Error in train cascade, is it caused by my .vec file?

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Do you mean my output is my positive description??

Yes, like you posted! I can see the error directly. Windows allows to use spaces in names of files, like the _(1) on the second line. However, OpenCV cannot handle these strings, nor do C++ functions work well with them. You should avoid spaces in names at all times!

thanks sir, it's works now, I create 1098 samples.. but when I try opencv_traincascade my laptop suddenly shutdown at stage 6.. the command same like in pic above, but with precalcValBufSize and precalcIdxBufSize in 512.. and can I pause the training or just close command prompt and continue it??

You are running into memory problems. Put both precalcValBufSize and precalcIdxBufSize to lets say 2048 and the problem will disappear. As to the continuing, go to your cascade folder with all the stages, remove the last stage (cause that one crashed) and just start your training command again. It will continue at the crashed stage with training. Also, do accept answers if they suited your needs!

Didn't precalcValBufSize and precalcIdxBufSize is related with RAM sir?? And I want ask what I must do to grouping these 20 stages xml files, and which xml file I use in opencv_performance (there's cascade.xml, params.xml, and 0-19 stages) Sorry I'm still noob in here, already done accepted your answer sir.. Thanks for helping me sir...

Yes it is related with RAM, it defines how much memory can be used to store in between results and feature values. The higher the value, the faster the training off-course because less splitting of data has to be done. If you have 20 stage files and you want to combine them into a model, run the training command again but replace -numStages by 20! This will read them in and combine them, so you could stop training, make a model and test. Then you can continue training if you want to improve. The performance tool cannot read models created by the traincascade application. It has not been implemeted yet. It only works with the old models, trained by the haartraining application.

So I just need to re-command training again sir for test it?? Actually, I'm using -numStages 20 before sir... My friend told me, it's better result when used with haartraining rather than traincascade, is that true sir??

Yes you give command on which level you want to test. And yes haartraining is a bit better, but its training time is exponentially larger!

I already try the training command, and I put the result pic above, it's just loaded... Am I wrong sir??

nope it is not, the resulting cascade.xml file is now the stage0-19 combined. That you can use as a model for detection!