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I use these commands:

1 find ./negatives/ -name '*.jpg' > negatives.dat

2 opencv_createsamples -img object.png -num 3000 -bg negatives.dat -vec samples.vec -maxxangle 0.3 -maxyangle 0.3 -maxzangle 0.3 -maxidev 100 -bgcolor 0 -bgthresh 0 -w 20 -h 20

3 opencv_traincascade -data haarcascade -vec samples.vec -bg negatives.dat -numPos 10 -numNeg 3000 -numStages 2 -w 20 -h 20 -minHitRate 0.7 -maxFalseAlarmRate 0.6 -mode ALL

negative images are from http://tutorial-haartraining.googlecode.com/svn/trunk/

object image is C:\fakepath\object.png

the result is

===== TRAINING 1-stage =====

POS count : consumed 10 : 10

NEG count : acceptanceRatio 3000 : 0.000429487

Required leaf false alarm rate achieved. Branch training terminated.

now, I have no idea how to resolve this problem, need help.

I use these commands:

1 find ./negatives/ -name '*.jpg' > negatives.dat

2 opencv_createsamples -img object.png -num 3000 -bg negatives.dat -vec samples.vec -maxxangle 0.3 -maxyangle 0.3 -maxzangle 0.3 -maxidev 100 -bgcolor 0 -bgthresh 0 -w 20 -h 20

3 opencv_traincascade -data haarcascade -vec samples.vec -bg negatives.dat -numPos 10 -numNeg 3000 -numStages 2 -w 20 -h 20 -minHitRate 0.7 -maxFalseAlarmRate 0.6 -mode ALL

negative images are from http://tutorial-haartraining.googlecode.com/svn/trunk/

object image is C:\fakepath\object.png

the result is

===== TRAINING 1-stage =====

POS count : consumed 10 : 10

NEG count : acceptanceRatio 3000 : 0.000429487

Required leaf false alarm rate achieved. Branch training terminated.

now, I have no idea how to resolve this problem, need help.

I use these commands:

1 find ./negatives/ -name '*.jpg' > negatives.dat

2 opencv_createsamples -img object.png -num 3000 -bg negatives.dat -vec samples.vec -maxxangle 0.3 -maxyangle 0.3 -maxzangle 0.3 -maxidev 100 -bgcolor 0 -bgthresh 0 -w 20 -h 20

3 opencv_traincascade -data haarcascade -vec samples.vec -bg negatives.dat -numPos 10 -numNeg 3000 -numStages 2 -w 20 -h 20 -minHitRate 0.7 -maxFalseAlarmRate 0.6 -mode ALL

negative images are from http://tutorial-haartraining.googlecode.com/svn/trunk/

object image is

the result is

===== TRAINING 1-stage =====

POS count : consumed 10 : 10

NEG count : acceptanceRatio 3000 : 0.000429487

Required leaf false alarm rate achieved. Branch training terminated.

now, I have no idea how to resolve this problem, need help.

I use these commands:

1 find ./negatives/ -name '*.jpg' > negatives.dat

2 opencv_createsamples -img object.png -num 3000 -bg negatives.dat -vec samples.vec -maxxangle 0.3 -maxyangle 0.3 -maxzangle 0.3 -maxidev 100 -bgcolor 0 -bgthresh 0 -w 20 -h 20

3 opencv_traincascade -data haarcascade -vec samples.vec -bg negatives.dat -numPos 10 -numNeg 3000 -numStages 2 -w 20 -h 20 -minHitRate 0.7 -maxFalseAlarmRate 0.6 -mode ALL

negative images are from http://tutorial-haartraining.googlecode.com/svn/trunk/

object image is

the result is

===== TRAINING 1-stage =====

POS count : consumed 10 : 10

NEG count : acceptanceRatio 3000 : 0.000429487

Required leaf false alarm rate achieved. Branch training terminated.

now, I have no idea how to resolve this problem, need help.

I use these commands:

1 find ./negatives/ -name '*.jpg' > negatives.dat

2 opencv_createsamples -img object.png -num 3000 -bg negatives.dat -vec samples.vec -maxxangle 0.3 -maxyangle 0.3 -maxzangle 0.3 -maxidev 100 -bgcolor 0 -bgthresh 0 -w 20 -h 20

3 opencv_traincascade -data haarcascade -vec samples.vec -bg negatives.dat -numPos 10 -numNeg 3000 -numStages 2 -w 20 -h 20 -minHitRate 0.7 -maxFalseAlarmRate 0.6 -mode ALL

negative images are from http://tutorial-haartraining.googlecode.com/svn/trunk/

object image is

the result is

===== TRAINING 1-stage =====

POS count : consumed 10 : 10

NEG count : acceptanceRatio 3000 : 0.000429487

Required leaf false alarm rate achieved. Branch training terminated.

now, I have no idea how to resolve this problem, need help.

answers from stevenputtemans

1. Next time create your own topic

2. Try upping your minHitRate and lower the maxFalseAlarmRate, basically values of 0.99 and 0.5 are used.

3. Try creating negatives without the createsamples tool, the rotation and deviation parameters create unreal samples, which create very bad detector classes.

I use these commands:

I use these commands:

1. find ./negatives/ -name '*.jpg' > negatives.dat

2. opencv_createsamples -img object.png -num 3000 -bg negatives.dat -vec samples.vec -maxxangle 0.3 -maxyangle 0.3 -maxzangle 0.3 -maxidev 100 -bgcolor 0 -bgthresh 0 -w 20 -h 20

3. opencv_traincascade -data haarcascade -vec samples.vec -bg negatives.dat -numPos 10 -numNeg 3000 -numStages 2 -w 20 -h 20 -minHitRate 0.7 -maxFalseAlarmRate 0.6 -mode ALL

negative images are from http://tutorial-haartraining.googlecode.com/svn/trunk/

object image is

the result is

===== TRAINING 1-stage =====

POS count : consumed 10 : 10

NEG count : acceptanceRatio 3000 : 0.000429487

Required leaf false alarm rate achieved. Branch training terminated.

now, I have no idea how to resolve this problem, need help.

answers from stevenputtemans

1. Next time create your own topic

2. Try upping your minHitRate and lower the maxFalseAlarmRate, basically values of 0.99 and 0.5 are used.

3. Try creating negatives without the createsamples tool, the rotation and deviation parameters create unreal samples, which create very bad detector classes.