142 lines
4.4 KiB
C
142 lines
4.4 KiB
C
//========= Copyright Valve Corporation, All rights reserved. ============//
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//
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// Purpose:
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//
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// $NoKeywords: $
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//
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//=============================================================================//
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#ifndef QUANTIZE_H
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#define QUANTIZE_H
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#ifndef STRING_H
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#include <string.h>
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#endif
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#define MAXDIMS 768
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#define MAXQUANT 16000
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#include <tier0/platform.h>
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struct Sample;
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struct QuantizedValue {
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double MinError; // minimum possible error. used
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// for neighbor searches.
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struct QuantizedValue *Children[2]; // splits
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int32 value; // only exists for leaf nodes
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struct Sample *Samples; // every sample quantized into this
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// entry
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int32 NSamples; // how many were quantized to this.
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int32 TotSamples;
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double *ErrorMeasure; // variance measure for each dimension
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double TotalError; // sum of errors
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uint8 *Mean; // average value of each dimension
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uint8 *Mins; // min box for children and this
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uint8 *Maxs; // max box for children and this
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int NQuant; // the number of samples which were
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// quantzied to this node since the
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// last time OptimizeQuantizer()
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// was called.
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int *Sums; // sum used by OptimizeQuantizer
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int sortdim; // dimension currently sorted along.
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};
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struct Sample {
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int32 ID; // identifier of this sample. can
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// be used for any purpose.
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int32 Count; // number of samples this sample
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// represents
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int32 QNum; // what value this sample ended up quantized
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// to.
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struct QuantizedValue *qptr; // ptr to what this was quantized to.
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uint8 Value[1]; // array of values for multi-dimensional
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// variables.
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};
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void FreeQuantization(struct QuantizedValue *t);
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struct QuantizedValue *Quantize(struct Sample *s, int nsamples, int ndims,
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int nvalues, uint8 *weights, int value0=0);
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int CompressSamples(struct Sample *s, int nsamples, int ndims);
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struct QuantizedValue *FindMatch(uint8 const *sample,
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int ndims,uint8 *weights,
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struct QuantizedValue *QTable);
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void PrintSamples(struct Sample const *s, int nsamples, int ndims);
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struct QuantizedValue *FindQNode(struct QuantizedValue const *q, int32 code);
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inline struct Sample *NthSample(struct Sample *s, int i, int nd)
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{
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uint8 *r=(uint8 *) s;
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r+=i*(sizeof(*s)+(nd-1));
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return (struct Sample *) r;
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}
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inline struct Sample *AllocSamples(int ns, int nd)
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{
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size_t size5=(sizeof(struct Sample)+(nd-1))*ns;
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void *ret=new uint8[size5];
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memset(ret,0,size5);
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for(int i=0;i<ns;i++)
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NthSample((struct Sample *)ret,i,nd)->Count=1;
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return (struct Sample *) ret;
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}
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// MinimumError: what is the min error which will occur if quantizing
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// a sample to the given qnode? This is just the error if the qnode
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// is a leaf.
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double MinimumError(struct QuantizedValue const *q, uint8 const *sample,
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int ndims, uint8 const *weights);
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double MaximumError(struct QuantizedValue const *q, uint8 const *sample,
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int ndims, uint8 const *weights);
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void PrintQTree(struct QuantizedValue const *p,int idlevel=0);
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void OptimizeQuantizer(struct QuantizedValue *q, int ndims);
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// RecalculateVelues: update the means in a sample tree, based upon
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// the samples. can be used to reoptimize when samples are deleted,
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// for instance.
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void RecalculateValues(struct QuantizedValue *q, int ndims);
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extern double SquaredError; // may be reset and examined. updated by
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// FindMatch()
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// the routines below can be used for uniform quantization via dart-throwing.
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typedef void (*GENERATOR)(void *); // generate a random sample
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typedef double (*COMPARER)(void const *a, void const *b);
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void *DartThrow(int NResults, int NTries, size_t itemsize, GENERATOR gen,
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COMPARER cmp);
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void *FindClosestDart(void *items,int NResults, size_t itemsize,
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COMPARER cmp, void *lookfor, int *idx);
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// color quantization of 24 bit images
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#define QUANTFLAGS_NODITHER 1 // don't do Floyd-steinberg dither
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extern void ColorQuantize(
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uint8 const *pImage, // 4 byte pixels ARGB
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int nWidth,
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int nHeight,
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int nFlags, // QUANTFLAGS_xxx
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int nColors, // # of colors to fill in in palette
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uint8 *pOutPixels, // where to store resulting 8 bit pixels
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uint8 *pOutPalette, // where to store resulting 768-byte palette
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int nFirstColor); // first color to use in mapping
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#endif
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