how to use ORB features with scikit learn

asked 2018-04-19 05:58:21 -0600

Akash gravatar image

I am developing an image classification program for classifying food images using machine learning algorithms in python. Currently I have been using the histograms as the feature for classification but now I want to make use of ORB features.Is it possible to use the features with scikit learn ? I am using Anaconda and my python version is 3.6. can somebody guide me? Please do not direct me to SIFT or SURF resources as they are patented.

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since every image will have varying number of keypoints / descriptors, and you need a fixed descriptor size for any kind of machine learning, you will need to cluster the descriptors e.g. using BagOfWords.

so: find out, if scikit has any ways to cluster binary features

(this is somewhat off-topic here)

berak gravatar imageberak ( 2018-04-19 06:16:08 -0600 )edit

btw, you can still use opencv's BoW methods using AKAZE with KAZE_UPRIGHT descriptors (they are float, and not patented)

berak gravatar imageberak ( 2018-04-19 06:25:34 -0600 )edit
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