?? cxmathfuncs.cpp
字號:
return CV_BADSIZE_ERR;
buf[0].i.lo = buf[1].i.lo = buf[2].i.lo = buf[3].i.lo = 0;
for( ; i <= n - 4; i += 4 )
{
double x0 = x[i].f * exp_prescale;
double x1 = x[i + 1].f * exp_prescale;
double x2 = x[i + 2].f * exp_prescale;
double x3 = x[i + 3].f * exp_prescale;
int val0, val1, val2, val3, t;
if( ((x[i].i >> 23) & 255) > 127 + 10 )
x0 = x[i].i < 0 ? -exp_max_val : exp_max_val;
if( ((x[i+1].i >> 23) & 255) > 127 + 10 )
x1 = x[i+1].i < 0 ? -exp_max_val : exp_max_val;
if( ((x[i+2].i >> 23) & 255) > 127 + 10 )
x2 = x[i+2].i < 0 ? -exp_max_val : exp_max_val;
if( ((x[i+3].i >> 23) & 255) > 127 + 10 )
x3 = x[i+3].i < 0 ? -exp_max_val : exp_max_val;
val0 = cvRound(x0);
val1 = cvRound(x1);
val2 = cvRound(x2);
val3 = cvRound(x3);
x0 = (x0 - val0)*exp_postscale;
x1 = (x1 - val1)*exp_postscale;
x2 = (x2 - val2)*exp_postscale;
x3 = (x3 - val3)*exp_postscale;
t = (val0 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[0].i.hi = t << 20;
t = (val1 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[1].i.hi = t << 20;
t = (val2 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[2].i.hi = t << 20;
t = (val3 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[3].i.hi = t << 20;
x0 = buf[0].d * icvExpTab[val0 & EXPTAB_MASK] * EXPPOLY( x0 );
x1 = buf[1].d * icvExpTab[val1 & EXPTAB_MASK] * EXPPOLY( x1 );
y[i] = (float)x0;
y[i + 1] = (float)x1;
x2 = buf[2].d * icvExpTab[val2 & EXPTAB_MASK] * EXPPOLY( x2 );
x3 = buf[3].d * icvExpTab[val3 & EXPTAB_MASK] * EXPPOLY( x3 );
y[i + 2] = (float)x2;
y[i + 3] = (float)x3;
}
for( ; i < n; i++ )
{
double x0 = x[i].f * exp_prescale;
int val0, t;
if( ((x[i].i >> 23) & 255) > 127 + 10 )
x0 = x[i].i < 0 ? -exp_max_val : exp_max_val;
val0 = cvRound(x0);
t = (val0 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[0].i.hi = t << 20;
x0 = (x0 - val0)*exp_postscale;
y[i] = (float)(buf[0].d * icvExpTab[val0 & EXPTAB_MASK] * EXPPOLY(x0));
}
return CV_OK;
}
IPCVAPI_IMPL( CvStatus, icvExp_64f, ( const double *_x, double *y, int n ), (_x, y, n) )
{
static const double
A5 = .99999999999999999998285227504999 / EXPPOLY_32F_A0,
A4 = .69314718055994546743029643825322 / EXPPOLY_32F_A0,
A3 = .24022650695886477918181338054308 / EXPPOLY_32F_A0,
A2 = .55504108793649567998466049042729e-1 / EXPPOLY_32F_A0,
A1 = .96180973140732918010002372686186e-2 / EXPPOLY_32F_A0,
A0 = .13369713757180123244806654839424e-2 / EXPPOLY_32F_A0;
#undef EXPPOLY
#define EXPPOLY(x) (((((A0*(x) + A1)*(x) + A2)*(x) + A3)*(x) + A4)*(x) + A5)
int i = 0;
DBLINT buf[4];
const Cv64suf* x = (const Cv64suf*)_x;
if( !x || !y )
return CV_NULLPTR_ERR;
if( n <= 0 )
return CV_BADSIZE_ERR;
buf[0].i.lo = buf[1].i.lo = buf[2].i.lo = buf[3].i.lo = 0;
for( ; i <= n - 4; i += 4 )
{
double x0 = x[i].f * exp_prescale;
double x1 = x[i + 1].f * exp_prescale;
double x2 = x[i + 2].f * exp_prescale;
double x3 = x[i + 3].f * exp_prescale;
double y0, y1, y2, y3;
int val0, val1, val2, val3, t;
t = (int)(x[i].i >> 52);
if( (t & 2047) > 1023 + 10 )
x0 = t < 0 ? -exp_max_val : exp_max_val;
t = (int)(x[i+1].i >> 52);
if( (t & 2047) > 1023 + 10 )
x1 = t < 0 ? -exp_max_val : exp_max_val;
t = (int)(x[i+2].i >> 52);
if( (t & 2047) > 1023 + 10 )
x2 = t < 0 ? -exp_max_val : exp_max_val;
t = (int)(x[i+3].i >> 52);
if( (t & 2047) > 1023 + 10 )
x3 = t < 0 ? -exp_max_val : exp_max_val;
val0 = cvRound(x0);
val1 = cvRound(x1);
val2 = cvRound(x2);
val3 = cvRound(x3);
x0 = (x0 - val0)*exp_postscale;
x1 = (x1 - val1)*exp_postscale;
x2 = (x2 - val2)*exp_postscale;
x3 = (x3 - val3)*exp_postscale;
t = (val0 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[0].i.hi = t << 20;
t = (val1 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[1].i.hi = t << 20;
t = (val2 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[2].i.hi = t << 20;
t = (val3 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[3].i.hi = t << 20;
y0 = buf[0].d * icvExpTab[val0 & EXPTAB_MASK] * EXPPOLY( x0 );
y1 = buf[1].d * icvExpTab[val1 & EXPTAB_MASK] * EXPPOLY( x1 );
y[i] = y0;
y[i + 1] = y1;
y2 = buf[2].d * icvExpTab[val2 & EXPTAB_MASK] * EXPPOLY( x2 );
y3 = buf[3].d * icvExpTab[val3 & EXPTAB_MASK] * EXPPOLY( x3 );
y[i + 2] = y2;
y[i + 3] = y3;
}
for( ; i < n; i++ )
{
double x0 = x[i].f * exp_prescale;
int val0, t;
t = (int)(x[i].i >> 52);
if( (t & 2047) > 1023 + 10 )
x0 = t < 0 ? -exp_max_val : exp_max_val;
val0 = cvRound(x0);
t = (val0 >> EXPTAB_SCALE) + 1023;
t = (t | ((t < 2047) - 1)) & (((t < 0) - 1) & 2047);
buf[0].i.hi = t << 20;
x0 = (x0 - val0)*exp_postscale;
y[i] = buf[0].d * icvExpTab[val0 & EXPTAB_MASK] * EXPPOLY( x0 );
}
return CV_OK;
}
/****************************************************************************************\
* L O G *
\****************************************************************************************/
#define LOGTAB_SCALE 8
#define LOGTAB_MASK ((1 << LOGTAB_SCALE) - 1)
#define LOGTAB_MASK2 ((1 << (20 - LOGTAB_SCALE)) - 1)
#define LOGTAB_MASK2_32F ((1 << (23 - LOGTAB_SCALE)) - 1)
static const double icvLogTab[] = {
0.0000000000000000000000000000000000000000, 1.000000000000000000000000000000000000000,
.00389864041565732288852075271279318258166, .9961089494163424124513618677042801556420,
.00778214044205494809292034119607706088573, .9922480620155038759689922480620155038760,
.01165061721997527263705585198749759001657, .9884169884169884169884169884169884169884,
.01550418653596525274396267235488267033361, .9846153846153846153846153846153846153846,
.01934296284313093139406447562578250654042, .9808429118773946360153256704980842911877,
.02316705928153437593630670221500622574241, .9770992366412213740458015267175572519084,
.02697658769820207233514075539915211265906, .9733840304182509505703422053231939163498,
.03077165866675368732785500469617545604706, .9696969696969696969696969696969696969697,
.03455238150665972812758397481047722976656, .9660377358490566037735849056603773584906,
.03831886430213659461285757856785494368522, .9624060150375939849624060150375939849624,
.04207121392068705056921373852674150839447, .9588014981273408239700374531835205992509,
.04580953603129420126371940114040626212953, .9552238805970149253731343283582089552239,
.04953393512227662748292900118940451648088, .9516728624535315985130111524163568773234,
.05324451451881227759255210685296333394944, .9481481481481481481481481481481481481481,
.05694137640013842427411105973078520037234, .9446494464944649446494464944649446494465,
.06062462181643483993820353816772694699466, .9411764705882352941176470588235294117647,
.06429435070539725460836422143984236754475, .9377289377289377289377289377289377289377,
.06795066190850773679699159401934593915938, .9343065693430656934306569343065693430657,
.07159365318700880442825962290953611955044, .9309090909090909090909090909090909090909,
.07522342123758751775142172846244648098944, .9275362318840579710144927536231884057971,
.07884006170777602129362549021607264876369, .9241877256317689530685920577617328519856,
.08244366921107458556772229485432035289706, .9208633093525179856115107913669064748201,
.08603433734180314373940490213499288074675, .9175627240143369175627240143369175627240,
.08961215868968712416897659522874164395031, .9142857142857142857142857142857142857143,
.09317722485418328259854092721070628613231, .9110320284697508896797153024911032028470,
.09672962645855109897752299730200320482256, .9078014184397163120567375886524822695035,
.10026945316367513738597949668474029749630, .9045936395759717314487632508833922261484,
.10379679368164355934833764649738441221420, .9014084507042253521126760563380281690141,
.10731173578908805021914218968959175981580, .8982456140350877192982456140350877192982,
.11081436634029011301105782649756292812530, .8951048951048951048951048951048951048951,
.11430477128005862852422325204315711744130, .8919860627177700348432055749128919860627,
.11778303565638344185817487641543266363440, .8888888888888888888888888888888888888889,
.12124924363286967987640707633545389398930, .8858131487889273356401384083044982698962,
.12470347850095722663787967121606925502420, .8827586206896551724137931034482758620690,
.12814582269193003360996385708858724683530, .8797250859106529209621993127147766323024,
.13157635778871926146571524895989568904040, .8767123287671232876712328767123287671233,
.13499516453750481925766280255629681050780, .8737201365187713310580204778156996587031,
.13840232285911913123754857224412262439730, .8707482993197278911564625850340136054422,
.14179791186025733629172407290752744302150, .8677966101694915254237288135593220338983,
.14518200984449788903951628071808954700830, .8648648648648648648648648648648648648649,
.14855469432313711530824207329715136438610, .8619528619528619528619528619528619528620,
.15191604202584196858794030049466527998450, .8590604026845637583892617449664429530201,
.15526612891112392955683674244937719777230, .8561872909698996655518394648829431438127,
.15860503017663857283636730244325008243330, .8533333333333333333333333333333333333333,
.16193282026931324346641360989451641216880, .8504983388704318936877076411960132890365,
.16524957289530714521497145597095368430010, .8476821192052980132450331125827814569536,
.16855536102980664403538924034364754334090, .8448844884488448844884488448844884488449,
.17185025692665920060697715143760433420540, .8421052631578947368421052631578947368421,
.17513433212784912385018287750426679849630, .8393442622950819672131147540983606557377,
.17840765747281828179637841458315961062910, .8366013071895424836601307189542483660131,
.18167030310763465639212199675966985523700, .8338762214983713355048859934853420195440,
.18492233849401198964024217730184318497780, .8311688311688311688311688311688311688312,
.18816383241818296356839823602058459073300, .8284789644012944983818770226537216828479,
.19139485299962943898322009772527962923050, .8258064516129032258064516129032258064516,
.19461546769967164038916962454095482826240, .8231511254019292604501607717041800643087,
.19782574332991986754137769821682013571260, .8205128205128205128205128205128205128205,
.20102574606059073203390141770796617493040, .8178913738019169329073482428115015974441,
.20421554142869088876999228432396193966280, .8152866242038216560509554140127388535032,
.20739519434607056602715147164417430758480, .8126984126984126984126984126984126984127,
.21056476910734961416338251183333341032260, .8101265822784810126582278481012658227848,
.21372432939771812687723695489694364368910, .8075709779179810725552050473186119873817,
.21687393830061435506806333251006435602900, .8050314465408805031446540880503144654088,
.22001365830528207823135744547471404075630, .8025078369905956112852664576802507836991,
.22314355131420973710199007200571941211830, .8000000000000000000000000000000000000000,
.22626367865045338145790765338460914790630, .7975077881619937694704049844236760124611,
.22937410106484582006380890106811420992010, .7950310559006211180124223602484472049689,
.23247487874309405442296849741978803649550, .7925696594427244582043343653250773993808,
.23556607131276688371634975283086532726890, .7901234567901234567901234567901234567901,
.23864773785017498464178231643018079921600, .7876923076923076923076923076923076923077,
.24171993688714515924331749374687206000090, .7852760736196319018404907975460122699387,
.24478272641769091566565919038112042471760, .7828746177370030581039755351681957186544,
.24783616390458124145723672882013488560910, .7804878048780487804878048780487804878049,
.25088030628580937353433455427875742316250, .7781155015197568389057750759878419452888,
.25391520998096339667426946107298135757450, .7757575757575757575757575757575757575758,
.25694093089750041913887912414793390780680, .7734138972809667673716012084592145015106,
.25995752443692604627401010475296061486000, .7710843373493975903614457831325301204819,
.26296504550088134477547896494797896593800, .7687687687687687687687687687687687687688,
.26596354849713793599974565040611196309330, .7664670658682634730538922155688622754491,
.26895308734550393836570947314612567424780, .7641791044776119402985074626865671641791,
.27193371548364175804834985683555714786050, .7619047619047619047619047619047619047619,
.27490548587279922676529508862586226314300, .7596439169139465875370919881305637982196,
.27786845100345625159121709657483734190480, .7573964497041420118343195266272189349112,
.28082266290088775395616949026589281857030, .7551622418879056047197640117994100294985,
.28376817313064456316240580235898960381750, .7529411764705882352941176470588235294118,
.28670503280395426282112225635501090437180, .7507331378299120234604105571847507331378,
.28963329258304265634293983566749375313530, .7485380116959064327485380116959064327485,
.29255300268637740579436012922087684273730, .7463556851311953352769679300291545189504,
.29546421289383584252163927885703742504130, .7441860465116279069767441860465116279070,
.29836697255179722709783618483925238251680, .7420289855072463768115942028985507246377,
.30126133057816173455023545102449133992200, .7398843930635838150289017341040462427746,
.30414733546729666446850615102448500692850, .7377521613832853025936599423631123919308,
.30702503529491181888388950937951449304830, .7356321839080459770114942528735632183908,
.30989447772286465854207904158101882785550, .7335243553008595988538681948424068767908,
.31275571000389684739317885942000430077330, .7314285714285714285714285714285714285714,
.31560877898630329552176476681779604405180, .7293447293447293447293447293447293447293,
.31845373111853458869546784626436419785030, .7272727272727272727272727272727272727273,
.32129061245373424782201254856772720813750, .7252124645892351274787535410764872521246,
.32411946865421192853773391107097268104550, .7231638418079096045197740112994350282486,
.32694034499585328257253991068864706903700, .7211267605633802816901408450704225352113,
.32975328637246797969240219572384376078850, .7191011235955056179775280898876404494382,
.33255833730007655635318997155991382896900, .7170868347338935574229691876750700280112,
.33535554192113781191153520921943709254280, .7150837988826815642458100558659217877095,
.33814494400871636381467055798566434532400, .7130919220055710306406685236768802228412,
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