Simple triangulation

Simple triangulation

• Python API v2

  from meshlib import mrmeshpy as mm
  from meshlib import mrmeshnumpy as mn
  import numpy as np
   
  u, v = np.mgrid[0:2 * np.pi:100j, 0:np.pi:100j]
  x = np.cos(u) * np.sin(v)
  y = np.sin(u) * np.sin(v)
  z = np.cos(v)
   
  # Prepare for MeshLib PointCloud
  verts = np.stack((x.flatten(), y.flatten(), z.flatten()), axis=-1).reshape(-1, 3)
  # Create MeshLib PointCloud from np ndarray
  pc = mn.pointCloudFromPoints(verts)
  # Remove duplicate points
  pc.validPoints = mm.pointUniformSampling(pc, 1e-3)
  pc.invalidateCaches()
   
  # Triangulate it
  triangulated_pc = mm.triangulatePointCloud(pc)
   
  # Fix possible issues
  triangulated_pc = mm.offsetMesh(triangulated_pc, 0.0)

• Python API v3

  Note

  Python API version 3 and later

  from meshlib import mrmeshpy as mm
  from meshlib import mrmeshnumpy as mn
  import numpy as np
   
  u, v = np.mgrid[0:2 * np.pi:100j, 0:np.pi:100j]
  x = np.cos(u) * np.sin(v)
  y = np.sin(u) * np.sin(v)
  z = np.cos(v)
   
  # Prepare for MeshLib PointCloud
  verts = np.stack((x.flatten(), y.flatten(), z.flatten()), axis=-1).reshape(-1, 3)
  # Create MeshLib PointCloud from np ndarray
  pc = mn.pointCloudFromPoints(verts)
  # Remove duplicate points
  samplingSettings = mm.UniformSamplingSettings()
  samplingSettings.distance = 1e-3
  pc.validPoints = mm.pointUniformSampling(pc, samplingSettings)
  pc.invalidateCaches()
   
  # Triangulate it
  triangulated_pc = mm.triangulatePointCloud(pc)
   
  # Fix possible issues
  offsetParams = mm.OffsetParameters()
  offsetParams.voxelSize = mm.suggestVoxelSize( triangulated_pc, 5e6 )
  triangulated_pc = mm.offsetMesh(triangulated_pc, 0.0, params=offsetParams)