I've been doing some research and attempted to build a haarcascade for identifying gender.
I read this article, which describes how they did it, which i also tried to do : http://www.ijcce.org/papers/301-E043.pdf
I used a library of 228 male faces and 350 female faces. Using the opencv createclassifier on my positives.txt file which contains a list of the male faces. Using the .vec file create by the classifier I used haartraining with the following command:
opencv_traincascade -data classifier -vec positivies.vec -bg negatives.txt -numStages 20 -minHitRate 0.99 -maxFalseAlarmRate 0.5 -numPos 228 -numNeg 350 -w 640 -h 480 -mode ALL After running this a few times I do not get a haar classifier.xml output file so I'm unsure whether I am doing everything correctly.
But my question is whether it is possible using male faces as positive samples and female as negative samples to train and use a haarcascade for classifying gender?
