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15 Oct 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

i use the example 1 in train_cascade.m
all positive pictures are 24x24
just change the number of training and testing to be smaller
but it always came out the error message as follows
??? Attempted to access options.betaperstage(1); index out of bounds because numel(options.betaperstage)=0.

Error in ==> train_cascade at 527
options.stat(: , nb_stage) = [stat(:) ; options.betaperstage(nb_stage) ; options.alphaperstage(nb_stage)];

can anyone help me i can't figure it out

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03 Sep 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

I'm sorry it doesn't work too.
Could you provide a simple example?
thanks

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13 Aug 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

train_cascade
alpha0=0.8
beta0=0.01
actually the all parameters are the same as Example 1 in train_cascade.m

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09 Aug 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

Hi S├ębastien
I have update to version 0.25
but with using the same training code
with Npostrain=Nnegtrain=1000
it runs perfectly in version 0.24 but not in 0.25
follows are the error message

??? Attempted to access options.betaperstage(1); index out of bounds because numel(options.betaperstage)=0.

Error in ==> train_cascade at 527
options.stat(: , nb_stage) = [stat(:) ; options.betaperstage(nb_stage) ;
options.alphaperstage(nb_stage)];

thanks

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03 Jul 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

5
11 Jun 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

positive is 24*24 have 40 pictures.
negative is less than 500*500 have 1000 pictures.
most training time is on negative part.

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04 Jun 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

Thanks for answering.
But know i have another question.
I'm using "train_cascade" training my own model. And I change Nnegtrain into 1000.
Is it normal that it will take several days for training?
(I mean main loop in train_cascade)

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25 May 2012 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Sebastien PARIS

J

J

HI
i'm trying to train my own model using train_cascade
i use the default value in nargin but change a little bit.
posext into bmp. Npostrain=Nnegtrain=25. Npostest=Nnegtest=15.
With these it cames out the error message 'Attempted to access ufx(3); index out of bounds because numel(ufx)=2.' in train_stage_cascade at 170.
i can't figure out this problem.
thanks.

BTW is the negative picture number must equals to the positive picture number?

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