diff src/libvorbis-1.3.3/vq/metrics.c @ 86:98c1576536ae

Bring in flac, ogg, vorbis

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/src/libvorbis-1.3.3/vq/metrics.c	Tue Mar 19 17:37:49 2013 +0000
@@ -0,0 +1,295 @@
+/********************************************************************
+ *                                                                  *
+ * 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
+ last mod: $Id: metrics.c 16037 2009-05-26 21:10:58Z xiphmont $
+
+ ********************************************************************/
+
+
+#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");
+
+}