我已经使用训练图像(大小为144x33的150张图像)创建了Mat,因此我的Mat宽度为4752,高度为150。另一个包含标签的Mat宽度为1,高度为150。现在当我尝试使用这两个Mat进行svm.train()时,我遇到以下错误:
OpenCV Error: Bad argument (response #2 is not integral) in cvPreprocessCategoricalResponses, file ..\..\..\..\opencv\modules\ml\src\inner_functions.cpp, line 715
Exception in thread "main" CvException [org.opencv.core.CvException: cv::Exception: ..\..\..\..\opencv\modules\ml\src\inner_functions.cpp:715: error: (-5) response #2 is not integral in function cvPreprocessCategoricalResponses]
这是我的一部分代码,请问有人能告诉我可能出了什么问题吗?
Mat trainingImages = new Mat(0, imageWidth * imageHeight, CvType.CV_32FC1);
Mat labels = new Mat(amountOfPlates + amountOfNoPlates, 1, CvType.CV_32FC1);
List<Integer> trainingLabels = new ArrayList<>();
for (int i = 0; i < amountOfPlates; i++) {
int index = i + 1;
String file = pathPlates + index + ".jpg";
Mat img = Highgui.imread(file, 0);
img.convertTo(img, CvType.CV_32FC1);
img = img.reshape(1, 1);
trainingImages.push_back(img);
trainingLabels.add(1);
}
for (int i = 0; i < amountOfNoPlates; i++) {
int index = i + 1;
String file = pathNoPlates + index + ".jpg";
Mat img = Highgui.imread(file, 0);
img.convertTo(img, CvType.CV_32FC1);
img = img.reshape(1, 1);
trainingImages.push_back(img);
trainingLabels.add(0);
}
Integer[] array = trainingLabels.toArray(new Integer[trainingLabels.size()]);
int[] trainLabels = new int[array.length];
for (int i = 0; i < array.length; i++) {
trainLabels[i] = array[i];
}
for (int i = 0; i < trainingLabels.size(); i++) {
labels.put(i, 1, trainLabels[i]);
}
CvSVMParams params = new CvSVMParams();
params.set_svm_type(CvSVM.C_SVC);
params.set_kernel_type(CvSVM.LINEAR);
params.set_degree(0);
params.set_gamma(1);
params.set_coef0(0);
params.set_C(1);
params.set_nu(0);
params.set_p(0);
TermCriteria tc = new TermCriteria(opencv_core.CV_TERMCRIT_ITER, 1000, 0.01);
params.set_term_crit(tc);
Size data = trainingImages.size();
Size label = labels.size();
CvSVM svmClassifier = new CvSVM();
svmClassifier.train(trainingImages, labels, new Mat(), new Mat(), params);
svmClassifier.save("test.xml");
尺寸数据显示:宽度=4752,高度=150
尺寸标签显示:宽度=1,高度=150
我做错了什么?
CV_32SC1
是用于有符号整数的,它表示您的矩阵存储int
。 - Kornel