getImagePredictionList method

Future<List<double>> getImagePredictionList(
  1. int index,
  2. Uint8List? imageData,
  3. List<Uint8List>? imageBytesList,
  4. int? imageWidthForBytesList,
  5. int? imageHeightForBytesList,
  6. List<double> mean,
  7. List<double> std,
)

predicts image but returns the raw net output

Implementation

Future<List<double>> getImagePredictionList(int index, Uint8List? imageData, List<Uint8List>? imageBytesList, int? imageWidthForBytesList, int? imageHeightForBytesList, List<double> mean, List<double> std) async {
  final String pigeonVar_channelName = 'dev.flutter.pigeon.pytorch_lite.ModelApi.getImagePredictionList$pigeonVar_messageChannelSuffix';
  final BasicMessageChannel<Object?> pigeonVar_channel = BasicMessageChannel<Object?>(
    pigeonVar_channelName,
    pigeonChannelCodec,
    binaryMessenger: pigeonVar_binaryMessenger,
  );
  final List<Object?>? pigeonVar_replyList =
      await pigeonVar_channel.send(<Object?>[index, imageData, imageBytesList, imageWidthForBytesList, imageHeightForBytesList, mean, std]) as List<Object?>?;
  if (pigeonVar_replyList == null) {
    throw _createConnectionError(pigeonVar_channelName);
  } else if (pigeonVar_replyList.length > 1) {
    throw PlatformException(
      code: pigeonVar_replyList[0]! as String,
      message: pigeonVar_replyList[1] as String?,
      details: pigeonVar_replyList[2],
    );
  } else if (pigeonVar_replyList[0] == null) {
    throw PlatformException(
      code: 'null-error',
      message: 'Host platform returned null value for non-null return value.',
    );
  } else {
    return (pigeonVar_replyList[0] as List<Object?>?)!.cast<double>();
  }
}