Struct opencv::dnn::TextDetectionModel_EAST

pub struct TextDetectionModel_EAST { /* private fields */ }

This class represents high-level API for text detection DL networks compatible with EAST model.

Configurable parameters:

• (float) confThreshold - used to filter boxes by confidences, default: 0.5f
• (float) nmsThreshold - used in non maximum suppression, default: 0.0f

Implementations

impl TextDetectionModel_EAST

pub fn default() -> Result<TextDetectionModel_EAST>

pub fn new(network: &Net) -> Result<TextDetectionModel_EAST>

Create text detection algorithm from deep learning network

Parameters

• network: Net object

pub fn from_file(model: &str, config: &str) -> Result<TextDetectionModel_EAST>

Create text detection model from network represented in one of the supported formats. An order of @p model and @p config arguments does not matter.

Parameters

• model: Binary file contains trained weights.
• config: Text file contains network configuration.

C++ default parameters

• config: “”

Trait Implementations

impl Boxed for TextDetectionModel_EAST

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_EAST

fn drop(&mut self)

Executes the destructor for this type.

impl From<TextDetectionModel_EAST> for Model

fn from(s: TextDetectionModel_EAST) -> Self

Converts to this type from the input type.

impl From<TextDetectionModel_EAST> for TextDetectionModel

fn from(s: TextDetectionModel_EAST) -> Self

Converts to this type from the input type.

impl ModelTrait for TextDetectionModel_EAST

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_EAST

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_EAST

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

impl TextDetectionModelTraitConst for TextDetectionModel_EAST

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 TextDetectionModel_EASTTrait for TextDetectionModel_EAST

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

fn set_confidence_threshold( &mut self, conf_threshold: f32 ) -> Result<TextDetectionModel_EAST>

Set the detection confidence threshold

fn set_nms_threshold( &mut self, nms_threshold: f32 ) -> Result<TextDetectionModel_EAST>

Set the detection NMS filter threshold

impl TextDetectionModel_EASTTraitConst for TextDetectionModel_EAST

fn as_raw_TextDetectionModel_EAST(&self) -> *const c_void

fn get_confidence_threshold(&self) -> Result<f32>

Get the detection confidence threshold

fn get_nms_threshold(&self) -> Result<f32>

Get the detection confidence threshold

impl Send for TextDetectionModel_EAST