Recent content by mailseth

‘Best’ practices is going to be what works best for you. People tend to be pretty happy with the custom IPcam models, but they aren’t really available right now on the TPU. YOLOv8 is the best in theory, but is going to require more compute and so may not be the best for you. Similarly, there may...

Not YOLOv8? I trust your opinion, but am curious why?

I wonder how large of a photo/label pairing dataset you could scrape off of Craigslist or Edmunds? Would probably be more complete in the past ten years.

The easiest way to ‘fix’ the problem you’re seeing would just be to be running the multi-TPU code on your single TPU. Do you see any earlier problems that would show why that’s not working?

Yeah, I wouldn't expect to see much difference between 0.03 FPS and 1.0 FPS as far as analysis load goes. It's going to really only make a difference when everything is moving because it's windy or raining.

Thanks for the report. I haven’t seen that problem before. From the stack trace, it looks like it’s using the original single-TPU code which hasn’t been changed recently (as far as I know.) I’m on my phone now, I’ll take a closer look when I get a chance.

If I'm reading that correctly, that's ~700 frames analyzed (motion triggers) over 6 hours, for around 1 frame every 30 seconds? How many frames does a motion trigger cause to be analyzed?

Good to know. What sort of video stream load are you putting on it? (Average FPS?)

Sorry to hear that. I hope it’s better in the next version.

That would be an API change between BI and CPAI, I’d guess. BI would need to send the info to CPAI in order for it to appear in anything on the CPAI side, and I don’t think it does. I’m not familiar with the details of the API, but I haven’t seen anything like that in there.

The most important part of my calculus ended up being power consumption, which is pretty hard to measure. Running a GPU on a steady stream of video for a year is going to cost a bit. For me, for example, I calculated out that if the card ended up using an extra ~40 watts, I'd spend $100-$200 per...

I’m hoping that the guy finishes this board: https://github.com/magic-blue-smoke/Dual-Edge-TPU-Adapter/blob/main/PCIex4_2xDualTPU_s.jpeg And then we can drop a few duals into a single slot.

I do not have experience. It was something I looked into and it seemed interesting until I learned I needed bifurcation and didn’t have it. With that one in particular you may need 4-way bifurcation, which is even more rare, but as I understand it if you only have 2-way that just means that only...

There is also this one, but your motherboard has to be compatible with bifurcation. https://a.co/d/cEtN1G7

For the original models: https://coral.ai/models/object-detection/ There are really two models (MobileNet & EfficentDet) in your comment in different sizes and variations. Mainly think of the different sizes. Then, for models that don't fit well on one TPU, I've been playing with segmenting...