Hello everyone,
I'm facing some trouble while training an SVM and I'm wondering if it has to do with the size of each of the input vectors. As usually, I'm computing some descriptors to be passed into the classifier (`vector descriptors`). Everything goes alright (the SVM is trained without problems) until the vector I use goes too big (around 220000 in length - just an approximation, haven't tested/found exact amount yet) when it arises an exception (error at memory location *whatever position*)
So... **is there any know maximum size for those input vectors?** I haven't found anything on the docs, and neither on LibSVM docs (as OpenCV implementation is based on it).
Just to clarify: 1. the exception does not point running out of memory, there's plenty of memory available, and 2. I'm using OpenCV 2.4.10
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