virtual void SetUp()
{
devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
img = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
}
virtual void SetUp()
{
devInfo = std::tr1::get<0>(GetParam());
type = std::tr1::get<1>(GetParam());
cv::gpu::setDevice(devInfo.deviceID());
cv::RNG& rng = cvtest::TS::ptr()->get_rng();
size = cv::Size(rng.uniform(100, 200), rng.uniform(100, 200));
mat1 = cvtest::randomMat(rng, size, type, 1, 16, false);
mat2 = cvtest::randomMat(rng, size, type, 1, 16, false);
}
virtual void SetUp()
{
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
img_l = readImage("stereobm/aloe-L.png", CV_LOAD_IMAGE_GRAYSCALE);
img_r = readImage("stereobm/aloe-R.png", CV_LOAD_IMAGE_GRAYSCALE);
img_template = readImage("stereobm/aloe-disp.png", CV_LOAD_IMAGE_GRAYSCALE);
ASSERT_FALSE(img_l.empty());
ASSERT_FALSE(img_r.empty());
ASSERT_FALSE(img_template.empty());
}
GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, cv::Size, DoSort)
{
declare.time(30.0);
const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
const cv::Size size = GET_PARAM(1);
const bool doSort = GET_PARAM(2);
const float rho = 1.0f;
const float theta = CV_PI / 180.0f;
const int threshold = 300;
cv::RNG rng(123456789);
cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));
const int numLines = rng.uniform(500, 2000);
for (int i = 0; i < numLines; ++i)
{
cv::Point p1(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
cv::Point p2(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
cv::line(src, p1, p2, cv::Scalar::all(255), 2);
}
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_lines;
cv::gpu::GpuMat d_accum;
cv::gpu::GpuMat d_buf;
cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);
TEST_CYCLE()
{
cv::gpu::HoughLines(d_src, d_lines, d_accum, d_buf, rho, theta, threshold, doSort);
}
}
virtual void SetUp()
{
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
image = readImage("features2d/aloe.png", CV_LOAD_IMAGE_GRAYSCALE);
ASSERT_FALSE(image.empty());
mask = cv::Mat(image.size(), CV_8UC1, cv::Scalar::all(1));
mask(cv::Range(0, image.rows / 2), cv::Range(0, image.cols / 2)).setTo(cv::Scalar::all(0));
cv::SURF fdetector_gold; fdetector_gold.extended = false;
fdetector_gold(image, mask, keypoints_gold, descriptors_gold);
}
virtual void SetUp()
{
devInfo = std::tr1::get<0>(GetParam());
type = std::tr1::get<1>(GetParam());
cv::gpu::setDevice(devInfo.deviceID());
cv::RNG& rng = cvtest::TS::ptr()->get_rng();
size = cv::Size(rng.uniform(20, 150), rng.uniform(20, 150));
int depth = CV_MAT_DEPTH(type);
int num_channels = CV_MAT_CN(type);
src.reserve(num_channels);
for (int i = 0; i < num_channels; ++i)
src.push_back(cv::Mat(size, depth, cv::Scalar::all(i)));
cv::merge(src, dst_gold);
}
virtual void SetUp()
{
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
}
bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature)
{
return cv::gpu::TargetArchs::builtWith(feature) && info.supports(feature);
}