Question: Can I use verify() to group faces across two images? about deepface

[serengil]

verify compares the most similar ones in that image pair even if same two person are available.

[utility-aagrawal]

@serengil , Thanks for your response! I understand that from the readme. I think what I am asking is if it is possible to do many-to-many comparison and return all the matches.

In the code, I see that we are comparing all the faces between two images but only returning the most similar match based on the best distance:

deepface/deepface/modules/verification.py

Line 154 in 3690f32

threshold = find_threshold(model_name, distance_metric)

I would be willing to open a PR if you think this feature would be useful. One thing I would need to understand is how you came up with hardcoded threshold for different model_name, distance_metric combinations. Thanks!

[serengil]

I am very satisfied with the current version of verify function. IMO, that feature would not be helpful. Still, thank you for your interest.

Secondly, you can use the distance in the response instead of verified key if you want to use your own threshold.

[utility-aagrawal]

@serengil Thanks!

[utility-aagrawal]

@serengil , I would like to get your opinion on my use case. I am trying to build a face detection and tracking platform on video data. The problem is that there could be multiple individuals in a frame and I want to be able to track them all across frames. Is that something I can implement using your library? If not, do you have any alternative recommendations?

[serengil]

Please checkout stream function, it does similar task

[utility-aagrawal]

Thanks a lot @serengil ! I'll check it out.