Rest api service to detect faces, with the ability to detect similarities in two images.

The project includes a template for testing

user_profile_picture	user_webcam_photo	Result

• python: version 3.6
• Flask 1.1.2
• face-recognition 1.3.0

• python3 -m venv ./venv
• source venv/bin/activate
• pip3 install -r requirements.txt
• export FLASK_APP=main.py
• flask run

/compareFaces [POST]

compare two images to find facial similarities (with format Base64 JSON)

Parameters Request

• user_profile_picture : Base 64 encode string of person
• user_webcam_photo : Base 64 encode string imagen to compare

Response

• 'True' : two images container faces similarities
• 'False' : two images not container similarities, or not container faces, or not container a parameter request

/compareFacesPath [POST]

compare two images to find facial similarities (with format Path request file)

Parameters Request

• user_profile_picture : file of person
• user_webcam_photo : file imagen to compare

Response

• 'True' : two images container faces similarities
• 'False' : two images not container similarities, or not container faces, or not container a parameter request

/detectFaces [POST]

analyzes an image to detect faces (with format Path request file)

Parameters Request

• profile_picture : file imagen to search faces

Response

• 'True' : image container a face
• 'False' : imagen not container a face, or not exist parameter request

These are the two parameters to adjust the image analysis (modify in config.py)

TOLERANCE :if value is low,the result will be more strict (default 0.55)

SIZE_CONVERT :Size to resize the images for better processing (default 128)

This project is under the license LICENSE.md.

Create with ❤️ by Carlos Mata