我正在尝试使用react native构建一个对象检测应用程序，该应用程序带有一个从Yolov5训练的自定义模型，并使用tensorflowjs（v3.19.0）进行转换。
我的图像是数据Url字符串格式（转换为base64图像格式），我得到以下错误：

Error: Argument 'x' passed to 'pad' must be a Tensor or TensorLike, but got 'Tensor'

有人能帮助检查错误来自哪里以及如何修复吗？（我认为它在“处理Tensor”部分，但不能找出到底是什么出了问题）
下面是我预测的完整代码：

import * as tf from '@tensorflow/tfjs';
import {bundleResourceIO, decodeJpeg} from '@tensorflow/tfjs-react-native';

const modelJSON = require('../assets/web_model/model.json');
const modelWeights = [
  require('../assets/web_model/group1-shard1of7.bin'),
  require('../assets/web_model/group1-shard2of7.bin'),
  require('../assets/web_model/group1-shard3of7.bin'),
  require('../assets/web_model/group1-shard4of7.bin'),
  require('../assets/web_model/group1-shard5of7.bin'),
  require('../assets/web_model/group1-shard6of7.bin'),
  require('../assets/web_model/group1-shard7of7.bin'),
];

const getPredictions = async (dataURL: string) => {
  // As tensorflow gets ready
  await tf.ready();

  // Load model
  const model = await tf.loadGraphModel(
    bundleResourceIO(modelJSON, modelWeights),
  );

  // Make input data
  const imgB64 = dataURL.split(';base64,')[1];
  const imgBuffer = tf.util.encodeString(imgB64, 'base64').buffer;
  const raw = new Uint8Array(imgBuffer);
  const imagesTensor = decodeJpeg(raw);

  // Process input data
  const modelShape: any = model.inputs[0].shape;
  const resolution: [number, number] = modelShape.slice(1, 3);
  let processedTensor = tf.image.resizeBilinear(imagesTensor, [
      inputHeight,
      inputWidth,
    ]) as tf.Tensor<tf.Rank.R3>;
    processedTensor = tf.cast(processedTensor, 'float32');
    processedTensor = tf.div(processedTensor, 255.0);
    processedTensor = tf.reshape(processedTensor, [inputHeight, inputWidth, 3]);
    processedTensor = tf.expandDims(processedTensor, 0);
    
    // Get prediction
    return (await model.executeAsync(processedTensor)) as tf.Tensor[];
};

export default getPredictions;