[
{
"path": ".github/FUNDING.yml",
"content": "# These are supported funding model platforms\n\ncustom: [\"https://www.guofei.site/微信打赏.jpg\"]\nopen_collective: blind_watermark # Replace with a single Open Collective username\n\n"
},
{
"path": ".github/workflows/tests.yml",
"content": "name: test all\n\non: [ push, pull_request ]\n\njobs:\n build:\n runs-on: ubuntu-latest\n name: Test python API\n defaults:\n run:\n working-directory: .\n steps:\n - uses: actions/checkout@v1\n - uses: actions/setup-python@v2\n with:\n python-version: '3.10'\n - name: Install requirements\n run: |\n pip install -r requirements.txt\n # pip install pytest-cover\n - name: Run tests\n run: |\n python setup.py install\n python examples/example_bit.py\n python examples/example_img.py\n python examples/example_no_writing.py\n python examples/example_str.py\n python examples/example_str_multi.py\n # pytest --cov .\n# - name: Upload coverage reports to Codecov with GitHub Action\n# uses: codecov/codecov-action@v3\n"
},
{
"path": ".travis.yml",
"content": "language: python\npython:\n - \"3.8\"\n\n\n# command to install dependencies\ninstall:\n - pip install -r requirements.txt\n - pip install numpy==1.18.1\n - pip install coverage codecov\n - python setup.py install\n\n# command to run tests\nscript:\n - cd examples\n - coverage run -p example_no_writing.py\n - coverage run -p example_bit.py\n - coverage run -p example_str.py\n - coverage run -p example_img.py\n - cp .coverage.* ..\n - cd ..\n\n# Push the results back to codecov\nafter_success:\n - coverage combine\n - codecov"
},
{
"path": "LICENSE",
"content": "MIT License\n\nCopyright (c) 2019 郭飞\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
},
{
"path": "README.md",
"content": "\n\n\n# blind-watermark\n\nBlind watermark based on DWT-DCT-SVD.\n\n\n[](https://pypi.org/project/blind_watermark/)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://github.com/guofei9987/blind_watermark/blob/master/LICENSE)\n\n\n[](https://github.com/guofei9987/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/fork)\n[](https://pepy.tech/project/blind-watermark)\n[](https://github.com/guofei9987/blind_watermark/discussions)\n![\"Featured｜HelloGitHub\"](\"https://abroad.hellogithub.com/v1/widgets/recommend.svg?rid=3834302ff46a40f188a651ef8bd26ff5&claim_uid=se0WHo8cbiLv2w1&theme=small\")
\n\n- **Documentation:** [https://BlindWatermark.github.io/blind_watermark/#/en/](https://BlindWatermark.github.io/blind_watermark/#/en/)\n- **文档：** [https://BlindWatermark.github.io/blind_watermark/#/zh/](https://BlindWatermark.github.io/blind_watermark/#/zh/) \n- **中文 readme** [README_cn.md](README_cn.md)\n- **Source code:** [https://github.com/guofei9987/blind_watermark](https://github.com/guofei9987/blind_watermark)\n\n\n\n# install\n```bash\npip install blind-watermark\n```\n\nFor the current developer version:\n```bach\ngit clone git@github.com:guofei9987/blind_watermark.git\ncd blind_watermark\npip install .\n```\n\n# How to use\n\n\n## Use in bash\n\n\n```bash\n# embed watermark into image:\nblind_watermark --embed --pwd 1234 examples/pic/ori_img.jpeg \"watermark text\" examples/output/embedded.png\n# extract watermark from image:\nblind_watermark --extract --pwd 1234 --wm_shape 111 examples/output/embedded.png\n```\n\n\n\n## Use in Python\n\nOriginal Image + Watermark = Watermarked Image\n\n + '@guofei9987 开源万岁！' = \n\n\nSee the [codes](/examples/example_str.py)\n\nEmbed watermark:\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_img('pic/ori_img.jpg')\nwm = '@guofei9987 开源万岁！'\nbwm1.read_wm(wm, mode='str')\nbwm1.embed('output/embedded.png')\nlen_wm = len(bwm1.wm_bit)\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n```\n\nExtract watermark:\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(wm_extract)\n```\nOutput:\n>@guofei9987 开源万岁！\n\n### attacks on Watermarked Image\n\n\n|attack method|image after attack|extracted watermark|\n|--|--|--|\n|Rotate 45 Degrees||'@guofei9987 开源万岁！'|\n|Random crop||'@guofei9987 开源万岁！'|\n|Masks|  |'@guofei9987 开源万岁！'|\n|Vertical cut||'@guofei9987 开源万岁！'|\n|Horizontal cut||'@guofei9987 开源万岁！'|\n|Resize||'@guofei9987 开源万岁！'|\n|Pepper Noise||'@guofei9987 开源万岁！'|\n|Brightness 10% Down||'@guofei9987 开源万岁！'|\n\n\n\n\n\n\n### embed images\n\nembed watermark:\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# read original image\nbwm1.read_img('pic/ori_img.jpg')\n# read watermark\nbwm1.read_wm('pic/watermark.png')\n# embed\nbwm1.embed('output/embedded.png')\n```\n\n\nExtract watermark:\n```python\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# notice that wm_shape is necessary\nbwm1.extract(filename='output/embedded.png', wm_shape=(128, 128), out_wm_name='output/extracted.png', )\n```\n\n\n|attack method|image after attack|extracted watermark|\n|--|--|--|\n|Rotate 45 Degrees|||\n|Random crop|||\n|Mask|  ||\n\n\n### embed array of bits\n\nSee it [here](/examples/example_bit.py)\n\n\nAs demo, we embed 6 bytes data:\n```python\nwm = [True, False, True, True, True, False]\n```\n\nEmbed:\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_ori_img('pic/ori_img.jpg')\nbwm1.read_wm([True, False, True, True, True, False], mode='bit')\nbwm1.embed('output/embedded.png')\n```\n\nExtract:\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1, wm_shape=6)\nwm_extract = bwm1.extract('output/打上水印的图.png', mode='bit')\nprint(wm_extract)\n```\nNotice that `wm_shape` (shape of watermark) is necessary\n\nThe output `wm_extract` is an array of float. set a threshold such as 0.5.\n\n\n# Concurrency\n\n```python\nWaterMark(..., processes=None)\n```\n- `processes` number of processes, can be integer. Default `None`, which means using all processes. \n\n## Related Project\n\n- text_blind_watermark (Embed message into text): [https://github.com/guofei9987/text_blind_watermark](https://github.com/guofei9987/text_blind_watermark) \n- HideInfo（hide as image, hide as sounds, hide as text）：[https://github.com/guofei9987/HideInfo](https://github.com/guofei9987/HideInfo)\n"
},
{
"path": "README_cn.md",
"content": "# blind-watermark\n\n基于频域的数字盲水印 \n\n\n[](https://pypi.org/project/blind_watermark/)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://github.com/guofei9987/blind_watermark/blob/master/LICENSE)\n\n\n[](https://github.com/guofei9987/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/fork)\n[](https://pepy.tech/project/blind-watermark)\n[](https://github.com/guofei9987/blind_watermark/discussions)\n\n\n- **Documentation:** [https://BlindWatermark.github.io/blind_watermark/#/en/](https://BlindWatermark.github.io/blind_watermark/#/en/)\n- **文档：** [https://BlindWatermark.github.io/blind_watermark/#/zh/](https://BlindWatermark.github.io/blind_watermark/#/zh/) \n- **English readme** [README.md](README.md)\n- **Source code:** [https://github.com/guofei9987/blind_watermark](https://github.com/guofei9987/blind_watermark)\n\n# 安装\n```bash\npip install blind-watermark\n```\n\n或者安装最新开发版本\n```bach\ngit clone git@github.com:guofei9987/blind_watermark.git\ncd blind_watermark\npip install .\n```\n\n# 如何使用\n\n## 命令行中使用\n\n```bash\n# 嵌入水印：\nblind_watermark --embed --pwd 1234 examples/pic/ori_img.jpeg \"watermark text\" examples/output/embedded.png\n# 提取水印：\nblind_watermark --extract --pwd 1234 --wm_shape 111 examples/output/embedded.png\n```\n\n\n\n## Python 中使用\n\n原图 + 水印 = 打上水印的图\n\n + '@guofei9987 开源万岁！' = \n\n\n\n参考 [代码](/examples/example_str.py)\n\n\n嵌入水印\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_img('pic/ori_img.jpg')\nwm = '@guofei9987 开源万岁！'\nbwm1.read_wm(wm, mode='str')\nbwm1.embed('output/embedded.png')\nlen_wm = len(bwm1.wm_bit)\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n```\n\n\n提取水印\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(wm_extract)\n```\nOutput:\n>@guofei9987 开源万岁！\n\n\n### 各种攻击后的效果\n\n|攻击方式|攻击后的图片|提取的水印|\n|--|--|--|\n|旋转攻击45度||'@guofei9987 开源万岁！'|\n|随机截图||'@guofei9987 开源万岁！'|\n|多遮挡|  |'@guofei9987 开源万岁！'|\n|纵向裁剪||'@guofei9987 开源万岁！'|\n|横向裁剪||'@guofei9987 开源万岁！'|\n|缩放攻击||'@guofei9987 开源万岁！'|\n|椒盐攻击||'@guofei9987 开源万岁！'|\n|亮度攻击||'@guofei9987 开源万岁！'|\n\n\n\n### 嵌入图片\n\n参考 [代码](/examples/example_str.py)\n\n\n嵌入：\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# read original image\nbwm1.read_img('pic/ori_img.jpg')\n# read watermark\nbwm1.read_wm('pic/watermark.png')\n# embed\nbwm1.embed('output/embedded.png')\n```\n\n提取：\n```python\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# notice that wm_shape is necessary\nbwm1.extract(filename='output/embedded.png', wm_shape=(128, 128), out_wm_name='output/extracted.png', )\n```\n\n|攻击方式|攻击后的图片|提取的水印|\n|--|--|--|\n|旋转攻击45度|||\n|随机截图|||\n|多遮挡|  ||\n\n\n\n### 隐水印还可以是二进制数据\n\n参考 [代码](/examples/example_bit.py)\n\n\n作为 demo， 如果要嵌入是如下长度为6的二进制数据\n```python\nwm = [True, False, True, True, True, False]\n```\n\n嵌入水印\n\n```python\n# 除了嵌入图片，也可以嵌入比特类数据\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_ori_img('pic/ori_img.jpg')\nbwm1.read_wm([True, False, True, True, True, False], mode='bit')\nbwm1.embed('output/打上水印的图.png')\n```\n\n解水印：（注意设定水印形状 `wm_shape`）\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1, wm_shape=6)\nwm_extract = bwm1.extract('output/打上水印的图.png', mode='bit')\nprint(wm_extract)\n```\n\n解出的水印是一个0～1之间的实数，方便用户自行卡阈值。如果水印信息量远小于图片可容纳量，偏差极小。\n\n# 并行计算\n\n```python\nWaterMark(..., processes=None)\n```\n- `processes`: 整数，指定线程数。默认为 `None`, 表示使用全部线程。\n\n\n## 相关项目\n\n- text_blind_watermark (文本盲水印，把信息隐秘地打入文本): [https://github.com/guofei9987/text_blind_watermark](https://github.com/guofei9987/text_blind_watermark) \n- HideInfo（藏物于图、藏物于音、藏图于文）：[https://github.com/guofei9987/HideInfo](https://github.com/guofei9987/HideInfo)\n"
},
{
"path": "blind_watermark/__init__.py",
"content": "from .blind_watermark import WaterMark\nfrom .bwm_core import WaterMarkCore\nfrom .att import *\nfrom .recover import recover_crop\nfrom .version import __version__, bw_notes\n"
},
{
"path": "blind_watermark/att.py",
"content": "# coding=utf-8\n\n# attack on the watermark\nimport cv2\nimport numpy as np\nimport warnings\n\n\ndef cut_att3(input_filename=None, input_img=None, output_file_name=None, loc_r=None, loc=None, scale=None):\n # 剪切攻击 + 缩放攻击\n if input_filename:\n input_img = cv2.imread(input_filename)\n\n if loc is None:\n h, w, _ = input_img.shape\n x1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n else:\n x1, y1, x2, y2 = loc\n\n # 剪切攻击\n output_img = input_img[y1:y2, x1:x2].copy()\n\n # 如果缩放攻击\n if scale and scale != 1:\n h, w, _ = output_img.shape\n output_img = cv2.resize(output_img, dsize=(round(w * scale), round(h * scale)))\n else:\n output_img = output_img\n\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ncut_att2 = cut_att3\n\n\ndef resize_att(input_filename=None, input_img=None, output_file_name=None, out_shape=(500, 500)):\n # 缩放攻击：因为攻击和还原都是缩放，所以攻击和还原都调用这个函数\n if input_filename:\n input_img = cv2.imread(input_filename)\n output_img = cv2.resize(input_img, dsize=out_shape)\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef bright_att(input_filename=None, input_img=None, output_file_name=None, ratio=0.8):\n # 亮度调整攻击，ratio应当多于0\n # ratio>1是调得更亮，ratio<1是亮度更暗\n if input_filename:\n input_img = cv2.imread(input_filename)\n output_img = input_img * ratio\n output_img[output_img > 255] = 255\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef shelter_att(input_filename=None, input_img=None, output_file_name=None, ratio=0.1, n=3):\n # 遮挡攻击：遮挡图像中的一部分\n # n个遮挡块\n # 每个遮挡块所占比例为ratio\n if input_filename:\n output_img = cv2.imread(input_filename)\n else:\n output_img = input_img.copy()\n input_img_shape = output_img.shape\n\n for i in range(n):\n tmp = np.random.rand() * (1 - ratio) # 随机选择一个地方，1-ratio是为了防止溢出\n start_height, end_height = int(tmp * input_img_shape[0]), int((tmp + ratio) * input_img_shape[0])\n tmp = np.random.rand() * (1 - ratio)\n start_width, end_width = int(tmp * input_img_shape[1]), int((tmp + ratio) * input_img_shape[1])\n\n output_img[start_height:end_height, start_width:end_width, :] = 255\n\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef salt_pepper_att(input_filename=None, input_img=None, output_file_name=None, ratio=0.01):\n # 椒盐攻击\n if input_filename:\n input_img = cv2.imread(input_filename)\n input_img_shape = input_img.shape\n output_img = input_img.copy()\n for i in range(input_img_shape[0]):\n for j in range(input_img_shape[1]):\n if np.random.rand() < ratio:\n output_img[i, j, :] = 255\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef rot_att(input_filename=None, input_img=None, output_file_name=None, angle=45):\n # 旋转攻击\n if input_filename:\n input_img = cv2.imread(input_filename)\n rows, cols, _ = input_img.shape\n M = cv2.getRotationMatrix2D(center=(cols / 2, rows / 2), angle=angle, scale=1)\n output_img = cv2.warpAffine(input_img, M, (cols, rows))\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef cut_att_height(input_filename=None, input_img=None, output_file_name=None, ratio=0.8):\n warnings.warn('will be deprecated in the future, use att.cut_att2 instead')\n # 纵向剪切攻击\n if input_filename:\n input_img = cv2.imread(input_filename)\n input_img_shape = input_img.shape\n height = int(input_img_shape[0] * ratio)\n\n output_img = input_img[:height, :, :]\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef cut_att_width(input_filename=None, input_img=None, output_file_name=None, ratio=0.8):\n warnings.warn('will be deprecated in the future, use att.cut_att2 instead')\n # 横向裁剪攻击\n if input_filename:\n input_img = cv2.imread(input_filename)\n input_img_shape = input_img.shape\n width = int(input_img_shape[1] * ratio)\n\n output_img = input_img[:, :width, :]\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\ndef cut_att(input_filename=None, output_file_name=None, input_img=None, loc=((0.3, 0.1), (0.7, 0.9)), resize=0.6):\n warnings.warn('will be deprecated in the future, use att.cut_att2 instead')\n # 截屏攻击 = 裁剪攻击 + 缩放攻击 + 知道攻击参数（按照参数还原）\n # 裁剪攻击：其它部分都补0\n if input_filename:\n input_img = cv2.imread(input_filename)\n\n output_img = input_img.copy()\n shape = output_img.shape\n x1, y1, x2, y2 = shape[0] * loc[0][0], shape[1] * loc[0][1], shape[0] * loc[1][0], shape[1] * loc[1][1]\n output_img[:int(x1), :] = 255\n output_img[int(x2):, :] = 255\n output_img[:, :int(y1)] = 255\n output_img[:, int(y2):] = 255\n\n if resize is not None:\n # 缩放一次，然后还原\n output_img = cv2.resize(output_img,\n dsize=(int(shape[1] * resize), int(shape[0] * resize))\n )\n\n output_img = cv2.resize(output_img, dsize=(int(shape[1]), int(shape[0])))\n\n if output_file_name is not None:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n\n\n# def cut_att2(input_filename=None, input_img=None, output_file_name=None, loc_r=((0.3, 0.1), (0.9, 0.9)), scale=1.1):\n# # 截屏攻击 = 剪切攻击 + 缩放攻击 + 不知道攻击参数\n# if input_filename:\n# input_img = cv2.imread(input_filename)\n# h, w, _ = input_img.shape\n# x1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n#\n# output_img = cut_att3(input_img=input_img, output_file_name=output_file_name,\n# loc=(x1, y1, x2, y2), scale=scale)\n# return output_img, (x1, y1, x2, y2)\n\ndef anti_cut_att_old(input_filename, output_file_name, origin_shape):\n warnings.warn('will be deprecated in the future')\n # 反裁剪攻击：复制一块范围，然后补全\n # origin_shape 分辨率与约定理解的是颠倒的，约定的是列数*行数\n input_img = cv2.imread(input_filename)\n output_img = input_img.copy()\n output_img_shape = output_img.shape\n if output_img_shape[0] > origin_shape[0] or output_img_shape[1] > origin_shape[1]:\n print('裁剪打击后的图片，不可能比原始图片大，检查一下')\n return\n\n # 还原纵向打击\n while output_img_shape[0] < origin_shape[0]:\n output_img = np.concatenate([output_img, output_img[:origin_shape[0] - output_img_shape[0], :, :]], axis=0)\n output_img_shape = output_img.shape\n while output_img_shape[1] < origin_shape[1]:\n output_img = np.concatenate([output_img, output_img[:, :origin_shape[1] - output_img_shape[1], :]], axis=1)\n output_img_shape = output_img.shape\n\n cv2.imwrite(output_file_name, output_img)\n\n\ndef anti_cut_att(input_filename=None, input_img=None, output_file_name=None, origin_shape=None):\n warnings.warn('will be deprecated in the future, use att.cut_att2 instead')\n # 反裁剪攻击：补0\n # origin_shape 分辨率与约定理解的是颠倒的，约定的是列数*行数\n if input_filename:\n input_img = cv2.imread(input_filename)\n output_img = input_img.copy()\n output_img_shape = output_img.shape\n if output_img_shape[0] > origin_shape[0] or output_img_shape[1] > origin_shape[1]:\n print('裁剪打击后的图片，不可能比原始图片大，检查一下')\n return\n\n # 还原纵向打击\n if output_img_shape[0] < origin_shape[0]:\n output_img = np.concatenate(\n [output_img, 255 * np.ones((origin_shape[0] - output_img_shape[0], output_img_shape[1], 3))]\n , axis=0)\n output_img_shape = output_img.shape\n\n if output_img_shape[1] < origin_shape[1]:\n output_img = np.concatenate(\n [output_img, 255 * np.ones((output_img_shape[0], origin_shape[1] - output_img_shape[1], 3))]\n , axis=1)\n\n if output_file_name:\n cv2.imwrite(output_file_name, output_img)\n return output_img\n"
},
{
"path": "blind_watermark/blind_watermark.py",
"content": "#!/usr/bin/env python3\n# coding=utf-8\n# @Time : 2020/8/13\n# @Author : github.com/guofei9987\nimport warnings\n\nimport numpy as np\nimport cv2\n\nfrom .bwm_core import WaterMarkCore\nfrom .version import bw_notes\n\n\nclass WaterMark:\n def __init__(self, password_wm=1, password_img=1, block_shape=(4, 4), mode='common', processes=None):\n bw_notes.print_notes()\n\n self.bwm_core = WaterMarkCore(password_img=password_img, mode=mode, processes=processes)\n\n self.password_wm = password_wm\n\n self.wm_bit = None\n self.wm_size = 0\n\n def read_img(self, filename=None, img=None):\n if img is None:\n # 从文件读入图片\n img = cv2.imread(filename, flags=cv2.IMREAD_UNCHANGED)\n assert img is not None, \"image file '{filename}' not read\".format(filename=filename)\n\n self.bwm_core.read_img_arr(img=img)\n return img\n\n def read_wm(self, wm_content, mode='img'):\n assert mode in ('img', 'str', 'bit'), \"mode in ('img','str','bit')\"\n if mode == 'img':\n wm = cv2.imread(filename=wm_content, flags=cv2.IMREAD_GRAYSCALE)\n assert wm is not None, 'file \"{filename}\" not read'.format(filename=wm_content)\n\n # 读入图片格式的水印，并转为一维 bit 格式，抛弃灰度级别\n self.wm_bit = wm.flatten() > 128\n\n elif mode == 'str':\n byte = bin(int(wm_content.encode('utf-8').hex(), base=16))[2:]\n self.wm_bit = (np.array(list(byte)) == '1')\n else:\n self.wm_bit = np.array(wm_content)\n\n self.wm_size = self.wm_bit.size\n\n # 水印加密:\n np.random.RandomState(self.password_wm).shuffle(self.wm_bit)\n\n self.bwm_core.read_wm(self.wm_bit)\n\n def embed(self, filename=None, compression_ratio=None):\n '''\n :param filename: string\n Save the image file as filename\n :param compression_ratio: int or None\n If compression_ratio = None, do not compression,\n If compression_ratio is integer between 0 and 100, the smaller, the output file is smaller.\n :return:\n '''\n embed_img = self.bwm_core.embed()\n if filename is not None:\n if compression_ratio is None:\n cv2.imwrite(filename=filename, img=embed_img)\n elif filename.endswith('.jpg'):\n cv2.imwrite(filename=filename, img=embed_img, params=[cv2.IMWRITE_JPEG_QUALITY, compression_ratio])\n elif filename.endswith('.png'):\n cv2.imwrite(filename=filename, img=embed_img, params=[cv2.IMWRITE_PNG_COMPRESSION, compression_ratio])\n else:\n cv2.imwrite(filename=filename, img=embed_img)\n return embed_img\n\n def extract_decrypt(self, wm_avg):\n wm_index = np.arange(self.wm_size)\n np.random.RandomState(self.password_wm).shuffle(wm_index)\n wm_avg[wm_index] = wm_avg.copy()\n return wm_avg\n\n def extract(self, filename=None, embed_img=None, wm_shape=None, out_wm_name=None, mode='img'):\n assert wm_shape is not None, 'wm_shape needed'\n\n if filename is not None:\n embed_img = cv2.imread(filename, flags=cv2.IMREAD_COLOR)\n assert embed_img is not None, \"{filename} not read\".format(filename=filename)\n\n self.wm_size = np.array(wm_shape).prod()\n\n if mode in ('str', 'bit'):\n wm_avg = self.bwm_core.extract_with_kmeans(img=embed_img, wm_shape=wm_shape)\n else:\n wm_avg = self.bwm_core.extract(img=embed_img, wm_shape=wm_shape)\n\n # 解密：\n wm = self.extract_decrypt(wm_avg=wm_avg)\n\n # 转化为指定格式：\n if mode == 'img':\n wm = 255 * wm.reshape(wm_shape[0], wm_shape[1])\n cv2.imwrite(out_wm_name, wm)\n elif mode == 'str':\n byte = ''.join(str((i >= 0.5) * 1) for i in wm)\n wm = bytes.fromhex(hex(int(byte, base=2))[2:]).decode('utf-8', errors='replace')\n\n return wm\n"
},
{
"path": "blind_watermark/bwm_core.py",
"content": "#!/usr/bin/env python3\n# coding=utf-8\n# @Time : 2021/12/17\n# @Author : github.com/guofei9987\nimport numpy as np\nfrom numpy.linalg import svd\nimport copy\nimport cv2\nfrom cv2 import dct, idct\nfrom pywt import dwt2, idwt2\nfrom .pool import AutoPool\n\n\nclass WaterMarkCore:\n def __init__(self, password_img=1, mode='common', processes=None):\n self.block_shape = np.array([4, 4])\n self.password_img = password_img\n self.d1, self.d2 = 36, 20 # d1/d2 越大鲁棒性越强,但输出图片的失真越大\n\n # init data\n self.img, self.img_YUV = None, None # self.img 是原图，self.img_YUV 对像素做了加白偶数化\n self.ca, self.hvd, = [np.array([])] * 3, [np.array([])] * 3 # 每个通道 dct 的结果\n self.ca_block = [np.array([])] * 3 # 每个 channel 存一个四维 array，代表四维分块后的结果\n self.ca_part = [np.array([])] * 3 # 四维分块后，有时因不整除而少一部分，self.ca_part 是少这一部分的 self.ca\n\n self.wm_size, self.block_num = 0, 0 # 水印的长度，原图片可插入信息的个数\n self.pool = AutoPool(mode=mode, processes=processes)\n\n self.fast_mode = False\n self.alpha = None # 用于处理透明图\n\n def init_block_index(self):\n self.block_num = self.ca_block_shape[0] * self.ca_block_shape[1]\n assert self.wm_size < self.block_num, IndexError(\n '最多可嵌入{}kb信息，多于水印的{}kb信息，溢出'.format(self.block_num / 1000, self.wm_size / 1000))\n # self.part_shape 是取整后的ca二维大小,用于嵌入时忽略右边和下面对不齐的细条部分。\n self.part_shape = self.ca_block_shape[:2] * self.block_shape\n self.block_index = [(i, j) for i in range(self.ca_block_shape[0]) for j in range(self.ca_block_shape[1])]\n\n def read_img_arr(self, img):\n # 处理透明图\n self.alpha = None\n if img.shape[2] == 4:\n if img[:, :, 3].min() < 255:\n self.alpha = img[:, :, 3]\n img = img[:, :, :3]\n\n # 读入图片->YUV化->加白边使像素变偶数->四维分块\n self.img = img.astype(np.float32)\n self.img_shape = self.img.shape[:2]\n\n # 如果不是偶数，那么补上白边，Y（明亮度）UV（颜色）\n self.img_YUV = cv2.copyMakeBorder(cv2.cvtColor(self.img, cv2.COLOR_BGR2YUV),\n 0, self.img.shape[0] % 2, 0, self.img.shape[1] % 2,\n cv2.BORDER_CONSTANT, value=(0, 0, 0))\n\n self.ca_shape = [(i + 1) // 2 for i in self.img_shape]\n\n self.ca_block_shape = (self.ca_shape[0] // self.block_shape[0], self.ca_shape[1] // self.block_shape[1],\n self.block_shape[0], self.block_shape[1])\n strides = 4 * np.array([self.ca_shape[1] * self.block_shape[0], self.block_shape[1], self.ca_shape[1], 1])\n\n for channel in range(3):\n self.ca[channel], self.hvd[channel] = dwt2(self.img_YUV[:, :, channel], 'haar')\n # 转为4维度\n self.ca_block[channel] = np.lib.stride_tricks.as_strided(self.ca[channel].astype(np.float32),\n self.ca_block_shape, strides)\n\n def read_wm(self, wm_bit):\n self.wm_bit = wm_bit\n self.wm_size = wm_bit.size\n\n def block_add_wm(self, arg):\n if self.fast_mode:\n return self.block_add_wm_fast(arg)\n else:\n return self.block_add_wm_slow(arg)\n\n def block_add_wm_slow(self, arg):\n block, shuffler, i = arg\n # dct->(flatten->加密->逆flatten)->svd->打水印->逆svd->(flatten->解密->逆flatten)->逆dct\n wm_1 = self.wm_bit[i % self.wm_size]\n block_dct = dct(block)\n\n # 加密（打乱顺序）\n block_dct_shuffled = block_dct.flatten()[shuffler].reshape(self.block_shape)\n u, s, v = svd(block_dct_shuffled)\n s[0] = (s[0] // self.d1 + 1 / 4 + 1 / 2 * wm_1) * self.d1\n if self.d2:\n s[1] = (s[1] // self.d2 + 1 / 4 + 1 / 2 * wm_1) * self.d2\n\n block_dct_flatten = np.dot(u, np.dot(np.diag(s), v)).flatten()\n block_dct_flatten[shuffler] = block_dct_flatten.copy()\n return idct(block_dct_flatten.reshape(self.block_shape))\n\n def block_add_wm_fast(self, arg):\n # dct->svd->打水印->逆svd->逆dct\n block, shuffler, i = arg\n wm_1 = self.wm_bit[i % self.wm_size]\n\n u, s, v = svd(dct(block))\n s[0] = (s[0] // self.d1 + 1 / 4 + 1 / 2 * wm_1) * self.d1\n\n return idct(np.dot(u, np.dot(np.diag(s), v)))\n\n def embed(self):\n self.init_block_index()\n\n embed_ca = copy.deepcopy(self.ca)\n embed_YUV = [np.array([])] * 3\n\n self.idx_shuffle = random_strategy1(self.password_img, self.block_num,\n self.block_shape[0] * self.block_shape[1])\n for channel in range(3):\n tmp = self.pool.map(self.block_add_wm,\n [(self.ca_block[channel][self.block_index[i]], self.idx_shuffle[i], i)\n for i in range(self.block_num)])\n\n for i in range(self.block_num):\n self.ca_block[channel][self.block_index[i]] = tmp[i]\n\n # 4维分块变回2维\n self.ca_part[channel] = np.concatenate(np.concatenate(self.ca_block[channel], 1), 1)\n # 4维分块时右边和下边不能整除的长条保留，其余是主体部分，换成 embed 之后的频域的数据\n embed_ca[channel][:self.part_shape[0], :self.part_shape[1]] = self.ca_part[channel]\n # 逆变换回去\n embed_YUV[channel] = idwt2((embed_ca[channel], self.hvd[channel]), \"haar\")\n\n # 合并3通道\n embed_img_YUV = np.stack(embed_YUV, axis=2)\n # 之前如果不是2的整数，增加了白边，这里去除掉\n embed_img_YUV = embed_img_YUV[:self.img_shape[0], :self.img_shape[1]]\n embed_img = cv2.cvtColor(embed_img_YUV, cv2.COLOR_YUV2BGR)\n embed_img = np.clip(embed_img, a_min=0, a_max=255)\n\n if self.alpha is not None:\n embed_img = cv2.merge([embed_img.astype(np.uint8), self.alpha])\n return embed_img\n\n def block_get_wm(self, args):\n if self.fast_mode:\n return self.block_get_wm_fast(args)\n else:\n return self.block_get_wm_slow(args)\n\n def block_get_wm_slow(self, args):\n block, shuffler = args\n # dct->flatten->加密->逆flatten->svd->解水印\n block_dct_shuffled = dct(block).flatten()[shuffler].reshape(self.block_shape)\n\n u, s, v = svd(block_dct_shuffled)\n wm = (s[0] % self.d1 > self.d1 / 2) * 1\n if self.d2:\n tmp = (s[1] % self.d2 > self.d2 / 2) * 1\n wm = (wm * 3 + tmp * 1) / 4\n return wm\n\n def block_get_wm_fast(self, args):\n block, shuffler = args\n # dct->svd->解水印\n u, s, v = svd(dct(block))\n wm = (s[0] % self.d1 > self.d1 / 2) * 1\n\n return wm\n\n def extract_raw(self, img):\n # 每个分块提取 1 bit 信息\n self.read_img_arr(img=img)\n self.init_block_index()\n\n wm_block_bit = np.zeros(shape=(3, self.block_num)) # 3个channel，length 个分块提取的水印，全都记录下来\n\n self.idx_shuffle = random_strategy1(seed=self.password_img,\n size=self.block_num,\n block_shape=self.block_shape[0] * self.block_shape[1], # 16\n )\n for channel in range(3):\n wm_block_bit[channel, :] = self.pool.map(self.block_get_wm,\n [(self.ca_block[channel][self.block_index[i]], self.idx_shuffle[i])\n for i in range(self.block_num)])\n return wm_block_bit\n\n def extract_avg(self, wm_block_bit):\n # 对循环嵌入+3个 channel 求平均\n wm_avg = np.zeros(shape=self.wm_size)\n for i in range(self.wm_size):\n wm_avg[i] = wm_block_bit[:, i::self.wm_size].mean()\n return wm_avg\n\n def extract(self, img, wm_shape):\n self.wm_size = np.array(wm_shape).prod()\n\n # 提取每个分块埋入的 bit：\n wm_block_bit = self.extract_raw(img=img)\n # 做平均：\n wm_avg = self.extract_avg(wm_block_bit)\n return wm_avg\n\n def extract_with_kmeans(self, img, wm_shape):\n wm_avg = self.extract(img=img, wm_shape=wm_shape)\n\n return one_dim_kmeans(wm_avg)\n\n\ndef one_dim_kmeans(inputs):\n threshold = 0\n e_tol = 10 ** (-6)\n center = [inputs.min(), inputs.max()] # 1. 初始化中心点\n for i in range(300):\n threshold = (center[0] + center[1]) / 2\n is_class01 = inputs > threshold # 2. 检查所有点与这k个点之间的距离，每个点归类到最近的中心\n center = [inputs[~is_class01].mean(), inputs[is_class01].mean()] # 3. 重新找中心点\n if np.abs((center[0] + center[1]) / 2 - threshold) < e_tol: # 4. 停止条件\n threshold = (center[0] + center[1]) / 2\n break\n\n is_class01 = inputs > threshold\n return is_class01\n\n\ndef random_strategy1(seed, size, block_shape):\n return np.random.RandomState(seed) \\\n .random(size=(size, block_shape)) \\\n .argsort(axis=1)\n\n\ndef random_strategy2(seed, size, block_shape):\n one_line = np.random.RandomState(seed) \\\n .random(size=(1, block_shape)) \\\n .argsort(axis=1)\n\n return np.repeat(one_line, repeats=size, axis=0)\n"
},
{
"path": "blind_watermark/cli_tools.py",
"content": "from optparse import OptionParser\nfrom .blind_watermark import WaterMark\n\nusage1 = 'blind_watermark --embed --pwd 1234 image.jpg \"watermark text\" embed.png'\nusage2 = 'blind_watermark --extract --pwd 1234 --wm_shape 111 embed.png'\noptParser = OptionParser(usage=usage1 + '\\n' + usage2)\n\noptParser.add_option('--embed', dest='work_mode', action='store_const', const='embed'\n , help='Embed watermark into images')\noptParser.add_option('--extract', dest='work_mode', action='store_const', const='extract'\n , help='Extract watermark from images')\n\noptParser.add_option('-p', '--pwd', dest='password', help='password, like 1234')\noptParser.add_option('--wm_shape', dest='wm_shape', help='Watermark shape, like 120')\n\n(opts, args) = optParser.parse_args()\n\n\ndef main():\n bwm1 = WaterMark(password_img=int(opts.password))\n if opts.work_mode == 'embed':\n if not len(args) == 3:\n print('Error! Usage: ')\n print(usage1)\n return\n else:\n bwm1.read_img(args[0])\n bwm1.read_wm(args[1], mode='str')\n bwm1.embed(args[2])\n print('Embed succeed! to file ', args[2])\n print('Put down watermark size:', len(bwm1.wm_bit))\n\n if opts.work_mode == 'extract':\n if not len(args) == 1:\n print('Error! Usage: ')\n print(usage2)\n return\n\n else:\n wm_str = bwm1.extract(filename=args[0], wm_shape=int(opts.wm_shape), mode='str')\n print('Extract succeed! watermark is:')\n print(wm_str)\n\n\n'''\npython -m blind_watermark.cli_tools --embed --pwd 1234 examples/pic/ori_img.jpeg \"watermark text\" examples/output/embedded.png\npython -m blind_watermark.cli_tools --extract --pwd 1234 --wm_shape 111 examples/output/embedded.png\n\n\ncd examples\nblind_watermark --embed --pwd 1234 examples/pic/ori_img.jpeg \"watermark text\" examples/output/embedded.png\nblind_watermark --extract --pwd 1234 --wm_shape 111 examples/output/embedded.png\n'''\n"
},
{
"path": "blind_watermark/pool.py",
"content": "import sys\nimport multiprocessing\nimport warnings\n\nif sys.platform != 'win32':\n multiprocessing.set_start_method('fork')\n\n\nclass CommonPool(object):\n def map(self, func, args):\n return list(map(func, args))\n\n\nclass AutoPool(object):\n def __init__(self, mode, processes):\n\n if mode == 'multiprocessing' and sys.platform == 'win32':\n warnings.warn('multiprocessing not support in windows, turning to multithreading')\n mode = 'multithreading'\n\n self.mode = mode\n self.processes = processes\n\n if mode == 'vectorization':\n pass\n elif mode == 'cached':\n pass\n elif mode == 'multithreading':\n from multiprocessing.dummy import Pool as ThreadPool\n self.pool = ThreadPool(processes=processes)\n elif mode == 'multiprocessing':\n from multiprocessing import Pool\n self.pool = Pool(processes=processes)\n else: # common\n self.pool = CommonPool()\n\n def map(self, func, args):\n return self.pool.map(func, args)\n"
},
{
"path": "blind_watermark/recover.py",
"content": "import cv2\nimport numpy as np\n\nimport functools\n\n\n# 一个帮助缓存化加速的类，引入事实上的全局变量\nclass MyValues:\n def __init__(self):\n self.idx = 0\n self.image, self.template = None, None\n\n def set_val(self, image, template):\n self.idx += 1\n self.image, self.template = image, template\n\n\nmy_value = MyValues()\n\n\n@functools.lru_cache(maxsize=None, typed=False)\ndef match_template(w, h, idx):\n image, template = my_value.image, my_value.template\n resized = cv2.resize(template, dsize=(w, h))\n scores = cv2.matchTemplate(image, resized, cv2.TM_CCOEFF_NORMED)\n ind = np.unravel_index(np.argmax(scores, axis=None), scores.shape)\n return ind, scores[ind]\n\n\ndef match_template_by_scale(scale):\n image, template = my_value.image, my_value.template\n w, h = round(template.shape[1] * scale), round(template.shape[0] * scale)\n ind, score = match_template(w, h, idx=my_value.idx)\n return ind, score, scale\n\n\ndef search_template(scale=(0.5, 2), search_num=200):\n image, template = my_value.image, my_value.template\n # 局部暴力搜索算法，寻找最优的scale\n tmp = []\n min_scale, max_scale = scale\n\n max_scale = min(max_scale, image.shape[0] / template.shape[0], image.shape[1] / template.shape[1])\n\n max_idx = 0\n\n for i in range(2):\n for scale in np.linspace(min_scale, max_scale, search_num):\n ind, score, scale = match_template_by_scale(scale)\n tmp.append([ind, score, scale])\n\n # 寻找最佳\n max_idx = 0\n max_score = 0\n for idx, (ind, score, scale) in enumerate(tmp):\n if score > max_score:\n max_idx, max_score = idx, score\n\n min_scale, max_scale = tmp[max(0, max_idx - 1)][2], tmp[min(len(tmp) - 1, max_idx + 1)][2]\n\n search_num = 2 * int((max_scale - min_scale) * max(template.shape[1], template.shape[0])) + 1\n\n return tmp[max_idx]\n\n\ndef estimate_crop_parameters(original_file=None, template_file=None, ori_img=None, tem_img=None\n , scale=(0.5, 2), search_num=200):\n # 推测攻击后的图片，在原图片中的位置、大小\n if template_file:\n tem_img = cv2.imread(template_file, cv2.IMREAD_GRAYSCALE) # template image\n if original_file:\n ori_img = cv2.imread(original_file, cv2.IMREAD_GRAYSCALE) # image\n\n if scale[0] == scale[1] == 1:\n # 不缩放\n scale_infer = 1\n scores = cv2.matchTemplate(ori_img, tem_img, cv2.TM_CCOEFF_NORMED)\n ind = np.unravel_index(np.argmax(scores, axis=None), scores.shape)\n ind, score = ind, scores[ind]\n else:\n my_value.set_val(image=ori_img, template=tem_img)\n ind, score, scale_infer = search_template(scale=scale, search_num=search_num)\n w, h = int(tem_img.shape[1] * scale_infer), int(tem_img.shape[0] * scale_infer)\n x1, y1, x2, y2 = ind[1], ind[0], ind[1] + w, ind[0] + h\n return (x1, y1, x2, y2), ori_img.shape, score, scale_infer\n\n\ndef recover_crop(template_file=None, tem_img=None, output_file_name=None, loc=None, image_o_shape=None):\n if template_file:\n tem_img = cv2.imread(template_file) # template image\n\n (x1, y1, x2, y2) = loc\n\n img_recovered = np.zeros((image_o_shape[0], image_o_shape[1], 3))\n\n img_recovered[y1:y2, x1:x2, :] = cv2.resize(tem_img, dsize=(x2 - x1, y2 - y1))\n\n if output_file_name:\n cv2.imwrite(output_file_name, img_recovered)\n return img_recovered\n"
},
{
"path": "blind_watermark/requirements.txt",
"content": "blind-watermark"
},
{
"path": "blind_watermark/version.py",
"content": "__version__ = '0.4.4'\n\n\nclass Notes:\n def __init__(self):\n self.show = True\n\n def print_notes(self):\n if self.show:\n print(f'''\nWelcome to use blind-watermark, version = {__version__}\nMake sure the version is the same when encode and decode\nYour star means a lot: https://github.com/guofei9987/blind_watermark\nThis message only show once. To close it: `blind_watermark.bw_notes.close()`\n ''')\n self.close()\n\n def close(self):\n self.show = False\n\n\nbw_notes = Notes()\n"
},
{
"path": "docs/.nojekyll",
"content": ""
},
{
"path": "docs/README.md",
"content": "\n# [blind_watermark](https://github.com/guofei9987/blind_watermark)\n\n[](https://pypi.org/project/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://pypi.org/project/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/stargazers)\n[](https://github.com/guofei9987/blind_watermark/network/members)\n[](https://gitter.im/guofei9987/blind_watermark?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n\n\nHeuristic Algorithms in Python \n(Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm,Artificial Fish Swarm Algorithm in Python) \n\n\n- **Documentation:** [https://blind_watermark.github.io/blind_watermark/#/en/](https://blind_watermark.github.io/blind_watermark/#/en/)\n- **文档：** [https://blind_watermark.github.io/blind_watermark/#/zh/](https://blind_watermark.github.io/blind_watermark/#/zh/) \n- **Source code:** [https://github.com/guofei9987/blind_watermark](https://github.com/guofei9987/blind_watermark)\n\n"
},
{
"path": "docs/_coverpage.md",
"content": "\n\n# blind_watermark\n\n> 数字盲水印\n\n* 图片水印\n* 比特水印\n\n[GitHub](https://github.com/guofei9987/blind_watermark/)\n[Get Started](/en/README)\n"
},
{
"path": "docs/_navbar.md",
"content": "- Translations\n - [:uk: English](/en/)\n - [:cn: 中文](/zh/)\n"
},
{
"path": "docs/_sidebar.md",
"content": "\n* [English Document](docs/en.md)\n* [中文文档](docs/zh.md)\n"
},
{
"path": "docs/en/README.md",
"content": "\n# blind-watermark\n\nBlind watermark based on dct and svd.\n\n\n[](https://pypi.org/project/blind_watermark/)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://github.com/guofei9987/blind_watermark/blob/master/LICENSE)\n\n\n[](https://github.com/guofei9987/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/fork)\n[](https://pepy.tech/project/blind-watermark)\n[](https://github.com/guofei9987/blind_watermark/discussions)\n\n\n- **Documentation:** [https://BlindWatermark.github.io/blind_watermark/#/en/](https://BlindWatermark.github.io/blind_watermark/#/en/)\n- **文档：** [https://BlindWatermark.github.io/blind_watermark/#/zh/](https://BlindWatermark.github.io/blind_watermark/#/zh/) \n- **中文 readme** [README_cn.md](README_cn.md)\n- **Source code:** [https://github.com/guofei9987/blind_watermark](https://github.com/guofei9987/blind_watermark)\n\n\n\n# install\n```bash\npip install blind-watermark\n```\n\nFor the current developer version:\n```bach\ngit clone git@github.com:guofei9987/blind_watermark.git\ncd blind_watermark\npip install .\n```\n\n# How to use\n\n\n### Use in bash\n\n\n```bash\n# embed watermark into image:\nblind_watermark --embed --pwd 1234 examples/pic/ori_img.jpeg \"watermark text\" examples/output/embedded.png\n# extract watermark from image:\nblind_watermark --extract --pwd 1234 --wm_shape 111 examples/output/embedded.png\n```\n\n\n\n## Use in Python\n\nOriginal Image + Watermark = Watermarked Image\n\n + '@guofei9987 开源万岁！' = \n\n\nSee the [codes](/examples/example_str.py)\n\nEmbed watermark:\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_img('pic/ori_img.jpg')\nwm = '@guofei9987 开源万岁！'\nbwm1.read_wm(wm, mode='str')\nbwm1.embed('output/embedded.png')\nlen_wm = len(bwm1.wm_bit)\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n```\n\nExtract watermark:\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(wm_extract)\n```\nOutput:\n>@guofei9987 开源万岁！\n\n### attacks on Watermarked Image\n\n\n|attack method|image after attack|extracted watermark|\n|--|--|--|\n|Rotate 45 Degrees||'@guofei9987 开源万岁！'|\n|Random crop||'@guofei9987 开源万岁！'|\n|Masks|  |'@guofei9987 开源万岁！'|\n|50% Horizontal cut||'@guofei9987 开源万岁！'|\n|50% Vertical cut||'@guofei9987 开源万岁！'|\n|Resize 0.5||'@guofei9987 开源万岁！'|\n|Pepper Noise||'@guofei9987 开源万岁！'|\n|Brightness 10% Down||'@guofei9987 开源万岁！'|\n\n\n\n\n\n\n### embed images\n\nembed watermark:\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# read original image\nbwm1.read_img('pic/ori_img.jpg')\n# read watermark\nbwm1.read_wm('pic/watermark.png')\n# embed\nbwm1.embed('output/embedded.png')\n```\n\n\nExtract watermark:\n```python\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# notice that wm_shape is necessary\nbwm1.extract(filename='output/embedded.png', wm_shape=(128, 128), out_wm_name='output/extracted.png', )\n```\n\n\n|attack method|image after attack|extracted watermark|\n|--|--|--|\n|Rotate 45 Degrees|||\n|Random crop|||\n|Mask|  ||\n\n\n### embed array of bits\n\nSee it [here](/examples/example_bit.py)\n\n\nAs demo, we embed 6 bytes data:\n```python\nwm = [True, False, True, True, True, False]\n```\n\nEmbed:\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_ori_img('pic/ori_img.jpg')\nbwm1.read_wm([True, False, True, True, True, False], mode='bit')\nbwm1.embed('output/embedded.png')\n```\n\nExtract:\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1, wm_shape=6)\nwm_extract = bwm1.extract('output/打上水印的图.png', mode='bit')\nprint(wm_extract)\n```\nNotice that `wm_shape` (shape of watermark) is necessary\n\nThe output `wm_extract` is an array of float. set a threshold such as 0.5.\n\n\n# Concurrency\n\n```python\nWaterMark(..., processes=None)\n```\n- `processes`: number of processes, can be integer. Default `None`, meaning use all processes. \n\n## Related Project\n\ntext_blind_watermark: [https://github.com/guofei9987/text_blind_watermark](https://github.com/guofei9987/text_blind_watermark) \nEmbed message into text.\n"
},
{
"path": "docs/en/_coverpage.md",
"content": "\n\n# blind_watermark\n\n> Blind Watermark\n\n* [](https://pypi.org/project/blind_watermark/)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://github.com/guofei9987/blind_watermark/blob/master/LICENSE)\n\n\n[](https://github.com/guofei9987/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/fork)\n[](https://pepy.tech/project/blind-watermark)\n[](https://github.com/guofei9987/blind_watermark/discussions)\n* embed a picture\n* embed a string\n* embed byte-file\n\n[GitHub](https://github.com/guofei9987/blind_watermark/)\n[Get Started](/en/README)\n"
},
{
"path": "docs/en/_sidebar.md",
"content": "* [Document](en/README.md)\n\n"
},
{
"path": "docs/index.html",
"content": "\n\n\n \n blind_watermark\n \n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n"
},
{
"path": "docs/make_doc.py",
"content": "# 不想用 Sphinx，也不像弄一堆静态html文件，所以自己写个咯\n\n\n'''\n需要从readme中解析出：\n1. \"-> Demo code: [examples/demo_pso.py](examples/demo_pso.py)\"\n2. 三个```python为开头，三个 ``` 为结尾\n3. 从py文件中读出文本，并替换\n4. 前几行是求star，只在readme中出现\n\n\n需要从py文件中解析出：\n1. # %% 做断点后赋予index值，然后插入readme\n'''\nimport os\nimport sys\n\nimport re\n\n\ndef search_code(py_file_name, section_idx):\n '''\n 给定py文件名和section序号，返回一个list，内容是py文件中的code（markdown格式）\n :param py_file_name:\n :param section_idx:\n :return:\n '''\n with open('../' + py_file_name, encoding='utf-8', mode=\"r\") as f:\n content = f.readlines()\n content_new, i, search_idx, idx_first_match = [], 0, 0, None\n while i < len(content) and search_idx <= section_idx:\n if content[i].startswith('# %%'):\n search_idx += 1\n i += 1 # 带井号百分号的那一行也跳过去，不要放到文档里面\n if search_idx < section_idx:\n pass\n elif search_idx == section_idx:\n idx_first_match = idx_first_match or i # record first match line\n content_new.append(content[i])\n i += 1\n return [\n '-> Demo code: [{py_file_name}#s{section_idx}](https://github.com/guofei9987/blind_watermark/blob/master/{py_file_name}#L{idx_first_match})\\n'.\n format(py_file_name=py_file_name, section_idx=section_idx + 1, idx_first_match=idx_first_match),\n '```python\\n'] \\\n + content_new \\\n + ['```\\n']\n\n\n# %%\n\n\ndef make_doc(origin_file):\n with open(origin_file, encoding='utf-8', mode=\"r\") as f_readme:\n readme = f_readme.readlines()\n\n regex = re.compile('\\[examples/[\\w#.]+\\]')\n readme_idx = 0\n readme_new = []\n while readme_idx < len(readme):\n readme_line = readme[readme_idx]\n if readme_line.startswith('-> Demo code: ['):\n # 找到中括号里面的内容，解析为文件名，section号\n py_file_name, section_idx = regex.findall(readme[readme_idx])[0][1:-1].split('#s')\n section_idx = int(section_idx) - 1\n\n print('插入代码: ', py_file_name, section_idx)\n content_new = search_code(py_file_name, section_idx)\n readme_new.extend(content_new)\n\n # 往下寻找第一个代码结束位置\n while readme[readme_idx] != '```\\n':\n readme_idx += 1\n else:\n # 如果不需要插入代码，就用原本的内容\n readme_new.append(readme_line)\n\n readme_idx += 1\n return readme_new\n\n\n# 主页 README 和 en/README\nreadme_new = make_doc(origin_file='../README.md')\nwith open('../README.md', encoding='utf-8', mode=\"w\") as f_readme:\n f_readme.writelines(readme_new)\n\nwith open('en/README.md', encoding='utf-8', mode=\"w\") as f_readme_en:\n f_readme_en.writelines(readme_new[20:])\n\n# 跟目录的 README_cn.md 和 zh/README.md\nreadme_zh = make_doc(origin_file='../README_cn.md')\nwith open('../README_cn.md', encoding='utf-8', mode=\"w\") as f_readme:\n f_readme.writelines(readme_zh)\n\nwith open('zh/README.md', encoding='utf-8', mode=\"w\") as f_readme_en:\n f_readme_en.writelines(readme_zh)\n\n# docs = ['zh/README.md','en/README.md'\n# ]\n# for i in docs:\n# docs_new = make_doc(origin_file=i)\n# with open(i, encoding='utf-8', mode=\"w\") as f:\n# f.writelines(docs_new)\n\n# sys.exit()\n"
},
{
"path": "docs/run_server.bat",
"content": "docsify serve"
},
{
"path": "docs/vue.css",
"content": "@import url(\"https://fonts.googleapis.com/css?family=Roboto+Mono|Source+Sans+Pro:300,400,600\");\n\n* {\n -webkit-font-smoothing: antialiased;\n -webkit-overflow-scrolling: touch;\n -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n -webkit-text-size-adjust: none;\n -webkit-touch-callout: none;\n box-sizing: border-box\n}\n\nbody:not(.ready) {\n overflow: hidden\n}\n\nbody:not(.ready) .app-nav, body:not(.ready) > nav, body:not(.ready) [data-cloak] {\n display: none\n}\n\ndiv#app {\n font-size: 30px;\n font-weight: lighter;\n margin: 40vh auto;\n text-align: center\n}\n\ndiv#app:empty:before {\n content: \"Loading...\"\n}\n\n.emoji {\n height: 1.2rem;\n vertical-align: middle\n}\n\n.progress {\n background-color: var(--theme-color, #42b983);\n height: 2px;\n left: 0;\n position: fixed;\n right: 0;\n top: 0;\n transition: width .2s, opacity .4s;\n width: 0;\n z-index: 5\n}\n\n.search .search-keyword, .search a:hover {\n color: var(--theme-color, #42b983)\n}\n\n.search .search-keyword {\n font-style: normal;\n font-weight: 700\n}\n\nbody, html {\n height: 100%\n}\n\nbody {\n -moz-osx-font-smoothing: grayscale;\n -webkit-font-smoothing: antialiased;\n color: #34495e;\n font-family: Source Sans Pro, Helvetica Neue, Arial, sans-serif;\n font-size: 15px;\n letter-spacing: 0;\n margin: 0;\n overflow-x: hidden\n}\n\nimg {\n max-width: 100%\n}\n\na[disabled] {\n cursor: not-allowed;\n opacity: .6\n}\n\nkbd {\n border: 1px solid #ccc;\n border-radius: 3px;\n display: inline-block;\n font-size: 12px !important;\n line-height: 12px;\n margin-bottom: 3px;\n padding: 3px 5px;\n vertical-align: middle\n}\n\nli input[type=checkbox] {\n margin: 0 .2em .25em 0;\n vertical-align: middle\n}\n\n.app-nav {\n margin: 25px 60px 0 0;\n position: absolute;\n right: 0;\n text-align: right;\n z-index: 2\n}\n\n.app-nav.no-badge {\n margin-right: 0px\n}\n\n.app-nav.no-badge ul{\n padding: 0 0 0 0\n}\n\n.app-nav p {\n margin: 0\n}\n\n.app-nav > a {\n margin: 0 1rem;\n padding: 5px 0\n}\n\n.app-nav li, .app-nav ul {\n display: inline-block;\n list-style: none;\n margin: 0\n}\n\n.app-nav a {\n color: inherit;\n font-size: 16px;\n text-decoration: none;\n transition: color .3s\n}\n\n.app-nav a.active, .app-nav a:hover {\n color: var(--theme-color, #42b983)\n}\n\n.app-nav a.active {\n border-bottom: 2px solid var(--theme-color, #42b983)\n}\n\n.app-nav li {\n display: inline-block;\n margin: 0 1rem;\n padding: 5px 0;\n position: relative\n}\n\n.app-nav li ul {\n background-color: #fff;\n border: 1px solid #ddd;\n border-bottom-color: #ccc;\n border-radius: 4px;\n box-sizing: border-box;\n display: none;\n max-height: calc(100vh - 61px);\n overflow-y: auto;\n padding: 10px 0;\n position: absolute;\n right: -15px;\n text-align: left;\n top: 100%;\n white-space: nowrap\n}\n\n.app-nav li ul li {\n display: block;\n font-size: 14px;\n line-height: 1rem;\n margin: 0;\n margin: 8px 14px;\n white-space: nowrap\n}\n\n.app-nav li ul a {\n display: block;\n font-size: inherit;\n margin: 0;\n padding: 0\n}\n\n.app-nav li ul a.active {\n border-bottom: 0\n}\n\n.app-nav li:hover ul {\n display: block\n}\n\n.github-corner {\n border-bottom: 0;\n position: fixed;\n right: 0;\n text-decoration: none;\n top: 0;\n z-index: 1\n}\n\n.github-corner:hover .octo-arm {\n animation: a .56s ease-in-out\n}\n\n.github-corner svg {\n color: #fff;\n fill: var(--theme-color, #42b983);\n height: 80px;\n width: 80px\n}\n\nmain {\n display: block;\n position: relative;\n width: 100vw;\n height: 100%;\n z-index: 0\n}\n\nmain.hidden {\n display: none\n}\n\n.anchor {\n display: inline-block;\n text-decoration: none;\n transition: all .3s\n}\n\n.anchor span {\n color: #34495e\n}\n\n.anchor:hover {\n text-decoration: underline\n}\n\n.sidebar {\n border-right: 1px solid rgba(0, 0, 0, .07);\n overflow-y: auto;\n padding: 40px 0 0;\n position: absolute;\n top: 0;\n bottom: 0;\n left: 0;\n transition: transform .25s ease-out;\n width: 300px;\n z-index: 3\n}\n\n.sidebar > h1 {\n margin: 0 auto 1rem;\n font-size: 1.5rem;\n font-weight: 300;\n text-align: center\n}\n\n.sidebar > h1 a {\n color: inherit;\n text-decoration: none\n}\n\n.sidebar > h1 .app-nav {\n display: block;\n position: static\n}\n\n.sidebar .sidebar-nav {\n line-height: 1em;\n padding-bottom: 40px\n}\n\n.sidebar li.collapse .app-sub-sidebar {\n display: none\n}\n\n.sidebar ul {\n margin: 0 0 0 15px;\n padding: 0\n}\n\n.sidebar li > p {\n font-weight: 700;\n margin: 0\n}\n\n.sidebar ul, .sidebar ul li {\n list-style: none\n}\n\n.sidebar ul li a {\n border-bottom: none;\n display: block\n}\n\n.sidebar ul li ul {\n padding-left: 20px\n}\n\n.sidebar::-webkit-scrollbar {\n width: 4px\n}\n\n.sidebar::-webkit-scrollbar-thumb {\n background: transparent;\n border-radius: 4px\n}\n\n.sidebar:hover::-webkit-scrollbar-thumb {\n background: hsla(0, 0%, 53%, .4)\n}\n\n.sidebar:hover::-webkit-scrollbar-track {\n background: hsla(0, 0%, 53%, .1)\n}\n\n.sidebar-toggle {\n background-color: transparent;\n background-color: hsla(0, 0%, 100%, .8);\n border: 0;\n outline: none;\n padding: 10px;\n position: absolute;\n bottom: 0;\n left: 0;\n text-align: center;\n transition: opacity .3s;\n width: 284px;\n z-index: 4\n}\n\n.sidebar-toggle .sidebar-toggle-button:hover {\n opacity: .4\n}\n\n.sidebar-toggle span {\n background-color: var(--theme-color, #42b983);\n display: block;\n margin-bottom: 4px;\n width: 16px;\n height: 2px\n}\n\nbody.sticky .sidebar, body.sticky .sidebar-toggle {\n position: fixed\n}\n\n.content {\n padding-top: 60px;\n position: absolute;\n top: 0;\n right: 0;\n bottom: 0;\n left: 300px;\n transition: left .25s ease\n}\n\n.markdown-section {\n /*margin: 0 auto;*/\n margin: 1em auto;\n max-width: 1300px;\n padding: 30px 0 40px 0;\n position: relative\n}\n\n.markdown-section > * {\n box-sizing: border-box;\n font-size: inherit\n}\n\n.markdown-section > :first-child {\n margin-top: 0 !important\n}\n\n.markdown-section hr {\n border: none;\n border-bottom: 1px solid #eee;\n margin: 2em 0\n}\n\n.markdown-section iframe {\n border: 1px solid #eee\n}\n\n.markdown-section table {\n border-collapse: collapse;\n border-spacing: 0;\n display: block;\n margin-bottom: 1rem;\n overflow: auto;\n width: 100%\n}\n\n.markdown-section th {\n font-weight: 700\n}\n\n.markdown-section td, .markdown-section th {\n border: 1px solid #ddd;\n padding: 6px 13px\n}\n\n.markdown-section tr {\n border-top: 1px solid #ccc\n}\n\n.markdown-section p.tip, .markdown-section tr:nth-child(2n) {\n background-color: #f8f8f8\n}\n\n.markdown-section p.tip {\n border-bottom-right-radius: 2px;\n border-left: 4px solid #f66;\n border-top-right-radius: 2px;\n margin: 2em 0;\n padding: 12px 24px 12px 30px;\n position: relative\n}\n\n.markdown-section p.tip:before {\n background-color: #f66;\n border-radius: 100%;\n color: #fff;\n content: \"!\";\n font-family: Dosis, Source Sans Pro, Helvetica Neue, Arial, sans-serif;\n font-size: 14px;\n font-weight: 700;\n left: -12px;\n line-height: 20px;\n position: absolute;\n height: 20px;\n width: 20px;\n text-align: center;\n top: 14px\n}\n\n.markdown-section p.tip code {\n background-color: #efefef\n}\n\n.markdown-section p.tip em {\n color: #34495e\n}\n\n.markdown-section p.warn {\n background: rgba(66, 185, 131, .1);\n border-radius: 2px;\n padding: 1rem\n}\n\n.markdown-section ul.task-list > li {\n list-style-type: none\n}\n\nbody.close .sidebar {\n transform: translateX(-300px)\n}\n\nbody.close .sidebar-toggle {\n width: auto\n}\n\nbody.close .content {\n left: 0\n}\n\n@media print {\n .app-nav, .github-corner, .sidebar, .sidebar-toggle {\n display: none\n }\n}\n\n@media screen and (max-width: 768px) {\n .github-corner, .sidebar, .sidebar-toggle {\n position: fixed\n }\n\n .app-nav {\n margin-top: 16px\n }\n\n .app-nav li ul {\n top: 30px\n }\n\n main {\n height: auto;\n overflow-x: hidden\n }\n\n .sidebar {\n left: -300px;\n transition: transform .25s ease-out\n }\n\n .content {\n left: 0;\n max-width: 100vw;\n position: static;\n padding-top: 20px;\n transition: transform .25s ease\n }\n\n .app-nav, .github-corner {\n transition: transform .25s ease-out\n }\n\n .sidebar-toggle {\n background-color: transparent;\n width: auto;\n padding: 30px 30px 10px 10px\n }\n\n body.close .sidebar {\n transform: translateX(300px)\n }\n\n body.close .sidebar-toggle {\n background-color: hsla(0, 0%, 100%, .8);\n transition: background-color 1s;\n width: 284px;\n padding: 10px\n }\n\n body.close .content {\n transform: translateX(300px)\n }\n\n body.close .app-nav, body.close .github-corner {\n display: none\n }\n\n .github-corner:hover .octo-arm {\n animation: none\n }\n\n .github-corner .octo-arm {\n animation: a .56s ease-in-out\n }\n}\n\n@keyframes a {\n 0%, to {\n transform: rotate(0)\n }\n 20%, 60% {\n transform: rotate(-25deg)\n }\n 40%, 80% {\n transform: rotate(10deg)\n }\n}\n\nsection.cover {\n -ms-flex-align: center;\n align-items: center;\n background-position: 50%;\n background-repeat: no-repeat;\n background-size: cover;\n height: 100vh;\n display: none\n}\n\nsection.cover.show {\n display: -ms-flexbox;\n display: flex\n}\n\nsection.cover.has-mask .mask {\n background-color: #fff;\n opacity: .8;\n position: absolute;\n top: 0;\n height: 100%;\n width: 100%\n}\n\nsection.cover .cover-main {\n -ms-flex: 1;\n flex: 1;\n margin: -20px 16px 0;\n text-align: center;\n z-index: 1\n}\n\nsection.cover a {\n color: inherit\n}\n\nsection.cover a, section.cover a:hover {\n text-decoration: none\n}\n\nsection.cover p {\n line-height: 1.5rem;\n margin: 1em 0\n}\n\nsection.cover h1 {\n color: inherit;\n font-size: 2.5rem;\n font-weight: 300;\n margin: .625rem 0 2.5rem;\n position: relative;\n text-align: center\n}\n\nsection.cover h1 a {\n display: block\n}\n\nsection.cover h1 small {\n bottom: -.4375rem;\n font-size: 1rem;\n position: absolute\n}\n\nsection.cover blockquote {\n font-size: 1.5rem;\n text-align: center\n}\n\nsection.cover ul {\n line-height: 1.8;\n list-style-type: none;\n margin: 1em auto;\n max-width: 500px;\n padding: 0\n}\n\nsection.cover .cover-main > p:last-child a {\n border: 1px solid var(--theme-color, #42b983);\n border-radius: 2rem;\n box-sizing: border-box;\n color: var(--theme-color, #42b983);\n display: inline-block;\n font-size: 1.05rem;\n letter-spacing: .1rem;\n margin: .5rem 1rem;\n padding: .75em 2rem;\n text-decoration: none;\n transition: all .15s ease\n}\n\nsection.cover .cover-main > p:last-child a:last-child {\n background-color: var(--theme-color, #42b983);\n color: #fff\n}\n\nsection.cover .cover-main > p:last-child a:last-child:hover {\n color: inherit;\n opacity: .8\n}\n\nsection.cover .cover-main > p:last-child a:hover {\n color: inherit\n}\n\nsection.cover blockquote > p > a {\n border-bottom: 2px solid var(--theme-color, #42b983);\n transition: color .3s\n}\n\nsection.cover blockquote > p > a:hover {\n color: var(--theme-color, #42b983)\n}\n\n.sidebar, body {\n background-color: #fff\n}\n\n.sidebar {\n color: #364149\n}\n\n.sidebar li {\n margin: 6px 0\n}\n\n.sidebar ul li a {\n color: #505d6b;\n font-size: 14px;\n font-weight: 400;\n overflow: hidden;\n text-decoration: none;\n text-overflow: ellipsis;\n white-space: nowrap\n}\n\n.sidebar ul li a:hover {\n text-decoration: underline\n}\n\n.sidebar ul li ul {\n padding: 0\n}\n\n.sidebar ul li.active > a {\n border-right: 2px solid;\n color: var(--theme-color, #42b983);\n font-weight: 600\n}\n\n.app-sub-sidebar li:before {\n content: \"\";\n padding-right: 4px;\n float: left\n}\n\n.markdown-section h1, .markdown-section h2, .markdown-section h3, .markdown-section h4 {\n color: #2c3e50;\n font-weight: 600\n}\n\n.markdown-section strong {\n color: red;\n font-weight: 600\n}\n\n.markdown-section a {\n color: var(--theme-color, #42b983);\n font-weight: 600\n}\n\n\n.markdown-section h1 {\n font-size: 2.25rem;\n margin: 0 0 1rem\n}\n\n.markdown-section h2 {\n background: #c0cda5;\n font-size: 2.25rem;\n margin: 45px 0 .8rem\n}\n\n.markdown-section h3,h4,h5 {\n background: #e5f7f3;\n}\n\n.markdown-section h3 {\n font-size: 1.5rem;\n margin: 40px 0 .6rem\n}\n\n.markdown-section h4 {\n font-size: 1rem\n}\n\n.markdown-section h5 {\n font-size: 0.875rem\n}\n\n.markdown-section h6 {\n color: #777;\n font-size: 0.75rem\n}\n\n.markdown-section figure, .markdown-section p {\n margin: 1.5em 0 0 0\n /*上右下左*/\n}\n\n.markdown-section ol, .markdown-section p, .markdown-section ul {\n line-height: 1.6rem;\n word-spacing: .05rem\n}\n\n.markdown-section ol, .markdown-section ul {\n margin-top: 0px;\n padding-left: 1.5rem\n}\n\n.markdown-section blockquote {\n border-left: 8px solid var(--theme-color, #42b983);\n color: #858585;\n margin: 0 0;\n padding-left: 20px\n}\n\n.markdown-section blockquote p {\n font-weight: 600;\n margin-left: 0;\n margin-top: 0\n}\n\n.markdown-section iframe {\n margin: 1em 0\n}\n\n.markdown-section em {\n color: #7f8c8d\n}\n\n.markdown-section code {\n border-radius: 2px;\n color: #e96900;\n font-size: .8rem;\n margin: 0 2px;\n padding: 3px 5px;\n white-space: pre-wrap\n}\n\n.markdown-section code, .markdown-section pre {\n background-color: #f8f8f8;\n font-family: Roboto Mono, Monaco, courier, monospace\n}\n\n.markdown-section pre {\n -moz-osx-font-smoothing: initial;\n -webkit-font-smoothing: initial;\n line-height: 1.5rem;\n margin: 1.2em 0;\n overflow: auto;\n padding: 0 1.4rem;\n position: relative;\n word-wrap: normal\n}\n\n.token.cdata, .token.comment, .token.doctype, .token.prolog {\n color: #8e908c\n}\n\n.token.namespace {\n opacity: .7\n}\n\n.token.boolean, .token.number {\n color: #c76b29\n}\n\n.token.punctuation {\n color: #525252\n}\n\n.token.property {\n color: #c08b30\n}\n\n.token.tag {\n color: #2973b7\n}\n\n.token.string {\n color: var(--theme-color, #42b983)\n}\n\n.token.selector {\n color: #6679cc\n}\n\n.token.attr-name {\n color: #2973b7\n}\n\n.language-css .token.string, .style .token.string, .token.entity, .token.url {\n color: #22a2c9\n}\n\n.token.attr-value, .token.control, .token.directive, .token.unit {\n color: var(--theme-color, #42b983)\n}\n\n.token.function, .token.keyword {\n color: #e96900\n}\n\n.token.atrule, .token.regex, .token.statement {\n color: #22a2c9\n}\n\n.token.placeholder, .token.variable {\n color: #3d8fd1\n}\n\n.token.deleted {\n text-decoration: line-through\n}\n\n.token.inserted {\n border-bottom: 1px dotted #202746;\n text-decoration: none\n}\n\n.token.italic {\n font-style: italic\n}\n\n.token.bold, .token.important {\n font-weight: 700\n}\n\n.token.important {\n color: #c94922\n}\n\n.token.entity {\n cursor: help\n}\n\n.markdown-section pre > code {\n -moz-osx-font-smoothing: initial;\n -webkit-font-smoothing: initial;\n background-color: #f8f8f8;\n border-radius: 2px;\n color: #525252;\n display: block;\n font-family: Roboto Mono, Monaco, courier, monospace;\n font-size: .8rem;\n line-height: inherit;\n margin: 0 2px;\n max-width: inherit;\n overflow: inherit;\n padding: 2.2em 5px;\n white-space: inherit\n}\n\n.markdown-section code:after, .markdown-section code:before {\n letter-spacing: .05rem\n}\n\ncode .token {\n -moz-osx-font-smoothing: initial;\n -webkit-font-smoothing: initial;\n min-height: 1.5rem\n}\n\npre:after {\n color: #ccc;\n content: attr(data-lang);\n font-size: .6rem;\n font-weight: 600;\n height: 15px;\n line-height: 15px;\n padding: 5px 10px 0;\n position: absolute;\n right: 0;\n text-align: right;\n top: 0\n}\n"
},
{
"path": "docs/zh/README.md",
"content": "# blind-watermark\n\n基于频域的数字盲水印 \n\n\n[](https://pypi.org/project/blind_watermark/)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://github.com/guofei9987/blind_watermark/blob/master/LICENSE)\n\n\n[](https://github.com/guofei9987/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/fork)\n[](https://pepy.tech/project/blind-watermark)\n[](https://github.com/guofei9987/blind_watermark/discussions)\n\n\n- **Documentation:** [https://BlindWatermark.github.io/blind_watermark/#/en/](https://BlindWatermark.github.io/blind_watermark/#/en/)\n- **文档：** [https://BlindWatermark.github.io/blind_watermark/#/zh/](https://BlindWatermark.github.io/blind_watermark/#/zh/) \n- **English readme** [README.md](README.md)\n- **Source code:** [https://github.com/guofei9987/blind_watermark](https://github.com/guofei9987/blind_watermark)\n\n# 安装\n```bash\npip install blind-watermark\n```\n\n或者安装最新开发版本\n```bach\ngit clone git@github.com:guofei9987/blind_watermark.git\ncd blind_watermark\npip install .\n```\n\n# 如何使用\n\n### 命令行中使用\n\n```bash\n# 嵌入水印：\nblind_watermark --embed --pwd 1234 examples/pic/ori_img.jpeg \"watermark text\" examples/output/embedded.png\n# 提取水印：\nblind_watermark --extract --pwd 1234 --wm_shape 111 examples/output/embedded.png\n```\n\n\n\n## Python 中使用\n\n原图 + 水印 = 打上水印的图\n\n + '@guofei9987 开源万岁！' = \n\n\n\n参考 [代码](/examples/example_str.py)\n\n\n嵌入水印\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_img('pic/ori_img.jpg')\nwm = '@guofei9987 开源万岁！'\nbwm1.read_wm(wm, mode='str')\nbwm1.embed('output/embedded.png')\nlen_wm = len(bwm1.wm_bit)\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n```\n\n\n提取水印\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(wm_extract)\n```\nOutput:\n>@guofei9987 开源万岁！\n\n\n### 各种攻击后的效果\n\n|攻击方式|攻击后的图片|提取的水印|\n|--|--|--|\n|旋转攻击45度||'@guofei9987 开源万岁！'|\n|随机截图||'@guofei9987 开源万岁！'|\n|多遮挡|  |'@guofei9987 开源万岁！'|\n|横向裁剪50%||'@guofei9987 开源万岁！'|\n|纵向裁剪50%||'@guofei9987 开源万岁！'|\n|缩放攻击||'@guofei9987 开源万岁！'|\n|椒盐攻击||'@guofei9987 开源万岁！'|\n|亮度攻击||'@guofei9987 开源万岁！'|\n\n\n\n### 嵌入图片\n\n参考 [代码](/examples/example_str.py)\n\n\n嵌入：\n```python\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# read original image\nbwm1.read_img('pic/ori_img.jpg')\n# read watermark\nbwm1.read_wm('pic/watermark.png')\n# embed\nbwm1.embed('output/embedded.png')\n```\n\n提取：\n```python\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# notice that wm_shape is necessary\nbwm1.extract(filename='output/embedded.png', wm_shape=(128, 128), out_wm_name='output/extracted.png', )\n```\n\n|攻击方式|攻击后的图片|提取的水印|\n|--|--|--|\n|旋转攻击45度|||\n|随机截图|||\n|多遮挡|  ||\n\n\n\n### 隐水印还可以是二进制数据\n\n参考 [代码](/examples/example_bit.py)\n\n\n作为 demo， 如果要嵌入是如下长度为6的二进制数据\n```python\nwm = [True, False, True, True, True, False]\n```\n\n嵌入水印\n\n```python\n# 除了嵌入图片，也可以嵌入比特类数据\nfrom blind_watermark import WaterMark\n\nbwm1 = WaterMark(password_img=1, password_wm=1)\nbwm1.read_ori_img('pic/ori_img.jpg')\nbwm1.read_wm([True, False, True, True, True, False], mode='bit')\nbwm1.embed('output/打上水印的图.png')\n```\n\n解水印：（注意设定水印形状 `wm_shape`）\n```python\nbwm1 = WaterMark(password_img=1, password_wm=1, wm_shape=6)\nwm_extract = bwm1.extract('output/打上水印的图.png', mode='bit')\nprint(wm_extract)\n```\n\n解出的水印是一个0～1之间的实数，方便用户自行卡阈值。如果水印信息量远小于图片可容纳量，偏差极小。\n\n# 并行计算\n\n```python\nWaterMark(..., processes=None)\n```\n- `processes`: 整数，指定线程数。默认为 `None`, 表示使用全部线程。\n\n\n## 相关项目\n\ntext_blind_watermark: [https://github.com/guofei9987/text_blind_watermark](https://github.com/guofei9987/text_blind_watermark) \n文本盲水印，把信息隐秘地打入文本.\n"
},
{
"path": "docs/zh/_coverpage.md",
"content": "\n\n# blind_watermark\n\n> 数字盲水印\n\n* [](https://pypi.org/project/blind_watermark/)\n[](https://travis-ci.com/guofei9987/blind_watermark)\n[](https://codecov.io/gh/guofei9987/blind_watermark)\n[](https://github.com/guofei9987/blind_watermark/blob/master/LICENSE)\n\n\n[](https://github.com/guofei9987/blind_watermark/)\n[](https://github.com/guofei9987/blind_watermark/fork)\n[](https://pepy.tech/project/blind-watermark)\n[](https://github.com/guofei9987/blind_watermark/discussions)\n* 嵌入图片\n* 嵌入文本\n* 嵌入二进制\n\n[GitHub](https://github.com/guofei9987/blind_watermark/)\n[开始](/zh/README)\n"
},
{
"path": "docs/zh/_sidebar.md",
"content": "* [文档](zh/README.md)\n\n"
},
{
"path": "examples/example_bit.py",
"content": "# -*- coding: utf-8 -*-\n# -*- coding: utf-8 -*-\n\nfrom blind_watermark import att\nfrom blind_watermark import WaterMark\nimport cv2\nfrom blind_watermark.recover import estimate_crop_parameters, recover_crop\nimport numpy as np\nimport os\n\nos.chdir(os.path.dirname(__file__))\n\n# %%\n\nbwm = WaterMark(password_img=1, password_wm=1)\n\n# 读取原图\nbwm.read_img('pic/ori_img.jpeg')\n\n# 读取水印\nwm = [True, False, True, False, True, False, True, False, True, False]\nbwm.read_wm(wm, mode='bit')\n\n# 打上盲水印\nbwm.embed('output/embedded.png')\n\nlen_wm = len(wm) # 解水印需要用到长度\nori_img_shape = cv2.imread('pic/ori_img.jpeg').shape[:2] # 抗攻击需要知道原图的shape\nh, w = ori_img_shape\n\n# %% 解水印\n\n# 注意设定水印的长宽wm_shape\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='bit')\nprint(\"不攻击的提取结果：\", wm_extract)\n\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%截屏攻击\n\nloc = ((0.3, 0.1), (0.7, 0.9))\n\natt.cut_att(input_filename='output/embedded.png', output_file_name='output/截屏攻击.png', loc=loc)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/截屏攻击.png', wm_shape=len_wm, mode='bit')\nprint(\"截屏攻击{loc}后的提取结果：\".format(loc=loc), wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n\n# %%截屏攻击1 = 裁剪攻击 + 缩放攻击 + 知道攻击参数（之后按照参数还原）\n\nloc_r = ((0.1, 0.1), (0.5, 0.5))\nscale = 0.7\n\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\n# 截屏攻击\natt.cut_att3(input_filename='output/embedded.png', output_file_name='output/截屏攻击1.png',\n loc=(x1, y1, x2, y2), scale=scale)\n\nrecover_crop(template_file='output/截屏攻击1.png', output_file_name='output/截屏攻击1_还原.png',\n loc=(x1, y1, x2, y2), image_o_shape=ori_img_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/截屏攻击1_还原.png', wm_shape=len_wm, mode='bit')\nprint(\"截屏攻击{loc}后的提取结果：\".format(loc=loc), wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%椒盐攻击\nratio = 0.05\natt.salt_pepper_att(input_filename='output/embedded.png', output_file_name='output/椒盐攻击.png', ratio=ratio)\n# ratio是椒盐概率\n\n# 提取\nwm_extract = bwm1.extract('output/椒盐攻击.png', wm_shape=len_wm, mode='bit')\nprint(f\"椒盐攻击ratio={ratio}后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%旋转攻击\natt.rot_att(input_filename='output/embedded.png', output_file_name='output/旋转攻击.png', angle=45)\natt.rot_att(input_filename='output/旋转攻击.png', output_file_name='output/旋转攻击_还原.png', angle=-45)\n\n# 提取水印\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/旋转攻击_还原.png', wm_shape=len_wm, mode='bit')\nprint(\"旋转攻击后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%遮挡攻击\nn = 60\natt.shelter_att(input_filename='output/embedded.png', output_file_name='output/多遮挡攻击.png', ratio=0.1, n=n)\n\n# 提取\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/多遮挡攻击.png', wm_shape=len_wm, mode='bit')\nprint(f\"遮挡攻击{n}后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%缩放攻击\natt.resize_att(input_filename='output/embedded.png', output_file_name='output/缩放攻击.png', out_shape=(800, 600))\natt.resize_att(input_filename='output/缩放攻击.png', output_file_name='output/缩放攻击_还原.png', out_shape=ori_img_shape[::-1])\n# out_shape 是分辨率，需要颠倒一下\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/缩放攻击_还原.png', wm_shape=len_wm, mode='bit')\nprint(\"缩放攻击后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n"
},
{
"path": "examples/example_demo.ipynb",
"content": "{\n \"cells\": [\n {\n \"cell_type\": \"code\",\n \"execution_count\": 6,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"from blind_watermark import WaterMark\\n\",\n \"import matplotlib.pyplot as plt\\n\",\n \"import matplotlib.pylab as pylab\\n\",\n \"from PIL import Image\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Embed Watermark\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 7,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Put down the length of wm_bit 135\\n\"\n ]\n }\n ],\n \"source\": [\n \"bwm1 = WaterMark(password_img=1, password_wm=1)\\n\",\n \"bwm1.read_img('./pic/Lena_512x512.jpg')\\n\",\n \"wm = '@testingwatermark'\\n\",\n \"bwm1.read_wm(wm, mode='str')\\n\",\n \"bwm1.embed('output/embedded.png')\\n\",\n \"len_wm = len(bwm1.wm_bit)\\n\",\n \"print('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 8,\n \"metadata\": {},\n \"outputs\": [],\n \"source\": [\n \"original_img = Image.open(\\\"./pic/Lena_512x512.jpg\\\")\\n\",\n \"wat_img = Image.open(\\\"./output/embedded.png\\\")\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 9,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"image/png\": 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\\n\",\n \"text/plain\": [\n \"\"\n ]\n },\n \"metadata\": {\n \"needs_background\": \"light\"\n },\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"plt.figure(figsize=(20, 8))\\n\",\n \"\\n\",\n \"# Plot original watermark image\\n\",\n \"ax = plt.subplot(1, 2, 1)\\n\",\n \"plt.imshow(original_img)\\n\",\n \"plt.title( \\\"Original Image\\\")\\n\",\n \"plt.gray()\\n\",\n \"\\n\",\n \"# Plot watermark image\\n\",\n \"ax = plt.subplot(1, 2, 2)\\n\",\n \"plt.imshow(wat_img)\\n\",\n \"plt.title( \\\"Watermarked Image\\\")\\n\",\n \"plt.gray()\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Extract Watermark\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 10,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"@testingwatermark\\n\"\n ]\n }\n ],\n \"source\": [\n \"bwm1 = WaterMark(password_img=1, password_wm=1)\\n\",\n \"wm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\\n\",\n \"print(wm_extract)\"\n ]\n }\n ],\n \"metadata\": {\n \"kernelspec\": {\n \"display_name\": \"Python 3\",\n \"language\": \"python\",\n \"name\": \"python3\"\n },\n \"language_info\": {\n \"codemirror_mode\": {\n \"name\": \"ipython\",\n \"version\": 3\n },\n \"file_extension\": \".py\",\n \"mimetype\": \"text/x-python\",\n \"name\": \"python\",\n \"nbconvert_exporter\": \"python\",\n \"pygments_lexer\": \"ipython3\",\n \"version\": \"3.8.5\"\n },\n \"vscode\": {\n \"interpreter\": {\n \"hash\": \"05eb79573922dc719a579a014f3479c37ee316e1def974c5854751c654dbaca4\"\n }\n }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
},
{
"path": "examples/example_img.py",
"content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\nimport cv2\n\nfrom blind_watermark import WaterMark\nimport os\n\nos.chdir(os.path.dirname(__file__))\nbwm = WaterMark(password_wm=1, password_img=1)\n# 读取原图\nbwm.read_img(filename='pic/ori_img.jpeg')\n# 读取水印\nbwm.read_wm('pic/watermark.png')\n# 打上盲水印\nbwm.embed('output/embedded.png')\nwm_shape = cv2.imread('pic/watermark.png', flags=cv2.IMREAD_GRAYSCALE).shape\n\n# %% 解水印\n\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\n# 注意需要设定水印的长宽wm_shape\nbwm1.extract('output/embedded.png', wm_shape=wm_shape, out_wm_name='output/wm_extracted.png', mode='img')\n"
},
{
"path": "examples/example_no_writing.py",
"content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nThis demonstrates how to embed and extract without writing files to local file system.\nThe format of images is numpy.array.\nThis may be useful if you want to use blind-watermark in another project.\n\"\"\"\nimport blind_watermark\nfrom blind_watermark import WaterMark\nfrom blind_watermark import att\nfrom blind_watermark.recover import estimate_crop_parameters, recover_crop\nimport cv2\nimport numpy as np\nimport os\n\nblind_watermark.bw_notes.close()\n\nos.chdir(os.path.dirname(__file__))\nori_img = cv2.imread('pic/ori_img.jpeg', flags=cv2.IMREAD_UNCHANGED)\nwm = '@guofei9987 开源万岁！'\nori_img_shape = ori_img.shape[:2] # 抗攻击有时需要知道原图的shape\nh, w = ori_img_shape\n\n# %% embed string into image whose format is numpy.array\nbwm = WaterMark(password_img=1, password_wm=1)\nbwm.read_img(img=ori_img)\n\nbwm.read_wm(wm, mode='str')\nembed_img = bwm.embed()\n\nlen_wm = len(bwm.wm_bit) # 解水印需要用到长度\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n\n# %% extract from image whose format is numpy.array\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract(embed_img=embed_img, wm_shape=len_wm, mode='str')\nprint(\"不攻击的提取结果：\", wm_extract)\n\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%截屏攻击1 = 裁剪攻击 + 缩放攻击 + 知道攻击参数（按照参数还原）\n\nloc_r = ((0.1, 0.1), (0.5, 0.5))\nscale = 0.7\n\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\nimg_attacked = att.cut_att3(input_img=embed_img, output_file_name=None, loc=(x1, y1, x2, y2), scale=scale)\n\n# 还原攻击\nimg_recover = recover_crop(tem_img=img_attacked, loc=(x1, y1, x2, y2), image_o_shape=ori_img_shape)\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\nprint(\"截屏攻击={loc}，缩放攻击={resize}，并且知道攻击参数。提取结果：\".format(loc=(x1, y1, x2, y2), resize=scale), wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %% 截屏攻击2 = 剪切攻击 + 缩放攻击 + 不知道攻击参数（因此需要 estimate_crop_parameters 来推测攻击参数）\n\nloc_r = ((0.1, 0.1), (0.7, 0.6))\nscale = 0.7\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\nprint(f'Crop attack\\'s real parameters: x1={x1},y1={y1},x2={x2},y2={y2}')\nimg_attacked = att.cut_att3(input_img=embed_img, loc=(x1, y1, x2, y2), scale=scale)\n\n# estimate crop attack parameters:\n(x1, y1, x2, y2), image_o_shape, score, scale_infer = estimate_crop_parameters(ori_img=embed_img,\n tem_img=img_attacked,\n scale=(0.5, 2), search_num=200)\n\nprint(f'Crop att estimate parameters: x1={x1},y1={y1},x2={x2},y2={y2}, scale_infer = {scale_infer}. score={score}')\n\n# recover from attack:\nimg_recover = recover_crop(tem_img=img_attacked, loc=(x1, y1, x2, y2), image_o_shape=image_o_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\nprint(\"截屏攻击，不知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%裁剪攻击1 = 裁剪 + 不做缩放 + 知道攻击参数\nloc_r = ((0.1, 0.2), (0.5, 0.5))\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\nimg_attacked = att.cut_att3(input_img=embed_img, loc=(x1, y1, x2, y2), scale=None)\n\n# recover from attack:\nimg_recover = recover_crop(tem_img=img_attacked,\n loc=(x1, y1, x2, y2), image_o_shape=image_o_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\nprint(\"裁剪攻击，知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %% 裁剪攻击2 = 裁剪 + 不做缩放 + 不知道攻击参数\nloc_r = ((0.1, 0.1), (0.5, 0.4))\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\nimg_attacked = att.cut_att3(input_img=embed_img, loc=(x1, y1, x2, y2), scale=None)\n\nprint(f'Cut attack\\'s real parameters: x1={x1},y1={y1},x2={x2},y2={y2}')\n\n# estimate crop attack parameters:\n(x1, y1, x2, y2), image_o_shape, score, scale_infer = estimate_crop_parameters(ori_img=embed_img,\n tem_img=img_attacked,\n scale=(1, 1), search_num=None)\n\nprint(f'Cut attack\\'s estimate parameters: x1={x1},y1={y1},x2={x2},y2={y2}. score={score}')\n\n# recover from attack:\nimg_recover = recover_crop(tem_img=img_attacked,\n loc=(x1, y1, x2, y2), image_o_shape=image_o_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\nprint(\"裁剪攻击，不知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%椒盐攻击\nratio = 0.05\nimg_attacked = att.salt_pepper_att(input_img=embed_img, ratio=ratio)\n# ratio是椒盐概率\n\n# 提取\nwm_extract = bwm1.extract(embed_img=img_attacked, wm_shape=len_wm, mode='str')\nprint(f\"椒盐攻击ratio={ratio}后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%旋转攻击\nangle = 60\nimg_attacked = att.rot_att(input_img=embed_img, angle=angle)\nimg_recover = att.rot_att(input_img=img_attacked, angle=-angle)\n\n# 提取水印\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\nprint(f\"旋转攻击angle={angle}后的提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%遮挡攻击\nn = 60\nimg_attacked = att.shelter_att(input_img=embed_img, ratio=0.1, n=n)\n\n# 提取\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_attacked, wm_shape=len_wm, mode='str')\nprint(f\"遮挡攻击{n}次后的提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%缩放攻击\nimg_attacked = att.resize_att(input_img=embed_img, out_shape=(400, 300))\nimg_recover = att.resize_att(input_img=img_attacked, out_shape=ori_img_shape[::-1])\n# out_shape 是分辨率，需要颠倒一下\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\nprint(\"缩放攻击后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n# %%\n\nimg_attacked = att.bright_att(input_img=embed_img, ratio=0.9)\nimg_recover = att.bright_att(input_img=img_attacked, ratio=1.1)\nwm_extract = bwm1.extract(embed_img=img_recover, wm_shape=len_wm, mode='str')\n\nprint(\"亮度攻击后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n"
},
{
"path": "examples/example_str.py",
"content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n# embed string\nimport numpy as np\nfrom blind_watermark import WaterMark\nfrom blind_watermark import att\nfrom blind_watermark.recover import estimate_crop_parameters, recover_crop\nimport cv2\nimport os\n\nos.chdir(os.path.dirname(__file__))\n\nbwm = WaterMark(password_img=1, password_wm=1)\nbwm.read_img('pic/ori_img.jpeg')\nwm = '@guofei9987 开源万岁！'\nbwm.read_wm(wm, mode='str')\nbwm.embed('output/embedded.png')\n\nlen_wm = len(bwm.wm_bit) # 解水印需要用到长度\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n\nori_img_shape = cv2.imread('pic/ori_img.jpeg').shape[:2] # 抗攻击有时需要知道原图的shape\nh, w = ori_img_shape\n\n# %% 解水印\nbwm1 = WaterMark(password_img=1, password_wm=1)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(\"不攻击的提取结果：\", wm_extract)\n\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%截屏攻击1 = 裁剪攻击 + 缩放攻击 + 知道攻击参数（之后按照参数还原）\n\nloc_r = ((0.1, 0.1), (0.5, 0.5))\nscale = 0.7\n\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\n# 截屏攻击\natt.cut_att3(input_filename='output/embedded.png', output_file_name='output/截屏攻击1.png',\n loc=(x1, y1, x2, y2), scale=scale)\n\nrecover_crop(template_file='output/截屏攻击1.png', output_file_name='output/截屏攻击1_还原.png',\n loc=(x1, y1, x2, y2), image_o_shape=ori_img_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/截屏攻击1_还原.png', wm_shape=len_wm, mode='str')\nprint(\"截屏攻击，知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %% 截屏攻击2 = 剪切攻击 + 缩放攻击 + 不知道攻击参数（因此需要 estimate_crop_parameters 来推测攻击参数）\nloc_r = ((0.1, 0.1), (0.7, 0.6))\nscale = 0.7\n\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\nprint(f'Crop attack\\'s real parameters: x1={x1},y1={y1},x2={x2},y2={y2}')\natt.cut_att3(input_filename='output/embedded.png', output_file_name='output/截屏攻击2.png',\n loc=(x1, y1, x2, y2), scale=scale)\n\n# estimate crop attack parameters:\n(x1, y1, x2, y2), image_o_shape, score, scale_infer = estimate_crop_parameters(original_file='output/embedded.png',\n template_file='output/截屏攻击2.png',\n scale=(0.5, 2), search_num=200)\n\nprint(f'Crop att estimate parameters: x1={x1},y1={y1},x2={x2},y2={y2}, scale_infer = {scale_infer}. score={score}')\n\n# recover from attack:\nrecover_crop(template_file='output/截屏攻击2.png', output_file_name='output/截屏攻击2_还原.png',\n loc=(x1, y1, x2, y2), image_o_shape=image_o_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/截屏攻击2_还原.png', wm_shape=len_wm, mode='str')\nprint(\"截屏攻击，不知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%裁剪攻击1 = 裁剪 + 不做缩放 + 知道攻击参数\nloc_r = ((0.1, 0.2), (0.5, 0.5))\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\natt.cut_att3(input_filename='output/embedded.png', output_file_name='output/随机裁剪攻击.png',\n loc=(x1, y1, x2, y2), scale=None)\n\n# recover from attack:\nrecover_crop(template_file='output/随机裁剪攻击.png', output_file_name='output/随机裁剪攻击_还原.png',\n loc=(x1, y1, x2, y2), image_o_shape=image_o_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/随机裁剪攻击_还原.png', wm_shape=len_wm, mode='str')\nprint(\"裁剪攻击，知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %% 裁剪攻击2 = 裁剪 + 不做缩放 + 不知道攻击参数\nloc_r = ((0.1, 0.1), (0.5, 0.4))\nx1, y1, x2, y2 = int(w * loc_r[0][0]), int(h * loc_r[0][1]), int(w * loc_r[1][0]), int(h * loc_r[1][1])\n\natt.cut_att3(input_filename='output/embedded.png', output_file_name='output/随机裁剪攻击2.png',\n loc=(x1, y1, x2, y2), scale=None)\n\nprint(f'Cut attack\\'s real parameters: x1={x1},y1={y1},x2={x2},y2={y2}')\n\n# estimate crop attack parameters:\n(x1, y1, x2, y2), image_o_shape, score, scale_infer = estimate_crop_parameters(original_file='output/embedded.png',\n template_file='output/随机裁剪攻击2.png',\n scale=(1, 1), search_num=None)\n\nprint(f'Cut attack\\'s estimate parameters: x1={x1},y1={y1},x2={x2},y2={y2}. score={score}')\n\n# recover from attack:\nrecover_crop(template_file='output/随机裁剪攻击2.png', output_file_name='output/随机裁剪攻击2_还原.png',\n loc=(x1, y1, x2, y2), image_o_shape=image_o_shape)\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/随机裁剪攻击2_还原.png', wm_shape=len_wm, mode='str')\nprint(\"裁剪攻击，不知道攻击参数。提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%椒盐攻击\nratio = 0.05\natt.salt_pepper_att(input_filename='output/embedded.png', output_file_name='output/椒盐攻击.png', ratio=ratio)\n# ratio是椒盐概率\n\n# 提取\nwm_extract = bwm1.extract('output/椒盐攻击.png', wm_shape=len_wm, mode='str')\nprint(f\"椒盐攻击ratio={ratio}后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n\n# %%旋转攻击\nangle = 60\natt.rot_att(input_filename='output/embedded.png', output_file_name='output/旋转攻击.png', angle=angle)\natt.rot_att(input_filename='output/旋转攻击.png', output_file_name='output/旋转攻击_还原.png', angle=-angle)\n\n# 提取水印\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/旋转攻击_还原.png', wm_shape=len_wm, mode='str')\nprint(f\"旋转攻击angle={angle}后的提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%遮挡攻击\nn = 60\natt.shelter_att(input_filename='output/embedded.png', output_file_name='output/多遮挡攻击.png', ratio=0.1, n=n)\n\n# 提取\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/多遮挡攻击.png', wm_shape=len_wm, mode='str')\nprint(f\"遮挡攻击{n}次后的提取结果：\", wm_extract)\nassert wm == wm_extract, '提取水印和原水印不一致'\n\n# %%缩放攻击\natt.resize_att(input_filename='output/embedded.png', output_file_name='output/缩放攻击.png', out_shape=(400, 300))\natt.resize_att(input_filename='output/缩放攻击.png', output_file_name='output/缩放攻击_还原.png',\n out_shape=ori_img_shape[::-1])\n# out_shape 是分辨率，需要颠倒一下\n\nbwm1 = WaterMark(password_wm=1, password_img=1)\nwm_extract = bwm1.extract('output/缩放攻击_还原.png', wm_shape=len_wm, mode='str')\nprint(\"缩放攻击后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n# %%亮度攻击\n\natt.bright_att(input_filename='output/embedded.png', output_file_name='output/亮度攻击.png', ratio=0.9)\natt.bright_att(input_filename='output/亮度攻击.png', output_file_name='output/亮度攻击_还原.png', ratio=1.1)\nwm_extract = bwm1.extract('output/亮度攻击_还原.png', wm_shape=len_wm, mode='str')\n\nprint(\"亮度攻击后的提取结果：\", wm_extract)\nassert np.all(wm == wm_extract), '提取水印和原水印不一致'\n"
},
{
"path": "examples/example_str_multi.py",
"content": "#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n'''\ndemonstrate multiprocessing and multithreading\n'''\n# embed string\nfrom blind_watermark import WaterMark\nimport cv2\nimport os\n\nos.chdir(os.path.dirname(__file__))\n\nmode = 'multiprocessing'\nbwm = WaterMark(password_img=1, password_wm=1, processes=mode)\nbwm.read_img('pic/ori_img.jpeg')\nwm = '@guofei9987 开源万岁！'\nbwm.read_wm(wm, mode='str')\nbwm.embed('output/embedded.png')\n\nlen_wm = len(bwm.wm_bit) # 解水印需要用到长度\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n\nori_img_shape = cv2.imread('pic/ori_img.jpeg').shape[:2] # 抗攻击有时需要知道原图的shape\nh, w = ori_img_shape\n\n# %% 解水印\nbwm1 = WaterMark(password_img=1, password_wm=1, processes=mode)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(\"不攻击的提取结果：\", wm_extract)\n\nassert wm == wm_extract, '提取水印和原水印不一致'\n\nmode = 'multithreading'\n\nbwm = WaterMark(password_img=1, password_wm=1, processes=mode)\nbwm.read_img('pic/ori_img.jpeg')\nwm = '@guofei9987 开源万岁！'\nbwm.read_wm(wm, mode='str')\nbwm.embed('output/embedded.png')\n\nlen_wm = len(bwm.wm_bit) # 解水印需要用到长度\nprint('Put down the length of wm_bit {len_wm}'.format(len_wm=len_wm))\n\nori_img_shape = cv2.imread('pic/ori_img.jpeg').shape[:2] # 抗攻击有时需要知道原图的shape\nh, w = ori_img_shape\n\n# %% 解水印\nbwm1 = WaterMark(password_img=1, password_wm=1, processes=mode)\nwm_extract = bwm1.extract('output/embedded.png', wm_shape=len_wm, mode='str')\nprint(\"不攻击的提取结果：\", wm_extract)\n\nassert wm == wm_extract, '提取水印和原水印不一致'\n"
},
{
"path": "examples/output/.keep",
"content": ""
},
{
"path": "requirements.txt",
"content": "numpy>=1.17.0\nopencv-python\nsetuptools\nPyWavelets\n"
},
{
"path": "setup.py",
"content": "from setuptools import setup, find_packages\nfrom os import path as os_path\nimport blind_watermark\n\nthis_directory = os_path.abspath(os_path.dirname(__file__))\n\n\n# 读取文件内容\ndef read_file(filename):\n with open(os_path.join(this_directory, filename), encoding='utf-8') as f:\n long_description = f.read()\n return long_description\n\n\n# 获取依赖\ndef read_requirements(filename):\n return [line.strip() for line in read_file(filename).splitlines()\n if not line.startswith('#')]\n\n\nsetup(name='blind_watermark',\n python_requires='>=3.5',\n version=blind_watermark.__version__,\n description='Blind Watermark in Python',\n long_description=read_file('docs/en/README.md'),\n long_description_content_type=\"text/markdown\",\n url='https://github.com/guofei9987/blind_watermark',\n author='Guo Fei',\n author_email='guofei9987@foxmail.com',\n license='MIT',\n packages=find_packages(),\n platforms=['linux', 'windows', 'macos'],\n install_requires=['numpy', 'opencv-python', 'PyWavelets'],\n zip_safe=False,\n entry_points={\n 'console_scripts': [\n 'blind_watermark = blind_watermark.cli_tools:main'\n ]\n })\n"
}
]