registerCustomClassifier method

Future<bool> registerCustomClassifier({ required String modelAssetPath, required List<String> labels, double threshold = 0.5, })

Registers a custom TensorFlow Lite or CoreML model for real-time edge classification.

Implementation

Future<bool> registerCustomClassifier({
  required String modelAssetPath,
  required List<String> labels,
  double threshold = 0.5,
}) {
  if (!_isRunning) throw StateError('Camera is not running.');
  if (modelAssetPath.trim().isEmpty) {
    throw ArgumentError.value(
      modelAssetPath,
      'modelAssetPath',
      'Model asset path cannot be empty.',
    );
  }
  if (labels.isEmpty) {
    throw ArgumentError.value(
      labels,
      'labels',
      'Labels list cannot be empty.',
    );
  }
  return NexoraSdkPlatform.instance.registerCustomClassifier(
    modelAssetPath: modelAssetPath,
    labels: labels,
    threshold: threshold,
  );
}