Cascade classifier can't be trained. Check the used training parameters - opencv

I need to detect special image (something like symbol +) in scanned document. I'm going to train cascade using opencv_traincascade program (opencv 3.0)
This is my file structure:
C:\imgs\learn1
Bad
1.bmp
....
Good
1.bmp
....
Bad.dat
Good.dat
This my Bad.dat:
Bad\1.bmp
...
Bad\53.bmp
Bad\img001.jpg
...
Bad\img146.jpg
This is my Good.dat (every good file fully contains the special image and nothing more)
Good\1.bmp 1 0 0 60 59
...
Good\100.bmp 1 0 0 27 28
I've successfuly created vec file.
C:\opencv\build\x64\vc12\bin>opencv_createsamples.exe
-info C:\imgs\learn1\Good.dat
-vec samples.vec
-w 10 -h 10
Info file name: C:\imgs\learn1\Good.dat
Img file name: (NULL)
Vec file name: samples.vec
BG file name: (NULL)
Num: 1000
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: 10
Height: 10
Create training samples from images collection...
C:\imgs\learn1\Good.dat(101) : parse errorDone. Created 100 samples
This is call and result of opencv_traincascade
C:\opencv\build\x64\vc12\bin>
-opencv_traincascade.exe
-data haarcascade
-vec C:\opencv\build\x64\vc12\bin\samples.vec
-bg C:\imgs\learn1\Bad.dat
-numStages 16
-minhiteate 0.99
-maxFalseAlarmRate 0.5
-numPos 80
-numNeg 199
-w 10
-h 10
-mode ALL
-precalcValBufSize 1024
-precalcIdxBufSize 1024
PARAMETERS:
cascadeDirName: haarcascade
vecFileName: C:\opencv\build\x64\vc12\bin\samples.vec
bgFileName: C:\imgs\learn1\Bad.dat
numPos: 80
numNeg: 199
numStages: 16
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: HAAR
sampleWidth: 10
sampleHeight: 10
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
mode: ALL
===== TRAINING 0-stage =====
<BEGIN
POS count : consumed 80 : 80
Train dataset for temp stage can not be filled. Branch training terminated.
Cascade classifier can't be trained. Check the used training parameters.
As you can see, there is some error. Can you help me what is wrong exactly? "Check the used training parameters" is very general phrase.
(The folder C:\opencv\build\x64\vc12\bin\haarcascade exists)

I don't know what was wrong, but I've done it.
1)I've increased number of positive examples to 400
2)I've increased number of negative examples to 398
3)I found that if an image size 61 x 60, I shoud write in Good.dat
Good\1.bmp 1 0 0 60 59
(Image coordinates begin from 0 and end at width-1 and height-1 values)
4)I found type error: minhiteate - > minHitRate
and nothing helps...
5)I try to train in openvc 2.4 and i've got my cascade.xml file
But now I can't use it because of other error, but it's offtopic. (now I,m googling)

Related

OpenCV Error: Bad argument (Can not get new positive sample

I am trying to train my own OpenCV Haar Classifier for cup detection.
I have 100 images which contain cup and 400 images which do not contain cup, So,
No of Positive Images = 100
No. of Negative Images = 400
At first I created dat for both of them by
find ./Negative_Images -name '*.jpg' >negatives.dat
find ./Positive_Images -name '*.jpg' >positives.dat
Next, I run the following command to generate samples (I put value for sample 100 as no of my positive images are 100. Is it right? )
perl createtrainsamples.pl positives.dat negatives.dat samples 100 "opencv_createsamples -bgcolor 0 -bgthresh 0 -maxxangle 1.1 -maxyangle 1.1 maxzangle 0.5 -maxidev 40 -w 80 -h 60"
Now 100 samples (*.jpg.vec) are created in samples folder. Next, I run the following command to generate samples.vac
python ./tools/mergevec.py -v samples/ -o samples.vec
mergevec.py found in the tutorial by mrnugget
Now for the next command is "opencv_haartraining",
opencv_traincascade -data classifier -vec samples.vec -bg negatives.dat -precalcValBufSize 2500 -precalcIdxBufSize 2500 -numPos 100 -numNeg 400 -numStages 15 -minhitrate 0.99 -maxfalsealarm 0.5 -w 80 -h 60
I am receiving error Error: Can not get new positive sample
Someone solved it by numPos = noOfPositiveImages*0.9, But it did not work for me
From different sources, I found a formula to calculate the value for numPose.
vec-file has to contain >= (numPose + (numStages-1) * (1 - minHitRate) * numPose) + S
So far I understand, for me
vec-file has to contain = 100 (As I had 100 positive Images, and from those 100 samples were created)
numStage = 4 (Or it can be any other value, as I want)
minHitRate = 0.99
S = count of samples from vec-file.(Some other place says, the count of all the skipped samples from vec-file (for all stages))
I do not understand, what value should I put for S?
Can anyone explain this formula with example? What value should I put in the command to solve this error?

Opencv_traincascade numstages is not matching with the parameters

I have made a classifier before and didn't have any issues with the opencv_traincascade. I set the numstage at 10, and should expect training 9-stage. However, it surpasses 10 and got killed at training 16-stage.
I looked at my parameters and noticed that the numstage was 20 instead of 10... as what I have shown below.
May someone explain, what I am doing wrong? Why is the parameters saying numstage 20 when I only wanted 10?
/workspace$ opencv_traincascade -data data -vec p.vec -bg bg2.txt -numPos 250 -numNeg 800 numstages 10 -w 50 -h 150
Training parameters are pre-loaded from the parameter file in data folder!
Please empty this folder if you want to use a NEW set of training parameters.
PARAMETERS:
cascadeDirName: data
vecFileName: p.vec
bgFileName: bg2.txt
numPos: 250
numNeg: 800
numStages: 20 <-- *******THIS ONE!********
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: HAAR
sampleWidth: 50
sampleHeight: 150
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
mode: BASIC
Stages 0-15 are loaded
===== TRAINING 16-stage =====
<BEGIN
POS count : consumed 250 : 260
you missed the "-" before numstages (and maybe capital letter, not sure) so the application uses default value 20
please try
opencv_traincascade -data data -vec p.vec -bg bg2.txt -numPos 250 -numNeg 800 -numStages 10 -w 50 -h 150

OpenCV train cascade giving error "“Train dataset for temp stage can not be filled.”

so I've searched this online and this is a pretty common error but I've tried the given solutions to no avail. My cmd log is:
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata>opencv_traincascade -data my_trained -vec positives.vec -bg negativedata.txt -numPos 30 -numNeg 76 -numStages 15 -minHitRate 0.995 -w 197 -h 197 -featureType LBP -precalcValBufSize 1024 -precalcIdxBufSize 1024
PARAMETERS:
cascadeDirName: my_trained
vecFileName: positives.vec
bgFileName: negativedata.txt
numPos: 30
numNeg: 76
numStages: 15
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: LBP
sampleWidth: 197
sampleHeight: 197
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
Number of unique features given windowSize [197,197] : 41409225
===== 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.
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata>
and my negativedata.txt file has 76 lines of info in the form:
negatives/1411814567410.jpg 1 2 2 199 199
negatives/20131225_192702.jpg 1 2 2 199 199
negatives/20131225_193214.jpg 1 2 2 199 199
negatives/20131225_193325.jpg 1 2 2 199 199
negatives/20131225_193327.jpg 1 2 2 199 199
negatives/20131225_193328.jpg 1 2 2 199 199
Please can someone help me pinpoint the issue because I'm still not sure why I'm getting this error. I'm doing this on a windows system. Thank you.
Found out the issue, apparently the bg file shouldn't contain constraints so now my file is in the form
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/ff.JPG
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/fifa.JPG
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/fred.JPG
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG-20140718-WA0008-1.jpg
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG-20150102-WA0013.jpg
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG-20150120-WA0005.jpg
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG_20140109_012313.jpg
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG_20140405_205621.jpg
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG_20140405_214225.jpg
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG_20140405_214225_transparent.png
C:\Users\kosyn_000\Dropbox\OpenCVtrainingdata\negatives/IMG_20140405_214225_transparent_small.png
and it outputted my xml file fine; albeit taking a bit of time. Lol I can't believe it was something so simple holding me back.

What would cause opencv_traincascade to never finish and/or freeze?

I'm trying to run my first opencv training set and I'm not convinced that opencv_traincascade is making progress. For my training set I have 9 positive images and 10 negative images. To create samples I have used
opencv_createsamples -vec box.vec -w 44 -h 50
and for my training set I run
opencv_traincascade -data data -vec box.vec -bg bg.txt -numPos 8 -numNeg 10 -numStages 2 -w 44 -h 50 -featureType LBP
All positive and negative images are 44x50 and here is the output of both tools
opencv_createsamples
Info file name: (NULL)
Img file name: (NULL)
Vec file name: box.vec
BG file name: (NULL)
Num: 1000
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
Original image will be scaled to:
Width: $backgroundWidth / 44
Height: $backgroundHeight / 50
opencv_traincascade
PARAMETERS:
cascadeDirName: data
vecFileName: box.vec
bgFileName: bg.txt
numPos: 8
numNeg: 10
numStages: 1
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: LBP
sampleWidth: 44
sampleHeight: 50
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
===== TRAINING 0-stage =====
<BEGIN
POS count : consumed 8 : 8
NEG count : acceptanceRatio 10 : 1
The training never shows any other output even after many hours of run time. I see no data in my data directory. Clearly i'm doing something wrong and I'd love to know what it is.

Opencv: train cascade image reader

i try to training a classifier, i have create a file .vec whit create sample and it's ok.
Info file name: C:\OpenCV\positive.txt
Img file name: (NULL)
Vec file name: C:\OpenCV\sample.vec
BG file name: (NULL)
Num: 20
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: 50
Height: 50
Create training samples from images collection...
Done. Created 20 samples
and now use training.bat, this is the file:
C:\OpenCV\opencv-2_4\build\x86\vc10\bin\opencv_traincascade.exe -data classifier -vec "C:\OpenCV\samples.vec" -bg "C:\OpenCV\negative.txt" -npos 20 -nneg 16 -numStages 4 -minHitRate 0.999 -maxFalseAllarmRate 0.5 -w 74 -h 100 -mode ALL -precalcvalBuffSize 256 -precalcdxBufSize 256
But when i call training.bat in dos give me this error:
Image reader can not be created from -vec C:\OpenCV\samples.vec and -bg C:\OpenCV\negative.txt.
can someone help?
It generally pops when the files do not exist in the directory you are calling, make sure you wrote the file name and path correctly, and make sure the vector file you are calling has the ".vec" extension.

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