Struct AnalysisSettings 

pub struct AnalysisSettings {
    pub kind: AnalysisKind,
    pub num_threads: Option<NonZeroUsize>,
    pub model_path: Option<PathBuf>,
}

Fields

kind: AnalysisKind

The kind of analysis to perform, either “features” or “embedding”. “features” will compute traditional audio features (tempo, key, etc.) “embedding” will compute neural audio embedding using a pre-trained model. Default is “features”.

Note that regardless of this setting, both features and embedding will be computed during analysis. This only determines the kind used for clustering, radio, and other such tasks

num_threads: Option<NonZeroUsize>

The number of threads to use for analysis. Default is the number of logical CPUs on the system.

Note that:

• increasing this number may increase memory usage significantly during analysis.
• setting this number to more than the number of logical CPUs will have no effect (saturates at number of logical CPUs).
• leave this unset to use the default.

model_path: Option<PathBuf>

You can optionally override the model used for generating audio embeddings. Requirements:

• The model must be in the ONNX format with opset version 16 or higher.
• The model should expect mono audio samples at a sample rate of 22,050 Hz.
• The input tensor must be name “audio” and have shape [B, N] where N a dynamic length corresponding to the number of audio samples in the song, and B is the batch size.
• The output tensor must be name “embedding” and have shape [B, 32] corresponding to a 32-dimensional embedding vector. B is the batch size.

If unset, or a non-existent/invalid path, the built-in model (which is bundled into the daemon binary) will be used.

Trait Implementations

impl Clone for AnalysisSettings

fn clone(&self) -> AnalysisSettings

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnalysisSettings

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

Formats the value using the given formatter.

impl Default for AnalysisSettings

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AnalysisSettings

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for AnalysisSettings

fn eq(&self, other: &AnalysisSettings) -> 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 Eq for AnalysisSettings

impl StructuralPartialEq for AnalysisSettings