Instakit: Filters and Tools; BYO Facebook Buyout
Image processors and filters - inspired by Instagram, built on top of the PIL/Pillow, SciPy and scikit-image packages, accelerated with Cython, and ready to use with PILKit and the django-imagekit framework.
Included are filters for Atkinson and Floyd-Steinberg dithering, dot-pitch halftoning (with GCR and per-channel pipeline processors), classes exposing image-processing pipeline data as NumPy ND-arrays, Gaussian kernel functions, processors for applying channel-based LUT curves to images from Photoshop .acv files, imagekit-ready processors furnishing streamlined access to a wide schmorgasbord of Pillow's many image adjustment algorithms (e.g. noise, blur, and sharpen functions, histogram-based operations like Brightness/Contrast, among others), an implementation of the entropy-based smart-crop algorithm many will recognize from the easy-thumbnails Django app - and much more.
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Release files for instakit 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| instakit-0.9.0.tar.gz | 2.8 MB | Details |
Release files / instakit-0.9.0.tar.gz
| Download URL | instakit-0.9.0.tar.gz |
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| Size | 2.8 MB |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
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