realsense

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Spectacular AI SDK (open source parts and public releases)

No-ROS Python stack for Franka Research 3 control, teleoperation, trajectory planning, IK, RealSense, and LeRobot data collection.

Non-contact real-time heartbeats and respiration monitoring using Artificial Light Texture (ALT).

Aruco Pose Detection and Estimation with ROS2, using RGB and Depth camera images from Realsense D435

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

Markerless volumetric alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment" (IEEE VR 2020).

土炮智能機器手視覺系統，結合Intel OpenVINO NCS, RealSense D435完成採收小蕃茄直交式機器手臂視覺系統概念機。

[DEMO] links Intel RealSense T265 (tracking-camera) & Intel RealSense D435i (depth-camera) via roboter-operating-system (ROS) for generating a trackable point-cloud image dataset in the "real world"

A simple pose detector which runs with the realsense framework.

SJTU-CS386 Project, CV gesture recognition with Realsense.

This repo provides a practical usage and anaylysis for the fiducial marker systems AprilTag, ArUco, ChAruCo, STag and TopoTag.

This repository helps you extract useful information from Openpose node publisher via comparing position of body nodes and estimate the gesture which user poses

Extrinsics Calibration Real Sense Depth Camera Array

Step by step instructions for installing librealsense on a Raspberry Pi 4

High-performance, low-cost bimanual platform: 3D-printed, Jetson Orin-powered, and ready for edge-AI and full autonomy.

Send RGB-D images over spout / syphon / NDI with visiongraph.

Toolkit for fast SGRT application development

Supervised Go2-W + PiPER mobile manipulation with RGB-D visual servoing and grasp planning.

A people counter which uses python3 and a realsense camera to count people.