Thank you for your response. First I want to extract useful features from
images so as to get n_features. So can you suggest any method to extract
features from image(24*24) dataset? Then I can possibly train the
classifier.
Thanks.
On Sun, Mar 19, 2017 at 11:49 AM, Jacob Schreiber
wrote:
> You
You really need to provide more details with what exactly you're stuck
with. If you've extracted useful features from some image into a matrix X
with binary labels y you can just do `clf.fit(X, y)` to train the
classifier.
On Sat, Mar 18, 2017 at 10:21 PM, Afzal Ansari
wrote:
> Hello Sir,
> I w
Hello Sir,
I want to classify images containing negative and positive samples using
Adaboost classifier. So how can I do that classification? Please help me
regarding this.
Thanks.
On Sat, Mar 18, 2017 at 11:03 PM, Francois Dion
wrote:
> You need to provide more details on exactly what you nee
You need to provide more details on exactly what you need. I'll take a stab at it:Are you trying to replicate OpenCV cascade training?If so, what they call DAB is Scikit learn adaboostclassifier (http://scikit-lea
