deepface facial recognition system in python

Deepface is a state-of-the-art facial recognition system that is open source and available in Python.

Here's how to get started:

1. First, make sure you have installed the following packages via pip:

main.py
pip install deepface
pip install opencv-python
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2. Next, import the DeepFace module:

main.py
from deepface import DeepFace
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3. To use the facial recognition system, you can call the verify function, which takes two images as input and returns a JSON object with various facial recognition metrics. Here is an example:

main.py
img1_path = "/path/to/image1.jpg"
img2_path = "/path/to/image2.jpg"

result = DeepFace.verify(img1_path, img2_path)

print(result)
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This will print a JSON object with facial recognition metrics like 'cosine similarity', 'euclidean distance', etc.

4. Additionally, you can use various other functions provided by the DeepFace module like analyze (for face analysis), detectFace (for detecting faces in an image), and find (for finding the closest match of an image in a database). You can find more information on how to use these functions in the official documentation.

There you have it, you can now use the DeepFace facial recognition system in Python.