我有一个主要功能从某个地方拍摄图像,它应该显示在一个新的线程中。这就是我正在做的事情:
int main(int argc, char** argv)
{
Mat frame = imread("img.jpg");
auto_ptr<SomeClass> thread1(new SomeClass(1, frame));
auto_ptr<SomeClass> thread2(new SomeClass(2, frame));
thread1->Start();
thread2->Start();
int result1 = reinterpret_cast<int>(thread1->Join());
int result2 = reinterpret_cast<int>(thread2->Join());
return 0;
}
我找到了许多源代码来实现一个简单的pthread包装类,哪些工作正常,只要我不尝试将“cv :: Mat frame”图像传递给派生线程(通过它的构造函数) )。
pthread包装类:
/* ********************* THREAD.H ********************* */
extern "C++" class __declspec(dllexport) Thread
{
public:
Thread();
virtual ~Thread(void);
void Start(void);
void* Join(void);
private:
virtual void* Run(void) = 0;
static void* StartThread(void* pVoid);
pthread_t threadID_;
pthread_attr_t threadAttribute_;
void* result_;
};
/* ********************* THREAD.CPP ********************* */
Thread::Thread() {}
Thread::~Thread() {}
void* Thread::StartThread(void* pVoid)
{
Thread* aThread = static_cast<Thread*>(pVoid);
aThread->result_ = aThread->Run();
return aThread->result_;
}
void Thread::Start()
{
pthread_attr_init(&threadAttribute_);
pthread_attr_setscope(&threadAttribute_, PTHREAD_SCOPE_SYSTEM);
pthread_create(&threadID_, &threadAttribute_, Thread::StartThread, (void*)this);
pthread_attr_destroy(&threadAttribute_);
}
void* Thread::Join()
{
pthread_join(threadID_, NULL);
return result_;
}
Thread的子类如下所示:
/* ********************* SOMECLASS.H ********************* */
extern "C++" class __declspec(dllexport) SomeClass : public Thread
{
public:
SomeClass(int id, cv::Mat& frame);
~SomeClass(void);
virtual void* Run();
private:
int id_;
cv::Mat frame_;
};
/* ********************* SOMECLASS.CPP ********************* */
SomeClass::SomeClass(int id, cv::Mat& frame) : id_(id)
{
frame_ = frame.clone();
}
SomeClass::~SomeClass(void) {}
void* SomeClass::Run()
{
cout << id_ << ", " << frame_.cols << ", " << frame_.rows << endl;
imshow("frame " + id_, frame_);
waitKey(1);
return reinterpret_cast<void*>(id_);
}
执行在imshow()行中断...有什么想法会导致这个问题,或者我该如何解决?
答案 0 :(得分:0)
问题已经解决了。如果有人遇到类似的麻烦,那么: 整个OpenCV项目需要通过英特尔TBB支持进行重建。 (它与OpenCV 2.3.1配合良好)