TypeError: undefined is not an object (evaluating 'RNTFLiteImageRecognition.createImageRecongizer')

[Hasanhsk]

import React, { Component } from 'react' import { StyleSheet, View, Text, Image, TouchableOpacity } from 'react-native'

import { TFLiteImageRecognition } from 'react-native-tensorflow-lite'

export default class App extends Component { constructor() { super() this.state = {}

try {
  // Initialize Tensorflow Lite Image Recognizer
  this.classifier = new TFLiteImageRecognition({
    // Your tflite model in assets folder.
    // Currently only non-quant files
    model: 'file://mobilenet_v1_1.0_224.tflite',
    labels: 'file://labels.txt'
  })
} catch (err) {
  alert(err)
}

}

async classifyImage(imagePath) { try { const results = await this.classifier.recognize({ // Your image path. image: imagePath, // the input shape of your model. If none given, it will be default to 224. inputShape: 224 })

  const resultObj = {
    name: 'Name: ' + results[0].name,
    confidence: 'Confidence: ' + results[0].confidence,
    inference: 'Inference: ' + results[0].inference + 'ms'
  }
  this.setState(resultObj)
} catch (err) {
  alert(err)
}

}

componentWillUnmount() { // Must close the classifier when destroying or unmounting component to release object. this.classifier.close() }

render() { return (

this.classifyImage('apple_224.jpg')} > this.classifyImage('coffee_224.jpg')} > this.classifyImage('taco_224.jpg')} > RESULTS: {this.state.name} {this.state.confidence} {this.state.inference}

)

} }

const styles = StyleSheet.create({ container: { flex: 1, justifyContent: 'center', alignItems: 'center', backgroundColor: '#F5FCFF' }, results: { textAlign: 'center', fontSize: 24 }, images: { flexDirection: 'row' }, imageContainer: { flex: 1, justifyContent: 'center', overflow: 'hidden' }, image: { resizeMode: 'contain' } })

[Chipzstar]

I am experiencing the exact same issue! An

Also @Hasanhsk i think you left out your componentWillMount method which should look like this:

componentWillMount() { this.classifyImage("assets/images/<IMAGE_NAME>") // path to image }

Here is a screenshot of the error!