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