Extended object detection#

Classes#

Name

Description

class cv::xobjdetect::WBDetector

WaldBoost detector.

Class cv::xobjdetect::WBDetector#

WaldBoost detector.

#include <opencv2/xobjdetect.hpp>

Collaboration diagram for cv::xobjdetect::WBDetector:

cv::xobjdetect::WBDetector Node1 cv::xobjdetect::WBDetector   + ~WBDetector() + detect() + read() + train() + write() + create()

cv::xobjdetect::WBDetector Node1 cv::xobjdetect::WBDetector   + ~WBDetector() + detect() + read() + train() + write() + create()

Detailed Description#

WaldBoost detector.

Constructor & Destructor Documentation#

~WBDetector()#

cv::xobjdetect::WBDetector::~WBDetector()

Member Function Documentation#

detect()#

void cv::xobjdetect::WBDetector::detect(
const Mat & img,
std::vector< Rect > & bboxes,
std::vector< double > & confidences )

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

read()#

void cv::xobjdetect::WBDetector::read(const FileNode & node)

Read detector from FileNode.

Parameters

train()#

void cv::xobjdetect::WBDetector::train(
const std::string & pos_samples,
const std::string & neg_imgs )

Train WaldBoost detector.

Parameters

  • pos_samples — Path to directory with cropped positive samples

  • neg_imgs — Path to directory with negative (background) images

write()#

void cv::xobjdetect::WBDetector::write(FileStorage & fs)

Write detector to FileStorage.

Parameters

create()#

static Ptr< WBDetector > cv::xobjdetect::WBDetector::create()

Create instance of WBDetector.

Source file#

The documentation for this class was generated from the following file: