Will they score? Follow along with this on-board recording of the @dutchnaoteam during the World Humanoid Robot Games.
Rerun is a proud sponsor of the team.
Real-Time Stereo Matching with retinify!
🚀 Try it on GitHub: https://t.co/vkXwBOpd32
Features:
✅ Open Source
✅ Works with any stereo camera
✅ Real-time performance on NVIDIA Jetson Orin Nano
With retinify, even inexpensive OEM stereo cameras—or a pair of mono cameras—can become high-precision AI stereo cameras!
We are visualizing point clouds using @rerundotio ! The C++ API of Rerun is very easy to use, making development much more efficient!
#retinify
#OpenSource
#Robotics
#OpenCV
#StereoVision
#DepthSensing
#ROS2
@91Oraora We’re not limiting the transparent objects to any specific type. Depending on the use case, we plan to extend training as needed. One practical approach we’re considering is to incorporate a transformer-based refiner for improved handling of transparency.
Real-Time Stereo Matching with retinify!
🚀 Try it on GitHub: https://t.co/vkXwBOpd32
Features:
✅ Open Source
✅ Works with any stereo camera
✅ Real-time performance on NVIDIA Jetson Orin Nano
With retinify, even inexpensive OEM stereo cameras—or a pair of mono cameras—can become high-precision AI stereo cameras!
We are visualizing point clouds using @rerundotio ! The C++ API of Rerun is very easy to use, making development much more efficient!
#retinify
#OpenSource
#Robotics
#OpenCV
#StereoVision
#DepthSensing
#ROS2
@91Oraora Currently, transparent textures are not supported. However, we believe that with additional training the model could be extended to handle transparent objects, and we’re planning how to approach this in future updates.
Today in WR:
🤖 table tennis robots teach each other,
🤖 a small humanoid from Unitree,
🤖 project Skyfall,
🤖🤖 two interesting robotic libraries,
... and more!
https://t.co/27P30HRzli
#robotics#ros
Here’s why I love the saying: every visual navigation engineer must also be a sensor engineer.
Same view, different results. Frame t had great depth—then the next frame? Terrible.
Network failure? Nope. Just Realsense’s default 20ms exposure 🤯 — way too high for SLAM.
@UniflexAI Thank you for trying it out!
We find balancing speed and accuracy quite challenging.
We’ve measured latency as well — please see the README for details.
https://t.co/GhQ3jO4T7K
Retinify is an advanced AI-powered stereo vision library designed for robotics. It enables real-time, high-precision 3D perception by leveraging GPU and NPU acceleration.
Its C++ API allows the same code to run seamlessly across various acceleration backends.
https://t.co/XxJckfnKc4
This 3D point cloud was generated from depth maps estimated by Retinify.
Retinify is working to leverage AI accelerators like @Hailo_ai for affordable, accurate depth sensing solutions.
👉Source code: https://t.co/GhQ3jO4T7K
#retinify#OpenSource#Robotics#OpenCV#ros2
Rerun 0.24 is out! 🥳 This is a big one!
Highlights:
🏷️ Tagged components: Log the same component type to the same entity without overwriting
🎥 Video Streams: live stream encoded video to the viewer
😎 Light Mode: It's finally here!
🤖 Built-in URDF Loader: `rr.log_file()` visualizes URDF files