Metadata-Version: 2.1
Name: face-clustering
Version: 0.1
Summary: 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.
Home-page: UNKNOWN
Author: Aryan Sharma
Author-email: aryansharma2909@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Requires-Dist: opencv-python
Requires-Dist: dlib
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: face-recognition

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