ported GPU test to GTest framework

2011-02-17 14:01:28 +00:00
parent 97eaa95a1e
commit 6f788ff8db
23 changed files with 5787 additions and 5 deletions
--- a/modules/gpu/test/test_mssegmentation.cpp
+++ b/modules/gpu/test/test_mssegmentation.cpp
@@ -0,0 +1,122 @@
+/*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.
+//
+//
+//                        Intel License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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 <iostream>
+#include <string>
+#include <iosfwd>
+#include "test_precomp.hpp"
+using namespace cv;
+using namespace cv::gpu;
+using namespace std;
+
+struct CV_GpuMeanShiftSegmentationTest : public cvtest::BaseTest {
+    CV_GpuMeanShiftSegmentationTest() {}
+
+    void run(int) 
+    {
+        bool cc12_ok = TargetArchs::builtWith(FEATURE_SET_COMPUTE_12) && DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
+        if (!cc12_ok)
+        {
+            ts->printf(cvtest::TS::CONSOLE, "\nCompute capability 1.2 is required");
+            ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
+            return;
+        }
+
+        Mat img_rgb = imread(string(ts->get_data_path()) + "meanshift/cones.png");
+        if (img_rgb.empty())
+        {
+            ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
+            return;
+        }
+
+        Mat img;
+        cvtColor(img_rgb, img, CV_BGR2BGRA);
+
+
+        for (int minsize = 0; minsize < 2000; minsize = (minsize + 1) * 4)
+        {
+            stringstream path;
+            path << ts->get_data_path() << "meanshift/cones_segmented_sp10_sr10_minsize" << minsize;
+            if (TargetArchs::builtWith(FEATURE_SET_COMPUTE_20) && DeviceInfo().supports(FEATURE_SET_COMPUTE_20))
+                path << ".png";
+            else
+                path << "_CC1X.png";
+
+            Mat dst;
+            meanShiftSegmentation((GpuMat)img, dst, 10, 10, minsize);
+            Mat dst_rgb;
+            cvtColor(dst, dst_rgb, CV_BGRA2BGR);
+
+            //imwrite(path.str(), dst_rgb);
+            Mat dst_ref = imread(path.str());
+            if (dst_ref.empty())
+            {
+                ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
+                return;
+            }
+            if (CheckSimilarity(dst_rgb, dst_ref, 1e-3f) != cvtest::TS::OK)
+            {
+                ts->printf(cvtest::TS::LOG, "\ndiffers from image *minsize%d.png\n", minsize);
+                ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
+            }
+        }
+
+        ts->set_failed_test_info(cvtest::TS::OK);
+    }    
+
+    int CheckSimilarity(const Mat& m1, const Mat& m2, float max_err)
+    {
+        Mat diff;
+        cv::matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
+
+        float err = abs(diff.at<float>(0, 0) - 1.f);
+
+        if (err > max_err)
+            return cvtest::TS::FAIL_INVALID_OUTPUT;
+
+        return cvtest::TS::OK;
+    }
+
+
+};
+
+
+TEST(meanShiftSegmentation, regression) { CV_GpuMeanShiftSegmentationTest test; test.safe_run(); }