mirror of
https://github.com/BKHMSI/Sketchback.git
synced 2024-08-16 17:50:41 +03:00
1211 lines
702 KiB
Plaintext
Executable File
1211 lines
702 KiB
Plaintext
Executable File
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Using TensorFlow backend.\n"
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]
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}
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],
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"source": [
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"from __future__ import print_function\n",
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"import numpy as np\n",
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"import pandas as pd \n",
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"import cv2 as cv\n",
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"import os\n",
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"import h5py\n",
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"import matplotlib.pyplot as plt\n",
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"import scipy.misc\n",
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"import scipy.ndimage\n",
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"\n",
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"from tqdm import tqdm\n",
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"from copy import deepcopy\n",
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"from sklearn.preprocessing import StandardScaler\n",
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"from scipy.misc import imresize\n",
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"from keras.models import Sequential, Model\n",
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"from keras.layers import Input, Dense, Conv2D, MaxPooling2D, UpSampling2D, ZeroPadding2D, Convolution2D, Deconvolution2D, merge\n",
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"from keras.layers.core import Activation, Dropout, Flatten, Lambda\n",
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"from keras.layers.normalization import BatchNormalization\n",
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"from keras.optimizers import SGD, Adam, Nadam\n",
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"from keras.utils import np_utils, plot_model\n",
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"from keras.callbacks import TensorBoard\n",
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"from keras import objectives, layers\n",
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"from keras.applications import vgg16\n",
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"from keras.applications.vgg16 import preprocess_input\n",
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"from keras import backend as K\n",
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"\n",
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"np.random.seed(1337) # for reproducibility"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# CelebA Faces: 72x88 200K Images\n",
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"# ZuBuD Buildings: 120x160 3K Images\n",
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"# CUHK Faces: 80x112 88 Images\n",
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"\n",
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"m = 205\n",
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"n = 282\n",
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"sketch_dim = (m,n)\n",
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"img_dim = (m,n,3)\n",
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"num_images = 3000\n",
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"num_epochs = 20\n",
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"batch_size = 5\n",
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"file_names = []\n",
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"\n",
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"CelebA_SKETCH_PATH = '/home/balkhamissi/Desktop/Project/CelebA_Sketch'\n",
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"CelebA_IMAGE_PATH = '/home/balkhamissi/Desktop/Project/img_align_celeba'\n",
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"\n",
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"BUILDING_SKETCH_PATH = '/home/balkhamissi/Desktop/Project/ZuBuD_Sketch_Aug'\n",
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"BUILDING_IMAGE_PATH = '/home/balkhamissi/Desktop/Project/ZuBuD_Aug'\n",
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"\n",
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"CUHK_SKETCH_PATH = '/home/balkhamissi/Desktop/Project/CUHK_Sketch'\n",
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"CUHK_IMAGE_PATH = '/home/balkhamissi/Desktop/Project/CUHK'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/balkhamissi/anaconda3/lib/python2.7/site-packages/ipykernel_launcher.py:2: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=Tensor(\"bl..., inputs=Tensor(\"in...)`\n",
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" \n"
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]
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}
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],
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"source": [
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"base_model = vgg16.VGG16(weights='imagenet', include_top=False)\n",
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"vgg = Model(input=base_model.input, output=base_model.get_layer('block2_conv2').output)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def load_file_names(path):\n",
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" return os.listdir(path)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def sub_plot(x,y,z):\n",
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" fig = plt.figure()\n",
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" a = fig.add_subplot(1,3,1)\n",
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" imgplot = plt.imshow(x, cmap='gray')\n",
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" a.set_title('Sketch')\n",
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" plt.axis(\"off\")\n",
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" a = fig.add_subplot(1,3,2)\n",
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" imgplot = plt.imshow(z)\n",
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" a.set_title('Prediction')\n",
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" plt.axis(\"off\")\n",
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" a = fig.add_subplot(1,3,3)\n",
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" imgplot = plt.imshow(y)\n",
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" a.set_title('Ground Truth')\n",
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" plt.axis(\"off\")\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def imshow(x, gray=False):\n",
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" plt.imshow(x, cmap='gray' if gray else None)\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def get_batch(idx, X = True, Y = True, W = True, dataset='zubud'):\n",
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" \n",
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" global file_names\n",
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"\n",
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" X_train = np.zeros((batch_size, m, n), dtype='float32')\n",
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" Y_train = np.zeros((batch_size, m, n, 3), dtype='float32')\n",
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" F_train = None\n",
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" \n",
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" if dataset == 'zubud':\n",
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" x_path = BUILDING_SKETCH_PATH\n",
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" y_path = BUILDING_IMAGE_PATH\n",
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" elif dataset == 'cuhk':\n",
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" x_path = CUHK_SKETCH_PATH\n",
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" y_path = CUHK_IMAGE_PATH\n",
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" else:\n",
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" x_path = CelebA_SKETCH_PATH\n",
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" y_path = CelebA_IMAGE_PATH\n",
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" \n",
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" if len(file_names) == 0:\n",
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" file_names = load_file_names(x_path)\n",
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" \n",
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" if X:\n",
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" # Load Sketches\n",
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" for i in range(batch_size):\n",
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" file = os.path.join(x_path, file_names[i+batch_size*idx])\n",
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" img = cv.imread(file,0)\n",
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" img = imresize(img, sketch_dim)\n",
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" img = img.astype('float32')\n",
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" X_train[i] = img / 255.\n",
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" \n",
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" if Y:\n",
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" # Load Ground-truth Images\n",
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" for i in range(batch_size):\n",
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" file = os.path.join(y_path, file_names[i+batch_size*idx])\n",
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" img = cv.imread(file)\n",
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" img = imresize(img, img_dim)\n",
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" if dataset != 'zubud':\n",
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" img = cv.cvtColor(img, cv.COLOR_BGR2RGB)\n",
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" img = img.astype('float32')\n",
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" Y_train[i] = img / 255.\n",
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" \n",
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" if W:\n",
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" F_train = get_features(Y_train)\n",
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" \n",
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" X_train = np.reshape(X_train, (batch_size, m, n, 1))\n",
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" return X_train, Y_train, F_train"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def get_features(Y):\n",
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" Z = deepcopy(Y)\n",
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" Z = preprocess_vgg(Z)\n",
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" features = vgg.predict(Z, batch_size = 5, verbose = 0)\n",
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" return features"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def preprocess_vgg(x, data_format=None):\n",
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" if data_format is None:\n",
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" data_format = K.image_data_format()\n",
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" assert data_format in {'channels_last', 'channels_first'}\n",
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" x = 255. * x\n",
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" if data_format == 'channels_first':\n",
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" # 'RGB'->'BGR'\n",
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" x = x[:, ::-1, :, :]\n",
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" # Zero-center by mean pixel\n",
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" x[:, 0, :, :] = x[:, 0, :, :] - 103.939\n",
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" x[:, 1, :, :] = x[:, 1, :, :] - 116.779\n",
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" x[:, 2, :, :] = x[:, 2, :, :] - 123.68\n",
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" else:\n",
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" # 'RGB'->'BGR'\n",
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" x = x[:, :, :, ::-1]\n",
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" # Zero-center by mean pixel\n",
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" x[:, :, :, 0] = x[:, :, :, 0] - 103.939\n",
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" x[:, :, :, 1] = x[:, :, :, 1] - 116.779\n",
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" x[:, :, :, 2] = x[:, :, :, 2] - 123.68\n",
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" return x"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def feature_loss(y_true, y_pred):\n",
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" return K.sqrt(K.mean(K.square(y_true - y_pred)))\n",
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"\n",
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"def pixel_loss(y_true, y_pred):\n",
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" return K.sqrt(K.mean(K.square(y_true - y_pred))) + 0.00001*total_variation_loss(y_pred)\n",
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"\n",
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"def adv_loss(y_true, y_pred):\n",
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" return K.mean(K.binary_crossentropy(y_pred, y_true), axis=-1)\n",
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"\n",
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"def total_variation_loss(y_pred):\n",
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" if K.image_data_format() == 'channels_first':\n",
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" a = K.square(y_pred[:, :, :m - 1, :n - 1] - y_pred[:, :, 1:, :n - 1])\n",
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" b = K.square(y_pred[:, :, :m - 1, :n - 1] - y_pred[:, :, :m - 1, 1:])\n",
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" else:\n",
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" a = K.square(y_pred[:, :m - 1, :n - 1, :] - y_pred[:, 1:, :n - 1, :])\n",
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" b = K.square(y_pred[:, :m - 1, :n - 1, :] - y_pred[:, :m - 1, 1:, :])\n",
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" return K.sum(K.pow(a + b, 1.25))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
|
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"def preprocess_VGG(x, dim_ordering='default'):\n",
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" if dim_ordering == 'default':\n",
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" dim_ordering = K.image_dim_ordering()\n",
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" assert dim_ordering in {'tf', 'th'}\n",
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" # x has pixels intensities between 0 and 1\n",
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" x = 255. * x\n",
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" norm_vec = K.variable([103.939, 116.779, 123.68])\n",
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" if dim_ordering == 'th':\n",
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" norm_vec = K.reshape(norm_vec, (1,3,1,1))\n",
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" x = x - norm_vec\n",
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" # 'RGB'->'BGR'\n",
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" x = x[:, ::-1, :, :]\n",
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" else:\n",
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" norm_vec = K.reshape(norm_vec, (1,1,1,3))\n",
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" x = x - norm_vec\n",
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" # 'RGB'->'BGR'\n",
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" x = x[:, :, :, ::-1]\n",
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" return x"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
|
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"def generator_model(input_img):\n",
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"\n",
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" # Encoder\n",
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" x = Conv2D(32, (3, 3), activation='relu', padding='same')(input_img)\n",
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" x = Conv2D(32, (2, 2), activation='relu', padding='same')(x)\n",
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" x = MaxPooling2D((2, 2), padding='same')(x)\n",
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"\n",
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" x = Conv2D(64, (3, 3), activation='relu', padding='same', name='block2_conv1')(x)\n",
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" x = Conv2D(64, (2, 2), activation='relu', padding='same')(x)\n",
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" x = MaxPooling2D((2, 2), padding='same')(x)\n",
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"\n",
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" x = Conv2D(128, (3, 3), activation='relu', padding='same', name='block3_conv1')(x)\n",
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" x = Conv2D(128, (3, 3), activation='relu', padding='same')(x)\n",
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" x = MaxPooling2D((2, 2), padding='same')(x)\n",
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"\n",
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" x = Conv2D(256, (3, 3), activation='relu', padding='same', name='block4_conv1')(x)\n",
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" res = Conv2D(256, (3, 3), activation='relu', padding='same')(x)\n",
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" x = layers.add([x, res])\n",
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" res = Conv2D(256, (3, 3), activation='relu', padding='same')(x)\n",
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" encoded = layers.add([x, res])\n",
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"\n",
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" # Decoder\n",
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" res = Conv2D(256, (3, 3), activation='relu', padding='same', name='block5_conv1')(encoded)\n",
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" x = layers.add([encoded, res])\n",
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" res = Conv2D(256, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
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" res = Conv2D(256, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
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"\n",
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" x = Conv2D(128, (2, 2), activation='relu', padding='same', name='block6_conv1')(x)\n",
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" x = UpSampling2D((2, 2))(x)\n",
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"\n",
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" x = Conv2D(128, (3, 3), activation='relu', padding='same', name='block7_conv1')(x)\n",
|
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" res = Conv2D(128, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
|
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" res = Conv2D(128, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
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"\n",
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" x = Conv2D(64, (2, 2), activation='relu', padding='same', name='block8_conv1')(x)\n",
|
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" x = UpSampling2D((2, 2))(x)\n",
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"\n",
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" x = Conv2D(64, (3, 3), activation='relu', padding='same', name='block9_conv1')(x)\n",
|
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" res = Conv2D(64, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
|
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" res = Conv2D(64, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
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"\n",
|
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" x = Conv2D(32, (2, 2), activation='relu', padding='same', name='block10_conv1')(x)\n",
|
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" x = UpSampling2D((2, 2))(x)\n",
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"\n",
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" x = Conv2D(32, (3, 3), activation='relu', padding='same', name='block11_conv1')(x)\n",
|
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" res = Conv2D(32, (3, 3), activation='relu', padding='same')(x)\n",
|
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" x = layers.add([x, res])\n",
|
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" decoded = Conv2D(3, (3, 3), activation='sigmoid', padding='same')(x)\n",
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" \n",
|
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" return decoded"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
|
|
"def generator_model_2(input_img):\n",
|
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" x = Convolution2D(32, (9, 9), padding=\"same\", strides=(1,1))(input_img)\n",
|
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" x = BatchNormalization(axis=1)(x)\n",
|
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" x = Activation(\"relu\")(x)\n",
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" \n",
|
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" x = Convolution2D(64, (3, 3), padding=\"same\", strides=(2,2))(x)\n",
|
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" x = BatchNormalization(axis=1)(x)\n",
|
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" x = Activation(\"relu\")(x)\n",
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" \n",
|
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" x = Convolution2D(128, (3, 3), padding=\"same\", strides=(2,2))(x)\n",
|
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" x = BatchNormalization(axis=1)(x)\n",
|
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" x = Activation(\"relu\")(x)\n",
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" \n",
|
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" # then 5 res blocks\n",
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" \n",
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" r = Convolution2D(128, (3, 3), padding=\"same\")(x)\n",
|
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" r = BatchNormalization(axis=1)(r)\n",
|
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" r = Activation(\"relu\")(r)\n",
|
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" r = Convolution2D(128, (3, 3), padding=\"same\")(r)\n",
|
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" r = BatchNormalization(axis=1)(r)\n",
|
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" r = Activation(\"relu\")(r)\n",
|
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" # Merge residual and identity\n",
|
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" x = merge([x, r], mode='sum', concat_axis=1)\n",
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" \n",
|
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" r = Convolution2D(128, (3, 3), padding=\"same\")(x)\n",
|
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" r = BatchNormalization(axis=1)(r)\n",
|
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" r = Activation(\"relu\")(r)\n",
|
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" r = Convolution2D(128, (3, 3), padding=\"same\")(r)\n",
|
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" r = BatchNormalization(axis=1)(r)\n",
|
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" r = Activation(\"relu\")(r)\n",
|
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" # Merge residual and identity\n",
|
|
" x = merge([x, r], mode='sum', concat_axis=1)\n",
|
|
" \n",
|
|
" r = Convolution2D(128, (3, 3), padding=\"same\")(x)\n",
|
|
" r = BatchNormalization(axis=1)(r)\n",
|
|
" r = Activation(\"relu\")(r)\n",
|
|
" r = Convolution2D(128, (3, 3), padding=\"same\")(r)\n",
|
|
" r = BatchNormalization(axis=1)(r)\n",
|
|
" r = Activation(\"relu\")(r)\n",
|
|
" # Merge residual and identity\n",
|
|
" x = merge([x, r], mode='sum', concat_axis=1)\n",
|
|
" \n",
|
|
" r = Convolution2D(128, (3, 3), padding=\"same\")(x)\n",
|
|
" r = BatchNormalization(axis=1)(r)\n",
|
|
" r = Activation(\"relu\")(r)\n",
|
|
" r = Convolution2D(128, (3, 3), padding=\"same\")(r)\n",
|
|
" r = BatchNormalization(axis=1)(r)\n",
|
|
" r = Activation(\"relu\")(r)\n",
|
|
" # Merge residual and identity\n",
|
|
" x = merge([x, r], mode='sum', concat_axis=1)\n",
|
|
" \n",
|
|
" r = Convolution2D(128, (3, 3), padding=\"same\")(x)\n",
|
|
" r = BatchNormalization(axis=1)(r)\n",
|
|
" r = Activation(\"relu\")(r)\n",
|
|
" r = Convolution2D(128, (3, 3), padding=\"same\")(r)\n",
|
|
" r = BatchNormalization(axis=1)(r)\n",
|
|
" r = Activation(\"relu\")(r)\n",
|
|
" # Merge residual and identity\n",
|
|
" x = merge([x, r], mode='sum', concat_axis=1)\n",
|
|
" \n",
|
|
" # the 2 deconv blocks\n",
|
|
" x = Deconvolution2D(64, (3, 3), output_shape=(batch_size, m/2, n/2, 64), padding='same', strides=(2,2))(x)\n",
|
|
" x = BatchNormalization(axis=1)(x)\n",
|
|
" x = Activation(\"relu\")(x)\n",
|
|
" \n",
|
|
" x = Deconvolution2D(32, (3, 3), output_shape=(batch_size, m/2, n/2, 32), padding='same', strides=(2,2))(x)\n",
|
|
" x = BatchNormalization(axis=1)(x)\n",
|
|
" x = Activation(\"relu\")(x)\n",
|
|
"\n",
|
|
" # final conv block\n",
|
|
" x = Convolution2D(3, (9, 9), padding=\"same\", strides=(1,1))(x)\n",
|
|
" x = BatchNormalization(axis=1)(x)\n",
|
|
" x = Activation(\"sigmoid\")(x)\n",
|
|
" \n",
|
|
" return x"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def discriminator_model(img_input):\n",
|
|
" \n",
|
|
" x = Conv2D(64, (3, 3), activation='relu', padding='same', name='d_block1_conv1')(img_input)\n",
|
|
" x = Conv2D(64, (3, 3), activation='relu', padding='same', name='d_block1_conv2')(x)\n",
|
|
" x = MaxPooling2D((2, 2), strides=(2, 2), name='d_block1_pool')(x)\n",
|
|
"\n",
|
|
" # Block 2\n",
|
|
" x = Conv2D(128, (3, 3), activation='relu', padding='same', name='d_block2_conv1')(x)\n",
|
|
" x = Conv2D(128, (3, 3), activation='relu', padding='same', name='d_block2_conv2')(x)\n",
|
|
" x = MaxPooling2D((2, 2), strides=(2, 2), name='d_block2_pool')(x)\n",
|
|
"\n",
|
|
" # Block 3\n",
|
|
" x = Conv2D(256, (3, 3), activation='relu', padding='same', name='d_block3_conv1')(x)\n",
|
|
" x = Conv2D(256, (3, 3), activation='relu', padding='same', name='d_block3_conv2')(x)\n",
|
|
" x = Conv2D(256, (3, 3), activation='relu', padding='same', name='d_block3_conv3')(x)\n",
|
|
" x = MaxPooling2D((2, 2), strides=(2, 2), name='d_block3_pool')(x)\n",
|
|
"\n",
|
|
" # Block 4\n",
|
|
" x = Conv2D(512, (3, 3), activation='relu', padding='same', name='d_block4_conv1')(x)\n",
|
|
" x = Conv2D(512, (3, 3), activation='relu', padding='same', name='d_block4_conv2')(x)\n",
|
|
" x = Conv2D(512, (3, 3), activation='relu', padding='same', name='d_block4_conv3')(x)\n",
|
|
" x = MaxPooling2D((2, 2), strides=(2, 2), name='d_block4_pool')(x)\n",
|
|
"\n",
|
|
" # Block 5\n",
|
|
" x = Conv2D(512, (3, 3), activation='relu', padding='same', name='d_block5_conv1')(x)\n",
|
|
" x = Conv2D(512, (3, 3), activation='relu', padding='same', name='d_block5_conv2')(x)\n",
|
|
" x = Conv2D(512, (3, 3), activation='relu', padding='same', name='d_block5_conv3')(x)\n",
|
|
" x = MaxPooling2D((2, 2), strides=(2, 2), name='d_block5_pool')(x)\n",
|
|
" \n",
|
|
" x = Flatten(name='flatten')(x)\n",
|
|
" x = Dense(512, activation='relu', name='d_fc1')(x)\n",
|
|
" x = Dropout(0.5)(x)\n",
|
|
" x = Dense(1, activation='relu', name='d_fc2')(x)\n",
|
|
" model = Model(input=img_input, output=x)\n",
|
|
" \n",
|
|
" return model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def feat_model(img_input):\n",
|
|
" # extract vgg feature\n",
|
|
" vgg_16 = vgg16.VGG16(include_top=False, weights='imagenet', input_tensor=None)\n",
|
|
" # freeze VGG_16 when training\n",
|
|
" for layer in vgg_16.layers:\n",
|
|
" layer.trainable = False\n",
|
|
" \n",
|
|
" vgg_first2 = Model(input=vgg_16.input, output=vgg_16.get_layer('block2_conv2').output)\n",
|
|
" Norm_layer = Lambda(preprocess_VGG)\n",
|
|
" x_VGG = Norm_layer(img_input)\n",
|
|
" feat = vgg_first2(x_VGG)\n",
|
|
" return feat"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def full_model(summary = True):\n",
|
|
" input_img = Input(shape=(m, n, 1))\n",
|
|
" generator = generator_model(input_img)\n",
|
|
" feat = feat_model(generator)\n",
|
|
" model = Model(input=input_img, output=[generator, feat], name='architect')\n",
|
|
" model.summary()\n",
|
|
" return model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def get_gen_model():\n",
|
|
" gen_model = full_model()\n",
|
|
" model = Model(input=gen_model.input, output=gen_model.get_layer('block2_conv1').output)\n",
|
|
" return model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def train_full_model():\n",
|
|
" generator = generator_model(True)\n",
|
|
" discriminator = discriminator_model()\n",
|
|
"\n",
|
|
" full_model = Sequential()\n",
|
|
" full_model.add(generator)\n",
|
|
" full_model.add(discriminator)\n",
|
|
"\n",
|
|
" def loss(y_true, y_pred):\n",
|
|
" return 1 - discriminator.predict(y_pred)\n",
|
|
"\n",
|
|
" generator.compile(loss=loss, optimizer='adam')\n",
|
|
" full_model.compile(loss='binary_crossentropy', optimizer='adam')\n",
|
|
" discriminator.compile(loss='binary_crossentropy', optimizer='adam')\n",
|
|
" #128\n",
|
|
" for epoch in num_epochs:\n",
|
|
" num_batches = num_images // batch_size\n",
|
|
"\n",
|
|
" for batch in num_batches:\n",
|
|
" X,Y = get_batch(batch)\n",
|
|
"\n",
|
|
" Y_pred = generator.predict(X) \n",
|
|
" discriminator_Y = [0] * batch_size + [1] * batch_size\n",
|
|
" discriminator_X = np.concatenate(Y_pred, Y)\n",
|
|
" discriminator.trainable=True\n",
|
|
" discr_loss = discriminator.fit_on_batch(discriminator_X, discriminator_Y)\n",
|
|
"\n",
|
|
" discriminator.trainable=False\n",
|
|
"\n",
|
|
" generator_loss = generator.fit_on_batch(X, Y)\n",
|
|
"\n",
|
|
" generator.save_weights(generator,True)\n",
|
|
" discriminator.save_weights(discriminator, True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"def compute_vgg():\n",
|
|
" base_model = vgg16.VGG16(weights='imagenet', include_top=False)\n",
|
|
" model = Model(input=base_model.input, output=base_model.get_layer('block2_conv2').output)\n",
|
|
" num_batches = num_images // batch_size\n",
|
|
" for batch in range(num_batches):\n",
|
|
" _, Y = get_batch(batch, X = False);\n",
|
|
" Y = preprocess_vgg(Y)\n",
|
|
" features = model.predict(Y, verbose = 1)\n",
|
|
" f = h5py.File('features/feat_%d' % batch, \"w\")\n",
|
|
" dset = f.create_dataset(\"features\", data=features)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# model = get_full_model()\n",
|
|
"\n",
|
|
"# adam = Adam(lr=1e-5, beta_1=0.9, beta_2=0.999, epsilon=1e-8)\n",
|
|
"# model.compile(loss=[pixel_loss, feature_loss, adv_loss], loss_weights=[1, 1, 1], optimizer=adam)\n",
|
|
"# file_names = load_file_names(IMAGE_PATH)\n",
|
|
"# model.summary()\n",
|
|
"# # Threshold / Discriminator Starts at Layer #41\n",
|
|
"\n",
|
|
"\n",
|
|
"# for i, layer in enumerate(model.layers):\n",
|
|
"# print i, layer.name\n",
|
|
" \n",
|
|
"# sub_batch_size = 5\n",
|
|
"# for epoch in range(num_epochs):\n",
|
|
"# num_batches = num_images // batch_size\n",
|
|
"\n",
|
|
"# for batch in range(num_batches):\n",
|
|
"# X,Y,W = get_batch(batch)\n",
|
|
"# D = batch_size*[0]\n",
|
|
"# print \"training on batch %d\" % batch\n",
|
|
"# for layer in model.layers[41:]:\n",
|
|
"# layer.trainable = False\n",
|
|
"# history = model.fit(X, [Y,W,D], verbose = True, shuffle=\"batch\", epochs = 1, batch_size=sub_batch_size)\n",
|
|
" \n",
|
|
" \n",
|
|
"\n",
|
|
"# model.save_weights(\"weights_2_%d_%d\" % (epoch, batch))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"____________________________________________________________________________________________________\n",
|
|
"Layer (type) Output Shape Param # Connected to \n",
|
|
"====================================================================================================\n",
|
|
"input_10 (InputLayer) (None, 205, 282, 1) 0 \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_57 (Conv2D) (None, 205, 282, 32) 320 input_10[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_58 (Conv2D) (None, 205, 282, 32) 4128 conv2d_57[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"max_pooling2d_13 (MaxPooling2D) (None, 103, 141, 32) 0 conv2d_58[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block2_conv1 (Conv2D) (None, 103, 141, 64) 18496 max_pooling2d_13[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_59 (Conv2D) (None, 103, 141, 64) 16448 block2_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"max_pooling2d_14 (MaxPooling2D) (None, 52, 71, 64) 0 conv2d_59[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block3_conv1 (Conv2D) (None, 52, 71, 128) 73856 max_pooling2d_14[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_60 (Conv2D) (None, 52, 71, 128) 147584 block3_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"max_pooling2d_15 (MaxPooling2D) (None, 26, 36, 128) 0 conv2d_60[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block4_conv1 (Conv2D) (None, 26, 36, 256) 295168 max_pooling2d_15[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_61 (Conv2D) (None, 26, 36, 256) 590080 block4_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_41 (Add) (None, 26, 36, 256) 0 block4_conv1[0][0] \n",
|
|
" conv2d_61[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_62 (Conv2D) (None, 26, 36, 256) 590080 add_41[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_42 (Add) (None, 26, 36, 256) 0 add_41[0][0] \n",
|
|
" conv2d_62[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block5_conv1 (Conv2D) (None, 26, 36, 256) 590080 add_42[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_43 (Add) (None, 26, 36, 256) 0 add_42[0][0] \n",
|
|
" block5_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_63 (Conv2D) (None, 26, 36, 256) 590080 add_43[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_44 (Add) (None, 26, 36, 256) 0 add_43[0][0] \n",
|
|
" conv2d_63[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_64 (Conv2D) (None, 26, 36, 256) 590080 add_44[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_45 (Add) (None, 26, 36, 256) 0 add_44[0][0] \n",
|
|
" conv2d_64[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block6_conv1 (Conv2D) (None, 26, 36, 128) 131200 add_45[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"up_sampling2d_13 (UpSampling2D) (None, 52, 72, 128) 0 block6_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block7_conv1 (Conv2D) (None, 52, 72, 128) 147584 up_sampling2d_13[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_65 (Conv2D) (None, 52, 72, 128) 147584 block7_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_46 (Add) (None, 52, 72, 128) 0 block7_conv1[0][0] \n",
|
|
" conv2d_65[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_66 (Conv2D) (None, 52, 72, 128) 147584 add_46[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_47 (Add) (None, 52, 72, 128) 0 add_46[0][0] \n",
|
|
" conv2d_66[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block8_conv1 (Conv2D) (None, 52, 72, 64) 32832 add_47[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"up_sampling2d_14 (UpSampling2D) (None, 104, 144, 64) 0 block8_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block9_conv1 (Conv2D) (None, 104, 144, 64) 36928 up_sampling2d_14[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_67 (Conv2D) (None, 104, 144, 64) 36928 block9_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_48 (Add) (None, 104, 144, 64) 0 block9_conv1[0][0] \n",
|
|
" conv2d_67[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_68 (Conv2D) (None, 104, 144, 64) 36928 add_48[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_49 (Add) (None, 104, 144, 64) 0 add_48[0][0] \n",
|
|
" conv2d_68[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block10_conv1 (Conv2D) (None, 104, 144, 32) 8224 add_49[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"up_sampling2d_15 (UpSampling2D) (None, 208, 288, 32) 0 block10_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block11_conv1 (Conv2D) (None, 208, 288, 32) 9248 up_sampling2d_15[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_69 (Conv2D) (None, 208, 288, 32) 9248 block11_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_50 (Add) (None, 208, 288, 32) 0 block11_conv1[0][0] \n",
|
|
" conv2d_69[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_70 (Conv2D) (None, 208, 288, 3) 867 add_50[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"lambda_5 (Lambda) (None, 208, 288, 3) 0 conv2d_70[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"model_6 (Model) multiple 260160 lambda_5[0][0] \n",
|
|
"====================================================================================================\n",
|
|
"Total params: 4,511,715\n",
|
|
"Trainable params: 4,251,555\n",
|
|
"Non-trainable params: 260,160\n",
|
|
"____________________________________________________________________________________________________\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/balkhamissi/anaconda3/lib/python2.7/site-packages/ipykernel_launcher.py:8: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=Tensor(\"bl..., inputs=Tensor(\"in...)`\n",
|
|
" \n",
|
|
"/home/balkhamissi/anaconda3/lib/python2.7/site-packages/ipykernel_launcher.py:5: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=[<tf.Tenso..., name=\"architect\", inputs=Tensor(\"in...)`\n",
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" \"\"\"\n"
|
|
]
|
|
}
|
|
],
|
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"source": [
|
|
"model = full_model()\n",
|
|
"optim = Adam(lr=1e-4,beta_1=0.9, beta_2=0.999, epsilon=1e-8)\n",
|
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"#optim = SGD(lr=1e-4, decay=1e-3, momentum=0.7, nesterov=True)\n",
|
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"#optim = Nadam(lr=1e-4, beta_1=0.9, beta_2=0.999, epsilon=1e-08, schedule_decay=0.004)\n",
|
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"#model.compile(loss=[pixel_loss, feature_loss], loss_weights=[1, 0.01], optimizer=optim)\n",
|
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"model.load_weights('weights_5_17')\n",
|
|
"\n",
|
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"# Note to Self\n",
|
|
"# Pixel Loss wasn't decreasing, always ~151 while the feature loss was decreasing but very slowly\n",
|
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"# Last loss achieved: 849 = 151 + 698\n",
|
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"# While the loss at the beginning was: 899 = 151 + 748\n",
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"\n",
|
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"# sub_batch_size = 5\n",
|
|
"# for epoch in range(num_epochs):\n",
|
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"# num_batches = num_images // batch_size\n",
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"\n",
|
|
"# for batch in range(num_batches):\n",
|
|
"# X,Y,W = get_batch(batch, dataset='zubud')\n",
|
|
"# #loss = model.fit(X, X, verbose = True, shuffle=\"batch\", epochs = 1, batch_size=sub_batch_size)\n",
|
|
"# loss = model.train_on_batch(X, [Y, W])\n",
|
|
"# print(\"Loss in Epoch # \",epoch,\"| Batch #\", batch, \":\", loss)\n",
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|
"\n",
|
|
"# model.save_weights(\"weights_6_%d\" % epoch)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 96,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
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"outputs": [
|
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{
|
|
"name": "stderr",
|
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"output_type": "stream",
|
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"text": [
|
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"/home/balkhamissi/anaconda3/lib/python2.7/site-packages/ipykernel_launcher.py:8: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=Tensor(\"bl..., inputs=Tensor(\"in...)`\n",
|
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" \n",
|
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"/home/balkhamissi/anaconda3/lib/python2.7/site-packages/ipykernel_launcher.py:5: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=[<tf.Tenso..., name=\"architect\", inputs=Tensor(\"in...)`\n",
|
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" \"\"\"\n"
|
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]
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},
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"____________________________________________________________________________________________________\n",
|
|
"Layer (type) Output Shape Param # Connected to \n",
|
|
"====================================================================================================\n",
|
|
"input_30 (InputLayer) (None, 120, 160, 1) 0 \n",
|
|
"____________________________________________________________________________________________________\n",
|
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"conv2d_197 (Conv2D) (None, 120, 160, 32) 320 input_30[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_198 (Conv2D) (None, 120, 160, 32) 4128 conv2d_197[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"max_pooling2d_43 (MaxPooling2D) (None, 60, 80, 32) 0 conv2d_198[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block2_conv1 (Conv2D) (None, 60, 80, 64) 18496 max_pooling2d_43[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_199 (Conv2D) (None, 60, 80, 64) 16448 block2_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"max_pooling2d_44 (MaxPooling2D) (None, 30, 40, 64) 0 conv2d_199[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block3_conv1 (Conv2D) (None, 30, 40, 128) 73856 max_pooling2d_44[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_200 (Conv2D) (None, 30, 40, 128) 147584 block3_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
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"max_pooling2d_45 (MaxPooling2D) (None, 15, 20, 128) 0 conv2d_200[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block4_conv1 (Conv2D) (None, 15, 20, 256) 295168 max_pooling2d_45[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_201 (Conv2D) (None, 15, 20, 256) 590080 block4_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_141 (Add) (None, 15, 20, 256) 0 block4_conv1[0][0] \n",
|
|
" conv2d_201[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_202 (Conv2D) (None, 15, 20, 256) 590080 add_141[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_142 (Add) (None, 15, 20, 256) 0 add_141[0][0] \n",
|
|
" conv2d_202[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block5_conv1 (Conv2D) (None, 15, 20, 256) 590080 add_142[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_143 (Add) (None, 15, 20, 256) 0 add_142[0][0] \n",
|
|
" block5_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_203 (Conv2D) (None, 15, 20, 256) 590080 add_143[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_144 (Add) (None, 15, 20, 256) 0 add_143[0][0] \n",
|
|
" conv2d_203[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_204 (Conv2D) (None, 15, 20, 256) 590080 add_144[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_145 (Add) (None, 15, 20, 256) 0 add_144[0][0] \n",
|
|
" conv2d_204[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block6_conv1 (Conv2D) (None, 15, 20, 128) 131200 add_145[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"up_sampling2d_43 (UpSampling2D) (None, 30, 40, 128) 0 block6_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block7_conv1 (Conv2D) (None, 30, 40, 128) 147584 up_sampling2d_43[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_205 (Conv2D) (None, 30, 40, 128) 147584 block7_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_146 (Add) (None, 30, 40, 128) 0 block7_conv1[0][0] \n",
|
|
" conv2d_205[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_206 (Conv2D) (None, 30, 40, 128) 147584 add_146[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_147 (Add) (None, 30, 40, 128) 0 add_146[0][0] \n",
|
|
" conv2d_206[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block8_conv1 (Conv2D) (None, 30, 40, 64) 32832 add_147[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"up_sampling2d_44 (UpSampling2D) (None, 60, 80, 64) 0 block8_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block9_conv1 (Conv2D) (None, 60, 80, 64) 36928 up_sampling2d_44[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_207 (Conv2D) (None, 60, 80, 64) 36928 block9_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_148 (Add) (None, 60, 80, 64) 0 block9_conv1[0][0] \n",
|
|
" conv2d_207[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_208 (Conv2D) (None, 60, 80, 64) 36928 add_148[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_149 (Add) (None, 60, 80, 64) 0 add_148[0][0] \n",
|
|
" conv2d_208[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block10_conv1 (Conv2D) (None, 60, 80, 32) 8224 add_149[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"up_sampling2d_45 (UpSampling2D) (None, 120, 160, 32) 0 block10_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"block11_conv1 (Conv2D) (None, 120, 160, 32) 9248 up_sampling2d_45[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_209 (Conv2D) (None, 120, 160, 32) 9248 block11_conv1[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"add_150 (Add) (None, 120, 160, 32) 0 block11_conv1[0][0] \n",
|
|
" conv2d_209[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"conv2d_210 (Conv2D) (None, 120, 160, 3) 867 add_150[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"lambda_15 (Lambda) (None, 120, 160, 3) 0 conv2d_210[0][0] \n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"model_21 (Model) multiple 260160 lambda_15[0][0] \n",
|
|
"====================================================================================================\n",
|
|
"Total params: 4,511,715\n",
|
|
"Trainable params: 4,251,555\n",
|
|
"Non-trainable params: 260,160\n",
|
|
"____________________________________________________________________________________________________\n",
|
|
"3015\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"m = 120\n",
|
|
"n = 160\n",
|
|
"sketch_dim = (m,n)\n",
|
|
"img_dim = (m, n, 3)\n",
|
|
"num_images = 200000\n",
|
|
"model = full_model()\n",
|
|
"optim = Adam(lr=1e-4,beta_1=0.9, beta_2=0.999, epsilon=1e-8)\n",
|
|
"#optim = SGD(lr=1e-4, decay=1e-3, momentum=0.7, nesterov=True)\n",
|
|
"#optim = Nadam(lr=1e-4, beta_1=0.9, beta_2=0.999, epsilon=1e-08, schedule_decay=0.004)\n",
|
|
"model.compile(loss=[pixel_loss, feature_loss], loss_weights=[1, 0.01], optimizer=optim)\n",
|
|
"file_names = load_file_names(BUILDING_IMAGE_PATH)\n",
|
|
"print(len(file_names))\n",
|
|
"model.load_weights('weights_4_24')\n",
|
|
"sub_batch_size = 5\n",
|
|
"# for epoch in range(num_epochs):\n",
|
|
"# num_batches = num_images // batch_size\n",
|
|
"\n",
|
|
"# for batch in range(num_batches):\n",
|
|
"# X,Y,W = get_batch(batch, Building=True)\n",
|
|
"# #loss = model.fit(X, X, verbose = True, shuffle=\"batch\", epochs = 1, batch_size=sub_batch_size)\n",
|
|
"# #loss = model.train_on_batch([X], [Y,W])\n",
|
|
"# loss = model.train_on_batch(X, [Y, W])\n",
|
|
"# print(\"Loss in Epoch # \",epoch,\"| Batch #\", batch, \":\", loss)\n",
|
|
"\n",
|
|
"# model.save_weights(\"weights_4_%d\" % epoch)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"X, T, _ = get_batch(600, Y = True, W = False, dataset='zubud')\n",
|
|
"Y, W = model.predict(X[:5])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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uMtQpjP5ep025ViVbgbkorKjbwGfLWlV1yOIvag//9Kdf+71h0Re48cZsZrDvP+/7CJ4X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\nllrqKdey0C+11FJLPeX6fwB1uWP+nki/AAAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fdcec09cbd0>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"i = 3\n",
|
|
"x = X[i].reshape(m,n)\n",
|
|
"y = Y[i]\n",
|
|
"sub_plot(x, T[i], y)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"input_4\n",
|
|
"block1_conv1\n",
|
|
"block1_conv2\n",
|
|
"block1_pool\n",
|
|
"block2_conv1\n",
|
|
"block2_conv2\n",
|
|
"block2_pool\n",
|
|
"block3_conv1\n",
|
|
"block3_conv2\n",
|
|
"block3_conv3\n",
|
|
"block3_pool\n",
|
|
"block4_conv1\n",
|
|
"block4_conv2\n",
|
|
"block4_conv3\n",
|
|
"block4_pool\n",
|
|
"block5_conv1\n",
|
|
"block5_conv2\n",
|
|
"block5_conv3\n",
|
|
"block5_pool\n"
|
|
]
|
|
}
|
|
],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"sketch = cv.imread('buildiing_10.jpg', 0)\n",
|
|
"sketch = imresize(sketch, sketch_dim)\n",
|
|
"sketch = sketch / 255.\n",
|
|
"sketch = sketch.reshape(1,m,n,1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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Bv31kiHC2JVZhVORR82/vXQTiaUjy3bNfVn7dV1phaXVgFgtPCsjGMjfxhRNaqAQtMbFh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DuD/9k32B2OGRyM+MGHV3jw4Tu8c/kyl378Ll61zupsh9WXnufTr36ShYUZolod50m0K5MNW5RB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Z53rXQhQpTf3vrJ7fDBcBxgxdB1HdZafizkt2rwW30b3E2NmBANKgT/EQm6U+WCc8AFjz+2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\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fdd186ca910>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"result, _ = model.predict(sketch)\n",
|
|
"imshow(result[0])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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aVkDjvma2b9xBRzjAyWdfQG31UIqyfJx/2fk4XNlIBLoBINCFgpSxUak0JE5f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yCJTjKTQVHqMGctklo9Yt4m1dVCUybDyJnTFC2PuFKjK9XGS5zGEDEiehldjaBoUX8Wb20ORUjU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\nggoqOM5RIfoKKqigguMc/z8kkCPKpoVonwAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fdd1801b450>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig = plt.figure()\n",
|
|
"a = fig.add_subplot(1,2,1)\n",
|
|
"imgplot = plt.imshow(sketch[0].reshape(m,n), cmap='gray')\n",
|
|
"a.set_title('Sketch')\n",
|
|
"plt.axis(\"off\")\n",
|
|
"a = fig.add_subplot(1,2,2)\n",
|
|
"imgplot = plt.imshow(result[0])\n",
|
|
"a.set_title('Prediction')\n",
|
|
"plt.axis(\"off\")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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+GvX9WV73gNfZGwzgs353qSa+tG5P2vnOW0LnubWxgdEo0fMEgLV18VvOEaks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\nZjwlFGFd5lszv3MvhRSZxS3Lm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"text/plain": [
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"<matplotlib.figure.Figure at 0x7efcca448050>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": 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gop7a+RdkUBw9PAQA3Hz9DTtPnmNEH/DVa3YPXrtmKPSpG4Y8X/rpz+NnXvo5ACupuMqt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\nrfxOLezK0DAl7djYbizft9T09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"text/plain": [
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"<matplotlib.figure.Figure at 0x7efcca4f9150>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": 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Uqzr+6lyLUz3beqTZW2+99XYFe2GQplunAXc+xcw36ZtbPhthOqAxVfO37swN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NEpNUXjXBGzwM4FNPbjP3IHADBMZZ0fvv5/AwDS3gjDrU2Oi2T0mSDW2VhoSkb4L4GSaN1r90nL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\nwwAAAABJRU5ErkJggg==\n",
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7efd3c4af990>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": 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1xKzJTpJMgwAYcWdN1sPHEczp2mr9t/aQSlMDT0MxlgiMNe16P4KChyQVlKfE\nd4+UKk24JEmKApHksK/qSB6vS/YHJnJMIRgp+JA/qXeRRHpi1omI6vM7GAjCXl1d4/sBkltFmiOm\nCFYVvLSceNBpIyUaLXwEO2HmSDO33HLLbQ+2L5DmMIpw7doqNqmmfvbCRcxOC2JYIol8YUGSBFN1\nKnUHgVsJQyrUTCZERrGkW6k1RurdGP90YU+NI3njcVAALpZWqU2N7ed+Whb3ZC8dosooil08q8O4\np8aetN+OH/i3hAp0XNqMYT73IyGuv/SSkMi3rktSBWmClRVBfcuzgkiOPvggAGB9u60njNPnBWFe\nF20JEBzDUzqRyRIigS9I6dpliZWeOvGGXB9juvVaDctLQtz2i0ro5liUsj703Z5s3+wKoitSnCLV\nXubxjTQcTXqYiU6WxhikSqjXZ4DdH+NIVdljFwvV+LMx4g1ouWghLGSkcQ6yxttj169KPo+8rItq\novFTfc+NkjR1P2KHmicQZ6fdxfp1kYOYnZ4bu65bMX1ewpJ6BX6WJGLRQlZG/OEnxOdIM7fccstt\nD7YvkGa1UsFnP/OL2KR+5draOq5dk5XxGuMyKvAwPS0ldjOzU1hgKd4CY6HlssS1NKGtRHYLM1Kb\nNkEjGiu1nMiGTn7HWqfMrh3/9kqMvRfmkEBYcDFNR6pm3FPJ84BBEFJURCXqnBZlZoowNYb50o+F\nInT6tBDY1xjHPLByFLOMP3/xi58DACysSKb8b59+GQDQaHtodCUeFidEbt74GHseYC31MjsSi2zt\nCprxifqKNTnfI4cP4rFHJWt+eV0QtZahqgTg2kYDZy+J59Js0yMJBRlq7DBOkuz4TqmdSu6RCm3I\n332TIXQt4dRCi4BjblMfHrRcUsY94muS9NxxlGiuoh49dtRcXdsAAFRrgtrm52ZQZvGEDleB0oOe\nR0qUxYi7NF7toTHmdruLHzz9HK9ZdvTU40+Mj9stmD4fflBAmR0wBywD7jtCPOUPwxD74bdxLyxH\nmrnllltue7B9gTTL5RI+/omPod8V1NDudbB5XXqgbFBgdduhUOl3ffXqVSdCoBnTZcY/l5bkdZpx\n0VKp5PiULrE+cQ4W1ml5TDaYHCW9VyuyklYqdexnc6K3Ze3nzT45UeyEdQd9QVwa91S+52DYx3Mv\n/D0A4MeMYZ49LfHFC2dEjKPOeN5UvY65GRnneSL/LnmM3QEFLuKSy+JPhlN9nwUK8Q4unReF/IAZ\n5zlKupWoxUo9AAAgAElEQVSLcmM+92khxh85chgDchqvbZznfuQaGhT92GisY7dFQWBKsEWxXLfj\n7NqsFDKldKCv3gkz0lHEUkeTwAuYWXfCIenY/owx7jy09NXXGDM5jkkydOehz5Xej9Nn5Vq6vC+L\ni7M4eEDGYJlCJyGRocZIk8S6WKin4tupXncm6r16TX5Hf/Gfvw8gY1x86pPSVVW7aN6qqXdS0riu\nEuKJPNM4Rqjq8PueDL83RLwvJs3UWvSHfUf6XV6Yx6EVqVVWVesWG6CtUZ366rVN9+/VazKRrq9L\n0yl102fYqGp5adm58lPTMtlVqPIS8CE3sCO4W916sVEqUp2VO+Eeas73g4258PxBq1LOgA/8xpY0\n73rx5Zdx/DWZwNpsWdFi0zltm3DwgCR/6tPTqFZlLFpd+cGcuyYTRGxVBzNwE40uWgG5PP2OhGHe\nfusVNHj8w4eOAQBqNUn+HTgoE8enOGnOzM7hnZMywWg7imZHXocu+xc7qlGfCRElkbsETDq6II63\nnpjM78WJhVE2Oltk+JxEjXtATJZwVHqTW5BkjDrdHiImT7QxmyafFvlsgn9fu7qO1VV5xmtTMjkt\nkc41XWdFWiGAxwaAXqoVcvL9JNbkUTaxb20JMPmrv3lGxoRtqz/36U8DUM3RvbvVARfcUUJ8jyGe\nIn+PXqBN3fabfQDK7bnllltuHxXbF0hzMBjg7JnzqJBQfODgMqZnJOFTpjusr1NTssIePnIY75wU\n0nP7uiCUMmlAmzuCirbo2m+sb7uyxCkmLZaWBHkuLYorPzszgwoRU6oowXlxpMIYYIqrerBHd2Zf\nmaI9kqwH1Ic8/oYQ1l955XWcP/uObEo0pKGOjz0iKPATn/pFAMDbJy9iSPf3jROStNvaVUQn9zPw\nsySKz5LI3Z0LAIB33pBk0W6jgSmip/l5QZjOY5hWBX1BudZadPtsjctYSgrxHNJU7nNqgf5Q1dPH\nldE1VAHPOkF/TJQrZh48E0IjmqyawAnoyhe0Vh5AqlQgp/+qpa6yTZwUUehrckeTOXItK0TUh/na\naDax2xC0tsNmf+fPS98fHc/LV6/h0CFRhdKeVhpCcrAXWVIotXLM3V1BmN/9ux/xvOS8v/CZz6JE\nwvrtmDfitscTNez6m9l/hPhc5Si33HLL7Z7ZvkCahSDAytIiIgbEr29sY2NLEkFKVq7VJKZTIfpI\nAYQMPD18TNR0HnvqKQDAkKvm2obs48qlNVzfEDTa2Bb0ucX3Z0KJjU1PT2GRK/WBZVnp5xckflRm\n/LMUBo7yZD4EJN4uEcAPX3wJAPDii68AAM6efhOXzp8GACwvSmx5YVHG5OBh0ahUladOP8FOi0Tw\nkEIW5On4TKYYz8BA0NmgJ17A5UtCWep15Bwq5RBHqHu5xPHXVrslEtgVBW41Othpyj2uVOR++AFL\nHFVDNbEupqklkk4Qgxv5nu+a7WRlhqo4RG/DjZa9IfSlCRiNIYYF312zqiO5Wl9PW/oGjuYTEnGV\ny9TsZJFCrSSv1XoFK8skyzP2uLMl43eRbXr77Q5OvCv36jy7T87NyZgszLMLZ6EI637qIzQ8AK22\njOPfff9Fd/W/8vlfkvPbAx1p0sxNhD+GPYmnagxX8wKeH9zQTHe/YNCbWY40c8stt9z2YPsCafq+\nj+l6FWVShgb9AYYkBave4jqJvypaMUgsBh3216FMm/JZ6nWiUsbIDq0sOZL3NuOdmpW8uioZ982N\nDZe9PX9W+sxoHO8gydq/+MQjmJqR1fv2aBT7Yx3VvkQ/elHiiS+8ILSiq1RBv3zxvFMen2O2VstY\njxwVVM9wIXp9gx6J4KVUxjhkLx3NIPvoYe2aUJUG7PY4MyOovsQY5yc/9jiOHpMe6Jssv9zYFhSq\n3RsvXduS81zvYbelGexJNKSkeesy4Y564wReMh1W7QulpY2ulNalwXW3Hkb4FHyRY8VEqTYCFDNp\n+SNSPbbGRrOsu8ZCVRFey2LVq+oN+kgCGR+nCK/FC9zfVL3mSmbVO9tYld/KGl/L5TIqZCKUa+Ip\neJ7qwMr5dtuyv5OnruCzn+J9vAOkOWpKfyuSEB8PhO6kFMOwWHIUqv0T53xvy5FmbrnlltsebF8g\nTUDWOxUY9gMPUySPV6uy6loryER7Tp85fwkxe610erJyXboicZ4Kv6PK1dVyGbMkwM/NS7znwYck\nC3ydGfaXX3oVvbbGXARJNBvCUawwZvXQr/8aFg8cmTjz90KPmYBs1rLog1+jeoM+XnhJYpfP/VAI\n7BurEguDles8uLKCRx56QD7zteeN9vQRlLq+xV5G4TQqBFWJ432y/BGy7eqVE7hwTuJu8wviTSwf\nEBbDIcYxf+3XvoAKS1Of+5GUbEa8Dy1WgJ4+J17CMPJHEsOqvK7K5jyXyLpYpjdJRleB4RHBDj/Q\n+KuWeWqMM4t1akw167k+jjjTBBhSONn648fWZypJU/c8+AXyPCeUDAuhItAqYnI2BywYUL5rkdtU\n61UcPCie0MG2vDYpiXd9U5B5u9sXGKwnmZ1y5jE5dkN4Q8eCu2WeE/5Q3iZjnf0uEnqW4UTXzP1o\n+/fMcsstt9z2oe0LpBlFEa6tr7vKgXq1giJXRK1eUdSY6opYKKDM1fYIM7qG1So7LLnc2ZEVtxD4\nLk40M01xY2Z/VWw2LATwyG/TUrjDCxK//Odf+U0AwNf+1b9BldJaaq530UR5poF1yGYEan5g1qeA\n7IuvvIpnnxURjhNvC6K7vioI/chhkXQ7duQQPv9LnwUAvPpTaWHR7sm1nL4gY9vra4dIH4VQJfoY\nKxxuc/+CaFdXr6DAuJZWstTYEmNhTpBFtVp1fW+GWskTsVNin1nmUWEKO44wNX7ZJzKzsKiU2VaC\nn3WZtVVRDsBz90tRsv7FV2HrEd6mdUFRFe4Yv+nWpAAFMSLtW0UhZRWGSVPrBIpjLdEsaLxTq5F4\nTchKW4t8th2i1jLPeOj6EpUqss3UlPA2FxblWW00GuixVCqB3IeWCiAbFWTm+PV6I/2E7m3VW8CY\nqV+pZ8IfnfFOmMFdiqveTdsXkyYg80uzIQPW2m06V2V2Wn5kMyQ8a5+WbqeLEidSdeuKjgDPgDPd\n916vhy5d+Ktrkvjxfflht7qZLqCWVBZJcfnsE48DAL76e/9a9ru04lwX6wL7Si0ZVwpK0xQ2ifgn\nKq7T1dOmW/fD+lQXf+k1SfY8/8OXcJbE9UvnzwAAZjh+WiJ6YHnF9dxJjYxxm0o8YTLuzhlj4Bl1\ne8Vl323IGHeZqCsXi1gkfWuRRQVK8dHA/2AYodGRexSlVJKqyKuGBkYaO7vvKdFc+wExT4JkuIlm\nQxJ7hYL8AKOhXJ/xyiPnwGZkzoOn627VXVX1fi+7t05FSE9mlJg0vlC6dVNLJm32PdXNtBolcA0C\nM389E9qSfyktqcRX3/PdpK0lkRp+0Na7tfoUSkq7sjIWzTUZay1D1dWi2xtiGGVhi/thxvNcDXvE\n53XAJFHCawiL5X2TJMrd89xyyy23Pdi+QJqe8VAuljE/L6ug8YFmU1BLh9qH7avX+F5WyOZuBx6J\n710KRWgflpKWkVE1u+YZzFK8Q2P/fVKQGucvyDl4vutSGDJAffCQuP3TTF6M6x0pcToZe69k6TRN\nnNpM5gT6Yy9j35vw3e2ISki2wN76SjuIpFDgldekr84zz/wQALC+egkeoc0KO0Q++bgg6hRU0CkV\ncWVN3PBhohql44ja9fHxU3QpunHxgiDYakmQ6wGKehw7MItPfUYEIa6uC/q7ckWQviG6f/PERWxs\n8V4L+EdARG5cJ0YV1UgdqlJUVAwEaW5vCF3s3bePo89n5+ixRwAApaok/wpF7TBpXHJOEaEmI9Wj\nUNELmHREZ1VRpHobych5jmd1XIcAVU9KE4cE1dvX18S59Lpt1tdHMadL0mi5YrGIWlV+Nz3+NjRZ\nqmGAJLXoUM80gTwXqjqlSNOh39i6IoAPwgoahvC1jxLd9m7bJZDudgfYvVqONHPLLbfc9mD7Amla\nWCRIsx4w0zWsLEoM0yN61ED/1etC2N3Z3sFuS9DF+QuXAQDzTNxoT3LDntUF37iVtMRkU4niHIUr\nRB3WOlRQZBxrgWWV2cqfuBIwfwIFqVCDyoQl0SCLe6aavFKIad1/dRtjxtcvRS+w1olS3Eo/oiER\n5qvHRWH9B08LwnzzuBDZtzeu4cABQdBPPS4I7DOf/wcAgJ8cl6TPxm6EazsivkHw4gjKmogIjJzf\n9tZ5vP2mJHyGA4GIDz0oyHV2VuhdTzzxKB7jsTZ2Wrx20k1SQRbrmyn6TC7Frssj45QMVAYBeyEl\nCXzGDkNfPJJzp9/gq4i49Ps91OtKWyvxWIwpay8iz0NQ0B7oiuRoWv440ndnkkKWmSLPkYClxkKd\nw6D3GQj0XjukqfFG3vORrpwZwpw4os1Qr6IzRWBKm2qzg+igP3TSin1Vzjfj0oguLhrH6A9U5f+D\nM72WUkXi0NFg4OKcWp4ZUMX+fsc67xhpGmN8Y8xxY8xf8f2cMeZ7xpjTfJ2989PMLbfcctsfdjeQ\n5h8AeBfAFN9/A8APrLXfNMZ8g+//8GfvwiJJYgwiIrJ2B1MsYXQ5S/ajNvpqgSmWSy5T4EF731zf\nlHhZj9nYQsHDHFHPMuN4uja12dskSROXKS1wpZ+eZgZZhZBbDUdFqVb5N5UOgyJMQXrxcOhWxKxb\nIfvEjHQU1EVSkasiz4Tq3sbzskq+91njhlGEV18nwnxGJL9OnRDF9UsXJVM+PzPjCgYefEBifBor\naveJuro+PF+lzTLRDXkvY7GzI4Ibb77+Ejocw0MHRdxjlqWXU8zGT89Ou8jtgCWX/ZjocSDHLlof\nPmPJVaIMja1pfLbTFAqZZyx8I6jj5LvCCrhy6YKMX6riF0V3PjOU89uisEiWnM6QnO977rPR1yzm\n7I18cVyx3XNMAiB1sW5u6msMUsfPujJOfZYc4uT1urilNSMh0ok4o8ZVber6xSta1rJM7TUEALgu\nRHdVidfYtFJ6NNMeDQfoEtHtB1MUWSiV4FHKMOrJ70ipZEUS4u+XQvwdHcUYcxjAbwP4v0Y+/hqA\nP+K//wjAP7uTY+SWW2657Se7U6T5vwP4XwCMNsxZttau8t9rAJbfbyfDKMZVCnIAQKlQwPKSxLWU\njO6Tl9ZgaWMaxZieYu9xooQqs4iGiKUZEJkga3Vw4ZL06x5yldrdlv1FcYKAK7byPxcY+1Oks7u9\ngdlZibXGiXymMc5Bn0KrRIx+GLpWHSljVYOuxoqINPyCE6PIevjIfiPur1ybHk2fv8f4MY75+hv4\nzt9KD5irF8/KfolYDy4J6nryqcfhaHiUU7u61uJ5UsjXK4ygJyJOK+ijsSVE+B75rVPTszh2WLLk\njz4mccs+PQYV3vX8ANc3pQSyN5TPKjVBfwXHwcxWcC1gULK79jCaqctYtxrraLT0nBmjZuxrivHL\nhcV5fI4Z+3ZXUNpOR54puP0D3gRfdJR/CndmgE1u5ExOChUD5ga0k07sX7yFcXk2jdcPh+qRZEe2\nN3BC5UXvTxwlTrxDzW06wu2sMpY/IBui01e0TOSpcdVy6CTv9oe8jJhBhoq96nhmvaeE+FJ5T+Lg\nN3oTt2a3PWkaY34HwHVr7avGmC+9x0lZY8xNz8gY83UAXweASrWMw0cOoN2SwHXoBxgwGbC+KRSV\niJNTa1t+fElq3cPS5g9Y3V5rlA4jD+d0rY5pTr7Fqvy4zl2W5FF6SV4NbJYsCuWHF/GDjTWZaOdm\n5xytSSdJDZoPu3Lus/MyOaWpdT1S9Ee/uyvnHrE6Z2ZuyblqHpMe/R5ruk2WNHKFKK70RF60Pexr\nVFz/67/5Ht44LtqYjU1Ztw4fEuWgT3xMWrY+8bGn8PqbUgd+aVWO1WYjr0R1MD0DT6t7IllUTp6U\n6qGNdZk0Dx2S6qGVxQX8w1+V1r1HWK/+/WclMaT13FfXm2hzvHo9PYa6w6xw8bIJpusavnFsrPwo\nTpx8HQBwfW0Vs/MyUc/Py5rMgi98/rOfBAAcPXrMVZO9e0JCCcZkIQ8dR+vqxjnxeOPuuitm8CxS\n1ed0BV4TVUNpmlX1+KOT5MjkBztSZaQEfW37y9AFexp5Jqt81wSjftdVDSWJm2RdIGdiLjDGc+GV\nApORJVDhPtEWw7KTTq/nOh9oYlabxO0bcrnW31PndlQhPuU8UXDq8+MUsKwwIc1iKHu8rDtBml8E\n8E+NMV8FUAIwZYz5fwGsG2MOWGtXjTEHAFy/2Zettd8C8C0AmF+Y2dtUn1tuueX2AdltT5rW2n8H\n4N8BAJHm/2yt/W+MMf8rgN8H8E2+/uX77cv3PExVypgmXEijyJVVDelWtxic3tyQgLbvB1hlm98S\nNTd3K4KcyiQvL85LQqJUKjpor31nFG2o1qJNM1KvJmW0xW2NU/pgOMhalhLlDXletfrc2Oe9fg+b\n60LbmaYGZ4MdHYNZKp37nlsZhwNVNheXY3qW5YZJAs+bpIXIMV59Q2g23/nu0wCA8+fOYPO6lDBq\naeQUQxgPPfCAHLtYRrPLhAi9VW2GpCjGN0ASC8J89y1R9NZEyxx7LM2QzjM7U8dhuucFBuq1gCCK\n5P3qRuxcUSdojnF3OIpip3ka+PLa3r3KcxCC/obrNlrSvCBCIqd56nM+9qgg4Pmlw1ilVmqPyD6l\nipM3gjq08CAlStOeQYrwvBGgYh0tbLyE1lhVK/JGaszHkzpjzCP9nn7EgyUTrniSZBtpPyf9jmvh\nmyYjQEk9Eb2+7PMxWVCMJFhI2/FGtm015ZnuK1medDrXljjYF0xFN7aB0+L0MKA6/JAeYKEoaNR3\nLaTVs/EdJXGvCPpepJu+CeArxpjTAL7M97nllltuHwq7K0uGtfZZAM/y31sAfmMv30+SFK1m23Uj\ntDAuxqR0Chck56o3N1VHlaWRPSLCmBAn4Uq4yX5AzWYbM7OC9ma5/G6z10pMdGP4PwA4fEBUYo49\nKKgl5krUbDbdyqyIUrU7i1TtaTOOeeniOTQZGxoy5hIG4yViUTSAYodOV4nIfZ6PWHt3B6WSHMNn\nnOY1Isw//8u/AgCcPiHlix4SpzL/saeEYK6CFkPGz7ZW20gpWOFPrLQBYVY8bKC5uzZ27trp8NFH\nHuJ1C4VrarrkRCRaLNWzoCKVCmMkvmN5ZwhTkx+RG4uAJX7r1yWJ9fabEsNUSpOiyuXlRcwQ8YZU\nWKrX5FgVqp9XymVXXqheRpoIih/yFZ4nghdARglyaFJpPPLOptbRyiaRiaMeYYSV5BDmOIXJwLhY\npno2mvzrsRx4i89tuRi6uGzWzVPuWZl0rl63l5WZYhypWtcHPXFxQEXO+rsaadQOACj4oeth5AcZ\nNW70NSgUHOq8n7qXk3SwNL0xAVZUT3Co1D/5PXn87QSh9pK6/fhsXkaZW2655bYH2xfBiTiKsXF9\nEy3SSIqlEnxP/j3DuGTMLJ8izihM3cpaI4m3wDK7ZXbhi4lmdnZ2sUlq0fkrgqDW14XipItVIQAq\npMhojA5ErIMuzysMsd2QmGqqJZ/HBI222rL/64wpblzfcLocmunU8k5V5u62W64UrLkr6CLm9bW5\nv83N66jXBVGfuSwxvj/79t8AAN55S4jsTfY2OrhyAA+yM+eRY6Iwf+KUqLKfuyL0q84ggO9pTJUI\n0yclZ+s8AOD0ieOoVeWYCxQr+eTjQoT/+C/+AgDgx6+8LfsIfKxtyble3RCk6RcowZZqdjhxpZAa\nBxzwOj3qTSJpoDeQcxz0lbQsqKFaEZSgRQyf+PiT2NmlhBjjsgWWQypyjAZddFhG2Ce9JiiUuI08\nJ3ESu5iypZeiDAzXs0aRlGeyvkEuWGjGXgVAZqhz9G9OB97akdDjuFjI1oY8A+skopcroYvLL/KZ\nrtMbc1l0z3Nxee05pIgwdcg4cDE9VzyhntyEHqkFMKRIiRPP4GWqSEocxU71Xon0yhC5U+Q5iSZv\nLDYYjUt6Y+9HPQDtHaWK8BHpSanrhFm5bTJ8jjRzyy233PZg+wJphmGAo4eXASLFbm+AJjmbG2cF\nKQ3Yo1sDNnESo8pYmnajXLsuK3WBscSFJSGiz83OOtktK5tgY2O8PDMMgFpZ9nf42APyN65WG+yR\nvjC/iB7Pw3Cl3t0VlLVLVLPODO9gOMACe6QrOhhEAouG5KAGhQCB3xsbC81Mtom6u90u3jktMb5n\nfigczGtXBXHGjH8uUqB5YW4W80QkqtC922YsLMjK+ZSDGLAPztZ1KbF886c/lv0OB1gk/3GBYsQq\nuFFTgWeio07fx0n27ukPtR8OeJ3KN/QQaVyMRQU+U/dblHI7c/It5ynMLgq39IB2Af2ExFE/x37c\n3d4Af/+ixDuV26jX1OWYbO6s4vQFuW+7HQq3OMEUHYqCQ0gal9QMfkxeqcsY+4Hrrul6qztpOOOu\n0xHfnbzaOAryjEHELH56A4oaj/tubjaxuSXo+1xRpBGnVZR7iii8VHTx9AqZIZOcRKQpPFcmyh5B\nmuV3Ic1Mdq/B35522ayo4LGfxThjok7lcir3WAs6wmIRpdLNld9vhiKzDgjjscZRVHk7PNFMHf5G\nQryTmivsTRQ8R5q55ZZbbnuwfYE0Pc9HtVJFjcjMGOOQyRoziW+/JX2ztSojSlNsN2QVLhG9tLhC\nukCXr2V8vosbqbyY8vw85SjCR5XixXPLKzwP2abElTyKhq5qSeucUnIxA67GGq8qBgVUyZHkKaPD\ncq+S9j0xRReX0RiackO3duS6f/rOSTz3I0GYV1nF1GOmvUYR5iceEyQWW4NmRxDAxhmpKYjZOkIr\njIwBjBU01m2pzN4Gx0S2eeCRh7GwJPFDbYGhAipdCvsOhkQdQQWGYHnoOicSzaismgd4jCUhFWR+\n9iyl3M6KlNuwP8DhI0d5Hqzk4vNw8CB73rD3+ur6luNVun7lvL8nzwq63NxO0O5oTyC9drIDeC5J\nghHxDHoczLKmLn7JEth+Dx7HUGPSDp3JlhQL0fjmBOJ0ICkT4dAqHX3WKywBPcLukjuNXTScGLcg\nui3Gj9cZ/ww84OI1qf5aopziwswM90cxlGLRxZQN2P/HVQtp5VImHqICM3YiO+1YFkEWI9VumU3+\nTq9elYqx6bkZHDgo8XXddtJGY5GT8ck7tcm9GFdFpG01+o7T6Ud7mwb3xaRprUWUpI5+EhYKTucv\nZKC5GCjlQh6E6ZkpBCXWLU+4GOtsy9vry4M2M1XDwYOS3GnSfUvpXvj8tXkwqDtlaLnJ/bZMyovz\nkgyJ4wjdnjzYO9sSrNd69TLpLSlrvculIgJ1GUmAj+iuhh7pGvBGas7lfFRt5uQ7kmh55vkf4xpb\nE7ea4gaXGKCvckJbpHLT6fPr2GkzYcaHuVRiAzlff8QdXDgnru3WBn9sSzI2Tz76MADgt37ryzh5\nTiboiJP4doPhhwbHrSAPX+CH6JKYHyeTLh+TIl6KNJbvnz8rqktnTssiqO76zMwMDh+SH1kKGct6\nbbwgQX/pSTxEQre8qeskJ3GP/X7T1HP1jqnr5zSh3GTgtE4TlzThufNHps+C73mIObkpDctJZ9LF\nD/ysX0/2qx1XuhcakJb5yr4DTm4hF96VFZn8lpZmHY2uScK5djTQZ7zR2EGT90Zdea35n2KxyML8\nDCpcYJOkOHI2WUloVoGZZq62xll+hikFqsaJ+mghC3eoPoFeV+h0P28+id5PK4Qlp/ugk+etWu6e\n55ZbbrntwfYF0uwPBjh95hzmSUCfmplxKue6sqZ0GVaWBfUNjEGZAdwV9vIJq7L6bhFV1ehuB76H\nLZYwbhIhKhXBITBY19/n6rogsBmixr5DiMYlczTonhCarK7KdxT97ezsuLLJGvUcHa2Dq3uz3UQx\nZAdNuqInzgnt52+/9xwA4NqlC07Ps07kME1XWcsWtxoUD4kC9NiaVeknmgCAlW3OnXkN506/CwCY\nZ5JH1aEef4R0paOHcOq8JB4GsZzsu2fE7W33mOyJ5TWK4kxxcjy3Bg/it++sn0OvT9XtkOh4UUIg\nxw7L6yMPPwifSOTsOblHSmbXNrbqCrbaPQx5/DjldVqqeSeZY+bGW13RCf3KUSkZFdYIJnQ1U6es\nb1xSKE3VNaVSECk6w2To3Hw37hNkeRjjVNeV/qMlkphAu4UgcF0nSyTtLy8LBWlmRp6F1bUA9Sl5\ndnYZrtrelTDQ7q6839zacceYmZWwy8wckWdKao4LI3hos3yyT0RdS8cTOtbaG2g+6v6HoWrQZp0Y\n9L4NWFSg3pTSlSa7FtwvU5RcqU29z5bjliPN3HLLLbc92L5AmnGSYrPRxhZXSs+7gqKu6k7QQcUc\nGLsqhugyZqJmGP85ekDQaJFosFqvo81A+g5J5K7kTM8hTXGRAiDfe+Z5AMChw4JgS0wOzM/OICHS\nfOgRKVO8uCqI7PIZoc584Zc+z5PJiNJTRJoXLwp9SpHjVG0KVa5yb50W2s9ffPu7AIDzRJytnW3U\ntB/5kqCM6pS8b+zKyn11jbJrA+uoIGXGsOKBXFNzUxJDw8EAy0zyPPmUyMVZI2M9PSPnGSUWrZ6M\nzG5X/tZPxuk1SeKiYjCqeF8g4urLMU+dFqGNKxfPY5poaOmAxE0PLEtZ5m986ZcBAI88+ghefZ3l\noB7vEVFbj/fu9DkZ61PndpCkgo7D0njsURNCKexIUmE0npghUOnZPo6Yss6X/KbGQxML1+fHqdlr\nCSb4Xeu212TTiLiluyaVLtSx1EySU3ufhO7ISOie03xlT/NaFSscy8MH5FU7T7bagu53dprYoer9\nVI2q7qTgEJQ6zVfEKQbMBUT07tQmSeU/y3zfh8ffX0CkqaWNSrnTgpVCIcz6G91X+bnbE1fLkWZu\nueWW2x5sXyDNMCzg6JEDboXtD4aORN6kUrvO72cvC3k8QuKQJXz2N2GcssB+QLOzzDKXK24bjdMk\nTjuQOcwAACAASURBVFE76znU5/6usYzt4lU51gJL2TzfQ8iVfp0Zy8trEsvs7chKfvjIEe4/wfKc\nxOs0XrTTEAQ2kwi6XFxYxNunhHLzp0SYJ98VtBVHElcql4oos4xQs8gqOtBXyTOPK/ggQoVx3H5P\nYpAXzolAsSG6XVxawZOfFJT82JNPAgDeePMUx0+u7eSZNfSHpKiw5DJmrND1tcm48iiwJ3q/LeP1\nxhtCkVqneHPg+64zpcbm5pSkPSfo1i8ELjutME9Fkc9dltjwblcJ/wlSkvedIEYyTo72jMlKFxV9\nTtJ/PA++8ponCNfeCDKU4wBOcV37nDtvZUT+TY/P5824skWW/0ZDV4Ko8VLNUY+WMuq1TegJu7Fx\nMdORc9bYrwpt1Gry3MzNTmGTfbP6sRYgjJeAZulz62KQmj2/3dJI3bMWEDhyfJyNBSDej++z6IEe\nZqAo/r4gz70hzhxp5pZbbrntwfYF0jTWwqSp6x5YKBaxQVSWnJHVKOC6VWJ8cHu3hRZ77rxzWuKJ\nKvffoDhHpyMxneWVIQxjQBHFSdOJUrOCB8wwK20c0VbOr6fF/gboUST4KttubLMdxwHGCX/4kvQX\nX5ydh4aE2iS1B4z9Lc5L7OnU+Yv4DrPkJ94VXmZjS4jmRXJGK9M1dyLNnqz8cYdscnJWNaPveymS\nVBDv2rXzY2Nw8AA7M05P4YnHJK6oUnPaBfTyuozN4MoGejyWCu8GKk3mCM5yCh66aG4L2u52xDuw\nELQwq9y9o4dx+JAg8F3yKitVikEQyQ6jyCHNHs8n3vXHrlvHIU1HY6o0B0yUm5mV5mUobTx7Dmsz\nUvdkZ0iNe7okuMladPA1Yfw46yKZHUORqopyeCyqKAYWA/T5NyK6VHmuydixPW/kGigy4lXYEZt9\nzFNrXTmn+75Dy2QflALU6+LdDBryrDS7Gt/NSkDlIlIM6cF07nJXSkeOV1k5LWGNY4c6E+00yQKQ\nwJWx3m1up32Pf7+/7YtJ00IeFKfbNxi4GmBV1p6lUvjKMUnOzLbaGJIasa2Bb06WQz7MV1elWmdt\nY8O5/l1OIg70KwE6tdmNo35jzId3oBPtyBd9qvMoTUorgq6uScLl2toG3jwlBO6Ak/k0XdG3Tl0A\nAKxu7GB9TZIb8VAeFiUmFwrqFqeISCPqDGQbYzg29C2LBU4yaQ/bmxJaUE3Ejz3+GADgGPv3NBtN\nhEwS7bRZGTRkNRKpNGkaOeWcjNwt1x0GnNi6cp0n330NW5sy0R84IMfQdslhIJP6pz/9C869b/dY\nycL9dvkj6Q4S7Oyqi6wTqpynTVl541zdrJ+Tuqmpa1KWUYS8CaX1rMgnWxCypBD4Os5OdxOYsS4p\n6X787oesE6TNsjk03Vs6Mu+7trlctCzbGUekMOmYhIUAodKR2FJ52FbK3JD7HelL5I1XKimZPEli\nDIs6puyTpCELp7hkeU3GqetrN4F7ZS65VSi450xDbE5RidcZFEJXNXd3NDwN8kRQbrnlltt9sH2B\nNAEggUF3oMrfFr2+6mfKEq3Bbd+Rhg3KTCpM+9phT1YOdbNrJIPHNsXamqBO1VjUVU5b+5qCB3Al\n6xFxqm+mxPp+FCMayHnNkvajCjBwrhWRTpq6EkaPSGSrIQh2Z0cSJrvNHXSaghymiKRLxRqPXeD1\nW9c7JiVBXRGEiQWRDOgW7+5uIwzknJcXpbTyqSdEnSikwny308fFq4L2NhqKJgURaitamyYOeimY\nCgPV3LwIAHjzpy/x/Ram6fpVeT+KrKHWUse1jQ1H4s+UfOQ8L19jLfVWjOsbRNCeqmsrwsTY61iS\nR0sjtaTRlT8aV1euz1CmSsTdGx+ZGJEiSt4/DdG4Y9sbykM1TeOQj8kQsB2hNck22X6c4pbmpehG\n+06bkoTzNEGbXpSeT5nPm0vjeMahtLCoyFJDC6y5TxKXwPOcgr6DmHxhiarNPL7oFsoo75bp9WWl\nljIWEelJ0WCImL9LR44P7ibyvHXLkWZuueWW2x5s3yBN36RuFQzDAtp9QhxN1LAXOYzG3VJBRAC2\nSUuqBeP9VJSiU65VRzQCJf7mZBRUgWgQ4TpjoirAoOivMkM9zMYu2iTgu0QS96OxyA77vJSLIaol\n7Z0jn21QmWYwUA3CDipEB0XGt1Rxuku18UEUIU3Zx0hLPrUML9We1ST+Bz4WqK05wz7vYVn23+1R\njaYboHtJxiKKxxFP1pKwgEKgCSASpDcEqTc41nFk3XkvU/eyRt3QgGPRZiJhMBwiIJqlSBLWd+Sg\nm9QNHQzhENhkWZ3rj6O5mtS6G5d1JOQ9LzI2hw4AqvXwXAc2HPuOZ+xYD3RgxFMgrWhUQ1PLH1OM\nI82su6TJzl3DnYmWSvJjzwND8SgwTqmxTOVGaSlnqVh0JHkV7tBkT3+YiWroNhkxfJwlbzFynXrO\n3jhVy2lwwjpV/aYm9t5D6/JemqJnjwnRoJBgyH4/2kcr9hV5sv9PUNjDOWbCKXu1HGnmlltuue3B\n9gXSTJIU24220yCcmq47qozGA0tlSq/xO81Wx63MmkUP5tk3nYuNKk/3hhHaStHQlVVjTPzHIEnQ\nYtZcjxU4eKCqzwOn8agdGGcXhD6k9ImhFQqSVwhw4Zqgs81NQad9UpeGPUF6czN1lKnvpygrTVi2\nSBpRf9jLel1jXGouYay1XhWENz83i8UlKSFVVsAq1ez7kVzTICpioNljq/1xtJxNJcos+l0hpr99\nih0hmzI2KwdF83J+QXs3VbBEpKnZzZB95yPKkJWLFSRpkcenp8DMeGEk2ez5iii1c+J4GaTL9JpM\nR5Ng3vWUWrssKvcXL51DuSTXPLcgeqNeKLQwsAtnYDwU3ROlBHVVMJdPU2gvHQvHt9azshPnl9qR\nLDyvic/ZgSUZ25l6iFPn5RnRZgSu7zmpR44F5fnw+MewoOg4dMeSIxvn3dSqzAlofJcxP4sRsRKj\n56pxXu2tRGYAjItpdklt+yCQptq4hidzFJphV+TJgYyDIIuJut7sk+d8+1QjtRxp5pZbbrntwfYF\n0rSwSGFRLDJjnKRoU0mgVpbPpqYlvthLtddM5ERv2yS5T5VlZTywJOhvmb26U9938U8VPHDSXyrC\nYK1DLaUiM5WMzdmEMch+H3UiSxVJNtxPrSKoxjMUTej0XA/0gUpkET2qbFupVEFK1NPqMNhHGXQl\nGBtrneL4cIKYX+F4VRi3LJVC9B2/lVzMXaJTfjeKbYY2GAvTzLbvk4PZWceJd0RsY2tD+JhzM5SR\nY5mmotL+sONKN+NEhaPlvJYWD/F869huMl7NGG4QaDdFcNz8G0BBRk4fh29hAISBXM/Ologlnzkl\nxQEb7AYaJzGWqcCfEsENGUvWfkleYF05bcqYYaKi1BSKdhlzpPC5rTI5nAiH48ePinFoB0yfYyEo\naWW+hqtr4ilsJPKqMWVlG2RcU7l62R8PyfEq+Bmf14nYmPF77apGTaYoryjJdyImPKbGhn3PxXx1\nTOztAbK7boo61aNRTzDrkjlAnxKEPjnMhVsSPs7LKHPLLbfc7pntC6QJALAWNe1eVy66uIXH6hWj\nq3ukq30BA4paqFjtwqxkjLX0SrshDk3k+JmaafQnMrS1atGV9vmeZjFlpW1RDr/d2XWixQuM6XUZ\nn9xla4xWS7ZNE88JM/S7lLwjIimT4xnDItLMLlu3FAvaM0iuoTfsIop6PB9mVTkm2uVSgVicJEgH\nWQYcAHqRtn8gpzAIkMQDHkvFESQmtLV+1Y1HWJR7obHLI2xFUSMnU3mbaTt256rlmNoBMyAajRLP\neQUeM8Y6jv4Ix07P0aE7Xq8faNyNnF10ceHcCQDAyROCMHsU81DOXqlUcp059fyiRGXf+ArjYr/R\nRHZa2RDaN8nzAlctlDWPVJ6mQk3rYvBafloOORZG+9k3MTctz9kVPtP9LnmRfBaGkaMzuJYMN5aE\nZi+asde2EorM9bv9XmfE2yETw9NjkItpR1gp/HdvMC5u4/v7C2OZicqnICg4LmfE5z7pZfJz8kqO\ns3f78dl9MWl6AIq+QZGTQbPXh+HDq6riWtanGn8W2aQ0W2fAf06SNNNUJNfkyubWtuvP45S11U3n\nszMzXXeTbZEkY0s3LuYkU6mFqNW0H0zE8yA1iO70Nhtf+V7BJVqUSLxEOlC5Lq7a5vYQMFrepv4X\nX1SXMeq7B71SkRBFWKLryPHTck9jAwwHSqam6+3cYfl8GHcR8FjRQCbzy9T5bO5Kvf/BlYOo15gM\nm6arzZCHKn37gTYDq6AQyvX0d5UULfexqKrqfjZR+UYnzXFF8zRNs5rpQCc+2cLGUgCgk7oxBilk\nQq5PyZimDKFom97lpUUs85y77B/kW50suV+bOhJ64GuNs9LWdNsRWtFkImQi2yMu+bgf3WjKgvTM\nj6QoIIkHCMI6x0l7XI3Tp5wD6GU9hzJFeaUwKT2veMN5KR5Q9zUMQ1iGKHSy0JCPlndqWGGU8K80\nvUjb8u6P6eI9zfM81xhPqXsRy5OVrqS/5UIhdImyvXLj72jpMMbMGGP+kzHmhDHmXWPMF4wxc8aY\n7xljTvN19k6OkVtuueW2n+xOl47/A8B3rbX/pTEmBFAB8O8B/MBa+01jzDcAfAPAH/6snaTWYjgc\nZio3/R4C4qjZWS2JJOXIjHyHAe9KIH9ra/c7UiWqJKcPh0NHz1FkMaTLoUmZQWQRWe02KNvETaoH\nuQREiJkp2af2MFKy/Ta7NKowRbe7i5CITlGb5bbDmBknk3VMDLnqDQeintRu7bjxUQ3KCldRXRpT\nq6/8PC0j8EvcRDUpSc/gWAV+7FDH1pYkeVpU9day03q9hmKJfXDY18V5pHwthnJN5coCOv1w7K+a\n5BlNlLhWRQ5Z6vuMzkJQ7MIFG1RqOn1aNEZ3SaxfWlzB1NwDALKSWdg2vysHmp2ecor7Pa2KnSCj\nW2uzTpVaL2kncMQIiLOONK5/Gkeucj9HSlEBVw4blpd5zBQpn5GEAiwR3fFBPO619Pv9bN+BKgOx\ngyVd0lp1ypHtM3ERTXYm7nQDJvvUlS1YTZSw11LE8EQ0dLSrPjuRTrby/XmwjBxPjylR5KkE+R48\nj7+JQuEme3hvu22kaYyZBvBfAPgPAGCtHVprGwC+BuCPuNkfAfhnt3uM3HLLLbf9ZneCNB8EsAHg\n/zHG/AKAVwH8AYBla+0qt1kDsPx+OzLGwA8LLl7Z63RdokZ1JZNUuyyq1qV1Af4KEZJPaawayd7F\nsiCNTrfjJKeU3K60kSJX3vnFJXQY+N7akFLLWk1QpcoWDIZ9bO0o7UflxuSYW1uCEPsdQUOlUoiQ\nKLZWEzTUixg3M5ROK/WRxIKqEiZ7ut0dvh+661eyuOuMSEKyDVg+5slqCmtc0kgRXYEQL2CMs9ls\nICLC0aB4qSz7X16USEq9Xofh9oO2aokyOTBUtMyAul8cKX+U01ChDONEMHyH8CeTCtwtAi/CoCfj\n/ta7PwUArK5Kv3d9LooUaqiUSy6pVp2Sew/IvdL+NkHgO8K2HekoOfrqeSaLbXMvitY0Yqyoy5iM\n0jPZqTKj9gCYoEeZibEBPDc++qGO34DI7sJFoVFtbpUxTapdjYIrGvdXRG18z8X/Mx1OVUhXypB1\naFHHTdXZU1LTNBZsjHUULe1brjqppRFtyw+C6P7eNkoZGi84yMjx47qccTxEzN9B/z72PQ8AfBrA\n/2mt/RSADsQVd2bl6bopCcoY83VjzE+MMT+ZbOCUW2655bZf7U6Q5hUAV6y1L/H9f4JMmuvGmAPW\n2lVjzAEA12/2ZWvttwB8CwAqlZJtNntoslSv1+u7zF/AQJfGeTQ1WCr4CKkMvkBqiSLMOmOZfa6Y\n3XbH9enJyMqKMIgIPM/N7rqK16eEXtMlAvDjFDFjXs2WIM5OS0ribKLZ9JEMMPvEtAf6maBmjcV6\nXoR2VzLDPVKWFPlqT3PP850gsXaNjCMdG3acJI0qTZOstwrpOQOWbjZ6FMbo91EknUYpSwaCYqqM\nvXpB4GhcS6UVHkvGuMFF2WNZpJeOrIkqrMG3imrSNHHydpqpDEPSwdjLqNVpoEmCf6tDojn3XeIz\nsLRIMZLZaQyZxa/XihyTEo9FVOl7I8IfSgOaKGwYOfdMUi7rlSPb6Ns0298E7ydNRtCkGUc4E+wk\npEnq0LadYKxHjCuurspPZrfTdr3BZ/hMa4x/bobUr7DgqGPaYSDUfuIjfXY0ZhuwIMLrqhegVCYi\nUd9Hwdf+7hOImog2jmM3Tirhdr/l2UbN0bFsekNXUecxaLdNR+L3YTSW6f52a3bbV2qtXQNw2Rjz\nOD/6DQDvAPg2gN/nZ78P4C9v9xi55ZZbbvvN7jR7/j8A+GNmzs8B+O8gE/GfGGP+LYCLAH73/XaS\nAuilKdbWBXXEyQBzjEcqOuhRlECz3sPB0K0qQxJ3ez5LBbXLHeOg7W4XXZYXlny95HGy8E6jgQ6z\n7or2uiyD1P4u1lqXZdSWCdFQ4j117QJJknocp7AskfSZLS8wltVnL3Ibt9Fj/yDNumqmXgVAYHwU\nAkGElrHLYTxOWNdVtRiW4LMVRru9w/MgQkcmKjxNBF2lWIhyTp34rQWMxzhxQZBNp6dkb5VBG+mj\n5HrvTAhrEKX5HlAMVQGD3NALIqxx4fwZbuNjcelBAMDM7ByPQeRE0vbSiqDeWq2OZodZaWZ/tVzR\n8RA9z8X2FCnpiaUmQ5qTY6gxTkVOGpdNbZp1s1TTh8fLEG3qMs3jRHjXNdOY7DOXaVcYKi/Hjkoh\nQZJG2NmV8VIv7Nw5iZ2f4VfCsIB6TZ499bgWyFdWTyIMQ+e5KfqfqpCDTJTc6Slv06LAwoMBfzOK\nrZTzm6ap8260h7mOnzuO592/uKd6NHGEYV/7VJGVwpyItpPR323geS52q4Ift2p3NGlaa18H8Jmb\n/Ok39rIfSQQF2KCeZcm3KPEB0AdLVW2apMdgRAFbKTna8Gp9iy4fEzu7u20UlC/sKWGdN52VA/Hu\ndtY3hQ/NFtWJwATTYBA510VvQpXtdYvU7mz1qDeZeijxnFNuaxDxGhixiAfO/aowoaGN24zWtiPA\nIJZ/l1nfHhZVkUZMieuwPaxvSPJEa9e1OEAXAg9Jds5FJXLLNoWinEO7V8QwIUWFk5HrycNDZcUh\nBiocpeR0JWLreRW8IXa3hUB/9rRU8Ow0OKnzxzc/O+sSN1WOZb0qteulmkzyMyxi8K0P02FCT5uH\nFeSaZmbkmubm5hHwegaRLH7KJvLdhOhlE7z2RHISQdk2Mm4GmRLSuEvrZk+btdzVe2OyGTJ7dRx2\nLmRah8/nbm5OrndutoYBS8W071WLal27Tbmm9bXr2NqSEM8OKVmnz8p+ihRTmK7XnTtfreoEy0IL\nFkPstrLmcLogDqPxKik1z/NQYKM3G+gCpJoQ1P9EtvA4+s89cuEHXRmLS2dOYXVVCiDW2KBwZk4W\n4CqVyx5+9FEAwOzUNPRGaMLsVm1/1UXllltuue1z2xd1UUHgY2l2Glco6x0N+652V2tmfdJjemQq\nh37glNGXqGbU4Pe3uQqvbgji7Hd7LkGSTgT4lcYyuziFId2RgHWqcSrHarM2uN/vw9DN1OSM1oG3\n2MtF64YrldCtvrGjFdHdYdLICzyEoZxXmehPa9eVxe/7BiGVqdVVVGoVWKYZD8V1azcbzoUscWyq\nqr6k1JqRO25Jsp6aElZY6gka8XzP9a1RkKGelu9cLnVbTUZvIpwvhTJu3ZYg6k6/jR1el45TQoQ5\nQ0rNwYPLgF90Ywdk6HhqTjRCtf9Rp9VztdO+UxHS9s+KLgtY21SXWI7hudLIUVOUrh6IKg1pueeo\nKvs4nUi/m5VlWoco3bbq7o/pczIJo8kxIjGl0Ol3w0LBKRjVPUGIU0TbB5flma+VC9hty32brotb\n3mrJ89agS99qtrDBVtN6rCNsqVytymvKunyLTFUrorfS7XX///beNNay7DoP+9Y+59zpTTV2sZpN\nkZRDUqGMxBaEQHSMRLCcWDYMK/lj0JACBRGgPwbsGAZiMgIi5IcBATGMBMgEInGsRIoMRVEiQUFi\nU0qMwEAkhpIsiSJFsalu9lTVXV1Vb7rTGfbOj72+tfc5r7q7XpOsdxWcRTRvvXvPsM+4v7XWt75l\nvwF6Hxtty/U+C70H2q61sEOjzxFR+xB5vn83Pm7/VI/tF3/uZ/HrX4mFEGeq7l5NtAxYNV//nR/+\nYQDAd3/0O62zQ3gywecdbUSao4022miXsJ1AmoUI9mcTTBibbGtAY3qPtYOjVHHWe6xxz4PFDPvz\niEg22373SKexpv1FSsCQLL9t+gkX9rWR4HCgqGy+H797+DDuu1bKEXyLA02eVJqoOl+ryrWqqcAb\n4QatxtI2W00ohT6FBkVCaZtNRF6Nrm/9aHyDtZJvF6rxSKWgt9+KIhAbVVqaTmfYUxI0ESwV5hOT\npoBX6tJqq4H9IiKxoHEqH7oLtCHCqZQLSUh4quId9SYiyxe//hUAwGuvxfjqbLbAzTsR0VxXmthK\nk093bseY040bN3B63k8maF7KUL31CALAtjrn54oIp6pMf66KS1ugC0yqKYKzBBVpKP4CMky0JPQ+\ngWDIKWTjiOcokeWDH8Y5qdca/ywckuL7YF9WDpmNSQaIznRc9cmdTyeAIuk7z8Vz+YE78bPTHlCb\nzRbnmkh9+EiLJxRZnq1I79IhIXkXjJ++/kaME35Qt+9EcH56ouOI22EBh9c+5QHJQ2LXyOR5McGk\n56QoDH0O+0O9mzGpc6bx8cePT/ANLQzY+BSjBYAHj2MC7Wd+5mcAAM/fvYtPfCx2an3+1u2n3icw\nIs3RRhtttEvZTiDNEAKabW0k1aosLMu30Vn4Pgm/j2NGWxBw63pEhKQc1Tpb7mus4k1VHS+ArNe0\nSmsp2js7j+seuSkODuJsuVrHZc/OGKdUabhJYYIHp+fUGlRqlO9TX0JosGJJpaI9ZqKpHL5tWqw1\ne7muGfchZUNlvaYLIylvV5GqtNnG7VJDknGv+XxuOpATkpiJUJilXxyh8ey1ouR4RbehS/JhlHKj\noje7FhIkTStFQ/4cJ49i1ewf/sHvAQAePYzq6dRzvH7tupGhr2lnz0lFub34d1FVCFqwakrkjFuy\nr7d+Nu3KRDi2xxr/m1BzE7puipMl/cv4kQTYxNgZRHlJOi3T3OTKxqzqI0KjDhWpLJPos7NYZkjr\nGtBkTLRP2Uro90L4NGXl9R9lWUBZZj3ECwDTRbwH9vbmuEYyvJ7DR2cap2+JYNN1Zlx8q97Pl78U\nPYftWczSH+ztmW7lNZVhvPOcquTrPbQ4OMJExTKsm6jum4j97Cw+y23XYk/vg2pQ7kjaWD/u2c/Y\nP9SY5tn5OTqVgNw2fSoUy7B/8zdjz6vfrn4P/+zXY13Ogb4vntZGpDnaaKONdgnbCaTZtB3eeniM\ntZLLm67B629EtDJX0jjLFNmxL3iPhRJXyZFca9awljirHGv8s+uCxaoY4yN6KzUrX0wXeO1+XH7D\nTLhy5NjzRpzg0WkcI0sZK0M4FHOI66xXK5sJ59rDZ19JyEtmkAOwUTY8ERIRHvd5sLeP7TrGYx49\nfkv3QSHauOyhxmWPjvYtEziZcMyUvYpIow3X0XpKysVlSZYnB1VcmcmMUT1d0Y9KsD3WeOrxw7dQ\nVCq/pZ/XbsYY0QvfEeOYh3t7WG3i+Z9PVXhF21BSvq8oy9T/RuOxJG1PCqJ77S66XUAvW9bDXFGM\nHm30LHKOpf0JsbijZDJqfTK6DAQ7cgkF6W8uK8v0aflBGSX/9l1CWonwzoX6kPhJWWUZMABECiPt\nM1bK8aQ+OZWVERPRLbcqxrH1vXXjPpVJUMdr9aXf/yoA4GtfiSitLAtD5EdH8b56TntnUarvzt27\nuHUrZqynykZZnsbY/IsvxnvnD/8oxh/LxQT/+vd/CgDwSeVRlixt7MWc4z4bRbNEzaePY0zz/qOH\nEOYclK9OvnK9UkV3p8r1VWkc2LdxORuR5mijjTbaJWwnkKZzDpP5Pkqd2YquwFYnmvPHykHU7B8z\n5evVCo+PIwLrFJ0t1xT10DihyoR5b63LLaY5Vbm1hcZOT8+WeKTItN1s881Ymdxq25kYQqmZwdZK\nGuM6XhHxfDJBW/SRIBT1deytLQUKzSJD0TGzj8VCK0BO75l0FUV0K43HupLxPEXPSEi1KNifh3FL\nBvva1CZDx8oYotc4qm89JhVjXfG41ss3AAAvvRh5cA/eij3dq6rE3bsfBgAcaBuPw2sRaf4LH4+o\nYXV2ju7tOPVPp0GXiYjkUEs6m+0WIcRllmuNB4Z4XA+ONTvfME44Nf6kiS0MQJlIEuwIKQUe1ydP\nEt5YAikTzvX5Qz/mGb8jmuRKttesZNMGomNI2fkMs+oiikJ1nOyImYsaW+Z/wCkUScdncU6F4eRk\niishXj0avScp1MHRkJ/qsvV42o6VwdLWEZNNSmeezCNFeffuv6FjiOteu3aII/UiiPTv3YvP1xtv\nq5COJiEW+zO8+TDGN/+1PxsreT71vX8q7lM5oi/+wZfxdc3ia8oB3/Nd3wUA+NrXYimur0p8SEtQ\nK72Qx2/HPMAb9+L9utVYLOrGKrouyxLdiZemiGAym2CmFJjt+dJqr3lArHtd6Utz23o70a+8GU/M\nchlfYHSV12tVZoaD15u2ZIBe74hH+uI9P10ZlKefaK8X6leGCkVB4rW23m3i+lC3fKqu5WJvjpWW\nRDZaBun1RWbEaQSUSrNiDXsHJdRrv562qzHXgHqlhHVSs6g6w4flfNNAwOZa6r+SCI94oy5Xp4mI\nzPp2UNUmHu+k9Gg38ealCtOJlq8+fBzHVeqL+vZzt7Gnk0Jh+qGaHOuSmg/d6GowkVAn8uHGo9YW\nwM1Sr3XNfkR6KKwxDsnFtTJHCnPSXHoh8IXVaTGAJX9y5XZzmVlrif72g1jNeniHF2Pc3/Ctt1Wp\nHgAAIABJREFUiwvr8CVniZtBe1mqJjknaAfFGEkzM+3HElJ6vLwO6fUa7K9hPb73fffcAwD7Cena\nrP13+rqoilRXvtFnjMpdfK5WqzUeTeK9QnrfY+1u8Fh1A6hqX1UV3n4QX8y/8r/9UwDA7/72F+N4\nNvG+u3fvPh6dxWV4/3/5C18AACz13tzb27cCgamG9b7j+bsAUjvvP3rpZQDA28cn6Zrz2jylje75\naKONNtolbCeQZlkWeO7aEUqd0d6uGytx6lRp6FCh/lrR4K2bN3BNRS5Olto2V2eMma5bk2jbeDhD\nHXGfXpHX+iy6DPUmqSaJuqad6mBKk5AERTe2mzgurypC1CIorFTMQZQsvu2IJrVfD9sTl4W54219\nrgPTrpkaxJ9MZ4ay+WmiEJaRiJex3oq5R0LCP/pEYudK67xI9SahNn0bx3D//it4442Xe8dz+04U\nz7h5UwnUd+MMfv3aEc7P2OFPaSJKXzk9jkijrltT02msh1Ic18k5S/6AolR3rkiJNyAjRRs66rBt\nVE1cOzsa21steD9AWvFIex85p2cglZlyRcn1tYQSaSyBiunelkl7kt4xGGlbfEoAGcWo33uIepvI\nXHkbl3Wu7B9rHEfoLZyHJWxcVuTQ3ydpRuJcUqfSnTCEVS1iSOXk9DSjVql7r1Qf6nWuVyvUqvJ/\npF4FKWXswVVNGJLaQi8nvCam/ujrWq6s4/VtwN6MnVW1e4DSiqAJ0YklPaPiEQBU2tXhwx/9DgDA\nDRUCeu2Ne3jtfqTKHT9K/biexkakOdpoo412CdsJpFk4h/35HA1jH1WJmjOXzoSHKuxwfBKR4d5s\nioWKXGy7GE/50C3VW9R+17/x/8RYx7pZWdkdgcWhrlufM1kUjBheMygu1NHUOFC3wsoEJygkEteh\n8EelEmV1V6HrGGRXFfXtUreX+qG3OsVuVQewKuNsOtHxBXSJDqNjp6bn1oi81MPcM0I5+8QnNkuC\nD0yEMLnQaTzq7Cwiw1dffRmNSubd1lgQSf17qpR+9wPP6fGWWK1a+3cch8a7FAls6gYPlW7y8FTj\nsGW8jhAVI0GJxUx1NIXEeu39rkmMtXbqbJollpu4/vWDiCAOFrf0QBl/zsjj1Px7l8C/lSsOYpEW\nL/ThCVqb9EBgn4m6NEB9SAiRMb6aiR+935hf6jIptjDwkIxIb3qmIcVofddbJnGZkoYnY5qmaM7+\n54GZ0kSyoqwdqXekedVNjVY9IkrBpT723F6LGVdQa/U+DUqon8w1ETRpLV7NROtEaUqWJHMdHMti\nhz3ps9eYlcjqb+bV6fPJ98gn9hZ47la83155JVKfXnrxVTyNjUhztNFGG+0SthNIM/iAers18dpQ\nFDg9iZmyo30KY6hYsKK2ygk+8kKMq7k34+xyU4m70NmKvc7rprMZq1IU1DSaaXTMSHt0YG/kiJBI\nnk2ZxgaFzljzuZZw6j4q7Qwpqq7e+BJNq1QhzYyzTLFuSOFY22xJAd7pjJckHue0qhA0lbvZqqhH\nw4xvvwd2UU4NXQRm1pmZZTDLb9EpMn/zhOOIf09VqPXg4BCLvYjcbt+KYrWd9uTZ037ojCv5zhvS\nKgoiu/j36Spud7WqcXquLAMLC2ocWq+nR8ByFjP2i724z0ml5Z6K6s/PH+j2Hhpank5jnG2un2WZ\nx337XRoNkbGnj/MoC7LZn0w8YUyya4Kh96IIw6Xsw2KZAwk9izuGgNSaiKi4H1A1xIiQkKuuQeRL\nvChS2PYYW6XANskRIYSMljTESSwJVe+qE0CfEQLejVIBDxZxr/v7i4RYF4xTxmvE/lwujxeTp64e\nQ1B9QraGdwipu+bwMtj9IpCu7w1wDEFRb9t1icnAUPXAK8hROZXtP/7xKNzx+V/9Z3gaG5HmaKON\nNtolbCeQZtu1OHn8GKJv/uVmiyPNxB5dj1Jir7wZSwgPlX914+Y1PFDO4LH2HJ9q5vjBG3HZzTrL\nbNvUo+K6UuV/Qoo5Sqe9vBU9ekU4xhWdzEwEdrEXkeXD47VuT7P9HVsXFDYTtioNt1XEye0WhbM4\nIBE0hYYbnZVdVxr3jctQfIRojyIHZVVZjCnFfShUHPfd+q11qNyoUCv7qpPfd3T9ENeuR9L5XDte\nrlRCzKk30FJgdrO1LorrNdt7KJn5QeR4SiiMP5e4lnH9pcZ0O99arLczIjZ70jC2plJ7y3M7B6tK\neaPKTz3cv6PjnBoPz7iI1pmQWfksfsiYYTHgThrbIhhCTVnpPqlcRFJv9NQ2qGc+JPK69bG333S8\nbYqHpo6V+jFIp/djsANuaCZTFwZZd7Fe8P2SzV7TbQJFhlg9vZiAQxVeWUxVTEYLQir1euptDWHH\nSn0uWXLshHzZoShKxm4hl5Xh2aTiZ59kGbAFeON9Ivjrvo3LrDFSCowLUhuPMES372E78dJsmhb3\n3nqAAwu6d6gq7bmjlBSqlxxqC9M2OLxxP1IFHryplTxtPPql0m2o/N02jfWxOTyML+E7L8S66Fde\niZUCdVuj82xyxpcm+7HHlRfzub00VtqIqmnpKvABiA+8951tp9EXQ629guiKHxzup/46a7b1ZUO1\n+LmpWwwJ0/YyL/uk6K7ZomniPqhas9aeReyjUlUTOCXozxfx/FzX6hyvD3xVOkxnVH7hHdVvgRr0\nwa4bYKN1+N7FF+x8GrezUBX1ersyN4n9f1i5tNUXtxNBSeqU0rmcVkvVuow1bus8Wk0ynZ9EjQLm\nPqaTeCwxoaBjHRxJyJ4+U6bX30iXCuo7JhaPv6i1aS8ydQmDt8ohJi14rXv0n36OyP5m8pMNzZq6\ny0emO0sFA/k2gIxyxNbCWT09J1NOSKnSiMmj9ALzAy3KTiebxxrO8b6xE0MX2xqrKVBYd97CBDN9\nDoPpacZrt90yfDIzyl7w/eQaLeQnatDAr9DnQLykxJnRsDKhUKQJriwL++OyvYtG93y00UYb7RK2\nE0iz8x6PVxvUD5PKUDuNiOTazYheFus4W1H1vAXwpmpr1pog2dTsXBldwUNtBdtutgjqhrB97am2\nRmWpZWzPq3Qi/ZxNSKHRJMj+IbZNnGc2LI7nKaSfryiwbbdYro51fSqRsw1uSgDUWgtL9FeU1Lok\nHWVlbo3Yen03syORdwZ4oUKT9uk5j+iAk2k1qWzmX+zFzzlV6FUJpnAlCj0eUknUqzGl+bUKna42\nBcoJp3G2N9ZTwpI935kyzWzCkrxoB1pGGTcbj4ttkImcqJV5esK2xEl71TOMYeT2RDnCoFtk0sGM\n33fBG63GGX2ojyYTYdxbX6NU0MBzoydHSnNhqSrkfU5I6iMmNhEllUl8v3dO2/l0XG44PoZoKgur\nkF6zVK/CdCyrqSEuZ102i+xspTF1PhgqI4uI7jXLgju/wbE+P/OZhoaUYL7Q7qdlWaDT57HVJFGj\nlKNOz5+nRxdmqaTRMQnWbzkc7/nB9bPEV2qrzfuVy2y1eGTSaMEEGCaSLCxwOf98RJqjjTbaaJew\nnUCarigw39+zzpPSdbhxpErOqqbCWAwJ6B7BZqGPfeeHAQAHh5HuwFlms6W25QaNbpuE66Cxx8U8\nbu+k3qClwpAiJKoHUaSj9XNIMdN9RBS5r/p9DHo/vB9jbE2zMcRA4nutSGCuaLlpO2zXJIbHGZrd\nLBOhvbDYFGOk4oiA43Y7pTY9enCGWulS80U8fzOlEbEXUuEKQ3tzpXNRqIQIuCwLE9uwEk1NcG00\nyTMNLJmcAT6i9W3NmFec+Zut9nAPwQjdjCkx3sV+MT54u26Vxqjmqpp0cBC9g1dejr8fnxxbr2qe\np07VprouHguTenGZAfk7Mf4tOdQpItScgo3TYmIhqj8BwGrJmGs8J3NoP3Y3NeX9dwIxwYcLSMlE\nOEzBPX6URWkxOkOIpDTpcc9ncyz0GvNYmMQy9fimAVE3EaEp3BckuWdIWMfDBGRVEeXGlZqmw1xL\nKxd6L3fW94f3UGVJGIp6rDd89ohq4xpd51NMk+W22tGACmZd11nvd4tN8xqRClaW5o2V1FkdXIiG\nidKQntlL5oFGpDnaaKONdhnbCaQZQkDXdjjV+Jt03jKIpc5WndJaKPywWS7hqI2Z6UkCQKWlhOU8\nxRDPzvo0nY0ilfO3VIJtszHxAfb5aTpSpLXsK0wTyVi1KJtGY6MkiiviAbxl7xlz8npMmiRF0zQ2\n284KSpHHo5hoTLddnhoyYRlaoaPYdgnJAUDTehQU4SDKVSQwn7GXUbBzYB0I2eHQSOCFdSmczzVG\npPG2bc0y0lM7t03DfvXxHKypLarj9W2HfRVOuH64r/tWJXEtF22aBufnSz0/qpm6XOkycR32cCqK\nypAgY8KUvptNU78jowjpEibgrjG6sigv9K2x2F5WPsnvGc8tTameVK+ZrcrFhwiHf3cSEr2JVDK9\nx53GhHl9RGAbdEZ9Qu+YxIl5RMxy877LiiiNpdFpLJ59qq5dUw9Ciz1OzjsbK2PmWyW3lzqW/b2F\ndU0o9NlYaYEEvbum7rDdklpEyhE9N5WT0wdh09aoNGhO1LjWMl5KMOb0K2NhpXpPXSRY6S09m9Qg\nql904H0HtGTHXM5GpDnaaKONdgnbCaTpO4+z8zXW2v1uryqo+4vjsxg/YgyL8nHb5Tmua+aVKIoK\n5EQJayVxn56eY6Job6q9zZdKiGfGcTqboCISYexGJyIqnG8258bHbFtVlD/VTpiarT7Yj9v3IcmL\nESFOpwe6PY1pNVuLn1qsSs8JPyfTKs2aup2NxtTIa9zbU6Lx3gJTjQFbWRxLU5Vn2XXepLkWU2Zm\n4+cp1fFLgdMsJsVlt9pTxrKw1r0xxeS8Z0AwfnhThne4pkiTosOp9JKx0cJU+Zeq1k0ZQMrT8Ty2\nzdYEHQ4UhVZ6bp+7HhHQ+QpYb/reiZ1bQ5y53FufPW5iJsJj6zKOnyqju340rHCpdJCC8mQSBEml\nkTQT/GDcjuLUFpN0aCk/N0C+uZBHQZXmAVmexyZOjCSe4pRK9mZPKt2E997QLGOiXhEhxXJu3ppi\ntWSBRLxGRhTPSKwU+mibPqJLvZEYj+6y66DjMAFwPf8I2bUhl7Z/XYPvjK/L4l7ex4mXWvDgTPQk\nFQE8nX1TSFNE/paI/L6IfElEfk5EZiJyQ0Q+LyJf08/r38w+RhtttNF2yd430hSRDwL4GwA+GUJY\ni8jPA/g0gE8C+LUQwk+JyGcAfAbA33mPjcFVRZq5XYGtvv0fPlYpOJBzFoe83WxxR7PlzLCTD8ZM\nIPuBLKYT65rHOc/rDH7tgC0oBOcbVmQof0zHwKoOhxbdNiLMWpHXvragOLwVt0+0u9l6i+9stVfR\n4VHsneO7cxtDIX1kOKH4sLbN6JrG+IGsqFjMI1qbquBr6pYJFCX1xRjD1cqbLZFBY8htpYhuWxP5\nUlDBp/5DJizM+ZWlcNB9in3HGZsdQyfMgs9nmGvsMo+txg3Ej6IorJpkrufUKlv0r33lkx6fPLae\nUYyBUXRkvT7T7e1jb9HvddOZUAfjxg51bWrD8f/zEhvkgg9F1sWSZZnoHbcrJMnaDXiVrKtsQ2ey\ngptVjOGyWscz27xhzG+bkD1PV+ijNEjAQkuLjWXBcQ3FjtNh2gU8PmYscmrLyqCKKYlzMzZZGhOB\nQh28f99+GLfX1K1Ve/F+2LA82UojyYRxqWyyd18lxJgfQ8fqNLt0GaPAKqU0hsx7UsdX2PY8eN8+\nqevnu9k3656XAOYi0gBYAHgDwGcBfL/+/tMA/ine46UpEoPfnnQAB+zpw3VyHh+OiT78SyXY1qst\npjejGg5farV+rlbxZcAb7PDwAK3eQG8+jIkf25e6Nsu6M/UgErE7TUhMy3iRzk43CKQNaVveo2vx\nZUkq1FKVfdpQ2kubiQO6RjnVhO50qcKhpeu74Ov1OiUXNIExnbMmm2VoSrJ2pd3Ejbq6fKBJ56qb\nNinJmIYka9hTvbVXRZlABjaK3vZQXLzhrH2wvsRn7Gk0qWw5qhO11odGJ8OiNL+ncv06dT7ppLfc\nODqwkMC6pkuvdfQ62aw3jcX5SZXhZLqYslihwNlS6VF67e3Fau4dxy1ZuR1LGjm8VEueXqyutz6/\nduJM7efeq78Xt61Jj9LFAf/z34r36MO37uNQJ3vqQDK8MdPno5qWqa0vXVtzRTO1eCvdZAggXptH\nJ/H8nSyTCn1qixw/eV9QgX1/XmHOVti6T7rr7JrQ1g3e0Ht4quW6e0ohu/8m+2rpeLus8EDPHn/L\n6/q7pj8JJL1UXSbfJgtAtEiEFDejviHYdbvsS/N9u+chhNcB/D0ArwC4B+AkhPBPANwJIdzTxe4D\nuPOk9UXkx0XkiyLyRVZPjDbaaKPtun0z7vl1AD8E4KMAjgH8TyLyI/kyIYQgMnR47LfPAfgcACwO\nFuH69SOcqbq3950lfuhGeyUNnynybJoaa6XwQKkpK7o1+nmkjetbH0z4g/CcyQEizza4tE9FmHSX\nqNd3uD/HRF0hJovYb4fJFSKXbePNddw/Yh8borW4zKSqTIOSCu6rtSJEXbeqJjbjU81ls2ZSRsn7\nmsgJvsvcnD4ZOnfVDHlxxiYf21w3h6HsIkEWq0WpIhOZYKrAre6zKbgXhX2SFkMP4iLp+6L2YUcy\nunWe5FjElJ3mM6JPDb8Qga5arPWaMPyg0Qe7zm2XCiSmjAiQMa13LT2Ik2WNgR6GjSeVxeYoiJqn\nijQtkePseLbLGHpansWCCLqkx9qy5qVvvGzqUDM9t6RuHe3He+ro2gEOlMZlHT51mZkqVE2nk0R4\nd/37loUSudiHiV2wEEExzVwv/snxCWZlv4SU3l3ZJAWvO3e0jFnDXUt9Tnn/Nl0cb9P6DB1Dz+Uw\ntBASsB8qP1kIJCSlqI5hDX2+iDTZiRUZbeuS7PZvJhH05wG8FEJ4EEJoAPwigD8D4E0RuRsHI3cB\nvPVN7GO00UYbbafsm4lpvgLg+0RkAWAN4AcAfBHAEsCPAvgp/fyl99qQE8G8qkw4ot2scXIWUSdJ\n7gdTEohZPja1eBEJzktd55oquBONPDw9w7GKgbCz3slpTBgw6O7KqVFmWHIpnhqX2g2yqjBTHc1m\nQ0GAOO+cn8XtnC+JhNeYT5UETUoIuxhqqZ+EBktFG2EgYcVpcNttDG0THbdGMVFSNEUOvE+6iJxR\nrc91omeYQISpug+oM4UzgjWl0ogaWZLYKuG59R32FzxOzsGMI6lAg/cXEiykybAwofXekh7DfTHO\naEF+n5T4YX3POc74dbXnsDfTsbLXTcuxK0G/PUWn169TKgppXCRV7y00ydi1RhWr2z79J2k3JhR/\nUSCdx+JNVd+U1jWGLuwTbxQzB6fneV2zhDTet/dcRKfOOYs5TiaMJcf7dV/FMw73D7CviurXrkcy\ny2Lvmp6DPn0nBMmyYYqSmT1Vitp6vcWJFiJomNL0NNmv6rnnbrJJJNYqIrM81+vARKsJvHS2S0sA\nWT/6RKNK3hLDeXpvIy2bRFlIFdN7UZ9pJhuDi1t8P/a+X5ohhN8QkV8A8FuISenfRnS39wH8vIj8\nGIBvAPir73cfo4022mi7Zt9U9jyE8JMAfnLw9RYRdV5iOzHmkGgoBdaa/bUZyMR/Yzzk5t4CUw1E\nnZ3HLB17+pSKXs6UlnJyeoYZM866waXSPUi8nRYTBI17iKEyZudUmmy1xUpn/gJK0WBQTMsguWzw\nnUlqrbUv+0bpSts1xY6DxZjC4Di9saND/mP85FUjAONs7FwmtKEIgvJglmkUQyQpdkhqVcr42lxO\nCg1FHHT7zZbCIPMsQ8zUZb/Yrwhivw0znjy2SZloLFXZD7J2xlgmwvNZn53+9pJObWsCFhUz9JRc\nM6HoJSode9NSjo0od977HiEYomSPIJ6lqiKzo7E+NhwXz7+VJhaSJP4oFqLXOhU48NNZD6tK+yU1\nzVI/1VtBQFOTMRDv97PzeP4en8ZnZTLdYrGI9/bBI+3zc6isjUKLMUgDCj4TV9ZDKUjRYufQuaHF\nB+sYgLX+7govZ9OJFUYk0/vB8Z4iS6VBCBrrNjpSXLYJGR3LUKgOy8ooGbd3FvlkKuWiwHCKeRKx\nyoVl3t3GMsrRRhtttEvYTpRROhFMpzMjrvu2tfgF44FeOWe1kphx4AyNnmtm/EBjOCT+kgBduQK3\nrsWYzoaZwZrZNCWXI5jABNFa4r8pGqlrKw2jMER7FmdaZsQpQiwiRrReL0/1GMgIoKiAM+6mIVSN\nA5rMlyssQMZxFUQCZV+oBBIsFV4MyNVFFsuxmX6QWe+yUjPG2yaSzg+Qyk7ZYqB0BVr27R501qQg\nrDhnsdHC0Bp/S5xAm/HJS3UJccUvSOzOWjI41/vk2WgdYmdFpD4xCVkQfQeIIz+W4hLKnIAKgWjn\nzqooDYV6JWUzI83jnc/EREIYhy0VhW5rcnQTedw8B/aWHPBnRQSFZrmn2jokeOXbas8nSLBrQ15m\nUUaUfHj9IwCAoxsfxGym8nWD+Lpl9S1eKDaQMJCw43UoXWGE/FMtcz7U4CbRab1tsF6Tp6zHwE+N\nF9dLFbCpGzR6jSyejcG5KMrUULXrc3wznn9Gbkf/M/TvTUBMIDrFSJ/OduOlWTjs70+twdf5aQ2c\nxoOkCk5HNRulixROrOJgoe4424fWRlWJn/v7C3vBnig5fqt/U5K83mzQ1Wzo1b+JU8VG6hOz6VQ7\nkm50Kk/gUaU6Y/Zh4YtQH5aiLDMyb58qUWQvEz6cwb7TenW+/IyM39pDxnE46b8Yo1OZ32XxVyCp\nHoWus/av4voPDN1zNlwTcWgGY+YEwBejK8SoM5wE7UU/7JaF9IK+4FjZcPMHG71ljbZUlkmLgPST\ngmpCfJk2pjyVeOvsN8MXERuGNSgm8Zi3pt7EMWi4IyQqGls9zaZ9dxHwaPUFuq9dBOptnHiZlLRk\nkhSmQFVpUrGuSctj0iiAbaCdPvzNJk7SJw9fict2La7diO2u54u4z6rS+vmif5a74DNXXU+Jbr9m\nT5+uteZ81AfgBWAY6PBo3yqV+FLiebP+S0x8IQ+vDHWc9NiK0vpekQpozQgzl3zARrLHMjXXyxOi\n3MPono822mijfdtsJ5AmAoAgNuvVXYe6YR14RITH2g9oosmfbrOx2ePGAcnjcX5Z60zE76eLmbnq\na53NE+5S1LFtnhCIj5ZqesVmMqOJmBvdd3mjErm6BEPyrE2H3uAd0RlboKZAdmnojG5SQo8s31P0\nXRQZnYhUHJYQcufekNewJttVRKnJnaeiDBXhK7qkZULjNmNT17MhVUsXcek3bod/T4h4pkWWJOqf\nsIsuZLiQULKePBkp2nJ0BQndGlLhZ1vYRR5SqAtTbko0F6r8H+xzfZZgUhGqoyOE1jOh1HchSycW\n2nn+7nMAgOkk3ktvP3gQt6choKKaoJpEtDaZRhrddnXWOxc+JDoXj4FaBc1ppEivzh7i0VsvAwCu\n34pdWO++8AkAQNVpzya9x4rCITCM5Psto2sqjWXn5dq1SF1iAQjV2b33pkrFPlx8lqmPEDQ00nQe\nLelmg3uJN6mDpM6teqSrlfbD6lLxiXX/1HPB4gJq76aS5LTty1KPRqQ52mijjXYJ2wmkGRDQdR4t\nyyIDrLyrNYqLqrHodPPo8TGCotF7ZZyhjx7EWe8jH/4ggCQY4ZwYIlmroAZ7ubBjYvzs18eJUXAU\nNUhIJVwWO2G5IldN7HSWcKVETR/WdG2bEjVlnxTN/j8hxJLRfH0muhj+sZI4Edu2UYxcGg8AbLcb\nbEkFofaGxnWnumxVOBsXkTnpNlQF51iKwqGq+jqmlnjhMs4lJD5gJRnCCN7igYbwraMjaVQ8Em9x\nXYvdJmaQWWJf5fAixfEmxRSuHCgh+T4KJ52rbVujXzGhQWrUdKoJk1mwZBqRLxNNjYpNbGqH5Sru\ns95XWlOjfefZy0iR02JxgLbV+1TFSuiJ7O0f6d8FTo5VG5b3Ce87LeXsAHQ+JmzOzx/pcUaUdnL/\ntbiuap8eHN3GbH6g62t5LhXmWf65WqFVvbDbB7FU8s03347bURL+W28+sou9VC+P3h7pRMwVNE1p\n1xqDZGDyOUKmpq/3DAVwSxZweDhNhhnFi4+cXVd6LXIBzT6tjUhztNFGG+0SthtIMwTUTZ16kPtg\nvb5JPrdZQWd31xa2vuh3h4eR9kDy9lYze6WvLGbYWvadMmgaM5EUnBsSYnvKziSCl+yjzNhjvxyt\nlMI0KTM9AQBAF7SrnkhCuhaj6/es8aGzckRDa0qTsix/Fpgbil4MEdS23prKPNebT0igTr2m2aOa\nPdsXKvkVBpJnzkmiEelW28G+CydWLjmd9rUy+eFE0pgHOpDWQyck1Gz3g61PwjhsGYO1/C30UWQs\nQew/AmkM6C3rW2/ngvFcZxlZxkyTYESr8UAqo1d7yhooCjRtRIuPVF/1TeV1T+bxugaj30ywVAGY\nUhFmUPGXm7dY2lvg6+qhnZz2Y8lJXs0ZK8BaHnUUf4ko9eFbMdP+9v2vY7Ef0ePB0QcAwP6e6XPV\n1DV8wTinxjLX8Vl7fKY0u+3G9s++UkZc53XQYbZta+erMtm9fmGD+Gzsvv/MVZQtDMHir8nDimYx\n77z4Y1By+bQ2Is3RRhtttEvYjiDNiCYo6SYhi2QQiWkcibN8cM7Q3sE8opcP3FYxAu2ZTm4mNjUa\nxmMUfVJN2pCE76xrpKA/S+WEWRO+IJJgDx5bhpJUyPpPayfHhohRM9CSst3M2jJzyf7PRVFY6pVS\naYVnHLY/TkFhsUyfIdX4mYSPOa+yzw4lxIiKmqYxkeU9LRiYsPBgMCsLclRLBNBH9eIkZdsH/NHU\nUTDjSrIHDLPe9ABsrwlp+kHJZoqCBUMv7N6ZuK9E41l2m2vzt0GPJS9i8c8LliE7brtgPxv9KUmy\nOTuX8Np5QLf73O0oqk1UdH6+xptvRSTIe7NtVO5N48h7e3McHV3TnbCLpYrInDLTnu4NPs97AAAg\nAElEQVRFor26Zr/5+Df7YHXbNdYr5Xk+egMAcO25jwAAZrP46bsOFPDd17js83dvAQBWK+1fVYrF\nvym6bBzfRfQIC0XRbShTWazdXv34ZSfZv018ux+n9N4n8j47egbX2w7FfaqivIDIn9Z24qXZdR0e\nPzpBrW0hBFVq6kQisS7rKa/vPURdg/lBvDjUHJxNTBwRQGwryjp0I7UPiObzxcLUUrptcp+HZs2q\njLjOl5Nu1SoP0vpJYYiJkTLbfqK05MukCIEHH71USaKuC90U/b2qHKRgmKCvSs1Wq0VVwun+q8FE\nxHNTOpeoTyQtWxuNYUDdw3eaWFH3jWEJUkIK5y7QO9yFRJVkupnSOy57UTNH4EPSSzQ1p34Nf+fT\ntq0mnuGCwrgrF2r+h6GUvLPvUKkpXPhHfny9zaWQA4JNbBwz71d+VjqWg8Ucs5mqLGnV1XSiVTTa\nbmW9Wtv1ZIM9qnvZLQoxPYZAKpT+uK8tY04exd/Pmy3YmoNd4do2XkcmVud7N3ByFhNKW9WCsEo2\nNiFctjbJkXI324/PJxXgu1oVwTbBJtjObjPSufT577y96Al8+Der1Oq2xXUFTrdvxJACp7mQbh7d\nXpvlfy5XETS656ONNtpol7CdQJohBNS+y9R2woV6Ya8Jodr6CAlEXey5oqJKaTpGDZmwNtvhTKlG\nRB2JshLNd0n1XKytLnTZBBs6a83Wt9QWNlEmPJXgZQg7MnRpfXq4WsgXiYo+dDMtadF3XVhq55xk\n5ZJ91MZdV2VlO+P2eK657Hw+TfXtA5pHcolSQD2oEg1LOFPNeApr5PXUcX0dn3nVHj70Xfehejdd\nLRFnYQeb9QdegUgwdC1MyAUi1xQCIZIs9VEQq4ZVj6FXSED0nnopDf6RlUs+2ffzXUDKdQzI/ClG\nACBSmqhVSoQ012QRaUoIATduR/d8RWqP6srSc2raDnOtPad+JiMNd+8+H79fRcrQH31jbcfn9Hry\nUteK+m4dzPHG69EN/537ke53fBxdej6fcAWqyYkedDwHM6VNHU8iOm2FWhETPHgQx/7QawNAJfFv\nazZnC73CBSCpQ+X9j+ZHe71zma5G39twzlnIqvP9a/ReNiLN0UYbbbRL2M4gzaZpUqDXeXQtFX0U\n9U05+3GW71DqrD61znhxemGs43wTZ7Tz9RYnp3FmZCA4yzoA0LLIYWhjQG1wklCZlYINhCMYk4yk\n/D4yCcLkQrDvjchtG9B4JalWec+WjkFx0llK2w6gCjqDMCwTXkWGrJkgaVWAgZ0NWaIqThJaHFCp\nQpZQsiMeCH+QsN5leoXD+DDXsLI2n4KGPKd+gG5JUhfnLAFn2x1whPLWVDKMn0rqiyP9054Unxhj\nAxXqkyp+mZXKXlh3EAu1Hk0W+/ZJ5IXDsXis7w9GxHpIBXYcLUk3Yx8mwcEB0WjcB3tJnZ1HkY7j\n03PrKPDwIdtHx2Wo0M+ul9euX7cE62bDdp5xDNaSetuZgvy5KrizRxBjh0UZTHOTnhu0A6a3YCdL\nNwucr+M+prMYkzxXFafVil1Vu6xVclzd7lEr+kjHbmR2K3qgQhU9pBTQdqNgx2ijjTbat892Aml6\n77FerWGxOqSSuhQfi8aSP9+1SbJKp/W3Na7CHufMCs8mU0ym7PJItJL2rTvNAouMdagkXNZn2aTb\nKHEWErEWSOgqeG8CEUPaD1GuuGADuUBINs1HQWPyVtrFUobk9oRiwoC7YWRe6/VToWki6iAKKgdU\nms53aaxq1ofF0HOWpbe4n6LslrGmFBdMpHtusR9H6jqf1L+zjLpuqLc9CSETIEEaBxJSBEKiLg3G\nbOfcpWEYirRiA5XCY9w4xNhg/I4UF8bXU6w1ian0DyFXx7dzS1GWQSzTOn+6DOkbA6O/jvddUtzX\nnU31GSlVem5/b8+ENA724zNydh6fh612E+Cpmc1mmM0ijagqtazZdEPZ22dqXkm5odybCrGwB3zX\nWansVPss7Wl/rlKLM7YKZIOHwTdXxrhnWUX0LE57eBUttkqF4nWwa2darQU2mlmnt1MNxG2sw6mU\n6ZkdY5qjjTbaaN8+2wmkGUJAs932kIDFQSzo10cL4hwKZWFR8X2qJPcjJWYTQflO8FBRKE0GZZQQ\nb+KmMGFhRTiMtYUkS8VMYkrPkdCtsaLCWTyKat7Osrc6BXcwUYVsZPGYOHs6h6DH2dT9klJux/Rz\nUdn5odAJCcW0KBISt7fQ82ScWCtzy8jxhuD6cUbjjmYjIOKxbHxISyYC8gAxMZ6XI8eMOZB/YfFG\nnyFql0QpbPCIyCklt3nedZVMqGEoA9gbNJKnUyKJGhMJtuxKSXlBn+QAs4hq79z4QjCghOZUCe5U\nj0ESch0g68QwkIStw+AZsWU8psqhva7xT2eyghGZLTTr/KFZia3eZ+5Uuc0t47yKTjceiwX7BcWx\nbjXe2bLvT9elcyh9j8i8AYsF+3SNrMNn1Vu3mpQI6iHp8JIYsbpiXeuxUZYM78FS2LFS4+3sMjC5\nyM54WhuR5mijjTbaJWx3kGbdmmAofDAqf2EBnn6JYynA3jTORje1/8+R9ilhWwjLNocWdd2XV7NO\neA17c3cZ0lTpKUkYLg4rxSAZX2Q2Pol8pPgWQZ5Vrww4k0BAy2mT4gOKCPLukYyfttJvm+Et5srz\n6E1Q2EAaz4XGgVwh1rOFY7VSQlNLlpQlJx9SU57pWLQKaDaz+Bb71ruyjx6LUlKcuGNvpqx+EvGy\nGHIeiA5bbJIZfPgsW94XPDFcHXK0109pW1/xvAqp6F+bFGLO+X1EyYw99sUlXLBuRqnf9iALv21a\nE6G52IoEveP3Ie0rg6W9ZYuiyK6V3rcWg9R7sUl7MLFh9c54J0yUs7s3mxrXcm8RPZGV9voJISK9\nx8etCRJPlXt5QytxaOerVUaRULTH9iDGCNDfJWQsFEWaZV/YxbkiCZCHzCUC4JOfYR4g456VdQ5V\ntKz3n/c+q9K6XEXQbrw0fUBTN1mWwNtBDluzmvvUNdbe1ILtCr2NzGwnqsOaDdlYS9xadkU3IRm9\nRt1M7jxLFvFm44uGD4Do9sqKyZ9gL2Ej1DMx5LPxsSZ5mIxhEiXlM5KCTkOl9v5xRrK8qorrC5Vy\n14u5BtYL9wRfj8mF5CZ2bNJlfVx033pME1WheuH5uzi6dkNX0+C79no6PY3k5uX5yl4ejIrQfbJ2\nrIW7kAAycvxguLkNX27BAv1PcKIG6ktP2s6FOuSQ/yOFaQCkVs+8R7Nx2rGwxxJDAxA7dpZJmHpV\nx9JBPtgBuUJ7HAXv11RnHkJ6aXAvQLqnnGwsRGQJr6IfnrKxe2/31XTKhKOGnnR8XQtAYlKHk/Ht\n/Uiw9+oq7+3NLan2+LEmHo1ipMncNl1nTs4dFb04oeuwxAkmFUtKs7a+QC/5Zi2mST2q+uEkS1Lm\nIZ5L2uiejzbaaKNdwnYCaQIRbeYu0gXSsppksjicCelysKxK2n5io227CzQY/uhcvh+6lf3ZN2Qu\nUhgkbqx1LIErwVrbZcF6G7Iuk2hPlXVsJA2GqixEyd7GQ/TSUJ+wUleGOphFiZYtZK0HT9Xbbk9B\niqis6ycvuiAQoiG62Cwttfa8cbv7i0P4NoZHlss4u98k5UWWNoZqmqnLIyECEu3FwbI5hgDMqyap\nmceQJ8OINvrk5XibDHhcoR+OCMGubOqAGfrXrNcccRg24G2RRRES1UiXZchH/47oSNHehJ0FXL45\ncyE736YkU0dVIvN5AQDTLONFpN/USfjGBiqkylE5qp+cSUgswOmQuS8+IhN6SiK2fqcKRnZOM6+F\n9xdBrbnVOvayTNq2rSFhhqB0VJmSF5NDZRWPr2kGCT6ICcowHNdp+IDItVZ8v2kaK7e+rI1Ic7TR\nRhvtErYzSNNJ6tkRumAosbNuj7ogJ3kfDEWZojZRmlXlx4+67SzemfrOkL6TJMaMnmCdDeP63kQ4\nugtEWJZpmahHpglpcSQmY7gv3Z4Tl2Zzk0UjFUcRRvDo6n5pGNEUJbEIHpumRVFSI3PS2xePsyiK\ni/JzFjdOiJOzcJFpf8Z9KbrVlc/PPFDGWX06ixt6+5FqlrZKTJZU3km0eCGJIqnU0gCJohbxjKml\nBAr1LpOEW5+OVSAlfGzffYAIhJCVhXKf9hOA1HenaWpUEyrbs6RRHx/2pQ+CLEMVzwElzlR2L6U8\nkBJywyCrScdJ6lPF0k8dL+N6bbO9SA9TdMvOnwgpNkoPYdi10YHUnGF89AkmsJPI+8TOtcZR67ax\nrS/22e+L1CWiU4vq2n1fEebqfXJ0I8ZO4T2cUp8q7Zu05b3k+/cSkGLmRrlj6aXRz4L1UR8m4t7L\n3hNpisg/EJG3RORL2Xc3ROTzIvI1/bye/fZZEXlRRL4qIn/hUqMZbbTRRttxexqk+Q8B/OcA/vvs\nu88A+LUQwk+JyGf0778jIp8E8GkA3w3geQC/KiIfDxfTez0TBFTSWba69S1C0JnVYkH9Uq5SEj3H\ngOBA9CKXGEsxQs3adv0hBfi40WyfhmqzMGiKbw5im5kkXDqqPjWiY9lYVsJpQsWUImPMqUp9qFuS\nxpk11D1QVIJ/TydTTCiHN0TmViyQstQWNxqqqIeU8Wf/eYcBTUYzoE0HTMt+FpPsgI0i5Nkky9gb\n2uM+9VohoSrO/Px7otn44NmXKSFy6z2eZUWBGNP11hGyH28r88wzBjaoZ2XM9fz8zJgRRuWh+LOe\n88IVdh9MNJZmvXmMquat22SpiGtSDehOT2QLJEQOZAgvX3FQQOAN0WXsAukjMHoO1oUT4cJAUi1A\nFrinOIiVmZJgToZHa/cDy5nZtTSYR8HxAnXdz54zxsyYvw8+sTyGYi09j0LH1SZqEZDuATHxm0Dd\nFis/fVp7T6QZQvi/ATwafP1DAH5a//3TAP6t7Pt/FELYhhBeAvAigH/lUiMabbTRRtthe78xzTsh\nhHv67/sA7ui/Pwjg17PlXtPvLpiI/DiAH4//jqjJZwgoDNKXhgj0NV9JaskwJNlZVEnX3WzrJJvf\n9nsD2To+ILAszsQR+hlt0f/l+5BBZtsy0S6Ny1u5nS5LBARBSQHhImXL44/KVwtFRvhV9M0ePIoC\nJyrlVRVFIp8bwlSUyvPYhdhwBWmmnrDvkglZiM3eRCDtQDR4No3I4PBwguU6Iq32PK5zqC1rNooe\nBC5lmgfqsOl8+fTbIKPLtgsug8LMllvrCv4SUuwvDGgLwQj2zLw3FhukYHVR8re4Jq/PfLGf+LId\n2yvoPVXzXKUOjNcZ7ySi02WlJ8Kh2xuIrOQ9uq2qc5i5z9bodUtFxv7IYqUcO2OsJlxBIYuGf2f5\nBDtP/XyAZNvmPZgI5/rhA2o9T4V6CDMtcy5LPk+p/LZlp0vGgK2/k2a9t7Xtww3I+23PO9Bx0ZMc\nwELzCCWPLj9jcnsIIUguXvj0630OwOcAwBUSvCtS9UqXXm5SkOpCn1Zhe1lkgXkG4uMifPGktrU1\n2po9TLr+drkuuszF5otL/2QioXS2L7rGqZqgfwFCrtrDl5Lvu5CQkEjLbHJvNzfdKZ/6Eg0Un+jy\nWZhCHDyYNIrLFI41vIkaRRK7vYIGCkEBzs7zBdUeNSaqpjOP6zeHSuZxDPfvKfVlWl50PQfVUZK9\nMn16m6TxABYSifqcXJa77o+XW427YlKN+8zOBfkwlnhjOKj/EijLyjRURWLlE6lBpnHgU8cBO916\nIdaqvhNCl9o8a4iDk95QFT/4LrmyYXCNskmf1WkYTGx5X6aEK5iM7L+EO6QXor3UqVjE5BPjSz7Y\ni95evgOgERfjdSSFSjVAWcWVtYFmUoYEeIZQrAVy6bBhJZyG6hguaUzrIFiC0dx802LtP58SAGpM\ndP5yL833Szl6U0TuAoB+vqXfvw7gQ9lyL+h3o4022mj/v7D3izR/GcCPAvgp/fyl7Pv/UUT+PmIi\n6GMAvvBeGyuKEvvXrtuM4dpE6s24Kvq3DryqsvrlvltuWoO67nZTGypIy/SZyZLTRVwfkSQ3xyWV\nZwbQU4OS3ljgBBe4swZZU9KI67MlMGdKUiMK51LQnuDHlII4U2tdvkOqrzbEm7nIQK/G25DYAJEB\n4QnL6F96buj+HB+fYHnGfdCVj1SjR49j+9m9vb1MjDwl5/LtA5kbOHDHEx8/jVd6wX8kt1ASWrMm\nlgNUm5PTh+15aGyra+GNLivztPLJvKso4JwHcUiXubIAsH9woMfmLWlVDNo/t4YYs3EOEGZCozru\nzMlLt2A/gxl6/XX6yck0dj1HQUz3oON9ymSMtops2hpblnqaihafIyLQFEjgvlNb6fhZhGx8XF/X\n4f3Pe6AsitR5dNDN02Uut2nYDs6TPRcuue8FW19+q91zEfk5AN8P4JaIvAbgJxFflj8vIj8G4BsA\n/mocYPh9Efl5AF9G9NH++ntlzkcbbbTR/jjZe740Qwh/7R1++oF3WP7vAvi7lxqFRBWTqaLJ6WSa\n+svoIuxbwi8mk8rI4+yn40ygQIPHOqMvl2vT0bP+1iYIoN9Lmp0s3mbkb1JpPLz0t+Ms/KkzWUF6\nTEixS6NlDBJVmUhIY7EXPV5d1TUJVZkM50BnMpOLwbAfOzNCTF48KR7oiHCykjWei4Tm++swSdA2\nh9hsD3QYcZ3ZjGRmFg4UdjKH6CN3FlLJYkKCudl58z6hz2GwNUM1afm+N+CybqPGhBrsM/kWHKdk\nSFx/M+pLKs9k2anFxzsuk5DdEA21g/gb9+5DsOMZ6pGmDgJZUcAgvmvKQZIodwM2XUJ2pESFgGHn\nxoEDpj2aNLY/UNTp2hRftfgmQ5uDzqaN3aKpyCC5Aym/Yeua09mnHOXaory2Ri1k4ovHy8KVroX3\nvCef3GH2nWwsoxxttNFGu4TtRBllCDozZLDDsoWMDREMVXGZ06VH08RezVSRXqie43QWs5Irlamq\nG289vq0RYKbGDijR3HbfR0XI4p9EmqZGTQRh9BiiwjYrSxygP4vBSNYvpr8IkVwTOlSUo7MxM8ap\nSEVL/UqUqWf7IN5DlOskC+QNFOCbTO26GCbEzbhO3MbJaYuPflyJ7nX87bWXYizTFOtFEhIxBgHj\njBf3kOJbg+x5hqAsq2zlinpdsmE610eGQ8EICWnfCZgTzjzhsCX/Y/gjekrrNKIi64Hj3QVEaaiP\n8VOfJAVNqMMQUh959iTqh+WYvO26kHVh7BcQDOpBEELq7ZOUzaHjSZtOYcTEf+idCyeW+TZEaAhR\n5QsVlYp0F9TT+TylsufkMVhsU73PcqLPSt2kYhHfvy9YDszzUNdNpsF6uQjiiDRHG2200S5hO4E0\nAZ0Zsn7QeS+g+A/+rbNUCDjZxCzt2SYirdkkcuHI3+R0OJ/PTdyDMw1Rx0YlpJp6a2WKw94hlsDP\nSN+W4TVuaR9xiitSUm7Ag7TtiUvZcwsu9ZGJF6GOcCaLR+NMqdnOLiQhYYtncbu6bPCGCQwBDGJP\n79YzhbM90e9ib4blMXmxcZlywpk7ISqyF+QCMyHxQC9kuYfXIZPoG4I+Q91J7QPVoNzRp6CfrXwx\nfDpcJh33hZjjgJQe+zn1vYtEPGf8Ld3D3eAeMnYAs9dILAWeN4uHUlqvbTKeLfq/Wd1uigeGAeK3\ncWXZ+SH3NSHi9OxYjNTuNxZGxL/KqsieXS7BczKQy2u9HWfaWsojALFMtij6XhOl4uYLlYZsz7KS\nzz5LIylAaiy+67BV7nbXaVeHp7QRaY422mijXcJ2Bmk6l2ImgpAQySBNatl0ccbd5GzC0quuCb11\nq0llKzK2MZUYh5tqn2Us9rFV1MnqjbpNVRwcwrAfuAyy8GWZqnNKoh+dySyGwyPyXa80MN+Xoaui\ngKeulTIAKHOX4oQJLgUrw9Tz13FWVmZBkdBQdsLjuWH8EwlRGt9TR0lUtK8lcZ/4+A2cnGmp4VzP\n7Syeg7cf6LCbGttl7Abq9Pwwy1mqYLErCotzeqvaIrJgvDIh4tayo+Tj9c9b5DgyvqtjH6CNGA/U\n9cmKIGIywK7nOHQm7otB3IzWIxoM4oF2LJAkt5cHYJ/4iYtegcWqU1y61XEQiRkiZrls4SwNbeK8\nRGDmrWQxwMEwhscZWQd0hfpVTHaOJcVu+cjQC+gc45REy1123Yi2+3iuWiwwV7nD9an2ag/KCNF9\nlkWZnZ8+KuWFcKw8chmTphuydN/dduKlKQK4orR2tjl52ZZxg5MZUnqgG7pf5joonadtzYUxJR2q\nvGfuNt25Qvvp1D6+ULfNRjfbITR88fVf5o6JJv22KAoLVBctk0ZUnaFius9qYfVYQr8MMuREc5Lc\nzX2KK5lrk6kmyeDhylWFgh8+nDzvOjl0AEshqaZvGqDcrn5/sABuXmf9fPzt5EQnEKratDUKbb86\n07JOHouEmLwL5cTO9/Hx0sYKAJW+WKf60Mzmc1Prt5fehdxMCgnw5XmxBFHM17KuAUbv4ss0Jd/s\nOgxcP15D7y8WBfAcT6hXGTIqmpUyqg1LV8VZQ7Y09j4VD8Fn4R662tH4EnUiqTx0QGrnlqyGvEtF\nAXTvSbrnZB3aztxfvvjMpTc1sWAgwYwv1EGZsw8BhZYC7y1ic8RKr7WFg8oKFYtVlisesG42gSOf\nPQv5PpLiGJ//1LJ7qJH7Xja656ONNtpol7AdQZqCyaSy2SvODpx10yyuCwOIepOdIghf9zvYFeqK\nUlsSIpa4oXJ1guuJ5kF1ba+z7pRiAdOIhtrg0RTsojgoUyTB2ShNLvUusqB7P0ngXNJztIA1iOSS\nm9ENXKBEyO/PeY336fyYzx0/UgojIXgx9DhEk3mZIlFyPyxBvU8PMaRb6NGsNmtdR8fVBZyvFYEo\nap/NoiL3TClkhQMaRTaPz2IXy3pN5XdSTKjLWFrp6N5e3M7B4WFchirqyHD0MAHUK6EN6Z/ZmIeU\nphBSKaKpxtsq2XW1a8V99D8lBIgbIN6+B9krdUxhEv3sA9iIXA19soSTOqsJGXeDhNQFqhHSubmQ\niDP6Tvysm84KF5LXxPHA1rE90oNTNF+qOtnh/l52nPGfFJ+ZzeIz11DoJBvkZEatUj67SitCwHrd\n78jQDa6H6WsGwA/Ce09rI9IcbbTRRruE7QTSBACEhBIKlyEinQRKRSRUxM5jni11NQczBnuUi3Oo\ntzrzmIwUeus4l5ISLAUTxlOYRIGwrbhJucFK4nRWdin2xxGWg46QjKW0TZNimRQrsSRBPgsS2RC1\n9IUiEqqBTYNNYIyqT0sKSMH6yvV73iQUkqS/HPEC0ZGeuPX5OQDg1a9/HRV73ej6b99/iycpHv90\nDpWcxEaTYrLUc6voflI0KCYxlkzq18O3H8bNMNGh0mxlWZgX4dxtAMDB0aEeZ8J/xEyGNoZxbZ/i\nd8FU+/uxbvYX9523+2JIYE9t7EMW49MN85pnscgnxV/jRx/BhhCyBAmPKv0GRORkgi6aGGntXtLj\nD11CWDJAoyb7luLsFyQW25SwiccrJq1obQgy7wmIz/JU0aKhZfVWKo31LzR+KV0wL4PXmCrvDlPb\nflCJub1F9C6oy0kPEW2B7Ub/yZgmhXpYVGHUO2ciOeGSgh0j0hxttNFGu4TtBNIMgeiOgRqYOGzK\nHPczi+IErWayC87iFTvqRaPYROEKtIoY2BudCMDI0E2Kb1l2M8+yIqIPE7AYtC8Mrr+OSIo/sZMj\n5cbIgWm7VGrZUCTZ5NGCLUtk6Ci+MYjRGZ1FsqMPfRRqM2/dpp5HJWfaOPNPSP9BirUaZcMOV9Hj\nNlKIjv/wCyg15ttpLHNaRdTX6edsMsVMS1yTIlz8x5SeA4Ctxq+Iejb6N/u9GBHbCRaLuN5tiUiz\nGLAQkF0ri9vRY3AJbfEysrNkEjPpI7zggyHNxFBhLDhl3P1A1GvYizzvI5QxueM+s3JM7jOV4Kbj\n0h/T9pntbgco10gXXYYa47mstX8T0WPH7qzeZ8rtqZwTSHHeyWxmXQQm6uX5lt5Ta2OY6DU3cQ8i\n4ILrqlq+CCaUi2OPLF4Hlj02jXVf5d3J/kFuqs99WyXKE705O74BbUpCL3t/GRuR5mijjTbaJWwn\nkCZCQOdbtNuUrbM42aAUrtVeP0VR2GxLPllBZFf1UUPbtCZ/b50qh323IRZrtH7UnO0Yy/GtCaAS\nLVj/IBMhYHwpz9/206PMtk7KVGo21ThPnzkZOXJJdJgcOMandNlMCMRKQQ2Govd31/hUSqrnZKuC\nH3uazJzs7yGwJ7Ruj+2oJ4oQFyo0vNee4/DuBwAAy1ejgIrXc9HMbgAAijKRjo3bqH/nog6NpFgj\nkAjYYYASomRa/PeF4gCeKycXM8ODdLWDmLZ13noBQCZwoiim8ih5LqzssZ8Fbzug1dh5ckji3yyc\ncM5hwq6a0kdw7JdUVCme7QfXPnVwTNlh81Z0fNYPy0oQW7tnWrs/Bll95c968aDe4UQ9iLJUzmTm\nxTBrPtVlwkT3pUhTxFmXTvJrLT+hHhdbXMB7u28b7dXeUKgky4LzUjPeSV63VWVKejaabdM7J4bi\nQ/q0fulJ5fqpbCdemtQY5IG1XWeEWkfYrkmLVJ3QZeopPAzji8QlVOWobZp0Zuma6Y1lZO1paUFt\n1lXztwbaSKvpMjWduA9ed95PpPpIWZjbPAzm82Yui8JoNKwXproRbVIW5nGasjlIu1LyPBNNIlbx\nsVpFAnDTbPU3Z59sFsbEW6vrtAyJIKTAub5YKz3vU68uvLpzEjqALhlbxlqTOD5AuUq5HszAJfI+\npKZf1o430X24nXgeJaPyoHf+YPSp9CBYyMM0KDOFKkv48GWE9FschO4zpBe9Vd7oOPmybxy2bZx5\nZhNO5JGob2pdhevRouJ56h+3NRCD2ITNc2P10ta6uDH6z1YTInRjLTTQtOaesmBgqpQvuteuF97g\ni6V/n61U6yEgmGo9X4ypTxL07xITtqFm8qXhuDRhtW1tl0zyJHDTD1UUTmwcnc0mhIEAAA8sSURB\nVIYWmIDjZAOftEA3m3jfr9cxZOQP9nXsCSQFDGv/n85G93y00UYb7RK2E0jTB4+6rs0Fd2VKRHDm\noY5mrpcng9nIKDMDeoVzYujM9AjRd3ElhJTkMRpSPzQwyRTIjbBbsvZcx6uzflmWtnEbD2tdM895\naopMcdnaEkL8urDjM4Vv/a2aqsrLfG7rcHYneiRSolsyqQosFpHaQ4TKJArJ0Ou2wUYRqreeyfFz\nO3Sdyz24WURXbqG0Hypimy6khyXT9DylRAspIKmszdosJ2HH+JEBgmHpIM+/1c/7kJJzRKz2mZI1\nCWERtvRRVkpOekNMAzYcNorq773+AKfreC0O9+JCd+7Ec81rVRRFQt10talqNDimQpz6OJmbT3fT\n2uum+8HbSdGSXl66Yoapjp37nqlbTaS51kKCpm0u6AzM1L1eWP18YUnNqRLNJ7yPmVxpGtTbeF7W\n6nITmecqX0C/31dbk/qFngnEdBTS095/J0AkK/jQkIUmixk2YDgoiGS0w8u9BkekOdpoo412CdsJ\npAko9Yc6Br5NCuSWeOkH6AMCvCZdqMqeCvh7f6LLRBJSgqQfBPaZeIaTi4iQ/zAhDFIjqr7EORNF\nR0d71sN5rXqfjEOxBDGEYDFRo8GwZE1nxqIQG4AogqOwSEX0kJX81UyU6fnbU1Q5YfDcFabERFEE\nUkJqUn7qrZ2fqZYpFizRqyN6WOnf5+UEhSq214ubAIDlGQVOdNxZzCiBgj6yCz5pKg6TAKaWH4h0\nUjw0If5UgBA36001KQwSQCmRJlbad1FgqJ/kQUhFDgx7+jZe11e+/hIA4KVXXkXQWN8D3e7e4l8E\nANyc3dKxp/H4MEDSJj6i5zr4i2T5QTLFh+SVFVVEfcWAWtU23hJATIxsWHqsZcV8hlxVpiKTkvfQ\nvL9dgSHKjrSwZYwddnpOmqZOhPl3EAkxQZaisDLKYhCT5rPYhMZivVbCPFR7d6nnlmmSDgQ8rG+R\nS1qqKZn4dDYizdFGG220S9jOIE1XOCvRc1KkckJFdFRjr6ZJgo0xMMbmSIgXm8CzGMhglrOyNsY4\nqyJLneqS1kEx0WRcls2LY9XZXOONVtLlF6iUdNsS5enMNtc40mq9MdLz9VvXesdC1FeWpbEKyqqP\nOvwAsbRti+Pj2J+HUnWLPUWaKoQQg0V6DAoFE+deZ/7DfRgtR+Nj2008vuNV3NfXHsdzP0GNo5gg\nxlYzlpT7vPMBPZGdtz5GYuiTcb0cGZKw3Y87GxLj316SUv4A4eeqdwMpRTtusxAMiVzsiSTDRQ25\nec30Hj98DAD4xiuvAIhk/CRJFrf7jZe+AQCYKtF7Pp8b0jUkTSJ21g+Hg9maBis9m74Mn6C0WLkR\nubv+edy2rR0XxTJITp9rTJLbK4rCPI+klN5nUjTN1oQ0aotXXixRHajjGforzYtM+QA/LCHVTxNr\ncc76xSfmgGbcqSvbJV1OxqRZAGPnnCHskM7zoCr2PW1EmqONNtpol7CdQJoxtlRYzKIonCEHIk5K\nRjGuIiKAok/OmuRrcnbxRkZ2GXmZJYxx30mqosiEifVL8ssU4VSS9axm2Zhyzljy540z11gZmcWC\npkTN8Via0zPrNshZmdlv9vqpysoQSCH9uFRLflpWUkd+69E0Iszryk9jfKppUukgj73QfU0WHK+z\nIoJtrcepx0exhQbMpnfwRYyNnm5UPHjAnxWXukdaP/WBdJf3PnVhDL63LAbk9pBJutl3dirChS+H\nEmc+R0DSj69Zl0yjLRLBdqksUfmnb9y7BwA4ViXxoigsQ8xr9OgklpsuKXNXTYxQP5Rc4xWhB1G4\nwmKOYvFEvY5ZTx3f9EsGebwzvc/mRZEhr3gQh0e3dRnyFtUT8C1aZU406/hdTRFuXjtJ6v9WJDJA\nk6GQjDvbz3KnfuXIxtuHpeReUkAl6tYwNuoG22G+w2Vlun2PsgsXMOwFBsfT2og0RxtttNEuYTuB\nNAFBIQW7EgBBbAYjshvGmJwTKzcrDNGo6K918NNlSwdpUoYZQMbxTDGTNusFBMAEgYN1D2xRarlZ\n41mm1a9eIeotCmfrT5TLycyuteHoOkwVDVR6DLXGy/IYLGOaVm43rKaxipLWum5OVXyD8VPL1JYh\n9U/BgIc31/iWczhfxWxo6LQKRFefaSuQCUcXOpPry5ph63bSObeyv469ashnTe0cGN+90EIhj00j\nCp/sqxQcY8Dpmpv6hVWPpe0xiMXtRnSSDRlJ8IR8Pn7r7Q96MhtFUtP9iOY35+eJHeD6SIf3aFVN\nUFLW7oJ0XT+77yEIjFcyrk1pN1ZPhc6QFivZmFkn0nTO4fw4SvndezWi4/VSSyUrPmcqtlKGxIUO\nrFxTD4nPmQhcyVJP9ayUIcLnyvtgsoK5XF++XUL+4ANkEFikd0ePsGnbrMfWgFGTC+pYbyCyYqDb\n0e0ZWk5MHN47T2s78dIUiS8b6ZhkcRnxVD9MgTklP0oUtjwA61vT0YVukoqz1WmzDFL6wW5XpAco\nDB4y0ne6trG3x0Jd2Y6k9CYrgAViz5OB8A4ngrW6PdXhEfYPlM5BJfRVX1nGi0+Ea7s5+rW3pvYu\nguuHkWh+/ZoqDOmLcLWJVKHQ+lRKpw/VlIo1epxeYO8OlmMGffEvDg8AwBI7BYIRnZms4zmdTlM5\nqhHDmXWiWXLFo1a3txuQ2k0xneo25QRHe/t6zEpJ0XCCaZb6kMrjSP5mqSTdOh/QUqvU3EsOjNdT\n74kuoBMmHuJC3/GdfyLuW5N/L5+epF5D+oLh+aK2pIOgozttL03YOcjH2XmfKa7r6SKpfEqN1sJq\nsRPVSMfgU2jlTMMEr7/xevy890bcjr7An/vAUTym52+nJCfJ43xpWrluRh9iIQOTlCwt9V26h3Xs\nLFu0IpLsRWmN9qiINJjgAEE50Re1bpcVl/ZOgLdJLlD/VddOTd5SQsj0VgfNEt/LRvd8tNFGG+0S\ntiNIU1CWknWUlQsqPcnVJhotjYZhxFUSnIdllUEMrXRGjdDfUgWWzbAE695Un+mvl9gqet3X2Z2J\nG7q4RE6TaSqjNLdcZ9NNE9HbdHGIPS2BrFTkotCECxXXIWmGZyigYBzDc/u6qPcWxCfnPqntJFeE\nZ4fKMpu2n+w5uHaItuuXr96+HonrhbY83hA4xhRa/LciVgs5lFSLchfCIsYxNmSQSuD8MIFjn3HZ\n7bbGqVKrjtRNdyrRZJhBsm6Y1BY1epEmU3xjqK80pXvSahRJS0I35nIzv6HbW69iCKMLwZDbVKle\n156LCRf2o9n6FCIy3Upr9Rz3beo/EHO1qT25mPbVvwpXwFHtR8fcqEjFWgU2urYzBfqu06KE5du9\nc3F0LV7XqijS/URASBd+kqhzLL5oKJ5BWhJd8hAsEdRaojJuz5scGb0EsdLbRFyHrmOlBJm2aOid\nr5ZiH6HLQgG0FAKIq6aQDa/nEM2/l41Ic7TRRhvtEiaX7cT2bRmEyAMASwBvX/VYMruF3RoPsHtj\nGsfz7rZr4wF2b0y7NJ4PhxBuv9dCO/HSBAAR+WII4Xuvehy0XRsPsHtjGsfz7rZr4wF2b0y7Np6n\nsdE9H2200Ua7hI0vzdFGG220S9guvTQ/d9UDGNiujQfYvTGN43l327XxALs3pl0bz3vazsQ0Rxtt\ntNH+ONguIc3RRhttt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"text/plain": [
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"<matplotlib.figure.Figure at 0x7efd3c4afc90>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": 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fgxvAIfo3zk+DnGZ9nTNxEkLESlOss15HLJ7xoI+wVeH2DGZxW/U7p/EUGQNxSo63vkye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\nQgAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7efd3c4af750>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"ename": "NameError",
|
|
"evalue": "global name 'get_features' is not defined",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-11-b167e36c668e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
|
"\u001b[0;32m<ipython-input-10-6d06f5d0c974>\u001b[0m in \u001b[0;36mget_batch\u001b[0;34m(idx, X, Y, W, dataset)\u001b[0m\n\u001b[1;32m 42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mW\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 44\u001b[0;31m \u001b[0mweights\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_features\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mY_train\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 45\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 46\u001b[0m \u001b[0mX_train\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
|
"\u001b[0;31mNameError\u001b[0m: global name 'get_features' is not defined"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"_,_,_ = get_batch(0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 2",
|
|
"language": "python",
|
|
"name": "python2"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.13"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|