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import numpy as np
import cv2
from bwm_core import WaterMarkCore
class WaterMark:
def __init__(self, password_wm=1, password_img=1, block_shape=(4, 4), mode='common', processes=None, d1 = 9, d2 = 7, fast_mode = False, n = 3):
self.bwm_core = WaterMarkCore(password_img=password_img, mode=mode, processes=processes, d1 = 9, d2 = 7, fast_mode = fast_mode, n = n)
self.password_wm = password_wm
self.wm_bit = None
self.wm_size = 0
def read_img(self, filename=None, img=None):
if img is None:
# 从文件读入图片 = Чтение изображений из файла
img = cv2.imread(filename, flags=cv2.IMREAD_UNCHANGED)
assert img is not None, "image file '{filename}' not read".format(filename=filename)
self.bwm_core.read_img_arr(img=img)
return img
def read_wm(self, wm_content, mode='img'):
assert mode in ('img', 'str', 'bit'), "mode in ('img','str','bit')"
if mode == 'img':
wm = cv2.imread(filename=wm_content, flags=cv2.IMREAD_GRAYSCALE)
assert wm is not None, 'file "{filename}" not read'.format(filename=wm_content)
# 读入图片格式的水印，并转为一维 bit 格式，抛弃灰度级别 =
# Считывание водяных знаков в формате изображений и преобразование их в 1D-битный формат, отбрасывая уровни серого.
self.wm_bit = wm.flatten() > 128
elif mode == 'str':
byte = bin(int(wm_content.encode('utf-8').hex(), base=16))[2:]
self.wm_bit = (np.array(list(byte)) == '1')
else:
self.wm_bit = np.array(wm_content)
self.wm_size = self.wm_bit.size
# 水印加密: = шифрование водяных знаков
# перемещает массив только по первой оси многомерного массива.
# Порядок подмассивов изменяется, но их содержимое остается прежним.
np.random.RandomState(self.password_wm).shuffle(self.wm_bit)
self.bwm_core.read_wm(self.wm_bit)
def embed(self, filename=None, compression_ratio=None):
'''
:param filename: string
Save the image file as filename
:param compression_ratio: int or None
If compression_ratio = None, do not compression,
If compression_ratio is integer between 0 and 100, the smaller, the output file is smaller.
:return:
'''
embed_img = self.bwm_core.embed()
if filename is not None:
if compression_ratio is None:
cv2.imwrite(filename=filename, img=embed_img)
elif filename.endswith('.jpg'):
cv2.imwrite(filename=filename, img=embed_img, params=[cv2.IMWRITE_JPEG_QUALITY, compression_ratio])
elif filename.endswith('.png'):
cv2.imwrite(filename=filename, img=embed_img, params=[cv2.IMWRITE_PNG_COMPRESSION, compression_ratio])
else:
cv2.imwrite(filename=filename, img=embed_img)
return embed_img
def extract_decrypt(self, wm_avg):
wm_index = np.arange(self.wm_size)
np.random.RandomState(self.password_wm).shuffle(wm_index)
wm_avg[wm_index] = wm_avg.copy()
return wm_avg
def extract(self, filename=None, embed_img=None, wm_shape=None, out_wm_name=None, mode='img', fast_mode = True):
assert wm_shape is not None, 'wm_shape needed'
if filename is not None:
embed_img = cv2.imread(filename, flags=cv2.IMREAD_COLOR)
assert embed_img is not None, "{filename} not read".format(filename=filename)
self.wm_size = np.array(wm_shape).prod()
if mode in ('str', 'bit'):
wm_avg = self.bwm_core.extract_with_kmeans(img=embed_img, wm_shape=wm_shape)
else:
wm_avg = self.bwm_core.extract(img=embed_img, wm_shape=wm_shape)
# 解密：= рассекречивание
wm = self.extract_decrypt(wm_avg=wm_avg)
# 转化为指定格式：= Преобразование в указанный формат
if mode == 'img':
wm = 255 * wm.reshape(wm_shape[0], wm_shape[1])
cv2.imwrite(out_wm_name, wm)
elif mode == 'str':
byte = ''.join(str((i >= 0.5) * 1) for i in wm)
wm = bytes.fromhex(hex(int(byte, base=2))[2:]).decode('utf-8', errors='replace')
return wm |