#!/usr/bin/env python
# coding: utf-8
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from IPython.display import clear_output
get_ipython().system(‘pip install imutils’)
clear_output()
import numpy as np
from tqdm import tqdm
import cv2
import os
import shutil
import itertools
import imutils
import matplotlib.pyplot as plt
from sklearn.preprocessing import LabelBinarizer
from sklearn.model_selection import train_test_split
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from sklearn.metrics import accuracy_score, confusion_matrix
import plotly.graph_objs as go
from plotly.offline import init_notebook_mode, iplot
from plotly import tools
from keras.preprocessing.image import ImageDataGenerator
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from keras.applications.vgg16 import VGG16, preprocess_input
from keras import layers
from keras.models import Model, Sequential
from keras.optimizers import Adam, RMSprop
from keras.callbacks import EarlyStopping
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init_notebook_mode(connected=True)
RANDOM_SEED = 123
get_ipython().system(‘apt-get install tree’)
clear_output()
# create new train, test and validation folders
get_ipython().system(‘mkdir TRAIN TEST VAL TRAIN/YES TRAIN/NO TEST/YES TEST/NO VAL/YES VAL/NO’)
get_ipython().system(‘tree -d’)
# split the data into TRAIN, TEST and VAl folders
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