{"repo":"kornia/kornia-rs","free":true,"listed":false,"github":"https://github.com/kornia/kornia-rs","clone":"git clone https://github.com/kornia/kornia-rs.git","description":"🦀 Low-level 3D Computer Vision library in Rust","language":"Rust","stars":694,"topics":["computer-vision","deep-learning","image-processing","machine-learning","pyo3","python","robotics","rust"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"kornia-rs: low level computer vision library in Rust English 简体中文 The kornia crate is a low-level computer vision library for Rust 🦀 Fast, thread-safe image I/O and processing with a single API that runs on the CPU or an NVIDIA GPU — the same Image and operators dispatch on where the data lives. It hands results to PyTorch and TensorRT with no host copy (DLPack, CUDA Array Interface), and fuses a camera frame into a normalized model input in one CUDA kernel — built for real-time pipelines. 📚 Table of Contents - Getting Started - Features - Installation - Examples - Python Usage - GPU / CUDA - Development - Contributing - Citation Getting Started Quick Example The following example demonstrates how to read and display image information: Features - 🦀 Written in Rust: memory- and thread-safe, no GIL — usable from the free-threaded Python build. - ⚡ Fast image I/O and processing: libjpeg-turbo decoding and SIMD (NEON/AVX2) kernels. - 🎯 One API, CPU or GPU: the same Image and operators dispatch on residency — no separate GPU types. - 🔌 Zero-copy ML interop: DLPack and cuda array interface to and from PyTorch, plus numpy views. - 🎥 Real-time ready: V4L2 camera capture and a fused NV12/YUYV → normalized CHW CUDA kernel for inference. - 🐍 Python bindings via PyO3/Maturin, packaged for Linux (amd64/arm64, incl. Jetson), macOS and Windows; the same wheel is CPU-only or activates CUDA when an NVIDIA GPU is present. - Supported Python versions are 3.8 through 3.14, including the f","default_branch":null,"files":null,"tree":[],"storefront":"/r/kornia","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kornia/kornia-rs/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}