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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
I'd really want use Rust+OpenCV instead of Python+OpenCV to process a lot of images (xxxxxx pieces on a central NAS). I would want to do it by also splitting the work over multiple worker nodes for speed. Unfortunately, I've so far not had the time to figure this out... Meanwhile, a Rust API for Ray is being worked on! https://github.com/ray-project/ray/issues/20609
Rust bindings for OpenCV 3 & 4
I thought it was going to be unsafe because of how Mat is implemented (more information here). ... I tested it and it should be fine memory-wise. My thought was that the code below was going to be allowed to compile.
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Rust CV mono-repo. Contains pure-Rust dependencies which attempt to encapsulate the capability of OpenCV, OpenMVG, and vSLAM frameworks in a cohesive set of APIs.
This is a nice guide, but ultimately openCV should be rewritten in rust. It would avoid all of these headaches. Please checkout and support https://github.com/rust-cv/cv
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Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent
1 project | reddit.com/r/Python | 13 Jul 2022
ray-project/ray: An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
1 project | reddit.com/r/devopsish | 28 Jun 2022