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.
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file face_clustering-0.1.tar.gz.
File metadata
- Download URL: face_clustering-0.1.tar.gz
- Upload date:
- Size: 1.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b49a9f5fb2edce1778986a1978fd5120a9f534c639a465e468f0055e5c065237
|
|
| MD5 |
a2273d68f12eb359e56282219d1e6fc1
|
|
| BLAKE2b-256 |
835833a4e95cb7feff45a5b6b0df35d7ceac828389fd8d82312b7720a4466ebc
|
File details
Details for the file face_clustering-0.1-py3-none-any.whl.
File metadata
- Download URL: face_clustering-0.1-py3-none-any.whl
- Upload date:
- Size: 1.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a1d0c27becbdabac4a235f0209dc969564a7901c6d7462de554f184e44fe8e89
|
|
| MD5 |
4a5cf01ff83306ed57b6fc5e0d1f5c58
|
|
| BLAKE2b-256 |
bdeaaa451f010d3efea9d9efc93fe510819c1f40db2fa47f82542eaf981cd2c8
|