This forum is disabled, please visit https://forum.opencv.org
 | 1 | initial version |
My understanding is that this means the classifier has reached the desired accuracy on the training dataset given the input parameters. Have you tried running your classifier on your test images to see if it works as-is?
With regards your point 2., I believe the number should be the number of negatives in the -bg training set.
" Be careful that only the first <num> negative images in the <collection_file_of_negatives> are used."
From point 3. here: http://note.sonots.com/SciSoftware/haartraining.html
