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Face recognition, once the preserve of the few, the likes of
intelligence and security services, is now made available to the masses
as well, thanks to OpenFace.
Caveat, there are many face detection libraries, such as OpenCV, and applications like Facebook or Picasa, but this is about face recognition, and applications of this kind are not easily found in public.
OpenFace changes all that. It is an open source face recognition implementation, written in Python and Torch, and based on deep learning and neural networks . As such, it relies on a number of components that work together as pipelines, each one basing its input on the previous component's output. These are dlib and OpenVC, used for the face detection, alignment and transformation; the Torch machine learning library for implementing deep learning; and nn4, the neural network model itself.
full article on i-programmer
Caveat, there are many face detection libraries, such as OpenCV, and applications like Facebook or Picasa, but this is about face recognition, and applications of this kind are not easily found in public.
OpenFace changes all that. It is an open source face recognition implementation, written in Python and Torch, and based on deep learning and neural networks . As such, it relies on a number of components that work together as pipelines, each one basing its input on the previous component's output. These are dlib and OpenVC, used for the face detection, alignment and transformation; the Torch machine learning library for implementing deep learning; and nn4, the neural network model itself.
full article on i-programmer
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