-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathencode.py
54 lines (48 loc) · 1.6 KB
/
encode.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
# coding=utf-8
import cv2
import numpy as np
import random
import os
from argparse import ArgumentParser
ALPHA = 5
def build_parser():
parser = ArgumentParser()
parser.add_argument('--image', dest='img', required=True)
parser.add_argument('--watermark', dest='wm', required=True)
parser.add_argument('--result', dest='res', required=True)
parser.add_argument('--alpha', dest='alpha', default=ALPHA)
return parser
def main():
parser = build_parser()
options = parser.parse_args()
img = options.img
wm = options.wm
res = options.res
alpha = options.alpha
if not os.path.isfile(img):
parser.error("image %s does not exist." % img)
if not os.path.isfile(wm):
parser.error("watermark %s does not exist." % wm)
encode(img, wm, res, alpha)
def encode(img_path, wm_path, res_path, alpha):
img = cv2.imread(img_path)
img_f = np.fft.fft2(img)
height, width, channel = np.shape(img)
watermark = cv2.imread(wm_path)
wm_height, wm_width = watermark.shape[0], watermark.shape[1]
x, y = range(height / 2), range(width)
random.seed(height + width)
random.shuffle(x)
random.shuffle(y)
tmp = np.zeros(img.shape)
for i in range(height / 2):
for j in range(width):
if x[i] < wm_height and y[j] < wm_width:
tmp[i][j] = watermark[x[i]][y[j]]
tmp[height - 1 - i][width - 1 - j] = tmp[i][j]
res_f = img_f + alpha * tmp
res = np.fft.ifft2(res_f)
res = np.real(res)
cv2.imwrite(res_path, res, [int(cv2.IMWRITE_JPEG_QUALITY), 100])
if __name__ == '__main__':
main()