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Real time Facial Recognition using the face_recognition module and ip cameras.

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Realtime_FacialRecognition

Real time Facial Recognition using the face_recognition module and ip cameras.

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Prerequisites:

1 - Python

2 - OpenCV

3 - Sklearn

4 - PIL (pillow)

5 - numpy

How to Use:

1 - Clone the repo.

2 - Install the required libraries.

3 - Find your camera ip and change it in the code, in a rare case when opencv can't crack open your ip camera url, use specific my repo for acquiring images from ip cams using urrlib at https://github.com/KiLJ4EdeN/IPCAM_urllib.

4 - To add training examples of your own, Go to knn_examples/train, each folder name represents a person and inside that folder will be images related to that person for the knn to be trained.

5 - Run facerec_ipcamera_knn.py.

6 - Use q to quit the stream anytime.

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Real time Facial Recognition using the face_recognition module and ip cameras.

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