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@MOj0 MOj0 commented Nov 9, 2021

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@Erol444
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Erol444 commented Nov 9, 2021

XLinkIn / ImageManip are just part of the RAM consumers. I believe VideoEncoder consumes a lot of RAM, please try it out (using debugging to view RAM), measure the amount of RAM 1 VideoEncoder uses at eg. 1080P, 4k... and add results here, under eg. VideoEncoder RAM usage sub-header. You could also mention that all devices have 0.5GB (4Gbit) RAM (@Luxonis-David to cross-check me here), which is used for firmware (about 15MB), assets (eg Neural networks, which can be a few kb to 100MB+), and then the rest of it is used by resources (node pools where messages are stored). Maybe Martin can expand on this.

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@Erol444 correct

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Erol444 commented Nov 19, 2021

I will be finishing this PR, as Mojo doesn't have much time. New version below. Thoughts @themarpe / @szabi-luxonis ?
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A couple of changes, LGTM from my perspective

@Erol444 Erol444 self-requested a review November 19, 2021 16:47
device.setLogLevel(dai.LogLevel.DEBUG)
device.setLogOutputLevel(dai.LogLevel.DEBUG)

There might be some memory issues when creating a larger number (around 10) of :ref:`ImageManip`, :ref:`XLinkIn` and other nodes.
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having 10 imagemanip won't cause memory issues if frames are small - so I would leave this sentence out.

@Erol444 Erol444 merged commit 595c57a into main Nov 19, 2021
@Erol444 Erol444 deleted the update-python-docs-pages branch November 19, 2021 16:47
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6 participants