Hello. I have some matrix MxN(M - count of weak classificators, N - count of results weak classificator at each validation image(positives and negatives):
Example:
1 1 1 1 0 0 0 0
1 1 1 0 0 1 0 0
1 0 1 1 1 0 0 0
1 1 1 1 0 0 0 0
1 1 1 1 1 0 0 0
Which tflag for CvBoost should I choose for right work for CvBoost? How to correctly create responses vector?
tflag is one of CV_ROW_SAMPLE or CV_COL_SAMPLE
if you put one sample per row of your trainmat, use CV_ROW_SAMPLE and a Mat(num_samples,1,CV32S) for resonses.
// TrainingMat responses
s a m p l e 1
s a m p l e 2
s a m p l e 1
s a m p l e 2
s a m p l e 1
s s s s s // trainingmat
a a a a a
m m m m m
p p p p p
l l l l l
e e e e e
1 2 1 2 1 // responses
Asked: 2013-08-05 04:48:08 -0600
Seen: 368 times
Last updated: Aug 05 '13