sam-thecoder

$ node
> const models = require('../models');
sequelize deprecated String based operators are now deprecated. Please use Symbo
l based operators for better security, read more at http://docs.sequelizejs.com/
manual/tutorial/querying.html#operators node_modules\sequelize\lib\sequelize.js:
242:13
undefined
> Executing (default): CREATE TABLE IF NOT EXISTS `users` (`id` INTEGER PRIMARY
KEY AUTOINCREMENT, `username` VARCHAR(255), `loggedIn` TINYINT(1), `createdAt` D
ATETIME NOT NULL, `updatedAt` DATETIME NOT NULL);

sam-thecoder

$ node
> const models = require('./../models');
sequelize deprecated String based operators are now deprecated. Please use Symbo
l based operators for better security, read more at http://docs.sequelizejs.com/
manual/tutorial/querying.html#operators node_modules\sequelize\lib\sequelize.js:
242:13
undefined
> Executing (default): CREATE TABLE IF NOT EXISTS `users` (`id` INTEGER PRIMARY
KEY AUTOINCREMENT, `username` VARCHAR(255), `loggedIn` TINYINT(1), `createdAt` D
ATETIME NOT NULL, `updatedAt` DATETIME NOT NULL);

sam-thecoder

from keras.applications.vgg16 import VGG16
from keras.preprocessing import image
from keras.applications.vgg16 import preprocess_input
from keras.layers import Input, Flatten, Dense
from keras.models import Model
import numpy as np
from keras import backend as K
from keras.callbacks import EarlyStopping
from keras.callbacks import ModelCheckpoint
from keras.preprocessing.image import ImageDataGenerator

sam-thecoder

from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import backend as K
from keras.callbacks import EarlyStopping
from keras.callbacks import ModelCheckpoint


# dimensions of our images.

sam-thecoder

import pandas as pd
import os

train = pd.read_csv('train.csv')
landmarks = list(set(train['landmark_id'].tolist())) #use set to have only unique id's and turn it back to a list type again

#creates sub folders of landmark id in train and validation folder
train_folder = 'training_images'
validation_folder = 'validation_images'