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"""
Accessing Evaluated Geometry
++++++++++++++++++++++++++++
"""
import bpy
# The GeometrySet can only be retrieved from an evaluated object. So one always
# needs a depsgraph that has evaluated the object.
depsgraph = bpy.context.view_layer.depsgraph
ob = bpy.context.active_object
ob_eval = depsgraph.id_eval_get(ob)
# Get the final evaluated geometry of an object.
geometry = ob_eval.evaluated_geometry()
# Print basic information like the number of elements.
print(geometry)
# A geometry set may have a name. It can be set with the Set Geometry Name node.
print(geometry.name)
# Access "realized" geometry components.
print(geometry.mesh)
print(geometry.pointcloud)
print(geometry.curves)
print(geometry.volume)
print(geometry.grease_pencil)
# Access the mesh without final subdivision applied.
print(geometry.mesh_base)
# Accessing instances is a bit more tricky, because there is no specific
# mechanism to expose instances. Instead, two accessors are provided which
# are easy to keep working in the future even if we get a proper Instances type.
# This is a pointcloud that provides access to all the instance attributes.
# There is a point per instances. May return None if there is no instances data.
instances_pointcloud = geometry.instances_pointcloud()
if instances_pointcloud is not None:
# This is a list containing the data that is instanced. The list may contain
# None, objects, collections or other GeometrySets. If the geometry does not
# have instances, the list is empty.
references = geometry.instance_references()
# Besides normal generic attributes, there are also two important
# instance-specific attributes. "instance_transform" is a 4x4 matrix attribute
# containing the transforms of each instance.
instance_transforms = instances_pointcloud.attributes["instance_transform"]
# ".reference_index" contains indices into the `references` list above and
# determines what geometry each instance uses.
reference_indices = instances_pointcloud.attributes[".reference_index"]
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