Struct opencv::dnn::TextDetectionModel

pub struct TextDetectionModel { /* fields omitted */ }

Base class for text detection networks

Trait Implementations

impl Boxed for TextDetectionModel

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer

impl Drop for TextDetectionModel

fn drop(&mut self)

Executes the destructor for this type.

impl From<TextDetectionModel> for Model

fn from(s: TextDetectionModel) -> Self

Performs the conversion.

impl From<TextDetectionModel_DB> for TextDetectionModel

fn from(s: TextDetectionModel_DB) -> Self

Performs the conversion.

impl From<TextDetectionModel_EAST> for TextDetectionModel

fn from(s: TextDetectionModel_EAST) -> Self

Performs the conversion.

impl ModelTrait for TextDetectionModel

fn as_raw_mut_Model(&mut self) -> *mut c_void

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: f64) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_input_params(
    &mut self,
    scale: f64,
    size: Size,
    mean: Scalar,
    swap_rb: bool,
    crop: bool
) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTraitConst for TextDetectionModel

fn as_raw_Model(&self) -> *const c_void

fn predict(
    &self,
    frame: &dyn ToInputArray,
    outs: &mut dyn ToOutputArray
) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl TextDetectionModelTrait for TextDetectionModel

fn as_raw_mut_TextDetectionModel(&mut self) -> *mut c_void

impl TextDetectionModelTraitConst for TextDetectionModel

fn as_raw_TextDetectionModel(&self) -> *const c_void

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

Performs detection

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

Performs detection

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

Performs detection

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

Performs detection

impl Send for TextDetectionModel