FIX: second adaptation of segmentation parameters

Author: DamienGilliard

tests/integration_tests/pybinds_tests/test_pybind_units.py

@@ -299,12 +299,12 @@ def test_DFPlaneSegmentation():
     vertices = [[0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0], [0, 1, -1], [0, 0, -1]]
     faces = [[0, 1, 2], [0, 2, 3], [0, 3, 4], [0, 4, 5]]
     mesh = dfb.dfb_geometry.DFMesh(vertices, faces, [], [], [])
-    pc = mesh.sample_points_uniformly(1000)
-    pc.estimate_normals(knn=50)
+    pc = mesh.sample_points_uniformly(5000)
+    pc.estimate_normals(knn=20)
 
     segments = dfb.dfb_segmentation.DFSegmentation.segment_by_normal(pc, 
-                                                                     normal_threshold_degree=10, 
-                                                                     min_cluster_size=200, 
+                                                                     normal_threshold_degree=5, 
+                                                                     min_cluster_size=1000, 
                                                                      knn_neighborhood_size=200)
 
     assert len(segments) == 2, "DFPlaneSegmentation should return 2 segments"
@@ -313,12 +313,12 @@ def test_DFPlaneSegmentation_disconnected_plans():
     vertices = [[0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0], [0, 1, -1], [0, 0, -1]]
     faces = [[0, 1, 2], [3, 4, 5]]
     mesh = dfb.dfb_geometry.DFMesh(vertices, faces, [], [], [])
-    pc = mesh.sample_points_uniformly(1000)
-    pc.estimate_normals(knn=50)
+    pc = mesh.sample_points_uniformly(5000)
+    pc.estimate_normals(knn=20)
 
     segments = dfb.dfb_segmentation.DFSegmentation.segment_by_normal(pc, 
-                                                                     normal_threshold_degree=10, 
-                                                                     min_cluster_size=200, 
+                                                                     normal_threshold_degree=5, 
+                                                                     min_cluster_size=1000, 
                                                                      knn_neighborhood_size=200)
 
     assert len(segments) == 2, "DFPlaneSegmentation should return 2 segments"