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Add link to GLOMAP example. (#7097)
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examples/manifest.toml

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"kiss-icp",
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"differentiable_blocks_world",
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"stereo_vision_slam",
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"glomap",
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"signed_distance_fields",
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"raw_mesh",
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]

examples/python/glomap/README.md

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<!--[metadata]
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title = "GLOMAP"
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tags = ["3D", "Point cloud", "GLOMAP"]
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source = "https://github.com/rerun-io/glomap"
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thumbnail = "https://static.rerun.io/glomap-thumbnail/d0052fe6083b1e1d5698792ed0efec4d9cfd2f75/480w.png"
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thumbnail_dimensions = [480, 342]
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-->
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https://vimeo.com/995792438?loop=1&autopause=0&background=1&muted=1&ratio=2802:1790
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## Background
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GLOMAP is a general purpose global structure-from-motion pipeline for image-based sparse reconstruction. As compared to COLMAP it provides a much more efficient and scalable reconstruction process, typically 1-2 orders of magnitude faster, with on-par or superior reconstruction quality. In the video we see it's global positioning step where it performs a joint global triangulation and camera position estimation starting from a randomly initialized state.
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## Run the code
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This is an external example. Check the [repository](https://github.com/rerun-io/glomap) for more information on how to run the code.

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