GitHub / IGNF / myria3d
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
JSON API: https://repos.data.code.gouv.fr/api/v1/hosts/GitHub/repositories/IGNF%2Fmyria3d
étoiles: 236
forks: 30
issues ouvertes: 17
licence: bsd-3-clause
langage: Python
taille: 69,3 Mo
dépendances analysées:
15
date de création: il y a plus de 3 ans
date de mise à jour: il y a 7 jours
enregistré: il y a 22 jours
dernière synchronisation: il y a 7 jours
Sujets: deep-learning, geodata, lidar-point-cloud, pointnet, pytorch, randla-net, semantic-segmentation
.github/workflows/cicd.yaml
actions
- actions/checkout v4 composite
- mamba-org/setup-micromamba v1.4.3 composite
- pypa/gh-action-pypi-publish v1.8.14 composite
.github/workflows/gh-pages.yml
actions
- JamesIves/github-pages-deploy-action v4 composite
- actions/cache v3 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v4 composite
Dockerfile
docker
- mambaorg/micromamba focal-cuda-11.3.1 build
environment.yml
pypi
- hydra-colorlog ==1.1.
- hydra-core ==1.1.
- ign-pdal-tools >=1.5.2
- myst_parser ==0.17.
- sphinx_paramlinks ==0.5.
- sphinxnotes-mock ==1.0.0b0
pyproject.toml
pypi