pub struct ScaleAwareDetectorModel { /* private fields */ }Expand description
Generic scale-aware object detection model.
This unified implementation supports detection models that require scale information as auxiliary inputs (PicoDet, PP-DocLayout, etc.), eliminating code duplication by parameterizing the inference mode.
Implementations§
Source§impl ScaleAwareDetectorModel
impl ScaleAwareDetectorModel
Sourcepub fn new(
inference: OrtInfer,
preprocess_config: ScaleAwareDetectorPreprocessConfig,
inference_mode: ScaleAwareDetectorInferenceMode,
) -> Result<ScaleAwareDetectorModel, OCRError>
pub fn new( inference: OrtInfer, preprocess_config: ScaleAwareDetectorPreprocessConfig, inference_mode: ScaleAwareDetectorInferenceMode, ) -> Result<ScaleAwareDetectorModel, OCRError>
Creates a new scale-aware detector model.
Sourcepub fn preprocess(
&self,
images: Vec<ImageBuffer<Rgb<u8>, Vec<u8>>>,
) -> Result<(ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>, Vec<ImageScaleInfo>, Vec<[f32; 2]>, Vec<[f32; 2]>), OCRError>
pub fn preprocess( &self, images: Vec<ImageBuffer<Rgb<u8>, Vec<u8>>>, ) -> Result<(ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>, Vec<ImageScaleInfo>, Vec<[f32; 2]>, Vec<[f32; 2]>), OCRError>
Preprocesses images for object detection.
Returns:
- Batch tensor ready for inference
- Image shapes after resizing [h, w, ratio_h, ratio_w]
- Original shapes [h, w]
- Resized shapes [h, w]
Sourcepub fn infer(
&self,
batch_tensor: &ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>,
orig_shapes: &[[f32; 2]],
resized_shapes: &[[f32; 2]],
) -> Result<ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>, OCRError>
pub fn infer( &self, batch_tensor: &ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>, orig_shapes: &[[f32; 2]], resized_shapes: &[[f32; 2]], ) -> Result<ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>, OCRError>
Runs inference on the preprocessed batch tensor.
Automatically handles different inference modes:
- ScaleFactorOnly: Only passes scale_factor
- ScaleFactorAndImageShape: Passes both scale_factor and im_shape
Sourcepub fn postprocess(
&self,
predictions: ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>,
_config: &ScaleAwareDetectorPostprocessConfig,
) -> Result<ScaleAwareDetectorModelOutput, OCRError>
pub fn postprocess( &self, predictions: ArrayBase<OwnedRepr<f32>, Dim<[usize; 4]>>, _config: &ScaleAwareDetectorPostprocessConfig, ) -> Result<ScaleAwareDetectorModelOutput, OCRError>
Postprocesses model predictions.
Returns raw predictions for adapter layer to process.
Sourcepub fn forward(
&self,
images: Vec<ImageBuffer<Rgb<u8>, Vec<u8>>>,
config: &ScaleAwareDetectorPostprocessConfig,
) -> Result<(ScaleAwareDetectorModelOutput, Vec<ImageScaleInfo>), OCRError>
pub fn forward( &self, images: Vec<ImageBuffer<Rgb<u8>, Vec<u8>>>, config: &ScaleAwareDetectorPostprocessConfig, ) -> Result<(ScaleAwareDetectorModelOutput, Vec<ImageScaleInfo>), OCRError>
Runs the complete forward pass: preprocess -> infer -> postprocess.
Trait Implementations§
Auto Trait Implementations§
impl !Freeze for ScaleAwareDetectorModel
impl RefUnwindSafe for ScaleAwareDetectorModel
impl Send for ScaleAwareDetectorModel
impl Sync for ScaleAwareDetectorModel
impl Unpin for ScaleAwareDetectorModel
impl UnwindSafe for ScaleAwareDetectorModel
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