.. _face-features: Enable Face Attribute Recognition ====================================== Face attributes, such as age, gender, emotions, etc., are present in the filter set for detected face analysis during a :ref:`case investigation `. Face attribute recognition can be automatically enabled and configured during the :ref:`FindFace CIBR installation `. If you skip this step, you can manually do it later. Face attribute recognition works on both GPU- and CPU-acceleration. Do the following: #. Open the ``/opt/findface-cibr/configs/findface-extraction-api/findface-extraction-api.yaml`` configuration file. .. code:: sudo vi /opt/findface-cibr/configs/findface-extraction-api/findface-extraction-api.yaml #. Specify the relevant recognition models in the ``extractors`` section, as shown in the example below. Be sure to indicate 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. .. rubric:: GPU .. code:: extractors: ... models: face_age: faceattr/age.v2.gpu.fnk face_beard: faceattr/beard.v0.gpu.fnk face_beard4: '' face_countries47: '' face_emben: face/mango_320.gpu.fnk face_emotions: faceattr/emotions.v1.gpu.fnk face_eyes_attrs: '' face_eyes_openness: '' face_gender: faceattr/gender.v2.gpu.fnk face_glasses3: faceattr/glasses3.v0.gpu.fnk face_glasses4: '' face_hair: '' face_headpose: '' face_headwear: '' face_highlight: '' face_liveness: faceattr/liveness.web.v0.gpu.fnk face_luminance_overexposure: '' face_luminance_underexposure: '' face_luminance_uniformity: '' face_medmask3: faceattr/medmask3.v2.gpu.fnk face_medmask4: '' face_mouth_attrs: '' face_quality: faceattr/quality_fast.v1.gpu.fnk face_scar: '' face_sharpness: '' face_tattoo: '' face_validity: '' .. rubric:: CPU .. code:: extractors: ... models: face_age: faceattr/age.v2.cpu.fnk face_beard: faceattr/beard.v0.cpu.fnk face_beard4: '' face_countries47: '' face_emben: face/mango_320.cpu.fnk face_emotions: faceattr/emotions.v1.cpu.fnk face_eyes_attrs: '' face_eyes_openness: '' face_gender: faceattr/gender.v2.cpu.fnk face_glasses3: faceattr/glasses3.v0.cpu.fnk face_glasses4: '' face_hair: '' face_headpose: '' face_headwear: '' face_highlight: '' face_liveness: faceattr/liveness.web.v0.cpu.fnk face_luminance_overexposure: '' face_luminance_underexposure: '' face_luminance_uniformity: '' face_medmask3: faceattr/medmask3.v2.cpu.fnk face_medmask4: '' face_mouth_attrs: '' face_quality: faceattr/quality_fast.v1.cpu.fnk face_scar: '' face_sharpness: '' face_tattoo: '' face_validity: '' The following extraction models are available: +------------------+--------------+--------------------------------------------------------------------------------+ | Extractor | Acceleration | Configure as follows | +==================+==============+================================================================================+ | age | CPU | ``face_age: faceattr/age.v2.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_age: faceattr/age.v2.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | beard | CPU | ``face_beard: faceattr/beard.v0.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_beard: faceattr/beard.v0.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | face feature | CPU | ``face_emben: face/mango_320.cpu.fnk`` | | vector +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_emben: face/mango_320.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | gender | CPU | ``face_gender: faceattr/gender.v2.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_gender: faceattr/gender.v2.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | emotions | CPU | ``face_emotions: faceattr/emotions.v1.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_emotions: faceattr/emotions.v1.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | glasses | CPU | ``face_glasses3: faceattr/glasses3.v0.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_glasses3: faceattr/glasses3.v0.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | face liveness | CPU | ``face_liveness: faceattr/liveness.web.v0.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_liveness: faceattr/liveness.web.v0.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | face mask | CPU | ``face_medmask3: faceattr/medmask3.v2.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_medmask3: faceattr/medmask3.v2.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ | face quality | CPU | ``face_quality: faceattr/quality_fast.v1.cpu.fnk`` | | +--------------+--------------------------------------------------------------------------------+ | | GPU | ``face_quality: faceattr/quality_fast.v1.gpu.fnk`` | +------------------+--------------+--------------------------------------------------------------------------------+ .. note:: You can find face attribute recognition models at ``/opt/findface-cibr/models/faceattr/``. .. code:: ls /opt/findface-cibr/models/faceattr/ age.v2.cpu.fnk emotions.v1.cpu.fnk glasses3.v0.cpu.fnk medmask3.v2.cpu.fnk age.v2.gpu.fnk emotions.v1.gpu.fnk glasses3.v0.gpu.fnk medmask3.v2.gpu.fnk beard.v0.cpu.fnk gender.v2.cpu.fnk liveness.web.v0.cpu.fnk quality_fast.v1.cpu.fnk beard.v0.gpu.fnk gender.v2.gpu.fnk liveness.web.v0.gpu.fnk quality_fast.v1.gpu.fnk #. Restart the ``findface-cibr-findface-extraction-api-1`` container. .. code:: sudo docker container restart findface-cibr-findface-extraction-api-1 #. Enable recognition of face attributes in the ``/opt/findface-cibr/configs/findface-multi-legacy/findface-multi-legacy.py`` configuration file. In the ``FFSECURITY`` section, specify the face attributes that you want to display for the face recognition events. .. code:: # make sure that corresponding extractors are licensed # and enabled at findface-extraction-api config file # available features: age, beard, emotions, gender, glasses, medmask 'FACE_EVENTS_FEATURES': ['emotions', 'beard', 'gender', 'age', 'medmask', 'glasses'], #. Restart the ``findface-cibr-findface-multi-legacy-1`` container. .. code:: sudo docker container restart findface-cibr-findface-multi-legacy-1