Trait opencv::hub_prelude::DPMDetector

pub trait DPMDetector: DPMDetectorConst {
    fn as_raw_mut_DPMDetector(&mut self) -> *mut c_void;

    fn detect(
        &mut self,
        image: &mut Mat,
        objects: &mut Vector<DPMDetector_ObjectDetection>
    ) -> Result<()> { ... }
}

This is a C++ abstract class, it provides external user API to work with DPM.

Required Methods

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

Provided Methods

fn detect(
    &mut self,
    image: &mut Mat,
    objects: &mut Vector<DPMDetector_ObjectDetection>
) -> Result<()>

Find rectangular regions in the given image that are likely to contain objects of loaded classes (models) and corresponding confidence levels.

Parameters

• image: An image.
• objects: The detections: rectangulars, scores and class IDs.

Implementations

impl dyn DPMDetector + '_

pub fn create(
    filenames: &Vector<String>,
    class_names: &Vector<String>
) -> Result<Ptr<dyn DPMDetector>>

Load the trained models from given .xml files and return cv::Ptr<DPMDetector>.

Parameters

• filenames: A set of filenames storing the trained detectors (models). Each file contains one model. See examples of such files here /opencv_extra/testdata/cv/dpm/VOC2007_Cascade/.
• classNames: A set of trained models names. If it’s empty then the name of each model will be constructed from the name of file containing the model. E.g. the model stored in “/home/user/cat.xml” will get the name “cat”.

C++ default parameters

• class_names: std::vectorstd::string()

Implementors

impl DPMDetector for Ptr<dyn DPMDetector>