Image processors and filters, inspired by Instagram, and ready for use with django-imagekit.
Included are filters for Atkinson-dither halftoning, dot-pitch halftoning (with GCR and per-channel pipeline processors), classes for Numpy-based image processors, Gaussian kernel functions, processors for applying curves to images from Photoshop .acv files, imagekit-ready processors exposing Pillow’s many image adjustment algorithms (e.g. noise and blur functions, histogram-based adjustments like Brightness/Contrast, and many others), and an implementation of the entropy-based smart-crop algorithm that many know from the easy-thumbnails Django app.
Experienced users may also make use of the many utilities shipping with instakit: LUT maps, color structs, pipeline processing primitives and ink-based separation simulation tools, and other related miscellany.
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Release files for instakit 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| instakit-0.4.1.tar.gz | 1.6 MB | Details |
Release files / instakit-0.4.1.tar.gz
| Download URL | instakit-0.4.1.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
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38c7e72882a7ff0348301b29162adf6fe5679bf4e47fef15006d3e2c313f1498
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twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
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