创建多线程加速处理这一段for循环vector<Edge1D_Result>edges;for (int i = 0; i < m; i++) { edges = Extract1DEdgeCircle.Get1DEdge(RoiMat, m_vpdEquinoxPoints[i], m_dMeasureLength, m_dMeasureHeight, m_vdMeasureAngle[i] , m_dSigma, m_nThresholdCircle, m_nTranslationCircle == 1 ? Translation::Poisitive : Translation::Negative, Selection::Strongest); for (int i = 0; i < edges.size(); i++) { m_vpdEdgePoints.push_back(edges[i].m_pdEdgePoint); m_vdEdgeGradient.push_back(edges[i].m_dGradient); } }保护变量edges
时间: 2023-12-10 17:40:36 浏览: 24
可以使用std::mutex来保护变量edges,确保多个线程不会同时访问它。以下是示例代码:
```c++
vector<Edge1D_Result> edges;
std::mutex edges_mutex;
void processEdges() {
// 处理edges之前先获取锁
edges_mutex.lock();
for (int i = 0; i < m; i++) {
vector<Edge1D_Result> temp_edges = Extract1DEdgeCircle.Get1DEdge(RoiMat, m_vpdEquinoxPoints[i], m_dMeasureLength, m_dMeasureHeight, m_vdMeasureAngle[i], m_dSigma, m_nThresholdCircle, m_nTranslationCircle == 1 ? Translation::Poisitive : Translation::Negative, Selection::Strongest);
// 释放锁,让其他线程可以访问edges
edges_mutex.unlock();
// 处理临时的edges
for (int i = 0; i < temp_edges.size(); i++) {
m_vpdEdgePoints.push_back(temp_edges[i].m_pdEdgePoint);
m_vdEdgeGradient.push_back(temp_edges[i].m_dGradient);
}
// 获取锁,再次访问edges
edges_mutex.lock();
// 将临时的edges合并到主线程的edges中
edges.insert(edges.end(), temp_edges.begin(), temp_edges.end());
}
// 释放锁
edges_mutex.unlock();
}
// 创建多线程
std::vector<std::thread> threads;
for (int i = 0; i < num_threads; i++) {
threads.push_back(std::thread(processEdges));
}
// 等待所有线程结束
for (auto& thread : threads) {
thread.join();
}
```
在这个示例中,我们使用了std::mutex来保护变量edges。在每个线程中,我们首先获取锁,并提取出一批1D边缘。然后,我们释放锁,让其他线程可以访问edges,同时在当前线程中处理临时的edges。最后,我们再次获取锁,将临时的edges合并到主线程的edges中。这样,我们就可以使用多线程加速处理for循环中的任务,并且确保变量edges的安全访问。