[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

Build librealsense 2.0 library on the NVIDIA Jetson TX Development kit. Intel RealSense D400 series cameras.

Build librealsense 2.0 library on the NVIDIA Jetson AGX Xavier Developer Kit. Intel RealSense D400 series cameras.

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

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。

Using a Intel Realsense T265 to build an occupancy grid and autonomously navigate around using move_base

ROS2 Package for instance segmentation using the YoloV8 segmentation model and a Intel Realsense D435 camera

Real-time streaming (AWS kvs) & object detection & semantic segmentation using RealSense D435i on Jetson Nano

A modular software architecture for Automatic Plant Phenotyping

Intel RealSense Depth Camera D435i D455 D435 D415

How to set up ROS Noetic, Gazebo, MavROS, MavLink, PX4 Autopilot, and an Iris drone with a D435 camera.

2nd Assignment of Computer Vision by José Rosa and Ricardo Silva

Using Intel Realsense T265 and D435 to navigate UAV indoor

使用Realsense D435i实现机器人目标跟随

ROS Intel RealSense2 Project for ComputerVision/PoseEstimation using openCV and Intel RealSense D435i

Scripts to process VINS-Fusion with a RealSense D435i and create a new rosbag with images and odometry.

Docker based tools for deploying and benchmarking VIO algorithms using an Intel® RealSense™ D435i

Object detection and tracker utilising RealSense D435 Depth Camera on detecting features and object relation. Python is the main language utilised for this project and OpenCV as the main Computer Vision Framework.