Files
gray_match/main.cpp
2024-08-30 20:57:12 +08:00

60 lines
2.0 KiB
C++

#include "grayMatch.h"
#include <iostream>
#include <opencv2/opencv.hpp>
int main() {
auto src =
cv::imread("C:/Users/qiuyong/Desktop/test/template/model3.bmp", cv::IMREAD_GRAYSCALE);
auto dst =
cv::imread("C:/Users/qiuyong/Desktop/test/template/model3_src1.bmp", cv::IMREAD_GRAYSCALE);
auto t0 = cv::getTickCount();
auto model = trainModel(src.data, src.cols, src.rows, src.channels(), int(src.step), 0, 0,
src.cols, src.rows, -1);
auto t1 = cv::getTickCount();
int size;
serialize(model, nullptr, &size);
std::vector<uchar> buffer(size);
serialize(model, buffer.data(), &size);
freeModel(&model);
model = deserialize(buffer.data(), int(buffer.size()));
int num = 70;
std::vector<Pose> poses(num);
auto t2 = cv::getTickCount();
matchModel(dst.data, dst.cols, dst.rows, dst.channels(), int(dst.step), 0, 0, dst.cols,
dst.rows, model, &num, poses.data(), -1, 0, 360, 0, 0.5, 1);
auto t3 = cv::getTickCount();
auto trainCost = double(t1 - t0) / cv::getTickFrequency();
auto matchCost = double(t3 - t2) / cv::getTickFrequency();
std::cout << "train(s):" << trainCost << " match(s):" << matchCost << std::endl;
cv::Mat color;
cv::cvtColor(dst, color, cv::COLOR_GRAY2RGB);
for (int i = 0; i < num; i++) {
auto &pose = poses[ i ];
cv::RotatedRect rect(cv::Point2f(pose.x, pose.y), src.size(), -pose.angle);
cv::Point2f pts[ 4 ];
rect.points(pts);
cv::line(color, pts[ 0 ], pts[ 1 ], cv::Scalar(255, 0, 0), 1, cv::LINE_AA);
cv::line(color, pts[ 1 ], pts[ 2 ], cv::Scalar(255, 0, 0), 1, cv::LINE_AA);
cv::line(color, pts[ 2 ], pts[ 3 ], cv::Scalar(255, 0, 0), 1, cv::LINE_AA);
cv::line(color, pts[ 3 ], pts[ 0 ], cv::Scalar(255, 0, 0), 1, cv::LINE_AA);
std::cout << pose.x << "," << pose.y << "," << pose.angle << "," << pose.score << std::endl;
}
cv::imshow("img", color);
cv::waitKey();
return 0;
}