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Description
Overview
Currently, the --multi-cams\ flag is available but doesn't change the pipeline's core behavior. Each video file is still processed as a completely separate project with its own database and sparse reconstruction.
Desired Behavior
For a true multi-camera workflow, the pipeline should:
- Consolidate Inputs: Option to process all videos in a directory as part of a single COLMAP project.
- Shared Reconstruction: Use a single \database.db\ for all frames extracted from different videos.
- Camera Identification: Assign different Camera IDs to frames based on their source video file, allowing COLMAP to optimize each camera's intrinsics separately.
- Unified Output: Generate one sparse model and one \ ransforms.json\ that covers all viewpoints.
Use Cases
- Reconstructing a scene from multiple synchronized camera rigs.
- Combining wide-angle and close-up footage of the same environment.
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