QtMeshEditor-faceblendshapes-onnx is an ONNX model that converts facial images into ARKit-compatible blendshape scores, enabling facial animation and AR applications. It is based on Google MediaPipe's face blendshape model and is suitable for developers building real-time facial tracking or animation tools.
QtMeshEditor Faceblendshapes sits in PulseGate's Other AI category. Providing developers with an open-source model to extract ARKit-compatible face blendshape scores from facial images for animation or AR applications. QtMeshEditor Faceblendshapes is an open-source project aimed at computer vision developers and AR engineers. The project is open source (MIT). QtMeshEditor Faceblendshapes is available on the web and API, and it can be self-hosted.
Behind QtMeshEditor Faceblendshapes is fernandotonon, and the product first shipped in 2020. The project is developed in the open on GitHub with 41 stars and 839 commits in the last 90 days. Across PulseGate's embedding index, QtMeshEditor Faceblendshapes has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are face blendshape extraction, ONNX format, and ARKit compatibility.
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fernandotonon/QtMeshEditor-faceblendshapes-onnx discovered by the PulseGate indexer
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