Skip to main content

To Capture user face and store it in database

Project description

FaceDatabse-Identifier

A simple python package to identify the user on bases of there face and store there features in database

Sample Code :

from facetranscript import *

if __name__=="__main__":
    face = CaptureFaceInDataBase()
    # Capture photo from front camera for user -> 'TestUser'
    face.take_photo(username="TestUser")
    # Fetch all stored users and there images in database 
    face_list = face.get_all_users()
    # face_list is list [a,b,c...] where a,b,c.. are list of users with there images(Bytes)
    print(face_list)
    # To terminate all connections (camera/database)
    face.close_all_connections()

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

facetranscript-0.0.2.tar.gz (4.9 kB view details)

Uploaded Source

File details

Details for the file facetranscript-0.0.2.tar.gz.

File metadata

  • Download URL: facetranscript-0.0.2.tar.gz
  • Upload date:
  • Size: 4.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for facetranscript-0.0.2.tar.gz
Algorithm Hash digest
SHA256 80303d3d5b683f70168b7c35e7763933ddba9496d691f796d32b5daf24168f16
MD5 b782a025ba30ca98431f3a31129efb4c
BLAKE2b-256 0ae39de570b0db7641b4daff61e7e93299881c3cec8b118029fbe855fcbbe4c7

See more details on using hashes here.

Supported by

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