/* * calibrate-detector.c * * Detector calibration * * (c) 2006-2010 Thomas White * * Part of CrystFEL - crystallography with a FEL * */ #ifdef HAVE_CONFIG_H #include #endif #define _GNU_SOURCE 1 #include #include #include #include #include #include #include #include #include "utils.h" #include "hdf5-file.h" #include "filters.h" #include "peaks.h" #define INTEGRATION_RADIUS (10) #define MAX_THREADS (96) typedef enum { SUM_THRESHOLD, SUM_PEAKS } SumMethod; struct process_args { char *filename; int id; int config_cmfilter; int config_noisefilter; double *sum; int w; int h; SumMethod sum_method; double threshold; /* Thread control */ pthread_mutex_t control_mutex; /* Protects the scary stuff below */ int start; int finish; int done; }; static void show_help(const char *s) { printf("Syntax: %s [options]\n\n", s); printf( "Calibrate detector geometry from FEL diffraction images.\n" "\n" " -h, --help Display this help message.\n" "\n" " -i, --input= Specify file containing list of images to process.\n" " '-' means stdin, which is the default.\n" " -o, --output= Output filename for summed image in HDF5 format.\n" " Default: summed.h5.\n" "\n" " -p, --intermediate=

Stem of filename for intermediate images.\n" " The filename stem

will be postfixed with a\n" " hyphen, the current number of patterns processed\n" " and '.h5'. Such a pattern will be saved after\n" " every 1000 input patterns.\n" " If this option is not specified, no intermediate\n" " patterns will be saved.\n" "\n" " -s, --sum= Use this method for summation. Choose from:\n" " peaks : sum 10px radius circles around peaks.\n" " threshold : sum thresholded images.\n" " -t, --threshold= Set the threshold if summing using the 'threshold'\n" " method.\n" "\n" " --filter-cm Perform common-mode noise subtraction on images\n" " before proceeding.\n" " --filter-noise Apply an aggressive noise filter which sets all\n" " pixels in each 3x3 region to zero if any of them\n" " have negative values.\n" "\n" " -j Run analyses in parallel. Default 1.\n" " -x, --prefix=

Prefix filenames from input file with 'p'.\n"); } static void sum_peaks(struct image *image, double *sum) { int x, y, i; int w = image->width; const int lim = INTEGRATION_RADIUS * INTEGRATION_RADIUS; search_peaks(image); for ( i=0; ifeatures); i++ ) { struct imagefeature *f = image_get_feature(image->features, i); int xp, yp; /* This is not an error. */ if ( f == NULL ) continue; xp = f->x; yp = f->y; for ( x=-INTEGRATION_RADIUS; x<+INTEGRATION_RADIUS; x++ ) { for ( y=-INTEGRATION_RADIUS; y<+INTEGRATION_RADIUS; y++ ) { /* Circular mask */ if ( x*x + y*y > lim ) continue; if ( ((x+xp)>=image->width) || ((x+xp)<0) ) continue; if ( ((y+yp)>=image->height) || ((y+yp)<0) ) continue; float val = image->data[(x+xp)+w*(y+yp)]; sum[(x+xp)+w*(y+yp)] += val; } } } } static void sum_threshold(struct image *image, double *sum, double threshold) { int x, y; for ( x=0; xwidth; x++ ) { for ( y=0; yheight; y++ ) { float val = image->data[x+image->width*y]; if ( val > threshold ) { sum[x+image->width*y] += val; } } } } static void process_image(struct process_args *pargs) { struct hdfile *hdfile; struct image image; image.features = NULL; image.data = NULL; image.flags = NULL; image.indexed_cell = NULL; image.id = pargs->id; image.filename = pargs->filename; image.hits = NULL; image.n_hits = 0; image.det = NULL; /* View head-on (unit cell is tilted) */ image.orientation.w = 1.0; image.orientation.x = 0.0; image.orientation.y = 0.0; image.orientation.z = 0.0; STATUS("Processing '%s'\n", pargs->filename); hdfile = hdfile_open(pargs->filename); if ( hdfile == NULL ) { return; } else if ( hdfile_set_first_image(hdfile, "/") ) { ERROR("Couldn't select path\n"); hdfile_close(hdfile); return; } hdf5_read(hdfile, &image, 1); if ( pargs->config_cmfilter ) { filter_cm(&image); } if ( pargs->config_noisefilter ) { filter_noise(&image, NULL); } if ( (pargs->w != image.width) || (pargs->h != image.height) ) { ERROR("Wrong image size.\n"); goto out; } switch ( pargs->sum_method ) { case SUM_THRESHOLD : sum_threshold(&image, pargs->sum, pargs->threshold); break; case SUM_PEAKS : sum_peaks(&image, pargs->sum); break; } out: free(image.data); image_feature_list_free(image.features); if ( image.flags != NULL ) free(image.flags); hdfile_close(hdfile); } static void *worker_thread(void *pargsv) { struct process_args *pargs = pargsv; int finish; do { int wakeup; process_image(pargs); pthread_mutex_lock(&pargs->control_mutex); pargs->done = 1; pargs->start = 0; pthread_mutex_unlock(&pargs->control_mutex); /* Go to sleep until told to exit or process next image */ do { pthread_mutex_lock(&pargs->control_mutex); /* Either of these can result in the thread waking up */ wakeup = pargs->start || pargs->finish; finish = pargs->finish; pthread_mutex_unlock(&pargs->control_mutex); usleep(20000); } while ( !wakeup ); } while ( !pargs->finish ); return NULL; } static void dump_to_file(struct process_args *worker_args[], int nthreads, int w, int h, int n, const char *stem) { int i; double *total; char outfile[256]; total = calloc(w*h, sizeof(double)); /* Add the individual sums to the 0th sum */ for ( i=0; isum[x+w*y]; total[x+w*y] += val; } } } snprintf(outfile, 255, "%s-%i.h5", stem, n); hdf5_write(outfile, total, w, h, H5T_NATIVE_DOUBLE); free(total); } int main(int argc, char *argv[]) { int c; char *filename = NULL; char *outfile = NULL; FILE *fh; char *rval = NULL; int n_images; int config_cmfilter = 0; int config_noisefilter = 0; char *prefix = NULL; char *sum_str = NULL; char *intermediate = NULL; double threshold = 400.0; SumMethod sum; int nthreads = 1; pthread_t workers[MAX_THREADS]; struct process_args *worker_args[MAX_THREADS]; int worker_active[MAX_THREADS]; int i; const int w = 1024; /* FIXME! */ const int h = 1024; /* FIXME! */ /* Long options */ const struct option longopts[] = { {"help", 0, NULL, 'h'}, {"input", 1, NULL, 'i'}, {"output", 1, NULL, 'o'}, {"filter-cm", 0, &config_cmfilter, 1}, {"filter-noise", 0, &config_noisefilter, 1}, {"prefix", 1, NULL, 'x'}, {"sum", 1, NULL, 's'}, {"intermediate", 1, NULL, 'p'}, {"threshold", 1, NULL, 't'}, {0, 0, NULL, 0} }; /* Short options */ while ((c = getopt_long(argc, argv, "hi:x:j:o:s:p:t:", longopts, NULL)) != -1) { switch (c) { case 'h' : show_help(argv[0]); return 0; case 'i' : filename = strdup(optarg); break; case 'o' : outfile = strdup(optarg); break; case 'x' : prefix = strdup(optarg); break; case 'j' : nthreads = atoi(optarg); break; case 's' : sum_str = strdup(optarg); break; case 'p' : intermediate = strdup(optarg); break; case 't' : threshold = atof(optarg); break; case 0 : break; default : return 1; } } if ( filename == NULL ) { filename = strdup("-"); } if ( strcmp(filename, "-") == 0 ) { fh = stdin; } else { fh = fopen(filename, "r"); } if ( fh == NULL ) { ERROR("Failed to open input file '%s'\n", filename); return 1; } free(filename); if ( sum_str == NULL ) { STATUS("You didn't specify a summation method, so I'm using" " the 'peaks' method, which gives the best results.\n"); sum = SUM_PEAKS; } else if ( strcmp(sum_str, "peaks") == 0 ) { sum = SUM_PEAKS; } else if ( strcmp(sum_str, "threshold") == 0) { sum = SUM_THRESHOLD; } else { ERROR("Unrecognised summation method '%s'\n", sum_str); return 1; } free(sum_str); if ( prefix == NULL ) { prefix = strdup(""); } if ( outfile == NULL ) { outfile = strdup("summed.h5"); } if ( (nthreads == 0) || (nthreads > MAX_THREADS) ) { ERROR("Invalid number of threads.\n"); return 1; } /* Initialise worker arguments */ for ( i=0; ifilename = malloc(1024); worker_args[i]->sum = calloc(w*h, sizeof(double)); worker_active[i] = 0; worker_args[i]->w = w; worker_args[i]->h = h; worker_args[i]->sum_method = sum; worker_args[i]->threshold = threshold; } n_images = 0; /* Start threads off */ for ( i=0; ifilename, 1023, "%s%s", prefix, line); n_images++; pthread_mutex_init(&pargs->control_mutex, NULL); pargs->config_cmfilter = config_cmfilter; pargs->config_noisefilter = config_noisefilter; pthread_mutex_lock(&pargs->control_mutex); pargs->done = 0; pargs->start = 1; pargs->finish = 0; pthread_mutex_unlock(&pargs->control_mutex); worker_active[i] = 1; r = pthread_create(&workers[i], NULL, worker_thread, pargs); if ( r != 0 ) { worker_active[i] = 0; ERROR("Couldn't start thread %i\n", i); } } /* Keep threads busy until the end of the data */ do { int i; for ( i=0; icontrol_mutex); done = pargs->done; pthread_mutex_unlock(&pargs->control_mutex); if ( !done ) continue; /* Get the next filename */ rval = fgets(line, 1023, fh); if ( rval == NULL ) break; chomp(line); snprintf(pargs->filename, 1023, "%s%s", prefix, line); n_images++; STATUS("Done %i images\n", n_images); /* Wake the thread up ... */ pthread_mutex_lock(&pargs->control_mutex); pargs->done = 0; pargs->start = 1; pthread_mutex_unlock(&pargs->control_mutex); if ( n_images % 1000 == 0 ) { if ( intermediate != NULL ) { dump_to_file(worker_args, nthreads, w, h, n_images, intermediate); } } } } while ( rval != NULL ); /* Join threads */ for ( i=0; icontrol_mutex); pargs->finish = 1; pthread_mutex_unlock(&pargs->control_mutex); /* Wait for it to join */ pthread_join(workers[i], NULL); free: if ( worker_args[i]->filename != NULL ) { free(worker_args[i]->filename); } } /* Add the individual sums to the 0th sum */ for ( i=1; isum[x+w*y]; worker_args[0]->sum[x+w*y] += val; } } free(worker_args[i]->sum); free(worker_args[i]); } hdf5_write(outfile, worker_args[0]->sum, w, h, H5T_NATIVE_DOUBLE); free(worker_args[0]->sum); free(worker_args[0]); free(prefix); free(outfile); if ( intermediate != NULL ) free(intermediate); fclose(fh); STATUS("There were %i images.\n", n_images); return 0; }