.. _face-features: Face Features Recognition ====================================== Subject to your needs, you can enable automatic recognition of such face features as gender, age, emotions, glasses, beard, and face mask. This functionality can be activated on both GPU- and CPU-accelerated video face detectors. .. rubric:: In this section: .. contents:: :local: Enable Face Features Recognition --------------------------------- .. important:: This step will enable face features recognition via HTTP API. To enable automatic recognition of face features, open the ``/etc/findface-extraction-api`` configuration file and enable relevant recognition models: gender, age, emotions, glasses, beard, and face mask. Be sure to choose the right acceleration type for each model, matching the acceleration type of ``findface-extraction-api``: CPU or GPU. Be aware that ``findface-extraction-api`` on CPU can work only with CPU-models, while ``findface-extraction-api`` on GPU supports both CPU- and GPU-models. .. code:: sudo vi /etc/findface-extraction-api.ini models: age: faceattr/age.v1.cpu.fnk emotions: faceattr/emotions.v1.cpu.fnk face: face/ifruit_320.cpu.fnk gender: faceattr/gender.v2.cpu.fnk beard: faceattr/beard.v0.cpu.fnk glasses3: faceattr/glasses3.v0.cpu.fnk medmask3: faceattr/medmask3.v2.cpu.fnk The following models are available: .. note:: You can find face features recognition models at ``/usr/share/findface-data/models/faceattr/``. .. code:: ls /usr/share/findface-data/models/faceattr/ age.v1.cpu.fnk age.v1.gpu.fnk beard.v0.cpu.fnk beard.v0.gpu.fnk emotions.v1.cpu.fnk emotions.v1.gpu.fnk gender.v2.cpu.fnk gender.v2.gpu.fnk glasses3.v0.cpu.fnk glasses3.v0.gpu.fnk medmask3.v2.cpu.fnk medmask3.v2.gpu.fnk liveness.v3.gpu.fnk quality.v1.cpu.fnk quality.v1.gpu.fnk +------------------+--------------+--------------------------------------------------------------------------------+ | Face feature | Acceleration | Configuration file parameter | +==================+==============+================================================================================+ | face | CPU | ``face: face/ifruit_320.cpu.fnk`` ``face: face/ifruit_160.cpu.fnk`` | | (biometry) +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face: face/ifruit_320.gpu.fnk`` ``face: face/ifruit_160.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | age | CPU | ``age: faceattr/age.v1.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``age: faceattr/age.v1.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | gender | CPU | ``gender: faceattr/gender.v2.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``gender: faceattr/gender.v2.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | emotions | CPU | ``emotions: faceattr/emotions.v1.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``emotions: faceattr/emotions.v1.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | glasses | CPU | ``glasses3: faceattr/glasses3.v0.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``glasses3: faceattr/glasses3.v0.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | beard | CPU | ``beard: faceattr/beard.v0.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``beard: faceattr/beard.v0.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | face mask | CPU | ``medmask3: faceattr/medmask3.v2.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``medmask3: faceattr/medmask3.v2.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ .. tip:: To disable a recognition model, simply pass an empty value to a relevant parameter. Do not remove the parameter itself as in this case the system will be searching for the default model. .. code:: models: gender: "" age: "" emotions: "" Restart ``findface-extraction-api``. .. code:: sudo systemctl restart findface-extraction-api Once the models are enabled, be sure to :ref:`configure ` the web interface to display the recognition results. .. _features-web: Display Features Recognition Results in Events -------------------------------------------------- To display the face features recognition results in the event list, add the following line into the ``FFSECURITY`` section: ``'EVENTS_FEATURES': ['gender', 'age', 'emotions', 'beard', 'glasses', 'medmask']``, subject to the list of enabled models. .. warning:: This line must be placed between ``SF_API_ADDRESS`` and ``LIVENESS_THRESHOLD`` as shown in the example. .. code:: sudo vi /etc/findface-security/config.py ... FFSECURITY = { ... 'SF_API_ADDRESS': 'http://127.0.0.1:18411', 'EVENTS_FEATURES': ['gender', 'age', 'emotions', 'beard', 'glasses', 'medmask'], 'LIVENESS_THRESHOLD': 0.75, 'BEARD_THRESHOLD': 0.7, } Restart ``findface-security``. .. code:: sudo systemctl restart findface-security Face Features in Events --------------------------------- Once the face features recognition configured, you will see the recognition result for each found face in the following format: +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ | Face feature | Result format | Example | +==================+===========================================================================================================+========================+ | Age | Feature: ``age``: number of years | age: 33 | +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ | Gender | Result: ``male/female`` (feature: ``gender``): algorithm confidence in result | female (gender): 0.95 | +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ | Emotions | Result: ``angry/disgust/fear/happy/sad/surprise`` (feature: ``emotions``): algorithm confidence | happy (emotions): 0.99 | | | in result | | +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ | Glasses | Result: ``eye/sun/none`` (feature: ``glasses``): algorithm confidence in result | none (glasses): 0.87 | +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ | Beard | Result: ``beard/none`` (feature: ``beard``): algorithm confidence in result | none (beard): 0.91 | +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ | Face mask | Result: ``none/correct/incorrect`` (feature: ``face mask``): algorithm confidence in result | none (face mask): 0.93 | +------------------+-----------------------------------------------------------------------------------------------------------+------------------------+ Filter events by face features when needed. |filters_en| .. |filters_en| image:: /_static/filters_en.png :scale: 50% .. |filters_ru| image:: /_static/filters_ru.png :scale: 50%