So what’s with all the heat sinking? Does this thing draw a couple of kilowatts?
Not sure how long it takes to boot - when I plug it in it’s ready by the time I’ve run the sample code. I haven’t tried to run the code immediately after plugging in the USB though. I just looked through the python API - I don’t see a sleep mode. But you can look at the documentation yourself here:
https://docs.luxonis.com/en/latest/
I’ve thought of the OAK-D as a lidar replacement. Maybe especially outside where the cheap lidars don’t work so well. It does have a separate power supply - that’s to ensure steady power according to the faqs
Looks like the OAK-D takes more then 500 mA but <= 900 mA
https://docs.luxonis.com/en/latest/pages/faq/#can-i-power-depthai-completely-from-usb
It seem like what they’re calling the depthai is essentially the same thing as the OAK-D. It’s got a USB-C connector, which should have been enough from a true USB C port, but it comes with a USB-A to C cable - they’re probably right in assuming USB-C isn’t yet common enough to depend on.
The OAK-1 just has the USB input. So I’m sure it needs less than 500 mA, just not sure how much less.
/K
Just when I open myself to learning about TensorFlow and TensorFlow-Lite:
This morning I read [emphasis mine] “Some machine learning teams actually have no engineers writing in those lower-level frameworks like TensorFlow and Pytorch.” (Christopher Re, Stanford University associate professor of computer science, “Software 2.0” talk.)
Is the concern that that it will be too low level? I think a lot of ML is done by using pre-built classifiers and training those with a training set. So you don’t actually have to do a lot of low level stuff - it’s a bit more plug-and-play. Results may not be as optimized as starting from scratch, but good enough for most needs.
/K