fix some bug about haar and match_template.

diff --git a/modules/ocl/perf/perf_match_template.cpp b/modules/ocl/perf/perf_match_template.cpp
index d6f7fe0..3ee038a 100644 (file)
--- a/modules/ocl/perf/perf_match_template.cpp
+++ b/modules/ocl/perf/perf_match_template.cpp
@@ -108,13 +108,13 @@ PERF_TEST_P(CV_TM_CCORR_NORMEDFixture, matchTemplate, OCL_TYPICAL_MAT_SIZES)
 
         oclDst.download(dst);
 
-        SANITY_CHECK(dst, 2e-2);
+        SANITY_CHECK(dst, 3e-2);
     }
     else if (RUN_PLAIN_IMPL)
     {
         TEST_CYCLE() cv::matchTemplate(src, templ, dst, CV_TM_CCORR_NORMED);
 
-        SANITY_CHECK(dst, 2e-2);
+        SANITY_CHECK(dst, 3e-2);
     }
     else
         OCL_PERF_ELSE

diff --git a/modules/ocl/src/haar.cpp b/modules/ocl/src/haar.cpp
index b79ec0f..ff0c007 100644 (file)
--- a/modules/ocl/src/haar.cpp
+++ b/modules/ocl/src/haar.cpp
@@ -754,6 +754,15 @@ 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;
@@ -773,7 +782,7 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
             roi2 = Rect(0, 0, sz.width - 1, sz.height - 1);
             resizeroi = gimg1(roi2);
             gimgroi = gsum(roi);
-            gimgroisq = gsqsum(roi);
+            gimgroisq = gsqsum_t(roi);
             int width = gimgroi.cols - 1 - cascade->orig_window_size.width;
             int height = gimgroi.rows - 1 - cascade->orig_window_size.height;
             scaleinfo[i].width_height = (width << 16) | height;
@@ -787,8 +796,10 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
             scaleinfo[i].factor = factor;
             cv::ocl::resize(gimg, resizeroi, Size(sz.width - 1, sz.height - 1), 0, 0, INTER_LINEAR);
             cv::ocl::integral(resizeroi, gimgroi, gimgroisq);
+
             indexy += sz.height;
         }
+        gsqsum_t.convertTo(gsqsum, CV_32FC1);
 
         gcascade   = (GpuHidHaarClassifierCascade *)cascade->hid_cascade;
         stage      = (GpuHidHaarStageClassifier *)(gcascade + 1);
@@ -996,7 +1007,9 @@ CvSeq *cv::ocl::OclCascadeClassifier::oclHaarDetectObjects( oclMat &gimg, CvMemS
         int n_factors = 0;
         oclMat gsum;
         oclMat gsqsum;
-        cv::ocl::integral(gimg, gsum, gsqsum);
+        cv::ocl::oclMat gsqsum_t;
+        cv::ocl::integral(gimg, gsum, gsqsum_t);
+        gsqsum_t.convertTo(gsqsum, CV_32FC1);
         CvSize sz;
         vector<CvSize> sizev;
         vector<float> scalev;
@@ -1259,10 +1272,19 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std
     if( (flags & CV_HAAR_SCALE_IMAGE) )
     {
         int indexy = 0;
+        int sdepth = 0;
         CvSize sz;
 
         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++ )
         {
@@ -1271,13 +1293,13 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std
             roi2 = Rect(0, 0, sz.width - 1, sz.height - 1);
             resizeroi = gimg1(roi2);
             gimgroi = gsum(roi);
-            gimgroisq = gsqsum(roi);
+            gimgroisq = gsqsum_t(roi);
 
             cv::ocl::resize(gimg, resizeroi, Size(sz.width - 1, sz.height - 1), 0, 0, INTER_LINEAR);
             cv::ocl::integral(resizeroi, gimgroi, gimgroisq);
             indexy += sz.height;
         }
-
+        gsqsum_t.convertTo(gsqsum, CV_32FC1);
         gcascade   = (GpuHidHaarClassifierCascade *)(cascade->hid_cascade);
         stage      = (GpuHidHaarStageClassifier *)(gcascade + 1);
 
@@ -1338,7 +1360,9 @@ void cv::ocl::OclCascadeClassifierBuf::detectMultiScale(oclMat &gimg, CV_OUT std
     }
     else
     {
-        cv::ocl::integral(gimg, gsum, gsqsum);
+        cv::ocl::oclMat gsqsum_t;
+        cv::ocl::integral(gimg, gsum, gsqsum_t);
+        gsqsum_t.convertTo(gsqsum, CV_32FC1);
 
         gcascade   = (GpuHidHaarClassifierCascade *)cascade->hid_cascade;
 

diff --git a/modules/ocl/src/match_template.cpp b/modules/ocl/src/match_template.cpp
index afd68ff..d18bacc 100644 (file)
--- a/modules/ocl/src/match_template.cpp
+++ b/modules/ocl/src/match_template.cpp
@@ -245,12 +245,12 @@ namespace cv
         void matchTemplate_CCORR_NORMED(
             const oclMat &image, const oclMat &templ, oclMat &result, MatchTemplateBuf &buf)
         {
+            cv::ocl::oclMat temp;
             matchTemplate_CCORR(image, templ, result, buf);
             buf.image_sums.resize(1);
             buf.image_sqsums.resize(1);
-
-            integral(image.reshape(1), buf.image_sums[0], buf.image_sqsums[0]);
-
+            integral(image.reshape(1), buf.image_sums[0], temp);
+            temp.convertTo(buf.image_sqsums[0], CV_32FC1);
             unsigned long long templ_sqsum = (unsigned long long)sqrSum(templ.reshape(1))[0];
 
             Context *clCxt = image.clCxt;