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HOGDescriptor::detectMultiScale with TBB on ARM

asked 2013-05-22 04:41:58 -0500

gvi gravatar image

Hi all! I have implemented in an ARM a computer vision application that uses OpenCV's HOGDescriptor::detectMultiScale. I have found that the execution of HOGDescriptor::detectMultiScale function is accelerated a lot when I compile OpenCV with TBB option:

  • Running time without TBB: 317 ms
  • Running time with TBB: 122.5 ms

Is this the correct behaviour?? I found it very strange, as the ARM I am using has only two cores. How does the TBB acceleration work?? why is so efficient?

I am using a ARM® dual-core Cortex™-A9 MPCore™ / 800 MHz, OpenCV 2.4.3, and TBB 4.1.

Thanks in advance!

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answered 2013-07-10 09:10:27 -0500

nessence gravatar image

That is correct behavior. Most of the OpenCV codebase uses Intel TBB and parallel_for() to stripe matrix operations to make use of multiple cores. Most of the algorithms for histogram of gradients can be parallelized which is why it runs so much faster.

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answered 2016-02-25 02:06:06 -0500

amlan gravatar image

Is any other header files are required in the code to use tbb in opencv?

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Asked: 2013-05-22 04:41:58 -0500

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Last updated: Jul 10 '13