snnib.blender.network.Network.__init__¶
- Network.__init__(network_container: bpy.types.Object, template_neuron: bpy.types.Object, network_file: str = None)[source]¶
constructor
generates a random network if no network_file was found
otherwise reads the network from network_file
- Parameters
- network_container
bpy.types.Object
object representing the network container in the scene
- bounding box of network_container defines the region the network will occupy
neuron coordinates will be remapped to lie within the bounding box
- template_neuron
bpy.types.Object
- object representing a template to use for every neuron contained in the network
neurons in the network are instanced from template_neuron
you only need to modify template_neuron in order to procedurally apply the changes to all neurons in the network
- network_file
str, optional
file containing a save network to load into SNNIB
- the default is None
use random generation instead of reading from a file
Raises
Returns