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Can I increase number of SVM training label?

asked 2013-09-11 10:47:21 -0500

Tri Truong gravatar image

updated 2013-09-11 15:57:12 -0500

Moster gravatar image

I'm building OCR application with Visual Studio 2010, C++, SVM in OpenCV. It's ok when I train SVM with under 181 different labels but fails when over 181 labels. Below is IDE and OpenCV error message and my code. Please help me, thank you so much!

IDE error message

First-chance exception at 0x771e4b32 in OCR.exe: Microsoft C++ exception: cv::Exception at memory location 0x0081da74.. The thread 'Win32 Thread' (0xdac) has exited with code -1073741510 (0xc000013a). The program '[2512] OCR.exe: Native' has exited with code -1073741510 (0xc000013a).

OpenCV error message

......\src\opencv\modules\core\src\datastructs.cpp:332: error: (-211) requested size is negative or too big

SVM's configuration

CvSVMParams params; 
params.svm_type = CvSVM::C_SVC; 
params.kernel_type = CvSVM::LINEAR; 
params.term_crit  = cvTermCriteria(CV_TERMCRIT_ITER, 100, 1e-6);

SVM.train( training_vectors, training_labels, cv::Mat(), cv::Mat(), params );
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answered 2013-09-11 15:55:10 -0500

The SVM kernel type have to change from linear to RBF.

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Asked: 2013-09-11 10:47:21 -0500

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Last updated: Sep 11 '13