Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

PATCH: Fix unclustered_candidates_mask for building completion #66

Merged
merged 2 commits into from
Sep 16, 2022
Merged

PATCH: Fix unclustered_candidates_mask for building completion #66

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
8ab3aae
PATCH: Fix unclustered_candidates_mask for building completion
CharlesGaydon Sep 16, 2022
e22c10b
V1.7.1
CharlesGaydon Sep 16, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 0 additions & 6 deletions lidar_prod/tasks/building_validation.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -243,12 +243,6 @@ def update(self, src_las_path: str = None, target_las_path: str = None) -> None:
infos = self._extract_cluster_info_by_idx(las, pts_idx)
las[dim_clf][pts_idx] = decision_func(infos)

# Candidate that were not clustered get their "candidate flag" set back to 0 so that they are considered
# in building completion/identification steps.
unclustered_mask = cluster_id_dim == 0
unclustered_candidates_mask = candidates_mask & (unclustered_mask)
las[dim_flag][unclustered_candidates_mask] = 0

self.pipeline = pdal.Pipeline(arrays=[las])

if target_las_path:
Expand Down
2 changes: 1 addition & 1 deletion package_metadata.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
__version__: "1.7.0"
__version__: "1.7.1"
__name__: "lidar_prod"
__url__: "https://github.com/IGNF/lidar-prod-quality-control"
__description__: "A 3D semantic segmentation production tool to augment rules-based Lidar classification with AI and databases."
Expand Down