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Are there any ways to generate a HAAR cascade faster?

asked 2016-08-08 17:25:07 -0600

The current version of opencv train cascades seems to be single threaded other than precalculation steps and very very slow.

I'm wondering if: a) there's any GPU accelerated version of opencv_traincascade. b) if there isn't, is there a documented version or some pseudocode for it, I could try to parallelize it myself. c) is using HAAR cascade worth it? Do they even perform well in non-faces? I'm using this for street signs and differentiating between different types and there's a lot of incorrect classification. d) if it's not worth it, what would be better for classifying images and more importantly, searching for a subset of the image that matches it. e) general HAAR cascade question: why does the cascade provided with opencv for faces capture the entire face while one I generate only gets the size of the cascade? I checked and the cascade provided is only 24x24. Why does detect multi scale show the right scales for only the default face detection system?

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answered 2018-03-06 04:06:18 -0600

Joshitha gravatar image

I found this Blog helpful:

Amin Ahmadi

But the xml file created at the end of the process does not work with our Python codes.

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Asked: 2016-08-08 17:25:07 -0600

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Last updated: Mar 06 '18