WaldBoost detector.
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#include <opencv2/xobjdetect.hpp>
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virtual | ~WBDetector () |
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virtual void | detect (const Mat &img, std::vector< Rect > &bboxes, std::vector< double > &confidences)=0 |
| Detect objects on image using WaldBoost detector.
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virtual void | read (const FileNode &node)=0 |
| Read detector from FileNode.
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virtual void | train (const std::string &pos_samples, const std::string &neg_imgs)=0 |
| Train WaldBoost detector.
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virtual void | write (FileStorage &fs) const =0 |
| Write detector to FileStorage.
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◆ ~WBDetector()
virtual cv::xobjdetect::WBDetector::~WBDetector |
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inlinevirtual |
◆ create()
◆ detect()
virtual void cv::xobjdetect::WBDetector::detect |
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const Mat & |
img, |
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std::vector< Rect > & |
bboxes, |
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std::vector< double > & |
confidences |
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) |
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pure virtual |
Detect objects on image using WaldBoost detector.
- Parameters
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img | Input image for detection |
bboxes | Bounding boxes coordinates output vector |
confidences | Confidence values for bounding boxes output vector |
◆ read()
virtual void cv::xobjdetect::WBDetector::read |
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const FileNode & |
node | ) |
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pure virtual |
◆ train()
virtual void cv::xobjdetect::WBDetector::train |
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const std::string & |
pos_samples, |
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const std::string & |
neg_imgs |
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) |
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pure virtual |
Train WaldBoost detector.
- Parameters
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pos_samples | Path to directory with cropped positive samples |
neg_imgs | Path to directory with negative (background) images |
◆ write()
virtual void cv::xobjdetect::WBDetector::write |
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FileStorage & |
fs | ) |
const |
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pure virtual |
The documentation for this class was generated from the following file: