def test_face_detector_no_face(self):
fd.set_classifiers(c1, c2, c3)
face_box = fd.detect_face(self.test_image_face)
x1 = face_box.x
y1 = face_box.y
x2 = face_box.width + x1
y2 = face_box.height + y1
self.assertTrue(face_box is None, "Image does not contain a face!")
def test_multiple_faces(self, faces):
fd.set_classifiers(c1, c2, c3)
for image in faces:
index = 0
face_box = fd.detect_face(image)
if face_box is not None:
x1 = face_box.x
y1 = face_box.y
x2 = face_box.width + x1
y2 = face_box.height + y1
self.assertTrue(face_box is not None, "Image %d contains a face between (%d,%d) and (%d,%d)"%(index,x1,y1,x2,y2))
else:
self.assertTrue(face_box is None, "Image %d contains no face!"%s(index))
index+=1