def setUp(cls):
cls.faceEngine = f.createFaceEngine("data")
if not make_activation(cls.faceEngine):
raise ActivationLicenseError("License is not activated!")
cls.config_desc = f.createSettingsProvider(
"data/cnndescriptor_54.conf")
cls.config = f.createSettingsProvider("data/faceengine.conf")
def createLivenessEngine(preparedConfig):
faceEngine = fe.createFaceEngine("data")
faceEngine.setSettingsProvider(preparedConfig)
if not make_activation(faceEngine):
raise ActivationLicenseError("License is not activated!")
liveness_engine = fe.createLivenessEngine(faceEngine, "data")
return liveness_engine
def loadAcquiredFaceEngineWithCnn46():
faceEnginePtr = fe.createFaceEngine("data",
configPath)
if not make_activation(faceEnginePtr):
raise ActivationLicenseError("License is not activated!")
config = fe.createSettingsProvider(configPath)
config.setValue("DescriptorFactory::Settings", "model", 46)
faceEnginePtr.setSettingsProvider(config)
return faceEnginePtr
def setUpClass(cls):
cls.faceEngine = fe.createFaceEngine("data")
if not make_activation(cls.faceEngine):
raise ActivationLicenseError("License is not activated!")
cls.image = fe.Image()
err = cls.image.load(os.path.join(testDataPath, "image1.ppm"))
cls.assertTrue(cls, err.isOk)
cls.assertTrue(cls, cls.image.isValid())
cls.face_for_redetect = fe.Face(
cls.image, fe.Detection(fe.Rect(289, 94, 147, 185), 0.999999))
cls.faces_batch_for_redetect = [cls.face_for_redetect] * 10
cls.images_batch_for_detect = [cls.image] * 10
cls.rectangles = [cls.image.getRect()] * 10
def setUp(cls):
cls.faceEngine = f.createFaceEngine("data")
if not make_activation(cls.faceEngine):
raise ActivationLicenseError("License is not activated!")
cls.warper = cls.faceEngine.createWarper()
def setUp(cls):
if not make_activation(cls.faceEngine):
raise ActivationLicenseError("License is not activated!")