Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
This is static template method of [Algorithm]. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");In order to make this method work, the derived class must overwrite [Algorithm::read](const [FileNode]& fn).
Name of the file to read.
The optional name of the node to read (if empty, the first top-level node will be used)
This is static template method of [Algorithm]. It's usage is following (in the case of SVM):
Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);The string variable containing the model you want to load.
The optional name of the node to read (if empty, the first top-level node will be used)
This is static template method of [Algorithm]. It's usage is following (in the case of SVM):
cv::FileStorage fsRead("example.xml", FileStorage::READ);
Ptr<SVM> svm = Algorithm::read<SVM>(fsRead.root());In order to make this method work, the derived class must overwrite [Algorithm::read](const [FileNode]& fn) and also have static create() method without parameters (or with all the optional parameters)
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especially for classes of algorithms, for which there can be multiple implementations. The examples are stereo correspondence (for which there are algorithms like block matching, semi-global block matching, graph-cut etc.), background subtraction (which can be done using mixture-of-gaussians models, codebook-based algorithm etc.), optical flow (block matching, Lucas-Kanade, Horn-Schunck etc.).
Here is example of SimpleBlobDetector use in your application via Algorithm interface:
Ptr<Feature2D> sbd = SimpleBlobDetector::create(); FileStorage fs_read("SimpleBlobDetector_params.xml", FileStorage::READ); if (fs_read.isOpened()) // if we have file with parameters, read them { sbd->read(fs_read.root()); fs_read.release(); } else // else modify the parameters and store them; user can later edit the file to use different parameters { fs_read.release(); FileStorage fs_write("SimpleBlobDetector_params.xml", FileStorage::WRITE); sbd->write(fs_write); fs_write.release(); } Mat result, image = imread("../data/detect_blob.png", IMREAD_COLOR); vector<KeyPoint> keypoints; sbd->detect(image, keypoints, Mat()); drawKeypoints(image, keypoints, result); for (vector<KeyPoint>::iterator k = keypoints.begin(); k != keypoints.end(); ++k) circle(result, k->pt, (int)k->size, Scalar(0, 0, 255), 2); imshow("result", result); waitKey(0);Source: opencv2/core.hpp.