performance tests for FAST

modules/features2d/perf/opencl/perf_fast.cpp

@@ -0,0 +1,50 @@
+#include "perf_precomp.hpp"
+#include "opencv2/ts/ocl_perf.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+enum { TYPE_5_8 =FastFeatureDetector::TYPE_5_8, TYPE_7_12 = FastFeatureDetector::TYPE_7_12, TYPE_9_16 = FastFeatureDetector::TYPE_9_16 };
+CV_ENUM(FastType, TYPE_5_8, TYPE_7_12)
+
+typedef std::tr1::tuple<string, FastType> File_Type_t;
+typedef TestBaseWithParam<File_Type_t> FASTFixture;
+
+#define FAST_IMAGES \
+    "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
+    "stitching/a3.png"
+
+OCL_PERF_TEST_P(FASTFixture, FastDetect, testing::Combine(
+                            testing::Values(FAST_IMAGES),
+                            FastType::all()
+                          ))
+{
+    string filename = getDataPath(get<0>(GetParam()));
+    int type = get<1>(GetParam());
+    Mat mframe = imread(filename, IMREAD_GRAYSCALE);
+
+    if (mframe.empty())
+        FAIL() << "Unable to load source image " << filename;
+
+    UMat frame;
+    mframe.copyTo(frame);
+    declare.in(frame);
+
+    Ptr<FeatureDetector> fd = Algorithm::create<FeatureDetector>("Feature2D.FAST");
+    ASSERT_FALSE( fd.empty() );
+    fd->set("threshold", 20);
+    fd->set("nonmaxSuppression", true);
+    fd->set("type", type);
+    vector<KeyPoint> points;
+
+    OCL_TEST_CYCLE() fd->detect(frame, points);
+
+    SANITY_CHECK_KEYPOINTS(points);
+}
+
+} // ocl
+} // cvtest
+
+#endif // HAVE_OPENCL