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 UE5 Plugin Provides access to ZED SDK features in Unreal Engine 5. GitHub ZED UE4 Plugin Provides access to ZED SDK features in Unreal Engine 4. 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 ZED OpenNI2 OpenNI2 driver for the ZED stereo camera family. GitHub