Metadata-Version: 2.1
Name: layeris
Version: 0.1.3
Summary: An open source image processing library that supports blend modes, curve adjustment, and other adjustments that graphic designers or photographers frequently use
Home-page: https://github.com/subwaymatch/layer-is-python
Author: Ye Joo Park
Author-email: subwaymatch@gmail.com
License: UNKNOWN
Description: <p align="center">
        <img src="https://user-images.githubusercontent.com/1064036/66263389-f9e12e00-e82c-11e9-87d4-1b792fb16c7b.png">
        </p>
        
        # Layer.is
        A library that supports all blend modes in Photoshop, brightness, contrast, hue, saturation, lightness adjustments, and curve adjustments on separate RGB channels. 
        
        ## Why use Layer.is? 
        
        - Supports all frequently used blend modes in Photoshop
        - Chain operations (like jQuery)
        - Straightforward API to manipulate images
        - Load sequence of operations from JSON
        - Can apply curve adjustment selectively to RGB channels
        
        ## Requirements
        Layer.is requires Python 3.6 or higher. 
        
        ## Quick Start
        
        ### Installation
        Install layer-is from PyPI repository. 
        ```sh
        $ pip install layeris
        ```
        
        ### Load/Save an image
        
        #### Loading an image from file
        ```python
        from layeris.layer_image import LayerImage
        
        image = LayerImage.from_file('/path/to/your/image.jpg')
        ```
        
        #### Loading an image from URL
        ```python
        from layeris.layer_image import LayerImage
        
        image = LayerImage.from_url('https://your-image-url')
        ```
        
        #### Saving an image
        ```python
        image.save('output.jpg')
        ```
        
        You can also specify the image quality between 0 - 100 by passing in the optional `quality` parameter. By default, `quality` is set to 75. 
        ```python
        image.save('output.jpg', 90)
        ```
        
        
        ### Basic operations
        
        #### Grayscale
        ```python
        image.grayscale()
        ```
        ![sample_grayscale](https://user-images.githubusercontent.com/1064036/66761386-e2fea380-eede-11e9-8c62-3ef88d6ee289.jpg)
        
        ### Blend mode operations
        
        The descriptions for each blend mode operation are copied from [https://helpx.adobe.com/photoshop/using/blending-modes.html](https://helpx.adobe.com/photoshop/using/blending-modes.html).
        
        #### Darken
        Looks at the color information in each channel and selects the base or blend colorâ€”whichever is darkerâ€”as the result color. Pixels lighter than the blend color are replaced, and pixels darker than the blend color do not change.
        ```python
        grayscale_image.darken('#3fe28f')
        ```
        ![sample_darken](https://user-images.githubusercontent.com/1064036/66762165-6b317880-eee0-11e9-960c-560d4f021aa2.jpg)
        
        #### Multiply
        Looks at the color information in each channel and multiplies the base color by the blend color. The result color is always a darker color. Multiplying any color with black produces black. Multiplying any color with white leaves the color unchanged. When youâ€™re painting with a color other than black or white, successive strokes with a painting tool produce progressively darker colors. The effect is similar to drawing on the image with multiple marking pens.
        ```python
        grayscale_image.multiply('#3fe28f')
        ```
        ![sample_multiply](https://user-images.githubusercontent.com/1064036/66762301-af247d80-eee0-11e9-928d-4fa4a826f167.jpg)
        
        #### Color Burn
        Looks at the color information in each channel and darkens the base color to reflect the blend color by increasing the contrast between the two. Blending with white produces no change.
        ```python
        grayscale_image.color_burn('#7fe3f8')
        ```
        ![sample_color_burn](https://user-images.githubusercontent.com/1064036/66762811-9f596900-eee1-11e9-961c-d673a6009a49.jpg)
        
        
        #### Linear Burn
        Looks at the color information in each channel and darkens the base color to reflect the blend color by decreasing the brightness. Blending with white produces no change.
        ```python
        grayscale_image.linear_burn('#e1a8ff')
        ```
        ![sample_linear_burn](https://user-images.githubusercontent.com/1064036/66762820-a2ecf000-eee1-11e9-95df-6625e2da712c.jpg)
        
        #### Lighten
        Looks at the color information in each channel and selects the base or blend colorâ€”whichever is lighterâ€”as the result color. Pixels darker than the blend color are replaced, and pixels lighter than the blend color do not change.
        ```python
        image.lighten('#ff3ce1')
        ```
        ![sample_lighten](https://user-images.githubusercontent.com/1064036/66764586-117f7d00-eee5-11e9-96b6-e387e46d93e2.jpg)
        
        #### Screen
        Looks at each channelâ€™s color information and multiplies the inverse of the blend and base colors. The result color is always a lighter color. Screening with black leaves the color unchanged. Screening with white produces white. The effect is similar to projecting multiple photographic slides on top of each other.
        ```python
        image.screen('#e633ba')
        ```
        ![sample_screen](https://user-images.githubusercontent.com/1064036/66764718-59060900-eee5-11e9-9539-23428676b4de.jpg)
        
        #### Color Dodge
        Looks at the color information in each channel and brightens the base color to reflect the blend color by decreasing contrast between the two. Blending with black produces no change.
        ```python
        image.color_dodge('#490cc7')
        ```
        ![sample_color_dodge](https://user-images.githubusercontent.com/1064036/66764854-a7b3a300-eee5-11e9-968c-cff40b1ea524.jpg)
        
        #### Linear Dodge
        Looks at the color information in each channel and brightens the base color to reflect the blend color by increasing the brightness. Blending with black produces no change.
        ```python
        image.linear_dodge('#490cc7')
        ```
        ![sample_linear_dodge](https://user-images.githubusercontent.com/1064036/66764998-efd2c580-eee5-11e9-9795-f56976c639b2.jpg)
        
        #### Overlay
        Multiplies or screens the colors, depending on the base color. Patterns or colors overlay the existing pixels while preserving the highlights and shadows of the base color. The base color is not replaced, but mixed with the blend color to reflect the lightness or darkness of the original color.
        ```python
        image.overlay('#ffb956')
        ```
        ![sample_overlay](https://user-images.githubusercontent.com/1064036/66765248-78e9fc80-eee6-11e9-99ff-7b1df141ac40.jpg)
        
        #### Soft Light
        Darkens or lightens the colors, depending on the blend color. The effect is similar to shining a diffused spotlight on the image. If the blend color (light source) is lighter than 50% gray, the image is lightened as if it were dodged. If the blend color is darker than 50% gray, the image is darkened as if it were burned in. Painting with pure black or white produces a distinctly darker or lighter area, but does not result in pure black or white.
        ```python
        image.soft_light('#ff3cbc')
        ```
        ![sample_soft_light](https://user-images.githubusercontent.com/1064036/66765355-b77fb700-eee6-11e9-844a-5adb3b47b9cd.jpg)
        
        #### Hard Light
        Multiplies or screens the colors, depending on the blend color. The effect is similar to shining a harsh spotlight on the image. If the blend color (light source) is lighter than 50% gray, the image is lightened, as if it were screened. This is useful for adding highlights to an image. If the blend color is darker than 50% gray, the image is darkened, as if it were multiplied. This is useful for adding shadows to an image. Painting with pure black or white results in pure black or white.
        ```python
        image.hard_light('#df5dff')
        ```
        ![sample_hard_light](https://user-images.githubusercontent.com/1064036/66765542-16453080-eee7-11e9-8a14-7fb1b6076618.jpg)
        
        #### Vivid Light
        Burns or dodges the colors by increasing or decreasing the contrast, depending on the blend color. If the blend color (light source) is lighter than 50% gray, the image is lightened by decreasing the contrast. If the blend color is darker than 50% gray, the image is darkened by increasing the contrast.
        ```python
        image.vivid_light('#ac5b7f')
        ```
        ![sample_vivid_light](https://user-images.githubusercontent.com/1064036/66765734-818f0280-eee7-11e9-8fce-1f03a2d08675.jpg)
        
        #### Linear Light
        Burns or dodges the colors by decreasing or increasing the brightness, depending on the blend color. If the blend color (light source) is lighter than 50% gray, the image is lightened by increasing the brightness. If the blend color is darker than 50% gray, the image is darkened by decreasing the brightness.
        ```python
        image.linear_light('#9fa500')
        ```
        ![sample_linear_light](https://user-images.githubusercontent.com/1064036/66765909-d29ef680-eee7-11e9-99ac-a088c4d2ae95.jpg)
        
        #### Pin Light
        Replaces the colors, depending on the blend color. If the blend color (light source) is lighter than 50% gray, pixels darker than the blend color are replaced, and pixels lighter than the blend color do not change. If the blend color is darker than 50% gray, pixels lighter than the blend color are replaced, and pixels darker than the blend color do not change. This is useful for adding special effects to an image.
        ```python
        image.pin_light('#005546')
        ```
        ![sample_pin_light](https://user-images.githubusercontent.com/1064036/66766030-185bbf00-eee8-11e9-998a-8c44b6d34132.jpg)
        
        ### Non-blend mode operations
        
        #### Brightness
        
        Please note that this operation has yet to discover the exact algorithm (formula) used by Photoshop. However, the method used here is very close and extremely fast. 
        
        ```python
        image.brightness(0.2)
        ```
        
        
        #### Contrast
        ```python
        image.contrast(1.15)
        ```
        
        #### Hue
        ```python
        image.hue(0.2)
        ```
        
        #### Saturation
        ```python
        image.saturation(-0.5)
        ```
        
        #### Lightness
        ```python
        image.lightness(-0.8)
        ```
        
        ### Other utility methods
        
        #### Getting image as NumPy array
        ```python
        image.get_image_as_array()
        ```
        This will return a NumPy array with shape (`height`, `width`, 3). Note that the each pixel value is 
        
        
        #### Cloning a LayerImage instance
        ```python
        image.clone()
        ```
        
        
        ## Roadmap
        
        - Add resizing capabilities using scikit-image.
        - Imitate Photoshop's auto brightness & auto contrast features
        - Add presets of filters
        
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
