7. PCV plugin

PCV is a standard plugin of cloudComPy.

The availability of the plugin can be tested with the cloudComPy.isPluginPCV() function:

isPCV_available = cc.isPluginPCV()

PCV is a submodule of cloudCompy:

import cloudComPy as cc
# ...
if cc.isPluginPCV():
    import cloudComPy.PCV
    cc.PCV.computeShadeVIS(...)
cloudComPy.PCV.computeShadeVIS(clouds: list[_cloudComPy.ccHObject], cloudWithNormals: _cloudComPy.ccPointCloud = None, rayCount: int = 256, resolution: int = 1024, is360: bool = False, isClosedMesh: bool = False) → bool

Compute Ambient Occlusion for mesh or point cloud. (plugin PCV / ShadeVIS)

The ambient occlusion is either computed with normals samples on a sphere or upper Z hemisphere, or with normals provided with a cloud. Result on a ScalarField.

Parameters:

  • clouds (list) – list of clouds or meshes on witch to compute the ShadeVIS.

  • cloudWithNormals (ccpointCloud,optional) – cloud with normals, default None

  • rayCount (int,optional) – number of normals to use if sampled on a sphere or hemisphere, default 256.

  • resolution (int,optional) – render context resolution, default 1024

  • is360 (bool,optional) – use the whole sphere or not (default false)

  • isClosedMesh (bool,optional) – if the mesh is closed, accelerate the computation (default false)

Returns:

success

Return type:

bool

cloudComPy.PCV.initTrace_PCV() → None

Debug trace must be initialized for each Python module.

Done in module init, following the value of environment variable _CCTRACE_ (“ON” if debug traces wanted)