Refactor the dependency about jeelizfacefilter HOT 10 CLOSED

Yes sure ! It's what I want to do !

from jeelizfacefilter.

Hi @dupasj

Do you mean for the NPM package used in the https://github.com/jeeliz/jeelizFaceFilter/tree/master/reactThreeFiberDemo
Or the static JavaScript demos?

from jeelizfacefilter.

Hi @dupasj

Do you mean for the NPM package used in the https://github.com/jeeliz/jeelizFaceFilter/tree/master/reactThreeFiberDemo Or the static JavaScript demos?

Hi !

from jeelizfacefilter.

I mean for the NPM package.

from jeelizfacefilter.

Sure I would be interested :)
But I would prefer to keep Three.js helper either outside the package, or to put it in a separate package.
Indeed, even if FaceFilter is mostly used with Three.js, this lib is framework agnostic.

from jeelizfacefilter.

Little outscoped question ^^'
Will you provide more AR really experience ? Like foot tracking, body tracking, surface tracking... ?!

from jeelizfacefilter.

• Jeeliz brand will be focused on glasses virtual try-on, especially through the Jeeliz VTO widget

• Jeeliz FaceFilter and Jeeliz Weboji will still be maintained and improved,

• Enhanced experiences are provided by WebAR.rocks brand ( https://github.com/webAR-rocks ), especially:

  • WebAR.rocks.face has a similar interface to Jeeliz FaceFilter, except it outputs the position of face landmarks and the pose is computed differently. It gives access to new use-cases: high precision virtual try-on for hats, headphones, helmets, glasses, lipstick and makeup virtual try-on, deformable masks
  • WebAR.rocks.hand is focused on hand detection and tracking, I am actively working on it. It can be used for hand based navigation, bracelet/wristwatch and ring VTO, hand object manipulation
  • WebAR.rocks.object and WebAR.rocks.image are for objects or images detection and tracking, but their use is not fully standalone (it requires often custom neural network training), except for some use-cases like keyboard based SLAM or cup detection for example.
  • surface tracking does not suit very well to neural network-based detection, and furthermore it will come through WebXR (as soon as Apple will decide to implement it correctly), so I have no plans for that
  • body tracking is also not in my focus,
  • I am working on foot tracking but the results are not good enough for commercial use yet.

from jeelizfacefilter.

Thus projects looks really cool !
Could I have the unminified source of the project ? I will try to merge all thus projects in one ;)

from jeelizfacefilter.

Hi,

The source code of the NPM package is here: https://github.com/jeeliz/jeelizFaceFilterNPMPackage
But I don't provide the unmodified source code of the core of these projects.

from jeelizfacefilter.

All right,
I can't merge thus projects in one if I can't view the unminfied code, I will do my best.
If you don't want to provide thus lines of code for reasons of fairness, we can sign confidentiality agreements if you want.

I send you an email with mores details.
Cheers

from jeelizfacefilter.