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151 lines
3.4 KiB
151 lines
3.4 KiB
/*
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Copyright (C) 2014 Jerome Revaud
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>
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*/
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#include "pixel_desc.h"
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#include "std.h"
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#include "image.h"
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#include "hog.h"
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#include "conv.h"
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/* convert a float image to a consecutive array
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a bit stupid but well
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*/
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UBYTE_image* image_to_arraytype( image_t* img ) {
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UBYTE_image* res = NEW(UBYTE_image);
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*res = empty_image(UBYTE,img->width,img->height);
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for(int j=0; j<img->height; j++)
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for(int i=0; i<img->width; i++)
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res->pixels[i+j*res->tx] = (UBYTE)img->data[i+j*img->stride];
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return res;
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}
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// set default params
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void set_default_desc_params( desc_params_t* params )
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{
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// default = jpg settings,
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// better in almost all cases
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params->presmooth_sigma = 1.0;
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params->mid_smoothing = 1.0;
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params->post_smoothing = 1.0;
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params->hog_sigmoid = 0.2;
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params->ninth_dim = 0.3;
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params->norm_pixels = false;
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}
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/* extract pixel descriptors (pixel-wise HOG)
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*/
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float_layers* extract_desc( image_t* _img, const desc_params_t* params, int nt )
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{
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// verify parameters
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assert(between(0,params->presmooth_sigma,3));
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assert(between(0,params->mid_smoothing,3));
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assert(between(0,params->post_smoothing,3));
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assert(between(0.05,params->hog_sigmoid,0.8));
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assert(between(0,params->ninth_dim,1));
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assert(between(0,params->norm_pixels,1));
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UBYTE_image* img = image_to_arraytype(_img); // could be optimized but well
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const int npix = img->tx*img->ty;
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//hash_image(img)D(img->tx)D(img->ty)
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// pre-smooth image
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assert( params->presmooth_sigma>=0 );
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if( params->presmooth_sigma>0 )
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_smooth_gaussian( img, params->presmooth_sigma, img, nt );
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//hash_image(img)
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// extract HOG
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float_layers grad = {NEWA(float,npix*2),img->tx,img->ty,2};
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_compute_grad_101( img, 0, &grad, nt );
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//hash_cube(&grad)
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float_layers* hog = NEW(float_layers);
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*hog = {NEWA(float,9*npix),img->tx,img->ty,8};
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_compute_hog( &grad, 1, hog, nt );
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free(grad.pixels);
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free_image(img);
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//hash_layers(hog)
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// mid smoothing
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assert( params->mid_smoothing>=0 );
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if( params->mid_smoothing )
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smooth_hog_gaussian( hog, params->mid_smoothing, nt );
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//hash_layers(hog)
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// apply non-linearity
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assert( params->hog_sigmoid>=0 );
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if( params->hog_sigmoid ) {
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float_array hog_ravel = {hog->pixels,npix*hog->tz};
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sigmoid_array( &hog_ravel, params->hog_sigmoid, 0, nt);
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}
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//hash_layers(hog)
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// final smoothing
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assert( params->post_smoothing>=0 );
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if( params->post_smoothing )
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smooth_hog_gaussian( hog, params->post_smoothing, nt );
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//hash_layers(hog)
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// add ninth dimension and normalize per-pixel
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float* ninth_layer = hog->pixels + hog->tz*npix;
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for(int i=0; i<npix; i++)
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ninth_layer[i] = params->ninth_dim;
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hog->tz++;
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//hash_layers(hog)
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if( params->norm_pixels )
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norm_layers( hog, 1, nt );
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//hash_layers(hog);D(0)getchar();
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return hog;
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}
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