def __init__(self,
face_detector=CascadeDetector(),
tile_size=(128, 128),
validate=None,
n_iter=1,
annotate=False,
**kwargs):
'''
Create an eye locator. This default implentation uses a
cascade classifier for face detection and then SVR for eye
location.
'''
self.face_detector = face_detector
self.left_eye = None
self.right_eye = None
self.tile_size = tile_size
self.validate = validate
self.n_iter = n_iter
self.annotate = annotate
self.perturbations = True
# this object handles pca normalization
self.normalize = VectorClassifier.VectorClassifier(
VectorClassifier.TYPE_REGRESSION,
reg_norm=VectorClassifier.REG_NORM_NONE)
# point locators that learn to find the eyes.
self.left_locator = SVMLocator(
svm_type=SVM.TYPE_NU_SVR, normalization=VectorClassifier.NORM_NONE)
self.right_locator = SVMLocator(
svm_type=SVM.TYPE_NU_SVR, normalization=VectorClassifier.NORM_NONE)
# Number of training images where the face detection did not work.
self.detection_failures = 0
self.training_labels = []
def createLocators(self, **kwargs):
''' Create two point locators that use the methods of interest '''
self.left_locator = SVMLocator(
type=SVM.TYPE_NU_SVR, normalization=VectorClassifier.NORM_VALUE)
self.right_locator = SVMLocator(
type=SVM.TYPE_NU_SVR, normalization=VectorClassifier.NORM_VALUE)
