X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=pysvrt.git;a=blobdiff_plain;f=svrt.c;h=4969d5aac43f22750088c309850e97433217a8cc;hp=fdee66fd9cbfa5d516a4d2a9836213293dffc0f5;hb=HEAD;hpb=44bd6cf57f00009c7049dcd3e5600f12f2f41de5 diff --git a/svrt.c b/svrt.c index fdee66f..4969d5a 100644 --- a/svrt.c +++ b/svrt.c @@ -19,7 +19,7 @@ * General Public License for more details. * * You should have received a copy of the GNU General Public License - * along with selector. If not, see . + * along with svrt. If not, see . * */ @@ -27,14 +27,93 @@ #include "svrt_generator.h" -THByteTensor *generate_vignettes(long n_problem, long nb_vignettes) { +THByteStorage *compress(THByteStorage *x) { + long k, g, n; + + k = 0; n = 0; + while(k < x->size) { + g = 0; + while(k < x->size && x->data[k] == 255 && g < 255) { g++; k++; } + n++; + if(k < x->size && g < 255) { k++; } + } + + if(x->data[k-1] == 0) { + n++; + } + + THByteStorage *result = THByteStorage_newWithSize(n); + + k = 0; n = 0; + while(k < x->size) { + g = 0; + while(k < x->size && x->data[k] == 255 && g < 255) { g++; k++; } + result->data[n++] = g; + if(k < x->size && g < 255) { k++; } + } + if(x->data[k-1] == 0) { + result->data[n++] = 0; + } + + return result; +} + +THByteStorage *uncompress(THByteStorage *x) { + long k, g, n; + + k = 0; + for(n = 0; n < x->size - 1; n++) { + k = k + x->data[n]; + if(x->data[n] < 255) { k++; } + } + k = k + x->data[n]; + + THByteStorage *result = THByteStorage_newWithSize(k); + + k = 0; + for(n = 0; n < x->size - 1; n++) { + for(g = 0; g < x->data[n]; g++) { + result->data[k++] = 255; + } + if(x->data[n] < 255) { + result->data[k++] = 0; + } + } + for(g = 0; g < x->data[n]; g++) { + result->data[k++] = 255; + } + + return result; +} + +void seed(long s) { + srand48(s); +} + +THByteTensor *generate_vignettes(long n_problem, THLongTensor *labels) { struct VignetteSet vs; + long nb_vignettes; long st0, st1, st2; long v, i, j; + long *m, *l; unsigned char *a, *b; - svrt_generate_vignettes(n_problem, nb_vignettes, &vs); - printf("SANITY %d %d %d\n", vs.nb_vignettes, vs.width, vs.height); + if(THLongTensor_nDimension(labels) != 1) { + printf("Label tensor has to be of dimension 1.\n"); + exit(1); + } + + nb_vignettes = THLongTensor_size(labels, 0); + m = THLongTensor_storage(labels)->data + THLongTensor_storageOffset(labels); + st0 = THLongTensor_stride(labels, 0); + l = (long *) malloc(sizeof(long) * nb_vignettes); + for(v = 0; v < nb_vignettes; v++) { + l[v] = *m; + m += st0; + } + + svrt_generate_vignettes(n_problem, nb_vignettes, l, &vs); + free(l); THLongStorage *size = THLongStorage_newWithSize(3); size->data[0] = vs.nb_vignettes; @@ -61,5 +140,7 @@ THByteTensor *generate_vignettes(long n_problem, long nb_vignettes) { } } + free(vs.data); + return result; }