opencv::prelude

Trait TextDetectionModelTraitConst

Source 
pub trait TextDetectionModelTraitConst: ModelTraitConst {
    // Required method
    fn as_raw_TextDetectionModel(&self) -> *const c_void;

    // Provided methods
    fn detect_with_confidences(
        &self,
        frame: &impl ToInputArray,
        detections: &mut Vector<Vector<Point>>,
        confidences: &mut Vector<f32>,
    ) -> Result<()> { ... }
    fn detect(
        &self,
        frame: &impl ToInputArray,
        detections: &mut Vector<Vector<Point>>,
    ) -> Result<()> { ... }
    fn detect_text_rectangles(
        &self,
        frame: &impl ToInputArray,
        detections: &mut Vector<RotatedRect>,
        confidences: &mut Vector<f32>,
    ) -> Result<()> { ... }
    fn detect_text_rectangles_1(
        &self,
        frame: &impl ToInputArray,
        detections: &mut Vector<RotatedRect>,
    ) -> Result<()> { ... }
}
Expand description

Constant methods for crate::dnn::TextDetectionModel

Required Methods§

Source

fn as_raw_TextDetectionModel(&self) -> *const c_void

Provided Methods§

Source

fn detect_with_confidences( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

Given the input @p frame, prepare network input, run network inference, post-process network output and return result detections.

Each result is quadrangle’s 4 points in this order:

  • bottom-left
  • top-left
  • top-right
  • bottom-right

Use cv::getPerspectiveTransform function to retrieve image region without perspective transformations.

Note: If DL model doesn’t support that kind of output then result may be derived from detectTextRectangles() output.

§Parameters
  • frame: The input image
  • detections:[out] array with detections’ quadrangles (4 points per result)
  • confidences:[out] array with detection confidences
Source

fn detect( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, ) -> Result<()>

Performs detection

Given the input @p frame, prepare network input, run network inference, post-process network output and return result detections.

Each result is quadrangle’s 4 points in this order:

  • bottom-left
  • top-left
  • top-right
  • bottom-right

Use cv::getPerspectiveTransform function to retrieve image region without perspective transformations.

Note: If DL model doesn’t support that kind of output then result may be derived from detectTextRectangles() output.

§Parameters
  • frame: The input image
  • detections:[out] array with detections’ quadrangles (4 points per result)
  • confidences:[out] array with detection confidences
§Overloaded parameters
Source

fn detect_text_rectangles( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

Given the input @p frame, prepare network input, run network inference, post-process network output and return result detections.

Each result is rotated rectangle.

Note: Result may be inaccurate in case of strong perspective transformations.

§Parameters
  • frame: the input image
  • detections:[out] array with detections’ RotationRect results
  • confidences:[out] array with detection confidences
Source

fn detect_text_rectangles_1( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, ) -> Result<()>

Performs detection

Given the input @p frame, prepare network input, run network inference, post-process network output and return result detections.

Each result is rotated rectangle.

Note: Result may be inaccurate in case of strong perspective transformations.

§Parameters
  • frame: the input image
  • detections:[out] array with detections’ RotationRect results
  • confidences:[out] array with detection confidences
§Overloaded parameters

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors§