Cross-platform GPU image processing library built on Slang/slangpy (Metal, CUDA, Vulkan). Placeholder release — under active development.
Project description
SlangImage
Cross-platform GPU image processing library built on Slang via slangpy — one codebase running on Metal, CUDA, and Vulkan, with PyTorch tensor interop and fp16-first pipelines.
Status: under active development. This 0.0.x release is a placeholder reserving the package name; the first usable release will be 0.1.0.
Planned surface:
import slangimage as si
img = si.load("photo.jpg", dtype="fp16") # or si.from_torch(t)
out = si.ops.surface_blur(img, radius=9, bsigma=0.05)
out = si.ops.vibrance(out, amount=0.6)
out.save("out.png") # or out.to_torch()
SlangImage is built on Slang and slangpy but is not affiliated with the Slang project or Khronos.
Project details
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file slangimage-0.0.1.tar.gz.
File metadata
- Download URL: slangimage-0.0.1.tar.gz
- Upload date:
- Size: 1.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c64e255705c808201cbf3d243eb8380493723cc429cc3ddd6067e3ede2183264
|
|
| MD5 |
254892b057ffb45143dfe8365384d793
|
|
| BLAKE2b-256 |
82865be3a64528c57ad4db26ac0e80b678e60ba961b3da89c0ab843e74d1fff1
|
File details
Details for the file slangimage-0.0.1-py3-none-any.whl.
File metadata
- Download URL: slangimage-0.0.1-py3-none-any.whl
- Upload date:
- Size: 1.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
413f70593c5efed821793447a3eec24d845ada3b405de505359e4f2310e5a36f
|
|
| MD5 |
632a9b6c3d359df3414c21dd6402be60
|
|
| BLAKE2b-256 |
d9272b319f773bde9b714ce9a159ce160b51eaf40fbeacc59f871825dc5ee685
|