Using GpuCascadeClassifier with self trained cascade file

asked 2017-02-07 04:14:09 -0600

ashgard
1 ●1

updated 2017-02-07 06:09:01 -0600

I have trained a couple of cascade.xml files using opencv_traincascade. The feature type I'm using is HOG and LBP (not HAAR). The MultiScaleDetection works pretty good. But I would like to speed up the function a bit. I've seen that using GpuCascadeClassifier could improve the speed of the MultiScaleDetection quite a bit. However, If I replace my CascadeClassifier with the GpuCascadeClassifier I get the following error "OpenCV: The node does not represent a user object (unknown type?)".

I've seen people suggesting to use the old xml format (-baseFormatSave flag in opencv_traincascade). However, that only works for HAAR feature types, as I am using HOG and LBP that doesn't work me.

The version (emgucv) I'm using is: emgucv-windows-universal-cuda 2.4.10.1940

Should I modify something in the opencv_traincascade process? Would it perhaps work with the latest 3.0 version? Does anyone have suggestions for me?

Thanks

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Thanks for you reply! That raises a couple of new questions:

I've quickly looked at the GpuCascadeClassifier alternative in opencv 3. I believe that's CudaCascadeClassifier, correct?

I suppose the Gpu varient of opencv 2 is more general(?) and the Cuda version of opencv 3 is only supported by some graphic cards of Nvida?
Does this function accept self trained cascade files?

Too bad the HOG cascade is not supported anymore. I was using HOG because of it's ability to detect objects based on shape.

Isn't there still a HOGDescriptor::detectMultiScale function?
What's the supposed alternative?

ashgard ( 2017-02-07 15:14:59 -0600 )edit

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