I tried to implement svm in my android application but when i run my application i get errors.
// Creating Training Data
Mat trainData = new Mat();
Mat train_labels = new Mat();
for (int i = 0; i <549; i++) {
String path = Environment.getExternalStorageDirectory().toString()
+ "/Pictures/train/" + i + ".png";
Mat img = Imgcodecs.imread(path);
Log.i(TAG,"error"+i+img.empty());
img.convertTo(img, CvType.CV_32FC1); // Convert to float
Size dsize = new Size(25, 25);
Imgproc.resize(img, img, dsize);
img.convertTo(img, CvType.CV_32FC1);
Mat imgResized = img.reshape(1, 1); // make continuous
trainData.push_back(imgResized);
// add 1 item
train_labels
.push_back(new Mat(1, 1, CvType.CV_32FC1, new Scalar(i)));
}
Mat response = new Mat();
Mat tmp;
tmp = train_labels.reshape(1, 1); // make continuous
tmp.convertTo(response, CvType.CV_32FC1); // Convert to float
SVM svm = SVM.create();
TermCriteria criteria = new TermCriteria(TermCriteria.EPS + TermCriteria.MAX_ITER,100,0.1);
svm.setKernel(SVM.LINEAR);
svm.setType(SVM.C_SVC);
svm.setGamma(0.5);
svm.setNu(0.5);
svm.setC(1);
svm.setTermCriteria(criteria);
svm.train(trainData, Ml.ROW_SAMPLE,train_labels);
// For Storing training data
File datasetFile = new File(Environment.getExternalStoragePublicDirectory(
Environment.DIRECTORY_DOWNLOADS), "dataset.xml");
svm.save(datasetFile.getAbsolutePath());
And this is the error:
05-28 11:05:01.921: E/cv::error()(2252): OpenCV Error: Bad argument (in the case of classification problem the responses must be categorical; either specify varType when creating TrainData, or pass integer responses) in virtual bool cv::ml::SVMImpl::train(const cv::Ptr&, int), file /home/maksim/workspace/android-pack/opencv/modules/ml/src/svm.cpp, line 1610
05-28 11:05:01.931: E/org.opencv.ml(2252): ml::train_10() caught cv::Exception: /home/maksim/workspace/android-pack/opencv/modules/ml/src/svm.cpp:1610: error: (-5) in the case of classification problem the responses must be categorical; either specify varType when creating TrainData, or pass integer responses in function virtual bool cv::ml::SVMImpl::train(const cv::Ptr&, int)
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