c++ - 如何通过opencv中的程序参数定义要素类型？

Question

当前更改功能类型是通过在代码中手动更改名称来完成的。例如，对于 SURF 检测器和描述符，我必须在以下代码示例中将单词“SURF”更改为其他名称:

Ptr<SURF> detector = SURF::create();
Ptr<SURF> descriptor = SURF::create();

有没有办法通过程序参数改变“SURF”部分来改变特征类型？

我希望能够批量评估多种特征类型，而不是每次都手动输入特征类型。

Answer 1

您似乎想要 Ptr<FeatureDetector> cv::FeatureDetector::create(const string& detectorType) 提供的功能功能:

"FAST" – FastFeatureDetector 
"STAR" – StarFeatureDetector 
"SIFT" – SIFT (nonfree module) 
"SURF" – SURF (nonfree module) 
"ORB" – ORB
"BRISK" – BRISK 
"MSER" – MSER 
"GFTT" – GoodFeaturesToTrackDetector
"HARRIS" – GoodFeaturesToTrackDetector with Harris detector enabled
"Dense" – DenseFeatureDetector 
"SimpleBlob" – SimpleBlobDetector

Also a combined format is supported: 
  feature detector adapter name ( "Grid" – GridAdaptedFeatureDetector, "Pyramid" – PyramidAdaptedFeatureDetector )
   + feature detector name (see above), for example: "GridFAST", "PyramidSTAR"

它返回一个指向 FeatureDetector 基类的指针，因此您可以在运行时使用多态性来选择具体实现:

//assuming image path is the first command line parameter and detector type is the second parameter
auto image = cv::imread(argv[1]);
auto ptr = cv::FeatureDetector::create(argv[2]); //auto evaulates to cv::Ptr<cv::FeatureDetector> here
std::vector<cv::KeyPoint> keypoints;
ptr->detect(image, keypoints);
for (auto kp : keypoints)
    cv::circle(image, kp.pt, 2, cv::Scalar(0, 255, 255), -1);
cv::imwrite(argv[1], image);