Template¶
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Quick Links
Paper |
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Download |
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Code |
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License |
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Available splits |
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Available Modalities¶
Name |
Available |
Description |
|---|---|---|
Ego Vehicle |
✓ / (✓) / X |
…, see |
Map |
✓ / (✓) / X |
…, see |
Bounding Boxes |
✓ / (✓) / X |
…, see |
Traffic Lights |
✓ / (✓) / X |
…, see |
Pinhole Cameras |
✓ / (✓) / X |
…, see |
Fisheye Cameras |
✓ / (✓) / X |
…, see |
LiDARs |
✓ / (✓) / X |
…, see |
Download¶
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The 123D conversion expects the following directory structure:
Installation¶
For Template, additional installation that are included as optional dependencies in py123d are required. You can install them via:
pip install py123d[template]
Or if you are installing from source:
pip install -e .[template]
Dataset Specific¶
Box Detection Labels
- class py123d.conversion.registry.DefaultBoxDetectionLabel[source]¶
Default box detection labels used in 123D. Common labels across datasets.
- EGO = 0¶
- VEHICLE = 1¶
- TRAIN = 2¶
- BICYCLE = 3¶
- PERSON = 4¶
- ANIMAL = 5¶
- TRAFFIC_SIGN = 6¶
- TRAFFIC_CONE = 7¶
- TRAFFIC_LIGHT = 8¶
- BARRIER = 9¶
- GENERIC_OBJECT = 10¶
Dataset Issues¶
[Document any known issues, limitations, or considerations when using this dataset]
Issue 1: Description
Issue 2: Description
Issue 3: Description
Citation¶
If you use Template in your research, please cite:
@article{AuthorYearConference,
title={Template: Some Dataset for Autonomous Driving},
author={},
booktitle={},
year={}
}