/* * This file is part of the loccorr project. * Copyright 2021 Edward V. Emelianov . * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ #include #include // signal #include #include // printf #include // exit, free #include // strdup #include #include // sleep #include #include "binmorph.h" #include "cmdlnopts.h" #include "draw.h" #include "inotify.h" #include "fits.h" #include "imagefile.h" #include "median.h" /** * We REDEFINE the default WEAK function of signal processing */ void signals(int sig){ if(sig){ signal(sig, SIG_IGN); DBG("Get signal %d, quit.\n", sig); } LOGERR("Exit with status %d", sig); if(GP && GP->pidfile) // remove unnesessary PID file unlink(GP->pidfile); exit(sig); } void iffound_default(pid_t pid){ ERRX("Another copy of this process found, pid=%d. Exit.", pid); } static InputType chk_inp(const char *name){ if(!name) ERRX("Point file or directory name to monitor"); InputType tp = chkinput(GP->inputname); if(T_WRONG == tp) return T_WRONG; green("\n%s is a ", name); switch(tp){ case T_DIRECTORY: printf("directory"); break; case T_JPEG: printf("jpeg"); break; case T_PNG: printf("png"); break; case T_GIF: printf("gif"); break; case T_FITS: printf("fits"); break; case T_BMP: printf("bmp"); break; case T_GZIP: printf("maybe fits.gz?"); break; default: printf("Unsupported type\n"); return T_WRONG; } printf("\n"); return tp; } static bool save_fits(Image *I, const char *name){ unlink(name); return FITS_write(name, I); } static void savebin(uint8_t *b, int W, int H, const char *name){ Image *I = bin2Im(b, W, H); if(I){ save_fits(I, name); Image_free(&I); } } //++npoints, b->area, Isum, wh, xc, yc, x2c, y2c typedef struct{ uint32_t area; // object area in pixels double Isum; // total object's intensity over background double WdivH; // width of object's box divided by height double xc; double yc;// centroid coordinates double xsigma; // STD by horizontal and vertical axes double ysigma; } object; // function for Qsort int compObjs(const void *a, const void *b){ const object *oa = (const object*)a; const object *ob = (const object*)b; double idiff = (oa->Isum - ob->Isum)/(oa->Isum + ob->Isum); if(fabs(idiff) > GP->intensthres) return (idiff > 0) ? -1:1; double r2a = oa->xc * oa->xc + oa->yc * oa->yc; double r2b = ob->xc * ob->xc + ob->yc * ob->yc; return (r2a < r2b) ? -1 : 1; } static void process_file(const char *name){ #ifdef EBUG double t0 = dtime(), tlast = t0; #define DELTA(p) do{double t = dtime(); DBG("---> %s @ %gms (delta: %gms)", p, (t-t0)*1e3, (t-tlast)*1e3); tlast = t;}while(0) #else #define DELTA(x) #endif // I - original image // M - median filtering // mean - local mean // std - local STD /**** read original image ****/ Image *I = Image_read(name); DELTA("Imread"); if(!I){ WARNX("Can't read"); return; } int W = I->width, H = I->height; I->dtype = FLOAT_IMG; save_fits(I, "fitsout.fits"); DELTA("Save original"); /* uint8_t *outp = NULL; if(GP->equalize) outp = equalize(I, 3, GP->throwpart); else outp = linear(I, 3); // draw test crosses Pattern *cross = Pattern_cross(301, 301); Img3 i3 = {.data = outp, .w = I->width, .h = I->height}; Pattern_draw3(&i3, cross, I->width-100, I->height-100, C_R); Pattern_draw3(&i3, cross, I->width/2, I->height/2, C_G); Pattern_draw3(&i3, cross, 100, 100, C_W); Pattern_free(&cross); DBG("Try to write %s", name); stbi_write_jpg("jpegout.jpg", I->width, I->height, 3, outp, 95); FREE(outp);*/ #ifdef GETMEDIAN /**** get median image ****/ Image *M = get_median(I, GP->medradius); if(M){ DELTA("Got median"); /*outp = linear(M, 3); stbi_write_jpg("median.jpg", I->width, I->height, 3, outp, 95); FREE(outp);*/ save_fits(M, "median.fits"); DELTA("Save median"); #endif /* Image *mean = NULL, *std = NULL; if(get_stat(I, GP->medradius, &mean, &std)){ DBG("Save std & mean"); save_fits(mean, "mean.fits"); save_fits(std, "std.fits"); int wh = I->width*I->height; Image *diff = Image_sim(I); OMP_FOR() for(int i = 0; i < wh; ++i){ Imtype pixval = fabs(I->data[i] - M->data[i]); //register Imtype mode = fabs(2.5*M->data[i] - 1.5*mean->data[i]); //register Imtype pixval = fabs(mode - I->data[i]); if(pixval > std->data[i]) diff->data[i] = 100.; } save_fits(diff, "val_med.fits"); Image_free(&diff); }else WARNX("Can't calculate statistics"); Image_free(&mean); Image_free(&std); */ Imtype bk; if(calc_background(I, &bk)){ DBG("backgr = %g", bk); DELTA("Got background"); //uint8_t *ibin = Im2bin(I, 1960.); uint8_t *ibin = Im2bin(I, bk); DELTA("Made binary"); if(ibin){ savebin(ibin, W, H, "binary.fits"); DELTA("save binary.fits"); ; uint8_t *er = erosionN(ibin, W, H, GP->nerosions); DELTA("Erosion"); savebin(er, W, H, "erosion.fits"); DELTA("Save erosion"); uint8_t *opn = dilationN(er, W, H, GP->ndilations); FREE(er); DELTA("Opening"); savebin(opn, W, H, "opening.fits"); DELTA("Save opening"); ConnComps *cc; size_t *S = cclabel4(opn, W, H, &cc); //double averW = 0., averH = 0.; //green("Found %zd objects\n", cc->Nobj-1); //printf("%6s\t%6s\t%6s\t%6s\t%6s\t%6s\t%6s\n", "N", "area", "w/h", "Xc", "Yc", "Xw", "Yw"); object *Objects = MALLOC(object, cc->Nobj-1); int objctr = 0; for(size_t i = 1; i < cc->Nobj; ++i){ Box *b = &cc->boxes[i]; //DBG("BOX %zd: area=%d, x:(%d-%d), y:(%d:%d)", i, b->area, b->xmin, b->xmax, b->ymin, b->ymax); double wh = ((double)b->xmax - b->xmin)/(b->ymax - b->ymin); if(wh < 0.77 || wh > 1.3) continue; if((int)b->area < GP->minarea) continue; double xc = 0., yc = 0.; double x2c = 0., y2c = 0., Isum = 0.; for(size_t y = b->ymin; y <= b->ymax; ++y){ size_t idx = y*W + b->xmin; size_t *maskptr = &S[idx]; Imtype *Iptr = &I->data[idx]; for(size_t x = b->xmin; x <= b->xmax; ++x, ++maskptr, ++Iptr){ //DBG("(%zd, %zd): %zd / %g", x, y, *maskptr, *Iptr); if(*maskptr != i) continue; double intens = (double) (*Iptr - bk); if(intens < 0.) continue; double xw = x * intens, yw = y * intens; xc += xw; yc += yw; x2c += xw * x; y2c += yw * y; Isum += intens; } } xc /= Isum; yc /= Isum; x2c = x2c/Isum - xc*xc; y2c = y2c/Isum - yc*yc; Objects[objctr++] = (object){ .area = b->area, .Isum = Isum, .WdivH = wh, .xc = xc, .yc = yc, .xsigma = sqrt(x2c), .ysigma = sqrt(y2c) }; ///object *o = &Objects[objctr-1]; ///printf("%6d\t%6d\t%14.1f\t%6.1f\t%6.1f\t%6.1f\t%6.1f\t%6.1f\n", i, o->area, 40.-2.5*log(o->Isum), o->WdivH, o->xc, o->yc, o->xsigma, o->ysigma); //averH += y2c; averW += x2c; } DELTA("Labeling"); printf("%zd %d\n", time(NULL), objctr); qsort(Objects, objctr, sizeof(object), compObjs); object *o = Objects; for(int i = 0; i < objctr; ++i, ++o){ // 1.0857 = 2.5/ln(10) printf("%6d\t%6d\t%6.1f\t%6.1f\t%6.1f\t%6.1f\t%6.1f\t%6.1f\n", i, o->area, 20.-1.0857*log(o->Isum), o->WdivH, o->xc, o->yc, o->xsigma, o->ysigma); } FREE(cc); FREE(Objects); Image *c = ST2Im(S, W, H); FREE(S); DELTA("conv size_t -> Ima"); save_fits(c, "size_t.fits"); Image_free(&c); DELTA("Save size_t"); #if 0 uint8_t *f4 = filter8(ibin, W, H); DELTA("calc f8"); savebin(f4, W, H, "f8.fits"); DELTA("save f8.fits"); uint8_t *e1 = erosion(ibin, W, H); DELTA("Get e"); savebin(e1, W, H, "er.fits"); DELTA("Save er.fits"); uint8_t *e2 = dilation(ibin, W, H); DELTA("Get di"); savebin(e2, W, H, "dil.fits"); DELTA("Save dil.fits"); FREE(e1); FREE(e2); #endif #if 0 e1 = openingN(ibin, W, H, 1); savebin(e1, W, H, "op.fits"); e2 = closingN(ibin, W, H, 1); savebin(e2, W, H, "cl.fits"); FREE(e1); FREE(e2); #endif FREE(ibin); FREE(opn); } } #ifdef GETMEDIAN Image_free(&M); } #endif DELTA("End"); Image_free(&I); } static int process_input(InputType tp, char *name){ if(tp == T_DIRECTORY) return watch_directory(name, process_file); return watch_file(name, process_file); } int main(int argc, char *argv[]){ initial_setup(); char *self = strdup(argv[0]); GP = parse_args(argc, argv); if(GP->throwpart < 0. || GP->throwpart > 0.99){ ERRX("Fraction of black pixels should be in [0., 0.99]"); } InputType tp = chk_inp(GP->inputname); if(tp == T_WRONG) ERRX("Enter correct image file or directory name"); check4running(self, GP->pidfile); DBG("%s started, snippets library version is %s\n", self, sl_libversion()); free(self); signal(SIGTERM, signals); // kill (-15) - quit signal(SIGHUP, SIG_IGN); // hup - ignore signal(SIGINT, signals); // ctrl+C - quit signal(SIGQUIT, signals); // ctrl+\ - quit signal(SIGTSTP, SIG_IGN); // ignore ctrl+Z if(GP->logfile){ sl_loglevel lvl = LOGLEVEL_ERR; // default log level - errors int v = GP->verb; while(v--){ // increase loglevel for each "-v" if(++lvl == LOGLEVEL_ANY) break; } OPENLOG(GP->logfile, lvl, 1); DBG("Opened log file @ level %d", lvl); } LOGMSG("Start application..."); int p = process_input(tp, GP->inputname); // never reached signals(p); // clean everything return p; }