Recognize faces of thieves captured with CCTV using the world's simplest face recognition library.
Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
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Python 3.3+ or
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clone this repository
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git clone
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#do a pip install
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pip install -r requirements.txt
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#modify the database in the settings.py which is this part DATABASES = { 'default': { 'NAME': 'crime_identify', 'ENGINE': 'mysql.connector.django', 'USER': 'root', 'PASSWORD': 'moswa', 'OPTIONS': { 'autocommit': True, }, } }
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#create a database with the name of your choice
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#import the sql crime_identify.sql in the root folder for the project you cloned
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#you can also run a python migrate if you do not want the data populated in my database
- Thanks to this repository https://github.com/ageitgey/face_recognition for making this possible
- Thanks to everyone who works on all the awesome Python data science libraries like numpy, scipy, scikit-image, pillow, etc, etc that makes this kind of stuff so easy and fun in Python.