js-core | JavaScript client library for generating image URLs | Plugin library

I am trying to implement the hand-pose detection of tensorflow.js in an Angular-Project. I created a new angular project.

I created a React app and it works fine on my local machine, but after deployment in the Github I am getting the following error:

Ive done a lot of Pose Estimation in Python using OpenCV and Mediapipe a year ago. I recently read an the Tensorflow Blog(https://blog.tensorflow.org/2021/08/3d-pose-detection-with-mediapipe-blazepose-ghum-tfjs.html) 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

I have setup my react native app done all the installations and configurations of unimodules and packages are working as expected. No problem with dependency etc.

Now I want to implement a tensorflow model that I've trained from teachablemachine by google and I couldn't understand how to use it with camera because I'd like to process the frames from real time just like tensorflow react native api docs say. This is a code I found online and I will change it with my model but the problem is it only detects the model when user takes picture. I want my camera to understand model in real time just like face detection, barcode scanner.

Main.js

I am creating a body segmentation app using tensorflow bodypix model. It works fine in the browser. I am using webpack to use its modules(see below)

i use @tensorflow/tfjs-node package for face-api.js package to speed up things (as they said ) that is my code :

I am trying to import essentia.js. When running, any attempt to import the module results in

"WebAssembly.Compile is disallowed on the main thread, if the buffer size is larger than 4KB. Use WebAssembly.compile, or compile on a worker thread."

I tried making a worker, but realized you cannot import node modules.

is it possible to handle npm imports if the wasm file is greater than 4kb? How might I do this?

For reference, I am trying to use functions from essentia.js on an Electron application. I successfully ran a test function with node test.js via cmd; not realizing it would fail on Electron.

Essentia.js has a tutorial, where they say:

Note: You shouldn't import the essentia-wasm.module.js on the main thread. The ideal way is to use it along with the AudioWorklet design pattern or with WebWorkers. Also, it is recommended to use local files instead of CDN in production. https://mtg.github.io/essentia.js/docs/api/tutorial-1.%20Getting%20Started.html

However, I do not know how to do this. I've been trying to understand what I have to do, but its quite a lot to take in.

My goal is to call Essentia functions for bpm and key analysis - but I'm very new to multithreading.

For instance, I need essentia.js-core - but this file requires the wasm file. How do I prepare the wasm file so that I may use the other files? Is this possible?

In retrospect, electron was probably not the greatest design choice - but we opted for familiarity. I know that nodeJS isn't the problem - it's the fact that this application essentially runs on a chrome browser.

I'm trying to implement the experimental Web cryptography api (subtlecrypto) on my Herokuapp Nodejs server so as to encrypt the data from a gitpages -> herokuapp fetch request, hiding the sensible information within from the browser console network tab to then decrypt client-side.

I'm following https://www.nearform.com/blog/implementing-the-web-cryptography-api-for-node-js-core/ as a reference.

Unfortunately, any method that I try to call from subtlecrypto comes back as undefined, spouting errors such as

I'm trying to know if there is some face on an image and so I'm using tensorflow JS with blazeface model. But after getting the code an error appear: