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You problem is pretty simple, basically your training says that it can no longer improve your cascade with the current training samples and settings beyond stage 3. (0 , 1 and 2). This is not an error, rather the algorithm not being able to continue. If you now run your algorithm again with -numStages 3 your model for detection will be generated.
-minHitRate 0.999 -maxFalseAlarmRate 0.5 combined with only 5 positive samples will never work decently. Why putting your minHitRate so high? Start with increasing the amount of positive samples to 50 or 100. Also the ratio positives/negatives is very strange in this case. I would suspect it to be more balanced, like 500 pos and 1200 neg.
