Very early stage, but here's NxEigen!
A new native Nx backend meant for lightweight memory footprints. This is an Arduino Uno Q with 300MB memory allocated *in total* (BEAM and Linux included)
https://t.co/ENPPI3WTKL
#MyElixirStatus
🚀 Just released YOLO v0.2.0 for Elixir!
Now with YOLOX support, custom-trained models, and faster postprocessing thanks to Nx.Defn.
Perfect for real-time object detection in Elixir.
https://t.co/6voKpWAjTv
#myelixirstatus
Give your Elixir apps vision! @alvisesus shows YOLO object detection integration into the BEAM - from custom training to real-time edge tracking at Code BEAM Europe 2025.
https://t.co/uS2jhO1W3b
Built a parking sensor for my impossibly tight garage 🚗
Problem: 4.7m car, 4.8m garage space 😅
Solution: ESP32 + ultrasonic sensor + LED strip that shows distance with colors
https://t.co/sDKjOIQTtV
#arduino#esp32#electronics
Fine-tuning YOLO models for custom object detection 🤖
See how to transform a generic 80-class detector into a specialized system and integrate it with Elixir applications. Applicable to sports analytics, manufacturing QC, and more!
https://t.co/UTrnVz3kF3
#myelixirstatus
@MortenMLund yes it is! You can fine-tune the ultralytics models and YoloX as well. At the moment the Elixir library doesn't support custom models, but it will very soon!
🚀 Just released a video tutorial on my Elixir YOLO library for real-time object detection! Check out what you can build with just a few lines of code 👇
#myelixirstatus
https://t.co/9jrHNGKPlT
Just thinking: Calling most "open source" LLMs (like LLaMA) feels off. Sharing weights & architecture without training data, hyperparams etc.. is like sharing a compiled binary & calling it open source. The training process is the real source. Without it, it’s just a black box.
5/ VisionOS Experiments
Exploring VisionOS by anchoring virtual objects to real-world items (like my car engine bay)
Post on reddit with full video: https://t.co/JwDfPjDVQo
It’s been a while! After focusing on ML and financial data full-time, I’m now consulting and lately I’ve been diving into:
- Video sharing with LiveView + FLAME
- YOLO object detection in Elixir
- Race car telemetry with Nerves
- VisionOS experiments
Here's a quick update👇
4/Race Car Telemetry with Nerves + wireless sensors
As a racing enthusiast, I’m building a telemetry hub with Nerves + ESP32 boards, to save real-time data of tire temps (thermal cameras), RPM, gear, oil temp (CAN-BUS), GPS + accelerometer.