deepin-ocr/3rdparty/opencv-4.5.4/modules/video/perf/perf_trackers.cpp
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试
2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程
3.重整权利声明文件,重整代码工程,确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

105 lines
3.0 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"
namespace opencv_test { namespace {
using namespace perf;
typedef tuple<string, int, Rect> TrackingParams_t;
std::vector<TrackingParams_t> getTrackingParams()
{
std::vector<TrackingParams_t> params {
TrackingParams_t("david/data/david.webm", 300, Rect(163,62,47,56)),
TrackingParams_t("dudek/data/dudek.webm", 1, Rect(123,87,132,176)),
TrackingParams_t("faceocc2/data/faceocc2.webm", 1, Rect(118,57,82,98))
};
return params;
}
class Tracking : public perf::TestBaseWithParam<TrackingParams_t>
{
public:
template<typename ROI_t = Rect2d, typename Tracker>
void runTrackingTest(const Ptr<Tracker>& tracker, const TrackingParams_t& params);
};
template<typename ROI_t, typename Tracker>
void Tracking::runTrackingTest(const Ptr<Tracker>& tracker, const TrackingParams_t& params)
{
const int N = 10;
string video = get<0>(params);
int startFrame = get<1>(params);
//int endFrame = startFrame + N;
Rect boundingBox = get<2>(params);
string videoPath = findDataFile(std::string("cv/tracking/") + video);
VideoCapture c;
c.open(videoPath);
if (!c.isOpened())
throw SkipTestException("Can't open video file");
#if 0
// c.set(CAP_PROP_POS_FRAMES, startFrame);
#else
if (startFrame)
std::cout << "startFrame = " << startFrame << std::endl;
for (int i = 0; i < startFrame; i++)
{
Mat dummy_frame;
c >> dummy_frame;
ASSERT_FALSE(dummy_frame.empty()) << i << ": " << videoPath;
}
#endif
// decode frames into memory (don't measure decoding performance)
std::vector<Mat> frames;
for (int i = 0; i < N; ++i)
{
Mat frame;
c >> frame;
ASSERT_FALSE(frame.empty()) << "i=" << i;
frames.push_back(frame);
}
std::cout << "frame size = " << frames[0].size() << std::endl;
PERF_SAMPLE_BEGIN();
{
tracker->init(frames[0], (ROI_t)boundingBox);
for (int i = 1; i < N; ++i)
{
ROI_t rc;
tracker->update(frames[i], rc);
ASSERT_FALSE(rc.empty());
}
}
PERF_SAMPLE_END();
SANITY_CHECK_NOTHING();
}
//==================================================================================================
PERF_TEST_P(Tracking, MIL, testing::ValuesIn(getTrackingParams()))
{
auto tracker = TrackerMIL::create();
runTrackingTest<Rect>(tracker, GetParam());
}
PERF_TEST_P(Tracking, GOTURN, testing::ValuesIn(getTrackingParams()))
{
std::string model = cvtest::findDataFile("dnn/gsoc2016-goturn/goturn.prototxt");
std::string weights = cvtest::findDataFile("dnn/gsoc2016-goturn/goturn.caffemodel", false);
TrackerGOTURN::Params params;
params.modelTxt = model;
params.modelBin = weights;
auto tracker = TrackerGOTURN::create(params);
runTrackingTest<Rect>(tracker, GetParam());
}
}} // namespace