Debugged Algorithm for Eye Localization and Face Detection

This code provides a thoroughly debugged implementation of eye localization and face detection algorithms. The algorithm leverages deep learning techniques to accurately localize eyes by analyzing facial landmarks and contours within images, while employing face detection methods to identify and recognize human faces. Through extensive experimentation and optimization, this implementation ensures reliability and accuracy across diverse scenarios. Key features include robust preprocessing, efficient convolutional neural network (CNN) architectures for feature extraction, and post-processing techniques for refinement. The code can be widely applied in facial recognition systems, expression analysis, eye-tracking applications, and various AI-powered solutions, providing strong foundational support for advanced computer vision projects. With this debugged algorithm code, developers can more efficiently create high-performance applications for eye localization and face detection.