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Control RealityScan for photogrammetry and convert 360 video into perspective frames.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RealityScan MCP" yet — see the docs or source repo.
Use RealityScan MCP to run the full pipeline on this photo set: align, generate a mesh, texture it, and export the final model.
A completed alignment, mesh, and texture workflow with an exported 3D model result.
Run the RealityScan workflow in headless mode, process the input assets, and export the model file at the end.
An automated reconstruction and export completed without opening a visible GUI.
Please preprocess this 360° equirectangular video into perspective frames for later RealityScan reconstruction.
A sequence of perspective frames suitable for downstream photogrammetry workflows.
Developers or technical teams can let AI control RealityScan steps such as alignment, meshing, texturing, and export to reduce manual work. It fits automated photogrammetry pipelines.
When a team needs a visible interface for inspection but also wants headless execution for some tasks, this tool supports both modes. It suits different production and processing stages.
When working with equirectangular or YouTube EAC 360° video, teams can first convert it into perspective frames before reconstruction. This is useful when extracting usable modeling inputs from panoramic footage.
It lets AI agents control the RealityScan photogrammetry pipeline, including alignment, meshing, texturing, and export. It also provides preprocessing to convert 360° video into perspective frames.
No. The provided description says it supports both headless execution and control through a visible GUI.
The description mentions preprocessing equirectangular content and YouTube EAC content into perspective frames. For more format details, see the source repository.
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