bool await(function<void()> cb = []{}) {
int my_gen = generation.load();
if (count.fetch_add(1) == N_THREADS - 1) {
if (cb) cb();
count.store(0);
generation.fetch_add(1);
return true;
} else {
do { } while (my_gen == generation.load());
return false;
}
}
void numberOfFaces(string filePath)
{
if (!instance.get()) {
CascadeClassifier* face_cascade = new CascadeClassifier();
face_cascade->load(face_cascade_name);
instance.reset(face_cascade);
}
Mat faceImage = imread(filePath, IMREAD_COLOR);
if (faceImage.empty()) // Check for invalid input
{
cout << "Could not open or find the image" << endl;
return;
}
Mat frame_gray;
std::vector<Rect> faces;
cvtColor(faceImage, frame_gray, CV_BGR2GRAY);
equalizeHist(frame_gray, frame_gray);
instance->detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
int numFaces = faces.size();
//cout << "Found " << numFaces << " faces in image: " << filePath << endl;
totalFaces.fetch_add(numFaces, boost::memory_order_seq_cst);
//cout << "Total: " << totalFaces << endl;
/*if (numFaces > 0)
{
drawFaceElipse(faceImage, faces);
}*/
}
void atomic2(uint64_t cnt){
for(uint64_t i=0; i<cnt; i++){
total2.fetch_add(1);
total2.fetch_sub(1);
//total2++;
}
}
handle &create(
const function<void()> &f){
auto id = _id.fetch_add(1);
auto t = make_unique<task>(id, f);
auto &slot = tasks[id];
slot = std::move(t);
return slot->handle;
}
// Aqui esta a barreira. Ela e uma barreira de propagacao.
static void barrier(int tid, int nthreads) {
trava.lock();
if (tid == nthreads-1) {
itnumber.fetch_add(1);
}
order.push_back(tid);
trava.unlock();
int sid;
for (int i = 1; i <= nrounds; ++i) {
++arrive[tid];
// Determina quem a thread vai esperar.
sid = (tid + power2to(i-1)) % nthreads;
while (arrive[sid] < arrive[tid]) {
this_thread::yield();
}
}
}
