GitHub / IGNF / StrataNet2-Vegetation-Coverage-Maps
Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
Stars: 5
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 99.9 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: 6 months ago
Pushed at: about 3 years ago
Last synced at: 1 day ago
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
Topics: deep-learning, lidar, machine-learning, maps, pointcloud, pointnet2, pytorch, rasters, vegetation, weaksupervision