ril-py
Rust Imaging Library for Python: Python bindings for ril, a performant and high-level image processing library 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
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 on 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 these 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 stabilized.
If your platform has 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
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