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decode_image.py
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decode_image.py
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import bchlib
import glob
from PIL import Image, ImageOps
import numpy as np
import tensorflow as tf
import tensorflow.contrib.image
from tensorflow.python.saved_model import tag_constants
from tensorflow.python.saved_model import signature_constants
BCH_POLYNOMIAL = 137
BCH_BITS = 5
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('model', type=str)
parser.add_argument('--image', type=str, default=None)
parser.add_argument('--images_dir', type=str, default=None)
parser.add_argument('--secret_size', type=int, default=100)
args = parser.parse_args()
if args.image is not None:
files_list = [args.image]
elif args.images_dir is not None:
files_list = glob.glob(args.images_dir + '/*')
else:
print('Missing input image')
return
sess = tf.InteractiveSession(graph=tf.Graph())
model = tf.saved_model.loader.load(sess, [tag_constants.SERVING], args.model)
input_image_name = model.signature_def[signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY].inputs['image'].name
input_image = tf.get_default_graph().get_tensor_by_name(input_image_name)
output_secret_name = model.signature_def[signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY].outputs['decoded'].name
output_secret = tf.get_default_graph().get_tensor_by_name(output_secret_name)
bch = bchlib.BCH(BCH_POLYNOMIAL, BCH_BITS)
for filename in files_list:
image = Image.open(filename).convert("RGB")
image = np.array(ImageOps.fit(image,(400, 400)),dtype=np.float32)
image /= 255.
feed_dict = {input_image:[image]}
secret = sess.run([output_secret],feed_dict=feed_dict)[0][0]
packet_binary = "".join([str(int(bit)) for bit in secret[:96]])
packet = bytes(int(packet_binary[i : i + 8], 2) for i in range(0, len(packet_binary), 8))
packet = bytearray(packet)
data, ecc = packet[:-bch.ecc_bytes], packet[-bch.ecc_bytes:]
bitflips = bch.decode_inplace(data, ecc)
if bitflips != -1:
try:
code = data.decode("utf-8")
print(filename, code)
continue
except:
continue
print(filename, 'Failed to decode')
if __name__ == "__main__":
main()