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@ -754,6 +754,15 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS |
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cv::Rect roi, roi2; |
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cv::Mat imgroi, imgroisq; |
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cv::ocl::oclMat resizeroi, gimgroi, gimgroisq; |
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int sdepth = 0; |
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if(gsqsum.clCxt->supportsFeature(ocl::FEATURE_CL_DOUBLE)) |
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sdepth = CV_64FC1; |
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else |
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sdepth = CV_32FC1; |
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sdepth = CV_MAT_DEPTH(sdepth); |
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int type = CV_MAKE_TYPE(sdepth, 1); |
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cv::ocl::oclMat gsqsum_t(gsqsum.size(), type); |
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int grp_per_CU = 12; |
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size_t blocksize = 8; |
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@ -773,7 +782,7 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS |
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roi2 = Rect(0, 0, sz.width - 1, sz.height - 1); |
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resizeroi = gimg1(roi2); |
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gimgroi = gsum(roi); |
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gimgroisq = gsqsum(roi); |
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gimgroisq = gsqsum_t(roi); |
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int width = gimgroi.cols - 1 - cascade->orig_window_size.width; |
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int height = gimgroi.rows - 1 - cascade->orig_window_size.height; |
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scaleinfo[i].width_height = (width << 16) | height; |
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@ -787,8 +796,10 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS |
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scaleinfo[i].factor = factor; |
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cv::ocl::resize(gimg, resizeroi, Size(sz.width - 1, sz.height - 1), 0, 0, INTER_LINEAR); |
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cv::ocl::integral(resizeroi, gimgroi, gimgroisq); |
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indexy += sz.height; |
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} |
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gsqsum_t.convertTo(gsqsum, CV_32FC1); |
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gcascade = (GpuHidHaarClassifierCascade *)cascade->hid_cascade; |
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stage = (GpuHidHaarStageClassifier *)(gcascade + 1); |
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@ -996,7 +1007,9 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS |
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int n_factors = 0; |
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oclMat gsum; |
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oclMat gsqsum; |
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cv::ocl::integral(gimg, gsum, gsqsum); |
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cv::ocl::oclMat gsqsum_t; |
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cv::ocl::integral(gimg, gsum, gsqsum_t); |
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gsqsum_t.convertTo(gsqsum, CV_32FC1); |
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CvSize sz; |
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vector<CvSize> sizev; |
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vector<float> scalev; |
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@ -1259,10 +1272,19 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std |
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if( (flags & CV_HAAR_SCALE_IMAGE) ) |
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{ |
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int indexy = 0; |
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int sdepth = 0; |
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CvSize sz; |
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cv::Rect roi, roi2; |
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cv::ocl::oclMat resizeroi, gimgroi, gimgroisq; |
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if(gsqsum.clCxt->supportsFeature(ocl::FEATURE_CL_DOUBLE)) |
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sdepth = CV_64FC1; |
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else |
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sdepth = CV_32FC1; |
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sdepth = CV_MAT_DEPTH(sdepth); |
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int type = CV_MAKE_TYPE(sdepth, 1); |
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cv::ocl::oclMat gsqsum_t(gsqsum.size(), type); |
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for( int i = 0; i < m_loopcount; i++ ) |
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{ |
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@ -1271,13 +1293,13 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std |
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roi2 = Rect(0, 0, sz.width - 1, sz.height - 1); |
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resizeroi = gimg1(roi2); |
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gimgroi = gsum(roi); |
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gimgroisq = gsqsum(roi); |
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gimgroisq = gsqsum_t(roi); |
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cv::ocl::resize(gimg, resizeroi, Size(sz.width - 1, sz.height - 1), 0, 0, INTER_LINEAR); |
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cv::ocl::integral(resizeroi, gimgroi, gimgroisq); |
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indexy += sz.height; |
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} |
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gsqsum_t.convertTo(gsqsum, CV_32FC1); |
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gcascade = (GpuHidHaarClassifierCascade *)(cascade->hid_cascade); |
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stage = (GpuHidHaarStageClassifier *)(gcascade + 1); |
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@ -1338,7 +1360,9 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std |
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} |
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else |
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{ |
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cv::ocl::integral(gimg, gsum, gsqsum); |
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cv::ocl::oclMat gsqsum_t; |
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cv::ocl::integral(gimg, gsum, gsqsum_t); |
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gsqsum_t.convertTo(gsqsum, CV_32FC1); |
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gcascade = (GpuHidHaarClassifierCascade *)cascade->hid_cascade; |
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