def matchFacesFromImages():
"""
Match faces from images.
"""
faceEngine = VLFaceEngine()
detector = faceEngine.createFaceDetector(DetectorType.FACE_DET_V1)
extractor = faceEngine.createFaceDescriptorEstimator()
warper = faceEngine.createFaceWarper()
matcher = faceEngine.createFaceMatcher()
image1 = VLImage.load(filename=EXAMPLE_O)
faceDetection1 = detector.detectOne(image1)
warp1 = warper.warp(faceDetection1)
descriptor1 = extractor.estimate(warp1.warpedImage)
image2 = VLImage.load(filename=EXAMPLE_1)
faceDetection2 = detector.detectOne(image2)
warp2 = warper.warp(faceDetection2)
descriptor2 = extractor.estimate(warp2.warpedImage)
batch, _ = extractor.estimateDescriptorsBatch(
[warp1.warpedImage, warp2.warpedImage])
print(matcher.match(descriptor1, descriptor2))
print(matcher.match(descriptor1, batch))
print(matcher.match(descriptor1, [descriptor2, descriptor1]))
def matchDescriptors():
"""
Match raw descriptors.
"""
faceEngine = VLFaceEngine()
version = 54
matcher = faceEngine.createFaceMatcher(descriptorVersion=version)
magicPrefix = b"dp\x00\x00" + version.to_bytes(length=4,
byteorder="little")
descriptor1 = magicPrefix + bytes([126, 128] * 256) # length is 8 + 512
descriptor2 = magicPrefix + bytes([128, 126] * 256) # length is 8 + 512
print(matcher.match(descriptor1, descriptor2))
print(matcher.match(descriptor1, [descriptor2, descriptor1]))
