def estimateLiveness():
"""
Estimate liveness.
"""
image = VLImage.load(filename=EXAMPLE_O)
faceEngine = VLFaceEngine()
detector = faceEngine.createFaceDetector(DetectorType.FACE_DET_V3)
faceDetection = detector.detectOne(image, detect68Landmarks=True)
livenessEstimator = faceEngine.createLivenessV1Estimator()
pprint.pprint(livenessEstimator.estimate(faceDetection, qualityThreshold=0.5).asDict())
faceDetection2 = detector.detectOne(VLImage.load(filename=EXAMPLE_1), detect68Landmarks=True)
pprint.pprint(livenessEstimator.estimateBatch([faceDetection, faceDetection2]))
async def asyncEstimateLiveness():
"""
Async estimate liveness.
"""
image = VLImage.load(filename=EXAMPLE_O)
faceEngine = VLFaceEngine()
detector = faceEngine.createFaceDetector(DetectorType.FACE_DET_V3)
faceDetection = detector.detectOne(image, detect68Landmarks=True)
livenessEstimator = faceEngine.createLivenessV1Estimator()
liveness = await livenessEstimator.estimate(faceDetection, qualityThreshold=0.5, asyncEstimate=True)
pprint.pprint(liveness.asDict())
faceDetection2 = detector.detectOne(VLImage.load(filename=EXAMPLE_1), detect68Landmarks=True)
task1 = livenessEstimator.estimateBatch([faceDetection, faceDetection], asyncEstimate=True)
task2 = livenessEstimator.estimateBatch([faceDetection, faceDetection2], asyncEstimate=True)
for task in (task1, task2):
pprint.pprint(task.get())