Bob interface for dlib

This package binds some functionalities from dlib. For the moment we have the face detection and the face landmark detection binded.

User guide

Face Detection

The most simple face detection task is to detect a single face in an image. This task can be achieved using a single command:

>>> import bob.ip.dlib
>>> import bob.io.base
>>> import bob.io.base.test_utils
>>> dlib_color_image = bob.io.base.load(bob.io.base.test_utils.datafile('testimage.jpg', 'bob.ip.facedetect'))
>>> dlib_bounding_box, _ = bob.ip.dlib.FaceDetector().detect_single_face(dlib_color_image)
>>> print (tuple((dlib_bounding_box.topleft, dlib_bounding_box.bottomright)))
((118, 68), (342, 292))

(Source code, png, hires.png, pdf)

../../_images/plot_single_faces.png

Multiple Face Detection

The detection of multiple faces can be achieved with a single command:

>>> import bob.ip.dlib
>>> import bob.io.base
>>> import bob.io.base.test_utils
>>> dlib_color_image = bob.io.base.load(bob.io.base.test_utils.datafile('multiple-faces.jpg', 'bob.ip.dlib'))
>>> dlib_bounding_box, _ = bob.ip.dlib.FaceDetector().detect_all_faces(dlib_color_image)
>>> print ((dlib_bounding_box[0].topleft, dlib_bounding_box[0].bottomright))
((163, 179), (238, 255))

(Source code, png, hires.png, pdf)

../../_images/plot_multiple_faces.png

Landmark detection

The detection of landmarks can be done as the following:

>>> import bob.ip.dlib
>>> import bob.io.base
>>> import bob.io.base.test_utils
>>> dlib_color_image = bob.io.base.load(bob.io.base.test_utils.datafile('testimage.jpg', 'bob.ip.facedetect'))
>>> points = bob.ip.dlib.DlibLandmarkExtraction(bob_landmark_format=True)(dlib_color_image)
>>> print (points['reye'])
(173, 222)

(Source code, png, hires.png, pdf)

../../_images/plot_landmarks.png

Face genometric normalization using the Landmark detection

The detection of landmarks can be done as the following:

>>> import bob.ip.dlib
>>> import bob.io.base
>>> import bob.io.base.test_utils
>>> import bob.ip.facedetect
>>> dlib_color_image = bob.io.base.load(bob.io.base.test_utils.datafile('image_r10.hdf5', 'bob.ip.dlib'))
>>> normimage = bob.ip.dlib.AlignDLib()(dlib_color_image, bob.ip.facedetect.BoundingBox((0,0),(116,116)))

(Source code, png, hires.png, pdf)

../../_images/plot_align_faces.png