belonging to 7 classes.\n", "Found 124 images belonging to 7 classes.\n", "Found 124 images belonging to 7 classes.\n" ] } ] }, { "cell_type": "code", "metadata": { "id": "E_VmuzUE6fSq", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "09f9b4f8-d36d-4881-c032-e5cb5505aaa3" }, "source": [ "# model 2 -2.8\n", "img_rows,img_cols=48,48\n", "\n", "\n", "input_layer = Input(shape=(48, 48, 1))\n", "\n", "x = Conv2D(32, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_1_3x3/1')(input_layer)\n", "x=BatchNormalization()(x)\n", "x = Conv2D(32, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_1a_3x3/1')(x)\n", "x=BatchNormalization()(x)\n", "x = MaxPool2D((2, 2), name='max_pool_1_3x3/2')(x)\n", "x=BatchNormalization()(x)\n", "\n", "\n", "#Block 2A\n", "x1 = Conv2D(64, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_2a_3x3/1')(x)\n", "x1=BatchNormalization()(x1)\n", "x12 = Conv2D(64, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_2a1_3x3/1')(x1)\n", "x12=BatchNormalization()(x12)\n", "#Block 2B\n", "y1 = Conv2D(64, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_2b_3x3/1')(x)\n", "y1=BatchNormalization()(y1)\n", "y12 = Conv2D(64, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_2b1_3x3/1')(y1)\n", "y12=BatchNormalization()(y12)\n", "\n", "concat_b2 = concatenate([x, x12, y12], axis=3,name='inception_dense_1')\n", "#trans\n", "t1 = Conv2D(64, (1, 1), padding='same',strides=(1, 1), activation='relu', name='conv_t1_3x3/1')(concat_b2)\n", "t1=BatchNormalization()(t1)\n", "t2 = MaxPool2D((2, 2), name='max_pool_t2_3x3/2')(t1)\n", "t2=BatchNormalization()(t2)\n", "#x=Dropout(0.2)\n", "\n", "#Block 3A\n", "x2 = Conv2D(128, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_3a_3x3/1')(t2)\n", "x2=BatchNormalization()(x2)\n", "x22 = Conv2D(128, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_3a1_3x3/1')(x2)\n", "x22=BatchNormalization()(x22)\n", "#Block 3B\n", "y2 = Conv2D(128, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_3b_3x3/1')(t2)\n", "y2=BatchNormalization()(y2)\n", "y22 = Conv2D(128, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_3b1_3x3/1')(y2)\n", "y22=BatchNormalization()(y22)\n", "\n", "concat_b3 = concatenate([t2, x22, y22], axis=3,name='inception_dense_2')\n", "#trans\n", "t3 = Conv2D(128, (1, 1), padding='same',strides=(1, 1), activation='relu', name='conv_t3_3x3/1')(concat_b3)\n", "t3=BatchNormalization()(t3)\n", "t4 = MaxPool2D((2, 2), name='max_pool_t4_3x3/2')(t3)\n", "t4=BatchNormalization()(t4)\n", "#x=Dropout(0.2)\n", "\n", "\n", "\n", "#Block 4A\n", "x3 = Conv2D(256, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_4a_3x3/1')(t4)\n", "x3=BatchNormalization()(x3)\n", "x32 = Conv2D(256, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_4a1_3x3/1')(x3)\n", "x32=BatchNormalization()(x32)\n", "#Block 4B\n", "y3 = Conv2D(256, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_4b_3x3/1')(t4)\n", "y3=BatchNormalization()(y3)\n", "y32 = Conv2D(256, (3, 3), padding='same',strides=(1, 1), activation='relu', name='conv_4b1_3x3/1')(y3)\n", "y32=BatchNormalization()(y32)\n", "concat_b4 = concatenate([t4, x32, y32], axis=3,name='inception_dense_4')\n", "#trans\n", "t5 = Conv2D(256, (1, 1), padding='same',strides=(1, 1), activation='relu', name='conv_t5_3x3/1')(concat_b4)\n", "t5=BatchNormalization()(t5)\n", "#t6 = MaxPool2D((2, 2), name='max_pool_t6_3x3/2')(t5)\n", "#t6=BatchNormalization()(t6)\n", "#x=Dropout(0.2)\n", "\n", "t8 = GlobalAveragePooling2D(name='avg_pool_5_3x3/1')(t5)\n", "\n", "\n", "# Block-6\n", "\n", "xf=Dense(512,activation='relu')(t8)\n", "xf=BatchNormalization()(xf)\n", "xf=Dropout(0.5)(xf)\n", "\n", "# Block-6\n", "\n", "xf=Dense(256,activation='relu')(xf)\n", "xf=BatchNormalization()(xf)\n", "xf=Dropout(0.5)(xf)\n", "\n", "# Block-7\n", "\n", "xf=Dense(7,activation='softmax')(xf)\n", "#xf=Dense(2,activation='sigmoid')(xf)\n", "model = Model(input_layer, [xf], name='inception_v1')\n", "model.summary()\n" ], "execution_count": 11, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model: \"inception_v1\"\n", "__________________________________________________________________________________________________\n", " Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", " input_2 (InputLayer) [(None, 48, 48, 1)] 0 [] \n", " \n", " conv_1_3x3/1 (Conv2D) (None, 48, 48, 32) 320 ['input_2[0][0]'] \n", " \n", " batch_normalization_22 (BatchN (None, 48, 48, 32) 128 ['conv_1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " conv_1a_3x3/1 (Conv2D) (None, 48, 48, 32) 9248 ['batch_normalization_22[0][0]'] \n", " \n", " batch_normalization_23 (BatchN (None, 48, 48, 32) 128 ['conv_1a_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " max_pool_1_3x3/2 (MaxPooling2D (None, 24, 24, 32) 0 ['batch_normalization_23[0][0]'] \n", " ) \n", " \n", " batch_normalization_24 (BatchN (None, 24, 24, 32) 128 ['max_pool_1_3x3/2[0][0]'] \n", " ormalization) \n", " \n", " conv_2a_3x3/1 (Conv2D) (None, 24, 24, 64) 18496 ['batch_normalization_24[0][0]'] \n", " \n", " conv_2b_3x3/1 (Conv2D) (None, 24, 24, 64) 18496 ['batch_normalization_24[0][0]'] \n", " \n", " batch_normalization_25 (BatchN (None, 24, 24, 64) 256 ['conv_2a_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " batch_normalization_27 (BatchN (None, 24, 24, 64) 256 ['conv_2b_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " conv_2a1_3x3/1 (Conv2D) (None, 24, 24, 64) 36928 ['batch_normalization_25[0][0]'] \n", " \n", " conv_2b1_3x3/1 (Conv2D) (None, 24, 24, 64) 36928 ['batch_normalization_27[0][0]'] \n", " \n", " batch_normalization_26 (BatchN (None, 24, 24, 64) 256 ['conv_2a1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " batch_normalization_28 (BatchN (None, 24, 24, 64) 256 ['conv_2b1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " inception_dense_1 (Concatenate (None, 24, 24, 160) 0 ['batch_normalization_24[0][0]', \n", " ) 'batch_normalization_26[0][0]', \n", " 'batch_normalization_28[0][0]'] \n", " \n", " conv_t1_3x3/1 (Conv2D) (None, 24, 24, 64) 10304 ['inception_dense_1[0][0]'] \n", " \n", " batch_normalization_29 (BatchN (None, 24, 24, 64) 256 ['conv_t1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " max_pool_t2_3x3/2 (MaxPooling2 (None, 12, 12, 64) 0 ['batch_normalization_29[0][0]'] \n", " D) \n", " \n", " batch_normalization_30 (BatchN (None, 12, 12, 64) 256 ['max_pool_t2_3x3/2[0][0]'] \n", " ormalization) \n", " \n", " conv_3a_3x3/1 (Conv2D) (None, 12, 12, 128) 73856 ['batch_normalization_30[0][0]'] \n", " \n", " conv_3b_3x3/1 (Conv2D) (None, 12, 12, 128) 73856 ['batch_normalization_30[0][0]'] \n", " \n", " batch_normalization_31 (BatchN (None, 12, 12, 128) 512 ['conv_3a_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " batch_normalization_33 (BatchN (None, 12, 12, 128) 512 ['conv_3b_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " conv_3a1_3x3/1 (Conv2D) (None, 12, 12, 128) 147584 ['batch_normalization_31[0][0]'] \n", " \n", " conv_3b1_3x3/1 (Conv2D) (None, 12, 12, 128) 147584 ['batch_normalization_33[0][0]'] \n", " \n", " batch_normalization_32 (BatchN (None, 12, 12, 128) 512 ['conv_3a1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " batch_normalization_34 (BatchN (None, 12, 12, 128) 512 ['conv_3b1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " inception_dense_2 (Concatenate (None, 12, 12, 320) 0 ['batch_normalization_30[0][0]', \n", " ) 'batch_normalization_32[0][0]', \n", " 'batch_normalization_34[0][0]'] \n", " \n", " conv_t3_3x3/1 (Conv2D) (None, 12, 12, 128) 41088 ['inception_dense_2[0][0]'] \n", " \n", " batch_normalization_35 (BatchN (None, 12, 12, 128) 512 ['conv_t3_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " max_pool_t4_3x3/2 (MaxPooling2 (None, 6, 6, 128) 0 ['batch_normalization_35[0][0]'] \n", " D) \n", " \n", " batch_normalization_36 (BatchN (None, 6, 6, 128) 512 ['max_pool_t4_3x3/2[0][0]'] \n", " ormalization) \n", " \n", " conv_4a_3x3/1 (Conv2D) (None, 6, 6, 256) 295168 ['batch_normalization_36[0][0]'] \n", " \n", " conv_4b_3x3/1 (Conv2D) (None, 6, 6, 256) 295168 ['batch_normalization_36[0][0]'] \n", " \n", " batch_normalization_37 (BatchN (None, 6, 6, 256) 1024 ['conv_4a_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " batch_normalization_39 (BatchN (None, 6, 6, 256) 1024 ['conv_4b_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " conv_4a1_3x3/1 (Conv2D) (None, 6, 6, 256) 590080 ['batch_normalization_37[0][0]'] \n", " \n", " conv_4b1_3x3/1 (Conv2D) (None, 6, 6, 256) 590080 ['batch_normalization_39[0][0]'] \n", " \n", " batch_normalization_38 (BatchN (None, 6, 6, 256) 1024 ['conv_4a1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " batch_normalization_40 (BatchN (None, 6, 6, 256) 1024 ['conv_4b1_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " inception_dense_4 (Concatenate (None, 6, 6, 640) 0 ['batch_normalization_36[0][0]', \n", " ) 'batch_normalization_38[0][0]', \n", " 'batch_normalization_40[0][0]'] \n", " \n", " conv_t5_3x3/1 (Conv2D) (None, 6, 6, 256) 164096 ['inception_dense_4[0][0]'] \n", " \n", " batch_normalization_41 (BatchN (None, 6, 6, 256) 1024 ['conv_t5_3x3/1[0][0]'] \n", " ormalization) \n", " \n", " avg_pool_5_3x3/1 (GlobalAverag (None, 256) 0 ['batch_normalization_41[0][0]'] \n", " ePooling2D) \n", " \n", " dense_3 (Dense) (None, 512) 131584 ['avg_pool_5_3x3/1[0][0]'] \n", " \n", " batch_normalization_42 (BatchN (None, 512) 2048 ['dense_3[0][0]'] \n", " ormalization) \n", " \n", " dropout_2 (Dropout) (None, 512) 0 ['batch_normalization_42[0][0]'] \n", " \n", " dense_4 (Dense) (None, 256) 131328 ['dropout_2[0][0]'] \n", " \n", " batch_normalization_43 (BatchN (None, 256) 1024 ['dense_4[0][0]'] \n", " ormalization) \n", " \n", " dropout_3 (Dropout) (None, 256) 0 ['batch_normalization_43[0][0]'] \n", " \n", " dense_5 (Dense) (None, 7) 1799 ['dropout_3[0][0]'] \n", " \n", "==================================================================================================\n", "Total params: 2,827,175\n", "Trainable params: 2,820,583\n", "Non-trainable params: 6,592\n", "__________________________________________________________________________________________________\n" ] } ] }, { "cell_type": "code", "metadata": { "id": "v1zaifBX6m_i" }, "source": [ "model.load_weights('/content/drive/My Drive/fer_new_vgg/PeerJ_emo_seed_1.hdf5') " ], "execution_count": 16, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "kxjr2HCmtcUW", "outputId": "45316057-bf8d-4d5e-8702-0bf8533090d5" }, "source": [ "#from keras.optimizers import RMSprop,SGD,Adam\n", "from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau, LearningRateScheduler\n", "import os\n", "#filepath=\"/content/drive/My Drive/fer_new_vgg/fold1_jaffe_epochs:{epoch:03d}-accuracy:{val_accuracy:.4f}.hdf5\"\n", "\n", "filepath=\"/content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\"\n", "checkpoint_dir = os.path.dirname(filepath)\n", "\n", "\n", "checkpoint = ModelCheckpoint(filepath,\n", " monitor='val_accuracy',\n", " mode='max',\n", " save_best_only=True,\n", " verbose=2)\n", "\n", "callbacks = [checkpoint]\n", "\n", "model.compile(loss='categorical_crossentropy',\n", " optimizer = Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-08, decay=0.0),\n", " metrics=['accuracy'])\n", "\n", "epochs=150\n", "\n", "history=model.fit(\n", " train_generator,\n", " steps_per_epoch=train_sample//batch_size+1,\n", " epochs=epochs,\n", " callbacks=callbacks,\n", " validation_data=validation_generator,\n", " validation_steps=valid_sample//batch_size)" ], "execution_count": 17, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/150\n", "5/5 [==============================] - ETA: 0s - loss: 1.6434 - accuracy: 0.5605\n", "Epoch 1: val_accuracy improved from -inf to 0.70161, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 7s 1s/step - loss: 1.6434 - accuracy: 0.5605 - val_loss: 1.4300 - val_accuracy: 0.7016\n", "Epoch 2/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.9803 - accuracy: 0.6875\n", "Epoch 2: val_accuracy improved from 0.70161 to 0.77419, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 512ms/step - loss: 0.9803 - accuracy: 0.6875 - val_loss: 1.2087 - val_accuracy: 0.7742\n", "Epoch 3/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.5766 - accuracy: 0.8301\n", "Epoch 3: val_accuracy improved from 0.77419 to 0.80645, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 509ms/step - loss: 0.5766 - accuracy: 0.8301 - val_loss: 1.1069 - val_accuracy: 0.8065\n", "Epoch 4/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.4035 - accuracy: 0.8555\n", "Epoch 4: val_accuracy did not improve from 0.80645\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.4035 - accuracy: 0.8555 - val_loss: 1.0286 - val_accuracy: 0.8065\n", "Epoch 5/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.3499 - accuracy: 0.9121\n", "Epoch 5: val_accuracy improved from 0.80645 to 0.81452, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 511ms/step - loss: 0.3499 - accuracy: 0.9121 - val_loss: 0.9358 - val_accuracy: 0.8145\n", "Epoch 6/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2917 - accuracy: 0.9160\n", "Epoch 6: val_accuracy improved from 0.81452 to 0.83871, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 581ms/step - loss: 0.2917 - accuracy: 0.9160 - val_loss: 0.7933 - val_accuracy: 0.8387\n", "Epoch 7/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2654 - accuracy: 0.9043\n", "Epoch 7: val_accuracy improved from 0.83871 to 0.85484, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 4s 734ms/step - loss: 0.2654 - accuracy: 0.9043 - val_loss: 0.7433 - val_accuracy: 0.8548\n", "Epoch 8/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2311 - accuracy: 0.9297\n", "Epoch 8: val_accuracy improved from 0.85484 to 0.86290, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 511ms/step - loss: 0.2311 - accuracy: 0.9297 - val_loss: 0.6986 - val_accuracy: 0.8629\n", "Epoch 9/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2305 - accuracy: 0.9355\n", "Epoch 9: val_accuracy improved from 0.86290 to 0.87097, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 512ms/step - loss: 0.2305 - accuracy: 0.9355 - val_loss: 0.6346 - val_accuracy: 0.8710\n", "Epoch 10/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2364 - accuracy: 0.9336\n", "Epoch 10: val_accuracy did not improve from 0.87097\n", "5/5 [==============================] - 2s 413ms/step - loss: 0.2364 - accuracy: 0.9336 - val_loss: 0.5610 - val_accuracy: 0.8629\n", "Epoch 11/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1970 - accuracy: 0.9375\n", "Epoch 11: val_accuracy did not improve from 0.87097\n", "5/5 [==============================] - 2s 415ms/step - loss: 0.1970 - accuracy: 0.9375 - val_loss: 0.5386 - val_accuracy: 0.8468\n", "Epoch 12/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2047 - accuracy: 0.9414\n", "Epoch 12: val_accuracy did not improve from 0.87097\n", "5/5 [==============================] - 2s 507ms/step - loss: 0.2047 - accuracy: 0.9414 - val_loss: 0.5563 - val_accuracy: 0.8387\n", "Epoch 13/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.2008 - accuracy: 0.9395\n", "Epoch 13: val_accuracy did not improve from 0.87097\n", "5/5 [==============================] - 2s 423ms/step - loss: 0.2008 - accuracy: 0.9395 - val_loss: 0.5614 - val_accuracy: 0.8306\n", "Epoch 14/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1642 - accuracy: 0.9492\n", "Epoch 14: val_accuracy did not improve from 0.87097\n", "5/5 [==============================] - 2s 505ms/step - loss: 0.1642 - accuracy: 0.9492 - val_loss: 0.4084 - val_accuracy: 0.8629\n", "Epoch 15/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1271 - accuracy: 0.9677\n", "Epoch 15: val_accuracy improved from 0.87097 to 0.91129, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 564ms/step - loss: 0.1336 - accuracy: 0.9629 - val_loss: 0.3521 - val_accuracy: 0.9113\n", "Epoch 16/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1412 - accuracy: 0.9531\n", "Epoch 16: val_accuracy improved from 0.91129 to 0.91935, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 508ms/step - loss: 0.1412 - accuracy: 0.9531 - val_loss: 0.3046 - val_accuracy: 0.9194\n", "Epoch 17/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1549 - accuracy: 0.9556\n", "Epoch 17: val_accuracy did not improve from 0.91935\n", "5/5 [==============================] - 2s 400ms/step - loss: 0.1506 - accuracy: 0.9570 - val_loss: 0.2847 - val_accuracy: 0.9032\n", "Epoch 18/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1370 - accuracy: 0.9570\n", "Epoch 18: val_accuracy did not improve from 0.91935\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.1370 - accuracy: 0.9570 - val_loss: 0.2892 - val_accuracy: 0.8952\n", "Epoch 19/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1697 - accuracy: 0.9414\n", "Epoch 19: val_accuracy did not improve from 0.91935\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.1697 - accuracy: 0.9414 - val_loss: 0.2821 - val_accuracy: 0.8952\n", "Epoch 20/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1283 - accuracy: 0.9637\n", "Epoch 20: val_accuracy did not improve from 0.91935\n", "5/5 [==============================] - 2s 421ms/step - loss: 0.1260 - accuracy: 0.9648 - val_loss: 0.2667 - val_accuracy: 0.9032\n", "Epoch 21/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1298 - accuracy: 0.9570\n", "Epoch 21: val_accuracy did not improve from 0.91935\n", "5/5 [==============================] - 2s 509ms/step - loss: 0.1298 - accuracy: 0.9570 - val_loss: 0.2257 - val_accuracy: 0.9032\n", "Epoch 22/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0960 - accuracy: 0.9718\n", "Epoch 22: val_accuracy did not improve from 0.91935\n", "5/5 [==============================] - 2s 395ms/step - loss: 0.1049 - accuracy: 0.9688 - val_loss: 0.2019 - val_accuracy: 0.9113\n", "Epoch 23/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1176 - accuracy: 0.9698\n", "Epoch 23: val_accuracy improved from 0.91935 to 0.94355, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 572ms/step - loss: 0.1144 - accuracy: 0.9707 - val_loss: 0.2187 - val_accuracy: 0.9435\n", "Epoch 24/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1162 - accuracy: 0.9590\n", "Epoch 24: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.1162 - accuracy: 0.9590 - val_loss: 0.2481 - val_accuracy: 0.9274\n", "Epoch 25/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1225 - accuracy: 0.9609\n", "Epoch 25: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.1225 - accuracy: 0.9609 - val_loss: 0.2273 - val_accuracy: 0.9113\n", "Epoch 26/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0971 - accuracy: 0.9657\n", "Epoch 26: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 403ms/step - loss: 0.1188 - accuracy: 0.9629 - val_loss: 0.2135 - val_accuracy: 0.9194\n", "Epoch 27/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1118 - accuracy: 0.9668\n", "Epoch 27: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 405ms/step - loss: 0.1118 - accuracy: 0.9668 - val_loss: 0.2397 - val_accuracy: 0.8952\n", "Epoch 28/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1134 - accuracy: 0.9609\n", "Epoch 28: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 3s 632ms/step - loss: 0.1134 - accuracy: 0.9609 - val_loss: 0.2157 - val_accuracy: 0.9194\n", "Epoch 29/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1409 - accuracy: 0.9617\n", "Epoch 29: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.1479 - accuracy: 0.9570 - val_loss: 0.2013 - val_accuracy: 0.9032\n", "Epoch 30/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1071 - accuracy: 0.9688\n", "Epoch 30: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 405ms/step - loss: 0.1071 - accuracy: 0.9688 - val_loss: 0.4119 - val_accuracy: 0.8548\n", "Epoch 31/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1025 - accuracy: 0.9707\n", "Epoch 31: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 510ms/step - loss: 0.1025 - accuracy: 0.9707 - val_loss: 0.5139 - val_accuracy: 0.8629\n", "Epoch 32/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1148 - accuracy: 0.9718\n", "Epoch 32: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 403ms/step - loss: 0.1238 - accuracy: 0.9688 - val_loss: 0.5130 - val_accuracy: 0.8468\n", "Epoch 33/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1014 - accuracy: 0.9688\n", "Epoch 33: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 417ms/step - loss: 0.1014 - accuracy: 0.9688 - val_loss: 0.4786 - val_accuracy: 0.8468\n", "Epoch 34/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1214 - accuracy: 0.9648\n", "Epoch 34: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 417ms/step - loss: 0.1214 - accuracy: 0.9648 - val_loss: 0.4699 - val_accuracy: 0.8548\n", "Epoch 35/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1383 - accuracy: 0.9492\n", "Epoch 35: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 510ms/step - loss: 0.1383 - accuracy: 0.9492 - val_loss: 0.5249 - val_accuracy: 0.8468\n", "Epoch 36/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1329 - accuracy: 0.9512\n", "Epoch 36: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 414ms/step - loss: 0.1329 - accuracy: 0.9512 - val_loss: 0.5095 - val_accuracy: 0.8710\n", "Epoch 37/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0907 - accuracy: 0.9746\n", "Epoch 37: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 422ms/step - loss: 0.0907 - accuracy: 0.9746 - val_loss: 0.4628 - val_accuracy: 0.8790\n", "Epoch 38/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1208 - accuracy: 0.9668\n", "Epoch 38: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.1208 - accuracy: 0.9668 - val_loss: 0.3926 - val_accuracy: 0.8710\n", "Epoch 39/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0998 - accuracy: 0.9727\n", "Epoch 39: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 513ms/step - loss: 0.0998 - accuracy: 0.9727 - val_loss: 0.3783 - val_accuracy: 0.8548\n", "Epoch 40/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1231 - accuracy: 0.9688\n", "Epoch 40: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 413ms/step - loss: 0.1231 - accuracy: 0.9688 - val_loss: 0.2585 - val_accuracy: 0.9032\n", "Epoch 41/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1101 - accuracy: 0.9609\n", "Epoch 41: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 514ms/step - loss: 0.1101 - accuracy: 0.9609 - val_loss: 0.2819 - val_accuracy: 0.8710\n", "Epoch 42/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1022 - accuracy: 0.9648\n", "Epoch 42: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 406ms/step - loss: 0.1022 - accuracy: 0.9648 - val_loss: 0.2897 - val_accuracy: 0.8548\n", "Epoch 43/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1033 - accuracy: 0.9609\n", "Epoch 43: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.1033 - accuracy: 0.9609 - val_loss: 0.3034 - val_accuracy: 0.8387\n", "Epoch 44/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0645 - accuracy: 0.9766\n", "Epoch 44: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 508ms/step - loss: 0.0645 - accuracy: 0.9766 - val_loss: 0.3134 - val_accuracy: 0.8629\n", "Epoch 45/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1027 - accuracy: 0.9688\n", "Epoch 45: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.1027 - accuracy: 0.9688 - val_loss: 0.3400 - val_accuracy: 0.8548\n", "Epoch 46/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0757 - accuracy: 0.9805\n", "Epoch 46: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 519ms/step - loss: 0.0757 - accuracy: 0.9805 - val_loss: 0.3659 - val_accuracy: 0.8548\n", "Epoch 47/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0846 - accuracy: 0.9677\n", "Epoch 47: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.1128 - accuracy: 0.9629 - val_loss: 0.3515 - val_accuracy: 0.8548\n", "Epoch 48/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0946 - accuracy: 0.9718\n", "Epoch 48: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 403ms/step - loss: 0.1008 - accuracy: 0.9707 - val_loss: 0.3558 - val_accuracy: 0.8871\n", "Epoch 49/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0870 - accuracy: 0.9668\n", "Epoch 49: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 505ms/step - loss: 0.0870 - accuracy: 0.9668 - val_loss: 0.4807 - val_accuracy: 0.8548\n", "Epoch 50/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1342 - accuracy: 0.9688\n", "Epoch 50: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.1342 - accuracy: 0.9688 - val_loss: 0.5349 - val_accuracy: 0.8468\n", "Epoch 51/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1556 - accuracy: 0.9453\n", "Epoch 51: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 415ms/step - loss: 0.1556 - accuracy: 0.9453 - val_loss: 0.6416 - val_accuracy: 0.8306\n", "Epoch 52/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1908 - accuracy: 0.9434\n", "Epoch 52: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 508ms/step - loss: 0.1908 - accuracy: 0.9434 - val_loss: 0.5708 - val_accuracy: 0.8306\n", "Epoch 53/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0958 - accuracy: 0.9688\n", "Epoch 53: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 415ms/step - loss: 0.0958 - accuracy: 0.9688 - val_loss: 0.4229 - val_accuracy: 0.8629\n", "Epoch 54/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0942 - accuracy: 0.9718\n", "Epoch 54: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0930 - accuracy: 0.9727 - val_loss: 0.3788 - val_accuracy: 0.8871\n", "Epoch 55/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1178 - accuracy: 0.9648\n", "Epoch 55: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 506ms/step - loss: 0.1178 - accuracy: 0.9648 - val_loss: 0.4153 - val_accuracy: 0.8629\n", "Epoch 56/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0723 - accuracy: 0.9758\n", "Epoch 56: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.0934 - accuracy: 0.9727 - val_loss: 0.4090 - val_accuracy: 0.8871\n", "Epoch 57/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1323 - accuracy: 0.9556\n", "Epoch 57: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 397ms/step - loss: 0.1378 - accuracy: 0.9551 - val_loss: 0.3620 - val_accuracy: 0.8790\n", "Epoch 58/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1175 - accuracy: 0.9688\n", "Epoch 58: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 512ms/step - loss: 0.1175 - accuracy: 0.9688 - val_loss: 0.3438 - val_accuracy: 0.8871\n", "Epoch 59/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1193 - accuracy: 0.9629\n", "Epoch 59: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 3s 615ms/step - loss: 0.1193 - accuracy: 0.9629 - val_loss: 0.3239 - val_accuracy: 0.9032\n", "Epoch 60/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1297 - accuracy: 0.9617\n", "Epoch 60: val_accuracy did not improve from 0.94355\n", "5/5 [==============================] - 2s 405ms/step - loss: 0.1509 - accuracy: 0.9570 - val_loss: 0.2682 - val_accuracy: 0.8952\n", "Epoch 61/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1035 - accuracy: 0.9746\n", "Epoch 61: val_accuracy improved from 0.94355 to 0.95161, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 594ms/step - loss: 0.1035 - accuracy: 0.9746 - val_loss: 0.2111 - val_accuracy: 0.9516\n", "Epoch 62/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1009 - accuracy: 0.9688\n", "Epoch 62: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.1009 - accuracy: 0.9688 - val_loss: 0.2114 - val_accuracy: 0.9274\n", "Epoch 63/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0873 - accuracy: 0.9727\n", "Epoch 63: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 416ms/step - loss: 0.0873 - accuracy: 0.9727 - val_loss: 0.1808 - val_accuracy: 0.9274\n", "Epoch 64/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0778 - accuracy: 0.9798\n", "Epoch 64: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 399ms/step - loss: 0.0771 - accuracy: 0.9805 - val_loss: 0.1866 - val_accuracy: 0.9516\n", "Epoch 65/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0892 - accuracy: 0.9707\n", "Epoch 65: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 3s 609ms/step - loss: 0.0892 - accuracy: 0.9707 - val_loss: 0.2228 - val_accuracy: 0.9435\n", "Epoch 66/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1114 - accuracy: 0.9707\n", "Epoch 66: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 3s 466ms/step - loss: 0.1114 - accuracy: 0.9707 - val_loss: 0.2942 - val_accuracy: 0.8952\n", "Epoch 67/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0946 - accuracy: 0.9688\n", "Epoch 67: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.0946 - accuracy: 0.9688 - val_loss: 0.3984 - val_accuracy: 0.8871\n", "Epoch 68/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1094 - accuracy: 0.9688\n", "Epoch 68: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 414ms/step - loss: 0.1094 - accuracy: 0.9688 - val_loss: 0.5341 - val_accuracy: 0.8468\n", "Epoch 69/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1377 - accuracy: 0.9609\n", "Epoch 69: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 494ms/step - loss: 0.1377 - accuracy: 0.9609 - val_loss: 0.6108 - val_accuracy: 0.8387\n", "Epoch 70/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1526 - accuracy: 0.9551\n", "Epoch 70: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 402ms/step - loss: 0.1526 - accuracy: 0.9551 - val_loss: 0.3480 - val_accuracy: 0.9355\n", "Epoch 71/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0935 - accuracy: 0.9727\n", "Epoch 71: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0935 - accuracy: 0.9727 - val_loss: 0.3314 - val_accuracy: 0.9355\n", "Epoch 72/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0877 - accuracy: 0.9758\n", "Epoch 72: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 396ms/step - loss: 0.1079 - accuracy: 0.9727 - val_loss: 0.3549 - val_accuracy: 0.9113\n", "Epoch 73/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.1046 - accuracy: 0.9738\n", "Epoch 73: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 395ms/step - loss: 0.1212 - accuracy: 0.9688 - val_loss: 0.3783 - val_accuracy: 0.9032\n", "Epoch 74/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0677 - accuracy: 0.9766\n", "Epoch 74: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 405ms/step - loss: 0.0677 - accuracy: 0.9766 - val_loss: 0.3814 - val_accuracy: 0.8790\n", "Epoch 75/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1128 - accuracy: 0.9648\n", "Epoch 75: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 400ms/step - loss: 0.1128 - accuracy: 0.9648 - val_loss: 0.3574 - val_accuracy: 0.9194\n", "Epoch 76/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1082 - accuracy: 0.9648\n", "Epoch 76: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 404ms/step - loss: 0.1082 - accuracy: 0.9648 - val_loss: 0.3333 - val_accuracy: 0.9274\n", "Epoch 77/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0988 - accuracy: 0.9637\n", "Epoch 77: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 396ms/step - loss: 0.1089 - accuracy: 0.9590 - val_loss: 0.3442 - val_accuracy: 0.9194\n", "Epoch 78/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0704 - accuracy: 0.9766\n", "Epoch 78: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 413ms/step - loss: 0.0704 - accuracy: 0.9766 - val_loss: 0.3936 - val_accuracy: 0.8952\n", "Epoch 79/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0832 - accuracy: 0.9824\n", "Epoch 79: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 415ms/step - loss: 0.0832 - accuracy: 0.9824 - val_loss: 0.3824 - val_accuracy: 0.8871\n", "Epoch 80/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0723 - accuracy: 0.9819\n", "Epoch 80: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0918 - accuracy: 0.9785 - val_loss: 0.3465 - val_accuracy: 0.9032\n", "Epoch 81/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0789 - accuracy: 0.9707\n", "Epoch 81: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.0789 - accuracy: 0.9707 - val_loss: 0.2922 - val_accuracy: 0.8952\n", "Epoch 82/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0567 - accuracy: 0.9844\n", "Epoch 82: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0567 - accuracy: 0.9844 - val_loss: 0.3577 - val_accuracy: 0.8629\n", "Epoch 83/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0704 - accuracy: 0.9758\n", "Epoch 83: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 397ms/step - loss: 0.0690 - accuracy: 0.9766 - val_loss: 0.3814 - val_accuracy: 0.8790\n", "Epoch 84/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1050 - accuracy: 0.9727\n", "Epoch 84: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 408ms/step - loss: 0.1050 - accuracy: 0.9727 - val_loss: 0.3388 - val_accuracy: 0.8790\n", "Epoch 85/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0537 - accuracy: 0.9902\n", "Epoch 85: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0537 - accuracy: 0.9902 - val_loss: 0.2509 - val_accuracy: 0.9032\n", "Epoch 86/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0506 - accuracy: 0.9863\n", "Epoch 86: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0506 - accuracy: 0.9863 - val_loss: 0.2230 - val_accuracy: 0.9355\n", "Epoch 87/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0719 - accuracy: 0.9805\n", "Epoch 87: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 521ms/step - loss: 0.0719 - accuracy: 0.9805 - val_loss: 0.2253 - val_accuracy: 0.9355\n", "Epoch 88/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0647 - accuracy: 0.9785\n", "Epoch 88: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 415ms/step - loss: 0.0647 - accuracy: 0.9785 - val_loss: 0.1996 - val_accuracy: 0.9516\n", "Epoch 89/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0483 - accuracy: 0.9839\n", "Epoch 89: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.0495 - accuracy: 0.9844 - val_loss: 0.1980 - val_accuracy: 0.9516\n", "Epoch 90/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0596 - accuracy: 0.9824\n", "Epoch 90: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 408ms/step - loss: 0.0596 - accuracy: 0.9824 - val_loss: 0.2138 - val_accuracy: 0.9516\n", "Epoch 91/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0754 - accuracy: 0.9688\n", "Epoch 91: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 416ms/step - loss: 0.0754 - accuracy: 0.9688 - val_loss: 0.2349 - val_accuracy: 0.9194\n", "Epoch 92/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0612 - accuracy: 0.9824\n", "Epoch 92: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 512ms/step - loss: 0.0612 - accuracy: 0.9824 - val_loss: 0.2339 - val_accuracy: 0.9032\n", "Epoch 93/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0803 - accuracy: 0.9688\n", "Epoch 93: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 513ms/step - loss: 0.0803 - accuracy: 0.9688 - val_loss: 0.2251 - val_accuracy: 0.9113\n", "Epoch 94/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0908 - accuracy: 0.9668\n", "Epoch 94: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.0908 - accuracy: 0.9668 - val_loss: 0.2357 - val_accuracy: 0.9113\n", "Epoch 95/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0529 - accuracy: 0.9863\n", "Epoch 95: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 513ms/step - loss: 0.0529 - accuracy: 0.9863 - val_loss: 0.2464 - val_accuracy: 0.9113\n", "Epoch 96/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0755 - accuracy: 0.9766\n", "Epoch 96: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0755 - accuracy: 0.9766 - val_loss: 0.2455 - val_accuracy: 0.8952\n", "Epoch 97/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0370 - accuracy: 0.9902\n", "Epoch 97: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 417ms/step - loss: 0.0370 - accuracy: 0.9902 - val_loss: 0.2591 - val_accuracy: 0.8952\n", "Epoch 98/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0451 - accuracy: 0.9899\n", "Epoch 98: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.0438 - accuracy: 0.9902 - val_loss: 0.2594 - val_accuracy: 0.9113\n", "Epoch 99/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0478 - accuracy: 0.9902\n", "Epoch 99: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.0478 - accuracy: 0.9902 - val_loss: 0.2605 - val_accuracy: 0.9113\n", "Epoch 100/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0667 - accuracy: 0.9805\n", "Epoch 100: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 511ms/step - loss: 0.0667 - accuracy: 0.9805 - val_loss: 0.2865 - val_accuracy: 0.9032\n", "Epoch 101/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0524 - accuracy: 0.9778\n", "Epoch 101: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 399ms/step - loss: 0.0593 - accuracy: 0.9766 - val_loss: 0.3244 - val_accuracy: 0.8871\n", "Epoch 102/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0324 - accuracy: 0.9883\n", "Epoch 102: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.0324 - accuracy: 0.9883 - val_loss: 0.3649 - val_accuracy: 0.8952\n", "Epoch 103/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0730 - accuracy: 0.9766\n", "Epoch 103: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 508ms/step - loss: 0.0730 - accuracy: 0.9766 - val_loss: 0.4299 - val_accuracy: 0.8871\n", "Epoch 104/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0451 - accuracy: 0.9863\n", "Epoch 104: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 417ms/step - loss: 0.0451 - accuracy: 0.9863 - val_loss: 0.4629 - val_accuracy: 0.8468\n", "Epoch 105/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0348 - accuracy: 0.9879\n", "Epoch 105: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 400ms/step - loss: 0.0398 - accuracy: 0.9844 - val_loss: 0.5215 - val_accuracy: 0.8306\n", "Epoch 106/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0504 - accuracy: 0.9766\n", "Epoch 106: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 505ms/step - loss: 0.0504 - accuracy: 0.9766 - val_loss: 0.5869 - val_accuracy: 0.8387\n", "Epoch 107/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0811 - accuracy: 0.9766\n", "Epoch 107: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 514ms/step - loss: 0.0811 - accuracy: 0.9766 - val_loss: 0.5326 - val_accuracy: 0.8548\n", "Epoch 108/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0810 - accuracy: 0.9707\n", "Epoch 108: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 515ms/step - loss: 0.0810 - accuracy: 0.9707 - val_loss: 0.4765 - val_accuracy: 0.8548\n", "Epoch 109/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0711 - accuracy: 0.9785\n", "Epoch 109: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 511ms/step - loss: 0.0711 - accuracy: 0.9785 - val_loss: 0.3859 - val_accuracy: 0.9032\n", "Epoch 110/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.1256 - accuracy: 0.9629\n", "Epoch 110: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.1256 - accuracy: 0.9629 - val_loss: 0.4192 - val_accuracy: 0.8952\n", "Epoch 111/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0780 - accuracy: 0.9766\n", "Epoch 111: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.0780 - accuracy: 0.9766 - val_loss: 0.5147 - val_accuracy: 0.8468\n", "Epoch 112/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0533 - accuracy: 0.9844\n", "Epoch 112: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 413ms/step - loss: 0.0533 - accuracy: 0.9844 - val_loss: 0.5828 - val_accuracy: 0.8145\n", "Epoch 113/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0638 - accuracy: 0.9738\n", "Epoch 113: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 405ms/step - loss: 0.0621 - accuracy: 0.9746 - val_loss: 0.6222 - val_accuracy: 0.8306\n", "Epoch 114/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0748 - accuracy: 0.9746\n", "Epoch 114: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 408ms/step - loss: 0.0748 - accuracy: 0.9746 - val_loss: 0.4778 - val_accuracy: 0.8790\n", "Epoch 115/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0623 - accuracy: 0.9839\n", "Epoch 115: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0620 - accuracy: 0.9824 - val_loss: 0.4508 - val_accuracy: 0.8710\n", "Epoch 116/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0387 - accuracy: 0.9863\n", "Epoch 116: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.0387 - accuracy: 0.9863 - val_loss: 0.4317 - val_accuracy: 0.8710\n", "Epoch 117/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0502 - accuracy: 0.9863\n", "Epoch 117: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 506ms/step - loss: 0.0502 - accuracy: 0.9863 - val_loss: 0.4655 - val_accuracy: 0.8871\n", "Epoch 118/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0744 - accuracy: 0.9727\n", "Epoch 118: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0744 - accuracy: 0.9727 - val_loss: 0.5043 - val_accuracy: 0.8710\n", "Epoch 119/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0483 - accuracy: 0.9902\n", "Epoch 119: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0483 - accuracy: 0.9902 - val_loss: 0.5391 - val_accuracy: 0.8710\n", "Epoch 120/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0805 - accuracy: 0.9785\n", "Epoch 120: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.0805 - accuracy: 0.9785 - val_loss: 0.5812 - val_accuracy: 0.8468\n", "Epoch 121/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0667 - accuracy: 0.9785\n", "Epoch 121: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 512ms/step - loss: 0.0667 - accuracy: 0.9785 - val_loss: 0.5421 - val_accuracy: 0.8387\n", "Epoch 122/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0773 - accuracy: 0.9727\n", "Epoch 122: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0773 - accuracy: 0.9727 - val_loss: 0.5447 - val_accuracy: 0.8468\n", "Epoch 123/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0677 - accuracy: 0.9746\n", "Epoch 123: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.0677 - accuracy: 0.9746 - val_loss: 0.5565 - val_accuracy: 0.8629\n", "Epoch 124/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0568 - accuracy: 0.9805\n", "Epoch 124: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 444ms/step - loss: 0.0568 - accuracy: 0.9805 - val_loss: 0.5181 - val_accuracy: 0.8629\n", "Epoch 125/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0688 - accuracy: 0.9785\n", "Epoch 125: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 3s 727ms/step - loss: 0.0688 - accuracy: 0.9785 - val_loss: 0.4341 - val_accuracy: 0.8790\n", "Epoch 126/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0696 - accuracy: 0.9727\n", "Epoch 126: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.0696 - accuracy: 0.9727 - val_loss: 0.3215 - val_accuracy: 0.8871\n", "Epoch 127/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0489 - accuracy: 0.9805\n", "Epoch 127: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 405ms/step - loss: 0.0489 - accuracy: 0.9805 - val_loss: 0.2452 - val_accuracy: 0.9274\n", "Epoch 128/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0328 - accuracy: 0.9922\n", "Epoch 128: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0328 - accuracy: 0.9922 - val_loss: 0.2080 - val_accuracy: 0.9516\n", "Epoch 129/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0439 - accuracy: 0.9879\n", "Epoch 129: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0427 - accuracy: 0.9883 - val_loss: 0.1916 - val_accuracy: 0.9516\n", "Epoch 130/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0584 - accuracy: 0.9883\n", "Epoch 130: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 403ms/step - loss: 0.0584 - accuracy: 0.9883 - val_loss: 0.1675 - val_accuracy: 0.9355\n", "Epoch 131/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0335 - accuracy: 0.9899\n", "Epoch 131: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 397ms/step - loss: 0.0371 - accuracy: 0.9863 - val_loss: 0.1726 - val_accuracy: 0.9274\n", "Epoch 132/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0621 - accuracy: 0.9883\n", "Epoch 132: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 415ms/step - loss: 0.0621 - accuracy: 0.9883 - val_loss: 0.1809 - val_accuracy: 0.9194\n", "Epoch 133/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0443 - accuracy: 0.9863\n", "Epoch 133: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.0443 - accuracy: 0.9863 - val_loss: 0.1615 - val_accuracy: 0.9355\n", "Epoch 134/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0344 - accuracy: 0.9879\n", "Epoch 134: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 402ms/step - loss: 0.0341 - accuracy: 0.9883 - val_loss: 0.1542 - val_accuracy: 0.9355\n", "Epoch 135/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0481 - accuracy: 0.9844\n", "Epoch 135: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 404ms/step - loss: 0.0481 - accuracy: 0.9844 - val_loss: 0.1741 - val_accuracy: 0.9355\n", "Epoch 136/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0588 - accuracy: 0.9805\n", "Epoch 136: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 514ms/step - loss: 0.0588 - accuracy: 0.9805 - val_loss: 0.2258 - val_accuracy: 0.9194\n", "Epoch 137/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0235 - accuracy: 0.9980\n", "Epoch 137: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.0235 - accuracy: 0.9980 - val_loss: 0.2691 - val_accuracy: 0.9113\n", "Epoch 138/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0690 - accuracy: 0.9805\n", "Epoch 138: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 512ms/step - loss: 0.0690 - accuracy: 0.9805 - val_loss: 0.2864 - val_accuracy: 0.9355\n", "Epoch 139/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0729 - accuracy: 0.9718\n", "Epoch 139: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 391ms/step - loss: 0.0721 - accuracy: 0.9727 - val_loss: 0.2665 - val_accuracy: 0.9516\n", "Epoch 140/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0694 - accuracy: 0.9805\n", "Epoch 140: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 409ms/step - loss: 0.0694 - accuracy: 0.9805 - val_loss: 0.2753 - val_accuracy: 0.9194\n", "Epoch 141/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0368 - accuracy: 0.9883\n", "Epoch 141: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.0368 - accuracy: 0.9883 - val_loss: 0.3241 - val_accuracy: 0.8871\n", "Epoch 142/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0446 - accuracy: 0.9824\n", "Epoch 142: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 404ms/step - loss: 0.0446 - accuracy: 0.9824 - val_loss: 0.3037 - val_accuracy: 0.9113\n", "Epoch 143/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0380 - accuracy: 0.9863\n", "Epoch 143: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 407ms/step - loss: 0.0380 - accuracy: 0.9863 - val_loss: 0.2577 - val_accuracy: 0.9355\n", "Epoch 144/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0579 - accuracy: 0.9805\n", "Epoch 144: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 410ms/step - loss: 0.0579 - accuracy: 0.9805 - val_loss: 0.2582 - val_accuracy: 0.9435\n", "Epoch 145/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0637 - accuracy: 0.9819\n", "Epoch 145: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 400ms/step - loss: 0.0621 - accuracy: 0.9824 - val_loss: 0.2549 - val_accuracy: 0.9355\n", "Epoch 146/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0325 - accuracy: 0.9922\n", "Epoch 146: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 401ms/step - loss: 0.0325 - accuracy: 0.9922 - val_loss: 0.2508 - val_accuracy: 0.9355\n", "Epoch 147/150\n", "4/5 [=======================>......] - ETA: 0s - loss: 0.0491 - accuracy: 0.9839\n", "Epoch 147: val_accuracy did not improve from 0.95161\n", "5/5 [==============================] - 2s 400ms/step - loss: 0.0583 - accuracy: 0.9824 - val_loss: 0.2581 - val_accuracy: 0.9435\n", "Epoch 148/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0640 - accuracy: 0.9727\n", "Epoch 148: val_accuracy improved from 0.95161 to 0.95968, saving model to /content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5\n", "5/5 [==============================] - 3s 595ms/step - loss: 0.0640 - accuracy: 0.9727 - val_loss: 0.2384 - val_accuracy: 0.9597\n", "Epoch 149/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0417 - accuracy: 0.9863\n", "Epoch 149: val_accuracy did not improve from 0.95968\n", "5/5 [==============================] - 2s 411ms/step - loss: 0.0417 - accuracy: 0.9863 - val_loss: 0.2048 - val_accuracy: 0.9516\n", "Epoch 150/150\n", "5/5 [==============================] - ETA: 0s - loss: 0.0372 - accuracy: 0.9902\n", "Epoch 150: val_accuracy did not improve from 0.95968\n", "5/5 [==============================] - 2s 412ms/step - loss: 0.0372 - accuracy: 0.9902 - val_loss: 0.1971 - val_accuracy: 0.9516\n" ] } ] }, { "cell_type": "code", "source": [ "from google.colab import files\n", "loss_train = history.history['accuracy']\n", "loss_val = history.history['val_accuracy']\n", "epochs = range(1,151)\n", "plt.figure(figsize=(8,6))\n", "plt.rcParams['font.size'] = 18\n", "plt.plot(epochs, loss_train, 'g--', label='Training accuracy')\n", "plt.plot(epochs, loss_val, 'b', label='validation accuracy')\n", "#plt.title('Training and Validation accuracy')\n", "plt.xlabel('Epochs',fontsize=18)\n", "plt.ylabel('Accuracy',fontsize=18)\n", "plt.legend()\n", "plt.savefig('acc_ck+_2013.png')\n", "files.download(\"acc_ck+_2013.png\")\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 404 }, "id": "3UC2U6DxutSe", "outputId": "d1768c18-833a-4d64-8206-652354597f48" }, "execution_count": 18, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_01922406-cb91-4823-8a24-911b1256a739\", \"acc_ck+_2013.png\", 41422)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
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3xY/e2fGOYdv2M9tp4cGFVb5fQerlVAr4KMBkzZ6I6J+L/xCiQN2+6qYq4MTA1e2rbvR///s/Gr5qOCXnJpsc88X+LwhRMAmlzCvOo3Ebx9G5S+cM2/Ym7aVeC3vR+dzzJudXJRzXxKyhH+N+VN238OBCmrlnpkFYbTm5xWS/sMSI8wtKC+jBtQ+S3xQ/OpxymPR6PQ1aNojafd5Oc/8Ce3l8/eNU76N6lJKXQt8c+8biM9KCp35+ir79+1uarJtMSpRiIbC0RgoDKQyuOk5lnaJ/0/7VpC0x2xFOV+vj1xOiQAOWDCCfyT6q5ldPoKisiH458YuF2bu0vJRC54bS8FXDqaisiJpPb04PrHnApX3ZdnobIQrkN8WvymPLK8rpj3N/0IHzB0y2i5jxNp+1ocLSQuo4uyON+H6Exfm6czqDBeGnuJ806f/OszsN7f3nx/9Q8+nNTWaLIi6+utfbfmY7PfXzUyYDoF6vp5c2v0S/nPjF6nlTo6fSwKUDaeDSgbTg4AKTfdmF2QZxsfzocsN2YQ6PTog2bDuddZoQBXrkh0do0aFFNDV6qs1YfMGgZYMIUaBP//zU6jFFZUUUPj+ceizoYRAa8Rnx1PiTxjRk+RCT72lWYRa1+awN9VjQg3458QshCg6JLK05nXWafCf70vhN4+maL66hXgt72fSHqA79l/Sn/kv6u6RtY6QwkMLgqqPJJ00IUbC4qTnqzKPX62ncxnGGZChERKPXjaYWM1oYblhaz7a1cmicu38uIQo0ffd0k+1LDy8lRMHg7f7Gtjeo4ccNqzR32kNOUQ5lFGSYJODR6/XUb3E/QhTojW1vVOuGKgbosRvGEqJAiw8tNtmfV5xHzaY3I/8p/oQoGBz6nGVNzBp6ZcsrdOD8ARq1dhTlFefRqn9WEaJAe5P2Go5Ly0+jZUeW2TTn1zSJOYkUlx5H9T6qRz/E/kBBM4JMLB2P/fQYNZvezOL7NuL7EQYxjCjQR9EfVXktEY1Q1YB2POM4peWn0fnc8/TE+ifId7IvNfmkiYnviEB3TkcHLxykW7+5lULmhDi0JOMKXtv6Gk34dQKN+XGMTZFWHc5mn60xvx8pDKQwuKowzhpnvASw6cQmajmzpVMmuk///JQQBdp+ZjvVn1afntv0HOUU5dDgrwfT9jPbNev3xG0TqcWMFhYm36OpRx1uT2T7C/gogE5kniAivjEHzwym/kv6G2Zt6fnpmjk9Df1mKCEKVH9afdp0YhMRkWH2vuzIMrvaWBe7zmaY1tBvhpL/FH/ymexjYfImYvFQf1p96jK3i3NvwoioP6JIiVJMBvyswizynexrEfLoSew8u5P8pvhR2Pwwg+PcQ+seoraftSW9Xk/lFeXUYkYLGvPjGItzyyrK6ELeBbqQd4FSL6fa5X9yJOUIIQomzpq2uJB3gQI/DaQJv06o0nchpyjH5evtnsJ/fvwPIQp0OOWwy68lhYEUBi4hNj2Wnt34rIUXb3XQ6/W08+xOGvPjGJq1Z5ZdnszmFJcV0xPrnyBEgQI/DaT8knxKz0+nljNbUucvOjs0Y03MSaSyijLKL8mnMT+OoQ92fkCIAunO6VSP//LAlzRt1zSnnPl2nNlhEDRjN4w1bP8o+iNSohQ6lXXKofYul1ymrae2UuCngTRw6UCKSYuh4JnB1HJmS4pJi7E4fn38ehqyfAgNWT6Exm8aT6ezTjv8HtbHr6d5B+ZR38V9yX+KP/0U9xMdvHCQHvvpMSqrKKPS8lIT07Uanb/obMgDoIYws18qumT1mOMZx1Xfo6McvHCQEAVDml3BR9EfmfhL/BD7g+qs112UlJcYoiKEgFl2ZBkN/nowXSq6ZFj60PK3u/nkZod+r4WlhZpdu7aQX5JvENSuRgoDKQw0JSkniR5c+yApUYrBS1srr/bnNj1HiAI1+rgRIQrUfHpzQyx5XnFelaFfxsSlx9G+5H2k1+vp/tX3U52pdQx+B4sOLaLP935eZRvdv+pOw1cNN7x+ecvL1OazNibm16KyIqrQVxjCuhAFem7TcwYBkno5lX6M+9Gu/9HOszvplS2vkO9kXzqVdYouFV2ipp82pSHLh9DG4xtNcg6kXk6lbae3Vdnm2pi19NVfX1FWYRYNXzWc4jPiVY9bH7+eIldE0pDlQ6ju1LrkM9mHXt7ysqHfW05usboUs+DgAvpw54eG1zlFOXTj0hvJb4qfyYA5e99sQhToZOZJ1XYuXr5okZTInVToKwxizdhJT1BcVkx5xXmkRCk0WTe55jtog/iMeBq3cZyqgPox7kdqPas1ZRVmuaFnEk9ACgMpDDRl9LrRFPBRAL33+3u07MgyenfHu5qp/x1ndtD8v+ZTUVkR7U3aS3d9d5dhve3cpXOEKND8v+bbbKOgtMBkEBae92Kw0ev1BmETlx5ntR2ROc94OUJsF2w+uZn8p/jTPxf/oTe2vUF1p9al8ZvGE6Jg8FBvMaOFaqIdQWZBJu1K2GVYlxfe6dN3TzdYKETI2sELBw3nibVgNXGwO3E3fbDzA6ez4qXkpdDEbRMNa8bFZcXUc2FPQ0SAOTcuvZFuWnaTyba84jwLz+2knCTVGbhAOHZai/d2B0/9/BSFzAmx2H6p6BIFzwym4auGq3rbeypC3HlaiKqkZpHCQAoDTckpyqH9yfsdOudE5gmbTnW5xblW94tZcmFpId2z6h5CFGzO9p/Z8Ax1/qIzEfGMr/+S/tR1XleT9tPz06nhxw3poXUPWW1HeG3beq9nss8QokALDi6g0vJS2pu0l/R6Pc3aM8swU17972qTMDtz1sWuI0TBZB01MSeRMgoyqOHHDWnU2lGUnJtMiIKhEp9erzdkUpu1Z5ZFm29se4PqTK2jGpftCOJ/r9fracCSAYaIAGOKyoqoztQ69NZvb9nV5uCvB1P4/HDVfaLf7gpLU8NacqC0/DQau2Es+U3xI5/JPh7leGiNqdFTqdWsVi7zqJd4D7aEgSyiJLEKEWHshrHYeW6nyfYm9ZpgQLsBhtdlFWXYdnobKvQVqu3sP78f/Zb0w7u/v4tyfTlOZJ6wOOb9ne8jdF4oyvXlFvv8ff0BcA37Hx76ASOvH4nXf3sdy44sU71eTEYM2jdpDwDwUXww78552Dd2H3x9fA3HBDUIwoQBE7A2dq2hoE7K5RSMWjcKW09vBQDsPLcTjeo0Qp82faz+jzo17YTgBsGIToyGv68/bmx/IxRFwcRBE9EpsBMA4KHwh9C4bmPEpMeothGfEQ+AK8UJOjTpgMMph+Gj+GBy5GS0a9wOHZp0wN7zXOTl2MVjyC7KxsK7F2LioIkWbe5J3oO+bfpa1Jp3FPG/VxQFn9z6CVIup2DR4UUmxxxOOYzSilJD4ZmqeDj8YcRmxOLFzS9a7DuWdgx92/RFPb961eq3liiKolodsWWDllh671Kcfvk0op+MRlCDIDf0zjHaNW6Hi/kX4TvFF2n5ae7ujsRDkcLgKuFU1insStzl0Dnn887j62Nf44XNLxgG7P9u/y++OfaNyXHrj6/HHd/dgd1Ju022ExE2n9yMYf8bhqD6QXix/4sYv2k8hqwYgoyCDMNxFfoKrItbh16telmtYiao41sHqx9cjV6temHJkSUW+4kIMekx6BbUzbCtf9v+CAwItDj29RtfR5O6TTBJNwnJucmIWBGBH+J+wL3f34sNxzfgj4Q/EBESYbNPiqIYKuCJymxqx3Rr2Q2xGbGq++Mz49GxSUc0qNPAZPvtobcj5fUUXB90PQDgpvY3YU/SHhARDlw4AAVcthVgEbP55GYAQHF5MQ6nHsZN7W+y2m9nuKXTLRjaaSg+2f0JCkoLDNv3JO8BANzY/ka72hnTfQweDHsQjes2BgDEpMfgq4NfAQC2/mcr1o9er2m/XU3Hph0xuMNgd3fDLm4JucXwd8sGLd3YE4knI4XBVUL/pf0RsSICOcU5dp8jZrgnsk5g1b+rkF2Ujdn7Z1vMfO/ucjfq+9c3KQ/7b9q/GPT1IAz/fjjaN26PXU/tQocmHfDqwFeRU5yD5zY/x2tZAHYl7sLF/IuGGutV4efjh0kRk/D6ja9b7EvKTUJ+aT66teymcqYpgQGB+PKuL/HKgFcwSTcJ6QXp2DJmC3q37o03tr+BuXfMxds3vV1lO28PfhuN6jRC1+ZdrR7z2A2P4a4ud6nuO555HNe1uE51n7FYGNR+EC5cvoCk3CQ81/c5pE5MRXDDYBAR3vn9HTzx8xO4mH/R4Rm8I0y9ZSrSC9Kx4URlmePSilIMaDvA7oEmMCAQ60atwye3fQIA+OrgV3hpy0vYnbQbvj6+csByIR2bdkTX5l3xcv+XVa0gEgkA6WNAV4GPgV6vp76L+zqcazwpJ4kWHVpEfRf3pU///NSQGMfYAU4wet1oaj69ucExLzk3ma6ddy0tOLjAYp17+u7phCgYvLjHbxpPDaY1cCo00RyRdMiao581CkoL6J+L/xAR+zuoeaDbwllHrgp9BQV8FEATfp1Q5bFp+WkUkxajuj4clx5HdafWpXtW3UPf//s9Nfq4UbWT+1hDLX1wdcgrzqNOczoRokCP/vSoSyvKSSSeTFkZUWxszVwL0vnw6hYGgv5L+tP1X17v8CAmBqJhK4dZLbgjvMlvWXGLYZu165RXlBuS70zbNY2aT29Oj/zwiEN9IiKKSYuxKCoTmx5L7+54t9o16l1BbnGuRb8q9BW0N2mv1RBCNdbGrKUR34+g7MJsk+0iFHDZkWU1Ug76VNYpzTzbdyXsMoQFSiRXKwsX8qi83zHfbqeQwuAqFwYXL18kvV5vKFYivN+Lyopo3oF5VouBbD211eBZL0L3rHmel5SX0Ku/vkrf/fOdXYNFhb6C3vztTYpJi6HfTv/mVKavW1bcQj0X9nT4PHeQWZBJiALN3je7Wu38dvo3QhRUPcsr9BUUuSKSWsxo4fLyrYdTDpP/FH8a+s1QCpsfplqX3lEWHVpkKLEskVyNjBzJo/Kdd7r+WraEgfQxqOUQEXot6oUXNr+Ah8IfwvEXj6NX614oKivCiNUj8PKvL2Nd3DoAQFFZEQrLCgGwQ+B9a+7Dl399CQBIvZyKlg1aYmzvsarXqeNbB3PumIMx3cfYtXbpo/hgxrAZCG8ZjmGdh6F3694Ov7ehnYbi2MVjyCrMMmz7J+0fXC657HBbrqZ5/eZo2aClhX/GvuR9+P7f76EnvV3tiAiRIR2HwEcx/fn6KD5YMWIF+rXph8zCTG06boWerXpiSMch2HluJ1Iup2jiF/Bsn2cxpvsYDXonkXgfREB0NNCwIfDrr8Bff7mvL1IY1HKOXjyK1PxUDGw3EAH+AejaoisKSgtw96q7sf3Mdiy7dxlWjVyFxJxENJ3e1OBAeC7nHIrLiw1OfD1a9UDaG2kmIXXuZminoQAAXYIOAIuZ/kv6Y3L0ZDf2yjrhQeEWwmDFsRV46deXoMA+R7B+bfsBAIZdM0x1f8emHbHlP1vQtYV1R0gt8FF8sHzEcjSu2xiDOwy2ECkSicQx4uKAzExg2jSgeXNgshtvY/LXXMvZfHIzFCi4s8udAIByfTm6ftkVfyT8gZX3r8TTvZ6Gj+KDDk06ILBeIP5I+ANAZUSCPd797qJfm35o4N/A0Oczl86gpKLEY/ssQhbZisccz+KIBHs9xO+/7n7seXoPxvZSt9zUJO2btMfBcQexePhid3dFIvF6dDp+vuce4I03gC1b3Gc1kMKglrP51Gb0a9vPYOr18/HD24PfxuYxm/HoDY8ajlMUBbd0ugU7z+0EERmEQVhQmFv6bQ/+vv4Y0nGIwWIg8jR0b9ndjb2yTreW3ZBfmo+k3CTDtviMeFzf4nq721AUBYPaD7JLSJw5A9x/P5Cfr74/Lw8YPhyIVU+vYBfXNr8WrRu1dr4BD+CDD4AePSwft94KFBRUfb6k5pk4sfJz6tcP+Oefmrnua68BP/7omrZ1OqBDByAkBHjxRaBZMxYJ4n3OnOma66ohhUEtJr0gHX9d+At3d7nbZPtL/V9SjakfGjIUKZdTcDLrJGLSY3BN4DUWSXc8jS/v+pJn0BvGYtymcejYpKPHipmhnYZiwd0L0KhuIwBAVmEWMgozrOYwqC46HfDzz68M2wAAACAASURBVMCBA+r79+0DNm8G3nnHJZf3CsrKgNmzgdJS4JprKh+NGgE7dwIx6skqJW5ErwcWLABKSvizOnYMWL266vOqS1YWMGcO8P332rct/AsiIgBF4e/fokXAoEGV38nmzbW/rjVsp5mTeDWN6jTCulHr0LNVT7uOF2v2O8/txKz/m4XUy6mu7J4mXBN4DQDg5o4349rm1+KFfi8gwD/Azb1SJ7RZKEKbhRpeH888DgAOWQwcITubn+PiePZrjrAUbNoEHD4M9LGe+bnWcvgwWwWmTgUefLBye0wM0L07kJAADBhg9XSJG0hIAIqKgDffBMaO5cFTmOFdya5dldfXmvh4ICMDiIys3Pbgg6bfyZpECoNaTIB/AEaGjbT7+GsCr8Gc2+dgaKehaNe4Hdo1bufC3mnLkz2fdHcX7OJ09mlkF2Wjf9v+uLH9jUiakIRmAc1cci0hDKwtFcTFsbmSCJgyBdiwQf242owYUIYMMd3esSM/u2IQkFQP8X0Ou2IYjIxkM3t+Pnv0uwrxXXHFd0K0bSwM3IlcSqilHEk9gqnRU5FbnGv3OYqi4NWBryLAPwCz9832CouBt/HKr6/g8fWPI68kDz6KD9o3ae+y5ZqsK1GccXHq+2Njee3ytdeAjRuBI0dc0g2PRqcDwsOBlmbRlo0aselWCgPPQ3yfjYVBeTmwV71UiWaIwTsrC7iscUS0Tge0bw906qRtu84ihUEtZe6BuZixd4bDYWSFZYV4a/tbeP231+2KhT91Crh40dleXn2M6DoCJ7JOIGROCJpNb4alR5a67FrGFgOjQAgA/Doujm+ur7wCNG3KVoOribIyYM8e67O0kBApDDyR2FigbVugSRN+PWgQ4OfHa/SuIjsb+PdfoNuVgKfERPvPrajggd/8Nygg4v3Cv8ATkMKgFpJVmIXVMavx2A2PGRzdHDl3TewaALArZ8GIEcD48U5186pkfN/xODjuICJCInCp+JJFRUotEcIgOxtITzfdd+ECRyWEh/MN9vnneSkh134Dk9dz5Aibn6Uw8C7i4vh7K2jYkCMTXOlnsGsXD+BPPsmvHfleLFgA3HILsGqV+n6djv0L1PyA3IUUBrWAwrJCjFo3CiezTgLgpDklFSV4vu/zDrfVvkl7w991/eraPLaiAjh9mr/Y5eUOX+qqpW+bvlg/ej3OvnIWc+6Y47LrZGezSRyw9DMwN8def8X/MS3NZd3xOKz5FwiEMLA205PUPHo9O+qFmQUeRURwzL+rwkt1OiAgoNIZ0F5hUFwMfMJFRDF1Kt8zzZk8GWjdGnjYvuKyNYIUBl5Ofmk+7l51N/449wca120MIsJ/d/wXN7W/Cd2DnYvn3/qfrdg8ZnOVx6Wmsjk2L49DhiSO0SmwE5rWa+qy9rOy2MwKWPoZCKEgZl5BQfyckeGy7ngcOh0PMOb+BYKQEL6xm1tbJO4jIQEoLDS1GACu9zPQ6fi31KEDUK+e/cJg2TIgJQV44QXgxAlgzRrLdqOjgbff5nY9BSkMvJjc4lzc/u3t+DPxT8y7cx5aNWyF0opSdA/ujveHvO90u7eH3q6a58Ac43W2mggXkjhGdjbfQJs2VbcYBAUBLVrwazE4Xi3CoLwc2L3bthd4SAg/y+UEz8Hc0iW46SbA19c1fgbZ2ZxAKTKSfQA6drTvO1FSwtaCwYOBefPYP2HKFFOrgbAWjBunfb+rgxQGXsqloksY9r9h+OvCX1jz4Bo80v0RAGz+Pzr+KO4IvcPlfRA/jgYNpDDwNIqLeWbVvDmLAzWLgfGs62qzGFTlXwDIkEVPxDxUUeBKP4M//+TlpIgIfh0SYp/z4bJl7MsTFQX4+ACTJrHVYO1a3q/T8ePtt3mZwpOQwsALuFxyGYO/HozRP4zGP2mc+zM5LxlJuUn46aGfHMpVoCXihjlyJP941NbPJO7h0iV+btaMb6LGkQlE/Nr45iqEgaNm85dfZvNqhw5A586cTdFTSUpiX4oOHYA7uXSI4WavhhQGnkdcHNCmDVvBzImMZD+DnBz1cxMTKz9/88dHH1m/ZnQ0m/n79+fX9jil6vXAp5+ytWAo543DAw+w1eCZZ/ia994LtGrledYCQAoDr+CN397A3uS9+PXUr+ixsAdW/r0SNwTfgDOvnME9Xe9xW78SEviLfccd0s/A0xA5DJo1Y8tAVlalNSAlpTIiQVCvHs+6HLUY/PorUKcOcNtt/H349VdNuu8S9u0Djh/nG/yIEZwUx5p/AQA0bsz/P0dC0ySuxdzSZczo0ezzNG+e+v6NG/nzj4jg76t41K/P6YetOZkeO8b5Pupe8cUOCeEqiNZqkAAsQpOTgUcfrQxB9PEBlixhJ8PbbmNHxhUrPM9aAMjMhx7P0dSjWHxkMd4c9CbeGfwOvvzrS8P6v7vrGCQk8KxKzLp0uqszra4nIkIVmzUDAgP579hYHgitmWNbtnRcGBQUcKGXxYs5J0B1CjK5GjHLW768MlqjKmTIoucgIhKszbB79uRZ+OzZnJtD5DkQ6HT8ef7vf6bbv/qKixadO8c1CcyJjeViYwLhe5KYaF2kiN9BN7NCrwMH8sPTkRYDD6dX617Y9MgmTLllCgIDAvFBxAdoUb+Fu7sFgG+YISFs2rv2Wuln4EkYCwNx8xJ+BuLZ/KYWFOS4MCgs5BkXwELDWpZFTyAhgX0u7BUFgBQGnkRionpEgjGTJvEymrnVQK/nXARqS0fGExtzMjN5ec34mvY4pVpzkvQWpDDwAoZfOxz1/DwolgX8Q0tMrPyRREbyD0/6GXgGQhg0b85ez02aVM5iYmM5GkH4FQiCghzzMSBii0GDK4ar8HDOhFlSUv3+u4LExEq/AXuRuQw8B3sG29692YL1+ee8XGZ8bmamurNpWBj/HtSEgdo17fE9iY3l352w1nkbUhh4MLeuvBX/3f5fd3dDFZHDwFgYSD8Dz8HYx0BReNDW6YD581nAqc26HLUYlJWxEDS2GFRUsDiwl8xM4Lff7D++OggLlyOEhHAlv6slWsOTsbYEZo6a1cBWkSJF4e1qaYvVrGvBwexvUJXFwFutBYAUBh5Lhb4Ce5L2QE96d3dFFfGjEDdaYY5zZb5yif1kZ3P+eFFtbvBgXp996SXg5EmO+zZH+BjYOzsWWeaMLQaAY34GL7wA3H676wUlkfPCAJDLCZ7AqVP8Ha1qFt6nD1sNPvus0mqg0/FM39rnHxnJzoLnzpluj43lpad2RoVmfXxs5zLQ6y3TNnsbUhh4KIm5iSipKMF1La5zd1dUMRcGbdoAXbpIPwNPITu70loAcOhUejo/MjLUw7OCgiozWdqDuTDo2pVvmvb6GcTEAD/8wH+7uoBTRgbP/B0VBjJk0XNISTEdoG0hrAZffskDdXS07ZwVYp/5xEbM/M2LG9nyPUlO5t+GtBhINCc+Ix4AcH3Q9W7uiTriR2G8Ziv9DDyH7Gz2LxAoCg/8ItuhWhU3R3MZFBbys1hKqFePcxnYazGYOpVFxUsvAevXA3//bd95zmAuZO1FCgPPISWF1+3toU8fjiT47DPgwAFesrKVs8Kan4F5vg+BLWFgnm7cG5HCwEM5nnkcADzaYhAcbBqDGxnJ1flceYOX2EdWFlsMHMHR7IfmFgNAPcuiGrGxwLp1HFY2dSo7R7rSauCsMGjShE3XUhi4n9RUtkzay6RJLJBFRURbFgNFYeFg7GeQlcVFxdQGeJHLQK1ok7dHJABSGHgsHZp0wMPdHkazAAfv7jWE2nqtrbAfSc0ilhIcwdF6CWrCICyM14JLS22fK6wFr7/OWewmTAB++olz0rsCNQuXvciQRfdTXs6WLHstBgDQty9w993sU9OhQ9WiMDKSExOJz9rWAG+cy8Cc2FhO/Obo78+TkMLAQxkVPgrfj/xe83YrKoBhw4C5c6vXjpowaNsWCA01Xad75x3giSdMjzt/nlOTxsdXrw8S6zgjDBy1GJgvJQA8uyovtx2ZkJDA+eJfeaVyuWPCBJ6dz5jhWJ/tJSGB/x+NGzt+bkgIcPas1j2SOEJaGs/kHbEYAGw1AHjSorZ8ZoywKGzbxs/W8n0Atp1Svd3xEJDCwGMpLi92Sbtr1wI7dlhm/3IEvZ6VtZoCN/YzOHcOmDUL+PFHPkewaxenJl2/3vk+SGxTHWFgr4+BNYsBYNvPIC6Ob/LG2eSaNuXoBFfVWnAmIkHQuzfPOkVuCEnNk5LCz45YDAAurPTNN8D7dhSbDQ/n7ImffcbiNi6Oo3rat7c81powIPL+UEVACgOPIKMgAxO2TkBybrLhdf1p9bH0yFJNr1NRwSZcgKvL5eY6187Fi2wqVjPLRkZyEZN//gE+/ph/YAUF7KkrEEpcLjm4hpIS/p8bOx/aQ0AAD/LVWUoQkQm2hEFqKj+bz/7Cw1lMCkuEllRHGERE8A1/1y4teyRxBGvfGXt4/HHOzFoVisIWhtOnge+/r3Q8VLM0BAdzjRBzYZCczDUUpMVAUi0u5l9E5DeR+OLAF5i9fzYAID4zHgRCu8Z2xubYybp1bL4fP55n8Hv2ONeOLUcu4WewfDkXCOnbl18bDxTi7z17ODxOoi3G6ZAdxZF6CWpLCQEBnG/elgOimP21amW6PSyMB+Djx+3vrz0QOZf1UNC/P0dcSCHrPpy1GDjKiBFcMGnqVA6ntTbzt5bLwN4kTJ6OFAZu5ELeBUSsiEBiTiJGh4/GDcE3ADAKVWyhXaiisBaEhbGprE4d5290toRBu3YcsjZvHuDrywIBMB0ohImusBA4dMi5PkisUx1h4Ej2QzWLAcCzpaosBs2bV1arMz4P0L7eQmYmf9ectRjUrQsMGiSTd7mT1FSeuQcHu/Y6wmpw6pT1iASBmlNqbYhIAGR1Rbfy/h/vo6C0ANse3YabOlSmojueeRz1/eujfROVxS0n+eEH/tKuWcM38gEDqi8MrM3AIiOBM2e4Clq3bjwzFANFcTGb6saPBxYs4D7ceKNz/ZCoU11hcOGCfccKYWBsMQD4prh5My831aljeV5KirpJODQU8PfXvkKjs6GKxkRGVoa/NWvGS2Tz56sngxo6VD2zJMADzpo1lSFxw4cDvXo536+rhZQUtmb51cCINWIEcMMNvBxalTD4+WfTbbGxLF4cXcbzNKQwcCPLRyxHWUUZ/H39AQC5xbk4nnkc8Znx6Nq8K3wU7Qw6GzZw1MCDD/LriAj2AcjLc8xTmwj45Rc2F5sPCIIHH2TP3rff5tfGM8gTJ3gZIyKC12x1Oo5ckGiHcQElRwkKsj89cWEh36jNB//+/Xng3LQJGDnS8rzUVHWTsL8/rwVrbTHQShgQAX/+yQPH8uUcSaHGd99ZXw758ENg9erK199+y+/X19f5vl0NOJrDoDr4+ADTpwNjx1YuhaoREsLWNeNCYrUhIgGQSwluR4gCAHhu83O4d/W9GBU2Ci/2e1HT66Sn8wzf58onHhnJA/Tu3Y61s2MHe46/+ab1Y+64g51w2rbl16Icr/DYFdsiI6WfgSswLqDkKI7USzC+IRpzzz08wE+ZYhqNIrBmMQD4e+Eqi4GzPgZApZ9BdDRbQqZNY6tbWRmLIPGYPp3F78WLlm0QsRB+5BE+9ocfONrBWChI1HEk66EW3HEHW87MK5AaI4RmUhI/15aIBMDNwkBRFB9FUV5TFOW4oijFiqIkK4rymaIoKrcb1fODFUVZeOW8UkVRkhRF+UJRlKau7nt1yS3OxZDlQ7DxxEbDtlFho5BekI6OTTtibO+xml4vPd30S37jjTxDc2TdlAiIimI/gqeesv+88HAeRJKS+Kbv68sDR2Qkbz982P62JFVT3aWE0lLg8uWqjy0sVLca+foCH3zAplhzU6tez4OmtZt8eDjnDCgqcrzv1khI4OyFTZo434bwM9DpOPwtMZGXFvz8+P2Kxy238PFqv6uTJ/m933ILH3v//WyynjJFphGvipq0GNiLecji+fP8u5EWg+ozG8DnAOIAvAxgHYBXAGxSFNt2dEVRWgI4AOBpAD9fOX8DgOcB/KEoihVDt2eQWZiJP5P+RE5xjmHbnaF3AgA+/vNjVOi1vVNkZFRmtgP4hu6on8HvvwN79wLvvmvpOGYLoaDj4vjRpQufP2QIb5fe3tqSnc0DT6NGjp/rSC4DaxYDAHj4YXWrQWYmz5ZtWQy0jkyoTqiiMZGRvMwyZQpbEO64w/KYXr34/672nTYv/evjw+JCWg1sU17OjoA1aTGwB3NhUFsiEgA3CgNFUcLBg/lPRPQAES0hotcBvA7gFgAPV9HEuwA6AniCiF4mokVE9DKAJwD0vNKOx5JdxNM645THAf4BaBbQDH8k/IG4DO0WWvV6viGbm8UiIni2bquanl7P5tKyskprwdNPO3Z943K8xkVJWrbkv6Uw0BbzyoqO4Ej2Q1vCwM+PrQZ//83+LQIRj27LYgBo62eglTAQ+QzOn+cBXe3/6+cH3HyzusUgOpoFUWho5bb77gO6d+eIIWk1UCc93bmsh66mVSvTXAa2MiV6G+60GDwCQAEwx2z7EgCFAB6t4vxbABQBMNfaawAUA3DA2F3zZBXxQnDzAFMPMd0TOjzd82lNqyrm5LDqNhcGkZF8M9qxQ/283FzOMV6nDj/27HHcWgDwINWqFXD0KEckGP9wIiLYz0FtLdqVLF3Ks77awujRlamns7Kc94p2pF6CtaUEwcMPs3Vo5szKbSIe3dpNPjSUB1c1P4NPPuGqeY74pBDxjbs6/gWCAQPYz6BfP+DOO60fFxnJ+ULS0kz7odPxPmNBIawGJ04AGzfCZUyfzv0vL3fdNVxFTeUwcBTzXAaxsfz78faIBMC9wqAfAD2Av4w3ElExgGNX9tuiLoBiIlM3KSLSgwXDNYqitNCuu9qiZjEAgO7B3bFsxDL4+WgXMCJu8moWg06dgE8/VXc2mzuXHXDeeQf46CNgzhzgmWec64MIYdPrTU1tXbrwzDMnx/q5rmD/fuDgwZq/risoKuK1/JUr2dTtTDpkgVYWA4AH+BEjOMummA1XZTGoU8d6ZMLatdzWt99W3TdBcjILmK5d7T/HGnXrsvXju+9sW2NEki9jq8GpU/ze1Ur/jhjBkUG//Vb9PlrjwAHgr784o5+3UZ2sh67GWBjUlogEwL3CoA2ATCIqUdl3AUALRVFUoqANxAIIVBSlp/HGK68Dr7zsoElPXUB9//ro1aoXmtd3vbwUN3ljHwOAnQ/fe48HyF9/Nd2XmwvMns0e5h9/zMe9+iqf4wzh4ZUpmI1/PI4W7tEKcb3aUDVv//7KaoZTpmgjDKrrYyAID+cUzaIIkT2zP7XIhOzsynLe06bZP/MV7Wh1w/6//2Mxa4vevTmBl/ESmbl/gTFi+cGVS2ri+/7RR95nNajKyuRORJKj2hSRALhXGNQHoCYKAF4KEMdYYw7Y4rBWUZS7FEXpoCjKneClBGFstHq+oijPKopySFGUQxk1PSoBuO+6+3Bk/BG0qO96o4Y1iwHAecRDQoDJk02tBvPmAZcuVVYnqy7iByMiEgRSGFQfnY7Nmq+9xoWpTpxwXhjUr29/vYSqlhIAy6JKqancN1vLUWqRCX/+yd/PN9/k5Fn2Wg3ckYlObaDX6VgMWRMVkZHscKkW5qgFGRlAixbe6ehYU1kPnSEkhEX0yZPsqyUtBtWnELwcoEY9o2NUIaI/wQ6KjQBsBpAIYBOAPwD8cuUwq251RLSYiPoSUd8gW8GqtQAx+1N7m8Jq8NdfwNatvC0vD/j8c7YW9OmjTR/EDyY01HRQcGRNW0tqmzDo3ZuT5zRpwgNqddY57U2LbI/F4PorrjJigLaVw0AQFsZLTidOVG7T6Xh9f+pU9vy3d+brrkx0ws9AOM5FR1v6FxijtvygJRkZwKhRHB7pbY6ONZn10FGEU6uwuEphUH1SwMsFauKgLXiZodRWA0S0DkA7AL0ADAHQhoieu7KtHMBpbbusHW9tfwv3rb6vRq4lbvItrBgnHn+c18peew14/XVOwKKltQConLGZz9wcLfWrFeJ63i4Miop4KSEykksXv/oqb3fWYgDwZ2LvUkJVFoNGjdiB1dhiUJUTmXEUi0Cn4zwCdetydMyZM7zWXxXuWvcVSwbPPw+88AIPbmrLCAK1MMfdu00jOpylrIyXYlq29M7wSHu+M+5CCIMtW/hZLiVUn4NXrm/iG64oSj1wuKFd5XWIqIKIjhHRn0SUrihKK7BQiCYiFxRw1Ya4jDgk5yVXfaAGZGSwc5M1822dOuzxnZbG3vp//ske7lpZCwCesd11FztaGeOOpYSSksoQTW8XBsK/QAw6Eybw5zZwoPNthoVxdkuRQdEahYVVWwwAHpgdsRh06cLCZs0afi38C8R7vOcedpqtyovfneu+vXsDPXsC27ezgGnb1nYkg/nyQ0kJR3U8/HCl852ziM+xZUsOj2zTpnIg8wbs+c64CyEMoqP5/2tt8uVtuFMYrAFAAMwzjo8D+wYY5gOKonRWFOW6qhq8khRpLgBfANO066r2ZBVlWYQqugrz5EZqCCtBXh4/VqzQvh+bN1eG1Anq1uWZUk0Kg8zMyr+9XRgI/4LBg/l1YCBXrLztNufbfOMNzuA2e7b1Y0pL2ZRvjzAIC+P18/Jy21kPBXXqsOVq0ybOsyH8C4QwUBSOMkhMtN2OOzPR+flxeK74PZ0/D7SvoiaasZ/BsmUcEVRczKGG1cHYx8jHh/vhBrcqp/Fki0Hr1rwcW1pae6wFgBuFARH9C2A+gAcURflJUZRnFEX5DJwJMRrAKqPDfwcQb3y+oigNFUWJUxRl2pVzJ4JDH0cBeJ+I/qiZd+Ic2UXZFqGKrsI8HbKnIfLz1xTiWm3aVD24eDrR0WyGrk66X3O6deP16LlzK9Mrm2OtsqIa4eE8wB08yGZte2Z/L7/MImfyZH6P9eqZ5p1QK3lrjrdlohN+Btu3swVv8GDgySeBRYuqZzUwdz52pLS2u6moYEump1oMRC4DoPb4FwDuT4k8AcAbAMLBIuFhAPMADL+Sj8AWpQD+BjAGwJcA3gOQBeAOIvrYZT3WiJoUBhkZni0M7F3T1gpxrX79OI+Bt+YyKC6u9C/Qmg8+sG01KLyySGevxQCoTKRlz+yvceNKq8F333FtD+OlsJAQNpHbqungbZnoRJjjm29WZld8/30WUzNmON+u+L4Lq6E3CYP0dHZE9VSLAVC5nOAtAtQe3CoMrvgHfEZEXYmoLhG1JaLXiSjf7LgQIlLMtpUS0SNE1ImI6hFRMyK6nYi21ey7cI5B7QehR3CPGrmWNwgDd1gM+l1JoaWl1YDIvsqEts5XywJZXm7Z7v79vBbtCmHQvTuXTLZmNRAWA2eEgb2zP2E1SE+3fI/iZmzrs/O2THTCzyAtDbjpJuDWW4HOnYHHHgMWLnTeaqBmMRDREtWlosK1WUs9OYeBQFoMJJqx4eENGN93vMuvQ2Sfj4E7cddSghAGWvoZPPooP5xlwwYeyIytGETskPfhh6bH/vKLqX+B1nz4oXV/E2ExsGcpoVEjXtfet49f2zv7a9KEI2WAyqqFAvMCNmp4YyY68T6NazG89x6vYS9e7FybGRnclohUadmSrRC2aqTYy7BhHHnhKuKvLCB7sjAIDeX/r7QYSLwGa3USPAlhMdBiBmMPGRk8O+t5JWemlsLgwAF+OItOx5/ZP/9Ubjt/nvv42WeV+fczM3nt+aGHOEzRFdxwAw8mp1WCfh2xGAB80xQ1DhwxC//3vxx9YC5+xCzN2mfnrZnoXniBY+KNnUdDQ1lYqX0O9pCezmLT15dfaxUJdOkSf19//tk1v129Hpg1ixOi9eqlffta8cILwB9/ePY91lGkMHADR1OPov3s9tAl6Fx+LVtZDz2FoCAWLzW11p+ezmFFQUE849VKGFRUAElJ/HA2gYxYFzeuFSD+LiriGyXACagKCtgXwJW0aVNpzjXGUWEgZu6BgexIaC916nB4onlioOBgbsfaZ3fhgndmomvQgMs5m79fa5+DPZhbDLXKHbJ7NwuC9HTTZFRasXEjh6m+/75nJjcSNG6sXgPDm5HCwA1kFGbgfN55+Ps4WXjAkWt5iTAAam45QfhcKIp93u32kppaWaLa2fVg4UlvnNxH/H3nncBXX3FI27x5bC1w9Yy4dWv19+LIUgJQ2U+tnMgUxbSAjTneFpFQFdY+B3sw9zHS6vcmQmXF31pCxBEpXbpwKLWkZpHCwA1Yq6zoCqwVUPIkajotsvEMSkthYNyOM23m5FTOCs0tBi1bcoRAcTGvQ9eEtQDQ3mKg5VpxSIh150Otiye5m+paDIyFgVa/N50OGDKEkzdpLQw2bOBKoR984NnWgtqKFAZuoCaFga06CZ6CKywGmzZZLzFrnNfBk4SBEAPBwZYWg/BwTuozZgwnwBk1qmYGvdat+XrmnueOCgNRM0HLsDPzz+7MGS4L/uSTnMEzKKj2ZKJr3ZqrkwpLjSOkp6svJdjze5szB/j3X8vtOTmcwCkykh86nXZ+BkRcJTQ0VFoL3IUUBm4gq5BzlAYGBFZxZPXxpqUErXIZ5OZyhsWnn1Y3vxrPoEJC+CYnSkJXB62EwciR7GSYlWXpRBcVxemOp0ypZmftpE0b9v8wzhYJOL6U0KQJ1+S45x7t+hYSwv3KvxLcvHAhsHw5D1KFhdWLDvE0hKXF0eWE8nIONzX+/QcEsKCr6vdWUsJRIePGWQ76xtkoIyP5+6qVn8GpUyw6JkyQ1gJ3IYWBG7i2+bV4pNsjqONbx+XXysjgcDFbZW7djdYWA1EyurTUMp1saSmLAGNhAGiTyyAhAWjVimf8zgiD2Fi+ad91F7+Oi7N0ouvcmcP+unatfn/tQczwzQckRy0GAPDNN2zp0Arzz06n4/j/hAR+fP65dtdyN9Y+h6oQdRLMJwb2hAiL/QcOANvMssNER/M9ZcCAQTPGjQAAIABJREFUyhwTWlWGFMsSw4Zp057EcaQwcAOju43GqpGrqj5QA8zNiJ5IvXra1UswLhn9xBOW6WTFzNfYxwDQZjkhIYHbs7X2bYu4ODa5d+9e+VpYEdzlRCdmqubr2wUFHP7m73r/WasYf3Z5ecCRI65J9uQJWPscqsKaxdCepGLGFoXJk02tBjodZ6OsV4/FqpZ+BjodC6EuXbRpT+I4Uhi4AaqpgH14ftZDgVbZD4W1YNIkTgxjnk7W3OfCVcLAWYtBeDjHrDdsyK/d7URnbaYqKiuah9XVJMaf3e7d7AdRW4WBsxYD83TIAnt+b2L/449zls3ffuPXwr9AhOgpCv+thZ8BEVseIiPd+9262pHCwA1EfhOJB9Y84NA5IlGRo3iTMKiuj0FeHicBGj6cSw937sw3NeN0suYzqBYttMllIHIYGFsMHEkVm5vLywZhYZVZ1IQwcKcTnRiQ1CwGjiwjuIKWLdmcnZDAg1KdOtUrN+3JNG/O1hktLQZV/d7EuW++CXTowP4t8fHAunWWIiwykp1Ut2/nY5wNrTx9mt9jbRV43oIUBm4gvSAdfj72e9VkZ/Mg99//On4tbxIG1bUYrFrF1gLj1MEineyiRfza/EapKECnTuzwVB1EDgMhDBzNZWBe8CcsrHIpwZ0hd/XqcfZDNYuBvY6HrkJUtktI4Flm//7u75OrUBReTnB0wLUmDISPga0Zvji3bVvg3XfZahAWBjz7LPvCDBhQeaxI5Xz77XxM+/bOiQOxHFHbEgZ5G1IYuAFHKyvOns3iYP58x2YM3lAnQaBFvYSjR3kQ69u3clvnzlwT4fff+bVaXocBA4A9e6pXDEb4FAhhADhmhTBfMggP5xnY0aPuT9LTurVnWgwA/l//+y9w+HDtn2WqfQ5VkZ7OosK8kFRQEAtmW9Up09M5KqBpU45M2LABWL2aH7t2sTgQhIZyWuDVq4Fp09iCdvSoY30FWBi0asVpkCXuQwqDGoaIHBIG2dnAF19w1bWKCksve1vk5vLM1ZssBtVZoxSza/O1ychI9qwuLOSbna+vaX2ByEi2NKjFa9uLEAHOCoO4OL7RmpdwLS52f5IetZmqJwmDEyf4t1HbhYGzFgPjOgkCeyKBjDOE+vgA994LjB7ND2PxLYiM5H3PPcevjZN02YP0L/AcpDCoYS6XXka5vhzNA+yrBTtnDqv6+fMrveztnTV4Qw4DQVAQixhn8wkQ8axbbXYdEcFt79vH/5MWLSpTuYr9QPW8qoUI6NCBH8bb7CE2liMSRL+M34cnWgw8YSkBqBRS/v7sJV+bccZiYG0pUVjMbPkZOLsM2awZz/qNk3TZw5kz7GdT2wWeNyCFQQ1DRHix34vo06ZPlccKa8HIkRzC9u677IBo7GVvC28TBoDzywlpaTzrV5td33QTz5h0OvWllQ4d2M+gusIgOJhn/fXr8zUctRgYC4AOHSpn5J5gMTDPfuhJFgOAl4M8Qai4kjZt2Am5qMj+c6wN7vb83owzhDpKeLjjFgPx+5PCwP1IYVDDNKnXBF/e9SUiQyKrPHbOHPa0F85011zDVoOFC/lGXRXWQpU8EeP87eXlwMSJjpn2bRXNadyYoxSio63fKCMjed1Uzc9gyxb+LGwhQhUFjoQs5uVxaWVjAeDjwxYEUQXSnbRuzRYXkSwH8DxhcDU4qzkTsmgtj4m9SwnO3juE82xVS4OHDwMPPACMGAF88gmLa+lf4H6kMKhhyirKUFpRWuVxly5VWgtuuKFy+2uvcarSLVuqvpYwO2qZn95VGN+ovv+ekxSJSAJ7MPfqNycykr2qExOtC4PsbCAmxnLf7Nn8f1fbJ1ATBvYmOTp9mp/Nb4jPPcdpYd2NWjpeT1lK6NEDuP9+4LHH3N0T1+NMWuTqWAyqE9EUFsapqpOTbR/31Vd8L0tKYgE/caL0L/AEpDCoYdYfX4+6H9VFXIZtO5u5tUAQHs4q3h6zd0ICx3kHBzvd3RpD3IBSU4GpU/lvR0z7sbFAYKD19yr8DM6fV7/Z2fIzEKJD9MscvZ5FgJowsCfSQVgWOnUy3T52LIdbuhu1XAaeYjGoXx/46aeaSxHtTqzllLBGRYVlnQRB/fq26yWUlPD9pzpLCUDVfgY6HZcTP3qUH2++6dz1JNoihUENYyigVM96AaVLl1gYPPCAqbUAYDVtbzWzhASO8/bxgk9Z3IDmz+ecAoMG8U3F3qRH1iISBIMHV/4f1MyjHTvyYG4uDEQp5OBgTuyidqMzzmEgCAnhcDB7lnyMIxo8EbWZakGBZ1gMriYctRiIIlzWBndbuUOqW65dLOnZ8jNISgLOnr06loG8DS8YMmoX9pRc/uILdWuBICKCTXTnztm+lrl525MJCOA0wDExLIZmzeLtu3ZVfa6tiASB8DMArN8o1fwMhBCYMYP7p2Y1UBvYHQlZTEjg/hmHUHoS5jPVsjL2A/EEi8HVhKPZD6vyMbJHGDhrMWje3LJ8uDmi6JJ0NvQ8pDCoYbKLstHAvwHq+qmXO8zJYWvB/ffz+qka4odUlandm4QBUHkT+vBDjpNu0MD6e0xLq6zwl57OJtOqvPfF/82WMMjKMr2ZiRnPzTcDL78MrF0L/PwzsHdv5UMkT6qOMAgJ8dy11Xr1eJlGDEjOVFaUVB9FYZFWlcXg9Gn+XgpRbctiYM0ip0VEk3BAtIZOx98rc6uoxP1IYVDDJOclo3Uj696AK1dyLL81awHA3upBQbbLnBYU8I/bm4RBSEilM5m/P5v/1d5jQQEf95//8Gt7Cw393//xs/lavkDNzyA2lk3mHTsCr7/OVoP77+cQSPGYNIl9OUT+AoCP9/Vlh8eqSEzk4z0Z4wFJCAO5lFDzVJXLICODB+SbbgJefJG3tW+vfqytbKNaCAMRsmhtyTM6GhgyxDuWOq827E/YL9GE+667DxEdrS+q7dzJaXx79rTehrmfgdpMMymJn71JGHz/PQ+m4kYRGQm8846ld/RXX7HFYMMGDneytzTxbbdxgZfrrlPfL7IW6nRsHQAqSyH7+LB59PBh9SWctm1NB8r69Vm4LF3KDoTWnCKJ2GLg6eusbdpUDkiFhfwsLQY1T5s2wMmT1vdHR/NSz/z5nKY4MJCf1TDONmp+D9Ei1DksjJOznT9vKU6Skzmh0UsvOd++xHVIYVDDjOk+xuo+vZ7Nfw/YUXgxIoKd4RIS1GfAwoTt6TNRY8wHT2H637WLwzYBnq3OnMmm/ZgYrhPfti3fAFu1qvoa1kSBICIC2LyZPwsfH7YY3HZb5f4uXeyvE//++8C333J/hc+EOTk57E/i6QKudevKAUkuJbiP1q1tLyFGR7MoHTeOrW62CAri6IP8fKBRI9N9GRmVdRKcRVjw4uIshYGwBHq6IL5akUacGiS/NB9nss+gQl+huv/ffzkiwR5nnKr8DDzd090e+vSx9DNYsIBvWp9+yrkFNm0CNm6sLFdcXSIjgcxMvpmJiARnUxJ36cJWA2HhUMNbPieRp5+o0mIglxJqnjZt+B5hLfuhTsfLCFWJAsB2WmSROrw6vynxu1FzQNTpWHRI/wLPRAqDGkSXoEPovFD8deEv9f06frZHRYeF8Q/Xmp9BQgLXp7dnFu2p+PvzTU78XwoKODpg2DAOZ3zlFb65pKRolzbYWHBVlTTJHt5/n2dl1iwG3iIMjLMfSouB+xARImphsBkZbEWz18vfVpIjLaqytmjBbag5IAr/AvPiThLPQAqDGuR45nEAwHUt1O3ZOh2nPbbmLGSM8DPYuVM9iY435TCwRWQk3+wGDwYGDuQb1qRJvK9JE7YaANoVGgoJ4f9bdLTtNMv2cu21wJgxvOabmWm531uEgYihT06WwsCdiM/hwgXLfSIKQQthUJ06CcaEhQH//GO6LSmJIydkmKLn4uXDhncRnxGP4AbBCAywTG4k/Asc+bHcfz/fqDdssNznbaGK1nj4YeCuu9jrv2VL4K232IogmDABePJJ4L77tLumcOwUEQnV/T++/DKbfrdvt9yXkMDru4HW8115BP378+xuxQq5lOBOrr+en48ds9wn/AvUSiKrYUtkVCcdsjHDhgEHDwJHjlRumzu3soyzxDORwqAGOZ513Kq1ICaGY/EdEQYPPcTr2JMnW1oNaosw6NSJnQF//50f06eb7m/cGFi+XFsny4gInt3/9JNpKWRn6d2b+6nmDyJCFT01h4GgY0fg8ceBxYsraztIi0HN07EjP9S+S8K/oE4d+9pq3ZqX69RybWglDF58kZf7Jk/m12lp7HPzn/9w9JXEM5HCoIYgIsRnxOP6Fter7nfEv0Dg5wd88AHw99+mVoPCQjYF1gZh4A6EOEtO1maJws+PoyjU/EG8ScC99x77GYhKk9Ji4B4iI/m7ZDwZyMxk52VH7h8+PiwyzIVBaSnnUtGiKmuTJpz/Y+NGroUwaxb73Lz/fvXblrgOKQxqCAJhyT1L8FSvp1T363Q8OzZOkmMPjzzCVoMpUyoTiYiqft4y4HgaISGVn4OWTo0nTlhmrfMmYdC5M1cxvHSJX0uLgXswjpwROOpfIFArD65FciNjhJPw66+ztWDMGFla2dORwqCG8FF8MDJsJPq37W+xT6/nGYAzzjh+fqy+jx2rtBpIYVA9hGMnoJ1To2jP2GqQk8MzM2/6nN57j30NfH3tN1lLtEUtVFmn43oj/fo51lZNCAPhJKzTAcXF0lrgDUhhUEPEZcRBl6BTzWFw8iT7F9x8s3NtjxnD2c0mT67MpAd414Djadx5J6+/9uqlTXs9e1r6GXjj5xQaCjz1FDuuebpfRG1FWLSEyCwt5UnBzTc7LtZCQnjd3zgvgtbCAGCrQfPmwKOPXh0lsr0dKQxqiMWHF2P4quFQVO6mMTH8bK1oUlUIX4Njx3gtrzbkMHA3o0ez5aVdO23aE34G3i4MADYHHz7s7l5c3RinRF+5kkMAJ0xwvB3htCusjIA26ZDNadqU05EvXqxdmxLXYbcwUBTlfUVRrFf/kdgkPjMeXVt0hY9i+S+Pi+PZV1Xpem0hrAZRUZzLv0MH789h4E5EJTstiYhgPwORnMZbhYG/v7azSYnjCD+Dv/8Gpk3jJYQ77nC8HfHdMxYGrrAYiPbqqheVlXgYjgwdUwAkKYqySVGU+xRFkTmrHOB45nGrEQmxsex4WB0vb2Nfg02bvG+wuRow9zNITGQHvmbN3NYliZcivkvjx7PAjIpybmlHrTx4Rgb7kFSnToLEu3FEGAwAsAzAzQB+BHBeUZRPFUWR/qVVkF+aj6TcJKs5DOLitPF+F7HBRUVSGHgivXpxMiOxnCAiEuRavcRRQkI4Q+pff7G14M47nWtHLZeByGEgLY5XL3Z/9ER0kIieA9AawFMATgJ4C0C8oii7FEV5TFGUABf106s5kXkCAFQtBmVlbF7WKl5eePxKYeB5CD+DlStZCG7bJj8niXMYR85MmuS8uPT15WVHY2GgVTpkifficNllIioCsBLASkVRugB4GsDjAFYAmKcoyioAi4lIJWnn1UlYUBj2j92PLs0t6/WeOcPiQKt4+UcfZaExerQ27Um05a23ePmAiMXg2LHu7pHEW5kwgWur3HVX9doxDlkk4vTFAwdWt3cSb8ZhYWDGOQCHAfQDWxIaAhgHYLyiKFsBPENEqTbOvyoI8A/AgHYDVPdpUajHGD8/4JNPtGlLoj0REbIGvUQbevfmR3UJCeG04wA7LicnA++8U/12Jd6LU6tIiqKEK4ryOYAUAGsAXAfgIwDXAGgPYBqAWwB8rVE/vZr4jHgsObwE+aX5FvtiY9kMeL26X6JEIpG4lI4dOVKmqMi51OyS2ofdFgNFURoCeATAWLCFQA9gK4DFADYTkXEZnw8VRckHMEnDvnot0YnReH7z8xh+7XA0rNPQZF9cHCt2mXdeIpG4A+HnkpTEwiAoSE5UrnYcWUpIA1APwHlw6OIyIjpv4/hEANIZEUBJeQkAoJ5fPYt9sbHa+RdIJBKJoxiHLIrU7DJS5urGkaWE7QDuBdCJiCZXIQpARGuISAa8ACipYGFQ1880u0d5OTsKSmEgkUjchRAGOh1bDZyp2SKpXdhtMSCi+1zZkdqMsBjU9TUVBqdPc0SCVo6HEolE4iht2rDT8sqV/Fr6F0gcSYl8q6IoVv3dFUX5RFGUW7TpVu2ipKIEvoovfH1Mk0WKsqnSYiCRSNyFyGWQkgK0aCEnKhLHlhL+CyDUxv5OV46RmPHawNcQ80KMxXYRqlidGgkSiURSXcRygvQvkACOCYMeAPbb2H/gyjESM5rXb66aDjkujmskNGjghk5JJBLJFUSVRelfIAEcEwZNABTY2F8EILB63amdbD29FUsOLzHZRgQcPSrNdhKJxP0YWwwkEkfCFS8A6GNjfx8AF6vXndrJqn9X4c+kPzGuzzjDtt9+44iEiRPd2DGJRCIB8OSTQOPGcqIiYRyxGGwG8ISiKLeZ71AU5VYATwDYolXHahMlFSUmEQlEXCa1QwfgiSfc1y+JRCIB+F40YYL0L5AwjlgMpgEYCWCboii/AhBFknoCuBNsLZiqbfdqByXlJSY5DLZvB/bvBxYuBP6/vTsPj6LKHj7+PYQsBEIgBCGAEBZBRBQFRAFZFFBcBhdwQUVlGxkX8J1RR8F9xlHU0XHUkU0QBAUdEfAnKrs6KoiyI8qSAIIoeyAkgSTn/aO62+6kE7pDd5oO5/M8/XT61q3qU5VK+vSte2/FxUUwMGOMMaaIYOYx+FVEOgL/wUkE3Pf0UmAucI/dMMm/3PxcT4uBu7Xg9NPhzjsjG5cxxhhTVFB3V1TVrcAVIlKT34cublLV/WV5cxGpBAwH/gikA7uBGcBjqlpaR0f3+tWA+3Du4ZAO5AE/4dy/4S1V1bLEFWpHcpT9X/bjX0ecm5V8/TX85z/WWmCMMebkU6bbLrsSgW9D8P4v4XywzwReBFq6Xp8nIj2K3JjJhyupmAt0BN4C/g0k4iQJE13bOinmVbgz8X0GTk5ihGtmsWbNrLXAGGPMyalMiYHrm3oN/HReVNVtAW6jFXAv8IGqXu9VngG8AtwETCtlEx2AzsDLqnq/1/qvAxtwWiFOisTgt5+TAOc+51WrQrVqEBsb4aCMMcYYP4K6yZGI3CQia4GDOHdPzPDzCNTNgAAvFykfBxwBbj3O+tVdzzu9C1X1KLCH0udcKFdzlq4mqUYeDRpAzZqWFBhjjDl5BdxiICLX4HyD/wkYA9zlel0ZuAZYjTOkMVDtgUJgmXehquaKyErX8tIsAw4AD4pIJs7Mi4k4wybbuuI7KazYsJ+ElB1Ak0iHYowxxpQqmBaDvwA/4AxPfMxV9qaq3gS0A1rw+xDGQNQD9qhqnp9lO4BUESmxe56rn8MfgH04HRa3uuK7G7heVceVtG55O7q3Hkl19kY6DGOMMea4gkkMzsHp6Z+L800fIAZAVdfijAR4OIjtJeKMIvAn16tOaQ4Da4EXgOuAwcAmYJqI9CxtRREZKiLLRWT57t27A486SKqQv68BNeocCNt7GGOMMaESTGIQA7i/9ua4npO9lv8InB3E9o4A8SUsS/Cq45eItAa+Auap6gOqOlNVJ+B0SNwFjBORmJLWV9WxqtpOVdvVrl07iLCD89tvQH4VaqYdDNt7GGOMMaESTGLwM9AIQFVzgN/wvXdCC4Lr8LcT53KBv+SgPs5lhqOlrH8/TgLxnnehqh7B6evQCGdug4jKzHSeU9IORTQOY4wxJhDBJAZfAd73SZgNjBCRx0TkCZxr+4uD2N63rve/wLtQRBJw+jEsP8769V3P/loFKhd5jpitW53nR67uH9lAjDHGmAAEkxi8DiwWkSqu1yNxLh88gdMZcTNOB8VATceZTnlEkfIhOH0LproLRKSpiJxZpN561/Md3oUiUgPoA+zH6W8QUe4Wg+ZNS7pqYowxxpw8grlXwrd4zXaoqruBNiJyDlAA/FDaTIV+trdGRF4D7hGRD3DuzOie+XAJvpMbLcC5NOB976+XgQHAs67+Bv8DUnASizTgblUtCDSecNm0JZ+E6rms2Pc9XZK6RDocY4wxplQBtRiISFXXJYPLii5T1dWqui6YpMDLCJxWhlbAazizHf4buOp423Pdt+ECYArQ3bXeX4HtOMMVXy9DPCG3JaOA3Ko/subXNZEOxRhjjDmugFoMVDVbRB4B7gnlm7u+0b/oepRWL72E8s04ExqdtLZtrQQ1Mn1uu2yMMcacrILpY7AZqBuuQCoiVdi+LcZJDGIsMTDGGHPyC7bz4RARqRWuYCqa3bshN8daDIwxxkSPYIbzHcKZfvhHEXkL2IifCYhUdXKIYot67hEJ1NhKfEyP0qoaY4wxJ4VgEoNJXj/fX0IdBSwxcHEnBqv+OovWLSIaijHGGBOQYBKD7mGLooJyT26Uni6IlF7XGGOMORkEM4/BknAGUhFlZkJyzXz+3+K7GHnxSBrXbBzpkIwxxphSBdP50AQpMxNqpR1mwooJ7M/dH+lwjDHGmOMKuMVARB4LoJqq6tMnEE+FkpkJqfUOswVsuKIxxpioEEwfgydKWaY40xUrYIkBzhwGmZnQpW0WgA1XNMYYExWCSQz8XSCvDDTFGaWQzEk+C2F5OnQIjhyBarWcxCChckKEIzLGGGOOL5jOh1tLWLRZROYBnwN3Ao+EIrBol+XkAyRWO0ZSXJJdSjDGGBMVQtL5UFUVeB/nboeG3xODK1tfTNbDWdSuWjuyARljjDEBCOWohDjApkt2OXjQeU5OjmwcxhhjTDBCkhiISDtgOPBDKLZXEbhbDJbunsdN79+E06hijDHGnNyCGa64pYRFKUASkA8MDkVQFYE7Mdiau4aZmTMRm/rQGGNMFAhmVMI2nOGI3hT4HvgJGKuqmSGKK+q5EwPis2xEgjHGmKgRzKiEbmGMo8JxJwYad9BGJBhjjIkaNiVymLg7HxbGZtnkRsYYY6JGwImBiNwoIiXeUllE3hKRvqEJK/plZUG1alAjMYnTq58e6XCMMcaYgATTx+AeYHMpywuAe3HmMzjlZWU5QxVfvvzlSIdijDHGBCyYSwktgRWlLF8BnHVi4VQcWVlQvXqkozDGGGOCE0xiUBWnVaAkijNs0fB7YvDX+X/lgc8eiHQ4xhhjTECCuZSQAXQGXi1heWecIY0Gp/Nh9erw1favqFwpmMNsjDHGRE4wLQYzgX4iMqjoAhEZCPQDPghVYNHO3WKQV5BnoxKMMcZEjWC+yj4L9AHGisj9wEpX+bk4fQt+BJ4JbXjRy5MY5OfZPAbGGGOiRsAtBqp6COgEjAHSgP6uRz3gP0BHVc0qeQunFveoBGsxMMYYE02CuvitqgeBP4nI3UCqq3iP2h2CfBQWwqFDTotBeo10GiU3inRIxhhjTEDK1CvOlQjsDnEsFcbhw6DqJAZzb5kb6XCMMcaYgAUz8+HdIjK/lOWficgfQxNWdHPfJ8HmMTDGGBNtghmVcAewsZTlPwEDTyiaCsI7Mej+Vnde//b1yAZkjDHGBCiYxOAMYE0py9e56pzyvBODL7Z+wY6sHZENyBhjjAlQMIlBLJBQyvKE4yw/ZbgTg6pJ+RRogY1KMMYYEzWCSQx+AnqWsrwXpd9k6ZThTgwSqh51nitbvmSMMSY6BJMYvAP0EpGnRSTOXSgisSLyJE5iMC3UAUajgwedZ3diYBMcGWOMiRbBDFd8CegNjASGicgGV/mZQArwBfBiaMOLTu4Wg6Qk5aIGF1G/ev3IBmSMMcYEKODEQFWPiUgv4H6cGQ/Pcy36CWe65JeBmJBHGIXciUHD02ry1aCvIhuMMcYYE4RgLiWgqsdUdbSqtlHVqq7HecAi4BVgZ1iijDJZWVC1KsRYmmSMMSbKBJUYeBORFBG5T0RWAsuAu7DZEIHf75Pw454faf2f1izYsiDSIRljjDEBCToxEJHLRGQ6sAOn30E88CTQWlXPDHF8UengQWcOg4N5B1n721py8nMiHZIxxhgTkID6GIhIOs6shrcDDYA9wPs4fQ1GquoHYYovKnnfchlsuKIxxpjoUWqLgYjcIiILgE3AQ8By4FqgPvAEIOEOMBp5EoMCJzGw4YrGGGOixfFaDKYAW4ARwDuqute9QMRygpJkZUFa2u8tBjbzoTHGmGhxvD4GeUA60Ae4XESqhD2iCsDdYlCzSk16NOlBSpWUSIdkjDHGBOR4iUEaTmtBLZzWg10iMkFEumCXEUp08KAzKqHj6R2Zd9s8mqU0i3RIxhhjTEBKTQxU9YCqvqqq5wPtgLdx+hgsAr4EFEgOe5RRpLAQDh1yWgyMMcaYaBPwcEVV/V5V78ZpRbgN5zbLAONFZKWIjBKRVuEIMppkZ4OqkxhMWTWFxv9qzO5sm97BGGNMdAh6HgNVzVPVaap6KdAU+DtQE3gKWBXi+KKOezrk6tVhX84+Mg9kUrlSMLekMMYYYyKnzDMfAqhqpqo+htNB8QrglJ/PwDsx8AxXtFEJxhhjokRIvsqqqgKfuB6nNJ/EIN/mMTDGGBNdTqjFwBR38KDznJwMufm5xEgMMZXsbkrGGGOig138DjHvFoOWSS3pe1bfyAZkjDHGBMESgxDzTgxubXQrt55za2QDMsYYY4JglxJCzDsxMMYYY6KNJQYh5k4MkpLgj3P+SNuxbSMbkDHGGBOEiCYGIlJJRO4XkQ0ikisi20XkRRGpGsC6T4iIlvI4Vh77UNTBg5CYCJUrw4G8A2QfzY5EGMYYY0yZRLqPwUvAfcBM4EWgpev1eSLSQ1ULS1n3A5zbQRd1DvAAMCfEsQYkK8sZkQDOqASbw8AYY0w0iVhi4Jo++V7gA1W93qs8A3gFuAmYVtL6qroaWO1nu2NcP04IacABct9ZEZx5DBIqJ0QiDGOMMaZMInkp4WacOzS+XKR8HHAECLo7v+sSxE3Az0RosiWfxKAgzyb8HRz6AAAgAElEQVQ3MsYYE1UieSmhPVAILPMuVNVcEVnpWh6sfkB14BVVLTjxEIPnnRhc1vQyxO5ObYwxJopEMjGoB+xR1Tw/y3YAHUUkTlWPBrHNQTi3gn7zeBVFZCgwFKBhw4ZBvEXpPvwQjrm6Pf61819Dtl1jjDGmPETyUkIi4C8pAMj1qhMQEWkBdAYWqmrG8eqr6lhVbaeq7WrXrh3o2xxX7dpQr17INmeMMcaUq0gmBkeAki7AJ3jVCdQg1/P4MkcUYi1ebcHtH94e6TCMMcaYgEUyMdgJpIqIv+SgPs5lhoAuI4hIZWAAsBdn6ONJ4cixI8SI3UDJGGNM9IhkYvCt6/0v8C4UkQSgDbA8iG1dDdQB3i6hz0JE5OXbqARjjDHRJZKJwXScjoIjipQPwelbMNVdICJNReTMUrblvowQkbkLSpJXkGcTHBljjIkqERuVoKprROQ14B4R+QD4mN9nPlyC7+RGC4BGUHzsn4jUAy4HlqnqmrAHHgRrMTDGGBNtIj0l8gggE2fY4JXAHuDfwGPHmQ7Z2x1ADCdRp0O3Ye2G0blh50iHYYwxxgRMVDXSMURcu3btdPnyYLo0GGOMMdFLRL5T1Xb+ltltl8NEVTly7AiFATd8GGOMMZFniUGY7D6ym6rPVGXM8jHHr2yMMcacJCwxCJPcfGfyRru7ojHGmGhiiUGYWGJgjDEmGlliECaWGBhjjIlGlhiESc6xHMASA2OMMdHFEoMwSUtKY9TFozij1hmRDsUYY4wJWKQnOKqwGiY35OlLno50GMYYY0xQrMUgTHKO5fBb9m/kF+ZHOhRjjDEmYJYYhMnsH2dT54U6bNy7MdKhGGOMMQGzxCBMcvKt86ExxpjoY4lBmNhwRWOMMdHIEoMwscTAGGNMNLLEIEwsMTDGGBONLDEIk27p3Xj20meJrxwf6VCMMcaYgNk8BmFyYYMLubDBhZEOwxhjjAmKtRiEya+HfyXzQGakwzDGGGOCYolBmDy++HE6jO8Q6TCMMcaYoFhiECa5+blUqVwl0mEYY4wxQbHEIExy83NtRIIxxpioY4lBmFhiYIwxJhpZYhAmlhgYY4yJRjZcMUzuveBejhYcjXQYxhhjTFAsMQiTK5tfGekQjDHGmKDZpYQwWfvbWpvHwBhjTNSxxCBMrp9xPQ8veDjSYRhjjDFBscQgTKzzoTHGmGhkiUGY5ObnkhBjiYExxpjoYolBmFiLgTHGmGhkiUGYWGJgjDEmGtlwxTCZfM1kWqS2iHQYxhhjTFAsMQiTG8++MdIhGGOMMUGzxCAMjhYc5cttX3Jm6pnUS6oX6XCMCVpeXh779u3j0KFDFBQURDocY0wA4uLiSE1NJTk5+YS2Y4lBGOw5sodLJ1/KG1e+wR/b/THS4RgTlLy8PLZt20bNmjVJT08nNjYWEYl0WMaYUqgqOTk5/Pzzz8THx5OQUPY+btb5MAxy83MBrPOhiUr79u2jZs2apKamEhcXZ0mBMVFAREhMTCQ1NZXdu3ef0LYsMQgDd2JQJbZKhCMxJniHDh2ievXqkQ7DGFMGSUlJ5ObmntA2LDEIA2sxMNGsoKCA2NjYSIdhjCmDypUrk5+ff0LbsMQgDCwxMNHOLh8YE51C8bdriUEYnJl6JnNunsN5dc+LdCjGGGNMUGxUQhikVEnhquZXRToMY4wxJmjWYhAGP2f9zOwfZ3P46OFIh2KMOUlkZmYiIjzxxBNl3sYdd9xhl3lM2FliEAafb/2cPu/24ZdDv0Q6FGNMCUQk4EdmZmakwzWm3NilhDCwzofGnPymTJni8/qLL75g7NixDB06lIsvvthnWe3atU/4/Ro1akROTg6VK5f93+64ceN44403TjgWY0pjiUEYuBOD+MrxEY7EGFOSW2+91ed1fn4+Y8eO5aKLLiq2rKhDhw6RlJQU1PuJyAnNRgcQGxtrQ0lPUFl+d6cau5QQBjnHcgBrMTCmIkhPT6dbt26sWLGCyy67jOTkZM455xzA+ZAZNWoUHTp0IDU1lfj4eJo1a8Zf//pXjhw54rMdf30MvMs++ugj2rdvT0JCAmlpaTzwwAPFxqP762PgLjt48CDDhg3jtNNOIyEhgU6dOrF06dJi+7N3714GDhxIrVq1qFatGpdccgkrVqygW7dupKenB3RMXn/9dXr16kX9+vWJi4sjLS2NW2+9tcRLLosWLeLKK6+kVq1aJCQk0KRJEwYNGsSePXt86v33v/+lW7du1KhRg8TERFq0aMF9993H0aNHAZg0aRIiwuLFi4u9h7/4Q/W7A2fK4XHjxtGhQweqVatGtWrVaN26NY899hgAM2fOREQYN26c32PQqlUrmjVrhqqWdmhPCtZiEAZ2KcGYimXbtm1ccskl9OvXj+uvv57Dh52OxTt27GD8+PFcf/319O/fn8qVK7NkyRJGjx7NihUr+PTTTwPa/scff8zrr7/OXXfdxcCBA5k1axYvvPACNWvW5JFHHgloG5dddhm1a9fmscceY+/evfzzn//kyiuvJCMjw/MNOS8vjx49erBy5UruuOMOLrjgAlavXk2PHj1ISUkJ+Hi88MILXHjhhdx3332kpKSwdu1axo8fz8KFC1mzZg21atXy1B0zZgzDhg2jfv36DBs2jEaNGrFt2zbmzJnDzz//TGpqKgAjR47kmWee4ayzzuL+++8nLS2NzZs389///pennnqKuLi4gOPzFqrf3W233cbUqVPp0KEDI0eOpEaNGmzYsIH333+fp556iquvvpq6devy5ptvMmTIEJ91v/nmG9avX8/f//736Og8qqqn/KNt27YaSlsPbNWFWxZqYWFhSLdrTHlYv359icu6Tuxa7PHastdUVTX7aLbf5RNXTFRV1d3Zu/0uf3fNu6qquu3ANr/LZ2+YraqqG3ZvKLYslCZOnKiATpw40ae8UaNGCui4ceOKrZOXl6dHjx4tVj5q1CgFdOnSpZ6yjIwMBfTxxx8vVpaYmKgZGRme8sLCQm3VqpXWrVvXZ7u33367Ov+2i5cNGzbMp3zGjBkK6BtvvOEpe+211xTQv/3tbz513eWNGjUqti/+HD58uFjZ/PnzFdDnnnvOU7Z9+3aNi4vTli1b6v79+4utU1BQoKqqS5cuVUC7d++uOTk5PnUKCws9/0vdv6NFixYV21bXrl2LxR+q39306dMV0FtvvdUTc9F9UFV9+OGHFdB169b51Bk8eLDGxMTojh07ir1fOJT2N+wGLNcSPhPtUkIYNExuSPfG3aMjMzTGHFdKSgp33nlnsfK4uDjPNf/8/Hz279/Pnj176NGjB4Dfpnx/rrnmGp9mcBGhe/fu7Nq1y/MN93juv/9+n9eXXHIJABs3bvSUzZkzh5iYGIYPH+5Td/DgwUHdqrdq1aoAFBYWcvDgQfbs2cO5555LcnKyzz6/9957HD16lMcff5waNWoU206lSs5H0NSpUwH4xz/+UawfhntkSFmF4nfnju+FF17wxFx0HwCGDBmCiDBhwgRPWXZ2NtOnT6d3797Uq1evzPtRnuxSQhh88/M37Dy0k+taXhfpUIwJqcV3LC5xWWJsYqnLUxNTS11+evLppS5vkdqi1OXh1LRpU2JiYvwue/3113njjTdYt24dhYWFPsv2798f0PabNGlSrMzdHL93716qVasW9Da813fLyMigXr16xbYXFxdH48aNA4534cKFPPXUUyxdurTYDXu8t+FOSs47r/RZYDdu3IiIcO655wb0/sEIxe9u48aNpKWlUadOnVLfq3HjxvTo0YMpU6bw7LPPEhsby4wZMzh06BCDBw8+8Z0pJ9ZiEAbjvx/PvXPvjXQYxpgQSUxM9Fv+z3/+k7vvvpu0tDTGjBnD//3f/zFv3jwmTZoEUOzDpiQlfXABAXdWK2kbga4fqG+//ZZevXqxa9cunn32WWbNmsVnn33GvHnzqFWrVsD7XFQgLQOlLS/pxkHh/t0VNXToUHbv3s3s2bMBmDBhAnXr1uXKK68s0/YiwVoMwiA3P9c6HhpzCpgyZQrp6enMnTvXp0n5k08+iWBUJUtPT2f+/PkcPnzYp9Xg2LFjZGRk+G3uL2ratGkUFBQwd+5cGjdu7CnPzs4u1uLQvHlzAFauXOn52Z/mzZszd+5cVq1axQUXXFBiPXcHyX379hVblpGREdRQzmB+d82bN2fWrFn8+uuvx2016NOnD6eddhoTJkzg7LPP5n//+x8PPfTQCc1fUd6sxSAMLDEw5tQQExODiPh8K8/Pz+fZZ5+NYFQlu/rqqykoKOBf//qXT/m4ceM4ePBgQNtwt0wUbYl45plnin3L7tu3L3FxcTz55JNkZWUV25Z7G/379wfgkUce8QxN9FfPnVzMnz/fZ/k777zDzp07A4rfez8C/d3dcsstADz44IPF9rHocYiNjeWOO+7g008/5cknnwRg0KBBQcUWadGTwkSR3PxcqlSuEukwjDFh1rdvXx5++GF69+7NddddR1ZWFtOmTTtpJyEaPHgwY8aMYdSoUWzatMkzXHHGjBk0a9asxOZ4b9deey0vvfQSV1xxBUOHDiUuLo558+axevVqz9BDtwYNGvDyyy9z991307p1awYMGECjRo3YsWMHs2bN4s0336RNmzZccMEFPPTQQzz33HOcf/753HjjjdStW5eMjAzef/99li1bRo0aNWjRogU9evRgzJgxqCpt2rRh5cqVzJw5k2bNmnHs2LGAj0Uwv7t+/fpx4403MnnyZDZu3Mgf/vAHatasyU8//cSnn37K2rVrfeoPGTKE559/nnfeeYeuXbtyxhlnBBzXycASgzCwFgNjTg0PPPAAqsqECRMYPnw4devW5cYbb+TOO+/krLPOinR4xcTHx7NgwQIeeOABZs2axYwZM+jQoQMLFixg8ODBfif2KapTp07897//5emnn+bRRx+lSpUq9OjRgyVLltClS5di9YcNG0bTpk15/vnneeWVV8jLy6NevXpceumlnH766Z56zz77LOeeey6vvvoqo0ePprCwkNNPP50rrrjCp5/AlClTuPfee5k6dSpTpkzh4osvZtGiRQwbNiyoe1oE+7ubNm0aF198MRMmTOCpp54iJiaGxo0b069fv2J1mzVrRvfu3Vm4cGHUtRYASKg7pgT15iKVgOHAH4F0YDcwA3hMVbMD3EYK8AhwDdAAOASsdW3ji0C20a5dO12+fHnQ8Zdk877N5Bfm0yK1Rci2aUx5+eGHH2jZsmWkwzDlqKCggNTUVDp06HDS9o+INldccQVff/01O3fupEqV8m1BDuRvWES+U9V2/pZFusXgJeA+YCbwItDS9fo8EemhqqV2CxWRRsBioBowAfgJSAbOAeqHL+zSNU1pGqm3NsaYUuXk5BT7oHrjjTc4cOAAPXv2jFBUFcumTZv49NNP+dOf/lTuSUEoRCwxEJFWwL3AB6p6vVd5BvAKcBMw7TibeRtnH85R1ZPmHsdTV0+lTrU69GjSI9KhGGOMjyFDhpCbm0vHjh2Jj4/n66+/Ztq0aTRr1oyhQ4dGOryotnTpUn744QdeeeUV4uLi+POf/xzpkMokkqMSbgYEeLlI+TjgCFDq7c1EpAvQGRitqr+ISKyI+B+wWs4eX/w4k1ZOinQYxhhTTK9evdi+fTtPP/00I0aMYPHixQwePJgvv/zS7jp4gv7zn/8wcOBAsrKymDp1asA3pTrZRPJSQnugEFjmXaiquSKy0rW8NFe4nreJyBygNxAjIhuBp1T17VAHHCjrfGiMOVkNGDCAAQMGRDqMCmnSpEmeCZKiWSRbDOoBe1Q1z8+yHUCqiJR2Oy13z75xQApwOzAQOApMEZHik2N7EZGhIrJcRJbv3r07+OhLYYmBMcaYaBXJxCAR8JcUAOR61SmJu83rENBdVaeq6kTgYuAA8Ixr1INfqjpWVduparvatWsHGXrpLDEwxhgTrSKZGBwB4ktYluBVpyQ5rud3VNUzVZaq7gdmA3X5vVWh3KgqOfk5lhgYY4yJSpHsY7ATOEtE4v1cTqiPc5mh+NyYv/vZ9bzLzzL3CIWaJxhjmWy6dxNJ8daJxxhjTPSJZIvBt67397ljhogkAG2A48045O602MDPMnfZbycSYFmICI1rNiY1MfX4lY0xxpiTTCQTg+mAAiOKlA/B6Vsw1V0gIk1F5Mwi9T7E6V9wq4hU86qbhjML4k+quikcgZcm+2g2//jiH6zctbK839oYY4w5YRG7lKCqa0TkNeAeEfkA+JjfZz5cgu/kRguARjjzHrjX3y8ifwHGAN+IyJtAHDDM9XxvuexIEfty9vHIwkc4repptKnbJhIhGGOMMWUW6SmRRwCZwFDgSmAP8G+c+xyUOh0yOCMLRGQP8CDwNM68CF8D/VX1f+EKujS5+c6ACut8aIwxJhpF8lICqlqgqi+qagtVjVfV+qr6/1T1cJF66aoqJWzjA1W9UFWrqmqSqvaKVFIAlhgYY+CJJ55ARHzu9jdp0iREhMWLFwe0jfT0dLp16xaW+Lp16xa1s/KZ8ItoYlARWWJgjDkZvPzyyxViFj5T/iwxCDF3YlAlNvruqGWMCZ/bbruNnJwcunTpUi7vV1pi8Nlnn/Hjjz+WSxwm+kS6j0GFc2GDC/ntL79RPb56pEMxxpxEYmJiiImJiXQYAMTFlTbbvDmegoIC8vLySEw8Ke7bF3LWYhBisTGx1K5am/jKJU3qaIw5GcydOxcR4ZVXXvG7/KKLLqJ27docO3YMgGXLlnHHHXfQvHlzEhMTSUpKolOnTsycOTOg9yupj8H27du54YYbSE5Opnr16lx99dVs3rzZ7zamT5/OH/7wBxo2bEh8fDypqalcc801rF692qeeiLB161aWLFmCiHge7j4PJfUx+Pzzz+nZsyfJyclUqVKF888/nwkTJhSr515/586d3HzzzdSsWZPExEQuu+wyfvrpp4COx4YNG/jTn/5Eq1atSEpKIjExkbZt2zJ+/Hi/9bOyshg5ciQtW7YkISGBWrVq0blzZ959912fert27eK+++6jSZMmxMfHc9ppp9GzZ0/mzZvnqVNS/43FixcjIj4tLe7f2/z583n66adp2rQpCQkJzJgxA3BaX2688UaaNGlClSpVqFGjBr169WLJkiV+92PTpk3ceeedNGjQgLi4OOrVq0efPn347rvvADj33HNp2LAhhYXF+9+/9957iAiTJ08u9dieKGsxCLGVu1by3rr3GHHhCGpXDe09GIwxodOrVy/q1q3L5MmTue+++3yWbdy4kW+++Yb77ruP2NhYAGbOnMmGDRu44YYbaNSoEXv37uWtt97iuuuuY+rUqfTv3z/oGA4cOECXLl3Yvn07d911F2eddRZLliyhe/fu5OTkFKv/6quvUqtWLYYOHUrdunXZvHkzY8eOpVOnTnz//fecccYZAEyZMoX777+f1NRURo4c6Vm/tPvCzJkzh2uvvZa6devy5z//maSkJN59910GDx7Mli1b+Pvf/+5TPzs7my5dunDhhRfyzDPPkJGRwb/+9S/69OnD2rVrj9s6snjxYj7//HOuuuoqGjduTHZ2Nu+99x5Dhgxh9+7dPPzwwz7HqXPnzqxbt46+ffsybNgwCgoKWLFiBR999BE33XQTAJmZmXTq1Ilff/2VAQMG0K5dO7Kzs/nmm2+YP38+PXv2PP4vpQR/+ctfOHbsGEOGDKF69eq0aOHMuD9p0iT27dvHgAEDaNCgATt27GD8+PFceumlLFq0iIsvvtizjeXLl3PppZdy7NgxBg0axNlnn82+fftYsmQJX331FW3btmXIkCHce++9zJs3j8suu8wnhgkTJpCcnEy/fv3KvB8BUdVT/tG2bVsNlbdWvqU8gW7etzlk2zSmPK1fv95v+fDhql27nlyP4cNPbF//8pe/KKDr1q3zKR81apQC+t1333nKDh8+XGz97Oxsbd68ubZs2dKn/PHHH1dAMzIyPGUTJ05UQBctWuQpe/jhhxXQN99802f94cOHK6Bdu3b1KfcXw/r16zUuLk6HDRvmU96oUaNi67t17dpVGzVq5Hmdn5+vDRs21OTkZN2xY4enPC8vTzt27KiVKlXSn376yWd9QJ977jmf7Y4ePVoB/eSTT/y+7/H2paCgQLt27arVq1fXo0ePesqHDRumgI4ZM8bvOm69e/cu8f2965V0bBYtWqSATpw40VPm/r01b95cs7OzA9qPXbt2aa1atbR3796essLCQm3VqpXGx8frqlWrSoxv//79WqVKFe3Xr5/P8m3btmmlSpWK/Z79Kelv2BuwXEv4TLRLCSFmoxKMiR633347gE/TrKry9ttvc/bZZ3P++ed7yqtWrer5+ciRI+zdu5cjR45wySWX8MMPP5CVlRX0+3/44YfUqVOHAQMG+JQ/9NBDfuu7Y1BVsrKy2LNnD7Vr16ZFixYsXbo06Pd3++6779i2bRsDBw6kXr16nvK4uDgefPBBCgsLmTVrls86lSpVKtbScskllwBOi8vxeB/P3Nxc9u7dy759++jVqxdZWVls2LABgMLCQt59911atmzJ0KFDi22nUiXnY2zfvn188sknXH755cW+aXvXK6thw4b57VPgvR+HDx9m7969xMTE0KFDB5/fycqVK1m3bh133nkn55xzTonx1ahRgxtuuIFZs2axd+9ez/KJEydSWFjIoEGDTmg/AmGXEkLMEgNTUb38cqQjCD33h//UqVN55plnqFSpEp9//jmZmZmMHj3ap+5vv/3GqFGjmDVrFr/9Vvw2LAcOHKB69eA6HW/ZsoX27dsXa3ZPS0ujRo0axeqvWLGCRx99lMWLF5Odne2zrHHjxkG9t7eMjAwAWrVqVWyZu2zLli0+5fXq1SMhwff/XK1atQB8PtBKcvjwYZ544glmzJjB9u3biy3fv38/AHv27GH//v1cfvnlpW5v06ZNqCrnnXfecd+7LJo3b+63fPPmzYwcOZJPP/2UAwcO+CwT+X36HXeyFEh8Q4cO5a233mLKlCmMGDECVWXixIm0adOGtm3bnsBeBMYSgxCzxMCY6DJgwABGjBjBwoUL6dGjB5MnTyYmJoZbb73VU0dV6dWrFz/88APDhw+nXbt2JCcnExMTw8SJE5k2bZrfzmKhtG3bNrp06UL16tV59NFHadGiBVWrVkVEGDFiBIcPHz7+RkKotD4ETkt16fr3789HH33E0KFD6dKlC7Vq1SImJoaPP/6Yl156KazH0/sD21t+fn6J6/hrLTh8+DBdunQhOzubESNG0Lp1a5KSkqhUqRL/+Mc/WLhwYZni69ixI2effTYTJkxgxIgRLFiwgMzMTF599dUybS9YlhiEmDsxiI+xUQnGRIP+/fvzwAMPMHnyZDp16sT7779Pz549SUtL89RZvXo1q1at4rHHHuPJJ5/0Wb+kXvSBaNKkCRs3bqSgoMDng/aXX34p9u1z5syZHD58mNmzZ9O9e3efZXv37iU+3vd/TkkffiXFAbBu3bpiy9avX+9TJxQOHDjARx99xG233cYbb7zhs2z+/Pk+r1NTU6lZsyarVq0qdZvNmjVDRFi58vg3sEtJSWHfvn3Fyou2ihzPggUL2LlzJ2+++SZ33nmnz7JRo0b5vHa3OAQSH8CQIUMYPnw4y5YtY8KECSQkJHDLLbcEFV9ZWR+DEBvVZRRHHjlCTKWTY7yyMaZ0tWvXpnfv3nzwwQdMnTqVrKwsT98DN/eHdtFvwmvXrg14uKI/ffr04ddffy02/Oy5554rVrekGMaNG8euXbuK1a9WrZrfDz9/zj//fBo2bMjEiRN9tnXs2DGef/55RIQ+ffoEtK1AlLQvv/zyS7FEq1KlStx8882sX7/e79BJ9zZSUlLo3bs3c+fOLZZcFH2v5s2bs2HDBnbs2OEpy8vL47XXXgvJfnz22WfF+nyce+65tGrVijfffNNvAlZ0G7fddhsJCQk8//zzzJw5k+uvv97v5aVwsBaDEKsklWzWQ2OizO23387s2bP585//THJyMtdcc43P8pYtW9KqVStGjx7NkSNHaNGiBT/99BNjxoyhdevWnjHowXrwwQeZNm0aQ4YM4bvvvqNVq1YsXryYr7/+mtTUVJ+6vXv3JjExkdtuu4177rmHmjVr8r///Y+PP/6Ypk2bFmsGv/DCC5kwYQKPPvooLVu2pFKlSlx99dU+neXcYmJiePXVV7n22mtp3749Q4cOJSkpienTp/PNN9/wyCOPeIZChkJSUhK9evXi7bffpkqVKrRv356tW7cyZswYGjduXKyPwt/+9jcWLlzI4MGD+eyzz+jcuTOqyooVK8jPz2fKlCmAM5yzY8eO9O7dm9tvv522bduSk5PD0qVLSU9P9yRc99xzD++++y49evTgrrvu4ujRo0yZMiXoCYs6d+7sGd6ZmZlJgwYNWLlyJVOmTKF169asWbPGU1dEmDhxIpdeeikXXHCBZ7jigQMHWLJkCZdffjn33vv7TYFr1qxJ3759efvttwEYPHhwmY51mZQ0XOFUeoRyuOLU1VN15IKRIdueMeUtkKFOFU1eXp6mpKQooIMHD/ZbJzMzU/v27aupqalapUoVbd++vX7wwQd+hyYGOlxRVXXr1q16/fXXa1JSkiYlJelVV12lmzZt8jukbsmSJdqpUyetVq2aJicn6xVXXKFr1qwpNvxQVfXXX3/V6667TmvWrKki4hOPv/qqqosXL9YePXpoUlKSxsfHa5s2bXT8+PHF6pW0fkZGhgL6+OOP+z2G3nbv3q2DBg3StLQ0jY+P17PPPlvHjh1b4nHav3+/PvDAA9q0aVONjY3VlJQU7dy5s06fPt2n3s8//6x//OMf9fTTT9fY2Fg97bTTtGfPnjp//nyfepMmTdLmzZtrbGyspqen63PPPacLFiwocbhi0XjcVq1apZdddpnWqFFDq1Wrpl27dtXPP/9cb7/9dnU+Yn1t2LBBb3f+9koAAA9uSURBVLnlFq1Tp47GxsZqWlqa9unTx2dorNvnn3+ugDZr1kwLCwuPe0zdTnS4omgAnUQqunbt2uny5ctDsq2BswYyf8t8tt2/LSTbM6a8/fDDD7Rs2TLSYRhzylu2bBkdOnTgmWee8Znw6XgC+RsWke9UtZ2/ZdbHIMRy8nNsRIIxxpgT9uqrrxIbG1usY2O4WR+DEMvNz7XEwBhjTJlkZ2czZ84c1q1bx9tvv+2Z/ro8WWIQYpYYGGOMKavdu3dz8803U61aNfr27Vtsoq3yYIlBiKkqibEV81acxhhjwis9PT2gCaLCyRKDEPvk1k8iHYIxxhhTZtb50BhjjDEelhgYY4qJdFOmMaZsQvG3a4mBMcZHTEwMx44di3QYxpgyyM/Pp3LlE+slYImBMcZHUlISWVlZkQ7DGFMGhw4dKnY77GBZYmCM8ZGSksL+/fvZs2cPR48etcsKxkQBVeXIkSPs2bOH2rVrn9C2bFSCMcZHfHw8DRs2ZN++fWRmZlJQUBDpkIwxAYiPj6dOnTon3GJgiYExppj4+HjS0tJIS0uLdCjGmHJmlxKMMcYY42GJgTHGGGM8LDEwxhhjjIclBsYYY4zxsMTAGGOMMR6WGBhjjDHGwxIDY4wxxniIzWoGIrIb2HqCm0kF9oQgnIrCjocvOx7F2THxZcfDlx0PX6E+Ho1U1e8UiZYYhIiILFfVdpGO42Rhx8OXHY/i7Jj4suPhy46Hr/I8HnYpwRhjjDEelhgYY4wxxsMSg9AZG+kATjJ2PHzZ8SjOjokvOx6+7Hj4KrfjYX0MjDHGGONhLQbGGGOM8bDEwBhjjDEelhicABGpJCL3i8gGEckVke0i8qKIVI10bOEiIs1F5CkR+UZEdovIIRFZKSIji+63iDwhIlrC4y+R2odwKGU/D/up20JEPhSR/SKSLSJfiMglkYg7HI7ze1cRORZg3ag7R0TkYRF5T0S2uPYh8zj1O4jIfNffUZaIfCIibUqoW09EJrv+7nJEZLmI9AvLjoRIoMdDRBJEZIiIzBKRTNf+bRGRd0SkpZ/66aWcN2vDvmNlFMz5ISKTStnHvn7qx7v+N2eISJ6IbBaRUSISG2yclYNdwfh4CbgPmAm8CLR0vT5PRHqoamEkgwuTgcDdwGxgKnAM6A78DbhBRC5U1Zwi69xP8Yk5vgt3oBHwBcU7CB3zfiEiTYGvgHxgNHAQGAJ8KiK9VXV+eQQaZh8Am/yUnwM8AMzxs6yinCPPAPuA74EapVUUkQuBxcAO4DFX8T3AFyLSUVXXeNVNAb4ETgP+CfwM9AdmiMhAVZ0Y4v0IlUCPRzrO386XwARgJ9AEGAZcJyKXq+oiP+vNxDnfvB04wZjDKeDzw8ttfsqW+SmbDvQB3gS+Bi4CngaaAXcEFaWq2qMMD6AVUAj8t0j5vYAC/SMdY5j2ux2Q7Kf8b679vser7AlXWXqk4y6H46LApADqzQAKgDZeZdVwZt78EVeH4Ir4AMa4jtOVFfUcAZp4/bwWyCyl7jIgC6jvVVbfVfZZkbqjXcfpaq+yGNc29gLVIr3vJ3I8gFrefxNe5WcBecDyIuXpruPxRKT3MYznxyTnIzqg7V7hOh4vFil/0VXeMZg47VJC2d0MCPBykfJxwBHg1nKPqByo6nJVPehn0XTX89n+1hOR6iJS4VuoRCRORKqVsKwq8AdgsaqudJer6mFgPNAcaF8ugZYz177fhPNN95MS6kT9OaKqWwKpJyLNcH7X76nqDq/1dwDvAT1EpK7XKv2Bzao6x6tuAfBvIAXng+GkE+jxUNW93n8TXuXrcT5A/f5fAc9liMSyR1l+Aj0e3sRRXURK+7zu73ou+nnkfh3U55ElBmXXHqfFwKdJR1VzgZVU0H/wpWjgev7Vz7LVOE3muSLylYj0Lr+wylVfnKTwkIj8JiL/FpFkr+XnAPE4zXxFfeN6rqjnTT+gOk6rSoGf5afKOeLm/j2XdC4I0BZARNJwWhK+KaGu9/YqFNeHYRr+/68A/Bnnby5bnD5eT4lIfLkFWD4Ouh45IjJPRDr4qdMe2KGq270LXa93EuT5EdXZeYTVA/aoap6fZTuAjiISp6pHyzmuciciMcCjONfNp3ktOoBz3fArYD/QAhgB/J/ruuikcg41nJbhfNPbhPMBeAXO9eKuruvFh3HOGXDOj6LcZfXDHWiEDMJp0nyzSPmpdI54C+ZcOJXPm7twEoOni5QXAguBD3Euw9UGbsD5P3SRq0+CvwQ0muzC6cf2HZANnIvzt/GFiFyhvv2R6gHrS9jODn7/4hYQSwzKLhHn2pc/uV51KnxigNNcdRHwiKr+6C5U1aLNWojImzhNgy+JyPuuD8yop6pFs/jJIrIa+Dsw3PXsbu70d954nzMVioi0ADoDC1Q1w3vZqXSOFBHMuXCqnjcdcTparsLptOehqtuAS4usMkFExuJ05r0Jp3N01FLVvxYp+lBEpuG0SP8HOMNr2fE+j4I6P+xSQtkdwWkW9ifBq06FJiJP43wzHquq/zhefVXdC7yB0yO3Y5jDi7TncRLDK12v3eeDv/OmIp8zg1zP4wOpfIqcI8GcC6fceSMibYH/w2kGv9J1iTYQf3c9X1lqrSilqhtxOjA3E5HmXouO93kU1PlhiUHZ7QRSS7ieVR/nMkOFbi0QkSeAUcBEnCa/QGW6nlNDHNJJRVWP4TpPXEU7Xc/+mn3dZf6ai6OWqzPhAJye8zODWDXT9VxRz5FgzoVT6rwRkfOBeTjX1bt7d84MwHacUT8V9bwB/38bOyn5clJ9gjw/LDEou29xjt8F3oUikgC0AZZHIqjy4koKHgfeAgara2xMgNxNYCV1KKoQXOdCA37fzzU4zX0X+al+oeu5op03VwN1gLdL6I9Tkop+jnzrei7pXFBc8zio6i84/9gvLKEuVJDzxpUUzAcO4SQFW4PcRBOcYZwV9bwB/38b3wL1ReR074qu1/UI8vywxKDspuP88Y4oUj4E53pOVF/fKo2IPIaTFEwBBqqfiZxEpHKRHvnu8tNxJi3Zi9PhLOqJSK0SFj2N049nDniGJc4BuonIuV7rVwMGAxvxP3FJNHNfRphQdMGpdI4UpaqbcP5Z9xMRd+dCXD/3Axaq6i6vVd4BmorI1V51Y3DmTTkAfFwugYeRiJyH01JwGCcpyCilbrG/OdcIhr+5XvqbRCtqiEhV1xeLouXn4ZwfP6jqZq9F77iei34euV8H9Xlkd1c8ASLyb5zr6zNx/jDdMx/+D7jE3wdmtBORu4FXgW04PYCL7uOvqjpPRGoAGTi9hn/g9x7ng3Em9LlZVd8rt8DDSERewvnmtgjnuFTDGZXQHViK808ux1W3Gc6H/zGcHsdZOMlka5xrqZ+W+w6EietDbhvwnZ/OmVTEc0REbgMauV7eC8ThTDIDsFVVp3jV7YhzzvyMMx+Be506QCdVXeVVtxZOC0ItnA55O3DmUumG02JXLPE6GQR6PESkEc7+pQBPApspbqaqZrvqf4Az+ucrnMsHqcD1OEM8ZwHXnYz/f4M4Hm2AuTh/Gxv5fVTCQJz/ub1U9csi254DXIWThLtnPhyE01rnb/bEkpXXjE8V8YHTZPVnnBnr8nD+WP/JSToLWYj2eRJOS0lJj8WuevE4nc3W4PzDPwb8ArwPXBDp/QjxMekDfOr6/ee6/ohXAo8ACX7qt8T553UAp1PQl0CPSO9HGI7LI65zYkgJyyvcOYIzxXGpfxtF6l8ELMD5lnzIdR6dX8K26+O00u1xnWffAzdGep9DcTxwEpzS/q/4zI6J84G3GGdI31HXsfsG+BNQKdL7HYLjUdf1u96A8+XhGE6S/RZwZgnbTsBpMcnE+TzagvPlLTbYOK3FwBhjjDEe1sfAGGOMMR6WGBhjjDHGwxIDY4wxxnhYYmCMMcYYD0sMjDHGGONhiYExxhhjPCwxMMYYY4yHJQbGmKghIotFJDPScRhTkVliYMwpTkS6iYiW8siPdIzGmPJTOdIBGGNOGu/g/2Y8J92c88aY8LHEwBjj9r2qvh3pIIwxkWWXEowxARGRdNelhSdE5GYRWS0iuSKyzVVW7IuGiJwjIjNFZK+r7noRedB1y+CideuKyCsiskVE8kTkNxGZJyI9/dStJyLviMh+ETkiIp+KSPMidRJccf3oqnNARNaIyPOhPTLGVCzWYmCMcUsUkVQ/5UdVNcvr9R+AJsBrOHe3+wPwOM7tZO90VxKRdsASnDvDueteDTyHcwvZW7zqpuPcrrwOMBlYDlTFuZ11D2Ce1/tXBT7HuZveI0BjYDgwS0TOVtUCV73XcG5TOxnnrqeVgTOASwI+Isacguzuisac4kSkG7ColCr/p6pXuT68M3D6HLRX1e9d6wvwAXANcJGqfuMq/x/QAec2wqu96k4H+uHcanqBq/xjoDdwuap+WiS+Sqpa6Pp5MdAVeEhVR3vVeQAY7b2+iOwDvlHVK8p2ZIw5NdmlBGOM21igp5/HyCL15rmTAgB1vl24P6SvBRCR04COwGx3UuBV9+9F6qYAlwOfFE0KXOsU7fxYCLxSpGyh6/kMr7KDQCsRObuE/TXG+GGXEowxbhtVdX4A9X7wU7be9dzE9dzY9byuhPULveo2AwRYEWCcO1U1t0jZXtdzLa+yEcAUYI2IbMFpFZkDzPGTbBhjXKzFwBgTbQpKWSbuH1R1FpAO3IbTonAp8CGwWETiwhmgMdHMEgNjTLBa+ik7y/W8xfWc4Xpu5afumTj/e9x1NwEKtAlVgG6quk9V31bVITgtFKOBi4E+oX4vYyoKSwyMMcHqKSLnu1+4OhQ+6Hr5IYCq/gZ8BVztfY3fVfdh18uZrrr7gLlAbxHpUfTNXOsERURiRKSGd5mrf4P7ckVKsNs05lRhfQyMMW7ni8itJSz70OvnVcBCEXkN+AXn23cPYIqqfu1VbzjOcMUvXHV3AVcBlwHT3CMSXO7BSSTmishbwHdAFZxRDZnAQ0HuSxLwi4jMxkkGfsPp9zAM2I/T18AY44clBsYYt5tdD3/OANz3TJgN/Ijzzb8Fzofu066Hh6ouF5GOwJPAn3DmH9iC8yH/YpG6Ga55Dx4FrgAG4HyAr8IZLRGsI8DLOP0KegDVcJKY2cA/VHVnGbZpzCnB5jEwxgTEax6DJ1X1iYgGY4wJG+tjYIwxxhgPSwyMMcYY42GJgTHGGGM8rI+BMcYYYzysxcAYY4wxHpYYGGOMMcbDEgNjjDHGeFhiYIwxxhgPSwyMMcYY42GJgTHGGGM8/j+AjtV58Np4uQAAAABJRU5ErkJggg==\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "from google.colab import files\n", "loss_train = history.history['loss']\n", "loss_val = history.history['val_loss']\n", "epochs = range(1,151)\n", "plt.figure(figsize=(8,6))\n", "plt.plot(epochs, loss_train, 'g--', label='Training loss')\n", "plt.plot(epochs, loss_val, 'b', label='validation loss')\n", "#plt.title('Training and Validation accuracy')\n", "plt.xlabel('Epochs',fontsize=18)\n", "plt.ylabel('Loss',fontsize=18)\n", "plt.legend()\n", "plt.savefig('loss_CK+_2013.png')\n", "files.download(\"loss_CK+_2013.png\")\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 404 }, "id": "nbzD33JCu_yO", "outputId": "67dc3fe5-4b04-4c33-9d64-d90b1ea07baf" }, "execution_count": 23, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "" ], "metadata": { "id": "xUiUdCHElx5g" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "P8qrKxXu_4Jg" }, "source": [ "model.load_weights('/content/drive/My Drive/fer_new_vgg/PeerJ_CK+_seed_5.hdf5') " ], "execution_count": 21, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "988SDaJt6I5s" }, "source": [ "predictions = model.predict(test_generator, steps=test_sample//batch_size, verbose=0)" ], "execution_count": 24, "outputs": [] }, { "cell_type": "code", "source": [ "" ], "metadata": { "id": "YxQKjklDzJaw" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "cm_plot_labels = ['AN',\n", " 'DI',\n", " 'FE',\n", " 'HA',\n", " 'NE',\n", " 'SA',\n", " 'SU']\n", "from sklearn.metrics import confusion_matrix\n", "import seaborn as sns\n", "\n", "cm = confusion_matrix(test_generator.classes, predictions.argmax(axis=1))\n", "# Normalise\n", "cmn = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n", "\n", "fig, ax = plt.subplots(figsize=(10,6))\n", "p=sns.heatmap(cmn, annot=True, fmt='.2f', xticklabels=cm_plot_labels, yticklabels=cm_plot_labels)\n", "p.set_xticklabels(p.get_xmajorticklabels(), fontsize = 18)\n", "p.set_yticklabels(p.get_ymajorticklabels(), fontsize = 18)\n", "plt.ylabel('Actual', fontsize=18)\n", "plt.xlabel('Predicted', fontsize=18)\n", "plt.savefig('conf_CK+_2013.png')\n", "files.download(\"conf_CK+_2013.png\")\n", "plt.show(block=False)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 411 }, "id": "wrfJDfhhliEB", "outputId": "716b6996-c8a7-49bd-aaae-b9436e00e40f" }, "execution_count": 25, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_8a8889cc-b16a-4619-afa1-1a4cf5b86922\", \"conf_CK+_2013.png\", 34860)" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "from sklearn.metrics import classification_report\n", "print(classification_report(test_generator.classes, predictions.argmax(axis=1),target_names=cm_plot_labels,digits=4))" ], "metadata": { "id": "BilB_6uybMkj", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "3aef2d7a-dbd6-4ddb-96e1-3765ab8258b0" }, "execution_count": 26, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " precision recall f1-score support\n", "\n", " AN 1.0000 0.7778 0.8750 9\n", " DI 1.0000 0.9091 0.9524 11\n", " FE 0.6250 1.0000 0.7692 5\n", " HA 1.0000 1.0000 1.0000 13\n", " NE 1.0000 1.0000 1.0000 65\n", " SA 0.6667 0.8000 0.7273 5\n", " SU 1.0000 0.9375 0.9677 16\n", "\n", " accuracy 0.9597 124\n", " macro avg 0.8988 0.9178 0.8988 124\n", "weighted avg 0.9714 0.9597 0.9622 124\n", "\n" ] } ] } ] }