I tried to use Sift or surf descriptors for machine learning in an android application. But when i run the program i get this error.
OpenCV Error: Bad argument (Specified feature detector type is not supported.) in cv::javaFeatureDetector::create
My code:
public void train() {
// Creating Training Data
Mat trainData = new Mat();
Mat train_labels = new Mat();
Mat descriptors ;
FeatureDetector featureDetector;
MatOfKeyPoint keyPoints;
DescriptorExtractor descriptorExtractor;
Mat descriptors1 ;
FeatureDetector featureDetector1;
MatOfKeyPoint keyPoints1;
DescriptorExtractor descriptorExtractor1;
String Newligne=System.getProperty("line.separator");
for (int i = 0; i <48; i++) {
String path1 = Environment.getExternalStorageDirectory().toString()
+ "/Pictures/images/" + "a"+i + ".jpg";
/* String path1 = Environment.getExternalStorageDirectory().toString()
+ "/Pictures/images/" +"a"+ i + ".jpg";*/
Mat img = Imgcodecs.imread(path1);
featureDetector=FeatureDetector.create(FeatureDetector.PYRAMID_FAST);
descriptorExtractor=DescriptorExtractor.create(DescriptorExtractor.SIFT);
keyPoints = new MatOfKeyPoint();
descriptors = new Mat();
featureDetector.detect(img, keyPoints);
Log.d("LOG!", "number of query Keypoints= " + keyPoints.size());
// Descript keypoints
descriptorExtractor.compute(img, keyPoints, descriptors);
Log.d("LOG!", "number of descriptors= " + descriptors.size());
Log.i(TAG,"error"+i+img.empty());
trainData.push_back(descriptors)// add 1 item
train_labels.push_back(new Mat(1, 1, CvType.CV_32SC1, new Scalar(i)));
}
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