pyril 0.2.1.post5

Rust Imaging Library's Python binding: A performant and high-level image processing library for Python written in Rust

ril

Rust Imaging Library: A performant and high-level image processing library for Python written in Rust.

What's this?

This is a python binding around ril designed to provide an easy-to-use, high-level interface around image processing in Rust. Image and animation processing has never been this easy and fast before.

Support

⚠ This package is a work in progress and it heavily depends on the progress of ril

By the first stable release, we plan to support the following image encodings:

Encoding Format	Current Status
PNG / APNG	Supported
JPEG	Supported
GIF	Supported
WebP	Not yet supported
BMP	Not yet supported
TIFF	Not yet supported

Installation

**This package is published to pypi under the name pyril due to a pypi limitation.

It will be published under ril in the future, if possible.

Prebuilt wheels

There will be prebuilt wheels for those platforms:

• Linux x86-64: Cpython 3.7, 3.8, 3.9, 3.10, PyPy 3.7, 3.8, 3.9
• MacOS x86-64: Cpython 3.7, 3.8, 3.9, 3.10, PyPy 3.7, 3.8, 3.9
• Windows x86-64: Cpython 3.7, 3.8, 3.9, 3.10, PyPy 3.7, 3.8, 3.9
• Linux i686: Cpython 3.7, 3.8, 3.9, 3.10, PyPy 3.7, 3.8, 3.9
• MacOS aarch64: Cpython 3.8, 3.9, 3.10

If you want another platform to have prebuilt wheels, please open an issue.

CPython 3.11 support will be available once its ABI has been stablized.

If your platform have prebuilt wheels, installing is as simple as

pip install pyril

Building from Source

In order to build from source, you will need to have the Rust compiler available in your PATH. See documentation on https://rust-lang.org to learn how to install Rust on your platform.

Then building is as simple as

pip install pyril

or from Github

pip install git+https://github.com/Cryptex-github/ril-py

Pip will handle the building process.

Examples

Open an image, invert it, and then save it:

from ril import Image

image = Image.open("example.png")
image.invert()

image.save("example.png")

Create a new black image, open the sample image, and paste it on top of the black image:

from ril import Image, Pixel

image = Image.new(600, 600, Pixel.from_rgb(0, 0, 0))
image.paste(100, 100, Image.open("sample.png"))

image.save("sample_on_black.png", "PNG") # You can also specify format if you like