GitHub / IGNF / StrataNet2-Vegetation-Coverage-Maps
Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
étoiles: 5
forks: 0
issues ouvertes: 0
licence: mit
langage: Python
taille: 99,9 Mo
dépendances analysées: En attente
date de création: il y a presque 4 ans
date de mise à jour: il y a 6 mois
enregistré: il y a environ 3 ans
dernière synchronisation: il y a 1 jour
Commit Stats
Commits: 298
Authors: 4
Mean commits per author: 74.5
Development Distribution Score: 0.225
More commit stats: https://commits.ecosystem.code.gouv.fr/hosts/GitHub/repositories/IGNF/StrataNet2-Vegetation-Coverage-Maps
Sujets: deep-learning, lidar, machine-learning, maps, pointcloud, pointnet2, pytorch, rasters, vegetation, weaksupervision