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👀 Real-time stereo matching just got a glow-up with retinify

👀 Real-time stereo matching just got a glow-up with retinify! Features: ✅ Open Source ✅ Works with any stereo camera ✅ Real-time on NVIDIA Jetson Orin Nano With retinify, even budget-friendly OEM stereo cameras or a pair of regular ones can turn into super-precise AI stereo systems. 🎥✨ When retinify gets depth and distance data from the stereo camera, it creates a so-called point cloud—basically a 3D map of the scene (each point has X, Y, Z coordinates and sometimes color). Want to see this point cloud in action? Just use a special tool or library for 3D visualization! For this task, we’re using Rerun (rerundotio)—a slick platform with an easy C++ API that makes building 3D visualizations and analyzing algorithm results a breeze. 🌐🛠 🚀 Give it a spin on GitHub: https://github.com/retinify/retinify

👀 Real-time stereo matching just got a glow-up with retinify!

Features:

✅ Open Source

✅ Works with any stereo camera

✅ Real-time on NVIDIA Jetson Orin Nano

With retinify, even budget-friendly OEM stereo cameras or a pair of regular ones can turn into super-precise AI stereo systems. 🎥✨

When retinify gets depth and distance data from the stereo camera, it creates a so-called point cloud—basically a 3D map of the scene (each point has X, Y, Z coordinates and sometimes color).

Want to see this point cloud in action? Just use a special tool or library for 3D visualization! For this task, we’re using Rerun (rerundotio)—a slick platform with an easy C++ API that makes building 3D visualizations and analyzing algorithm results a breeze. 🌐🛠

🚀 Give it a spin on GitHub: https://github.com/retinify/retinify