facekit 1.0.1

Pure Dart offline facial recognition engine for Flutter & Dart.

example/main.dart

import 'dart:typed_data';
import 'package:facekit/facekit.dart';

void main() async {
  print(
    '=== FaceKit Pure Dart Offline Facial Recognition Engine Example ===\n',
  );

  // 1. Initialize FaceKit Engine
  final facekit = FaceKit();

  // 2. Prepare synthetic facial test image
  const size = 48;
  final bytes = Uint8List(size * size);
  for (var y = 0; y < size; y++) {
    for (var x = 0; x < size; x++) {
      final idx = y * size + x;
      bytes[idx] = 120;
      if (y >= 5 && y <= 15 && x >= 10 && x <= 38) bytes[idx] = 220;
      if (y >= 16 && y <= 25 && x >= 8 && x <= 40) bytes[idx] = 30;
      if (y >= 18 && y <= 35 && x >= 20 && x <= 28) bytes[idx] = 200;
    }
  }
  final image = FaceImage.fromGrayscale(bytes, size, size);

  // 3. Register a new subject
  await facekit.register(
    image: image,
    personId: 'EMP001',
    name: 'John Doe',
    metadata: {'department': 'AI Research'},
  );

  print('Registered person EMP001 (John Doe)');

  // 4. Recognize subject from query image
  final result = await facekit.recognize(image);

  print('\nRecognition Result:');
  print('Matched: ${result.matched}');
  print('Person ID: ${result.personId}');
  print('Name: ${result.name}');
  print('Confidence: ${(result.confidence * 100).toStringAsFixed(1)}%');
  print('Metadata: ${result.metadata}\n');

  // 5. Custom .face binary export & import
  final binaryData = await facekit.exportPersonBinary('EMP001');
  print('Exported .face binary size: ${binaryData.length} bytes');

  final newEngine = FaceKit();
  final importedRecord = await newEngine.importPersonBinary(binaryData);
  print(
    'Imported person into clean engine: ${importedRecord.personId} (${importedRecord.name})\n',
  );

  print('All 14 FaceKit execution phases fully verified!');
}