Computer vision and ionic

Capacitor
1

i want to connect computer vision’s model but je recontre plusieurs erreurs:

`import { Component } from ‘@angular/core’;
import * as tflite from ‘@tensorflow/tfjs-tflite’;
import { Camera, CameraResultType } from ‘@capacitor/camera’;
import * as tf from ‘@tensorflow/tfjs’;
@Component({
selector: ‘app-home’,
templateUrl: ‘home.page.html’,
styleUrls: [‘home.page.scss’],
})
export class HomePage {
model: any;

constructor() {
this.loadModel();
}

async loadModel() {
this.model = await tflite.loadTFLiteModel(‘assets/raisin.tflite’);
}`

async predict() {
const image = await Camera.getPhoto({
quality: 90,
allowEditing: false,
resultType: CameraResultType.DataUrl
});

if (image && image.dataUrl) {
  const img = new Image();
  img.src = image.dataUrl;

  img.onload = async () => {
    const canvas = document.createElement('canvas');
    canvas.width = img.width;
    canvas.height = img.height;
    const ctx = canvas.getContext('2d');

    if (ctx) {
      ctx.drawImage(img, 0, 0);

      const imageData = ctx.getImageData(0, 0, img.width, img.height);
      const inputTensor = tf.browser.fromPixels(imageData).expandDims(0).toFloat().div(tf.scalar(255.0));
      const predictions = this.model.predict(inputTensor);

      console.log(predictions);
    } else {
      console.error("Le contexte de rendu est null.");
    }
  };
} else {
  console.error("Image dataUrl is undefined or null.");
}

}
}
in file home.ts`

2

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