Image processors for django-imagekit - based on Pillow, SciPy, and scikit-image
Project description
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.
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-0.8.9.tar.gz.
File metadata
- Download URL: instakit-0.8.9.tar.gz
- Upload date:
- Size: 2.8 MB
- Tags: Source
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bea335f600c55b0709cb5917238ffc466f455a8db4f18385d539289f9fc38e19
|
|
| MD5 |
d42402ba033355b5d736ea6bb83be94c
|
|
| BLAKE2b-256 |
76caeff26c22f5fc514d4231df8ec3539bfdb8608ce6ddaf15bea1c9b181dc35
|
