What facial attributes can deepface analyze?
deepface can analyze a variety of facial attributes including age, gender, emotion (angry, fear, neutral, sad, disgust, happy, surprise), and race (asian, white, middle eastern, indian, latino, black). It provides predictions for each of these categories from facial images.
Can deepface be used for real-time video analysis?
Yes, deepface includes a `stream` function that allows for real-time video analysis. It can access your webcam to apply both face recognition and facial attribute analysis, displaying results after focusing on a face for a few sequential frames.
What face recognition models does deepface support?
deepface is a hybrid framework that wraps several state-of-the-art face recognition models. These include VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace, GhostFaceNet, and Buffalo_L. Users can specify which model to use for their tasks.
Does deepface offer anti-spoofing capabilities?
Yes, deepface includes an anti-spoofing analysis module to determine if a given image is real or fake. This feature can be activated by setting the `anti_spoofing` argument to `True` in various DeepFace tasks, including face detection and real-time analysis.