Metadata-Version: 2.1
Name: blind_watermark
Version: 0.0.3
Summary: Blind Watermark in Python
Home-page: https://github.com/guofei9987/blind_watermark
Author: Guo Fei
Author-email: guofei9987@foxmail.com
License: MIT
Description: # blind-watermark
        
        Blind watermark based on wavelet transform.
        
        
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        ![Python](https://img.shields.io/badge/python->=3.5-green.svg)
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        - **Documentation:** [https://BlindWatermark.github.io/blind_watermark/#/en/](https://BlindWatermark.github.io/blind_watermark/#/en/)
        - **文档：** [https://BlindWatermark.github.io/blind_watermark/#/zh/](https://BlindWatermark.github.io/blind_watermark/#/zh/)  
        - **中文 readme** [readme_cn.md](readme_cn.md)
        - **Source code:** [https://github.com/guofei9987/blind_watermark](https://github.com/guofei9987/blind_watermark)
        
        
        # install
        ```bash
        pip install blind-watermark
        ```
        
        For the current developer version:
        ```bach
        git clone git@github.com:guofei9987/blind_watermark.git
        cd blind_watermark
        pip install .
        ```
        
        ## How to use
        
        How to embed watermark: 
        ```python
        from blind_watermark import WaterMark
        
        bwm1 = WaterMark(password_wm=1, password_img=1)
        # read original image
        bwm1.read_img('pic/ori_img.jpg')
        # read watermark
        bwm1.read_wm('pic/watermark.png')
        # embed 
        bwm1.embed('output/embedded.png')
        ```
        
        
        How to extract watermark
        ```python
        bwm1 = WaterMark(password_wm=1, password_img=1)
        # notice that wm_shape is necessary
        bwm1.extract(filename='output/embedded.png', wm_shape=(128, 128), out_wm_name='output/extracted.png', )
        ```
        
        ## demos:
        
        |origin image|watermark|
        |--|--|
        |![origin_image](docs/原图.jpg)|![watermark](docs/水印.png)|
        
        |image embedded with watermark|extracted watermark|
        |--|--|
        |![打上水印的图](docs/打上水印的图.jpg)|![提取的水印](docs/解出的水印.png)|
        
        
        
        ### Attack on the embedded image
        
        
        |attack method|image after attack|extracted watermark|
        |--|--|--|
        |Rotate 45 Degrees<br>[旋转攻击.py](examples/旋转攻击.py)|![旋转攻击](docs/旋转攻击.jpg)|![](docs/旋转攻击_提取水印.png)|
        |Many Coverage<br>[多遮挡攻击.py](examples/多遮挡攻击.py)| ![多遮挡攻击](docs/多遮挡攻击.jpg) |![多遮挡_提取水印](docs/多遮挡攻击_提取水印.png)|
        |50% Horizontal Crop<br>[横向裁剪攻击.py](examples/横向裁剪攻击.py)|![横向裁剪攻击](docs/横向裁剪攻击.jpg)|![](docs/横向裁剪攻击_提取水印.png)|
        |50% Vertical Crop<br>[纵向裁剪攻击.py](examples/纵向裁剪攻击.py)|![纵向裁剪攻击](docs/纵向裁剪攻击.jpg)|![纵向裁剪](docs/纵向裁剪攻击_提取水印.png)|
        |Resize（1200X1920->600X800）<br>[缩放攻击.py](examples/缩放攻击.py)|![缩放攻击](docs/缩放攻击.jpg)|![](docs/缩放攻击_提取水印.png)|
        |Pepper Noise<br>[椒盐击.py](examples/椒盐攻击.py)|![椒盐攻击](docs/椒盐攻击.jpg)|![](docs/椒盐攻击_提取水印.png)|
        |Brightness 10% Up<br>[亮度调高攻击.py](examples/亮度调高攻击.py)|![亮度调高攻击](docs/亮度调高攻击.jpg)|![](docs/亮度调高攻击_提取水印.png)|
        |Brightness 10% Down<br>[亮度调暗攻击.py](examples/亮度调低攻击.py)|![亮度调低攻击](docs/亮度调低攻击.jpg)|![](docs/亮度调低攻击_提取水印.png)|
        
        
        
        
        ### embed array of bits
        
        As demo, we embed 6 bytes data:
        ```python
        wm = [True, False, True, True, True, False]
        ```
        
        Embed:
        ```python
        from blind_watermark import WaterMark
        
        bwm1 = WaterMark(password_img=1, password_wm=1)
        bwm1.read_ori_img('pic/ori_img.jpg')
        bwm1.read_wm([True, False, True, True, True, False], mode='bit')
        bwm1.embed('output/embedded.png')
        ```
        
        Extract:
        ```python
        bwm1 = WaterMark(password_img=1, password_wm=1, wm_shape=6)
        wm_extract = bwm1.extract('output/打上水印的图.png', mode='bit')
        print(wm_extract)
        ```
        Notice that `wm_shape` (shape of watermark) is necessary
        
        The output `wm_extract` is an array of float. set a threshold such as 0.5.
        
        
Platform: linux
Platform: windows
Platform: macos
Requires-Python: >=3.5
Description-Content-Type: text/markdown
