Added performance for Kalman Filter.

modules/ocl/perf/perf_kalman.cpp

@@ -0,0 +1,94 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//    Fangfang Bai, fangfang@multicorewareinc.com
+//    Jin Ma,       jin@multicorewareinc.com
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other oclMaterials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors as is and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+#include "perf_precomp.hpp"
+using namespace perf;
+using namespace std;
+using namespace cv::ocl;
+using namespace cv;
+using std::tr1::tuple;
+using std::tr1::get;
+///////////// Kalman Filter ////////////////////////
+
+typedef tuple<int> KalmanFilterType;
+typedef TestBaseWithParam<KalmanFilterType> KalmanFilterFixture;
+
+PERF_TEST_P(KalmanFilterFixture, KalmanFilter,
+            ::testing::Values(1000, 1500))
+{
+    KalmanFilterType params = GetParam();
+    const int dim = get<0>(params);
+
+    cv::Mat sample(dim, 1, CV_32FC1), dresult;
+    randu(sample, -1, 1);
+    cv::ocl::oclMat dsample(sample);
+
+    cv::Mat statePre_;
+
+    if(RUN_PLAIN_IMPL)
+    {
+        TEST_CYCLE()
+        {
+            cv::KalmanFilter kalman;
+            kalman.init(dim, dim);
+            kalman.correct(sample);
+            kalman.predict();
+            statePre_ = kalman.statePre;
+        }
+        SANITY_CHECK(statePre_);
+    }else if(RUN_OCL_IMPL)
+    {
+        OCL_TEST_CYCLE()
+        {
+            cv::ocl::KalmanFilter kalman_ocl;
+            kalman_ocl.init(dim, dim); 
+            kalman_ocl.correct(dsample);
+            kalman_ocl.predict();
+            kalman_ocl.statePre.download(statePre_);
+        }
+        SANITY_CHECK(statePre_);
+    }else
+        OCL_PERF_ELSE
+}