loadModel method
モデルをロード
Implementation
Future<void> loadModel() async {
_options.threads = 4;
try {
await _interpreter.fromAsset(
'assets/mlmodels/evaluate_pose_model.tflite',
options: _options,
);
if (kDebugMode) {
print('Interpreter loaded successfully');
}
} catch (_) {
throw ServiceException(
ServiceErrorType.loadModelError,
ServiceErrorType.loadModelError.message,
);
}
}