Quick start

Step 1 – Request a license

To use the SDK, you need to get a license:

Step 2 – Install the SDK

  1. Download the archive on our cloud drive (the link should provided by our sales department)

  2. Uncompress the archive.

SDK Archive

id3 Face SDK is delivered as a compressed archive (ZIP file) that contains the following directories and files:

├───activation                      # License activation tools for Windows, Linux and Jetson Nano
│   ├───cli-tool
│   └───windows-tool
├───bin                             # Native libraries
│   ├───android
│   ├───apple
│   ├───linux
│   └───windows
├───dart                            # Dart wrapper
│   └───id3_face
├───docs                            # API reference and Developer Guide
│   ├───3rdparty
│   ├───developer-guide
│   └───javadoc
├───dotnet                          # .NET dynamic libraries
├───include                         # C header files
├───java                            # Java jar archives
├───python                          # Python package
├── CHANGELOG.md
├── LICENSE.md
└── README.md

Install the Python package

Select the suitable wheel file for our platform and Python version, and run

pip install id3face-x.y.z-cp311-cp311-win_amd64.whl

Step 3 – Download the AI models

id3 Face SDK requires AI models to run. They are common to every platform and should be distributed according to the application’s needs.

Important

Models can be downloaded at the following URL:

Since there are lots of models in the folder, it is recommended to download and deploy only the necessary ones for the application.

See AI Models for details.

Step 4 – Run the samples

id3 Face SDK contains sample projects for the following programming platforms and languages:

  • Windows, Linux (C/C++)

  • .NET (C#)

  • Flutter (Dart)

  • Android (Kotlin + Java)

  • iOS (Swift)

Note

Those samples are not delivered in the ZIP archive.

Samples demonstrate how to use the main functionalities of the id3 Face SDK, including:

  • one-to-one face comparison

  • face PAD

  • face portrait analysis