OpenCV_4.2.0/opencv_contrib-4.2.0/modules/face/test/test_loadsave.cpp

85 lines
3.3 KiB
C++

/*
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#include "test_precomp.hpp"
namespace opencv_test { namespace {
// regression for #1267
// let's make sure, that both Algorithm::save(String) and
// FaceRecognizer::write(String) lead to the same result
void make_test_data(std::vector<cv::Mat> &images, std::vector<int> &labels) {
for (int i=0; i<5; i++) {
cv::Mat m(100,100,CV_8U);
cv::randu(m,0,255);
images.push_back(m);
labels.push_back(i);
}
}
TEST(CV_Face_SAVELOAD, use_save) {
std::vector<cv::Mat> images;
std::vector<int> labels;
make_test_data(images, labels);
cv::Ptr<cv::face::FaceRecognizer> model1 = cv::face::LBPHFaceRecognizer::create();
model1->train(images,labels);
model1->save("fr.xml");
int p1 = model1->predict(images[2]);
cv::Ptr<cv::face::FaceRecognizer> model2 = cv::face::LBPHFaceRecognizer::create();
model2->read("fr.xml");
EXPECT_EQ(model2->empty(), false);
EXPECT_EQ(p1, model2->predict(images[2]));
}
TEST(CV_Face_SAVELOAD, use_write) {
std::vector<cv::Mat> images;
std::vector<int> labels;
make_test_data(images, labels);
cv::Ptr<cv::face::FaceRecognizer> model1 = cv::face::LBPHFaceRecognizer::create();
model1->train(images,labels);
model1->write("fr.xml");
int p1 = model1->predict(images[2]);
cv::Ptr<cv::face::FaceRecognizer> model2 = cv::face::LBPHFaceRecognizer::create();
model2->read("fr.xml");
EXPECT_EQ(model2->empty(), false);
EXPECT_EQ(p1, model2->predict(images[2]));
}
}} // namespace