OpenCV Face Recognition

This OpenCV application can detect and recognize your face, in real-time (using a webcam).

To run it yourself, follow these steps:

1. Change the sub_dataset variable (in the create_data.py file) to the name of the person whose face you're going to store.
2. Run create_data.py and wait for it to complete. Look into the camera at a few different angles and do this in a room with decent lighting.
3. If everything goes well, you may run face_recognize.py and watch it detect and recognize your face! It may take a while to train the classifier depending on a number of factors (size of your datasets, your hardware, etc.)

Tips:

1. I recommend that you have multiple sub datasets of your face created with different lighting, face angle, etc. You can achieve this by putting spaces after your name in the create_data.py file.
2. When you run face_recognize.py, look at your camera and sit in the position you did when you created your face's dataset(s).
3. If you want to increase the chance of your face being recognized, create multiple sub datsets of your face.
4. You can also increase the number of pictures per sub dataset by changing the number in the while loop in the create_data.py file. This may also increase the chance of your face being recognized.

Tested using:

- Python 3.5.2
- OpenCV 3.4.3.18
- NumPy 1.15.1
- elementary OS 0.4.1 Loki (Ubuntu 16.04.5 - Linux 4.15.0-46-generic)