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This package provides an interface to CryptoNets™ 1:N fully homomorphically encrypted (FHE) face recognition, Ultrapass™ ID and human age estimation.

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CryptoNets Python SDK

Project description

This package provides an interface to CryptoNets™ 1:N fully homomorphically encrypted (FHE) face recognition, Ultrapass™ ID and human age estimation.

Getting Started

Sign up on the waitlist on https://private.id to obtain your apiKey.

Requirements

  • Python >= 3.6

Notices

Licensing Restriction: This SDK is not licensed for use in regulated gaming. To license CryptoNets in this market, please contact CentralAMS.

Installation

Installation of the CryptoNets Python SDK and its dependencies is provided by pip. If pip is not installed, see the pip user guide to install pip.

To ensure smooth installation, it’s recommended to use:

  • pip: 9.0.2 or greater

The safest way to install the SDK is to use pip in a virtualenv:

python -m pip install cryptonets_python_sdk

If you have the cryptonets_python_sdk package installed and want to upgrade to the latest version, you can run:

python -m pip install --upgrade cryptonets_python_sdk

This will install the cryptonets_python_sdk package as well as all dependencies. See the installation section of the SDK homepage Guide for more information.

Usage

You will receive the Server URL and apiKey when you subscribe.

Import Face factor

from cryptonets_python_sdk.factor import FaceFactor

from cryptonets_python_sdk.settings.loggingLevel import LoggingLevel

Initialize and use factor

server_url = URL of the server

api_key = APIKEY issued on successful signup

server = FaceFactor(url=server_url, api_key=api_key,
        logging_level=LoggingLevel.full)

License

Private Identity License Copyright (c) 2020-present, Private Identity All rights reserved.

More Resources:

Getting Started

Installation

Usage

SDK-Docs

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This package provides an interface to CryptoNets™ 1:N fully homomorphically encrypted (FHE) face recognition, Ultrapass™ ID and human age estimation.

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