• This repository has been archived on 22/Aug/2019
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  • Rank 209,187 (Top 5 %)
  • Language
    Python
  • Created about 8 years ago
  • Updated almost 2 years ago

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Repository Details

An unofficial python wrapper for the Facebook face recognition endpoint

fbrecog

An unofficial python wrapper for the Facebook face recognition endpoint

fbrecog is a python wrapper that uses Facebook's face recognition to recognize faces in pictures.

How-To:

  1. Install fbrecog from pip pip install fbrecog
  2. Now simply import the recognize method from fbrecog module from fbrecog import recognize
  3. The recognize method takes 4 input args and returns an array of recognitions.
  4. To get the access token simply go to https://developers.facebook.com/tools/explorer and get a user access token with user_photos, publish_actions and user_posts permissions.
  5. Get your Facebook cookie and fb_dtsg token as follows:
  • Go to your Facebook profile.

  • Open chrome dev tools by Right Click > Inspect

  • Upload any picture. As it gets uploaded monitor the Network tab for 'dpr?' endpoint.

  • Click on it. Scroll down to Request Header. Copy the entire cookie string.

  • Scroll further down to Form Data. Copy the value of fb_dtsg parameter.

  1. Call the recognize method with the following parameters.
from pprint import pprint
from fbrecog import FBRecog
path = '1.jpg' # Insert your image file path here
path2 = '2.jpg' # Insert your image file path here
access_token = '#######' # Insert your access token obtained from Graph API explorer here
cookie = '###' # Insert your cookie string here
fb_dtsg = '###' # Insert the fb_dtsg parameter obtained from Form Data here.
# Instantiate the recog class
recog = FBRecog(access_token, cookies, fb_dtsg)
# Recog class can be used multiple times with different paths
print(recog.recognize(path))
print(recog.recognize(path2))

# Call recognize_raw to get more info about the faces detected, including their positions
pprint(recog.recognize_raw(path), indent=2)

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