tfjs | A WebGL accelerated JavaScript library for training and deploying ML models | Graphics library

 by   tensorflow TypeScript Version: tfjs-v4.7.0 License: Apache-2.0

kandi X-RAY | tfjs Summary

kandi X-RAY | tfjs Summary

tfjs is a TypeScript library typically used in User Interface, Graphics, Tensorflow, WebGL applications. tfjs has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

This repository contains the logic and scripts that combine several packages. If you care about bundle size, you can import those packages individually. If you are looking for Node.js support, check out the TensorFlow.js Node directory.

            kandi-support Support

              tfjs has a medium active ecosystem.
              It has 17473 star(s) with 1867 fork(s). There are 335 watchers for this library.
              There were 6 major release(s) in the last 12 months.
              There are 423 open issues and 3438 have been closed. On average issues are closed in 749 days. There are 135 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tfjs is tfjs-v4.7.0

            kandi-Quality Quality

              tfjs has 0 bugs and 0 code smells.

            kandi-Security Security

              tfjs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tfjs code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tfjs is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tfjs releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tfjs
            Get all kandi verified functions for this library.

            tfjs Key Features

            No Key Features are available at this moment for tfjs.

            tfjs Examples and Code Snippets

            JavaScriptdot img1Lines of Code : 9dot img1no licencesLicense : No License
            copy iconCopy
            yarn add tensorflow-lambda
            const loadTf = require('tensorflow-lambda')
            const tf = await loadTf()
            // you get the same `tf` object that would get if you were doing:
            // const tf = require('@tensorflow/tfjs')
            tf.tensor([1, 2, 3, 4]).print()
            Fail to rebuild npm rebuild @tensorflow/tfjs-node build-addon-from-source
            JavaScriptdot img2Lines of Code : 4dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            xcode-select --install
            npm i node-pre-gyp -g
            npm rebuild @tensorflow/tfjs-node --build-from-source
            Tensorflow.js Node No Backend Found
            JavaScriptdot img3Lines of Code : 3dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            require('@tensorflow/tfjs-core'); /* or @tensorflow/tfjs-node */
            copy iconCopy
            npm uninstall @tensorflow/tfjs
            npm install @tensorflow/tfjs@1.3.1
            tensorflow.js bodypix model not working and not giving any error
            JavaScriptdot img5Lines of Code : 8dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            //main.js file, works well with webpack
            import * as tf from '@tensorflow/tfjs-core'
            import * as bodypix from '@tensorflow-models/body-pix'
            //now you can load bodypix or any model
            Converting path image to new Tensor to a [1, 224, 224, 3] shape
            JavaScriptdot img6Lines of Code : 15dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            const tfnode = require('@tensorflow/tfjs-node')
            function processImage(path) {
                const imageSize = 224
                const imageBuffer =  fs.readFileSync(path); // can also use the async readFile instead
                // get tensor out of the buffer
            TypeError: trackerFn(...).registerTensor is not a function
            JavaScriptdot img7Lines of Code : 6dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            npm i @tensorflow/tfjs @tensorflow/tfjs-node
            "@tensorflow-models/mobilenet": "^2.0.4",
            "@tensorflow/tfjs": "^1.7.4",
            "@tensorflow/tfjs-node": "^1.7.4",
            copy iconCopy
            npm install @tensorflow/tfjs @tensorflow-models/toxicity
            const toxicity = require('@tensorflow-models/toxicity');
            const threshold = 0.9;
            toxicity.load(threshold).then((model) => {
                const sentences = ['you s
            How to use tensorflow js on a nodejs server?
            JavaScriptdot img9Lines of Code : 104dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            const express = require('express');
            app = express();
            app.get('/',function(req,res) {
                res.sendFile('/demo/index.html', { root: __dirname });
            const port = 3000
            Where to download a specific version of tensorflow.js without a CDN
            JavaScriptdot img10Lines of Code : 4dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            npm pack @tensorflow/tfjs
            tar -xf tensorflow-tfjs-1.7.0.tgz

            Community Discussions


            facing problems in installing tensorflow
            Asked 2022-Apr-16 at 07:55

            I am facing problem in instaling tensorflow, please help me. Here is the error that I get:



            Answered 2022-Apr-16 at 07:55


            Exception in NodeWeb Kit for Canvas
            Asked 2022-Feb-16 at 09:33

            I am trying to convert my nodejs application into an .exe file. I am stuck with the canvas module(npm install @tensorflow/tfjs canvas). For some reason,nw.js is not able to load this module.

            This is the line for which I am getting the error :



            Answered 2022-Feb-08 at 19:14

            It's my understanding that anything using nw-gyp won't work with newer version of node because of the difference in supported Python versions. Somebody needs to get nw-gyp ported to work with Python 3.

            One related thread: edge-js build failing with nw-gyp



            Passing user input from html to javascript as array (to get tensor1d)
            Asked 2022-Jan-26 at 09:59

            So I've been trying to get user input to calculate outer product of two vectors using tensorflow.js but I couldn't figure out how to get an array from html to pass it into javascript. for example inside the calculator function const a has to be something like this tf.tensor1d([1, 2, 3])



            Answered 2022-Jan-26 at 09:59

            A utility function getArray can help.



            Is there a way to reduce expected conv2d_Conv2D1_input from 4 dimensions to 3?
            Asked 2022-Jan-10 at 10:13


            • a ValueError is saying that conv2d_Conv2D1_input is expecting to have 4 dimension(s), but got array with shape [475,475,3]


            • The inputShape is set to [475,475,3]
            • when logged, tensors have the shape [475,475,3]

            Error: ValueError: Error when checking : expected conv2d_Conv2D1_input to have 4 dimension(s), but got array with shape [475,475,3]




            Answered 2022-Jan-10 at 10:13

            The batch dimension is mission. It can be added by using expandDims()



            How to import and use Tensorflow's DANFO.js library inside an Angular web app?
            Asked 2021-Nov-30 at 15:58

            I am trying to use Tensorflow's DANFO.js library inside an Angular web app (with Ionic component's but that is irelevant).

            • I simply ran the command: npm install danfojs --save and npm install @tensorflow/tfjs-node --save
            • I tried all kinds of imports inside an Angular Service like: import 'danfojs';, import { DataFrame } from 'danfojs'; or even according to only related question to this topic I could find:import { DataFrame } from 'danfojs/dist/core/frame';
            • All of the above examples don't work
            • I even tried importing the DANFO.js in app.module without any change

            And I always get this error message (rest of the error is in edit):



            Answered 2021-Nov-30 at 15:58
            Tested on MacOS and Windows 10 Try the following steps to install and use danfojs combined with angular:
            1. Create new angular app with ng new danfojs-app
            2. cd danfojs-app
            3. npm install danfojs
            4. npm install jquery <-- Optional. The demo runs without it too.
            5. Add "scripts": ["./node_modules/jquery/dist/jquery.min.js"] to angular.json <-- Optional.




            Can a graph model loaded with tensorflow.js use data on GPU without transferring it to the CPU first?
            Asked 2021-Oct-26 at 00:25

            I am currently using tfjs 3.8 to load a segmentation model (loaded as a tf.GraphModel) on the client side. To create the input Tensor, I call browser.fromPixels(imageData), which creates the Tensor on CPU from the ImageData object that is also on CPU. Since I'm using tfjs' webgl backend, the data is sent to the GPU when calling the model.predict(tensor) function. All of this works well, excepted that my ImageData object is created from an image on a canvas with a WebGLRenderingContext, meaning it comes from the GPU. This GPU->CPU->GPU data transfer is slowing down my process, which I am trying to optimize.

            I briefly searched tfjs and could not find a way to create a Tensor on GPU to prevent the GPU->CPU data transfer. Is there a way I could keep my data on the GPU?



            Answered 2021-Oct-25 at 21:21

            The solution is simply to provide the canvas with the webgl context to the browser.fromPixels(canvas) call. This will create the Tensor directly on the GPU.



            TENSORFLOW.JS 3D Pose Estimation is not working
            Asked 2021-Oct-02 at 07:42

            Ive done a lot of Pose Estimation in Python using OpenCV and Mediapipe a year ago. I recently read an the Tensorflow Blog( about the possibility of 3d Pose estimation. This got me triggered, so i learned a bit of JavaScript to start my journey. After 3 days, i realised that my code doest work, Javascript gives out no errors, though nothing works. I followed the steps closely with a mate who has used JavaScript for a month now, Though he couldnt help me, cause he never worked with AI. I never worked with it, so i got no idea how await works in JS. MAy be a problem lol



            Answered 2021-Oct-02 at 07:42

            I would recommend console.log for testing purposes. This will print what you entered to the Inspector (Crtl+Shift+I). Alternatively you could document.innerText to '''print''' something out.

            Response to edit

            Firstly, your asynchronous function estimatePosesOfVideo returns a Promise as do all async functions. When printing the result to the console you are instead printing the Promise object. I would advise to use the .then of the promise object instead.

            Regarding the other issues, it is difficult to give any meaningful reply as I lack information as to in which line your error occurs. Please add that information as a comment within the code fence or by another way.



            Use Image URL to train Tensorflowjs program
            Asked 2021-Sep-08 at 11:27

            I'm trying to use images off the internet to try and train my network. I'm using an Image() object to create the images and pass them to tensorflow. According to my knowledge, Image() returns a HTMLImageElement, however, I'm still getting the following error:



            Answered 2021-Sep-08 at 11:27

            Seems like an oversight by TFJS team so Image type is not recognized. do this instead:



            Tensorboard for Tensorflow.JS under Windows 10
            Asked 2021-Aug-13 at 19:56

            I spent long time trying to figure out how to install and run Tensorboard on a Windows 10 machine, for projects that are using Tensorflow.JS

            Has anybody ever made this work? If so, please share the steps.

            I have Tensorflow.JS working fine with my GPU under Windows 10, but I cannot find any documentation for using Tensorboard under the combination of Windows + Tensorflow.JS

            • Windows 10 64-bit
            • Node.JS v14.17.3
            • Python v3.8.9
            • Tensorflow v2.5.0
            • Tensorflow.JS v3.8.0

            I'm using @tensorflow/tfjs-node-gpu, with RTX3080Ti, which works fine.



            Answered 2021-Aug-09 at 07:59

            The documentation here shows how to integrate tfjs in node with the tensorboad. But it requires tensorboard to be aldready installed.

            When using it tensorflow with python, tensorboard comes as a dependency of the tensorflow package. But using it in js requires to install the tensorboard package as a standalone package.



            My converted tensorflow Transfer Learning model always returns same results in Tensorflow JS
            Asked 2021-Jul-30 at 19:25

            I have created a model which applied Mobilenet V2 for the convolutional base layers in Google colab. Then I converted it by using this command:



            Answered 2021-Jul-30 at 19:25

            After I debug some possible causes, I realized that the problem is in this block code:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install tfjs

            There are two main ways to get TensorFlow.js in your JavaScript project: via script tags or by installing it from NPM and using a build tool like Parcel, WebPack, or Rollup.


            Please refer below :.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone tensorflow/tfjs

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Reuse Pre-built Kits with tfjs

            Consider Popular Graphics Libraries


            by mrdoob


            by pixijs


            by pixijs


            by tensorflow


            by google

            Try Top Libraries by tensorflow


            by tensorflowC++


            by tensorflowJupyter Notebook


            by tensorflowPython


            by tensorflowTypeScript


            by tensorflowTypeScript