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 ...
(more)