GitHub / IGNF / lidar-prod
A production AI brick that augments a rule-based Lidar classification with AI predictions and vector database.
JSON API: https://repos.data.code.gouv.fr/api/v1/hosts/GitHub/repositories/IGNF%2Flidar-prod
étoiles: 18
forks: 2
issues ouvertes: 3
licence: bsd-3-clause
langage: Python
taille: 42,6 Mo
dépendances analysées:
15
date de création: il y a presque 4 ans
date de mise à jour: il y a 4 jours
enregistré: il y a environ un an
dernière synchronisation: il y a 1 jour
Sujets: artificial-intelligence-systems, classification, lidar, pdal, production, semantic-segmentation
environment.yml
pypi
- hydra-colorlog ==1.1.
- hydra-core ==1.1.
- ign-pdal-tools >=1.5.2
- myst_parser ==2.0.
- optuna ==2.10.
- sphinx-argparse ==0.4.
- sphinx_paramlinks ==0.6.
- sphinxcontrib-mermaid ==0.9.
- sphinxnotes-mock ==1.0.
pyproject.toml
pypi
.github/workflows/cicd.yaml
actions
- actions/checkout v4 composite
.github/workflows/gh-pages.yaml
actions
- JamesIves/github-pages-deploy-action 3.7.1 composite
- actions/checkout v4 composite
- mamba-org/setup-micromamba v1.4.3 composite
Dockerfile
docker
- mambaorg/micromamba bookworm-slim build
- actions/checkout v4 composite