Python VLFaceEngine.createCredibilityEstimator示例

示例#1

def estimateCredibility():
    """
    Estimate credibility of a person
    """
    image = VLImage.load(filename=EXAMPLE_1)
    faceEngine = VLFaceEngine()
    detector = faceEngine.createFaceDetector(DetectorType.FACE_DET_V3)
    faceDetection = detector.detectOne(image)
    warper = faceEngine.createFaceWarper()
    warp = warper.warp(faceDetection)

    credibilityEstimator = faceEngine.createCredibilityEstimator()
    pprint.pprint(credibilityEstimator.estimate(warp.warpedImage).asDict())

示例#2

async def asyncEstimateCredibility():
    """
    Async estimate credibility of a person
    """
    image = VLImage.load(filename=EXAMPLE_1)
    faceEngine = VLFaceEngine()
    detector = faceEngine.createFaceDetector(DetectorType.FACE_DET_V3)
    faceDetection = detector.detectOne(image)
    warper = faceEngine.createFaceWarper()
    warp = warper.warp(faceDetection)

    credibilityEstimator = faceEngine.createCredibilityEstimator()
    estimation = await credibilityEstimator.estimate(warp.warpedImage,
                                                     asyncEstimate=True)
    pprint.pprint(estimation.asDict())

    task1 = credibilityEstimator.estimate(warp.warpedImage, asyncEstimate=True)
    task2 = credibilityEstimator.estimate(warp.warpedImage, asyncEstimate=True)
    for task in (task1, task2):
        pprint.pprint(task.get().asDict())