Repository for OpenCV's extra modules
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/*
* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
typedef std::tuple<cv::Size, MatType, int /*iterations*/, float /*epsilon*/, Size /*winSize*/> MeanShiftTestParams;
class MeanShiftTest : public ::testing::TestWithParam<MeanShiftTestParams> {};
TEST_P(MeanShiftTest, accuracy)
{
auto p = GetParam();
cv::Size size = std::get<0>(p);
MatType type = std::get<1>(p);
int iters = std::get<2>(p);
float eps = std::get<3>(p);
Size winSize = std::get<4>(p);
RNG& rng = cv::theRNG();
const int nPts = 20;
Mat ptsMap(size, CV_8UC1, Scalar(255));
for(size_t i = 0; i < nPts; ++i)
{
ptsMap.at<uchar>(rng() % size.height, rng() % size.width) = 0;
}
Mat distTrans(size, CV_8UC1);
cv::distanceTransform(ptsMap, distTrans, DIST_L2, DIST_MASK_PRECISE);
Mat vsrc = 255 - distTrans;
Mat src;
vsrc.convertTo(src, type);
Point startPt(rng() % (size.width - winSize.width),
rng() % (size.height - winSize.height));
Rect startRect(startPt, winSize);
cv::TermCriteria termCrit( TermCriteria::EPS + TermCriteria::MAX_ITER, iters, eps);
Rect window = startRect;
cv::fastcv::meanShift(src, window, termCrit);
Rect windowRef = startRect;
cv::meanShift(vsrc, windowRef, termCrit);
if (cvtest::debugLevel > 0)
{
Mat draw;
cvtColor(vsrc, draw, COLOR_GRAY2RGB);
cv::rectangle(draw, startRect, Scalar(0, 0, 255));
cv::rectangle(draw, window, Scalar(255, 255, 0));
cv::rectangle(draw, windowRef, Scalar(0, 255, 0));
std::string stype = (type == CV_8U ? "8U" : (type == CV_32S ? "32S" : (type == CV_32F ? "F" : "?")));
cv::imwrite(cv::format("src_%dx%d_%s_%dit_%feps_%dx%d.png", size.width, size.height, stype.c_str(),
iters, eps, winSize.width, winSize.height),
draw);
}
cv::Point diff = (window.tl() - windowRef.tl());
double dist = std::sqrt(diff.ddot(diff));
EXPECT_LE(dist, 3.0);
}
INSTANTIATE_TEST_CASE_P(FastCV_Extension, MeanShiftTest,
::testing::Combine(::testing::Values(Size(128, 128), Size(640, 480), Size(800, 600)),
::testing::Values(CV_8U, CV_32S, CV_32F), // type
::testing::Values(2, 10, 100), // nIterations
::testing::Values(0.01f, 0.1f, 1.f, 10.f), // epsilon
::testing::Values(Size(8, 8), Size(13, 48), Size(64, 64)) // window size
));
}} // namespaces opencv_test, ::