--- /dev/null
+///////////////////////////////////////////////////////////////////////////////////////
+//
+// 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, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+//
+// 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 materials 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"
+#include "opencv2/ts/ocl_perf.hpp"
+
+#include <sstream>
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+//////////////////////////// GoodFeaturesToTrack //////////////////////////
+
+typedef tuple<String, double, bool> GoodFeaturesToTrackParams;
+typedef TestBaseWithParam<GoodFeaturesToTrackParams> GoodFeaturesToTrackFixture;
+
+OCL_PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack,
+ ::testing::Combine(OCL_PERF_ENUM(String("gpu/opticalflow/rubberwhale1.png")),
+ OCL_PERF_ENUM(0.0, 3.0), Bool()))
+{
+ GoodFeaturesToTrackParams params = GetParam();
+ const String fileName = get<0>(params);
+ const double minDistance = get<1>(params), qualityLevel = 0.01;
+ const bool harrisDetector = get<2>(params);
+ const int maxCorners = 1000;
+
+ Mat img = imread(getDataPath(fileName), cv::IMREAD_GRAYSCALE);
+ ASSERT_FALSE(img.empty()) << "could not load " << fileName;
+
+ checkDeviceMaxMemoryAllocSize(img.size(), img.type());
+
+ UMat src(img.size(), img.type()), dst(1, maxCorners, CV_32FC2);
+ img.copyTo(src);
+
+ declare.in(src, WARMUP_READ).out(dst);
+
+ OCL_TEST_CYCLE() cv::goodFeaturesToTrack(src, dst, maxCorners, qualityLevel,
+ minDistance, noArray(), 3, harrisDetector, 0.04);
+
+ SANITY_CHECK(dst);
+}
+
+} } // namespace cvtest::ocl
+
+#endif
return false;
UMat counter(1, 1, CV_32SC1, Scalar::all(0)),
- corners(1, possibleCornersCount * sizeof(Corner), CV_8UC1);
+ corners(1, (int)(possibleCornersCount * sizeof(Corner)), CV_8UC1);
ocl::KernelArg eigarg = ocl::KernelArg::ReadOnlyNoSize(eig),
tmparg = ocl::KernelArg::ReadOnlyNoSize(tmp),
cornersarg = ocl::KernelArg::PtrWriteOnly(corners),
return false;
total = counter.getMat(ACCESS_READ).at<int>(0, 0);
- size_t totalb = sizeof(Corner) * total;
+ int totalb = (int)(sizeof(Corner) * total);
tmpCorners.resize(total);
Mat mcorners(1, totalb, CV_8UC1, &tmpCorners[0]);
CV_Assert( qualityLevel > 0 && minDistance >= 0 && maxCorners >= 0 );
CV_Assert( _mask.empty() || (_mask.type() == CV_8UC1 && _mask.sameSize(_image)) );
- if (ocl::useOpenCL() && _image.dims() <= 2 && _image.isUMat())
- {
- CV_Assert(ocl_goodFeaturesToTrack(_image, _corners, maxCorners, qualityLevel, minDistance,
- _mask, blockSize, useHarrisDetector, harrisK));
+ if (ocl::useOpenCL() && _image.dims() <= 2 && _image.isUMat() &&
+ ocl_goodFeaturesToTrack(_image, _corners, maxCorners, qualityLevel, minDistance,
+ _mask, blockSize, useHarrisDetector, harrisK))
return;
- }
Mat image = _image.getMat(), eig, tmp;
if( useHarrisDetector )
double mean = metrics.mean * 1000.0f / metrics.frequency;
double stddev = metrics.stddev * 1000.0f / metrics.frequency;
double percents = stddev / mean * 100.f;
- printf(" samples = %d, mean = %.2f, stddev = %.2f (%.1f%%)\n", (int)metrics.samples, mean, stddev, percents);
+ printf("[ PERFSTAT ] (samples = %d, mean = %.2f, stddev = %.2f (%.1f%%))\n", (int)metrics.samples, mean, stddev, percents);
}
else
{
\*****************************************************************************************/
namespace cv {
+void PrintTo(const String& str, ::std::ostream* os)
+{
+ *os << str;
+}
+
void PrintTo(const Size& sz, ::std::ostream* os)
{
*os << /*"Size:" << */sz.width << "x" << sz.height;