Integrations

Thanks to its comprehensive API, ZED cameras can be interfaced with multiple third-party libraries and environments.

Integration Description Links
ZED OpenCV Shows how to capture image, depth and point cloud and convert them to OpenCV format. GitHub
ZED ROS Provides access to ZED data through ROS topics and services. GitHub (ROS)
GitHub (ROS2)
ZED PyTorch Uses ZED SDK and PyTorch to detect, segment, classify and locate objects in 3D. GitHub
ZED TensorFlow Uses ZED SDK and TensorFlow to detect, classify and locate objects in 3D. GitHub
ZED Yolo Uses ZED SDK and YOLO object detection to display the 3D location of objects and people in a scene. GitHub
ZED Docker Shows how to run the ZED SDK in a Docker container. GitHub DockerHub
ZED Unity Plugin Provides access to ZED SDK features in Unity. GitHub
ZED Unreal Plugin Provides access to ZED SDK features in UE4. GitHub
ZED GStreamer Plugins to use the ZED and its SDK in a GStreamer pipeline. GitHub
ZED Matlab Allows to use the ZED and its SDK in Matlab. GitHub
ZED OpenPose Uses ZED SDK and OpenPose skeleton detection to display real-time multi-person 3D pose of human bodies. GitHub
CUDA Interoperability Creates an out-of-focus (bokeh) effect on the camera stream using the depth and a CUDA kernel. GitHub
ZED OpenGL Shows how to use GPU memory to display camera images and depth using OpenGL. GitHub
ZED Aruco Shows how to track or relocalize the position of one or multiple cameras using an Aruco marker. GitHub
ZED PCL Shows how to acquire and display a 3D point cloud with PCL (Point Cloud Library). GitHub