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how can you approach real time? #3

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anibaljasin opened this issue Nov 11, 2019 · 2 comments
Open

how can you approach real time? #3

anibaljasin opened this issue Nov 11, 2019 · 2 comments

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@anibaljasin
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Hi, I tried your implementation and it works fine, it blurred the background pretty well, but I don't have the same performance you show in video in the README.md, Could there be a problem with the way I set up the project? I couldn't install cuda, so i set up the older version of keras-deeplab-v3-plus. Now I'm having like 1 frame per second, how many do you have? I now that the slowest part is when deeplab_model.predict is called but I don't understand where the method predict is.
Thanks in advance.

I'm running this on:

  • Ubuntu 18.04
  • Proccessor model: Intel(R) Core(TM) i7-7500U CPU @ 2.70GHz
@zubairahmed-ai
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Thanks for trying it. You didn't mention your GPU spec so I'm guessing you are trying this on a CPU which is why you're seeing a lower frame rate in my opinion.
I need to get back to my code and try this again since it's been a while but I think 1 FPS is too low

@anibaljasin
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These are my specs:
*-display description: VGA compatible controller product: HD Graphics 620 vendor: Intel Corporation physical id: 2 bus info: pci@0000:00:02.0 version: 02 width: 64 bits clock: 33MHz capabilities: pciexpress msi pm vga_controller bus_master cap_list rom configuration: driver=i915 latency=0 resources: irq:16 memory:ee000000-eeffffff memory:d0000000-dfffffff ioport:f000(size=64) memory:c0000-dffff

I get it doing $ sudo lshw -C display

But I don't know if this is running on my CPU. How did you do to try this on a GPU? What was your GPU specs?

Thanks for your fast reply.

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