Struct Gaussian3dTrainerConfig

pub struct Gaussian3dTrainerConfig {
    pub learning_rate_colors_sh: LearningRateConfig,
    pub learning_rate_opacities: LearningRateConfig,
    pub learning_rate_positions: LearningRateConfig,
    pub learning_rate_rotations: LearningRateConfig,
    pub learning_rate_scalings: LearningRateConfig,
    pub optimizer_adam: AdamConfig,
    pub options_renderer: Gaussian3dRenderOptions,
    pub range_metric_optimization_fine: RangeOptions,
    pub refiner: RefinerConfig,
}

3DGS trainer configuration.

Fields

learning_rate_colors_sh: LearningRateConfig

Learning rate for colors SH.

learning_rate_opacities: LearningRateConfig

Learning rate for opacities.

learning_rate_positions: LearningRateConfig

Learning rate for positions.

learning_rate_rotations: LearningRateConfig

Learning rate for rotations.

learning_rate_scalings: LearningRateConfig

Learning rate for scalings.

optimizer_adam: AdamConfig

Adam optimizer configuration.

options_renderer: Gaussian3dRenderOptions

Renderer options.

range_metric_optimization_fine: RangeOptions

Range for metric optimization (fine).

refiner: RefinerConfig

Refiner configuration.

Implementations

impl Gaussian3dTrainerConfig

pub fn new() -> Self

Create a new instance of the config.

impl Gaussian3dTrainerConfig

pub fn with_learning_rate_colors_sh( self, learning_rate_colors_sh: LearningRateConfig, ) -> Self

Learning rate for colors SH.

pub fn with_learning_rate_opacities( self, learning_rate_opacities: LearningRateConfig, ) -> Self

Learning rate for opacities.

pub fn with_learning_rate_positions( self, learning_rate_positions: LearningRateConfig, ) -> Self

Learning rate for positions.

pub fn with_learning_rate_rotations( self, learning_rate_rotations: LearningRateConfig, ) -> Self

Learning rate for rotations.

pub fn with_learning_rate_scalings( self, learning_rate_scalings: LearningRateConfig, ) -> Self

Learning rate for scalings.

pub fn with_optimizer_adam(self, optimizer_adam: AdamConfig) -> Self

Adam optimizer configuration.

pub fn with_options_renderer( self, options_renderer: Gaussian3dRenderOptions, ) -> Self

Renderer options.

pub fn with_range_metric_optimization_fine( self, range_metric_optimization_fine: RangeOptions, ) -> Self

Range for metric optimization (fine).

pub fn with_refiner(self, refiner: RefinerConfig) -> Self

Refiner configuration.

impl Gaussian3dTrainerConfig

pub fn init<AB: AutodiffBackend>( &self, device: &AB::Device, ) -> Gaussian3dTrainer<AB>

Initialize the trainer.

Trait Implementations

impl Clone for Gaussian3dTrainerConfig

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Config for Gaussian3dTrainerConfig

fn save<P>(&self, file: P) -> Result<(), Error>

where P: AsRef<Path>,

Saves the configuration to a file.

fn load<P>(file: P) -> Result<Self, ConfigError>

where P: AsRef<Path>,

Loads the configuration from a file.

fn load_binary(data: &[u8]) -> Result<Self, ConfigError>

Loads the configuration from a binary buffer.

impl Debug for Gaussian3dTrainerConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Gaussian3dTrainerConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Gaussian3dTrainerConfig

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Display for Gaussian3dTrainerConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for Gaussian3dTrainerConfig

fn eq(&self, other: &Gaussian3dTrainerConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for Gaussian3dTrainerConfig

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for Gaussian3dTrainerConfig

impl StructuralPartialEq for Gaussian3dTrainerConfig