screensaver VS face-api.js

"I've been using this chrome extension (https://github.com/opus1269/screensaver) for several years. I'm a photographer and I've been using this screen saver to display photos from my Google Photos albums. It also supports other sources, like Flickr, Unsplash, and Reddit, which continue to work. Unfortunately, the developer passed away and it is no longer supported and has been removed from the chrome store. Instead of displaying the Google Photo albums, it generates an error. When this problem occurred years ago (not displaying Google Photos albums), I think the developer quickly fixed it by updating for a change to Google's API. Are there any javascript developers here with the requisite experience that might be able to update this app?"

Then I used face-api.js to find the coordinates of each eye.

I already use recognize in my home NAS. It works fine but it's a NextCloud app (it uses tensorflow through face-api.js). I want something portable and easy to use similar to Google Picasa.

https://github.com/justadudewhohacks/face-api.js/ This is what used in web, can't find similar for react native.

For those looking to not only detect, but also vectorize faces (for later comparison against other faces) -- face recognition, try out: face-api.js

https://github.com/justadudewhohacks/face-api.js/

I saw something similar which used P5.js alongside the face-api.js package.

Meanwhile, Lochlann started to work on facial recognition with face-api.js, which was a challenge. Still, the moment he overcame the hurdle and got it working, the team knew it provided many cool opportunities for this project.

For the record - the author considered these two libraries for face detection: https://github.com/vladmandic/human & https://github.com/justadudewhohacks/face-api.js, he chose "vladmandic/human".

I have used https://github.com/justadudewhohacks/face-api.js/ for facial recognition and it works quite well for a self hosted free option.

While I was writing some initial code I found that Vincent Mühler had already created a high-level API called face-api.js built upon TensorFlow.js which wraps all the low-level operations and provides a convenient API for common tasks like face recognition and emotion detection. He also provides lots of example code on his GitHub repository so I was able to build my first emotion recognizer within a matter of minutes.

That's where the problem with your line of thought occurs. I have no relation to that algorithm or its maker(s). It's just a publicly available AI model that a lot of people use.