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-rw-r--r--vorbis/vq/metrics.c294
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diff --git a/vorbis/vq/metrics.c b/vorbis/vq/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
+ mean and mean squared error
+ 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)*/
+
+
+/* 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++;
+
+ 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;
+ }
+ }
+
+ if(min==-1 || localmin<min)min=localmin;
+ if(max==-1 || localmin>max)max=localmin;
+ mean+=sqrt(localmin);
+ meansq+=localmin;
+ total++;
+ }
+ }
+
+ 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);
+ }
+
+ 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);
+
+ 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);
+ }
+
+ 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);
+ }
+
+ 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);
+ }
+
+ histogram[book][entry]++;
+ bits+=vorbis_book_codelen(b,entry);
+
+ 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);
+ }
+ }
+
+ 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");
+
+}
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