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Can you specify ideal hardware (camera, computer) to deploy the solution? Thanks
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Just stream it one frame at a time to the model and eat the latency: https://www.youtube.com/watch?v=IHbJcOex6dk if you need more hand holding. There's a reason why there's a whole family of models from tiny to huge.
If you do it naively your video frames will buffer waiting to be consumed causing a memory leak and eventual crash (or quick crash if you’re running on a device with constrained resources). You really need to have a thread consuming the frames and feeding them to a worker that can run on its own clock.
This runs with a Geforce GTX 1060. By a quick search it's 120 W. Maybe it's only the peak power consumption but it's still a lot. Do commercial products, if there are any, consume that much power?
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Maybe don’t buy surveillance hardware from those brands
Not OP, but the reason may be: US - FCC Ban The US Federal Communications Commission (FCC) banned Dahua and Hikvision from new equipment authorizations in November 2022. Most products that use electricity require FCC equipment authorizations; otherwise, they are illegal to import, sell, market, or use, even for private individuals. Jul 5, 2024
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Maybe don’t buy surveillance hardware from those brands
A lot of the commercial-style or commercial-grade IP Cameras sold are rebadged Dahua or Hikvision products. Compromised firmware or other backdoors are a concern for a wide range of products. With IP Cameras, a commonly recommended practice includes putting them on a non-internet accessible network, disabling any remote access, UPnP type features, etc. You can run IP cameras in an air-gapped configuration as well. Ho…
A suggestion: I'd swap llava for Florence-2 for your open set text description. Florence-2 seems uniformly more descriptive in its outputs.
This runs with a Geforce GTX 1060. By a quick search it's 120 W. Maybe it's only the peak power consumption but it's still a lot. Do commercial products, if there are any, consume that much power?
I have something similar. It's not tracking though. Drawing around 10W on a pi, around 7W on a Jetson.
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I have something similar. It's not tracking though. Drawing around 10W on a pi, around 7W on a Jetson.
not sure if i'm misunderstanding - you've got a similar GPU to a 1060 hooked up to a pi?
I’ve never implemented this kind of object persistence algo - is this a good approach? Seems naive but maybe that’s just because it’s simple.