Python Face Id Example

Initialize faceID model

from oneML import faceAPI as api

embedder = api.FaceEmbedder()
face_id = api.FaceId(embedder)

Initialize faceID model with licensing

from oneML import faceAPI as api
license_manager = api.LicenseManager()
license_manager.set_key("LICENSE_KEY_VALUE_HERE")
license_manager.activate_key()
embedder = api.FaceEmbedder(license_manager)
face_id = api.FaceId(embedder, license_manager)

Read input as numpy array

img1 = np.array(cv2.cvtColor(cv2.imread(image_path), cv2.COLOR_BGR2RGB), dtype=np.uint8)
imgs1 = np.expand_dims(img1, axis=0)

img2 = np.array(cv2.cvtColor(cv2.imread(image_path), cv2.COLOR_BGR2RGB), dtype=np.uint8)
imgs2 = np.expand_dims(img2, axis=0)

Run the model for verification

is_same = face_id.is_the_same_person_img(img1, img2)

Run the model for identification

result = face_id.predict(img)

And get the output

status = result.get_return_status()
is_identifiable = result.is_identifiable()
id = result.get_id()
nearestDistance = result.get_nearest_node_distance()
combinedDistance = result.get_combined_distance()