f4334277
 Hu Chunming
提交3rdparty
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// 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 "test_precomp.hpp"
//#define DEBUG_TEST
#ifdef DEBUG_TEST
#include <opencv2/highgui.hpp>
#endif
namespace opencv_test { namespace {
//using namespace cv::tracking;
#define TESTSET_NAMES testing::Values("david", "dudek", "faceocc2")
const string TRACKING_DIR = "tracking";
const string FOLDER_IMG = "data";
const string FOLDER_OMIT_INIT = "initOmit";
#include "test_trackers.impl.hpp"
//[TESTDATA]
PARAM_TEST_CASE(DistanceAndOverlap, string)
{
string dataset;
virtual void SetUp()
{
dataset = GET_PARAM(0);
}
};
TEST_P(DistanceAndOverlap, MIL)
{
TrackerTest<Tracker, Rect> test(TrackerMIL::create(), dataset, 30, .65f, NoTransform);
test.run();
}
TEST_P(DistanceAndOverlap, Shifted_Data_MIL)
{
TrackerTest<Tracker, Rect> test(TrackerMIL::create(), dataset, 30, .6f, CenterShiftLeft);
test.run();
}
/***************************************************************************************/
//Tests with scaled initial window
TEST_P(DistanceAndOverlap, Scaled_Data_MIL)
{
TrackerTest<Tracker, Rect> test(TrackerMIL::create(), dataset, 30, .7f, Scale_1_1);
test.run();
}
TEST_P(DistanceAndOverlap, GOTURN)
{
std::string model = cvtest::findDataFile("dnn/gsoc2016-goturn/goturn.prototxt");
std::string weights = cvtest::findDataFile("dnn/gsoc2016-goturn/goturn.caffemodel", false);
cv::TrackerGOTURN::Params params;
params.modelTxt = model;
params.modelBin = weights;
TrackerTest<Tracker, Rect> test(TrackerGOTURN::create(params), dataset, 35, .35f, NoTransform);
test.run();
}
INSTANTIATE_TEST_CASE_P(Tracking, DistanceAndOverlap, TESTSET_NAMES);
TEST(GOTURN, memory_usage)
{
cv::Rect roi(145, 70, 85, 85);
std::string model = cvtest::findDataFile("dnn/gsoc2016-goturn/goturn.prototxt");
std::string weights = cvtest::findDataFile("dnn/gsoc2016-goturn/goturn.caffemodel", false);
cv::TrackerGOTURN::Params params;
params.modelTxt = model;
params.modelBin = weights;
cv::Ptr<Tracker> tracker = TrackerGOTURN::create(params);
string inputVideo = cvtest::findDataFile("tracking/david/data/david.webm");
cv::VideoCapture video(inputVideo);
ASSERT_TRUE(video.isOpened()) << inputVideo;
cv::Mat frame;
video >> frame;
ASSERT_FALSE(frame.empty()) << inputVideo;
tracker->init(frame, roi);
string ground_truth_bb;
for (int nframes = 0; nframes < 15; ++nframes)
{
std::cout << "Frame: " << nframes << std::endl;
video >> frame;
bool res = tracker->update(frame, roi);
ASSERT_TRUE(res);
std::cout << "Predicted ROI: " << roi << std::endl;
}
}
TEST(DaSiamRPN, memory_usage)
{
cv::Rect roi(145, 70, 85, 85);
std::string model = cvtest::findDataFile("dnn/onnx/models/dasiamrpn_model.onnx", false);
std::string kernel_r1 = cvtest::findDataFile("dnn/onnx/models/dasiamrpn_kernel_r1.onnx", false);
std::string kernel_cls1 = cvtest::findDataFile("dnn/onnx/models/dasiamrpn_kernel_cls1.onnx", false);
cv::TrackerDaSiamRPN::Params params;
params.model = model;
params.kernel_r1 = kernel_r1;
params.kernel_cls1 = kernel_cls1;
cv::Ptr<Tracker> tracker = TrackerDaSiamRPN::create(params);
string inputVideo = cvtest::findDataFile("tracking/david/data/david.webm");
cv::VideoCapture video(inputVideo);
ASSERT_TRUE(video.isOpened()) << inputVideo;
cv::Mat frame;
video >> frame;
ASSERT_FALSE(frame.empty()) << inputVideo;
tracker->init(frame, roi);
string ground_truth_bb;
for (int nframes = 0; nframes < 15; ++nframes)
{
std::cout << "Frame: " << nframes << std::endl;
video >> frame;
bool res = tracker->update(frame, roi);
ASSERT_TRUE(res);
std::cout << "Predicted ROI: " << roi << std::endl;
}
}
}} // namespace opencv_test::
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