Identities are known specific instances of an object that can be later recognized. For example, a picture of a person's face can be encoded and associated with that person's identity so that they can be recognized when they're in a video stream.
Identities can also be associated with vectors directly in cases where the encoding of an object is known ahead-of-time, like in the case of a fiducial tag.
"""Creates an identity for a specific skew of car using a picture of that
car.
"""
from pathlib import Path
from brainframe.api import BrainFrameAPI
from brainframe.bf_codecs import Identity
api = BrainFrameAPI("http://localhost")
civic_image_bytes = Path("civic.jpg").read_bytes()
# Upload the image to the server
storage_id = api.new_storage(civic_image_bytes, "image/jpeg")
# Create the new identity for the car skew
identity = api.set_identity(Identity(
unique_name="g10-R16B-blue-sedan",
nickname="Honda Civic 2018 Blue Sedan",
))
# Encode an image of the skew and associate that encoding with the identity
api.new_identity_image(identity.id, "car", storage_id)brainframe.api.BrainFrameAPI.get_identity
brainframe.api.BrainFrameAPI.get_identities
brainframe.api.BrainFrameAPI.set_identity
brainframe.api.BrainFrameAPI.delete_identity
brainframe.api.BrainFrameAPI.new_identity_image
brainframe.api.BrainFrameAPI.new_identity_vector
brainframe.api.BrainFrameAPI.get_encoding
brainframe.api.BrainFrameAPI.get_encodings
brainframe.api.BrainFrameAPI.get_encoding_class_names
brainframe.api.BrainFrameAPI.delete_encoding
brainframe.api.BrainFrameAPI.delete_encodings
brainframe.api.bf_codecs.identity_codecs