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you'll get no argument out of being that I use OpenCV. It is the tool that I had, and works effectively the way I programmed it. Also, I do not have a general p
by kefka 11y ago
you'll get no argument out of being that I use OpenCV. It is the tool that I had, and works effectively the way I programmed it. Also, I do not have a general purpose GPU so I cannot do gpu-accelerated calculations.
this model is indeed a new and novel way of handling facial recognition. the only caveat for me using this is that I do not have a GP GPU. if I am able to acquire one, I will undoubtedly use it instead!
- anonym28492 11y agoyou can utilize a neural network on a cpu as well - it will just take longer for an answer to be retrieved the intention behind my comment was only to point out that your solution does compete on a different level - i did not intent do speak badly of it
- kefka 11y agoSorry, I wasn't angry at all. I was at a stoplight and read what you wrote, and responded with my voice to text (android). :) And they are indeed different projects. I would dare say that they have much better quality, but I've not used it. 120d of freedom does give a great deal of unique clustering data. I know mine doesn't compare with that, but also doesn't require as much power either. Sincerely,
- bdamos 11y agoThe argument isn't that you use OpenCV: OpenFace also uses OpenCV. However, I think you should target and present your program as being a program that uses face recognition, not as a face recognition program. You are using and not crediting here that your program uses existing, off-the-shelf face recognition functionality already in OpenCV: https://github.com/jwcrawley/uWho/blob/2823479d5abf9f8f2de21ab38cf77a9f4c4c46d8/mainwindow.cpp#L31 https://github.com/jwcrawley/uWho/blob/2823479d5abf9f8f2de21...