getRawImagePredictionListObjectDetection method

Future<List<ResultObjectDetection>> getRawImagePredictionListObjectDetection(int index, Uint8List imageData, double minimumScore, double IOUThreshold, int boxesLimit,)

predicts raw image but returns the raw net output

Implementation

Future<List<ResultObjectDetection>> getRawImagePredictionListObjectDetection(int index, Uint8List imageData, double minimumScore, double IOUThreshold, int boxesLimit) async {
  final String pigeonVar_channelName = 'dev.flutter.pigeon.pytorch_lite.ModelApi.getRawImagePredictionListObjectDetection$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, minimumScore, IOUThreshold, boxesLimit]) 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<ResultObjectDetection>();
  }
}