Scene understanding datasets
SunDs is a collection of ready-to-use datasets for scene understanding tasks (3d object detection, semantic segmentation, nerf rendering,...). It provides:
- An API to easily load datasets to feed into your ML models.
- A collection of ready-to-use datasets.
- Helper tools to create new datasets.
import sunds
ds = sunds.load('nerf_synthetic/lego', split='train', task=sunds.task.Nerf())
for ex in ds:
ex['ray_origin']
To use sunds, see the documentation:
This is not an official Google product.
2 maintainers
Metadata
2 maintainers
Release files for sunds 0.4.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sunds-0.4.1.tar.gz | 2.4 MB | Without provenance | Details for sunds-0.4.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sunds-0.4.1-py3-none-any.whl | Python 3 | none | any | Details for sunds-0.4.1-py3-none-any.whl |
Total release size: 4.8 MB
Release files / sunds-0.4.1.tar.gz
| Download URL | sunds-0.4.1.tar.gz |
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| Size | 2.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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|
Release files / sunds-0.4.1-py3-none-any.whl
| Download URL | sunds-0.4.1-py3-none-any.whl |
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| Size | 2.4 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
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Security for sunds 0.4.1
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