Invalid argument(s): Size of bounding box dimBouBoxension 1 is not 4. Got 25 in shape [1, 25]

[cahyowhy]

got an error while running method BoundingBoxUtils.convert

E/flutter ( 8045): [ERROR:flutter/runtime/dart_isolate.cc(1097)] Unhandled exception:
E/flutter ( 8045): Invalid argument(s): Size of bounding box dimBouBoxension 1 is not 4. Got 25 in shape [1, 25]
E/flutter ( 8045): #0      SupportPreconditions.checkArgument (package:tflite_flutter_helper_plus/src/common/support_preconditions.dart:16:7)
E/flutter ( 8045): #1      BoundingBoxUtils.convert (package:tflite_flutter_helper_plus/src/image/bounding_box_utils.dart:74:26)
E/flutter ( 8045): #2      TfliteClassifier.predict (package:etlesigap/utils/object_detection/tflite_clasifier.dart:219:45)
E/flutter ( 8045): #3      IsolateimageClasifier.entryPoint (package:etlesigap/utils/object_detection/isolate_image_clasifier.dart:62:32)
E/flutter ( 8045): <asynchronous suspension>

this is my output shapes

[
    [1,25],
    [1,25,4],
    [1],
    [1,25]
]

and this is how i used

TensorBuffer outputLocations = TensorBufferFloat(_outputShapes[0]);
    TensorBuffer outputClasses = TensorBufferFloat(_outputShapes[1]);
    TensorBuffer outputScores = TensorBufferFloat(_outputShapes[2]);
    TensorBuffer numLocations = TensorBufferFloat(_outputShapes[3]);

    // Outputs map
    Map<int, Object> outputs = {
      0: outputLocations.buffer,
      1: outputClasses.buffer,
      2: outputScores.buffer,
      3: numLocations.buffer,
    };

    var inferenceTimeStart = DateTime.now().millisecondsSinceEpoch;

    // run inference
    _interpreter.runForMultipleInputs([inputImage.buffer], outputs);
    // _interpreter.runForMultipleInputs([inputImage.buffer.asUint8List()], outputs);

    var inferenceTimeElapsed =
        DateTime.now().millisecondsSinceEpoch - inferenceTimeStart;

    // Maximum number of results to show
    int resultsCount = min(numResults, numLocations.getIntValue(0));

    // Using labelOffset = 1 as ??? at index 0
    int labelOffset = 1;

    // Using bounding box utils for easy conversion of tensorbuffer to List<Rect>
    List<Rect> locations = BoundingBoxUtils.convert(
      // tensor: outputClasses,
      tensor: outputLocations,
      // valueIndex: [1, 0, 3, 2],
      valueIndex: [1, 3, 0, 2],
      boundingBoxAxis: 1,
      // boundingBoxAxis: 2,
      boundingBoxType: BoundingBoxType.boundaries,
      coordinateType: CoordinateType.ratio,
      height: inputSize,
      width: inputSize,
    );

[cahyowhy]

my model props