FaceAPI provides AI-powered facial analysis for both browser and NodeJS environments, leveraging TensorFlow.js. It offers capabilities like face detection, rotation tracking, description, recognition, and prediction of age, gender, and emotion, targeting web developers and backend engineers.

How It Works

The library utilizes TensorFlow.js for its core machine learning operations, enabling it to run directly in the browser or on Node.js servers. It offers pre-bundled and non-bundled versions of TensorFlow.js, allowing flexibility in managing dependencies and potentially optimizing for specific environments or custom TFJS versions. The NodeJS examples showcase efficient processing through multiprocessing, distributing tasks across worker threads for improved performance.

Quick Start & Requirements

• Browser: Include via CDN: <script src="https://cdn.jsdelivr.net/npm/@vladmandic/face-api/dist/face-api.js"></script>
• NodeJS: Install @tensorflow/tfjs-node or @tensorflow/tfjs-node-gpu.
• NodeJS Compatibility: Node.js versions 14-22 supported. Versions 23+ are not supported due to TensorFlow.js incompatibility.
• Documentation: https://vladmandic.github.io/face-api/demo/webcam.html, https://vladmandic.github.io/face-api/demo/index.html

Highlighted Details

• Supports face detection, recognition, and attribute prediction (age, gender, emotion).
• Offers NodeJS multiprocessing for parallel task execution.
• Provides multiple build formats (IIFE, ESM, CommonJS) for browser and Node.js.
• Compatible with TensorFlow.js versions 2.0+ and 3.0+.

Maintenance & Community

The project appears to be maintained by a single author, Vlad Mandic. There are no explicit links to community channels like Discord or Slack provided in the README.

Licensing & Compatibility

The README does not explicitly state a license. However, the presence of LICENSE file in the repository root (not detailed in README) would typically indicate the licensing terms. Compatibility for commercial use would depend on this license.

Limitations & Caveats

Node.js versions 23 and higher are explicitly not supported due to TensorFlow.js compatibility issues. The README does not detail performance benchmarks or specific hardware requirements beyond the NodeJS GPU acceleration note.