fast-yolo4/3rdparty/opencv/inc/opencv2/xobjdetect.hpp
2024-09-25 09:43:03 +08:00

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/*
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For Open Source Computer Vision Library
(3-clause BSD License)
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*/
#ifndef __OPENCV_XOBJDETECT_XOBJDETECT_HPP__
#define __OPENCV_XOBJDETECT_XOBJDETECT_HPP__
#include <opencv2/core.hpp>
#include <vector>
#include <string>
/** @defgroup xobjdetect Extended object detection
*/
namespace cv
{
namespace xobjdetect
{
//! @addtogroup xobjdetect
//! @{
/** @brief WaldBoost detector
*/
class CV_EXPORTS WBDetector {
public:
/** @brief Read detector from FileNode.
@param node FileNode for input
*/
virtual void read(const FileNode &node) = 0;
/** @brief Write detector to FileStorage.
@param fs FileStorage for output
*/
virtual void write(FileStorage &fs) const = 0;
/** @brief Train WaldBoost detector
@param pos_samples Path to directory with cropped positive samples
@param neg_imgs Path to directory with negative (background) images
*/
virtual void train(
const std::string& pos_samples,
const std::string& neg_imgs) = 0;
/** @brief Detect objects on image using WaldBoost detector
@param img Input image for detection
@param bboxes Bounding boxes coordinates output vector
@param confidences Confidence values for bounding boxes output vector
*/
virtual void detect(
const Mat& img,
std::vector<Rect> &bboxes,
std::vector<double> &confidences) = 0;
/** @brief Create instance of WBDetector
*/
static Ptr<WBDetector> create();
virtual ~WBDetector(){}
};
//! @}
} /* namespace xobjdetect */
} /* namespace cv */
#endif /* __OPENCV_XOBJDETECT_XOBJDETECT_HPP__ */