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2015-07-27 05:45:38 -0600 received badge  Supporter (source)
2015-07-24 09:52:53 -0600 commented answer Improve training cascade speed

Yes. I done them grayscale images and then use _EqualizeHist(), but there are too high false results....

2015-07-23 06:57:50 -0600 commented answer Improve training cascade speed

Well. I already saw that, and use, but accuracy of detecting was too bad. For example: another color of image and matching template failed, returing nothing. 1-2 pixels are another and again - no detect....

2015-07-20 17:12:28 -0600 commented answer Improve training cascade speed

Could you give more info about template matching? And what problems to do multicore grabbing negatives? I think that if this was easy, it would be done already isn't it?

2015-07-20 05:05:32 -0600 commented answer Improve training cascade speed

And what difference between basic core and all mode? In what context we could use core mode? For example: I have static picture (logo of Microsoft) and want to detect it. I must use basic core or all mode for that? As I know, basic only for pictures without any degree rotated pictures, or I am wrong?

2015-07-20 04:42:09 -0600 commented answer Improve training cascade speed

What output you need? I could not attach any files. Here link to mega: https://mega.co.nz/#!FFl3UR7Z!Izgy779...

2015-07-19 13:04:21 -0600 commented answer Improve training cascade speed
2015-07-18 14:34:11 -0600 asked a question Improve training cascade speed

Hello. I compilied Open CV with TBB (at wiki some errors about using sources of TBB (you must use binary files and import folder, also add path of TBB to windows path)). I think that I could use all cores for loading negatives, but only one core used for that....So I have 2 questions: 1) How improve training cascade speed? Now I use this: opencv_traincascade.exe -data haarcascade -vec samples.vec -bg BadN.dat -numStages 16 -minhitrate 0.999 -maxFalseAlarmRate 0.4 -numPos 67 -numNeg 570 -w 40 -h 20 -mode ALL -precalcValBufSize 2048 -precalcIdxBufSize 2048 My image is static (It is logo), for example - logo of HP. 2) How use all cores of server for loading negatives? (I have xeon server for that)

Thanks!