82 lines
3.5 KiB
Python
82 lines
3.5 KiB
Python
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import numpy as np
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from scipy import misc, io
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from glob import glob
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import random
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# from itertools import izip
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from random import random as rand
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from random import shuffle
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def gen_flip_and_rot(cover_dir, stego_dir, thread_idx, n_threads):
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cover_list = sorted(glob(cover_dir + '/*'))
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# print(cover_list)
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stego_list = sorted(glob(stego_dir + '/*'))
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nb_data = len(cover_list)
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assert len(stego_list) != 0, "the stego directory '%s' is empty" % stego_dir
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assert nb_data != 0, "the cover directory '%s' is empty" % cover_dir
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assert len(stego_list) == nb_data, "the cover directory and " + \
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"the stego directory don't " + \
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"have the same number of files " + \
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"respectively %d and %d" % (nb_data, + \
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len(stego_list))
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load_mat=cover_list[0].endswith('.mat')
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if load_mat:
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img = io.loadmat(cover_list[0])['im']
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img_shape = img.shape
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batch = np.empty((2,img_shape[0],img_shape[1],1), dtype='float32')
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else:
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img = misc.imread(cover_list[0])
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img_shape = img.shape
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batch = np.empty((2,img_shape[0],img_shape[1],1), dtype='uint8')
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iterable = list(zip(cover_list, stego_list))
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while True:
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shuffle(iterable)
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print("shuffling……")
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for cover_path, stego_path in iterable:
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if load_mat:
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batch[0,:,:,0] = io.loadmat(cover_path)['im']
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batch[1,:,:,0] = io.loadmat(stego_path)['im']
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else:
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batch[0,:,:,0] = misc.imread(cover_path)
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batch[1,:,:,0] = misc.imread(stego_path)
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rot = random.randint(0,3)
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if rand() < 0.5:
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yield [np.rot90(batch, rot, axes=[1,2]), np.array([0,1], dtype='uint8')]
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else:
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yield [np.flip(np.rot90(batch, rot, axes=[1,2]), axis=2), np.array([0,1], dtype='uint8')]
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def gen_valid(cover_dir, stego_dir, thread_idx, n_threads):
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cover_list = sorted(glob(cover_dir + '/*'))
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stego_list = sorted(glob(stego_dir + '/*'))
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nb_data = len(cover_list)
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assert len(stego_list) != 0, "the stego directory '%s' is empty" % stego_dir
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assert nb_data != 0, "the cover directory '%s' is empty" % cover_dir
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assert len(stego_list) == nb_data, "the cover directory and " + \
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"the stego directory don't " + \
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"have the same number of files " + \
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"respectively %d and %d" % (nb_data, \
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len(stego_list))
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load_mat=cover_list[0].endswith('.mat')
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if load_mat:
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img = io.loadmat(cover_list[0])['im']
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img_shape = img.shape
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batch = np.empty((2,img_shape[0],img_shape[1],1), dtype='float32')
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else:
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img = misc.imread(cover_list[0])
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img_shape = img.shape
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batch = np.empty((2,img_shape[0],img_shape[1],1), dtype='uint8')
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img_shape = img.shape
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labels = np.array([0, 1], dtype='uint8')
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while True:
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for cover_path, stego_path in zip(cover_list, stego_list):
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if load_mat:
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batch[0,:,:,0] = io.loadmat(cover_path)['im']
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batch[1,:,:,0] = io.loadmat(stego_path)['im']
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else:
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batch[0,:,:,0] = misc.imread(cover_path)
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batch[1,:,:,0] = misc.imread(stego_path)
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# print([batch,labels])
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yield [batch, labels]
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