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d231b4e362
Remove goturn caffe model #25503 **Merged with:** https://github.com/opencv/opencv_extra/pull/1174 **Merged with:** https://github.com/opencv/opencv_contrib/pull/3729 Part of https://github.com/opencv/opencv/issues/25314 This PR aims to remove goturn tracking model because Caffe importer will be remove in 5.0 The GOTURN model will take **388 MB** of traffic for each download if converted to onnx. If the user wants to use the tracking method, we can recommend they use Vit or dasimRPN. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
94 lines
2.6 KiB
C++
94 lines
2.6 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "perf_precomp.hpp"
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namespace opencv_test { namespace {
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using namespace perf;
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typedef tuple<string, int, Rect> TrackingParams_t;
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std::vector<TrackingParams_t> getTrackingParams()
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{
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std::vector<TrackingParams_t> params {
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TrackingParams_t("david/data/david.webm", 300, Rect(163,62,47,56)),
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TrackingParams_t("dudek/data/dudek.webm", 1, Rect(123,87,132,176)),
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TrackingParams_t("faceocc2/data/faceocc2.webm", 1, Rect(118,57,82,98))
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};
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return params;
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}
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class Tracking : public perf::TestBaseWithParam<TrackingParams_t>
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{
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public:
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template<typename ROI_t = Rect2d, typename Tracker>
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void runTrackingTest(const Ptr<Tracker>& tracker, const TrackingParams_t& params);
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};
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template<typename ROI_t, typename Tracker>
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void Tracking::runTrackingTest(const Ptr<Tracker>& tracker, const TrackingParams_t& params)
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{
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const int N = 10;
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string video = get<0>(params);
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int startFrame = get<1>(params);
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//int endFrame = startFrame + N;
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Rect boundingBox = get<2>(params);
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string videoPath = findDataFile(std::string("cv/tracking/") + video);
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VideoCapture c;
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c.open(videoPath);
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if (!c.isOpened())
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throw SkipTestException("Can't open video file");
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#if 0
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// c.set(CAP_PROP_POS_FRAMES, startFrame);
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#else
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if (startFrame)
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std::cout << "startFrame = " << startFrame << std::endl;
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for (int i = 0; i < startFrame; i++)
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{
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Mat dummy_frame;
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c >> dummy_frame;
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ASSERT_FALSE(dummy_frame.empty()) << i << ": " << videoPath;
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}
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#endif
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// decode frames into memory (don't measure decoding performance)
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std::vector<Mat> frames;
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for (int i = 0; i < N; ++i)
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{
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Mat frame;
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c >> frame;
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ASSERT_FALSE(frame.empty()) << "i=" << i;
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frames.push_back(frame);
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}
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std::cout << "frame size = " << frames[0].size() << std::endl;
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PERF_SAMPLE_BEGIN();
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{
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tracker->init(frames[0], (ROI_t)boundingBox);
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for (int i = 1; i < N; ++i)
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{
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ROI_t rc;
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tracker->update(frames[i], rc);
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ASSERT_FALSE(rc.empty());
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}
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}
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PERF_SAMPLE_END();
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SANITY_CHECK_NOTHING();
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}
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//==================================================================================================
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PERF_TEST_P(Tracking, MIL, testing::ValuesIn(getTrackingParams()))
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{
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auto tracker = TrackerMIL::create();
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runTrackingTest<Rect>(tracker, GetParam());
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}
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}} // namespace
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