PointCloudNetwork() [2/2]

MayaFlux::Nodes::Network::PointCloudNetwork::PointCloudNetwork ( size_t  num_points, const glm::vec3 &  bounds_min = glm::vec3(-1.0F), const glm::vec3 &  bounds_max = glm::vec3(1.0F), Kinesis::SpatialDistribution  init_mode = Kinesis::SpatialDistribution::RANDOM_CUBE  )

explicit

Create network with initial point count and bounds.

Parameters

num_points	Number of points to generate
bounds_min	Minimum coordinate bounds
bounds_max	Maximum coordinate bounds
init_mode	How to distribute initial positions

Definition at line 20 of file PointCloudNetwork.cpp.

    : m_num_points(num_points)
    , m_bounds(bounds_min, bounds_max)
    , m_init_mode(init_mode)
{
    set_topology(Topology::INDEPENDENT);
    set_output_mode(OutputMode::GRAPHICS_BIND);
    m_operator_chain = std::make_shared<OperatorChain>();
 
    MF_INFO(Journal::Component::Nodes, Journal::Context::NodeProcessing,
        "Created PointCloudNetwork with {} points, bounds [{:.2f}, {:.2f}, {:.2f}] to [{:.2f}, {:.2f}, {:.2f}]",
        num_points,
        bounds_min.x, bounds_min.y, bounds_min.z,
        bounds_max.x, bounds_max.y, bounds_max.z);
}

References MayaFlux::Nodes::Network::GRAPHICS_BIND, MayaFlux::Nodes::Network::INDEPENDENT, MayaFlux::Nodes::Network::NodeNetwork::m_operator_chain, MF_INFO, MayaFlux::Journal::NodeProcessing, MayaFlux::Journal::Nodes, MayaFlux::Nodes::Network::NodeNetwork::set_output_mode(), and set_topology().

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