How to Do Face Comparison Using Python

Get Access to Eden AI API

1. Before implementing the face comparison feature, you need access to the Eden AI API. Visit Eden AI and sign up for an account. Once registered, navigate to the API section to obtain your API key. This key will give you access to a wide range of AI services including face comparison.

2. Navigate to Image Technologies – After logging in, go to the image section of the platform.

3. Select Face Comparison– Choose the face comparison feature or explore advanced options based on your needs.

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Live Test Models on Eden AI

Eden AI provides an interface where you can test different AI models before integrating them into your application. This allows you to evaluate which provider best meets your needs.

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Install Python's Requests Module

Ensure that you have the requests module installed. If you haven’t installed it yet, run:

pip install requests

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Prepare the Code

Below is a Python script to interact with the Eden AI API for face comparison:

import requests

# Set up API authentication
headers = {"Authorization": "Bearer YOUR_API_KEY"}

# Define the API URL
url = "https://api.edenai.run/v2/image/face_compare"

# Prepare the JSON payload with image URLs
json_payload = {
    "providers": "facepp, base64",
    "file1_url": "URL_of_your_reference_image",
    "file2_url": "URL_of_your_query_image",
}

# Send the POST request
response = requests.post(url, json=json_payload, headers=headers)

# Print the response
print(response.json())

API Authentication:

• The Authorization header contains the API key required to authenticate requests.

JSON Payload:

• providers: Specifies the AI providers to use for face comparison.
• file1_url: The URL of the reference image.
• file2_url: The URL of the image to be compared.

API Request:

• The script sends a POST request to Eden AI’s face comparison endpoint with the JSON payload.

Response Handling:

• The response is printed in JSON format, containing the comparison results.

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Example Output

{
  "facepp": {
    "similarity": 89.5,
    "confidence": 92.3,
    "status": "success"
  }
}

• similarity: Indicates how similar the two faces are (0-100%).
• confidence: The confidence level of the AI model’s prediction.
• status: Indicates whether the comparison was successful.

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