Cascade Training: killed and bad_alloc

asked 2014-02-24 11:14:29 -0600

Rolo
16 ●1 ●1 ●4

Hi everyone,

I have OpenCV 2.4.7 installed on Amazon Linux (similar to Centos 6 - 64-bit). I've been following several tutorials online to create haar cascade classifier files, but have run into issues with both commands: opencv_traincascade and opencv_haartraining

In my experiments I have 40 positive images and 664 negative images (all cropped to w=300 h=100).

The tutorial used for generating samples etc. was found here: http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html

1) Command: opencv_traincascade -data classifier -vec samples.vec -bg negatives.txt -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 40 -numNeg 664 -w 300 -h 100 -mode ALL -precalcValBufSize 1024 -precalcIdxBufSize 1024

Result: terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc Aborted

2) Command: opencv_haartraining -data classifier -vec samples.vec -bg negatives.txt -nstages 20 -minhitrate 0.995 -maxfalsealarmrate 0.5 -npos 40 -nneg 664 -w 300 -h 100 -mode ALL

Result: Stuck at stage 0 and the script simply returns the word "Killed"

Any help of experience anyone can share would be greatly appreciated. Please also respond if you believe I need to supply more information. New to cascade training.

Thanks

answered 2014-02-24 13:02:00 -0600

Abhishek Kumar Annamraju

190 ●2 ●9 http://abhishek4273.wo...

Hi Mark,

The error std::bad_alloc occurs when you fail to allocate required storage space.

1)you need to reduce the size of positive and negative images.Max preferable dimension is width=100 and height=100.It would be really good if you could resize them to be around w=20 and h=20.

2)Try to set numPos = 0.9 * number_of_positive_samples and 0.99 as a minHitRate

3)vec-file has to contain >= (numPose + (numStages-1) * (1 - minHitRate) * numPose) + S, where S is a count of samples from vec-file.S is a count of samples from vec-file that can be recognized as background right away.

4)To just test lightly on a temporary basis keep number of stages less(around 5-10).

5)It usually takes a lot of time to train,so be patient.

6)try this:

add -nonsym -mem 512 to your opencv_haartraining command

Again if you want you could refer to my blog:click here

Hope this helps you:)

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Thank you so much for your response :) I've passed the bad_alloc error and while I'm not 100% certain I believe the secret sauce may have been the -nonsysm -mem 512 addition to the opencv_traincascade call.

I will follow up again once the training has completed.

Rolo ( 2014-02-24 13:47:10 -0600 )edit

I'm using some C++ code to generate opencv_train_cascade command

opencv_traincascade -data classifier -vec samples.vec -bg negatives.txt -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 400 -numNeg 961 -w 80 -h 80 -mode ALL -precalcValBufSize 2048 -precalcIdxBufSize 2048

I get the "Killed error" and I tried to add -nonsym -mem 512, but I got

'C++ basic_string::_M_construct null not valid

It seems that such option is not accepted in training command (I haven't found it on official page, indeed). Any suggestion? thanks

biagio montesano ( 2016-11-29 11:17:12 -0600 )edit

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