face-api VS face-api.js

I have an input that takes multiple files, after I filter the ones that are .jpg, .png, .webp, etc., I want to check if there are human faces in those images. I found this repo: https://github.com/vladmandic/face-api but if I add a file I get this error:

Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc.

We will be using vladmandic-face-api as it is compatible with tfjs 2.0.

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.