kornia-rs 0.1.10_1
graphics/py-kornia-rs
Differentiable computer vision library for PyTorch
Description
Kornia-rs is a low-level computer vision library written in Rust, designed to provide efficient image I/O and processing primitives for machine learning and data science. Its Python bindings allow users to leverage Rust's speed and memory safety directly within Python workflows. Features: - High-performance multi-threaded image decoding (JPEG, PNG). - Zero-copy integration with NumPy and PyTorch via DLPack. - SIMD acceleration for operations like resizing and color conversions. - Thread-safe design for use in multi-threaded data loading pipelines.
Dependencies
- build devel/cmake-core
- build devel/nasm
- build devel/pkgconf
- build devel/py-build
- build devel/py-installer
- build devel/py-maturin
- build lang/python311
- build lang/rust
- run lang/python311
Commit History
may be incomplete — full history at freebsd-ports on GitHub
| Commit | Credits | Log message |
|---|---|---|
|
0.1.10
43f5b4a72f
files touched
|
Mikael Urankar (mikael) |
lang/rust: Bump revisions after 1.94.0
PR: 293615 |
|
0.1.10
1371441326
files touched
|
Yuri Victorovich (yuri) |
graphics/py-kornia-rs: New port: Differentiable computer vision library for PyTorch
|