A multi-sensor capture system for free viewpoint video.
-
Updated
Dec 3, 2021 - Python
A multi-sensor capture system for free viewpoint video.
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
Build and install Intel's librealsense for the NVIDIA Jetson Nano Developer Kit
Intel RealSense 2 support for the Processing framework.
Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.
Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN
Non-contact real-time heartbeats and respiration monitoring using Artificial Light Texture (ALT).
Markerless volumetric alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment" (IEEE VR 2020).
YOLOv7 segmentation pytorch implementation guide
Visualize 3d humans' skeletons(body+hands) in ros rviz. The 2d joints are detected by openpose; The depth is from depth image.
We released a toolbox for automatic hand-eye calibration between Intel Realsense camera and Universal Robot 5 based on easy hand-eye calibration
Aruco Pose Detection and Estimation with ROS2, using RGB and Depth camera images from Realsense D435
Official Repo of "Ramiro's Lab" YouTube Channel with show notes and extra documentation.
A Docker image equipped with ORB-SLAM 3 and ready for dev. No more GPU, dependencies and build problems !
Realsense d435 stereo depth camera
FaceID for Linux 🌋🔒🪞 PAM module for Intel RealSense devices
Simulated Realsense L515 sensor in Gazebo and RViz
Multiview Photometric Stereo (MVPS) Studio Hardware and Software for 3D Reconstruction
You can use this repo to detect object with Intel realsense camera and measure the distance of this object.
Demo Applications for Spatial AI Webinar
Add a description, image, and links to the realsense-camera topic page so that developers can more easily learn about it.
To associate your repository with the realsense-camera topic, visit your repo's landing page and select "manage topics."