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: $backgroundHeight / 50
opencv_traincascade
PARAMETERS:
cascadeDirName: data
vecFileName: box.vec
bgFileName: bg.txt
numPos: 8
numNeg: 10
numStages: 1
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: LBP
sampleWidth: 44
sampleHeight: 50
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
===== TRAINING 0-stage =====
<BEGIN
POS count : consumed 8 : 8
NEG count : acceptanceRatio 10 : 1
The training never shows any other output even after many hours of run time. I see no data in my data directory. Clearly i'm doing something wrong and I'd love to know what it is.
Related
I have made a classifier before and didn't have any issues with the opencv_traincascade. I set the numstage at 10, and should expect training 9-stage. However, it surpasses 10 and got killed at training 16-stage.
I looked at my parameters and noticed that the numstage was 20 instead of 10... as what I have shown below.
May someone explain, what I am doing wrong? Why is the parameters saying numstage 20 when I only wanted 10?
/workspace$ 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
Background: I am trying to train my own OpenCV Haar Classifier for face detection. I am working on a VM with Ubuntu 16.04, my working directory has 2 sub-directories: face containing 2429 images of positives, non-face containing 4548 images of negatives. All images are png, gray scale and have both width and height 19 pixels. I have generated a file positives.info that contains the absolute path to every positive image followed by " 1 0 0 18 18", like so:
/home/user/ML-Trainer/face/face1.png 1 0 0 18 18
/home/user/ML-Trainer/face/face2.png 1 0 0 18 18
/home/user/ML-Trainer/face/face3.png 1 0 0 18 18
and another file negatives.txt that contains the absolute path to every positive image
/home/user/ML-Trainer/non-face/other1.png
/home/user/ML-Trainer/non-face/other2.png
/home/user/ML-Trainer/non-face/other3.png
First I ran the following command:
opencv_createsamples -info positives.info -vec positives.vec -num 2429 -w 19 -h 19
and I get the positives.vec as expected, I then created a empty directory data and ran the following:
opencv_traincascade -data data -vec positives.vec -bg negatives.txt -numPos 2429 -numNeg 4548 -numStages 10 -w 19 -h 19 &
It seems to run smoothly:
PARAMETERS:
cascadeDirName: data
vecFileName: positives.vec
bgFileName: negatives.txt
numPos: 2429
numNeg: 4548
numStages: 10
precalcValBufSize[Mb] : 1024
precalcIdxBufSize[Mb] : 1024
acceptanceRatioBreakValue : -1
stageType: BOOST
featureType: HAAR
sampleWidth: 19
sampleHeight: 19
boostType: GAB
minHitRate: 0.995
maxFalseAlarmRate: 0.5
weightTrimRate: 0.95
maxDepth: 1
maxWeakCount: 100
mode: BASIC
Number of unique features given windowSize [19,19] : 63960
===== TRAINING 0-stage =====
<BEGIN
POS count : consumed 2429 : 2429
NEG count : acceptanceRatio 4548 : 1
Precalculation time: 13
+----+---------+---------+
| N | HR | FA |
+----+---------+---------+
| 1| 1| 1|
+----+---------+---------+
| 2| 1| 1|
+----+---------+---------+
| 3| 0.998765| 0.396218|
+----+---------+---------+
END>
Training until now has taken 0 days 0 hours 1 minutes 7 seconds.
But then I get the following error:
===== TRAINING 1-stage =====
<BEGIN
POS current samplOpenCV Error: Bad argument (Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
) in get, file /home/user/opencv-3.4.0/apps/traincascade/imagestorage.cpp, line 158
terminate called after throwing an instance of 'cv::Exception'
what(): /home/user/opencv-3.4.0/apps/traincascade/imagestorage.cpp:158: error: (-5) Can not get new positive sample. The most possible reason is insufficient count of samples in given vec-file.
in function get
How do I solve this:
samplOpenCV Error: Bad argument
Any help would be greatly appreciated.
EDIT:
I have modified -numPos to a smaller number: 2186 (0.9 * 2429), I did this after reading this answer and it got me to
===== TRAINING 3-stage =====
and it gives me the same error. How should I tune the parameters for the opencv_createsamples command?
I eventually managed to make it work by respecting this formula:
vec-file >= (numPos + (numStages-1) * (1-minHitRate) * (numPose) + S)
numPose - number of positive samples which is used to train each stage
numStages - the count of stages which a cascade classifier will have after the training
S - the count of all the skipped samples from vec-file (for all stages)
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.
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.
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)