CODEWITHSUNDEEP
tensorflowmachine-learningtensorflow.jstfjs-node
Divya Kaushik
Divya Kaushik

Reputation: 910

Handpose tfjs Error - No backend found in registry

When trying to run a demo project for Handpose tfjs, I get the below error.

My package.json file has below dependencies:

{
"name": "tensorflowJs",
"version": "1.0.0",
"description": "",
"main": "index.js",
"scripts": {
  "watch": "cross-env NODE_ENV=development parcel index.html --no-hmr ",
  "build": "cross-env NODE_ENV=production parcel build index.html --public-url ./"
 },
"browser": {
"crypto": false
 },
"keywords": [],
"author": "",
"license": "ISC",
"dependencies": {
  "@tensorflow-models/handpose": "0.0.4",
  "@tensorflow/tfjs-backend-wasm": "^2.0.0",
  "@tensorflow/tfjs-converter": "^1.7.4",
  "@tensorflow/tfjs-core": "^2.0.0",
  "@tensorflow/tfjs-node": "^2.0.0",
  "bootstrap": "^4.5.0",
  "cross-env": "^7.0.2"
 },
"devDependencies": {
  "@babel/cli": "^7.10.1",
  "@babel/core": "^7.10.2",
  "@babel/plugin-transform-runtime": "^7.10.1",
  "@babel/polyfill": "^7.10.1",
  "@babel/preset-env": "^7.10.2",
  "babel-preset-env": "^1.7.0",
  "parcel-bundler": "^1.12.4"
 }
}

The issue with the registry was supposed to be resolved after version 0.10.3, but even for version-2, I'm still facing the issue. Does anyone know why this issue occurs?

Upvotes: 9

Views: 15842

Answers (6)

crispengari
crispengari

Reputation: 9321

I was having the same error which "No backend found in registry" but in my case i was working with @tensorflow-models/blazeface model and a react app.I installed @tensorflow/tfjs-converter and @tensorflow/tfjs-core as the Readme link to the Github Readme was suggesting but i was still getting the error. Then i solved my problem by going to the index.html in the public folder of a react app and i added the following scripts at the bottom of the file.

<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-converter"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-webgl"></script>

Good luck

Upvotes: 5

Eugenio Maria
Eugenio Maria

Reputation: 31

For me, the solution was to wait for tf to be ready:

tf.ready().then(()=> {
  //Code here
})

Upvotes: 3

Jorge Guerra Pires
Jorge Guerra Pires

Reputation: 632

I have tried all the solutions here, and solutions in the net: for days. Then it occurred to me: most of those problems on those cases are version issues.

Then, I just copied a version working an app found in the net, and it works fine. Final learning: it seems an issue with versioning.

"@tensorflow-models/mobilenet": "1.0.1",//this one you should fix, the issue is here
"@tensorflow/tfjs": "2.0.0",//tested, you can install the latest version

Not sure we have a better solution, but it works just fine! enter image description here

Upvotes: 1

Kostas Minaidis
Kostas Minaidis

Reputation: 5412

For me it worked after I added these two packages to the project:

import '@tensorflow/tfjs-backend-cpu';
import '@tensorflow/tfjs-backend-webgl';

Upvotes: 2

Ben Butterworth
Ben Butterworth

Reputation: 28502

I had mistakenly come up with my own import line:

import backend from '@tensorflow/tfjs-backend-webgl'

Correct version:

import '@tensorflow/tfjs-backend-webgl';

Upvotes: 12

lost faith in stackoverflow
lost faith in stackoverflow

Reputation: 300

<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-converter"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-webgl"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/handpose"></script>

Tensorflow released 2.0.0, and now you must choose either tfjs-backend-webgl, tfjs-backend-cpu, or tfjs-backend-wasm to run your model. You're using handpose and for that you should use webgl.

Upvotes: 7

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