Tfjs: Error: No backend found in registry - bodyPix

[giantqtipz]

Hello,

I'm trying to setup BodyPix via the tutorial on the TensorFlow website, and I'm getting the following error

Uncaught (in promise) Error: No backend found in registry.
    at Engine.getSortedBackends (engine.js:248)
    at Engine.initializeBackendsAndReturnBest (engine.js:257)
    at Engine.get backend [as backend] (engine.js:94)
    at Engine.makeTensor (engine.js:556)
    at makeTensor (tensor_ops_util.js:57)
    at tensor (tensor.js:48)
    at Module.decodeWeights (io_utils.js:212)
    at GraphModel.loadSync (graph_model.js:118)
    at GraphModel.load (graph_model.js:102)
    at async loadGraphModel (graph_model.js:348)

I tried installing several packages that I thought might help, but I'm really not sure what to do now.. appreciate any input I could get. Below are my package.json and index.js files.

package.json

```
"dependencies": {
"@babel/core": "^7.11.1",
"@babel/preset-env": "^7.11.0",
"@tensorflow-models/body-pix": "^2.0.5",
"@tensorflow/tfjs": "^2.3.0",
"@tensorflow/tfjs-converter": "^2.3.0",
"@tensorflow/tfjs-core": "^2.3.0",
"@tensorflow/tfjs-node-gpu": "^2.3.0"
},
"devDependencies": {
"babel-loader": "^8.1.0",
"webpack-dev-server": "^3.11.0",
"webpack": "^4.44.1",
"webpack-cli": "^3.3.12"
}

index.js

import * as bodyPix from '@tensorflow-models/body-pix';

const img = document.getElementById('image');

async function loadAndPredict() {
const net = await bodyPix.load(/* optional arguments, see below */);

/**

• One of (see documentation below):
• 
  
  • net.segmentPerson
  
  
• 
  
  • net.segmentPersonParts
  
  
• 
  
  • net.segmentMultiPerson
  
  
• 
  
  • net.segmentMultiPersonParts
  
  
• See documentation below for details on each method.
  */
  const segmentation = await net.segmentPerson(img);
  console.log(segmentation);
  }
  loadAndPredict();
  ```

[rthadur]

We recently release v2.0.0 (see the message at the top of the readme https://github.com/tensorflow/tfjs), the release notes have instructions on how to upgrade, or you can pin your version

[pyu10055]

Are you running in the browser or in node.js env?

If you are in the browser, try to add following line to your index.js file
import * as tfjs from '@tensorflow/tfjs';

also in your package.json, if you have include the union package '@tensorflow/tfjs',
you don't need to include other individual packages (i.e. core, converter, tfjs-node).

[giantqtipz]

Hi thanks for the responses.

I did adding the line you suggested to my index.js file, but it's still giving me the same error.

I ended up just using the CDN. I'm trying to experiment using bodyPix with matter.js for a program project. I can try to revisit this after I'm done.

[tensorflow-butler[bot]]

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