Image processors and filters.
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file instakit-0.5.3.tar.gz.
File metadata
- Download URL: instakit-0.5.3.tar.gz
- Upload date:
- Size: 1.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c018b347daeae505028e06b52702cd22e0462337ccbbd3cd58d3dbd2c14fe43b
|
|
| MD5 |
5e20f0d78661d6b6873c041e12e562a1
|
|
| BLAKE2b-256 |
ab4b9eef1d00d413a5bc99b48f3ddcd44d48d048640e24874edbd801ca196125
|
