Question

可能的未处理的承诺拒绝（ID：11）： TypeError: undefined is not an object (evaluating 'a.substr') isMobile@http://localhost:8081/index.bundle?platform=ios&dev=true&minify=false:150239:1956

我正在尝试使用移动网络对图像进行分类并打印结果。我正在使用 async-await 并且我的承诺被拒绝。这与我试图从 youtube 上执行的代码相同，但在我的情况下不起作用。我尝试了很多方法但无法解决此错误。

这是我的源代码：

[enter image description here][1]import * as tf from '@tensorflow/tfjs';
import '@tensorflow/tfjs-react-native';
import * as mobilenet from '@tensorflow-models/mobilenet';
import { fetch, decodeJpeg} from '@tensorflow/tfjs-react-native';
// import { Asset, Constants, FileSystem, Permissions } from 'react-native-unimodules';


import React from 'react';
import { 
    SafeAreaView,
    View, 
    Text,
    TextInput,
    StyleSheet,
    TouchableOpacity,
    Image,
    Button,
    ScrollView,
    FlatList, 
    Touchable} from 'react-native';
import { icons, images, SIZES, COLORS, FONTS } from '../constants';

export default function Trip(){
    const [url, seturl]= React.useState('https://oceana.org/sites/default/files/tiger_shark_0.jpg')
    const [displayText, setDisplayText] = React.useState('loading')

    async function getPrediction(url){
        setDisplayText("Loading Tensor Flow")
        await tf.ready()
        setDisplayText("Loading Mobile Net")
        const model= await mobilenet.load()
        setDisplayText("Fetching image")
        const response =await fetch(url, {}, {isBinary: true})
        setDisplayText("Getting image buffer")
        const imageData = await response.arrayBuffer() 
        setDisplayText("Getting Image tensor")
        const imageTensor = imageToTensor(imageData)
        setDisplayText("Loading Result")
        const prediction = await model.classify(imageTensor)
        console.log(prediction)
        setDisplayText(JSON.stringify(prediction))

    }

    function imageToTensor(rawData){
        const {width, height, data}= jpeg.decode(rawData, true)
        const buffer = new Uint8Array(width*height*3)
        let offset = 0;
        for(let i=0; i<buffer.length; i+=3){
            buffer[i]=data[offset]
            buffer[i+1]=data[offset+1]
            buffer[i+2]=data[offset+2]
            buffer +=4

        }

        return tf.tensor3d(buffer, [height, width, 3])

    }

    return(
        <View style={styles.container1}>
            <Text>Works with only JPEG Images</Text>
            <TextInput style={{height:40, width:"90%", borderColor:'gray', borderWidth: 1}}
                onChangeText={text => seturl(text) }
                value={url}/>
            <Image style={styles.imageStyle} source={{uri:url}}></Image>
            <Button title="Classify" onPress={()=>getPrediction(url)}></Button>
        </View>
    )
}


[Mobile error pic][1]

Answer 1

This is a bug with tfjs-react-native。如果您将@tensorflow/tfjs 降级到 3.0.0，它应该可以工作。

我该如何解决这个可能的未处理的承诺拒绝错误？

1 个答案: