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av-savchenko / face-emotion-recognition

Efficient face emotion recognition in photos and videos
Apache License 2.0
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Request for a demo code #43

Closed gd1925 closed 1 year ago

gd1925 commented 1 year ago

Hi,

Is there a demonstration code available for running videos or webcam feeds? Thank you.

av-savchenko commented 1 year ago

Hello! Thanks for your interest in my code. Several demos are available in the accompanied repositories for my pip packages hsemotion and hsemotion-onnx. For example, the demo for video processing is available here recognize_emotions_video.py. The processing of photos with the PyTorch models is described at test_hsemotion_package.ipynb

gd1925 commented 1 year ago

Hi, Thank you very much for your reply. The model is super fast indeed. Runs at >30fps on cpu. Thank you for sharing the code base with us!!

av-savchenko commented 1 year ago

Thanks for your positive feedback! Closing the issue

timlac commented 1 month ago

I notice that the linked demos limits the number of faces which can be recognized to one. Did you ever do any implementation which can track multiple faces and keep track of the identity of the different faces over time? E.g. assign a face id for each face which is reliable such that the face_id is not mixed up over time.

av-savchenko commented 1 month ago

I have an example here https://github.com/av-savchenko/face-emotion-recognition/blob/main/src/video_summarizer.ipynb

However, for now, I believe it is better to use a special tracker, e.g. deepsort with face embeddings from insightface. I do not have an example for such an implementation but it is possible to google it

ср, 2 окт. 2024 г., 20:30 timlac @.***>:

I notice that the linked demos limits the number of faces which can be recognized to one. Did you ever do any implementation which can track multiple faces and keep track of the identity of the different faces over time? E.g. assign a face id for each face which is reliable such that the face_id is not mixed up over time.

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