added performance test fot CCL

modules/gpu/perf/perf_labeling.cpp

+/*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) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2008-2011, Willow Garage 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:
+//
+//  * Redistributions of source code must retain the above copyright notice,
+//    this list of conditions and the following disclaimer.
+//
+//  * Redistributions 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.
+//
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+// 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,
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+// (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,
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+// the use of this software, even if advised of the possibility of such damage.
+//M*/
+
+#include "perf_precomp.hpp"
+
+#ifdef HAVE_CUDA
+
+GPU_PERF_TEST(ConnectedComponents, cv::gpu::DeviceInfo, cv::Size)
+{
+    cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
+    cv::gpu::setDevice(devInfo.deviceID());
+
+    cv::Mat image = readImage("gpu/labeling/label.png", cv::IMREAD_GRAYSCALE);
+
+    cv::gpu::GpuMat mask;
+    mask.create(image.rows, image.cols, CV_8UC1);
+
+    cv::gpu::GpuMat components;
+    components.create(image.rows, image.cols, CV_32SC1);
+
+    cv::gpu::connectivityMask(cv::gpu::GpuMat(image), mask, cv::Scalar::all(0), cv::Scalar::all(2));
+
+    ASSERT_NO_THROW(cv::gpu::labelComponents(mask, components));
+
+    declare.time(1.0);
+
+    TEST_CYCLE()
+    {
+        cv::gpu::labelComponents(mask, components);
+    }
+}
+
+INSTANTIATE_TEST_CASE_P(Labeling, ConnectedComponents, testing::Combine(ALL_DEVICES, testing::Values(cv::Size(261, 262))));
+
+#endif
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