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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sunds-0.4.1.tar.gz
(2.4 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
sunds-0.4.1-py3-none-any.whl
(2.4 MB
view details)
File details
Details for the file sunds-0.4.1.tar.gz.
File metadata
- Download URL: sunds-0.4.1.tar.gz
- Upload date:
- Size: 2.4 MB
- Tags: Source
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0f9f03d40354ea2d1caea3e7ed37b4adfe8c1e77ac2c792d31771df95fb92db3
|
|
| MD5 |
7408e1c79e0fdd29f61a89ddb2e6ecc0
|
|
| BLAKE2b-256 |
5b4406203f7b240dab8372db377488c52f256074e867ff1de60f6b7ac0064d4a
|
File details
Details for the file sunds-0.4.1-py3-none-any.whl.
File metadata
- Download URL: sunds-0.4.1-py3-none-any.whl
- Upload date:
- Size: 2.4 MB
- Tags: Python 3
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cbd73b0a225bf9f811002b743b0c19c97ca98b4a269af41746892e7357085842
|
|
| MD5 |
824896a80816cf29d5b48504b777dc44
|
|
| BLAKE2b-256 |
67623be38383726caa7f5b89ba99118b22a87e55199fbfca7b17683a334442d2
|