Mercurial > hg > sv-dependency-builds
comparison src/libvorbis-1.3.3/vq/metrics.c @ 86:98c1576536ae
Bring in flac, ogg, vorbis
author | Chris Cannam <cannam@all-day-breakfast.com> |
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date | Tue, 19 Mar 2013 17:37:49 +0000 |
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85:545efbb81310 | 86:98c1576536ae |
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1 /******************************************************************** | |
2 * * | |
3 * THIS FILE IS PART OF THE OggVorbis SOFTWARE CODEC SOURCE CODE. * | |
4 * USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS * | |
5 * GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE * | |
6 * IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. * | |
7 * * | |
8 * THE OggVorbis SOURCE CODE IS (C) COPYRIGHT 1994-2001 * | |
9 * by the Xiph.Org Foundation http://www.xiph.org/ * | |
10 * * | |
11 ******************************************************************** | |
12 | |
13 function: function calls to collect codebook metrics | |
14 last mod: $Id: metrics.c 16037 2009-05-26 21:10:58Z xiphmont $ | |
15 | |
16 ********************************************************************/ | |
17 | |
18 | |
19 #include <stdlib.h> | |
20 #include <unistd.h> | |
21 #include <math.h> | |
22 #include "bookutil.h" | |
23 | |
24 /* collect the following metrics: | |
25 | |
26 mean and mean squared amplitude | |
27 mean and mean squared error | |
28 mean and mean squared error (per sample) by entry | |
29 worst case fit by entry | |
30 entry cell size | |
31 hits by entry | |
32 total bits | |
33 total samples | |
34 (average bits per sample)*/ | |
35 | |
36 | |
37 /* set up metrics */ | |
38 | |
39 float meanamplitude_acc=0.f; | |
40 float meanamplitudesq_acc=0.f; | |
41 float meanerror_acc=0.f; | |
42 float meanerrorsq_acc=0.f; | |
43 | |
44 float **histogram=NULL; | |
45 float **histogram_error=NULL; | |
46 float **histogram_errorsq=NULL; | |
47 float **histogram_hi=NULL; | |
48 float **histogram_lo=NULL; | |
49 float bits=0.f; | |
50 float count=0.f; | |
51 | |
52 static float *_now(codebook *c, int i){ | |
53 return c->valuelist+i*c->c->dim; | |
54 } | |
55 | |
56 int books=0; | |
57 | |
58 void process_preprocess(codebook **bs,char *basename){ | |
59 int i; | |
60 while(bs[books])books++; | |
61 | |
62 if(books){ | |
63 histogram=_ogg_calloc(books,sizeof(float *)); | |
64 histogram_error=_ogg_calloc(books,sizeof(float *)); | |
65 histogram_errorsq=_ogg_calloc(books,sizeof(float *)); | |
66 histogram_hi=_ogg_calloc(books,sizeof(float *)); | |
67 histogram_lo=_ogg_calloc(books,sizeof(float *)); | |
68 }else{ | |
69 fprintf(stderr,"Specify at least one codebook\n"); | |
70 exit(1); | |
71 } | |
72 | |
73 for(i=0;i<books;i++){ | |
74 codebook *b=bs[i]; | |
75 histogram[i]=_ogg_calloc(b->entries,sizeof(float)); | |
76 histogram_error[i]=_ogg_calloc(b->entries*b->dim,sizeof(float)); | |
77 histogram_errorsq[i]=_ogg_calloc(b->entries*b->dim,sizeof(float)); | |
78 histogram_hi[i]=_ogg_calloc(b->entries*b->dim,sizeof(float)); | |
79 histogram_lo[i]=_ogg_calloc(b->entries*b->dim,sizeof(float)); | |
80 } | |
81 } | |
82 | |
83 static float _dist(int el,float *a, float *b){ | |
84 int i; | |
85 float acc=0.f; | |
86 for(i=0;i<el;i++){ | |
87 float val=(a[i]-b[i]); | |
88 acc+=val*val; | |
89 } | |
90 return acc; | |
91 } | |
92 | |
93 void cell_spacing(codebook *c){ | |
94 int j,k; | |
95 float min=-1.f,max=-1.f,mean=0.f,meansq=0.f; | |
96 long total=0; | |
97 | |
98 /* minimum, maximum, mean, ms cell spacing */ | |
99 for(j=0;j<c->c->entries;j++){ | |
100 if(c->c->lengthlist[j]>0){ | |
101 float localmin=-1.; | |
102 for(k=0;k<c->c->entries;k++){ | |
103 if(c->c->lengthlist[k]>0){ | |
104 float this=_dist(c->c->dim,_now(c,j),_now(c,k)); | |
105 if(j!=k && | |
106 (localmin==-1 || this<localmin)) | |
107 localmin=this; | |
108 } | |
109 } | |
110 | |
111 if(min==-1 || localmin<min)min=localmin; | |
112 if(max==-1 || localmin>max)max=localmin; | |
113 mean+=sqrt(localmin); | |
114 meansq+=localmin; | |
115 total++; | |
116 } | |
117 } | |
118 | |
119 fprintf(stderr,"\tminimum cell spacing (closest side): %g\n",sqrt(min)); | |
120 fprintf(stderr,"\tmaximum cell spacing (closest side): %g\n",sqrt(max)); | |
121 fprintf(stderr,"\tmean closest side spacing: %g\n",mean/total); | |
122 fprintf(stderr,"\tmean sq closest side spacing: %g\n",sqrt(meansq/total)); | |
123 } | |
124 | |
125 void process_postprocess(codebook **bs,char *basename){ | |
126 int i,k,book; | |
127 char *buffer=alloca(strlen(basename)+80); | |
128 | |
129 fprintf(stderr,"Done. Processed %ld data points:\n\n", | |
130 (long)count); | |
131 | |
132 fprintf(stderr,"Global statistics:******************\n\n"); | |
133 | |
134 fprintf(stderr,"\ttotal samples: %ld\n",(long)count); | |
135 fprintf(stderr,"\ttotal bits required to code: %ld\n",(long)bits); | |
136 fprintf(stderr,"\taverage bits per sample: %g\n\n",bits/count); | |
137 | |
138 fprintf(stderr,"\tmean sample amplitude: %g\n", | |
139 meanamplitude_acc/count); | |
140 fprintf(stderr,"\tmean squared sample amplitude: %g\n\n", | |
141 sqrt(meanamplitudesq_acc/count)); | |
142 | |
143 fprintf(stderr,"\tmean code error: %g\n", | |
144 meanerror_acc/count); | |
145 fprintf(stderr,"\tmean squared code error: %g\n\n", | |
146 sqrt(meanerrorsq_acc/count)); | |
147 | |
148 for(book=0;book<books;book++){ | |
149 FILE *out; | |
150 codebook *b=bs[book]; | |
151 int n=b->c->entries; | |
152 int dim=b->c->dim; | |
153 | |
154 fprintf(stderr,"Book %d statistics:------------------\n",book); | |
155 | |
156 cell_spacing(b); | |
157 | |
158 sprintf(buffer,"%s-%d-mse.m",basename,book); | |
159 out=fopen(buffer,"w"); | |
160 if(!out){ | |
161 fprintf(stderr,"Could not open file %s for writing\n",buffer); | |
162 exit(1); | |
163 } | |
164 | |
165 for(i=0;i<n;i++){ | |
166 for(k=0;k<dim;k++){ | |
167 fprintf(out,"%d, %g, %g\n", | |
168 i*dim+k,(b->valuelist+i*dim)[k], | |
169 sqrt((histogram_errorsq[book]+i*dim)[k]/histogram[book][i])); | |
170 } | |
171 } | |
172 fclose(out); | |
173 | |
174 sprintf(buffer,"%s-%d-me.m",basename,book); | |
175 out=fopen(buffer,"w"); | |
176 if(!out){ | |
177 fprintf(stderr,"Could not open file %s for writing\n",buffer); | |
178 exit(1); | |
179 } | |
180 | |
181 for(i=0;i<n;i++){ | |
182 for(k=0;k<dim;k++){ | |
183 fprintf(out,"%d, %g, %g\n", | |
184 i*dim+k,(b->valuelist+i*dim)[k], | |
185 (histogram_error[book]+i*dim)[k]/histogram[book][i]); | |
186 } | |
187 } | |
188 fclose(out); | |
189 | |
190 sprintf(buffer,"%s-%d-worst.m",basename,book); | |
191 out=fopen(buffer,"w"); | |
192 if(!out){ | |
193 fprintf(stderr,"Could not open file %s for writing\n",buffer); | |
194 exit(1); | |
195 } | |
196 | |
197 for(i=0;i<n;i++){ | |
198 for(k=0;k<dim;k++){ | |
199 fprintf(out,"%d, %g, %g, %g\n", | |
200 i*dim+k,(b->valuelist+i*dim)[k], | |
201 (b->valuelist+i*dim)[k]+(histogram_lo[book]+i*dim)[k], | |
202 (b->valuelist+i*dim)[k]+(histogram_hi[book]+i*dim)[k]); | |
203 } | |
204 } | |
205 fclose(out); | |
206 } | |
207 } | |
208 | |
209 float process_one(codebook *b,int book,float *a,int dim,int step,int addmul, | |
210 float base){ | |
211 int j,entry; | |
212 float amplitude=0.f; | |
213 | |
214 if(book==0){ | |
215 float last=base; | |
216 for(j=0;j<dim;j++){ | |
217 amplitude=a[j*step]-(b->c->q_sequencep?last:0); | |
218 meanamplitude_acc+=fabs(amplitude); | |
219 meanamplitudesq_acc+=amplitude*amplitude; | |
220 count++; | |
221 last=a[j*step]; | |
222 } | |
223 } | |
224 | |
225 if(b->c->q_sequencep){ | |
226 float temp; | |
227 for(j=0;j<dim;j++){ | |
228 temp=a[j*step]; | |
229 a[j*step]-=base; | |
230 } | |
231 base=temp; | |
232 } | |
233 | |
234 entry=vorbis_book_besterror(b,a,step,addmul); | |
235 | |
236 if(entry==-1){ | |
237 fprintf(stderr,"Internal error: _best returned -1.\n"); | |
238 exit(1); | |
239 } | |
240 | |
241 histogram[book][entry]++; | |
242 bits+=vorbis_book_codelen(b,entry); | |
243 | |
244 for(j=0;j<dim;j++){ | |
245 float error=a[j*step]; | |
246 | |
247 if(book==books-1){ | |
248 meanerror_acc+=fabs(error); | |
249 meanerrorsq_acc+=error*error; | |
250 } | |
251 histogram_errorsq[book][entry*dim+j]+=error*error; | |
252 histogram_error[book][entry*dim+j]+=fabs(error); | |
253 if(histogram[book][entry]==0 || histogram_hi[book][entry*dim+j]<error) | |
254 histogram_hi[book][entry*dim+j]=error; | |
255 if(histogram[book][entry]==0 || histogram_lo[book][entry*dim+j]>error) | |
256 histogram_lo[book][entry*dim+j]=error; | |
257 } | |
258 return base; | |
259 } | |
260 | |
261 | |
262 void process_vector(codebook **bs,int *addmul,int inter,float *a,int n){ | |
263 int bi; | |
264 int i; | |
265 | |
266 for(bi=0;bi<books;bi++){ | |
267 codebook *b=bs[bi]; | |
268 int dim=b->dim; | |
269 float base=0.f; | |
270 | |
271 if(inter){ | |
272 for(i=0;i<n/dim;i++) | |
273 base=process_one(b,bi,a+i,dim,n/dim,addmul[bi],base); | |
274 }else{ | |
275 for(i=0;i<=n-dim;i+=dim) | |
276 base=process_one(b,bi,a+i,dim,1,addmul[bi],base); | |
277 } | |
278 } | |
279 | |
280 if((long)(count)%100)spinnit("working.... samples: ",count); | |
281 } | |
282 | |
283 void process_usage(void){ | |
284 fprintf(stderr, | |
285 "usage: vqmetrics [-i] +|*<codebook>.vqh [ +|*<codebook.vqh> ]... \n" | |
286 " datafile.vqd [datafile.vqd]...\n\n" | |
287 " data can be taken on stdin. -i indicates interleaved coding.\n" | |
288 " Output goes to output files:\n" | |
289 " basename-me.m: gnuplot: mean error by entry value\n" | |
290 " basename-mse.m: gnuplot: mean square error by entry value\n" | |
291 " basename-worst.m: gnuplot: worst error by entry value\n" | |
292 " basename-distance.m: gnuplot file showing distance probability\n" | |
293 "\n"); | |
294 | |
295 } |