enroll method

@override Future<FaceTemplate> enroll(String label, List<Face> samples)

Enroll a new face from multiple sample captures.

label is a human-readable name (e.g. "Owner"). samples should contain at least 3 face captures for accuracy.

Implementation

@override
Future<FaceTemplate> enroll(String label, List<Face> samples) async {
  if (samples.isEmpty) {
    throw ArgumentError(
        'At least one face sample is required for enrollment');
  }

  final featureVectors = <List<double>>[];
  for (final face in samples) {
    final features = FaceFeatureExtractor.extractFeatures(face);
    if (features != null) {
      featureVectors.add(features);
    }
  }

  if (featureVectors.isEmpty) {
    throw StateError(
      'Could not extract features from any sample. '
      'Ensure ML Kit is configured with enableContours: true.',
    );
  }

  final averaged = FaceFeatureExtractor.averageFeatures(featureVectors);

  final body = await _post('/enroll', {
    'label': label,
    'features': averaged,
  });

  return FaceTemplate.fromJson(body);
}