Face Detection not defined about tfjs

[gaikwadrahul8]

HI, @mirzamukkarambaig

I apologize for the delayed response and thank you for bringing this issue to our attention, if possible could you please help us with your Github repo along with converted TensorFlow.js models and complete steps to replicate the same behavior from our end to investigate this issue further from our end ?

Thank you from your cooperation and patience.

[mirzamukkarambaig]

No worries.
Kindly find the code one this repo

the code you will be looking inside the src/utils/detect_faces and src/components/access_webcam files.

[fgsalomon]

Hi @gaikwadrahul8 ,

Any news on this issue?

I'm seeing the same problem on a Vue 3 app and I'm interested in a solution or workaround.

Thank you.

[gaikwadrahul8]

Hi, @mirzamukkarambaig

Thank you for your patience with the delay in my response. I'm able to replicate the reported behavior using the npm run preview command (output below). Running npm run build produces a different output (also below). We'll need to investigate this issue further and will provide an update soon. thank you for bringing this issue to our attention.

1. Output log of npm run preview command :

2. Output of npm run build command :

gaikwadrahul-macbookpro2:Face-Detection-TF-JS gaikwadrahul$ npm run build

> [email protected] build
> vite build

vite v5.2.12 building for production...
✓ 816 modules transformed.
dist/index.html                     0.46 kB │ gzip:   0.29 kB
dist/assets/index-CGXWcEaS.css      6.14 kB │ gzip:   1.84 kB
dist/assets/index-fXzlpHlG.js   1,441.00 kB │ gzip: 271.41 kB

(!) Some chunks are larger than 500 kB after minification. Consider:
- Using dynamic import() to code-split the application
- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks
- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.
✓ built in 2.75s
gaikwadrahul-macbookpro2:Face-Detection-TF-JS gaikwadrahul$ 

Thank you for your cooperation and patience.