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Andrews Sobral authored
* big refactoring, improved IBGS interface, added new macros, ... * Updated MyBGS algorithm template * simplified ibgs interface, moved generic code to utils * src folder restructuration * refactoring for the new folder structure * headers fix in qt gui and examples * Refactorization of ILoadSaveConfig
Andrews Sobral authored* big refactoring, improved IBGS interface, added new macros, ... * Updated MyBGS algorithm template * simplified ibgs interface, moved generic code to utils * src folder restructuration * refactoring for the new folder structure * headers fix in qt gui and examples * Refactorization of ILoadSaveConfig
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DPZivkovicAGMM.cpp 2.29 KiB
#include "DPZivkovicAGMM.h"
#if CV_MAJOR_VERSION >= 2 && CV_MAJOR_VERSION <= 3
using namespace bgslibrary::algorithms;
DPZivkovicAGMM::DPZivkovicAGMM() :
IBGS(quote(DPZivkovicAGMM)),
frameNumber(0), threshold(25.0f),
alpha(0.001f), gaussians(3)
{
debug_construction(DPZivkovicAGMM);
initLoadSaveConfig(algorithmName);
}
DPZivkovicAGMM::~DPZivkovicAGMM() {
debug_destruction(DPZivkovicAGMM);
}
void DPZivkovicAGMM::process(const cv::Mat &img_input, cv::Mat &img_output, cv::Mat &img_bgmodel)
{
init(img_input, img_output, img_bgmodel);
frame = new IplImage(img_input);
if (firstTime)
frame_data.ReleaseMemory(false);
frame_data = frame;
if (firstTime) {
int width = img_input.size().width;
int height = img_input.size().height;
lowThresholdMask = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);
lowThresholdMask.Ptr()->origin = IPL_ORIGIN_BL;
highThresholdMask = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 1);
highThresholdMask.Ptr()->origin = IPL_ORIGIN_BL;
params.SetFrameSize(width, height);
params.LowThreshold() = threshold; //5.0f*5.0f;
params.HighThreshold() = 2 * params.LowThreshold(); // Note: high threshold is used by post-processing
params.Alpha() = alpha; //0.001f;
params.MaxModes() = gaussians; //3;
bgs.Initalize(params);
bgs.InitModel(frame_data);
}
bgs.Subtract(frameNumber, frame_data, lowThresholdMask, highThresholdMask);
lowThresholdMask.Clear();
bgs.Update(frameNumber, frame_data, lowThresholdMask);
img_foreground = cv::cvarrToMat(highThresholdMask.Ptr());
img_background = cv::cvarrToMat(bgs.Background()->Ptr());
//img_background = cv::Mat::zeros(img_input.size(), img_input.type());
#ifndef MEX_COMPILE_FLAG
if (showOutput)
cv::imshow(algorithmName + "_FG", img_foreground);
#endif
img_foreground.copyTo(img_output);
img_background.copyTo(img_bgmodel);
delete frame;
firstTime = false;
frameNumber++;
}
void DPZivkovicAGMM::save_config(cv::FileStorage &fs) {
fs << "threshold" << threshold;
fs << "alpha" << alpha;
fs << "gaussians" << gaussians;
fs << "showOutput" << showOutput;
}
void DPZivkovicAGMM::load_config(cv::FileStorage &fs) {
fs["threshold"] >> threshold;
fs["alpha"] >> alpha;
fs["gaussians"] >> gaussians;
fs["showOutput"] >> showOutput;
}
#endif