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Implementing BagOfWords in java?

asked 2018-06-15 09:30:06 -0500

Macho gravatar image

I am new to Java and Opencv, i have spent 2 days trying to implement BOW in Java, i am using OpenCV 3.2.0 since it is the only version that i found contains BOW classes in Feature2d

int dictionarySize = 1500;
 TermCriteria criteria = new TermCriteria(TermCriteria.EPS + TermCriteria.MAX_ITER,100,0.1);

 FeatureDetector features = FeatureDetector.create(FeatureDetector.SIFT);
 DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
 DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);

 BOWKMeansTrainer bowTrainer = new BOWKMeansTrainer(dictionarySize, criteria, 1, Core.KMEANS_PP_CENTERS);



BOWImgDescriptorExtractor de = new BOWImgDescriptorExtractor(extractor, matcher);

In the last line of code i found out in Java BOWImgDescriptorExtractor class don't take theses input arguments like the C++ class.

I need to train SVM with BoW so please any help would be appreciated.

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did you build the opencv libs locally before, with the classes from opencv_contrib ? (you won't be able to use SIFT features else)

berak gravatar imageberak ( 2018-06-15 10:10:28 -0500 )edit

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answered 2018-06-15 09:39:26 -0500

berak gravatar image

updated 2018-06-15 09:52:14 -0500

sad as it is, you can't use those BoW classes from java, their bindings are broken. (e.g. there is no BOWImgDescriptorExtractor constructor, it is skipped during the wrapper generation)

i am using OpenCV 3.2.0 since it is the only version that i found contains BOW classes in Feature2d

that is not true. more recent versions have them, too (and you should a more recent version, than 3.2), but the problem remains the same.

you'll either have to fallback to jni for this, or rewrite it in java.

please see here for a java example

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Asked: 2018-06-15 09:30:06 -0500

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Last updated: Jun 15 '18