openface/docs/usage.md

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# Usage
## [API Documentation](http://openface-api.readthedocs.org/en/latest/index.html)
## Example
See [the image comparison demo](https://github.com/cmusatyalab/openface/blob/master/demos/compare.py) for a complete example
written in Python using a naive Torch subprocess to process the faces.
```Python
import openface
# `args` are parsed command-line arguments.
align = openface.AlignDlib(args.dlibFacePredictor)
net = openface.TorchNeuralNet(args.networkModel, args.imgDim, cuda=args.cuda)
# `img` is a numpy matrix containing the RGB pixels of the image.
bb = align.getLargestFaceBoundingBox(img)
alignedFace = align.alignImg("affine", args.imgDim, img, bb)
rep1 = net.forwardImage(alignedFace)
# `rep2` obtained similarly.
d = rep1 - rep2
distance = np.dot(d, d)
```