/**
 * @license
 * Copyright 2021 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import '@tensorflow/tfjs-backend-cpu';
import '@tensorflow/tfjs-backend-webgl';

import * as mobilenet from '@tensorflow-models/mobilenet';

const img = document.getElementById('img');
const version = 2;
const alpha = 0.5;

async function run() {
  // Load the model.
  const model = await mobilenet.load({version, alpha});

  // Classify the image.
  const predictions = await model.classify(img);
  console.log('Predictions');
  console.log(predictions);

  // Get the logits.
  const logits = model.infer(img);
  console.log('Logits');
  logits.print(true);

  // Get the embedding.
  const embedding = model.infer(img, true);
  console.log('Embedding');
  embedding.print(true);
}

run();