Stars
Mosaico is the open-source data platform for Robotics and Physical AI
One-command RTSP streaming setup for Raspberry Pi 3B+, Pi 4, and Pi 5. USB webcam → H.264 RTSP stream with auto-recovery, systemd supervision, and full rollback support.
MonsterMQ is a MQTT broker built on Vert.X and Hazelcast with data persistence through PostgreSQL or CrateDB or MongoDB..
ROS 2 integration of Meta’s DINOv3 backbone with lightweight heads for vision tasks.
Build computer vision models in a fraction of the time and with less data.
Cosmos-Transfer1-DiffusionRenderer: High-quality video de-lighting and re-lighting based on Cosmos video diffusion framework
Run Computer Vision AI models with simple Python API and using OpenVINO Runtime
Docker compose repo with MQTT, Telegraf, InfluxDB and Grafana.
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
Run your AI and CV algorithms in meetings such as Zoom, Meets or Teams! 🚀
Python package to enable control of the Andersen A2 EV charger
Software Development Kit (SDK) for the Geti™ platform for Computer Vision AI model training.
⚡ A very fast, simple, and general inter-process communication example between Unity3D C# and Python, using ZeroMQ
Sample connecting to aiortc using WebRTC for Unity
WebRTC and ORTC implementation for Python using asyncio
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
Unofficial GoPro API Library for Python - connect to GoPro via WiFi.
Unofficial GoPro WiFi API Documentation - HTTP GET requests for commands, status, livestreaming and media query.
Dataset containing IR, visible and audio data to be used to train drone detection systems.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
This tutorial series covers how to create a plugin that leverages the OpenVINO™ Toolkit for the Unity game engine.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
📚 Jupyter notebook tutorials for OpenVINO™