Trait opencv::xobjdetect::WBDetectorTrait
source · pub trait WBDetectorTrait: WBDetectorTraitConst {
// Required method
fn as_raw_mut_WBDetector(&mut self) -> *mut c_void;
// Provided methods
fn read(&mut self, node: &impl FileNodeTraitConst) -> Result<()> { ... }
fn train(&mut self, pos_samples: &str, neg_imgs: &str) -> Result<()> { ... }
fn detect(
&mut self,
img: &impl MatTraitConst,
bboxes: &mut Vector<Rect>,
confidences: &mut Vector<f64>
) -> Result<()> { ... }
}
Expand description
Mutable methods for crate::xobjdetect::WBDetector
Required Methods§
fn as_raw_mut_WBDetector(&mut self) -> *mut c_void
Provided Methods§
sourcefn read(&mut self, node: &impl FileNodeTraitConst) -> Result<()>
fn read(&mut self, node: &impl FileNodeTraitConst) -> Result<()>
sourcefn train(&mut self, pos_samples: &str, neg_imgs: &str) -> Result<()>
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
sourcefn detect(
&mut self,
img: &impl MatTraitConst,
bboxes: &mut Vector<Rect>,
confidences: &mut Vector<f64>
) -> Result<()>
fn detect( &mut self, img: &impl MatTraitConst, 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
Object Safety§
This trait is not object safe.