Thanks to its comprehensive API, ZED cameras can be interfaced with multiple third-party libraries and environments.
|Shows how to capture image, depth and point cloud and convert them to OpenCV format.
|Provides access to ZED data through ROS topics and services.
GitHub (ROS 2)
|Uses ZED SDK and PyTorch to detect, segment, classify and locate objects in 3D.
|Uses ZED SDK and YOLO object detection to display the 3D location of objects and people in a scene.
|Shows how to run the ZED SDK in a Docker container.
|ZED Unity Plugin
|Provides access to ZED SDK features in Unity.
|ZED UE5 Plugin
|Provides access to ZED SDK features in Unreal Engine 5.
|Plugins to use the ZED and its SDK in a GStreamer pipeline.
|Enables the utilization of the ZED SDK within Matlab.
|Uses ZED SDK and OpenPose skeleton detection to display real-time multi-person 3D pose of human bodies.
|Shows how to use GPU memory to display camera images and depth using OpenGL.
|Shows how to track or relocalize the position of one or multiple cameras using an Aruco marker.
|Shows how to acquire and display a 3D point cloud with PCL (Point Cloud Library).
|OpenNI2 driver for the ZED stereo camera family.