The kornia crate is a low level library for Computer Vision written in Rust. Use the library to perform image I/O, visualization and other low level operations in your machine learning and data-science projects in a thread-safe and efficient way.
The kornia crate is a low level library for Computer Vision written in Rust. Use the library to perform image I/O, visualization and other low level operations in your machine learning and data-science projects in a thread-safe and efficient way.
To install py313-kornia-rs, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py313-kornia-rs
To see what files were installed by py313-kornia-rs, run:
port contents py313-kornia-rs
To later upgrade py313-kornia-rs, run:
sudo port selfupdate && sudo port upgrade py313-kornia-rs
Reporting an issue on MacPorts Trac
The MacPorts Project uses a system called Trac to file tickets to report bugs and enhancement requests.
Though anyone may search Trac for tickets, you must have a GitHub account in order to login to Trac to create tickets.