Results *FindHighestScoring_Threaded(Search *S, const int start, const int count, const int topk, unsigned char *bsig, unsigned char *bmask, int threadcount)
{
pthread_t searchthreads[threadcount];
struct searchthread_params params[threadcount];
for (int i = 0; i < threadcount; i++) {
params[i].S = S;
params[i].topk = topk;
params[i].bsig = bsig;
params[i].bmask = bmask;
params[i].start = (count / threadcount * i) + start;
params[i].count = count / threadcount;
if (i == (threadcount - 1)) {
// Add remaining to the last thread
params[i].count += count - (count / threadcount * threadcount);
}
pthread_create(searchthreads+i, NULL, FindHighestScoring_work, params+i);
}
Results *R = NULL;
Results *newR = NULL;
for (int i = 0; i < threadcount; i++) {
void *newR_void = newR;
pthread_join(searchthreads[i], &newR_void);
newR = newR_void;
if (R) {
MergeResults(R, newR);
} else {
R = newR;
}
}
return R;
}
Results *FindHighestScoring_Threaded_X(Search *S, const int start, const int count, const int topk, unsigned char *bsig, unsigned char *bmask, int threadcount)
{
pthread_t searchthreads[threadcount];
struct searchthread_params_x params[threadcount];
struct searchthread_params_x_shared *shared = malloc(sizeof(struct searchthread_params_x_shared));
shared->start = start;
shared->count = count;
shared->i = 0;
shared->n = atoi(Config("SEARCH-JOBS"));
for (int i = 0; i < threadcount; i++) {
params[i].S = S;
params[i].topk = topk;
params[i].bsig = bsig;
params[i].bmask = bmask;
params[i].shared = shared;
pthread_create(searchthreads+i, NULL, FindHighestScoring_work_x, params+i);
}
Results *R = NULL;
Results *newR = NULL;
for (int i = 0; i < threadcount; i++) {
void *newR_void = newR;
pthread_join(searchthreads[i], &newR_void);
newR = newR_void;
if (R) {
MergeResults(R, newR);
} else {
R = newR;
}
}
return R;
}
CMat& CmCurveEx::CalSecDer_(CMat &img3f, int kSize)
{
Mat img1f[3], der1f[3], ornt1f[3];
split(img3f, img1f);
for (int i = 0; i < 3; i++) {
CalSecDer(img1f[i], kSize);
_pDer1f.copyTo(der1f[i]);
_pOrnt1f.copyTo(ornt1f[i]);
}
MergeResults(der1f, ornt1f, _pDer1f, _pOrnt1f);
GaussianBlur(_pDer1f, _pDer1f, Size(3, 3), 0);
return _pDer1f;
}
