Skip to main content

Unnoficial Implementation for GNT (Generalizable NeRF Transformer | Varma et al) on NeRFStudio

Project description

nerfstudio-gnt

Unofficial GNT (Generalizable NeRF Transformer) integration for Nerfstudio.

Install

uv pip install -e .

Verify method registration

ns-train --help | grep -i gnt

Dataset format

This integration uses Nerfstudio's native VanillaDataManager with NerfstudioDataParserConfig. Point the dataparser to a scene root containing transforms.json.

Configure GNT

Use the gnt method and set datamanager options from CLI:

ns-train gnt --pipeline.datamanager.data-root /path/to/datasets
ns-train gnt \
  --output-dir /path/to/outputs \
  --vis tensorboard \
  --pipeline.datamanager.dataparser.data /path/to/scene_root

Smoke check

python test.py /path/to/scene_root/transforms.json

This runs one train step through GNTPipeline.get_train_loss_dict and checks source-view tensor shapes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nerfstudio_gnt-0.0.28.tar.gz (58.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nerfstudio_gnt-0.0.28-py3-none-any.whl (82.0 kB view details)

Uploaded Python 3

File details

Details for the file nerfstudio_gnt-0.0.28.tar.gz.

File metadata

  • Download URL: nerfstudio_gnt-0.0.28.tar.gz
  • Upload date:
  • Size: 58.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.25 {"installer":{"name":"uv","version":"0.11.25","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Arch Linux","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for nerfstudio_gnt-0.0.28.tar.gz
Algorithm Hash digest
SHA256 141345be8c0fdec4c352667658b7881cb0ff61ec5482fe51c678c982096d3a05
MD5 b34b953df6f85264fdd1ed86a2379b86
BLAKE2b-256 9bda76a27ec99effa6adbf313bf4fd8aa1841ca6bfdb5d54d348da0130964a99

See more details on using hashes here.

File details

Details for the file nerfstudio_gnt-0.0.28-py3-none-any.whl.

File metadata

  • Download URL: nerfstudio_gnt-0.0.28-py3-none-any.whl
  • Upload date:
  • Size: 82.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.25 {"installer":{"name":"uv","version":"0.11.25","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Arch Linux","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for nerfstudio_gnt-0.0.28-py3-none-any.whl
Algorithm Hash digest
SHA256 bc1e4d553e81b97d1077c009192da3a839dc085817a1ababe1f25c686dd8219f
MD5 725b1853fd37ba235e62ee3e0b2a5a39
BLAKE2b-256 82bfbd8e61a49bc656e56bc9bb87cdf3b2ed7e0d2319e01851ed8a6d89582efd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page