int
unrrdu_resampleMain(int argc, char **argv, char *me, hestParm *hparm) {
hestOpt *opt = NULL;
char *out, *err;
Nrrd *nin, *nout;
int type, bb, pret, norenorm, older, E, defaultCenter, verbose;
unsigned int scaleLen, ai, samplesOut;
airArray *mop;
float *scale;
double padVal;
NrrdResampleInfo *info;
NrrdResampleContext *rsmc;
NrrdKernelSpec *unuk;
mop = airMopNew();
info = nrrdResampleInfoNew();
airMopAdd(mop, info, (airMopper)nrrdResampleInfoNix, airMopAlways);
hparm->elideSingleOtherDefault = AIR_FALSE;
hestOptAdd(&opt, "old", NULL, airTypeInt, 0, 0, &older, NULL,
"instead of using the new nrrdResampleContext implementation, "
"use the old nrrdSpatialResample implementation");
hestOptAdd(&opt, "s,size", "sz0", airTypeOther, 1, -1, &scale, NULL,
"For each axis, information about how many samples in output:\n "
"\b\bo \"=\": leave this axis completely untouched: no "
"resampling whatsoever\n "
"\b\bo \"x<float>\": multiply the number of input samples by "
"<float>, and round to the nearest integer, to get the number "
"of output samples. Use \"x1\" to resample the axis but leave "
"the number of samples unchanged\n "
"\b\bo \"<int>\": exact number of output samples",
&scaleLen, NULL, &unrrduHestScaleCB);
hestOptAdd(&opt, "k,kernel", "kern", airTypeOther, 1, 1, &unuk,
"cubic:0,0.5",
"The kernel to use for resampling. "
"Kernels logically live in the input index space for upsampling, "
"and in the output index space for downsampling. "
"Possibilities include:\n "
"\b\bo \"box\": nearest neighbor interpolation\n "
"\b\bo \"cheap\": nearest neighbor interpolation for upsampling, "
"and non-blurring sub-sampling (pick subset of input samples) "
"on downsampling\n "
"\b\bo \"tent\": linear interpolation\n "
"\b\bo \"cubic:B,C\": Mitchell/Netravali BC-family of "
"cubics:\n "
"\t\t\"cubic:1,0\": B-spline; maximal blurring\n "
"\t\t\"cubic:0,0.5\": Catmull-Rom; good interpolating kernel\n "
"\b\bo \"quartic:A\": 1-parameter family of "
"interpolating quartics (\"quartic:0.0834\" is most accurate)\n "
"\b\bo \"hann:R\": Hann (cosine bell) windowed sinc, radius R\n "
"\b\bo \"black:R\": Blackman windowed sinc, radius R\n "
"\b\bo \"gauss:S,C\": Gaussian blurring, with standard deviation "
"S and cut-off at C standard deviations",
NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&opt, "nrn", NULL, airTypeInt, 0, 0, &norenorm, NULL,
"don't do per-pass kernel weight renormalization. "
"Doing the renormalization is not a big performance hit, and "
"is sometimes needed to avoid \"grating\" on non-integral "
"down-sampling. Disabling the renormalization is needed for "
"correct results with artificially narrow kernels. ");
hestOptAdd(&opt, "b,boundary", "behavior", airTypeEnum, 1, 1, &bb, "bleed",
"How to handle samples beyond the input bounds:\n "
"\b\bo \"pad\": use some specified value\n "
"\b\bo \"bleed\": extend border values outward\n "
"\b\bo \"wrap\": wrap-around to other side",
NULL, nrrdBoundary);
hestOptAdd(&opt, "v,value", "value", airTypeDouble, 1, 1, &padVal, "0.0",
"for \"pad\" boundary behavior, pad with this value");
hestOptAdd(&opt, "t,type", "type", airTypeOther, 1, 1, &type, "default",
"type to save OUTPUT as. By default (not using this option), "
"the output type is the same as the input type",
NULL, NULL, &unrrduHestMaybeTypeCB);
hestOptAdd(&opt, "cheap", NULL, airTypeInt, 0, 0, &(info->cheap), NULL,
"DEPRECATED: the \"-k cheap\" option is the new (and more "
"reliable) way to access this functionality. \"-cheap\" is "
"only here for legacy use in combination with \"-old\".\n "
"When downsampling (reducing number of samples), don't "
"try to do correct filtering by scaling kernel to match "
"new (stretched) index space; keep it in old index space. "
"When used in conjunction with \"-k box\", this can implement "
"subsampling which chooses every Nth value. ");
hestOptAdd(&opt, "c,center", "center", airTypeEnum, 1, 1, &defaultCenter,
(nrrdCenterCell == nrrdDefaultCenter
? "cell"
: "node"),
"(not available with \"-old\") "
"default centering of axes when input nrrd "
"axes don't have a known centering: \"cell\" or \"node\" ",
NULL, nrrdCenter);
hestOptAdd(&opt, "verbose", NULL, airTypeInt, 0, 0, &verbose, NULL,
"(not available with \"-old\") "
"turn on verbosity ");
OPT_ADD_NIN(nin, "input nrrd");
OPT_ADD_NOUT(out, "output nrrd");
airMopAdd(mop, opt, (airMopper)hestOptFree, airMopAlways);
USAGE(_unrrdu_resampleInfoL);
PARSE();
airMopAdd(mop, opt, (airMopper)hestParseFree, airMopAlways);
nout = nrrdNew();
airMopAdd(mop, nout, (airMopper)nrrdNuke, airMopAlways);
if (scaleLen != nin->dim) {
fprintf(stderr, "%s: # sampling sizes (%d) != input nrrd dimension (%d)\n",
me, scaleLen, nin->dim);
airMopError(mop);
return 1;
}
if (!older) {
rsmc = nrrdResampleContextNew();
rsmc->verbose = verbose;
airMopAdd(mop, rsmc, (airMopper)nrrdResampleContextNix, airMopAlways);
E = AIR_FALSE;
if (!E) E |= nrrdResampleDefaultCenterSet(rsmc, defaultCenter);
if (!E) E |= nrrdResampleNrrdSet(rsmc, nin);
for (ai=0; ai<nin->dim; ai++) {
switch((int)scale[0 + 2*ai]) {
case 0:
/* no resampling */
if (!E) E |= nrrdResampleKernelSet(rsmc, ai, NULL, NULL);
break;
case 1:
/* scaling of input # samples */
if (!E) E |= nrrdResampleKernelSet(rsmc, ai, unuk->kernel, unuk->parm);
samplesOut = AIR_ROUNDUP(scale[1 + 2*ai]*nin->axis[ai].size);
if (!E) E |= nrrdResampleSamplesSet(rsmc, ai, samplesOut);
break;
case 2:
/* explicit # of samples */
if (!E) E |= nrrdResampleKernelSet(rsmc, ai, unuk->kernel, unuk->parm);
samplesOut = (size_t)scale[1 + 2*ai];
if (!E) E |= nrrdResampleSamplesSet(rsmc, ai, samplesOut);
break;
}
if (!E) E |= nrrdResampleRangeFullSet(rsmc, ai);
}
if (!E) E |= nrrdResampleBoundarySet(rsmc, bb);
if (!E) E |= nrrdResampleTypeOutSet(rsmc, type);
if (!E) E |= nrrdResamplePadValueSet(rsmc, padVal);
if (!E) E |= nrrdResampleRenormalizeSet(rsmc, !norenorm);
if (!E) E |= nrrdResampleExecute(rsmc, nout);
if (E) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error resampling nrrd:\n%s", me, err);
airMopError(mop);
return 1;
}
} else {
for (ai=0; ai<nin->dim; ai++) {
/* this may be over-written below */
info->kernel[ai] = unuk->kernel;
switch((int)scale[0 + 2*ai]) {
case 0:
/* no resampling */
info->kernel[ai] = NULL;
break;
case 1:
/* scaling of input # samples */
info->samples[ai] = AIR_ROUNDUP(scale[1 + 2*ai]*nin->axis[ai].size);
break;
case 2:
/* explicit # of samples */
info->samples[ai] = (size_t)scale[1 + 2*ai];
break;
}
memcpy(info->parm[ai], unuk->parm, NRRD_KERNEL_PARMS_NUM*sizeof(double));
if (info->kernel[ai] &&
(!( AIR_EXISTS(nin->axis[ai].min)
&& AIR_EXISTS(nin->axis[ai].max))) ) {
nrrdAxisInfoMinMaxSet(nin, ai,
(nin->axis[ai].center
? nin->axis[ai].center
: nrrdDefaultCenter));
}
info->min[ai] = nin->axis[ai].min;
info->max[ai] = nin->axis[ai].max;
}
info->boundary = bb;
info->type = type;
info->padValue = padVal;
info->renormalize = !norenorm;
if (nrrdSpatialResample(nout, nin, info)) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error resampling nrrd:\n%s", me, err);
airMopError(mop);
return 1;
}
}
SAVE(out, nout, NULL);
airMopOkay(mop);
return 0;
}
int
main(int argc, char *argv[]) {
char *me, *outS;
hestOpt *hopt;
hestParm *hparm;
airArray *mop;
char *err, done[13];
Nrrd *nin, *nblur, *nout;
NrrdKernelSpec *kb0, *kb1, *k00, *k11, *k22;
NrrdResampleContext *rsmc;
int E;
unsigned int sx, sy, sz, xi, yi, zi, ai;
gageContext *ctx;
gagePerVolume *pvl;
const double *gvec, *gmag, *evec0, *eval;
double (*ins)(void *v, size_t I, double d);
double (*lup)(const void *v, size_t I);
double dotmax, dotpow, gmmax, evalshift, gmpow, _dotmax, _gmmax, scl, clamp;
me = argv[0];
mop = airMopNew();
hparm = hestParmNew();
hopt = NULL;
airMopAdd(mop, hparm, (airMopper)hestParmFree, airMopAlways);
hestOptAdd(&hopt, "i", "nin", airTypeOther, 1, 1, &nin, NULL,
"input volume", NULL, NULL, nrrdHestNrrd);
hestOptAdd(&hopt, "kb0", "kernel", airTypeOther, 1, 1, &kb0,
"guass:3,5", "kernel to use for pre-process blurring",
NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&hopt, "kb1", "kernel", airTypeOther, 1, 1, &kb1,
"cubic:1.5,1,0", "kernel to use for pos-process blurring",
NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&hopt, "k00", "kernel", airTypeOther, 1, 1, &k00,
"cubic:1,0", "k00", NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&hopt, "k11", "kernel", airTypeOther, 1, 1, &k11,
"cubicd:1,0", "k00", NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&hopt, "k22", "kernel", airTypeOther, 1, 1, &k22,
"cubicdd:1,0", "k00", NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&hopt, "dotmax", "dot", airTypeDouble, 1, 1, &dotmax, "5",
"max effective value of dot(gvec, evec0)");
hestOptAdd(&hopt, "evs", "shift", airTypeDouble, 1, 1, &evalshift, "0",
"negative shift to avoid changing mostly flat regions");
hestOptAdd(&hopt, "clamp", "clamp", airTypeDouble, 1, 1, &clamp, "nan",
"if it exists, data value can't be forced below this");
hestOptAdd(&hopt, "dotpow", "pow", airTypeDouble, 1, 1, &dotpow, "1",
"exponent for dot");
hestOptAdd(&hopt, "gmmax", "dot", airTypeDouble, 1, 1, &gmmax, "2",
"max effective value of gmag");
hestOptAdd(&hopt, "gmpow", "pow", airTypeDouble, 1, 1, &gmpow, "1",
"exponent for gmag");
hestOptAdd(&hopt, "scl", "scale", airTypeDouble, 1, 1, &scl, "0.1",
"how much to scale hack to decrease input value");
hestOptAdd(&hopt, "o", "filename", airTypeString, 1, 1, &outS, "-",
"fixed volume output");
hestParseOrDie(hopt, argc-1, argv+1, hparm,
me, vhInfo, AIR_TRUE, AIR_TRUE, AIR_TRUE);
airMopAdd(mop, hopt, (airMopper)hestOptFree, airMopAlways);
airMopAdd(mop, hopt, (airMopper)hestParseFree, airMopAlways);
if (!( 3 == nin->dim
&& nrrdTypeBlock != nin->type )) {
fprintf(stderr, "%s: need a 3-D scalar nrrd (not %u-D %s)", me,
nin->dim, airEnumStr(nrrdType, nin->type));
airMopError(mop); return 1;
}
nblur = nrrdNew();
airMopAdd(mop, nblur, (airMopper)nrrdNuke, airMopAlways);
if (nrrdCopy(nblur, nin)) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: couldn't allocate output:\n%s", me, err);
airMopError(mop); return 1;
}
fprintf(stderr, "%s: pre-blurring ... ", me);
fflush(stderr);
rsmc = nrrdResampleContextNew();
airMopAdd(mop, rsmc, (airMopper)nrrdResampleContextNix, airMopAlways);
E = AIR_FALSE;
if (!E) E |= nrrdResampleDefaultCenterSet(rsmc, nrrdCenterCell);
if (!E) E |= nrrdResampleNrrdSet(rsmc, nin);
for (ai=0; ai<3; ai++) {
if (!E) E |= nrrdResampleKernelSet(rsmc, ai, kb0->kernel, kb0->parm);
if (!E) E |= nrrdResampleSamplesSet(rsmc, ai, nin->axis[ai].size);
if (!E) E |= nrrdResampleRangeFullSet(rsmc, ai);
}
if (!E) E |= nrrdResampleBoundarySet(rsmc, nrrdBoundaryBleed);
if (!E) E |= nrrdResampleTypeOutSet(rsmc, nrrdTypeDefault);
if (!E) E |= nrrdResampleRenormalizeSet(rsmc, AIR_TRUE);
if (!E) E |= nrrdResampleExecute(rsmc, nblur);
if (E) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error resampling nrrd:\n%s", me, err);
airMopError(mop);
return 1;
}
fprintf(stderr, "done.\n");
ctx = gageContextNew();
airMopAdd(mop, ctx, (airMopper)gageContextNix, airMopAlways);
gageParmSet(ctx, gageParmRenormalize, AIR_TRUE);
gageParmSet(ctx, gageParmCheckIntegrals, AIR_TRUE);
E = 0;
if (!E) E |= !(pvl = gagePerVolumeNew(ctx, nblur, gageKindScl));
if (!E) E |= gagePerVolumeAttach(ctx, pvl);
if (!E) E |= gageKernelSet(ctx, gageKernel00, k00->kernel, k00->parm);
if (!E) E |= gageKernelSet(ctx, gageKernel11, k11->kernel, k11->parm);
if (!E) E |= gageKernelSet(ctx, gageKernel22, k22->kernel, k22->parm);
if (!E) E |= gageQueryItemOn(ctx, pvl, gageSclGradVec);
if (!E) E |= gageQueryItemOn(ctx, pvl, gageSclGradMag);
if (!E) E |= gageQueryItemOn(ctx, pvl, gageSclHessEvec0);
if (!E) E |= gageQueryItemOn(ctx, pvl, gageSclHessEval);
if (!E) E |= gageUpdate(ctx);
if (E) {
airMopAdd(mop, err = biffGetDone(GAGE), airFree, airMopAlways);
fprintf(stderr, "%s: trouble:\n%s\n", me, err);
airMopError(mop); return 1;
}
gvec = gageAnswerPointer(ctx, pvl, gageSclGradVec);
gmag = gageAnswerPointer(ctx, pvl, gageSclGradMag);
evec0 = gageAnswerPointer(ctx, pvl, gageSclHessEvec0);
eval = gageAnswerPointer(ctx, pvl, gageSclHessEval);
nout = nrrdNew();
airMopAdd(mop, nout, (airMopper)nrrdNuke, airMopAlways);
if (nrrdCopy(nout, nin)) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: couldn't allocate output:\n%s", me, err);
airMopError(mop); return 1;
}
if (!(nout->type == nin->type && nblur->type == nin->type)) {
fprintf(stderr, "%s: whoa, types (%s %s %s) not all equal\n", me,
airEnumStr(nrrdType, nin->type),
airEnumStr(nrrdType, nblur->type),
airEnumStr(nrrdType, nout->type));
}
ins = nrrdDInsert[nout->type];
lup = nrrdDLookup[nout->type];
sx = nin->axis[0].size;
sy = nin->axis[1].size;
sz = nin->axis[2].size;
gageProbe(ctx, 0, 0, 0);
_dotmax = ELL_3V_DOT(gvec, evec0);
_gmmax = *gmag;
fprintf(stderr, "%s: hacking ", me);
fflush(stderr);
for (zi=0; zi<sz; zi++) {
fprintf(stderr, "%s", airDoneStr(0, zi, sz-1, done));
fflush(stderr);
for (yi=0; yi<sy; yi++) {
for (xi=0; xi<sx; xi++) {
size_t si;
double dot, evl, gm, shift, in, out, mode;
gageProbe(ctx, xi, yi, zi);
si = xi + sx*(yi + sy*zi);
dot = ELL_3V_DOT(gvec, evec0);
_dotmax = AIR_MAX(_dotmax, dot);
dot = AIR_ABS(dot);
dot = 1 - AIR_MIN(dot, dotmax)/dotmax;
dot = pow(dot, dotpow);
evl = AIR_MAX(0, eval[0] - evalshift);
mode = airMode3_d(eval);
evl *= AIR_AFFINE(-1, mode, 1, 0, 1);
_gmmax = AIR_MAX(_gmmax, *gmag);
gm = 1 - AIR_MIN(*gmag, gmmax)/gmmax;
gm = pow(gm, gmpow);
shift = scl*gm*evl*dot;
if (AIR_EXISTS(clamp)) {
in = lup(nin->data, si);
out = in - shift;
out = AIR_MAX(out, clamp);
shift = AIR_MAX(0, in - out);
}
ins(nout->data, si, shift);
}
}
}
fprintf(stderr, "\n");
fprintf(stderr, "%s: max dot seen: %g\n", me, _dotmax);
fprintf(stderr, "%s: max gm seen: %g\n", me, _gmmax);
fprintf(stderr, "%s: post-blurring ... ", me);
fflush(stderr);
E = AIR_FALSE;
if (!E) E |= nrrdResampleNrrdSet(rsmc, nout);
for (ai=0; ai<3; ai++) {
if (!E) E |= nrrdResampleKernelSet(rsmc, ai, kb1->kernel, kb1->parm);
if (!E) E |= nrrdResampleSamplesSet(rsmc, ai, nout->axis[ai].size);
if (!E) E |= nrrdResampleRangeFullSet(rsmc, ai);
}
if (!E) E |= nrrdResampleExecute(rsmc, nblur);
if (E) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error resampling nrrd:\n%s", me, err);
airMopError(mop);
return 1;
}
fprintf(stderr, "done.\n");
for (zi=0; zi<sz; zi++) {
for (yi=0; yi<sy; yi++) {
for (xi=0; xi<sx; xi++) {
size_t si;
double in, shift;
si = xi + sx*(yi + sy*zi);
in = lup(nin->data, si);
shift = lup(nblur->data, si);
ins(nout->data, si, in - shift);
}
}
}
if (nrrdSave(outS, nout, NULL)) {
airMopAdd(mop, err = biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: couldn't save output:\n%s", me, err);
airMopError(mop); return 1;
}
airMopOkay(mop);
exit(0);
}
/*
** little helper function to do pre-blurring of a given nrrd
** of the sort that might be useful for scale-space gage use
**
** nblur has to already be allocated for "blnum" Nrrd*s, AND, they all
** have to point to valid (possibly empty) Nrrds, so they can hold the
** results of blurring. "scale" is filled with the result of
** scaleCB(d_i), for "dom" evenly-spaced samples d_i between
** scldomMin and scldomMax
*/
int
gageStackBlur(Nrrd *const nblur[], const double *scale,
unsigned int blnum,
const Nrrd *nin, unsigned int baseDim,
const NrrdKernelSpec *_kspec,
int boundary, int renormalize, int verbose) {
char me[]="gageStackBlur", err[BIFF_STRLEN], val[AIR_STRLEN_LARGE],
keyscl[]="scale", keykern[]="kernel";
unsigned int blidx, axi;
NrrdResampleContext *rsmc;
NrrdKernelSpec *kspec;
airArray *mop;
int E;
if (!(nblur && scale && nin && _kspec)) {
sprintf(err, "%s: got NULL pointer", me);
biffAdd(GAGE, err);
return 1;
}
if (!( blnum >= 2)) {
sprintf(err, "%s: need blnum > 2, not %u", me, blnum);
biffAdd(GAGE, err);
return 1;
}
for (blidx=0; blidx<blnum; blidx++) {
if (!AIR_EXISTS(scale[blidx])) {
fprintf(stderr, "%s: scale[%u] = %g doesn't exist", me, blidx,
scale[blidx]);
biffAdd(GAGE, err);
return 1;
}
if (blidx) {
if (!( scale[blidx-1] < scale[blidx] )) {
fprintf(stderr, "%s: scale[%u] = %g not < scale[%u] = %g", me,
blidx, scale[blidx-1], blidx+1, scale[blidx]);
biffAdd(GAGE, err);
return 1;
}
}
}
if (3 + baseDim != nin->dim) {
sprintf(err, "%s: need nin->dim %u (not %u) with baseDim %u", me,
3 + baseDim, nin->dim, baseDim);
biffAdd(GAGE, err);
return 1;
}
if (airEnumValCheck(nrrdBoundary, boundary)) {
sprintf(err, "%s: %d not a valid %s value", me,
boundary, nrrdBoundary->name);
biffAdd(GAGE, err);
return 1;
}
mop = airMopNew();
kspec = nrrdKernelSpecCopy(_kspec);
if (!kspec) {
sprintf(err, "%s: problem copying kernel spec", me);
biffAdd(GAGE, err);
airMopError(mop);
return 1;
}
airMopAdd(mop, kspec, (airMopper)nrrdKernelSpecNix, airMopAlways);
/* pre-allocate output Nrrds in case not already there */
for (blidx=0; blidx<blnum; blidx++) {
if (!nblur[blidx]) {
sprintf(err, "%s: got NULL nblur[%u]", me, blidx);
biffAdd(GAGE, err);
airMopError(mop);
return 1;
}
}
rsmc = nrrdResampleContextNew();
airMopAdd(mop, rsmc, (airMopper)nrrdResampleContextNix, airMopAlways);
E = 0;
if (!E) E |= nrrdResampleDefaultCenterSet(rsmc, nrrdDefaultCenter);
if (!E) E |= nrrdResampleNrrdSet(rsmc, nin);
if (baseDim) {
unsigned int bai;
for (bai=0; bai<baseDim; bai++) {
if (!E) E |= nrrdResampleKernelSet(rsmc, bai, NULL, NULL);
}
}
for (axi=0; axi<3; axi++) {
if (!E) E |= nrrdResampleSamplesSet(rsmc, baseDim + axi,
nin->axis[baseDim + axi].size);
if (!E) E |= nrrdResampleRangeFullSet(rsmc, baseDim + axi);
}
if (!E) E |= nrrdResampleBoundarySet(rsmc, boundary);
if (!E) E |= nrrdResampleTypeOutSet(rsmc, nrrdTypeDefault);
if (!E) E |= nrrdResampleRenormalizeSet(rsmc, renormalize);
if (E) {
fprintf(stderr, "%s: trouble setting up resampling\n", me);
biffAdd(GAGE, err);
airMopError(mop);
return 1;
}
for (blidx=0; blidx<blnum; blidx++) {
kspec->parm[0] = scale[blidx];
for (axi=0; axi<3; axi++) {
if (!E) E |= nrrdResampleKernelSet(rsmc, baseDim + axi,
kspec->kernel, kspec->parm);
}
if (verbose) {
fprintf(stderr, "%s: resampling %u of %u (scale %g) ... ", me, blidx,
blnum, scale[blidx]);
fflush(stderr);
}
if (!E) E |= nrrdResampleExecute(rsmc, nblur[blidx]);
if (!E) nrrdKeyValueAdd(nblur[blidx], me, "true");
sprintf(val, "%g", scale[blidx]);
if (!E) nrrdKeyValueAdd(nblur[blidx], keyscl, val);
nrrdKernelSpecSprint(val, kspec);
if (!E) nrrdKeyValueAdd(nblur[blidx], keykern, val);
if (E) {
if (verbose) {
fprintf(stderr, "problem!\n");
}
sprintf(err, "%s: trouble resampling %u of %u (scale %g)",
me, blidx, blnum, scale[blidx]);
biffAdd(GAGE, err);
airMopError(mop);
return 1;
}
if (verbose) {
fprintf(stderr, "done.\n");
}
}
airMopOkay(mop);
return 0;
}
int
main(int argc, const char *argv[]) {
const char *me;
hestOpt *hopt;
hestParm *hparm;
airArray *mop;
char **ninStr, *err, *outS, doneStr[13];
Nrrd *nin0, *nin, *nrgb, *nout, *nhist[2], *npreout, *nhproj[3];
float *rgb;
float *out, *preout, *hist[2], maxSum,
upSample, overSampleScale;
unsigned int size0, sX, sY, sH, ninLen, ti, overSampleNum;
NrrdResampleContext *rsmc;
NrrdKernelSpec *ksp;
me = argv[0];
mop = airMopNew();
hopt = NULL;
hparm = hestParmNew();
airMopAdd(mop, hparm, (airMopper)hestParmFree, airMopAlways);
hparm->respFileEnable = AIR_TRUE;
hestOptAdd(&hopt, "i", "images", airTypeString, 1, -1, &ninStr, NULL,
"input image sequence", &ninLen, NULL, NULL);
hestOptAdd(&hopt, "sh", "histo size", airTypeUInt, 1, 1, &sH, "500",
"histogram size");
hestOptAdd(&hopt, "k", "kern", airTypeOther, 1, 1, &ksp,
"tent", "kernel for upsampling images",
NULL, NULL, nrrdHestKernelSpec);
hestOptAdd(&hopt, "us", "upsampling", airTypeFloat, 1, 1, &upSample,
"1", "amount of upsampling of image");
hestOptAdd(&hopt, "osn", "# oversmp", airTypeUInt, 1, 1, &overSampleNum,
"1", "number of sample per (upsampled) pixel");
hestOptAdd(&hopt, "osc", "scaling", airTypeFloat, 1, 1, &overSampleScale,
"1", "scaling with oversampling");
hestOptAdd(&hopt, "ms", "max sum", airTypeFloat, 1, 1, &maxSum,
"10", "per-hue histogram summation is non-linearly and "
"asymptotically clamped to this maximum");
hestOptAdd(&hopt, "o", "nout", airTypeString, 1, 1, &outS, "-",
"output filename", NULL);
hestParseOrDie(hopt, argc-1, argv+1, hparm,
me, mchistInfo, AIR_TRUE, AIR_TRUE, AIR_TRUE);
airMopAdd(mop, hopt, (airMopper)hestOptFree, airMopAlways);
airMopAdd(mop, hopt, (airMopper)hestParseFree, airMopAlways);
if (0 == overSampleNum) {
fprintf(stderr, "%s: overSampleNum must be > 0\n", me);
airMopError(mop);
return 1;
}
nin0 = nrrdNew();
airMopAdd(mop, nin0, (airMopper)nrrdNuke, airMopAlways);
if (nrrdLoad(nin0, ninStr[0], NULL)) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: couldn't load first image:\n%s", me, err);
airMopError(mop);
return 1;
}
if (!( (3 == nin0->axis[0].size || 4 == nin0->axis[0].size)
&& 3 == nin0->dim
&& nrrdTypeUChar == nin0->type )) {
fprintf(stderr, "%s: 1st image not 3D (3-or-4)-by-X-by-Y %s array "
"(got %u-D %s array)\n", me,
airEnumStr(nrrdType, nrrdTypeUChar),
nin0->dim,
airEnumStr(nrrdType, nin0->type));
airMopError(mop);
return 1;
}
rsmc = nrrdResampleContextNew();
airMopAdd(mop, rsmc, (airMopper)nrrdResampleContextNix, airMopAlways);
size0 = AIR_CAST(unsigned int, nin0->axis[0].size);
sX = AIR_CAST(unsigned int, upSample*nin0->axis[1].size);
sY = AIR_CAST(unsigned int, upSample*nin0->axis[2].size);
nrgb = nrrdNew();
airMopAdd(mop, nrgb, (airMopper)nrrdNuke, airMopAlways);
if (nrrdResampleDefaultCenterSet(rsmc, nrrdCenterCell)
|| nrrdResampleInputSet(rsmc, nin0)
|| nrrdResampleKernelSet(rsmc, 1, ksp->kernel, ksp->parm)
|| nrrdResampleKernelSet(rsmc, 2, ksp->kernel, ksp->parm)
|| nrrdResampleSamplesSet(rsmc, 1, sX)
|| nrrdResampleSamplesSet(rsmc, 2, sY)
|| nrrdResampleRangeFullSet(rsmc, 1)
|| nrrdResampleRangeFullSet(rsmc, 2)
|| nrrdResampleTypeOutSet(rsmc, nrrdTypeFloat)
|| nrrdResampleRenormalizeSet(rsmc, AIR_TRUE)
|| nrrdResampleExecute(rsmc, nrgb)) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error resampling slice:\n%s", me, err);
airMopError(mop);
return 1;
}
nhist[0] = nrrdNew();
airMopAdd(mop, nhist[0], (airMopper)nrrdNuke, airMopAlways);
nhist[1] = nrrdNew();
airMopAdd(mop, nhist[1], (airMopper)nrrdNuke, airMopAlways);
if (nrrdMaybeAlloc_va(nhist[0], nrrdTypeFloat, 2,
AIR_CAST(size_t, sH),
AIR_CAST(size_t, sH))
|| nrrdMaybeAlloc_va(nhist[1], nrrdTypeFloat, 2,
AIR_CAST(size_t, sH),
AIR_CAST(size_t, sH))) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error allocating histos:\n%s", me, err);
airMopError(mop);
return 1;
}
nhist[0]->axis[0].min = nhist[0]->axis[1].min = 0.0;
nhist[0]->axis[0].max = nhist[0]->axis[1].max = 1.0;
nhist[1]->axis[0].min = nhist[1]->axis[1].min = 0.0;
nhist[1]->axis[0].max = nhist[1]->axis[1].max = 1.0;
nhproj[0] = nrrdNew();
airMopAdd(mop, nhproj[0], (airMopper)nrrdNix, airMopAlways);
nhproj[1] = nrrdNew();
airMopAdd(mop, nhproj[1], (airMopper)nrrdNix, airMopAlways);
nhproj[2] = nrrdNew();
airMopAdd(mop, nhproj[2], (airMopper)nrrdNix, airMopAlways);
printf("working ... ");
hist[0] = AIR_CAST(float *, nhist[0]->data);
hist[1] = AIR_CAST(float *, nhist[1]->data);
nin = nrrdNew();
airMopAdd(mop, nin, (airMopper)nrrdNuke, airMopAlways);
npreout = nrrdNew();
airMopAdd(mop, npreout, (airMopper)nrrdNuke, airMopAlways);
if (nrrdMaybeAlloc_va(npreout, nrrdTypeFloat, 3,
AIR_CAST(size_t, 3),
AIR_CAST(size_t, sH),
AIR_CAST(size_t, ninLen))) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error allocating pre-output:\n%s", me, err);
airMopError(mop);
return 1;
}
preout = AIR_CAST(float *, npreout->data);
for (ti=0; ti<ninLen; ti++) {
printf("%s", airDoneStr(0, ti, ninLen, doneStr)); fflush(stdout);
if (nrrdLoad(nin, ninStr[ti], NULL)) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: couldn't load image[%u]:\n%s", me, ti, err);
airMopError(mop);
return 1;
}
if (!nrrdSameSize(nin0, nin, AIR_TRUE)) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: nin[%u] not like nin[0]:\n%s", me, ti, err);
airMopError(mop);
return 1;
}
if (nrrdResampleInputSet(rsmc, nin)
|| nrrdResampleExecute(rsmc, nrgb)) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: trouble resampling nin[%u]:\n%s", me, ti, err);
airMopError(mop);
return 1;
}
if (nrrdWrap_va(nhproj[0], preout + 0*sH, nrrdTypeFloat, 1, AIR_CAST(size_t, sH)) ||
nrrdWrap_va(nhproj[1], preout + 1*sH, nrrdTypeFloat, 1, AIR_CAST(size_t, sH)) ||
nrrdWrap_va(nhproj[2], preout + 2*sH, nrrdTypeFloat, 1, AIR_CAST(size_t, sH))) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: trouble wrapping output[%u]:\n%s", me, ti, err);
airMopError(mop);
return 1;
}
rgb = AIR_CAST(float *, nrgb->data);
imageProc(nhproj, nhist, sH,
rgb, size0, sX*sY,
overSampleNum, overSampleScale);
preout += 3*sH;
}
printf("%s\n", airDoneStr(0, ti, ninLen, doneStr)); fflush(stdout);
nout = nrrdNew();
airMopAdd(mop, nout, (airMopper)nrrdNuke, airMopAlways);
if (nrrdMaybeAlloc_va(nout, nrrdTypeFloat, 3,
AIR_CAST(size_t, 3),
AIR_CAST(size_t, sH),
AIR_CAST(size_t, ninLen))) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error allocating output:\n%s", me, err);
airMopError(mop);
return 1;
}
out = AIR_CAST(float *, nout->data);
preout = AIR_CAST(float *, npreout->data);
for (ti=0; ti<ninLen; ti++) {
unsigned int hi;
float hh, vv, ss, scl;
for (hi=0; hi<sH; hi++) {
hh = AIR_AFFINE(0, hi, sH, 0, 1);
if (!preout[hi + 2*sH]) {
ELL_3V_SET(out + 3*hi, 0, 0, 0);
} else {
ss = preout[hi + 2*sH];
scl = ss/(maxSum + ss);
vv = scl*preout[hi + 1*sH];
dyeHSVtoRGB(out + 0 + 3*hi, out + 1 + 3*hi, out + 2 + 3*hi,
hh, preout[hi + 0*sH], vv);
}
}
out += 3*sH;
preout += 3*sH;
}
if (nrrdSave(outS, nout, NULL)) {
airMopAdd(mop, err=biffGetDone(NRRD), airFree, airMopAlways);
fprintf(stderr, "%s: error saving output:\n%s", me, err);
airMopError(mop);
return 1;
}
airMopOkay(mop);
return 0;
}