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BaseDetector.h
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91 lines (74 loc) · 2.25 KB
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#pragma once
#include <memory>
#include "defines.h"
///
/// \brief The BaseDetector class
///
class BaseDetector
{
public:
BaseDetector(bool collectPoints, cv::UMat& frame)
: m_collectPoints(collectPoints)
{
m_minObjectSize.width = std::max(5, frame.cols / 100);
m_minObjectSize.height = m_minObjectSize.width;
}
virtual ~BaseDetector(void)
{
}
virtual void Detect(cv::UMat& frame) = 0;
void SetMinObjectSize(cv::Size minObjectSize)
{
m_minObjectSize = minObjectSize;
}
const regions_t& GetDetects() const
{
return m_regions;
}
virtual void CalcMotionMap(cv::Mat frame)
{
if (m_motionMap.size() != frame.size())
{
m_motionMap = cv::Mat(frame.size(), CV_32FC1, cv::Scalar(0, 0, 0));
}
cv::Mat foreground(m_motionMap.size(), CV_8UC1, cv::Scalar(0, 0, 0));
for (const auto& region : m_regions)
{
cv::ellipse(foreground,
cv::RotatedRect((region.m_rect.tl() + region.m_rect.br()) / 2, region.m_rect.size(), 0),
cv::Scalar(255, 255, 255), CV_FILLED);
}
cv::Mat normFor;
cv::normalize(foreground, normFor, 255, 0, cv::NORM_MINMAX, m_motionMap.type());
double alpha = 0.95;
cv::addWeighted(m_motionMap, alpha, normFor, 1 - alpha, 0, m_motionMap);
const int chans = frame.channels();
for (int y = 0; y < frame.rows; ++y)
{
uchar* imgPtr = frame.ptr(y);
float* moPtr = reinterpret_cast<float*>(m_motionMap.ptr(y));
for (int x = 0; x < frame.cols; ++x)
{
for (int ci = chans - 1; ci < chans; ++ci)
{
imgPtr[ci] = cv::saturate_cast<uchar>(imgPtr[ci] + moPtr[0]);
}
imgPtr += chans;
++moPtr;
}
}
}
protected:
regions_t m_regions;
cv::Size m_minObjectSize;
bool m_collectPoints;
cv::Mat m_motionMap;
};
///
/// \brief CreateDetector
/// \param detectorType
/// \param collectPoints
/// \param gray
/// \return
///
BaseDetector* CreateDetector(tracking::Detectors detectorType, bool collectPoints, cv::UMat& gray);