import tensorflow as tf
import numpy as np
from scipy.misc import imread, imresize

def preProcess(image):
    image = imresize(image, (224,224))
    mean = [123.68, 116.779, 103.939]
    images = image-mean
    return images

img1 = imread('laska.png', mode = 'RGB')
data = preProcess(img1)
with open('input.txt', 'w') as outfile:
    # I'm writing a header here just for the sake of readability
    # Any line starting with "#" will be ignored by numpy.loadtxt
    #outfile.write('# Array shape: {0}\n'.format(data.shape))
    data_split = np.split(data, 3, axis = 2)
    outfile.write('%d %d %d' % (data.shape[0], data.shape[1], data.shape[2]))
    outfile.write('\n')
    for i in range(data.shape[2]):
            np.savetxt(outfile, data[...,i], fmt='%-15.7f')