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