Metadata-Version: 2.1
Name: imgkerneliu
Version: 0.0.1
Summary: Image kernel.
Home-page: https://github.com/liuyunclouder/imgkerneliu
Author: ken
Author-email: liuyunclouder@gmail.com
License: UNKNOWN
Description: # imgkernel
        An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. 
        
        ## 安装
        
        ``` sh
        pip install imgkernel
        ```
        
        ## 使用
        
        
        ```python
        import imgkernel
        import matplotlib.pyplot as plt
        %matplotlib inline
        
        def show2imgs(img1, img2, title=None):
            fig = plt.figure(figsize=(10, 5))
        
            if title is not None:
                fig.suptitle(title)
        
            plt.subplot(121)
            plt.axis('off')
            plt.imshow(img1)
        
            plt.subplot(122)
            plt.axis('off')
            plt.imshow(img2)
        
            plt.show()
        
        imgpath = 'image.jpeg'
        ```
        
        ### 1. 鲜明
        
        
        ```python
        show2imgs(*imgkernel.identity(imgpath, gray=False, iden=1.6), 'imgkernel.identity()')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_identity.png)
        
        ### 2. 模糊
        
        
        ```python
        show2imgs(*imgkernel.blur(imgpath, gray=False), 'imgkernel.blur()')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_blur.png)
        
        ### 3. 锐利
        
        
        ```python
        show2imgs(*imgkernel.sharpen(imgpath, gray=False, inner=1.7,  edge=-0.08), 'imgkernel.sharpen()')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_sharpen.png)
        
        ### 4. 浮雕
        
        
        ```python
        show2imgs(*imgkernel.emboss(imgpath, gray=False), 'imgkernel.emboss()')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_emboss.png)
        
        ### 5. 轮廓线
        
        
        ```python
        show2imgs(*imgkernel.outline(imgpath, gray=False, inner=8.9, outer=-1.29), 'imgkernel.outline()')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_outline.png)
        
        ### 6. 边沿检测
        
        #### 6.1 上边沿
        
        
        ```python
        show2imgs(*imgkernel.sobel(imgpath, gray=False, direction='top', base=0.03), 'imgkernel.sobel(top)')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_sobel_top.png)
        
        #### 6.2 下边沿
        
        
        ```python
        show2imgs(*imgkernel.sobel(imgpath, gray=False, direction='bottom', base=0.03), 'imgkernel.sobel(bottom)')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_sobel_bottom.png)
        
        #### 6.3 左边沿
        
        
        ```python
        show2imgs(*imgkernel.sobel(imgpath, gray=False, direction='left', base=0.03), 'imgkernel.sobel(left)')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_sobel_left.png)
        
        #### 6.4 右边沿
        
        
        ```python
        show2imgs(*imgkernel.sobel(imgpath, gray=False, direction='right', base=0.03), 'imgkernel.sobel(right)')
        ```
        
        ![](http://cdn.kenblog.top/imgkernel_sobel_right.png)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
