Struct RecModel

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pub struct RecModel { /* private fields */ }

Expand description

Text recognition model

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impl RecModel

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pub fn from_file( model_path: impl AsRef<Path>, charset_path: impl AsRef<Path>, config: Option<InferenceConfig>, ) -> OcrResult<Self>

Create recognizer from model file and charset file

§Parameters

model_path: Model file path (.mnn format)
charset_path: Charset file path (one character per line)
config: Optional inference config

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pub fn from_bytes( model_bytes: &[u8], charset_path: impl AsRef<Path>, config: Option<InferenceConfig>, ) -> OcrResult<Self>

Create recognizer from model bytes and charset file

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pub fn from_bytes_with_charset( model_bytes: &[u8], charset_bytes: &[u8], config: Option<InferenceConfig>, ) -> OcrResult<Self>

Create recognizer from model bytes and charset bytes

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pub fn with_options(self, options: RecOptions) -> Self

Set recognition options

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pub fn options(&self) -> &RecOptions

Get current recognition options

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pub fn options_mut(&mut self) -> &mut RecOptions

Modify recognition options

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pub fn charset_size(&self) -> usize

Get charset size

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pub fn recognize(&self, image: &DynamicImage) -> OcrResult<RecognitionResult>

Recognize a single image

§Parameters

image: Input image (text line image)

§Returns

Recognition result

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pub fn recognize_text(&self, image: &DynamicImage) -> OcrResult<String>

Recognize a single image, return text only

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pub fn recognize_batch( &self, images: &[DynamicImage], ) -> OcrResult<Vec<RecognitionResult>>

Batch recognize images

§Parameters

images: List of input images

§Returns

List of recognition results

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pub fn recognize_batch_ref( &self, images: &[&DynamicImage], ) -> OcrResult<Vec<RecognitionResult>>

Batch recognize images (borrowed version, avoid cloning)

§Parameters

images: List of input image references

§Returns

List of recognition results

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impl RecModel

Low-level recognition API

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pub fn run_raw(&self, input: ArrayViewD<'_, f32>) -> OcrResult<ArrayD<f32>>

Raw inference interface

Execute model inference directly without preprocessing and postprocessing

§Parameters

input: Preprocessed input tensor [1, 3, H, W]

§Returns

Model raw output

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pub fn input_shape(&self) -> &[usize]

Get model input shape

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pub fn output_shape(&self) -> &[usize]

Get model output shape

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pub fn charset(&self) -> &[char]

Get charset

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pub fn get_char(&self, index: usize) -> Option<char>

Get character by index

Auto Trait Implementations§

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impl UnwindSafe for RecModel

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impl<T> Any for T
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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

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Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more

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