Software Stack
DepthAI
  • DepthAI Components
    • AprilTags
    • Benchmark
    • Camera
    • DetectionNetwork
    • EdgeDetector
    • Events
    • FeatureTracker
    • HostNodes
    • ImageAlign
    • ImageManip
    • IMU
    • Misc
    • Modelzoo
    • NeuralNetwork
    • RecordReplay
    • RGBD
    • Script
    • SpatialDetectionNetwork
    • SpatialLocationCalculator
    • StereoDepth
    • Sync
    • SystemLogger
    • VideoEncoder
    • Visualizer
    • Warp
    • RVC2-specific
  • Advanced Tutorials
  • API Reference
  • Tools

ON THIS PAGE

  • RGBD Point Cloud Visualization
  • Demo
  • Setup
  • Pipeline
  • Source code with DepthAI Viewer in the loop
  • Source code with Open3D in the loop
  • Source code with Rerun in the loop

RGBD Point Cloud Visualization

This example demonstrates how to use the RGBD node to generate RGB-D data and visualize it as a 3D point cloud. The core pipeline remains the same, while visualization can be done in one of three interchangeable ways:
  • Rerun
  • Open3D
  • OAK Visualizer - Native viewer bundled with DepthAI
The only difference between these modes is in how the RGBD and point cloud output is displayed. You can switch the visualizer in the code as needed.

Demo

Setup

This example requires the DepthAI v3 API, see installation instructions.

Pipeline

Source code with DepthAI Viewer in the loop

Python
C++

Source code with Open3D in the loop

Python

Source code with Rerun in the loop

Python
C++

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