Bravo SDK Library for Python
Project description
Bravo Python SDK : White Labeled
Project description
This distribution only supports the Bravo Organization. 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 Bravo 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 bravo_python_sdk
If you have the bravo_python_sdk package installed and want to upgrade to the latest version, you can run:
python -m pip install --upgrade bravo_python_sdk
This will install the bravo_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 bravo_python_sdk.factor import FaceFactor
from bravo_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.
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