Switch to @vladmandic/human

[ghisch]

This PR updates the face detection classifier from @vladmandic/face-api to @vladmandic/human.
Fix #1171

Key Changes

1. Improved Performance

   • @vladmandic/human offers significantly better performance compared to face-api, with faster processing and more reliable face detection.
   • It detects more faces per image
   • Unexpectedly identifies pet faces (tested with my dog 🐶).

2. Configuration Adjustments

   • Updated maxDetected to 100 (default is 1) to support multiple faces in a single image.
   • Face vector: previously called descriptor (128 dimensions in face-api), now called embedding (1024 dimensions in human).

3. Face Clustering

   • Face clustering does not work properly right now. It's limited to handling duplicate images. I don't know why. I feel it's linked to the dimensions size difference.
   • Clustering parameters (MIN_CLUSTER_SEPARATION, MAX_CLUSTER_EDGE_LENGTH) might need optimization for the new 1024-dimensional embeddings. Suggestions and assistance on tuning these are welcome! 🙏

4. Compatibility Note

   • Breaking Change: Existing detections made with face-api are incompatible with human embeddings. This requires a reset of existing data to align with the new system.

Testing

• Tested on my LSIO Nextcloud instance in PURE_JS (WASM) mode only.
• Needs testing in GPU, CPU, and Node.js environments.

Request for Feedback

• I'm not a developer and relied on ChatGPT for much of the implementation. Feedback and suggestions for improvement are highly appreciated.

Recap (Help Needed 🙏)

• Optimize face clustering to accommodate the higher-dimensional embeddings.
• Verify functionality across GPU, CPU, and Node.js environments.

Let me know if there's anything I can improve or clarify further!

[Felitendo]

Thank you sooo much for this PR, I think this is strongly needed. The face-api Repo hasn't gotten a meaningful commit since January and is also Archived now. Hopefully @marcelklehr can look at this PR when he has time :)

[marcelklehr]

Hello @ghisch
Thank you for taking the time to compose this PR. Indeed using a new embedding model needs careful calibration of the hyperparameters and extensive testing. I can currently not provide either in my capacity as Nextcloud GmbH engineer, sadly. I can try to look into this in my free time, but can't be sure when I'll get to this.

[ghisch]

Hello @marcelklehr 👋 I totally understand no problem.

Also, FYI, human lib repo also provide some kind of clustering in JS, I feel like inspiration can be taken from here.

• https://github.com/vladmandic/human/tree/main/demo/facematch
• https://github.com/vladmandic/human/wiki/Embedding#face-recognition

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[QuentinLemCode]

Hello @marcelklehr , had you had the time to take a look on this PR ?
Face recognition needs an upgrade ;)

I can help to make the CI pass

[marcelklehr]

@QuentinLemCode My earlier comment still applies, sadly.

[marcelklehr]

@QuentinLemCode My earlier comment still applies, sadly. This needs testing in normal CPU mode and with GPU, Face clustering needs to be fixed. If you can help, by all means :)

[QuentinLemCode]

@QuentinLemCode My earlier comment still applies, sadly. This needs testing in normal CPU mode and with GPU, Face clustering needs to be fixed. If you can help, by all means :)

@marcelklehr Sure! Do you have any documentation or information for launching the local dev env and performing tests?

[marcelklehr]

Here are our tutorials for developers: https://nextcloud.com/developer/

[QuentinLemCode]

@marcelklehr In the CI, a job has failed because an archive of photos isn't available anymore on your site

Could you rehost it or send it here please ? I suggest to include it in a test assets folder

[marcelklehr]

Could you rehost it or send it here please ? I suggest to include it in a test assets folder

I've rehosted it, thanks for the heads up!