metrics.c
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/********************************************************************
* *
* THIS FILE IS PART OF THE OggVorbis SOFTWARE CODEC SOURCE CODE. *
* USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS *
* GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE *
* IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. *
* *
* THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2001 *
* by the Xiph.Org Foundation http://www.xiph.org/ *
* *
********************************************************************
function: function calls to collect codebook metrics
********************************************************************/
#include <stdlib.h>
#include <unistd.h>
#include <math.h>
#include "bookutil.h"
/* collect the following metrics:
mean and mean squared amplitude
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mean and mean squared error
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mean and mean squared error (per sample) by entry
worst case fit by entry
entry cell size
hits by entry
total bits
total samples
(average bits per sample)*/
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/* set up metrics */
float meanamplitude_acc=0.f;
float meanamplitudesq_acc=0.f;
float meanerror_acc=0.f;
float meanerrorsq_acc=0.f;
float **histogram=NULL;
float **histogram_error=NULL;
float **histogram_errorsq=NULL;
float **histogram_hi=NULL;
float **histogram_lo=NULL;
float bits=0.f;
float count=0.f;
static float *_now(codebook *c, int i){
return c->valuelist+i*c->c->dim;
}
int books=0;
void process_preprocess(codebook **bs,char *basename){
int i;
while(bs[books])books++;
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if(books){
histogram=_ogg_calloc(books,sizeof(float *));
histogram_error=_ogg_calloc(books,sizeof(float *));
histogram_errorsq=_ogg_calloc(books,sizeof(float *));
histogram_hi=_ogg_calloc(books,sizeof(float *));
histogram_lo=_ogg_calloc(books,sizeof(float *));
}else{
fprintf(stderr,"Specify at least one codebook\n");
exit(1);
}
for(i=0;i<books;i++){
codebook *b=bs[i];
histogram[i]=_ogg_calloc(b->entries,sizeof(float));
histogram_error[i]=_ogg_calloc(b->entries*b->dim,sizeof(float));
histogram_errorsq[i]=_ogg_calloc(b->entries*b->dim,sizeof(float));
histogram_hi[i]=_ogg_calloc(b->entries*b->dim,sizeof(float));
histogram_lo[i]=_ogg_calloc(b->entries*b->dim,sizeof(float));
}
}
static float _dist(int el,float *a, float *b){
int i;
float acc=0.f;
for(i=0;i<el;i++){
float val=(a[i]-b[i]);
acc+=val*val;
}
return acc;
}
void cell_spacing(codebook *c){
int j,k;
float min=-1.f,max=-1.f,mean=0.f,meansq=0.f;
long total=0;
/* minimum, maximum, mean, ms cell spacing */
for(j=0;j<c->c->entries;j++){
if(c->c->lengthlist[j]>0){
float localmin=-1.;
for(k=0;k<c->c->entries;k++){
if(c->c->lengthlist[k]>0){
float this=_dist(c->c->dim,_now(c,j),_now(c,k));
if(j!=k &&
(localmin==-1 || this<localmin))
localmin=this;
}
}
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if(min==-1 || localmin<min)min=localmin;
if(max==-1 || localmin>max)max=localmin;
mean+=sqrt(localmin);
meansq+=localmin;
total++;
}
}
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fprintf(stderr,"\tminimum cell spacing (closest side): %g\n",sqrt(min));
fprintf(stderr,"\tmaximum cell spacing (closest side): %g\n",sqrt(max));
fprintf(stderr,"\tmean closest side spacing: %g\n",mean/total);
fprintf(stderr,"\tmean sq closest side spacing: %g\n",sqrt(meansq/total));
}
void process_postprocess(codebook **bs,char *basename){
int i,k,book;
char *buffer=alloca(strlen(basename)+80);
fprintf(stderr,"Done. Processed %ld data points:\n\n",
(long)count);
fprintf(stderr,"Global statistics:******************\n\n");
fprintf(stderr,"\ttotal samples: %ld\n",(long)count);
fprintf(stderr,"\ttotal bits required to code: %ld\n",(long)bits);
fprintf(stderr,"\taverage bits per sample: %g\n\n",bits/count);
fprintf(stderr,"\tmean sample amplitude: %g\n",
meanamplitude_acc/count);
fprintf(stderr,"\tmean squared sample amplitude: %g\n\n",
sqrt(meanamplitudesq_acc/count));
fprintf(stderr,"\tmean code error: %g\n",
meanerror_acc/count);
fprintf(stderr,"\tmean squared code error: %g\n\n",
sqrt(meanerrorsq_acc/count));
for(book=0;book<books;book++){
FILE *out;
codebook *b=bs[book];
int n=b->c->entries;
int dim=b->c->dim;
fprintf(stderr,"Book %d statistics:------------------\n",book);
cell_spacing(b);
sprintf(buffer,"%s-%d-mse.m",basename,book);
out=fopen(buffer,"w");
if(!out){
fprintf(stderr,"Could not open file %s for writing\n",buffer);
exit(1);
}
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for(i=0;i<n;i++){
for(k=0;k<dim;k++){
fprintf(out,"%d, %g, %g\n",
i*dim+k,(b->valuelist+i*dim)[k],
sqrt((histogram_errorsq[book]+i*dim)[k]/histogram[book][i]));
}
}
fclose(out);
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sprintf(buffer,"%s-%d-me.m",basename,book);
out=fopen(buffer,"w");
if(!out){
fprintf(stderr,"Could not open file %s for writing\n",buffer);
exit(1);
}
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for(i=0;i<n;i++){
for(k=0;k<dim;k++){
fprintf(out,"%d, %g, %g\n",
i*dim+k,(b->valuelist+i*dim)[k],
(histogram_error[book]+i*dim)[k]/histogram[book][i]);
}
}
fclose(out);
sprintf(buffer,"%s-%d-worst.m",basename,book);
out=fopen(buffer,"w");
if(!out){
fprintf(stderr,"Could not open file %s for writing\n",buffer);
exit(1);
}
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for(i=0;i<n;i++){
for(k=0;k<dim;k++){
fprintf(out,"%d, %g, %g, %g\n",
i*dim+k,(b->valuelist+i*dim)[k],
(b->valuelist+i*dim)[k]+(histogram_lo[book]+i*dim)[k],
(b->valuelist+i*dim)[k]+(histogram_hi[book]+i*dim)[k]);
}
}
fclose(out);
}
}
float process_one(codebook *b,int book,float *a,int dim,int step,int addmul,
float base){
int j,entry;
float amplitude=0.f;
if(book==0){
float last=base;
for(j=0;j<dim;j++){
amplitude=a[j*step]-(b->c->q_sequencep?last:0);
meanamplitude_acc+=fabs(amplitude);
meanamplitudesq_acc+=amplitude*amplitude;
count++;
last=a[j*step];
}
}
if(b->c->q_sequencep){
float temp;
for(j=0;j<dim;j++){
temp=a[j*step];
a[j*step]-=base;
}
base=temp;
}
entry=vorbis_book_besterror(b,a,step,addmul);
if(entry==-1){
fprintf(stderr,"Internal error: _best returned -1.\n");
exit(1);
}
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histogram[book][entry]++;
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bits+=vorbis_book_codelen(b,entry);
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for(j=0;j<dim;j++){
float error=a[j*step];
if(book==books-1){
meanerror_acc+=fabs(error);
meanerrorsq_acc+=error*error;
}
histogram_errorsq[book][entry*dim+j]+=error*error;
histogram_error[book][entry*dim+j]+=fabs(error);
if(histogram[book][entry]==0 || histogram_hi[book][entry*dim+j]<error)
histogram_hi[book][entry*dim+j]=error;
if(histogram[book][entry]==0 || histogram_lo[book][entry*dim+j]>error)
histogram_lo[book][entry*dim+j]=error;
}
return base;
}
void process_vector(codebook **bs,int *addmul,int inter,float *a,int n){
int bi;
int i;
for(bi=0;bi<books;bi++){
codebook *b=bs[bi];
int dim=b->dim;
float base=0.f;
if(inter){
for(i=0;i<n/dim;i++)
base=process_one(b,bi,a+i,dim,n/dim,addmul[bi],base);
}else{
for(i=0;i<=n-dim;i+=dim)
base=process_one(b,bi,a+i,dim,1,addmul[bi],base);
}
}
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if((long)(count)%100)spinnit("working.... samples: ",count);
}
void process_usage(void){
fprintf(stderr,
"usage: vqmetrics [-i] +|*<codebook>.vqh [ +|*<codebook.vqh> ]... \n"
" datafile.vqd [datafile.vqd]...\n\n"
" data can be taken on stdin. -i indicates interleaved coding.\n"
" Output goes to output files:\n"
" basename-me.m: gnuplot: mean error by entry value\n"
" basename-mse.m: gnuplot: mean square error by entry value\n"
" basename-worst.m: gnuplot: worst error by entry value\n"
" basename-distance.m: gnuplot file showing distance probability\n"
"\n");
}