OpenCV库版本2.42。我想在BackgroundSubtractorMOG2
对象中设置一个参数,例如
BackgroundSubtractorMOG2 bgr;
// the following doesn't work because 'nmixtures', 'backgroundRatio'
// and 'fVarMin' are a protected members.
bgr.nmixtures = 3;
bgr.backgroundRatio = 0.9;
bgr.fVarMin = 5;
// the following works
bgr.set('nmixtures', 3);
// both of the following lines will give a run-time error
// `Access violation reading location 0x0000000000000008.`
bgr.set("backgroundRatio", 0.9);
bgr.set("fVarMin", 5);
backgroundRatio
和fVarMin
是控制算法的参数。用户应该能够根据documentation更改这些参数。
如何设置BackgroundSubtractorMOG2
?
编辑正如下面的答案中正确提到的,这是OpenCV中的一个错误。该错误已在OpenCV版本2.4.6中修复。
答案 0 :(得分:9)
我刚刚查看了OpenCV源代码,发现文件/modules/video/src/video_init.cpp
中有趣的初始化。这是:
CV_INIT_ALGORITHM(BackgroundSubtractorMOG2, "BackgroundSubtractor.MOG2",
obj.info()->addParam(obj, "history", obj.history);
obj.info()->addParam(obj, "nmixtures", obj.nmixtures);
obj.info()->addParam(obj, "varThreshold", obj.varThreshold);
obj.info()->addParam(obj, "detectShadows", obj.bShadowDetection));
似乎可以使用方法set
设置这四个参数。
还要查看文件modules/video/src/bgfg_gaussmix2.cpp
,该文件具有BackgroundSubtractorMOG2
类。它包含以下字段:
float fVarInit;
float fVarMax;
float fVarMin;
//initial standard deviation for the newly generated components.
//It will will influence the speed of adaptation. A good guess should be made.
//A simple way is to estimate the typical standard deviation from the images.
//I used here 10 as a reasonable value
值fVarMin
(您想要更改)设置为:
fVarMin = defaultVarMin2
在两个构造函数中。以下是所有这些:
static const float defaultVarInit2 = 15.0f; // initial variance for new components
static const float defaultVarMax2 = 5*defaultVarInit2;
static const float defaultVarMin2 = 4.0f;
有趣的是,这个值没有在任何其他文件中使用,因此现在似乎无法改变它。您可以将此问题直接发布到OpenCV bugtracker。
答案 1 :(得分:4)
是的,bgr.set("nmixtures",3);
应该有效。 BackgroundSubtractorMOG2
继承自cv::Algorithm
,因此您使用cv:Algorithm::get
和cv::Algorithm::set
来访问这些参数。你尝试过这个并不起作用吗?
答案 2 :(得分:2)
由于这些参数受到保护,派生类可以访问它们。我创建了一个派生类来设置所有必要的参数。
struct BackgroundModel2ParameterBlock {
int nmixtures;
float backgroundRatio;
float varThresholdGen;
float fVarInit;
float fVarMin;
float fVarMax;
BackgroundModel2ParameterBlock(void) :
nmixtures(3),
backgroundRatio(0.6),
varThresholdGen(6.25),
fVarInit(256),
fVarMin(256),
fVarMax(9e2)
{ }
};
class BackgroundModel2 : public cv::BackgroundSubtractorMOG2 {
private:
BackgroundModel2ParameterBlock m_param;
};
BackgroundModel2::BackgroundModel2(BackgroundModel2ParameterBlock param):
BackgroundSubtractorMOG2(),
m_param(param)
{
nmixtures = m_param.nmixtures;
backgroundRatio = m_param.backgroundRatio;
varThresholdGen = m_param.varThresholdGen;
fVarInit = m_param.fVarInit;
fVarMin = m_param.fVarMin;
fVarMax = m_param.fVarMax;
}
答案 3 :(得分:1)
在android
中,使用算法函数:setDouble
,setInt
,setBool
:
这有效:
mBgMog2 = new BackgroundSubtractorMOG2(mHistory,mMog2Threshold );
mBgMog2.setInt("nmixtures" , 3);
mBgMog2.setDouble("fVarInit" , 80.0);
mBgMog2.setDouble("fTau" , 0.2);
mBgMog2.setDouble("fVarMin" , 200.0);
mBgMog2.setDouble("fVarMax" , 80.0);
mBgMog2.setBool("detectShadows",false);