mailseth's latest activity
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Mmailseth reacted to silencery's post in the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024) with
Like.
Yeah, i know coral support was added just recently, and things are still really fluid, so I fully expect it to be all really... -
Mmailseth replied to the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024).‘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...
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Mmailseth reacted to silencery's post in the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024) with Like.
Just wanted to report back on this. Ordered the dual TPU PCIe adapter. Ran into far more hiccups than I should have along the way on...
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Mmailseth reacted to MikeLud1's post in the thread CodeProject.ai with License Plate Reader module - HowTo? with Like.
If the model work well I will train a YOLOv8 version. We currently do not have a YOLOv8 .NET module, I am using the YOLOv5 .NET module...
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Mmailseth replied to the thread CodeProject.ai with License Plate Reader module - HowTo?.Not YOLOv8? I trust your opinion, but am curious why?
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Mmailseth replied to the thread CodeProject.ai with License Plate Reader module - HowTo?.I wonder how large of a photo/label pairing dataset you could scrape off of Craigslist or Edmunds? Would probably be more complete in...
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Mmailseth replied to the thread CodeProject.AI Version 2.5.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...
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Mmailseth replied to the thread Some success with a coral tpu (m.2) with CPAI and BI.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...
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Mmailseth replied to the thread CodeProject.AI Version 2.5.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...
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Mmailseth replied to the thread Some success with a coral tpu (m.2) with CPAI and BI.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...
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Mmailseth replied to the thread Some success with a coral tpu (m.2) with CPAI and BI.Good to know. What sort of video stream load are you putting on it? (Average FPS?)
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Mmailseth replied to the thread Some success with a coral tpu (m.2) with CPAI and BI.Sorry to hear that. I hope it’s better in the next version.
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Mmailseth replied to the thread Some success with a coral tpu (m.2) with CPAI and BI.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...
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Mmailseth replied to the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024).The most important part of my calculus ended up being power consumption, which is pretty hard to measure. Running a GPU on a steady...
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Mmailseth reacted to AlwaysSomething's post in the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024) with Like.
I bought both versions of the dual adapter, the M.2 and the PCIe. You can use the DUAL TPU M.2 adapter on top of the adapter I posted...
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Mmailseth replied to the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024).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...
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Mmailseth replied to the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024).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...
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Mmailseth replied to the thread Sharing setups with CodeProject AI on Coral hardware (Spring 2024).There is also this one, but your motherboard has to be compatible with bifurcation. https://a.co/d/cEtN1G7
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Mmailseth replied to the thread How to train a custom YOLOv5 model using CodeProject.AI Training for YoloV5 6.2 module.For the original models: https://coral.ai/models/object-detection/ There are really two models (MobileNet & EfficentDet) in your...
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Mmailseth replied to the thread Some success with a coral tpu (m.2) with CPAI and BI.Here's a feature branch to base any USB work off of that will make it much easier to keep things in sync...