Visualizations?

This commit is contained in:
Joseph Redmon
2014-04-16 17:05:29 -07:00
parent cc06817efa
commit 738cd4c2d7
10 changed files with 438 additions and 55 deletions

96
src/normalization_layer.c Normal file
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#include "normalization_layer.h"
#include <stdio.h>
image get_normalization_image(normalization_layer layer)
{
int h = layer.h;
int w = layer.w;
int c = layer.c;
return float_to_image(h,w,c,layer.output);
}
image get_normalization_delta(normalization_layer layer)
{
int h = layer.h;
int w = layer.w;
int c = layer.c;
return float_to_image(h,w,c,layer.delta);
}
normalization_layer *make_normalization_layer(int batch, int h, int w, int c, int size, float alpha, float beta, float kappa)
{
fprintf(stderr, "Local Response Normalization Layer: %d x %d x %d image, %d size\n", h,w,c,size);
normalization_layer *layer = calloc(1, sizeof(normalization_layer));
layer->batch = batch;
layer->h = h;
layer->w = w;
layer->c = c;
layer->kappa = kappa;
layer->size = size;
layer->alpha = alpha;
layer->beta = beta;
layer->output = calloc(h * w * c * batch, sizeof(float));
layer->delta = calloc(h * w * c * batch, sizeof(float));
layer->sums = calloc(h*w, sizeof(float));
return layer;
}
void resize_normalization_layer(normalization_layer *layer, int h, int w, int c)
{
layer->h = h;
layer->w = w;
layer->c = c;
layer->output = realloc(layer->output, h * w * c * layer->batch * sizeof(float));
layer->delta = realloc(layer->delta, h * w * c * layer->batch * sizeof(float));
layer->sums = realloc(layer->sums, h*w * sizeof(float));
}
void add_square_array(float *src, float *dest, int n)
{
int i;
for(i = 0; i < n; ++i){
dest[i] += src[i]*src[i];
}
}
void sub_square_array(float *src, float *dest, int n)
{
int i;
for(i = 0; i < n; ++i){
dest[i] -= src[i]*src[i];
}
}
void forward_normalization_layer(const normalization_layer layer, float *in)
{
int i,j,k;
memset(layer.sums, 0, layer.h*layer.w*sizeof(float));
int imsize = layer.h*layer.w;
for(j = 0; j < layer.size/2; ++j){
if(j < layer.c) add_square_array(in+j*imsize, layer.sums, imsize);
}
for(k = 0; k < layer.c; ++k){
int next = k+layer.size/2;
int prev = k-layer.size/2-1;
if(next < layer.c) add_square_array(in+next*imsize, layer.sums, imsize);
if(prev > 0) sub_square_array(in+prev*imsize, layer.sums, imsize);
for(i = 0; i < imsize; ++i){
layer.output[k*imsize + i] = in[k*imsize+i] / pow(layer.kappa + layer.alpha * layer.sums[i], layer.beta);
}
}
}
void backward_normalization_layer(const normalization_layer layer, float *in, float *delta)
{
//TODO!
}
void visualize_normalization_layer(normalization_layer layer, char *window)
{
image delta = get_normalization_image(layer);
image dc = collapse_image_layers(delta, 1);
char buff[256];
sprintf(buff, "%s: Output", window);
show_image(dc, buff);
save_image(dc, buff);
free_image(dc);
}