Struct TableClassificationAdapter 

pub struct TableClassificationAdapter { /* private fields */ }

Table classification adapter that uses the PP-LCNet model.

Implementations

impl TableClassificationAdapter

pub const DEFAULT_INPUT_SHAPE: (u32, u32)

Default input shape for table classification (224x224 as per model spec).

pub fn new( model: PPLCNetModel, info: AdapterInfo, config: TableClassificationConfig, postprocess_config: PPLCNetPostprocessConfig, ) -> TableClassificationAdapter

Creates a new table classification adapter.

pub fn labels() -> Vec<String>

Class labels for table classification.

Trait Implementations

impl Debug for TableClassificationAdapter

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

Formats the value using the given formatter.

impl ModelAdapter for TableClassificationAdapter

type Task = TableClassificationTask

The task type this adapter executes

fn info(&self) -> AdapterInfo

Returns information about this adapter.

fn execute( &self, input: <<TableClassificationAdapter as ModelAdapter>::Task as Task>::Input, config: Option<&<<TableClassificationAdapter as ModelAdapter>::Task as Task>::Config>, ) -> Result<<<TableClassificationAdapter as ModelAdapter>::Task as Task>::Output, OCRError>

Executes the model on the given input.

fn supports_batching(&self) -> bool

Returns whether this adapter can handle batched inputs efficiently.

fn recommended_batch_size(&self) -> usize

Returns the recommended batch size for this adapter.

fn schema(&self) -> TaskSchema

Returns the schema that this adapter conforms to.

fn validate_compatibility(&self, schema: &TaskSchema) -> Result<(), OCRError>

Validates that this adapter is compatible with the given task schema.