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Cascade training failed OpenCV 2.4.9.1

I'm trying to train a cascade database with 41 positive images and 500 negative images (as a trail) Here are my steps

pos.info -

pos/pos-001.pgm 1 0 0 100 40

pos/pos-002.pgm 1 0 0 100 40

pos/pos-003.pgm 1 0 0 100 40

so on till 41

neg.txt -

neg/neg-001.pgm

neg/neg-002.pgm

so on till 500

All images are 100x40

all files are on my ubuntu Desktop (even the data folder with no data inside)

To create the vector file

opencv_createsamples -info pos.info -num 40 -w 48 -h 24 -vec pos.vec

To train the database -

opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

Version OpenCV - 2.4.9.1

Here is the copy from my terminal -

--Error-- rojitha@Rojitha:~/Desktop$ opencv_createsamples -info pos.info -num 41 -w 48 -h 24 -vec pos.vec

Info file name: pos.info Img file name: (NULL) Vec file name: pos.vec BG file name: (NULL) Num: 41 BG color: 0 BG threshold: 80 Invert: FALSE Max intensity deviation: 40 Max x angle: 1.1 Max y angle: 1.1 Max z angle: 0.5 Show samples: FALSE Width: 48 Height: 24 Create training samples from images collection... Done. Created 41 samples

rojitha@Rojitha:~/Desktop$ opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

PARAMETERS: cascadeDirName: data vecFileName: pos.vec bgFileName: bg.txt numPos: 30 numNeg: 500 numStages: 10 precalcValBufSize[Mb] : 256 precalcIdxBufSize[Mb] : 256 stageType: BOOST featureType: LBP sampleWidth: 48 sampleHeight: 24 boostType: GAB minHitRate: 0.995 maxFalseAlarmRate: 0.5 weightTrimRate: 0.95 maxDepth: 1 maxWeakCount: 100

===== TRAINING 0-stage =====

BEGIN POS count : consumed 30 : 30 Train dataset for temp stage can not be filled. Branch training terminated. Cascade classifier can't be trained. Check the used training parameters.

Cascade training failed OpenCV 2.4.9.1

I'm trying to train a cascade database with 41 positive images and 500 negative images (as a trail) Here are my steps

pos.info -

pos/pos-001.pgm 1 0 0 100 40

pos/pos-002.pgm 1 0 0 100 40

pos/pos-003.pgm 1 0 0 100 40

so on till 41

neg.txt -

neg/neg-001.pgm

neg/neg-002.pgm

so on till 500

All images are 100x40

all files are on my ubuntu Desktop (even the data folder with no data inside)

To create the vector file

opencv_createsamples -info pos.info -num 40 -w 48 -h 24 -vec pos.vec

To train the database -

opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

Version OpenCV - 2.4.9.1

Here is the copy from my terminal -

--Error-- ~~rojitha@Rojitha:~/Desktop$~~ example@example:~/Desktop$ opencv_createsamples -info pos.info -num 41 -w 48 -h 24 -vec pos.vec

~~rojitha@Rojitha:~/Desktop$~~ example@example:~/Desktop$ opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

===== TRAINING 0-stage =====

BEGIN POS count : consumed 30 : 30 Train dataset for temp stage can not be filled. Branch training terminated. Cascade classifier can't be trained. Check the used training parameters.

Cascade training failed OpenCV 2.4.9.1

I'm trying to train a cascade database with 41 positive images and 500 negative images (as a trail) Here are my steps

pos.info -

pos/pos-001.pgm 1 0 0 100 40 40 pos/pos-002.pgm 1 0 0 100 40 40 pos/pos-003.pgm 1 0 0 100 4040

so on till 41
neg.txt -

neg/neg-001.pgm

neg/neg-002.pgm
**neg.txt -** neg/neg-001.pgm neg/neg-002.pgm

so on till 500

All images are 100x40

all files are on my ubuntu Desktop (even the data folder with no data inside)

To create the vector file

opencv_createsamples -info pos.info -num 40 -w 48 -h 24 -vec pos.vecpos.vec

To train the database -

opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBPLBP

Version OpenCV - 2.4.9.1

Here is the copy from my terminal -

~~--Error--~~ --Error--

example@example:~/Desktop$ opencv_createsamples -info pos.info -num 41 -w 48 -h 24 -vec pos.vec pos.vec Info file name: pos.info Img file name: (NULL) Vec file name: pos.vec BG file name: (NULL) Num: 41 BG color: 0 BG threshold: 80 Invert: FALSE Max intensity deviation: 40 Max x angle: 1.1 Max y angle: 1.1 Max z angle: 0.5 Show samples: FALSE Width: 48 Height: 24 Create training samples from images collection... Done. Created 41 samples samples example@example:~/Desktop$ opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP LBP PARAMETERS: cascadeDirName: data vecFileName: pos.vec bgFileName: bg.txt numPos: 30 numNeg: 500 numStages: 10 precalcValBufSize[Mb] : 256 precalcIdxBufSize[Mb] : 256 stageType: BOOST featureType: LBP sampleWidth: 48 sampleHeight: 24 boostType: GAB minHitRate: 0.995 maxFalseAlarmRate: 0.5 weightTrimRate: 0.95 maxDepth: 1 maxWeakCount: 100 100 ===== TRAINING 0-stage ===== ===== BEGIN POS count : consumed 30 : 30 Train dataset for temp stage can not be filled. Branch training terminated. Cascade classifier can't be trained. Check the used training parameters.parameters.

Cascade training failed OpenCV 2.4.9.1

I'm trying to train a cascade database with 41 positive images and 500 negative images (as a trail) Here are my steps

pos.info -

pos/pos-001.pgm 1 0 0 100 40
pos/pos-002.pgm 1 0 0 100 40
pos/pos-003.pgm 1 0 0 100 40

so on till 41

**neg.txt -**

neg/neg-001.pgm
neg/neg-002.pgm

so on till 500

All images are 100x40

all files are on my ubuntu Desktop (even the data folder with no data inside)

To create the vector file

opencv_createsamples -info pos.info -num 40 -w 48 -h 24 -vec pos.vec

To train the database -

opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

Version OpenCV - 2.4.9.1

Here is the copy from my terminal -

--Error--

example@example:~/Desktop$ opencv_createsamples -info pos.info -num 41 -w 48 -h 24 -vec pos.vec

Info file name: pos.info
Img file name: (NULL)
Vec file name: pos.vec
BG  file name: (NULL)
Num: 41
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 48
Height: 24
Create training samples from images collection...
Done. Created 41 samples


example@example:~/Desktop$ opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

PARAMETERS:
cascadeDirName: data
vecFileName: pos.vec
bgFileName: bg.txt
numPos: 30
numNeg: 500
numStages: 10
precalcValBufSize[Mb] : 256
precalcIdxBufSize[Mb] : 256
stageType: BOOST
featureType: LBP
sampleWidth: 48
sampleHeight: 24
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100

===== TRAINING 0-stage =====

BEGIN
POS count : consumed   30 : 30
Train dataset for temp stage can not be filled. Branch training terminated.
Cascade classifier can't be trained. Check the used training parameters.

NEW ERROR AFTER NEG PATH CORRECTION

example@Example:~/Desktop$ opencv_createsamples -info balls.info -num 41 -w 48 -h 28 -vec balls.vec

Info file name: balls.info
Img file name: (NULL)
Vec file name: balls.vec
BG  file name: (NULL)
Num: 41
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 48
Height: 28
Create training samples from images collection...
Done. Created 41 samples

example@Example:~/Desktop$ opencv_traincascade -data data -vec balls.vec -bg bg.txt -numPos 35 -numNeg 500 -numStages 2 -w 48 -h 28 -featureType LBP

PARAMETERS:
cascadeDirName: data
vecFileName: balls.vec
bgFileName: bg.txt
numPos: 35
numNeg: 500
numStages: 2
precalcValBufSize[Mb] : 256
precalcIdxBufSize[Mb] : 256
stageType: BOOST
featureType: LBP
sampleWidth: 48
sampleHeight: 28
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100

===== TRAINING 0-stage =====
<BEGIN
POS count : consumed   35 : 35
NEG count : acceptanceRatio    500 : 1
Precalculation time: 0
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        0|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 0 minutes 2 seconds.

===== TRAINING 1-stage =====
<BEGIN
POS count : consumed   35 : 35
NEG count : acceptanceRatio    500 : 0.0250715
Required leaf false alarm rate achieved. Branch training terminated.

Cascade training failed OpenCV 2.4.9.1

I'm trying to train a cascade database with 41 positive images and 500 negative images (as a trail) Here are my steps

pos.info -

pos/pos-001.pgm 1 0 0 100 40
pos/pos-002.pgm 1 0 0 100 40
pos/pos-003.pgm 1 0 0 100 40

so on till 41

**neg.txt -**

neg/neg-001.pgm
neg/neg-002.pgm

so on till 500

All images are 100x40

all files are on my ubuntu Desktop (even the data folder with no data inside)

To create the vector file

opencv_createsamples -info pos.info -num 40 -w 48 -h 24 -vec pos.vec

To train the database -

opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

Version OpenCV - 2.4.9.1

Here is the copy from my terminal -

--Error--

example@example:~/Desktop$ opencv_createsamples -info pos.info -num 41 -w 48 -h 24 -vec pos.vec

Info file name: pos.info
Img file name: (NULL)
Vec file name: pos.vec
BG  file name: (NULL)
Num: 41
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 48
Height: 24
Create training samples from images collection...
Done. Created 41 samples


example@example:~/Desktop$ opencv_traincascade -data data -vec pos.vec -bg bg.txt -numPos 30 -numNeg 500 -numStages 10 -w 48 -h 24 -featureType LBP

PARAMETERS:
cascadeDirName: data
vecFileName: pos.vec
bgFileName: bg.txt
numPos: 30
numNeg: 500
numStages: 10
precalcValBufSize[Mb] : 256
precalcIdxBufSize[Mb] : 256
stageType: BOOST
featureType: LBP
sampleWidth: 48
sampleHeight: 24
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100

===== TRAINING 0-stage =====

BEGIN
POS count : consumed   30 : 30
Train dataset for temp stage can not be filled. Branch training terminated.
Cascade classifier can't be trained. Check the used training parameters.

NEW ERROR AFTER NEG PATH CORRECTION

example@Example:~/Desktop$ opencv_createsamples -info balls.info -num 41 -w 48 -h 28 -vec balls.vec

Info file name: balls.info
Img file name: (NULL)
Vec file name: balls.vec
BG  file name: (NULL)
Num: 41
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 48
Height: 28
Create training samples from images collection...
Done. Created 41 samples

example@Example:~/Desktop$ opencv_traincascade -data data -vec balls.vec -bg bg.txt -numPos 35 -numNeg 500 -numStages 2 -w 48 -h 28 -featureType LBP

PARAMETERS:
cascadeDirName: data
vecFileName: balls.vec
bgFileName: bg.txt
numPos: 35
numNeg: 500
numStages: 2
precalcValBufSize[Mb] : 256
precalcIdxBufSize[Mb] : 256
stageType: BOOST
featureType: LBP
sampleWidth: 48
sampleHeight: 28
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100

===== TRAINING 0-stage =====
<BEGIN
POS count : consumed   35 : 35
NEG count : acceptanceRatio    500 : 1
Precalculation time: 0
+----+---------+---------+
|  N |    HR   |    FA   |
+----+---------+---------+
|   1|        1|        0|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 0 minutes 2 seconds.

===== TRAINING 1-stage =====
<BEGIN
BEGIN
POS count : consumed   35 : 35
NEG count : acceptanceRatio    500 : 0.0250715
Required leaf false alarm rate achieved. Branch training terminated.