Metron project tackles use case of measurement of objects. It is a great platform to test various computer vision approaches or as well to be used for commercial Proof of Concepts.

⚠️ Attention ❗ 🙌 ❗

Switch into Metron dev branch to see the latest commits.

💥 efficient input video source streaming engine 💥 various input video sources - video files, camera device 💥 fully configurable using Facebook Research - Hydra framework 💥 run on a bare metal or using Docker Compose 💥 deployable on Linux, MacOS, Windows

1. Project Installation
2. Architecture
3. Development Notes

⚠️ Attention ❗ 🙌 ❗

During roadmap timeline gaps, the work is conducted on Metron AI research track. Take a look on Peer Repositories links section.

• setup Metron Shine component SW skeleton
• add message broker component (Redis)
• testing of the message broker component
• document message broker component
• setup Metron Shine configuration
• implement Video Receiver module
• implement Results Renderer module
• implement Results Streamer module
• testing of Metron Shine
• develop Metron Shine demo app
• dockerize Metron Shine
• documentation of Metron Shine

• software architecture
• setup Metron Conduit software skeleton
• add video file source option to Metron Conduit
• add usb cam source option to Metron Conduit
• complete basic Video Streamer functionality of Metron Conduit
• dockerize Metron Conduit
• setup Docker Compose deployment skeleton
• add Hydra configuration framework
• camera stream input module
• camera stream calibration

• Artificial Data Generator (ArDaGen)