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 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 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 extractorAggregation(self, version, useMobileNet, cpuType, device):
configPath = os.path.join(self.dataPath, "faceengine.conf")
runtimeConfigPath = os.path.join(self.dataPath, "runtime.conf")
faceEngine = fe.createFaceEngine(self.dataPath)
self.assertTrue(make_activation(faceEngine))
config = fe.createSettingsProvider(configPath)
runtimeConf = fe.createSettingsProvider(runtimeConfigPath)
config.setValue("DescriptorFactory::Settings", "model",
fe.SettingsProviderValue(version))
config.setValue("DescriptorFactory::Settings", "useMobileNet",
fe.SettingsProviderValue(useMobileNet))
config.setValue("system", "verboseLogging",
fe.SettingsProviderValue(5))
config.setValue("FaceDetV3::Settings", "minFaceSize", 20)
runtimeConf.setValue("Runtime", "deviceClass",
fe.SettingsProviderValue(device))
runtimeConf.setValue("Runtime", "cpuClass",
fe.SettingsProviderValue(cpuType))
faceEngine.setSettingsProvider(config)
faceEngine.setRuntimeSettingsProvider(runtimeConf)
warps = [fe.Image(), fe.Image()]
err1 = warps[0].load(os.path.join(self.test_data_path, "warp1.ppm"))
self.assertTrue(err1.isOk)
err2 = warps[1].load(os.path.join(self.test_data_path, "warp2.ppm"))
self.assertTrue(err2.isOk)
extractor = faceEngine.createExtractor()
batch = faceEngine.createDescriptorBatch(2)
descriptor = faceEngine.createDescriptor()
aggr = faceEngine.createDescriptor()
res = extractor.extractFromWarpedImageBatch(warps, batch, aggr, 1)
self.assertFalse(res[0].isError)
res, value = extractor.extractFromWarpedImage(warps[0], descriptor)
self.assertTrue(res.isOk)
self.assertEqual(descriptor.getModelVersion(), batch.getModelVersion())
data_expected = descriptor.getData()
getErr, tmpDescriptorActual = batch.getDescriptorFast(0)
self.assertTrue(getErr.isOk)
data_actual = tmpDescriptorActual.getData()
descLength = descriptor.getDescriptorLength()
for j in range(descLength):
self.assertEqual(data_expected[j], data_actual[j])
del extractor
del batch
del descriptor
del aggr
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 extractorBatch(self, version, useMobileNet, cpuType, device):
configPath = os.path.join(self.dataPath, "faceengine.conf")
runtimeConfigPath = os.path.join(self.dataPath, "runtime.conf")
faceEngine = fe.createFaceEngine(self.dataPath)
self.assertTrue(make_activation(faceEngine))
config = fe.createSettingsProvider(configPath)
runtimeConf = fe.createSettingsProvider(runtimeConfigPath)
config.setValue("DescriptorFactory::Settings", "model",
fe.SettingsProviderValue(version))
config.setValue("DescriptorFactory::Settings", "useMobileNet",
fe.SettingsProviderValue(useMobileNet))
config.setValue("system", "verboseLogging",
fe.SettingsProviderValue(5))
config.setValue("FaceDetV3::Settings", "minFaceSize", 20)
runtimeConf.setValue("Runtime", "deviceClass",
fe.SettingsProviderValue(device))
runtimeConf.setValue("Runtime", "cpuClass",
fe.SettingsProviderValue(cpuType))
faceEngine.setSettingsProvider(config)
faceEngine.setRuntimeSettingsProvider(runtimeConf)
warps = [fe.Image(), fe.Image()]
err1 = warps[0].load(os.path.join(self.test_data_path, "warp1.ppm"))
self.assertTrue(err1.isOk)
err2 = warps[1].load(os.path.join(self.test_data_path, "warp2.ppm"))
self.assertTrue(err2.isOk)
extractor = self.faceEngine.createExtractor()
batch = self.faceEngine.createDescriptorBatch(2)
descriptor = self.faceEngine.createDescriptor()
res_batch, _, garbage_scores = extractor.extractFromWarpedImageBatch(
warps, batch, descriptor, 2)
self.assertTrue(res_batch.isOk)
with open(
self.test_data_path + "/batch12_" + str(version) +
"_actual.bin", "wb") as out_file:
for i in range(2):
getErr, descriptor_from_batch = batch.getDescriptorFast(i)
self.assertTrue(getErr.isOk)
out_file.write(descriptor_from_batch.getData())
for i_desc in range(2):
res, value = extractor.extractFromWarpedImage(
warps[i_desc], descriptor)
self.assertTrue(res.isOk)
self.assertEqual(descriptor.getModelVersion(),
batch.getModelVersion())
dataExpected = descriptor.getData()
getErr, tmpDescriptor = batch.getDescriptorFast(i_desc)
self.assertTrue(getErr.isOk)
dataActual = tmpDescriptor.getData()
descLength = descriptor.getDescriptorLength()
for j in range(descLength):
self.assertEqual(dataExpected[j], dataActual[j])
self.assertAlmostEqual(value, garbage_scores[i_desc], delta=0.0001)
# test of saving and loading from archive
batch_loaded = self.faceEngine.createDescriptorBatch(2)
err, full_data_default1 = batch.save()
self.assertTrue(err.isOk)
err_load = batch_loaded.load(full_data_default1,
len(full_data_default1))
self.assertTrue(err_load.isOk)
self.assertBatchDescriptorsEquality(batch, batch_loaded)
err, full_data_default2 = batch.save(fe.Save.Default)
self.assertTrue(err.isOk)
err_load = batch_loaded.load(full_data_default2,
len(full_data_default2))
self.assertTrue(err_load.isOk)
self.assertBatchDescriptorsEquality(batch, batch_loaded)
err, full_data_no_signature = batch.save(fe.Save.NoSignature)
self.assertTrue(err.isOk)
err_load = batch_loaded.load(full_data_no_signature,
len(full_data_no_signature))
# we cannot load batch from archive without signature
self.assertTrue(err_load.isError)
self.assertTrue(err_load.error, fe.SerializeError.Signature)
del extractor
del batch
del descriptor
del batch_loaded
def extractor(self, version, refGS, useMobileNet, cpuType, device):
versionString = str(version) + ("", "_mobilenet")[useMobileNet]
configPath = os.path.join(self.dataPath, "faceengine.conf")
runtimeConfigPath = os.path.join(self.dataPath, "runtime.conf")
faceEngine = fe.createFaceEngine(self.dataPath)
self.assertTrue(make_activation(faceEngine))
config = fe.createSettingsProvider(configPath)
runtimeConf = fe.createSettingsProvider(runtimeConfigPath)
config.setValue("DescriptorFactory::Settings", "model",
fe.SettingsProviderValue(version))
config.setValue("DescriptorFactory::Settings", "useMobileNet",
fe.SettingsProviderValue(useMobileNet))
config.setValue("FaceDetV3::Settings", "minFaceSize", 20)
config.setValue("system", "verboseLogging",
fe.SettingsProviderValue(5))
runtimeConf.setValue("Runtime", "deviceClass",
fe.SettingsProviderValue(device))
runtimeConf.setValue("Runtime", "verboseLogging",
fe.SettingsProviderValue(4))
runtimeConf.setValue("Runtime", "cpuClass",
fe.SettingsProviderValue(cpuType))
faceEngine.setSettingsProvider(config)
faceEngine.setRuntimeSettingsProvider(runtimeConf)
warp = fe.Image()
err = warp.load(os.path.join(self.test_data_path, "warp1.bmp"))
self.assertTrue(err.isOk)
warp.save(os.path.join(self.test_data_path, "outbmp.bmp"))
extractor = faceEngine.createExtractor()
descriptor = faceEngine.createDescriptor()
res, value = extractor.extractFromWarpedImage(warp, descriptor)
self.assertTrue(res.isOk)
data1 = descriptor.getData()
with open(
self.test_data_path + "/descriptor1_" + versionString +
"_actual.bin", "wb") as out_file:
out_file.write(data1)
self.assertAlmostEqual(refGS, value, delta=(0.02, 0.03)[useMobileNet])
refPath = os.path.join(self.test_data_path,
"descriptor1_" + versionString + ".bin")
with open(refPath, "rb") as file:
read_data = file.read()
descriptorExpected = faceEngine.createDescriptor()
err_load = descriptorExpected.load(read_data, len(read_data))
print(err_load)
self.assertTrue(err_load.isOk)
dataActual = descriptor.getData()
dataExpected = descriptorExpected.getData()
self.assertEqual(descriptorExpected.getModelVersion(),
descriptor.getModelVersion())
for i in range(descriptor.getDescriptorLength()):
self.assertEqual(dataActual[i], dataExpected[i])
descriptor_cases = {
descriptor: dataActual,
descriptorExpected: dataExpected
}
for i, data in descriptor_cases.items():
with self.subTest(descriptor=i):
self.assertDescriptors(i, data)
del extractor
del descriptor
def setUp(cls):
if not make_activation(cls.faceEngine):
raise ActivationLicenseError("License is not activated!")
