Trait opencv::prelude::WBDetector

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pub trait WBDetector: WBDetectorConst {
    // Required method
    fn as_raw_mut_WBDetector(&mut self) -> *mut c_void;

    // Provided methods
    fn read(&mut self, node: &FileNode) -> Result<()> { ... }
    fn train(&mut self, pos_samples: &str, neg_imgs: &str) -> Result<()> { ... }
    fn detect(
        &mut self,
        img: &Mat,
        bboxes: &mut Vector<Rect>,
        confidences: &mut Vector<f64>
    ) -> Result<()> { ... }
}
Expand description

WaldBoost detector

Required Methods§

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

Provided Methods§

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fn read(&mut self, node: &FileNode) -> Result<()>

Read detector from FileNode.

Parameters
  • node: FileNode for input
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fn train(&mut self, pos_samples: &str, neg_imgs: &str) -> Result<()>

Train WaldBoost detector

Parameters
  • pos_samples: Path to directory with cropped positive samples
  • neg_imgs: Path to directory with negative (background) images
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fn detect( &mut self, img: &Mat, bboxes: &mut Vector<Rect>, confidences: &mut Vector<f64> ) -> Result<()>

Detect objects on image using WaldBoost detector

Parameters
  • img: Input image for detection
  • bboxes: Bounding boxes coordinates output vector
  • confidences: Confidence values for bounding boxes output vector

Implementations§

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impl dyn WBDetector + '_

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pub fn create() -> Result<Ptr<dyn WBDetector>>

Create instance of WBDetector

Implementors§