基于高斯混合模型的背景/前景分割算法。更多…
#include <opencv2/bgsegm.hpp>
基于高斯混合模型的背景/前景分割算法。
该类实现了[137]中描述的算法。
◆ getBackgroundRatio()
virtual double cv::bgsegm::BackgroundSubtractorMOG::getBackgroundRatio |
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const |
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Python |
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| cv.bgsegm.BackgroundSubtractorMOG.getBackgroundRatio( | | ) -> | retval |
◆ getHistory()
virtual int cv::bgsegm::BackgroundSubtractorMOG::getHistory |
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const |
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Python |
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| cv.bgsegm.BackgroundSubtractorMOG.getHistory( | | ) -> | retval |
◆ getNMixtures()
virtual int cv::bgsegm::BackgroundSubtractorMOG::getNMixtures |
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const |
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Python |
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| cv.bgsegm.BackgroundSubtractorMOG.getNMixtures( | | ) -> | retval |
◆ getNoiseSigma()
virtual double cv::bgsegm::BackgroundSubtractorMOG::getNoiseSigma |
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const |
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纯虚函数 |
Python |
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| cv.bgsegm.BackgroundSubtractorMOG.getNoiseSigma( | | ) -> | retval |
◆ setBackgroundRatio()
virtual void cv::bgsegm::BackgroundSubtractorMOG::setBackgroundRatio |
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double | backgroundRatio | ) |
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| cv.bgsegm.BackgroundSubtractorMOG.setBackgroundRatio( | backgroundRatio | ) -> | None |
◆ setHistory()
virtual void cv::bgsegm::BackgroundSubtractorMOG::setHistory |
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int | nframes | ) |
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Python |
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| cv.bgsegm.BackgroundSubtractorMOG.setHistory( | nframes | ) -> | None |
◆ setNMixtures()
virtual void cv::bgsegm::BackgroundSubtractorMOG::setNMixtures |
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int | nmix | ) |
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纯虚函数 |
Python |
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| cv.bgsegm.BackgroundSubtractorMOG.setNMixtures( | nmix | ) -> | None |
◆ setNoiseSigma()
虚函数 void cv::bgsegm::BackgroundSubtractorMOG::setNoiseSigma |
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double | noiseSigma | ) |
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纯虚函数 |
Python |
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| cv.bgsegm.BackgroundSubtractorMOG.setNoiseSigma( | noiseSigma | ) -> | None |
此类的文档是从以下文件生成的: