Skip to main content

A toolkit for facial recognition and mapping using OpenCV and Dlib.

Project description

Face Recognition Toolkit

Description

The Face Recognition Toolkit is a Python package for facial recognition and mapping using OpenCV and Dlib. It provides functionality to detect faces, map facial landmarks, and generate unique token IDs for each captured face, which can be integrated with onboarding platforms for web, iOS, and Android.

Features

  • Detect faces in an image using OpenCV.
  • Map facial landmarks using Dlib.
  • Generate unique token IDs for each captured face.
  • Save processed images with landmarks.
  • Easy integration with web, iOS, and Android platforms.

Installation

pip install face_recognition_toolkit
git clone https://github.com/Nguthirukar/face_recognition_toolkit

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Face_recognition_Tokenizer-0.1.0.tar.gz (1.6 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file Face_recognition_Tokenizer-0.1.0.tar.gz.

File metadata

File hashes

Hashes for Face_recognition_Tokenizer-0.1.0.tar.gz
Algorithm Hash digest
SHA256 9dec4c9bc1e62e5e04f11d61cd5cd580b531aa6d8482a710b41bf2190488adae
MD5 c2cf3008ecba5de252f27b4ca834b860
BLAKE2b-256 f303520070192802d007b3658fc6f86c03fc6ae37c784365c828ab2ba921aeb2

See more details on using hashes here.

File details

Details for the file Face_recognition_Tokenizer-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for Face_recognition_Tokenizer-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 16fa399deb6175ad843670dda7f01eb55bb2ce82a848a47410b166963d5c140f
MD5 e6aa79a2cc7a30ab756fbdd0b8c54e5a
BLAKE2b-256 cfcdbdab556b639141b24d2b5538959a8cd543408765aee937ed44ae03a006ba

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page