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cascade classifier training error

asked 2013-05-12 20:37:31 -0500

JAChen gravatar image

updated 2013-05-12 20:41:46 -0500

Hi everyone,

I want to use the cascade classifier training of OpenCV 2.4.5.0.

I have done step by step as http://docs.opencv.org/doc/user_guide/ug_traincascade.html

but have error message as following


PARAMETERS:

cascadeDirName: Data\cascade\

vecFileName: Pos\pos.vec

bgFileName: Neg\neg.txt

numPos: 300

numNeg: 900

numStages: 10

precalcValBufSize[Mb] : 256

precalcIdxBufSize[Mb] : 256

stageType: BOOST

featureType: HAAR

sampleWidth: 20

sampleHeight: 20

boostType: GAB

minHitRate: 0.995

maxFalseAlarmRate: 0.5

weightTrimRate: 0.95

maxDepth: 1

maxWeakCount: 100

mode: BASIC

===== TRAINING 0-stage =====

<begin< p="">

POS count : consumed 300 : 300

NEG count : acceptanceRatio 900 : 1

Precalculation time: 23.314

+----+---------+---------+

| N | HR | FA |

+----+---------+---------+

OpenCV Error: Assertion failed (dims <= 2 && data && (unsigned)i0 < (unsigned)si

ze.p[0] && (unsigned)(i1 * DataType<_Tp>::channels) < (unsigned)(size.p[1] * cha

nnels()) && ((((sizeof(size_t)<<28)|0x8442211) >> ((DataType<_Tp>::depth) & ((1

<< 3) - 1))*4) & 15) == elemSize1()) in unknown function, file D:\OpenCV\opencv_

src\modules\core\include\opencv2/core/mat.inl.hpp, line 722


I traced this error in source code.

The error might be due to wrong pointer assignment

boost.cpp line 726


const unsigned short* shortIndices = (const unsigned short*)(buf->data.s +

n->buf_idxget_length_subbuf() + visample_count + n->offset );


I do not know how to fix this error.

Did I make any mistakes such as wrong input setting?

Could anybody help me, please.

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answered 2013-05-15 19:16:46 -0500

eanes gravatar image

Are your neg images in gray level mode?

This error may be related to number of channels of the images.

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Comments

My input image format was bmp file. And I also used gray level images, it did not work.

================= Error message =============== Train dataset for temp stage can not be filled. Branch training terminated. Cascade classifier can't be trained. Check the used training parameters.

JAChen gravatar imageJAChen ( 2013-05-22 06:50:59 -0500 )edit
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Asked: 2013-05-12 20:37:31 -0500

Seen: 645 times

Last updated: May 15 '13