YOLOrs 🚧

YOLO v8 CLI implementation using Candle.

Description

YOLOrs is a CLI tool for image classification, pose estimation or (in the future) image segmentation. Uses ultralytics implementation (v8) of the YOLO (You Only Look Once) algorithms family.

YOLOrs is written in Rust, using HuggingFace's Candle library. Is Fast, Light, Secure and reliable.

Installation

🚧 For the moment, you have to clone this repo:

 git clone https://github.com/martin-conur/yolors.git

and (with Rust and Cargo installed) run one of the examples below eg.

cargo run --release demo_images/people.jpg 

Example

You can ask for classification:

cargo run --release demo_images/people.jpg    

or Pose estimation:

cargo run --release --  --task "pose" demo_images/running1.jpg

features:

• blazingly fast
• easy to use
• Secure
• Reliable
• Written in Rust 🤘

TODO:

• Add CI github workflow
• Add JSON output capabilities
• Add cargo tests
• Cross compilation and distribution
• Add segmentation
• Add video capabilities