remove Mat copying
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@ -283,7 +283,7 @@ struct ChannelStorage
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// convert to luv
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// convert to luv
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cv::Mat luv;
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cv::Mat luv;
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cv::cvtColor(colored, luv, CV_RGB2Luv);
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cv::cvtColor(colored, luv, CV_BGR2Luv);
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// split to 3 one channel matrix
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// split to 3 one channel matrix
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std::vector<cv::Mat> splited, luvs;
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std::vector<cv::Mat> splited, luvs;
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@ -300,7 +300,7 @@ struct ChannelStorage
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// convert to grey
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// convert to grey
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cv::Mat grey;
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cv::Mat grey;
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cv::cvtColor(colored, grey, CV_RGB2GRAY);
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cv::cvtColor(colored, grey, CV_BGR2GRAY);
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// get derivative
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// get derivative
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cv::Mat df_dx, df_dy, mag, angle;
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cv::Mat df_dx, df_dy, mag, angle;
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@ -371,7 +371,7 @@ struct ChannelStorage
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float get(const int x, const int y, const int channel, const cv::Rect& area) const
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float get(const int x, const int y, const int channel, const cv::Rect& area) const
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{
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{
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CV_Assert(channel < HOG_LUV_BINS);
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CV_Assert(channel < HOG_LUV_BINS);
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const cv::Mat m = hog[channel];
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const cv::Mat& m = hog[channel];
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dprintf("feature box %d %d %d %d ", area.x, area.y, area.width, area.height);
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dprintf("feature box %d %d %d %d ", area.x, area.y, area.width, area.height);
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dprintf("get for channel %d\n", channel);
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dprintf("get for channel %d\n", channel);
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@ -731,9 +731,6 @@ void cv::SoftCascade::detectMultiScale(const Mat& image, const std::vector<cv::R
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const Filds& fld = *filds;
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const Filds& fld = *filds;
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cv::Mat image1;
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cv::cvtColor(image, image1, CV_BGR2RGB);
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// create integrals
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// create integrals
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ChannelStorage storage(image, fld.shrinkage);
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ChannelStorage storage(image, fld.shrinkage);
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