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"Train dataset for temp stage can not be filled." on opencv_traincascade

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I'm trying to make a Haar Feature-based Cascade Classifier using opencv_traincascade. But I have had this message. PS C:\cascade2\TrainingData> opencv_traincascade -data .\result\ -vec positive.vec -bg .\negative.txt -numPos 4500 -numNeg 2355 -f HAAR -mode ALL PARAMETERS: cascadeDirName: .\result\ vecFileName: positive.vec (positive.vec is made of 5000 JPEG files created by create_samples and one JPEG file.) bgFileName: .\negative.txt numPos: 4500 numNeg: 2355 numStages: 20 precalcValBufSize[Mb] : 256 precalcIdxBufSize[Mb] : 256 stageType: BOOST featureType: HAAR sampleWidth: 24 sampleHeight: 24 boostType: GAB minHitRate: 0.995 maxFalseAlarmRate: 0.5 weightTrimRate: 0.95 maxTreeDepth: 1 maxWeakCount: 100 mode: BASIC Stages 0-9 are loaded ===== TRAINING 10-stage ===== BEGIN Train dataset for temp stage can not be filled. Branch training terminated. This attempt is the second time. When I tried it for the first time, Anything goes from stage0 to stage9. But I received the same error on stage10. What should I do?

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