From: perping <erping@multicorewareinc.com>
Date: Tue, 12 Nov 2013 09:54:03 +0000 (+0800)
Subject: fix haar
X-Git-Tag: accepted/tizen/ivi/20140515.103456~1^2~277^2~3
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=dee584ee152e25df476878be801b15b4236d3204;p=profile%2Fivi%2Fopencv.git

fix haar
---

diff --git a/modules/ocl/include/opencv2/ocl/ocl.hpp b/modules/ocl/include/opencv2/ocl/ocl.hpp
index bdf8325..b8c9b85 100644
--- a/modules/ocl/include/opencv2/ocl/ocl.hpp
+++ b/modules/ocl/include/opencv2/ocl/ocl.hpp
@@ -939,7 +939,7 @@ namespace cv
             Size m_maxSize;
             vector<CvSize> sizev;
             vector<float> scalev;
-            oclMat gimg1, gsum, gsqsum;
+            oclMat gimg1, gsum, gsqsum, gsqsum_t;
             void * buffers;
         };
 
diff --git a/modules/ocl/src/haar.cpp b/modules/ocl/src/haar.cpp
index ff0c007..db3dd46 100644
--- a/modules/ocl/src/haar.cpp
+++ b/modules/ocl/src/haar.cpp
@@ -747,6 +747,15 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
         oclMat gsum(totalheight + 4, gimg.cols + 1, CV_32SC1);
         oclMat gsqsum(totalheight + 4, gimg.cols + 1, CV_32FC1);
 
+        int sdepth = 0;
+        if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
+            sdepth = CV_64FC1;
+        else
+            sdepth = CV_32FC1;
+        sdepth = CV_MAT_DEPTH(sdepth);
+        int type = CV_MAKE_TYPE(sdepth, 1);
+        oclMat gsqsum_t(totalheight + 4, gimg.cols + 1, type);
+
         cl_mem stagebuffer;
         cl_mem nodebuffer;
         cl_mem candidatebuffer;
@@ -754,15 +763,7 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
         cv::Rect roi, roi2;
         cv::Mat imgroi, imgroisq;
         cv::ocl::oclMat resizeroi, gimgroi, gimgroisq;
-        int sdepth = 0;
-        if(gsqsum.clCxt->supportsFeature(ocl::FEATURE_CL_DOUBLE))
-            sdepth = CV_64FC1;
-        else
-            sdepth = CV_32FC1;
-        sdepth = CV_MAT_DEPTH(sdepth);
-        int type = CV_MAKE_TYPE(sdepth, 1);
 
-        cv::ocl::oclMat gsqsum_t(gsqsum.size(), type);
         int grp_per_CU = 12;
 
         size_t blocksize = 8;
@@ -799,7 +800,10 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
 
             indexy += sz.height;
         }
-        gsqsum_t.convertTo(gsqsum, CV_32FC1);
+        if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
+            gsqsum_t.convertTo(gsqsum, CV_32FC1);
+        else
+            gsqsum = gsqsum_t;
 
         gcascade   = (GpuHidHaarClassifierCascade *)cascade->hid_cascade;
         stage      = (GpuHidHaarStageClassifier *)(gcascade + 1);
@@ -1007,7 +1011,7 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
         int n_factors = 0;
         oclMat gsum;
         oclMat gsqsum;
-        cv::ocl::oclMat gsqsum_t;
+        oclMat gsqsum_t;
         cv::ocl::integral(gimg, gsum, gsqsum_t);
         gsqsum_t.convertTo(gsqsum, CV_32FC1);
         CvSize sz;
@@ -1277,14 +1281,6 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std
 
         cv::Rect roi, roi2;
         cv::ocl::oclMat resizeroi, gimgroi, gimgroisq;
-        if(gsqsum.clCxt->supportsFeature(ocl::FEATURE_CL_DOUBLE))
-            sdepth = CV_64FC1;
-        else
-            sdepth = CV_32FC1;
-        sdepth = CV_MAT_DEPTH(sdepth);
-        int type = CV_MAKE_TYPE(sdepth, 1);
-
-        cv::ocl::oclMat gsqsum_t(gsqsum.size(), type);
 
         for( int i = 0; i < m_loopcount; i++ )
         {
@@ -1299,7 +1295,11 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std
             cv::ocl::integral(resizeroi, gimgroi, gimgroisq);
             indexy += sz.height;
         }
-        gsqsum_t.convertTo(gsqsum, CV_32FC1);
+        if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
+            gsqsum_t.convertTo(gsqsum, CV_32FC1);
+        else
+            gsqsum = gsqsum_t;
+
         gcascade   = (GpuHidHaarClassifierCascade *)(cascade->hid_cascade);
         stage      = (GpuHidHaarStageClassifier *)(gcascade + 1);
 
@@ -1360,9 +1360,11 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std
     }
     else
     {
-        cv::ocl::oclMat gsqsum_t;
         cv::ocl::integral(gimg, gsum, gsqsum_t);
-        gsqsum_t.convertTo(gsqsum, CV_32FC1);
+        if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
+            gsqsum_t.convertTo(gsqsum, CV_32FC1);
+        else
+            gsqsum = gsqsum_t;
 
         gcascade   = (GpuHidHaarClassifierCascade *)cascade->hid_cascade;
 
@@ -1588,6 +1590,7 @@ void cv::ocl::OclCascadeClassifierBuf::CreateFactorRelatedBufs(
             gimg1.release();
             gsum.release();
             gsqsum.release();
+            gsqsum_t.release();
         }
         else if (!(m_flags & CV_HAAR_SCALE_IMAGE) && (flags & CV_HAAR_SCALE_IMAGE))
         {
@@ -1662,6 +1665,16 @@ void cv::ocl::OclCascadeClassifierBuf::CreateFactorRelatedBufs(
         gsum.create(totalheight + 4, cols + 1, CV_32SC1);
         gsqsum.create(totalheight + 4, cols + 1, CV_32FC1);
 
+        int sdepth = 0;
+        if(Context::getContext()->supportsFeature(FEATURE_CL_DOUBLE))
+            sdepth = CV_64FC1;
+        else
+            sdepth = CV_32FC1;
+        sdepth = CV_MAT_DEPTH(sdepth);
+        int type = CV_MAKE_TYPE(sdepth, 1);
+
+        gsqsum_t.create(totalheight + 4, cols + 1, type);
+
         scaleinfo = (detect_piramid_info *)malloc(sizeof(detect_piramid_info) * loopcount);
         for( int i = 0; i < loopcount; i++ )
         {