v3.27.0
3.27.0 (July 30, 2025)
What's New
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Introduced a new processing block
DEEPFAKE_ESTIMATORfor detecting AI-generated faces in images. Deepfake technology is rapidly gaining popularity and poses a serious threat to facial biometric systems by enabling effective identity spoofing attacks. The newDEEPFAKE_ESTIMATORblock in Face SDK is our response to modern cybersecurity challenges. -
Added support for the TensorRT inference framework. Now all Processing Block API modules that can run on Nvidia GPUs support inference via TensorRT. Using TensorRT for your Face Recognition pipelines means achieving maximum possible performance on your GPU!
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Added support for OpenVINO. Most Face SDK Processing Blocks now support using the OpenVINO framework for inference. If you run on Intel processors with modern instruction support, you can boost your face recognition pipeline speed by up to 50%.
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Added a new Python API for Processing Blocks with support for running without the Global Interpreter Lock (
-no-gil). This allows Python users to efficiently parallelize their face recognition pipelines! -
Dropped support for CUDA 10.2, which was released nearly six years ago — time to move forward. CUDA 11.x and 12.x are supported.
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Released a new version of the
LIVENESS_ESTIMATORprocessing block (2d_ensemble variant), which improves spoof attack detection accuracy by 30% compared to the previous version.