c++ - 加载关键点和工程图

我有一段代码可以计算图像的SURF关键点并将其保存到yml文件中。然后，我尝试加载该文件并在am image上绘制保存的关键点。

关键点并编写代码:

cv::Mat img_1 = cv::imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE);
detectKeypointsImage(img_1);
int minHessian = 400;
cv::SurfFeatureDetector detector(minHessian);
std::vector<cv::KeyPoint> keypoints_1;
detector.detect(img_1, keypoints_1);
cv::Mat img_keypoints_1;
drawKeypoints(img_1, keypoints_1, img_keypoints_1);
cv::FileStorage fs("keypointsVW.yml", cv::FileStorage::WRITE);
write(fs, "keypoints_1", keypoints_1);
fs.release();

为了测试是否有效，然后注释掉上面的代码块减去以下几行:

cv::Mat img_1 = cv::imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE);

cv::Mat img_keypoints_1;

然后，我使用以下代码读取关键点并将其绘制在图像上:

std::vector<cv::KeyPoint> testPoints;
cv::FileStorage fs2("keypointsVW.yml", cv::FileStorage::READ);
cv::FileNode kptFileNode = fs2["keypointsVW"];
read(kptFileNode, testPoints);
fs2.release();
drawKeypoints(img_1, testPoints, img_keypoints_1);
cv::imshow("keypoints_1", img_keypoints_1);

但是，程序启动时将显示减去所有关键点的图像。为什么会这样呢？

最佳答案

我从未使用过存储功能，但从直觉上我认为您在加载数据时错误地命名了FileNode。

我测试了这段代码，它的工作原理是:

std::vector<cv::KeyPoint> testPoints;
cv::FileStorage fs2("keypointsVW.yml", cv::FileStorage::READ);
cv::FileNode kptFileNode = fs2["keypoints_1"]; // Here you must use the name that you used for writing the data within the file.
    // You named it "keypoints_1" before.
    // It must be the same name that you used in write(fs, "keypoints_1", keypoints_1);
    // so for example write(storage, "nodeName", data); needs you to call cv::FileNode kptFileNode = fs2["nodeName"]; later

read(kptFileNode, testPoints);
fs2.release();
drawKeypoints(img_1, testPoints, img_keypoints_1);
cv::imshow("keypoints_1", img_keypoints_1);

关于c++ - 加载关键点和工程图，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/27842444/