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.
FAQs
Image processors for django-imagekit - based on Pillow, SciPy, and scikit-image
We found that instakit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
OpenSSF has published OSPS Baseline, an initiative designed to establish a minimum set of security-related best practices for open source software projects.
Security News
Michigan TypeScript founder Dimitri Mitropoulos implements WebAssembly runtime in TypeScript types, enabling Doom to run after processing 177 terabytes of type definitions.
Security News
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
