Skip to main content

3D Scene Graph Models

Project description

VLSAT

conda create -n py38 python=3.8

cuda >= 11.3

pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113

pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.12.1+cu113.html pip install torch-sparse -f https://pytorch-geometric.com/whl/torch-1.12.1+cu113.html pip install torch-spline-conv -f https://pytorch-geometric.com/whl/torch-1.12.1+cu113.html pip install torch-geometric

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

scene_graph_predictor_pc-0.1.0-py3-none-any.whl (33.3 kB view details)

Uploaded Python 3

File details

Details for the file scene_graph_predictor_pc-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for scene_graph_predictor_pc-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 435f86478cbccec1643ab2afdd27974836be8807905bf364b71e35716c0c65c3
MD5 4534bef711e8f03a9cd4254c87c7c8c9
BLAKE2b-256 24d676bf0ee291dc18183cc503217e1a4fbb5e113ffb625eb6d359c7b402dd9c

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