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Comment by cyrux004 | Hacker News Reader

I have a raspberry pi running a fairly simple application. What can I do something which might be useful using tf lite on my pi?

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First Robotics is a worldwide robotics competition that was started years ago by Dean Kamen. This year’s challenge is called Rover Ruckus and simulates a Rover landing on an alien planet. There is a 30 second autonomous mode wherein one of the challenges is to use a camera to discern where a gold mineral lies in a field of two silver and one gold minerals. My son’s team uses Tensor Flow to accurately discern which mineral is the gold.

For reference, this challenge is part of FIRST Tech Challenge (FTC), in which they build robots the size of 18” cubes. FIRST Robotics Competition (FRC), which builds much larger robots (120 lbs, often as tall as people) has its competition announced in two weeks. Many teams that are part of FRC use Raspberry Pis or other microcontrollers to do vision processing and it’s super cool to hear that FTC teams are doing it as well.

Both are very exciting and great opportunities for high schoolers to get involved in STEM (as well as being an amazing chance for adults to get involved in mentoring a team). I can’t recommend it enough.

My intern, Vasu Agarwal, built FTC's official tensorflow detector for this year's competition. I was pretty impressed how quickly we were able to turn a model trained on a GPU into something that ran at reasonable FPS on Androids. We used TF Lite, I loved working with it. Heck, I enjoyed using it more than TF proper.

is there a blog post on this ? we have been struggling to export models to tf-lite. Not sure if you are using TPU trained models (which is cheap) or GPU trained ones using your machines... but a quick pointer would be helpful.

Maybe http://firsttechchallenge.blogspot.com/2018/11/tensorflow-ma... and https://github.com/ftctechnh/ftc_app/wiki/Using-TensorFlow-L... ?

I enjoy how Googlers appear to regularly name drop interns they’ve hosted as if the rest of us should know who they are. Never seen that at any other institution.

I didn’t read it that way. I read it as being very proud of a junior colleague and wanting to give him praise publicly and by name.

I was just name-crediting my intern (who did the hard work) since we didn't publish a paper. Never meant to imply you should know him.

Image or facial recognition. You could make a home security system.

You just need to run a pretrained model for that right ?

you could use a pretrained object detection model with some lightweight logic built around it (e.g. send you a slack notification when a human object is detected in at least 5 consecutive frames between these hours) but you might also want to find-tune a pretrained model to work well given your camera's angle, lighting conditions, etc.

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