Add Deviation to the list of protected LAS dims (#81)

* Add Deviation to the list of protected LAS dims

For terraScan Compatibility

* Bump to M11.1V1.9.3

* Fix typo in param name

Author: CharlesGaydon

configs/data_format/default.yaml

@@ -4,6 +4,7 @@ las_dimensions:
   classification: Classification  # las format
   terrascan_normal: Normal
   terrascan_distance: Distance
+  terrascan_deviation: Deviation
 
   # Extra dims
   # ATTENTION: If extra dimensions are added, you may want to add them in cleaning.in parameter as well.
@@ -67,6 +68,7 @@ cleaning:
       - "${data_format.las_dimensions.entropy}=float"
       - "${data_format.las_dimensions.terrascan_normal}=uint"
       - "${data_format.las_dimensions.terrascan_distance}=uint"
+      - "${data_format.las_dimensions.terrascan_deviation}=uint"
       # - "${data_format.las_dimensions.ai_vegetation_proba}=float"
       # - "${data_format.las_dimensions.ai_unclassified_proba}=float"
   output_building:
@@ -80,6 +82,7 @@ cleaning:
       - "${data_format.las_dimensions.ai_building_identified}=uint"
       - "${data_format.las_dimensions.terrascan_normal}=uint"
       - "${data_format.las_dimensions.terrascan_distance}=uint"
+      - "${data_format.las_dimensions.terrascan_deviation}=uint"
       # - "${data_format.las_dimensions.ai_vegetation_unclassified_groups}=uint"
   input_vegetation_unclassified:
     # Extra dims added for storing the result of the vegetation/unclassified detection.
@@ -93,4 +96,4 @@ cleaning:
     extra_dims:
       - "${data_format.las_dimensions.entropy}=float"
       - "${data_format.las_dimensions.ai_building_proba}=uint"
-      - "${data_format.las_dimensions.ai_vegetation_unclassified_groups}=uint"
+      - "${data_format.las_dimensions.ai_vegetation_unclassified_groups}=uint"

package_metadata.yaml

@@ -1,4 +1,4 @@
-__version__: "M11.1V1.9.2"
+__version__: "M11.1V1.9.3"
 __name__: "lidar_prod"
 __url__: "https://github.com/IGNF/lidar-prod-quality-control"
 __description__: "A 3D semantic segmentation production tool to augment rule- based Lidar classification with AI and databases."