Source code for annotations.FaceClustering

# -*- coding: UTF-8 -*-
:author:   Brigitte Bigi
:summary:  Set a person identity to detected faces of a video.

.. _This file is part of SPPAS: <>

     ___   __    __    __    ___
    /     |  \  |  \  |  \  /              the automatic
    \__   |__/  |__/  |___| \__             annotation and
       \  |     |     |   |    \             analysis
    ___/  |     |     |   | ___/              of speech

    Copyright (C) 2011-2021  Brigitte Bigi
    Laboratoire Parole et Langage, Aix-en-Provence, France

    Use of this software is governed by the GNU Public License, version 3.

    SPPAS is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    SPPAS is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with SPPAS. If not, see <>.

    This banner notice must not be removed.


This package requires video feature, for opencv and numpy dependencies.


import logging

from sppas.src.config import cfg
from sppas.src.config import sppasEnableFeatureError

# ---------------------------------------------------------------------------

if cfg.feature_installed("video") is False:
    # Define exception classes in case opencv&numpy are not installed.
    logging.warning("Face identification is disabled because it requires video feature.")

    class VideoPersonIdentity(object):
        def __init__(self):
            raise sppasEnableFeatureError("video")

[docs] class sppasFaceIdentifier(object):
[docs] def __init__(self, *args, **kwargs): raise sppasEnableFeatureError("video")
else: # Import the classes in case the "video" feature is enabled, # opencv&numpy are both installed and the automatic can work. from .identifycoords import VideoCoordsIdentification from .sppasfaceid import sppasFaceIdentifier # --------------------------------------------------------------------------- __all__ = ( "VideoCoordsIdentification", "sppasFaceIdentifier" )