News for hackers. Stuff that matters.

A comment on Show HN: Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible. Parent comment

Re:Show HN: Real-Time YOLO Object Detection in Elixir: Fast,... by andy_ppp on Friday December 06, 2024 @02:57PM (#42343673)
It actually uses ultralytics version 8 (but that seems to be on version 11!) so it’s a bit behind but should have excellent performance still.

It mentions allowing you to use additionally trained model is an enhancement that is being worked on for the future!

Still, I think it’s fantastic that you can take a great model in python and make it available in the Elixir machine learning framework, allowing Elixir programs to integrate with this type of models at a low level without completely reinventing all the effort to train and build them in the first place!

[ Parent | on HN ]
Re:Show HN: Real-Time YOLO Object Detection in Elixir: Fast,... by alvises on Friday December 06, 2024 @03:10PM (#42343815)
Yeah, v11 has been released recently.

Totally agree about ONNX, without it I wouldn't probably even started making this library. However, something I want to try is to code the network with Nx/Axon, without using onnx. The main advantage I see moving from onnx to Axon is to take advantage of all the new cool stuff like Nx sharding: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update...

[ Parent | on HN ]