I was getting too many down votes on the stackoverflow question. I'm copying and pasting the question to the mailing list instead.
I'm using Python to do facial recognition and came across a bit of code here. <http://scikit-learn.org/stable/auto_examples/applications/face_recognition.html> Please, have a look at that code. What I'm trying to figure out is at what point does the code detect a face in the images. I tried to upload over 300 pictures of myself into the database of images to see if it could recognize me by face and all I'm seeing is a gray image of the background without my face in the plotted image. If I'm using the wrong tool for the job, let me know. I'm not trying to force myself to use sklearn, although it is constantly updated and has a very large community of people working on it. Also, this cheat sheet is extremely helpful for me (being a Data Scientist). <http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html> Should I detect the faces first and crop the images to help with the process instead? There's got to be facial detection somewhere embedded within the snippet of code I mentioned. Thanks for the help! On Tue, Jun 9, 2015 at 11:20 AM Nick R <nreardon...@gmail.com> wrote: > Hi guys, > > I posted a question to Stack Overflow that you can find here ( > http://stackoverflow.com/questions/30734692/scikit-learn-python-facial-recognition-and-facial-detection > ). > > Basically, my problem is that I put over 300 pictures of myself (captured > by slicing a video of myself into frames) into the lfw_funneled file in the > root directory and then set min_faces to 300. When it predicts me, it > doesn't hone in on my face. > > I'm going to need to use technology like this soon and I was just > wondering if you guys had any idea as to why this is happening. > > Thanks for your attention! > > Sincerely, > Nick >
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