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Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Dual model head pose estimation. Fusion of SOTA models. 360° 6D HeadPose detection. All pre-processing and post-processing are fused together, allowing end-to-end processing in a single inference.
It controls the computer's mouse pointer with eye gaze. We have used 4 pre-trained model that is provided by Open Model Zoo. The project's main aim is to check the usage of OpenVino ToolKit on different hardware which includes openvino inference API, OpenVino WorkBench, and VTune Profiler.