适用于Android的OpenCV-使用SURF描述符训练SVM [英] OpenCV for Android - training SVM with SURF descriptors

问题描述

在培训适用于Android应用程序的SVM时，我需要一些帮助. 我有一组不同类别(12个类别)的图像，并从中获取了所有描述符.我设法为每个图像获取相同数量的描述符.我需要的是使用这些描述符为我的android应用程序训练一个SVM. 我不确定是否应该在Android模拟器中训练它还是编写C ++程序来训练SVM，然后将其加载到我的应用程序中(如果我使用Windows的OpenCV的lib来训练SVM，然后保存它，我用于Android的lib是否可以识别已保存的SVM文件?).我想我不应该在模拟器中使用如此大的数据集来训练SVM. 我已经在Weka的SMO( http://www .cs.waikato.ac.nz/ml/weka/)并获得了良好的结果，但是我需要实现(或使用openCV的)SVM并保存它的训练以备将来分类.

I need some help in training a SVM for an Android app. I have a set of images in different classes (12 classes) and got all descriptors from them. I managed to get the same amount of descriptors for each image. What I need is to train a SVM for my android application with those descriptors. I'm not sure if I should train it in the Android emulator or write a C++ program to train the SVM and then load it in my app (if I use the OpenCV's lib for windows to train the SVM and then save it, will the lib I'm using for Android recognize the saved SVM file?). I guess I shouldn't train the SVM with such big dataset in the emulator. I've already tested my descriptor's dataset on the SMO of Weka (http://www.cs.waikato.ac.nz/ml/weka/) and got good results, but I need to implement (or use the openCV's) SVM and save it trained for future classification.

推荐答案

以下是在OpenCV4Android中训练SVM的示例. trainData是MatOfFloat，其形式将取决于您用于获取特征向量的方法.为了制作trainData，我使用Core.hconcat()将数据集每个元素的特征向量连接到单个Mat中.

Here is an example for training your SVM in OpenCV4Android. trainData is a MatOfFloat, the form of which will depend on the method you're using to get feature vectors. To make trainData, I used Core.hconcat() to concatenate the feature vectors for each element of the dataset into a single Mat.

Mat responses = new Mat(1, sizeOfDataset, CvType.CV_32F);
responses.put(0, 0, labelArray); // labelArray is a float[] of labels for the data

CvSVM svm = new CvSVM();
CvSVMParams params = new CvSVMParams();
params.set_svm_type(CvSVM.C_SVC);
params.set_kernel_type(CvSVM.LINEAR);
params.set_term_crit(new TermCriteria(TermCriteria.EPS, 100, 1e-6)); // use TermCriteria.COUNT for speed

svm.train_auto(trainData, responses, new Mat(), new Mat(), params);

我非常确定OpenCV使用相同的格式在Android和C ++接口中保存SVM.当然，您始终可以在Android上训练SVM，并使用类似

I'm fairly sure OpenCV uses the same format to save SVMs in both the Android and C++ interfaces. Of course, you can always train the SVM in Android and save the XML file to your emulator's SD card using something like

File datasetFile = new File(Environment.getExternalStorageDirectory(), "dataset.xml");
svm.save(datasetFile.getAbsolutePath());

然后将其从SD卡中拉出，并将其存储在应用程序的/res/raw文件夹中.

then pull it from the SD card and store it in your app's /res/raw folder.

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