Install DeepFace in Python Step by Step

DeepFace is a powerful Python library for face recognition. It uses deep learning to analyze and compare faces. This guide will help you install it easily.

Prerequisites

Before installing DeepFace, ensure you have Python 3.6 or higher. You also need pip for package management.

Check your Python version with:

 
import sys
print(sys.version)

3.8.5 (default, Jan 27 2021, 15:41:15)

Step 1: Install DeepFace

Use pip to install DeepFace. Run this command in your terminal:

pip install deepface

Wait for the installation to complete. If you face issues, check our guide on How To Solve ModuleNotFoundError.

Step 2: Verify Installation

After installation, verify it works. Open Python and import DeepFace:

 
from deepface import DeepFace
print("DeepFace installed successfully!")

DeepFace installed successfully!

Step 3: Install Dependencies

DeepFace requires other libraries like TensorFlow and OpenCV. Install them with:

pip install tensorflow opencv-python

These libraries help with deep learning and image processing.

Step 4: Test DeepFace

Now, test DeepFace with a simple face detection script:

 
from deepface import DeepFace
import cv2

# Load an image
img = cv2.imread("face.jpg")

# Analyze the face
result = DeepFace.analyze(img, actions=['age', 'gender', 'emotion'])

print(result)

{'age': 25, 'gender': 'Male', 'emotion': 'happy'}

Common Issues

If you get errors, ensure all dependencies are installed. Check your Python environment.

For missing modules, refer to our guide on ModuleNotFoundError solutions.

Conclusion

Installing DeepFace in Python is simple. Follow these steps to get started with face recognition. Now you can explore its powerful features.