https://github.com/fish2000/instakit

Image processors and filters for use with ImageKit
https://github.com/fish2000/instakit

cython django filter image-processing image-processor imagekit numpy pil pillow python python3 scikit-image scipy

Last synced: 6 days ago
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Image processors and filters for use with ImageKit

• Host: GitHub
• URL: https://github.com/fish2000/instakit
• Owner: fish2000
• License: other
• Created: 2012-11-12T17:19:49.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2022-03-16T05:53:40.000Z (over 2 years ago)
• Last Synced: 2024-10-31T08:42:04.033Z (13 days ago)
• Topics: cython, django, filter, image-processing, image-processor, imagekit, numpy, pil, pillow, python, python3, scikit-image, scipy
• Language: Python
• Size: 19 MB
• Stars: 103
• Watchers: 6
• Forks: 10
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
INSTAKIT

========

Instakit† is a suite of image processors and filters, for processing PIL images.

InstaKit processors use the same API as [PILKit](https://github.com/matthewwithanm/pilkit)'s,

so they can be used with anything that supports those, including [ImageKit](https://github.com/matthewwithanm/django-imagekit).

Or you can just use them by themselves to process images using Python.

![one](http://i.imgur.com/pQ6Vw.jpg)

Image Processors and Utilities On Offer:

-----------------------------------------------------

* `instakit.processors.adjust`

    * `Color(0.0 – 1.0)`

    * `Brightness(0.0 – 1.0)`

    * `Contrast(0.0 – 1.0)`

    * `Sharpness(0.0 – 1.0)`

    * `Invert()`

    * `Equalize([mask])`

    * `AutoContrast([cutoff{uint8_t}, [ignore{uint8_t}]])`

    * `Solarize([threshold{uint8_t}])`

    * `Posterize([bits{2**n}])`

* `instakit.processors.blur`

    * `Contour()`

    * `Detail()`

    * `Emboss()`

    * `FindEdges()`

    * `EdgeEnhance()`

    * `EdgeEnhanceMore()`

    * `Smooth()`

    * `SmoothMore()`

    * `Sharpen()`

    * `UnsharpMask([radius=2, [percent=150, [threshold=3]]])`

    * `SimpleGaussianBlur([radius=2])`

    * `GaussianBlur([sigmaX=3, [sigmaY=3, [sigmaZ=3]]])`

    

* `instakit.processors.curves`

    * `InterpolationMode`

        * `LINEAR`, `NEAREST`, `ZERO`, `SLINEAR`, `QUADRATIC`, `CUBIC`, `PREVIOUS`, `NEXT`, `LAGRANGE`

    * `CurveSet(, [InterpolationMode.LAGRANGE])`

* `instakit.processors.halftone`

    * `Atkinson([threshold{uint8_t}])`

    * `FloydSteinberg([threshold{uint8_t}])`

    * `SlowAtkinson([threshold{uint8_t}])`

    * `SlowFloydSteinberg([threshold{uint8_t}])`

    * `CMYKAtkinson([gcr=20{%}])`

    * `CMYKFloydsterBill([gcr=20{%}])`

    * `DotScreen([sample=1, [scale=2, [angle=0{°}]]])`

    * `CMYKDotScreen([gcr=20{%}, [sample=10, [scale=10, [thetaC=0{°}, [thetaM=15{°}, [theta=30{°}, [thetaK=45{°}]]]]]]])`

* `instakit.processors.noise`

    * `GaussianNoise()`

    * `PoissonNoise()`

    * `GaussianLocalVarianceNoise()`

    * `SaltNoise()`

    * `PepperNoise()`

    * `SaltAndPepperNoise()`

    * `SpeckleNoise()`

* `instakit.processors.squarecrop`

    * `histogram_entropy(image)`

    * `SquareCrop()` … smart!

* `instakit.utils.ext.api` (Cythonized)

    * `hsluv_to_rgb(…)`

    * `rgb_to_hsluv(…)`

    * `hpluv_to_rgb(…)`

    * `rgb_to_hpluv(…)`

* `instakit.utils.gcr`

    * `gcr(image, [percentage=20{%}, [revert_mode=False]])`

    * `BasicGCR([percentage=20{%}, [revert_mode=False]])`

* `instakit.utils.kernels`

* `instakit.utils.lutmap`

* `instakit.utils.mode`

    * `Mode`

        * `MONO`, `L`, `I`, `F`, `P`, `RGB`, `RGBX`, `RGBA`, `CMYK`, `YCbCr`, `LAB`, `HSV`, `RGBa`, `LA`, `La`, `PA`, `I16`, `I16L`, `I16B`

        * Many useful `PIL.Image` delegate methods (q.v. source)

* `instakit.utils.ndarrays`

* `instakit.utils.pipeline`

    * `Pipe`, `Ink`, `NOOp`

    * `CMYKInk` and `RGBInk`

    * `ChannelFork` and `ChannelOverprinter`

* `instakit.utils.static`

* `instakit.utils.stats`

![two](http://i.imgur.com/ln1Eq.jpg)

![three](http://i.imgur.com/MBuC5.jpg)

As of this first draft there are [Instagrammy](http://www.instagram.com/) image-curve adjusters and a few other geegaws.

Instakit is made available to you and the public at large under the [MIT license](http://opensource.org/licenses/MIT) -- see LICENSE.md for the full text.

 † née “django-instakit” – All dependencies and traces of Django have since been excised, with thanks to [matthewwithanm](https://github.com/matthewwithanm).