【发布时间】:2014-10-14 11:44:03
【问题描述】:
我试图在我的多线程程序中初始化一次 VideoCapture 捕获设备。一旦初始化,它应该在acquireImage线程中作为图像缓冲区服务,由网络摄像头填充。 以下代码在运行时显示“OpenCV 错误:在 cv::imshow 中断言失败 (func != 0)”-错误,这意味着 VideoCapture 捕获设备从未真正初始化,因此 imshow 没有必要的数据,但为什么呢?
代码是基于这个问题构建的:Correctly using mutex in OpenCL-OpenCV-Realtime-Threads? 基本上它使用两个线程,一个处理来自 USB 网络摄像头的图像,第二个将在这些图像上找到面孔......但目前什么都不做代码-简单。
#include <memory>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <vector>
#include <cmath>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "opencv2/ocl/ocl.hpp"
#include "opencv2/opencv.hpp"
#include <functional>
using namespace std;
using namespace cv;
typedef unsigned char uchar;
typedef unsigned int uint;
class FaceDetector
{
mutex imageLock, facesLock;
condition_variable imageAqcuired;
bool newImageAvailable;
Mat _img;
Mat _imgToWorkOn;
Mat _faceImages;
bool quit;
VideoCapture captureDevice;
int device_id;
FaceDetector (int _device_id);
void acquireImage()
{
while (!quit)
{
unique_lock<mutex> ulock(imageLock);
imageAqcuired.wait(ulock,[&](){return !newImageAvailable;}); //only take new image after current one was consumed
Mat captureFrame;
captureDevice>>captureFrame;
transpose(captureFrame,captureFrame);
flip(captureFrame,captureFrame,1);
_img = captureFrame.clone();
ulock.unlock();
newImageAvailable = true;
imageAqcuired.notify_one(); //notify that a new image is available
}
}
void processImage()
{
while (!quit)
{
unique_lock<mutex> ulock(imageLock);
imageAqcuired.wait(ulock,[&](){return newImageAvailable;}); //wait untill a new image is available
_imgToWorkOn = _img.clone();
ulock.unlock();
newImageAvailable = false;
imageAqcuired.notify_one(); //notify the current image can be replaced by a newer one
unique_lock<mutex> lockFace(facesLock);
//arbeit
lockFace.unlock();
}
}
public:
FaceDetector() : newImageAvailable(false) {}
void start() {
quit = false;
thread t1(&FaceDetector::acquireImage,this);
t1.detach();
thread t2(&FaceDetector::processImage,this);
t2.detach();
}
void stop() {
quit = true;
}
Mat getImage() {
if (quit)
return Mat();
lock_guard<mutex> lock(imageLock);
return _img;
}
Mat getProcessedImage() {
if (quit)
return Mat();
lock_guard<mutex> lock(facesLock);
return _faceImages;
}
};
FaceDetector::FaceDetector(int _device_id)
{
device_id = _device_id;
captureDevice.open(device_id);
captureDevice.set(CV_CAP_PROP_FRAME_WIDTH,620); //erst jetzt cam.set weil sonst system-pause nicht funzt
captureDevice.set(CV_CAP_PROP_FRAME_HEIGHT,480);
}
int main()
{
bool quit(false);
FaceDetector faceDet;
faceDet.start();
thread input([](bool &quitFlag) { getchar(); quitFlag = true; },ref(quit)); //stop on user press Enter
input.detach();
while (!quit) {
Mat img = faceDet.getImage();
Mat imgc = img.clone();
imshow("links", imgc);
/*
imgs = faceDet.getProcessedImage();
Mat imgsc = imgs.clone();
imshow("gsichter", imgsc);
*/
waitKey(30);
this_thread::sleep_for(chrono::milliseconds(33)); //no need to show more than 30 fps...
}
faceDet.stop();
return 0;
}
编辑:我试图包含您的答案,但仍然收到“imshow 中的 Opencv 断言错误”。
#include <memory>
#include <thread>
#include <mutex>
#include <condition_variable>
#include <vector>
#include <cmath>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "opencv2/ocl/ocl.hpp"
#include "opencv2/opencv.hpp"
#include <functional>
using namespace std;
using namespace cv;
typedef unsigned char uchar;
typedef unsigned int uint;
class FaceDetector
{
mutex imageLock, facesLock;
condition_variable imageAqcuired;
bool newImageAvailable;
Mat _img;
Mat _imgToWorkOn;
Mat _faceImages;
bool quit;
VideoCapture captureDevice;
int device_id;
void acquireImage()
{
while (!quit)
{
unique_lock<mutex> ulock(imageLock);
imageAqcuired.wait(ulock,[&](){return !newImageAvailable;}); //only take new image after current one was consumed
Mat captureFrame;
captureDevice>>captureFrame;
//transpose(captureFrame,captureFrame);
//flip(captureFrame,captureFrame,1);
_img = captureFrame.clone();
ulock.unlock();
newImageAvailable = true;
imageAqcuired.notify_one(); //notify that a new image is available
}
}
void processImage()
{
while (!quit)
{
unique_lock<mutex> ulock(imageLock);
imageAqcuired.wait(ulock,[&](){return newImageAvailable;}); //wait untill a new image is available
_imgToWorkOn = _img.clone();
ulock.unlock();
newImageAvailable = false;
imageAqcuired.notify_one(); //notify the current image can be replaced by a newer one
unique_lock<mutex> lockFace(facesLock);
//arbeit
lockFace.unlock();
}
}
public:
FaceDetector() : newImageAvailable(false) {}
void start() {
quit = false;
thread t1(&FaceDetector::acquireImage,this);
t1.detach();
thread t2(&FaceDetector::processImage,this);
t2.detach();
}
void stop() {
quit = true;
}
Mat getImage() {
if (quit)
return Mat();
lock_guard<mutex> lock(imageLock);
return _img;
}
Mat getProcessedImage() {
if (quit)
return Mat();
lock_guard<mutex> lock(facesLock);
return _faceImages;
}
FaceDetector::FaceDetector(int _device_id)
{
VideoCapture captureDevice;
device_id = _device_id;
captureDevice.open(device_id);
captureDevice.set(CV_CAP_PROP_FRAME_WIDTH,620); //erst jetzt cam.set weil sonst system-pause nicht funzt
captureDevice.set(CV_CAP_PROP_FRAME_HEIGHT,480);
}
};
int main()
{
bool quit(false);
FaceDetector faceDet(0);
faceDet.start();
thread input([](bool &quitFlag) { getchar(); quitFlag = true; },ref(quit)); //stop on user press Enter
input.detach();
while (!quit) {
Mat img = faceDet.getImage();
Mat imgc = img.clone();
imshow("links", imgc);
/*
imgs = faceDet.getProcessedImage();
Mat imgsc = imgs.clone();
imshow("gsichter", imgsc);
*/
waitKey(30);
this_thread::sleep_for(chrono::milliseconds(33)); //no need to show more than 30 fps...
}
faceDet.stop();
return 0;
}
我也尝试了以下代码,但仍然出现断言错误。
public:
FaceDetector(int device_id) : newImageAvailable(false) {}
....
void init() {
VideoCapture captureDevice;
captureDevice.open(device_id);
captureDevice.set(CV_CAP_PROP_FRAME_WIDTH,620); //erst jetzt cam.set weil sonst system-pause nicht funzt
captureDevice.set(CV_CAP_PROP_FRAME_HEIGHT,480);
}
int main()
{
FaceDetector faceDet(0);
faceDet.init();
faceDet.start();
}
【问题讨论】:
-
VideoCapture is 已经在它自己的线程中运行。你不会得到任何东西,围绕它缠绕另一个线程。如果您正在进行级联检测,那是一个候选者。
标签: c++ multithreading opencv video-capture