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Engagement Analysis with Head Pose Estimation is a computer vision project that utilizes Mediapipe library for facial landmarks detection, OpenCV for computer vision tasks, and NumPy/Pandas for data manipulation. It estimates head pose and gaze direction to determine whether the user is engaged or not.
OneStopVision is an open-source toolkit offering a comprehensive suite of algorithms for face and body analysis, landmark extraction, and ControlNet integration in Stable Diffusion.
This project, created for the "Vision and Cognitive Systems" course, employs generative networks with landmarks as priors to reconstruct full-size and small-size blind faces.