The pipeline uses state-of-the-art computer vision techniques, including face detection, feature extraction, and clustering algorithms. The face detection module can detect faces under different lighting conditions and poses, while the feature extraction module extracts high-dimensional feature vectors that capture the unique characteristics of each face.
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The pipeline uses state-of-the-art computer vision techniques, including face detection, feature extraction, and clustering algorithms. The face detection module can detect faces under different lighting conditions and poses, while the feature extraction module extracts high-dimensional feature vectors that capture the unique characteristics of each face.
We found that face-clustering demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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