import os
import tensorflow as tf
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
import glob
def convert_tfrecord_dataset():
cwd = os.getcwd()
writer= tf.python_io.TFRecordWriter("train.tfrecords")
class_path = cwd
img_path = './Screenshot.png'
#img_path = './27434_20180523_EU_NCAP_Part1.png'
#img_path = './49494_20180612_EU_NCAP_Part4_increment1.png'
img = Image.open(img_path)
print(img)
#img = img.resize((64,64))
print(img)
image = img.tobytes()
example = tf.train.Example(features=tf.train.Features(feature={
'image': tf.train.Feature(bytes_list=tf.train.BytesList(value=[image]))
}))
writer.write(example.SerializeToString())
writer.close()
if __name__ == '__main__':
print('start...')
convert_tfrecord_dataset()