静默活体检测(Silent-Face-Anti-Spoofing)
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Updated
Oct 3, 2023 - Python
静默活体检测(Silent-Face-Anti-Spoofing)
An awesome face technology repository.
NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis
Face recognition & Face liveness detection SDK (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection!Supports Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android
Cork/Face Presentation Attack Detection
静默活体检测 Silent Face Anti-Spoofing Attack Detection
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
Face Liveness Detection SDK - iBeta Level 2 Compliant
towards the solving spoofing problem
Train code of face anti-spoofing with a single RGB frame
iBeta level 2 passive face liveness detection Android SDK which can detect printed photos, video replay, 3D masks, and deepfake threats
iBeta level 2 passive face liveness detection Android SDK which can detect printed photos, video replay, 3D masks, and deepfake threats
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
Apply Central Difference Convolutional Network (CDCN) for face anti spoofing
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions
Official implementation of the paper "FLIP: Cross-domain Face Anti-spoofing with Language Guidance". (ICCV 2023)
A Python anti-spoofing web app to distinguish real faces from fake ones based on live camera feed
Pretrained Keras model for face anti-spoofing or face liveness detection problem based on rPPG features
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