wehub-resource-sync
24 lines
1.3 KiB
Markdown
24 lines
1.3 KiB
Markdown
<!--[metadata]
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title = "Objectron"
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tags = ["2D", "3D", "Object detection", "Pinhole camera"]
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thumbnail = "https://static.rerun.io/objectron/b645ef3c8eff33fbeaefa6d37e0f9711be15b202/480w.png"
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thumbnail_dimensions = [480, 480]
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build_args = ["--frames=100"]
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-->
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Example of using the Rerun SDK to log the [Objectron](https://github.com/google-research-datasets/Objectron) dataset.
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<picture>
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<source media="(max-width: 480px)" srcset="https://static.rerun.io/objectron/8ea3a37e6b4af2e06f8e2ea5e70c1951af67fea8/480w.png">
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<source media="(max-width: 768px)" srcset="https://static.rerun.io/objectron/8ea3a37e6b4af2e06f8e2ea5e70c1951af67fea8/768w.png">
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<source media="(max-width: 1024px)" srcset="https://static.rerun.io/objectron/8ea3a37e6b4af2e06f8e2ea5e70c1951af67fea8/1024w.png">
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<source media="(max-width: 1200px)" srcset="https://static.rerun.io/objectron/8ea3a37e6b4af2e06f8e2ea5e70c1951af67fea8/1200w.png">
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<img src="https://static.rerun.io/objectron/8ea3a37e6b4af2e06f8e2ea5e70c1951af67fea8/full.png" alt="Objectron example screenshot">
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</picture>
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> The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment.
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```bash
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cargo run --release
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```
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