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🚀 Real-Time AI Stereo Vision Library #retinify #robotics

japan
Joined May 2024
Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)Photo by retinify (@retinify)
retinify retweeted
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.
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Real-Time Stereo Matching with retinify! 🚀 Try it on GitHub: github.com/retinify/retinify 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
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game changing
Real-Time Stereo Matching with retinify! 🚀 Try it on GitHub: github.com/retinify/retinify 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
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Real-Time Stereo Matching with retinify! 🚀 Try it on GitHub: github.com/retinify/retinify 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
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Today in WR: 🤖 table tennis robots teach each other, 🤖 a small humanoid from Unitree, 🤖 project Skyfall, 🤖🤖 two interesting robotic libraries, ... and more! weeklyrobotics.com/weekly-ro… #robotics #ros
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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.
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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. github.com/retinify/retinify
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retinify retweeted
Real-Time AI Stereo Vision Library Retinify is an advanced AI-powered stereo vision library designed for robotics. github.com/retinify/retinify
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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: github.com/retinify/retinify  #retinify #OpenSource #Robotics #OpenCV #ros2
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⚠️ This video shows inference results accelerated by NVIDIA TensorRT.
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retinify retweeted
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
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🚀 A $100 stereo camera + retinify. retinify is an open-source library that works with a variety of stereo inputs. 👉Source code: github.com/retinify/retinify  #retinify #OpenSource #AI #Robotics #3d #3dvision #OpenCV #ros2
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Flickering appears in the back left due to the LR consistency check, indicating low disparity reliability.
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🚀 Stereo camera system using retinify 👉Source code: github.com/retinify/retinify  #retinify #OpenSource #AI #Robotics #3d #3dvision #OpenCV #ros2
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🚀 Retinify is an open-source solution for real-time metric depth sensing, based on stereo matching. It runs on your own camera setup, with minimal cost. 👉Source code: github.com/retinify/retinify  #retinify #OpenSource #AI #Robotics #3d #3dvision
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🚀 Real-time Depth Sensing with retinify Open-source stereo matching system for any camera. Fast, affordable, and easy to integrate. 👉 Source code: github.com/retinify/retinify  #retinify  #OpenSource  #AI  #DepthSensing  #Robots  #Robotics #3d  #3dvision
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🚀 Introducing retinify – a real-time AI stereo vision library. Open source, works with various cameras. 👉Source code: github.com/retinify/retinify #retinify #AI #DepthSensing #Robots #Robotics #3d #3dvision
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[Real-Time Metric Depth] Build a real-time stereo matching pipeline with retinify. Works with any camera and integrates easily into robotics or advanced mobility systems. 👉 Learn more at retinify.ai ▼GitHub github.com/retinify ▼X teapawt.org/retinify ▼YouTube youtube.com/@retinify_ai ▼Instagram instagram.com/retinify #retinify #AI #DepthSensing #Robots #Robotics #3d #3dvision
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🚀 With retinify, you can build a highly accurate, real-time stereo matching pipeline that works with any camera setup. 👉 Learn more at github.com/retinify. #retinify #DepthSensing #Robots #Robotics #3d #3dvision
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