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accuracy of uniform lbp is scandal

asked 2017-03-13 00:58:24 -0500

sabra gravatar image

updated 2017-03-13 03:34:07 -0500

hi, im using opencv func for uniform lbp (LUT ) and accuracy of recognition get worth but i read that this will not happen,what am i wrong?

read images

resize each image

lut(images,lookup table,images);

train images detection

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you'll probably have to show us, what you're doing.

and yes, slight decrease in accuracy is expected.

berak gravatar imageberak ( 2017-03-13 01:54:09 -0500 )edit

@berak : i edited it,if you need more details, i must first sort my code :)

sabra gravatar imagesabra ( 2017-03-13 03:35:19 -0500 )edit

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answered 2017-03-13 03:39:33 -0500

berak gravatar image

updated 2017-03-13 03:52:56 -0500

yea, cleaning up is always a good idea..

but already from here: you'd have to apply the lut to the LBP image, not the grayscale input !

(which also means, you'd have to interfere with the library code !)

e.g. it should go here here , then also the number of histogram bins should be adapted here from 256 to 59

(this is the actual feature reduction)

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tnx alot but in second link what is your mean?

 static_cast<int>(std::pow(2.0, static_cast<double>(_neighbors))),

this result is 2^8 so

should i set it to static_cast<int>(59) ?

sabra gravatar imagesabra ( 2017-03-13 06:18:05 -0500 )edit

you probably don't need the cast, but yes, to 59.

berak gravatar imageberak ( 2017-03-13 06:22:24 -0500 )edit

@berak i did all but : assertion failed : (lutcn == cn || lutcn == 1) && lut.total() == 256 && lut.isContinuous() && (src.depth() == CV_8U || src.depth() == CV_8S) in function LUT

sabra gravatar imagesabra ( 2017-03-14 00:59:30 -0500 )edit

i cheked like below

        Mat lookup(1,256,CV_32S, uniform); // make a Mat from it
        bool x=lookup.isContinuous();
        int cnn=lookup.channels();
        int y=lookup.total();
        int z= lbp_image.depth();
            LUT(lbp_image,lookup,lbp_image);// =====> error appear here

        Mat p = spatial_histogram(
                lbp_image, /* lbp_image */
                static_cast<int>(59), /* number of possible patterns */
                _grid_x, /* grid size x */
                _grid_y, /* grid size y */
                true);

x--> true

cnn-->1

y-->256

z-->4

@berak

sabra gravatar imagesabra ( 2017-03-14 01:16:43 -0500 )edit

yea, sorry. problem is here <--> (src.depth() == CV_8U || src.depth() == CV_8S)

berak gravatar imageberak ( 2017-03-14 02:35:19 -0500 )edit

so? what can i do? please @berak

sabra gravatar imagesabra ( 2017-03-14 02:48:11 -0500 )edit

make dst uchar, also here

ofc. that means, you have to stick wit exactly 8 neighbours. (do you understand, why ?)

berak gravatar imageberak ( 2017-03-14 02:55:12 -0500 )edit

how make dst uchar? what changes are need? sorry im inexperienced @berak

sabra gravatar imagesabra ( 2017-03-14 03:14:42 -0500 )edit
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Asked: 2017-03-13 00:58:24 -0500

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Last updated: Mar 13 '17