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)))
((114, 64), (338, 288))
(Source code, png, hires.png, pdf)
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))
((162, 178), (238, 254))
(Source code, png, hires.png, pdf)
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()(dlib_color_image)
>>> print (points[0])
(192, 77)
(Source code, png, hires.png, pdf)
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)
