This project involves using Intel Realsense to capture RGB images, depth images, and pseudo colored depth images, and is suitable for creating custom datasets for algorithms such as object detection, instance segmentation, and semantic segmentation.
Remote system in python to extract the respiratory rate from depth videos recorded with the D435 Intel RealSense Depth Camera. Evaluation of recorded data against ground truth data included.
Prebuilt pyrealsense2 packages for mac.
Python code to evaluate Intel RealSense T265 tracking camera.
Record realsense stream with python
RealSense D400 series utilities
Intel RealSense D400 Series Stereo Camera on Python
ROS2 package of hms robot development platform (beta)
File converter extension for Intel's pyrealsense library
Rain simulator 🌧️ developed by UNI LJ Faculty of electrical engineering and Faculty of civil and geodetic engineering
A tool for automatically segmenting videos based on depth data. Used for region-of-interest segmentation and selection for videos of neonatal patients in the NICU. Developed as part of a project by the Carleton University - Biomedical Informatics Co-laboratory (CU-BIC).
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