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.
1 maintainer
Metadata
1 maintainer
Release files for instakit 0.8.3
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-0.8.3.tar.gz | 2.8 MB | Details |
Release files / instakit-0.8.3.tar.gz
| Download URL | instakit-0.8.3.tar.gz |
|---|---|
| Size | 2.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
87aacdfdf0be56290777c82989d85191ee4a74e1e48315d09b04c1bb104ceb5f
|
|
BLAKE2b-256 checksum How to use checksums |
4cd99cd2bb0ba14b5120cc0dcdabf23c6f8b2678d40b29ee6da1a80f6320a2cb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.5
|
