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Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -nu mNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureT ype LBP -w 160 -h 50

**PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

- - ===== TRAINING 3-stage ===== - <begin -="" pos="" count="" :="" consumed="" 600="" :="" 603**<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -nu mNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureT ype LBP -w 160 -h 50

**PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

- - ===== TRAINING 3-stage ===== - <begin -="" pos="" count="" :="" consumed="" 600="" :="" 603**<="" 603<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -nu mNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureT ype LBP -w 160 -h 50

**PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

- - -


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow. I know there is a TBB (multi-threading)function, but some posts pointed out it won't make a significant speed-up.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -nu mNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureT ype LBP -w 160 -h 50

**PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

-


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow. I know there is a TBB (multi-threading)function, but some posts pointed out it won't make a significant speed-up.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -nu mNeg -numNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureT ype LBP -w 160 -h 50

**PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

-


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow. I know there is a TBB (multi-threading)function, but some posts pointed out it won't make a significant speed-up.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -numNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureT ype -featureType LBP -w 160 -h 50

**PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

-


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stop stops at the stage three and do not make any progress anymore. I wonder if there is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow. I know there is a TBB (multi-threading)function, but some posts pointed out it won't make a significant speed-up.

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -numNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureType LBP -w 160 -h 50

**PARAMETERS:PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

-


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stops at the stage three and do not make any progress anymore. I wonder if there anymore.

A warning is any mistakes I made during the training process. Besides, the speed of opencv_traincascade.exe is quite slow. I know there is a TBB (multi-threading)function, but some posts pointed out it won't make a significant speed-up.shown: Assertion failed (_step >= minstep) in unknown function, file C:\o penCV_file\opencv\modules\core\include\opencv2/core/mat.hpp, line 143

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -numNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureType LBP -w 160 -h 50

PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

-


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">

click to hide/show revision 9
retagged

updated 2013-11-07 02:04:55 -0500

berak gravatar image

Concerning the speed of opencv_traincascaded.exe

I am now implementing a project for the pattern recognition and using the opencv's opencv_traincascaded.exe to train a classifier. The background of my project is like this. I have 800 positive image samples and 2090 negative image samples, and the ratio between them is reasonable I guess. All are in jpg format.

I used this command to train the classfier as follows. As I have made a crash during the training, I changed the number of samples from 800 to 600. After that, the program can function properly. Unfortunately, it stops at the stage three and do not make any progress anymore.

A warning is shown: Assertion failed (_step >= minstep) in unknown function, file C:\o penCV_file\opencv\modules\core\include\opencv2/core/mat.hpp, line 143

I have read a lot of posts regarding this issue. But they do not give me a satisfying answer. Hope anyone can help me solve it. Thanks in advance!

Program Code

opencv_traincascade.exe -data dt -vec pos.vec -bg neg/bg.txt -numPos 600 -numNeg 2090 -numStages 20 -precalcValbufSize 1024 -precalcdxBufSize 1024 -featureType LBP -w 160 -h 50

PARAMETERS:

  • cascadeDirName: dt
  • vecFileName: pos.vec
  • bgFileName: neg/bg.txt
  • numPos: 600
  • numNeg: 2090
  • numStages: 20
  • precalcValBufSize[Mb] : 1024
  • precalcIdxBufSize[Mb] : 1024
  • stageType: BOOST
  • featureType: LBP
  • sampleWidth: 160
  • sampleHeight: 50
  • boostType: GAB
  • minHitRate: 0.995
  • maxFalseAlarmRate: 0.5
  • weightTrimRate: 0.95
  • maxDepth: 1
  • maxWeakCount: 100
  • Stages 0-2 are loaded

-


===== TRAINING 3-stage ===== <begin pos="" count="" :="" consumed="" 600="" :="" 603<="" p="">