diff --git a/main.cpp b/main.cpp index 018a74e..4932fb2 100644 --- a/main.cpp +++ b/main.cpp @@ -1,59 +1,82 @@ #include "grayMatch.h" +#include #include #include int main() { - auto src = - cv::imread("C:/Users/qiuyong/Desktop/test/template/model3.bmp", cv::IMREAD_GRAYSCALE); + // 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); + cv::imread("C:/Users/qiuyong/Desktop/test/template/model3_src2.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(); + const std::string modelName("model.bin"); + /*{ + 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 buffer(size); - serialize(model, buffer.data(), &size); + int size; + serialize(model, nullptr, &size); + std::vector buffer(size); + serialize(model, buffer.data(), &size); - freeModel(&model); + std::ofstream ofs(modelName, std::ios::binary | std::ios::out); + if (!ofs.is_open()) { + return -1; + } + ofs.write((const char *)buffer.data(), size); - model = deserialize(buffer.data(), int(buffer.size())); + freeModel(&model); + + auto trainCost = double(t1 - t0) / cv::getTickFrequency(); + std::cout << "train(s):" << trainCost << std::endl; + }*/ int num = 70; std::vector poses(num); + { + std::ifstream ifs(modelName, std::ios::binary | std::ios::in); + if (!ifs.is_open()) { + return -2; + } + ifs.seekg(0, std::ios::end); + auto size = ifs.tellg(); + ifs.seekg(0, std::ios::beg); + std::vector buffer(size); + ifs.read((char *)buffer.data(), size); - 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 model = deserialize(buffer.data(), int(buffer.size())); - auto trainCost = double(t1 - t0) / cv::getTickFrequency(); - auto matchCost = double(t3 - t2) / cv::getTickFrequency(); - std::cout << "train(s):" << trainCost << " match(s):" << matchCost << std::endl; + 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(), 3, 0, 360, 0, 0.5, 1); + auto t3 = cv::getTickCount(); - cv::Mat color; - cv::cvtColor(dst, color, cv::COLOR_GRAY2RGB); + auto matchCost = double(t3 - t2) / cv::getTickFrequency(); + std::cout << "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); + 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(); + // cv::imshow("img", color); + // cv::waitKey(); return 0; }