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
Release files for sunds 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sunds-0.4.1.tar.gz | 2.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sunds-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 MB
Release files / sunds-0.4.1.tar.gz
| Download URL | sunds-0.4.1.tar.gz |
|---|---|
| Size | 2.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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
|
Release files / sunds-0.4.1-py3-none-any.whl
| Download URL | sunds-0.4.1-py3-none-any.whl |
|---|---|
| Size | 2.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cbd73b0a225bf9f811002b743b0c19c97ca98b4a269af41746892e7357085842
|
|
BLAKE2b-256 checksum How to use checksums |
67623be38383726caa7f5b89ba99118b22a87e55199fbfca7b17683a334442d2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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
|
