import os
import numpy as np
from keras.preprocessing import image

PATH = os.getcwd()

train_path = PATH+'/data/train/'
train_batch = os.listdir(train_path)
x_train = []

# load train data
for sample in train_data:
	img_path = train_path+sample
	x = image.load_img(img_path)
	# preprocessing disini
	x_train.append(x)

test_path = PATH+'/data/test/'
test_batch = os.listdir(test_path)
x_test = []

for sample in test_data:
	img_path = test_path+sample
	x = image.load_img(img_path)
	# preprocessing disini
	x_test.append(x)


x_train = np.array(x_train)
x_test = np.array(x_test)