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face-clustering

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0.1 face_clustering-0.1-py3-none-any.whl

Wheel Details

Project: face-clustering
Version: 0.1
Filename: face_clustering-0.1-py3-none-any.whl
Download: [link]
Size: 1308
MD5: 4a5cf01ff83306ed57b6fc5e0d1f5c58
SHA256: a1d0c27becbdabac4a235f0209dc969564a7901c6d7462de554f184e44fe8e89
Uploaded: 2023-09-13 06:35:49 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

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.
Author: Aryan Sharma
Author-Email: aryansharma2909[at]gmail.com
Requires-Dist: opencv-python
Requires-Dist: dlib
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: face-recognition
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
face_clustering-0.1.dist-info/METADATA sha256=SmE_FXxRwb-eFwCwK3sDVDUVqUS5CgMXqSXrT0F722s 701
face_clustering-0.1.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
face_clustering-0.1.dist-info/top_level.txt sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
face_clustering-0.1.dist-info/RECORD — —

top_level.txt

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