相机型号:BASLER acA 1920-40gc
软件:pylon5,Qt,
用开发者模式安装pylon后,找到 Basler\pylon 5\Development\Samples\C++ 文件夹,我选择的是默认安装,所以路径是C:\Program Files\Basler\pylon5\Development\Samples\C++打开工程因为我的相机是GigE接口,所以我打开PylonSamples_GigE.sln编译就可以运行啦
http://blog.csdn.net/u013351270/article/details/54290452
里边自带很多示例工程,工程的名字及作用如下:
参考:http://blog.csdn.net/liyuanbhu/article/details/74613768
参考:http://www.cnblogs.com/star91/p/6747946.html
在.pro文件中添加如下代码,注意前提是OpenCV的库也要配好,如果没有配,参考之前的文章配置http://blog.csdn.net/zong596568821xp/article/details/78819275:
OpenCV环境:
INCLUDEPATH += C:\opencv\opencv\build\include \
C:\opencv\opencv\build\include\opencv \
C:\opencv\opencv\build\include\opencv2 \
win32:CONFIG(release, debug|release): LIBS += -L$$PWD/../../../../opencv/opencv/build/x64/vc14/lib/ -lopencv_world320
else:win32:CONFIG(debug, debug|release): LIBS += -L$$PWD/../../../../opencv/opencv/build/x64/vc14/lib/ -lopencv_world320d
else:unix: LIBS += -L$$PWD/../../../../opencv/opencv/build/x64/vc14/lib/ -lopencv_world320
INCLUDEPATH += $$PWD/../../../../opencv/opencv/build/x64/vc14
DEPENDPATH += $$PWD/../../../../opencv/opencv/build/x64/vc14
Pylon环境:
INCLUDEPATH += \
$$(PYLON_DEV_DIR)/include \
$$(PYLON_DEV_DIR)/include/pylon
LIBS += \
-L$$(PYLON_DEV_DIR)/lib/x64
注意如果电脑是64位系统,要添加x64的LIBS,如果电脑是32位,则添加Win32的LIBS
使用Pylon5 SDK搭配OpenCV采集图像程序流程如下:
在mainwindow.cpp中添加如下代码,该工程使用Basler acA1920-40gc GigE 相机测试成功。
#include "mainwindow.h"
#include "ui_mainwindow.h"
//定义是否保存图片 0-否 1-是
#define saveImages 1
//定义是否记录视频 0-否 1-是
#define recordVideo 1
// 加载OpenCV API
#include
#include
#include
//加载PYLON API.
#include
#include
#include
#ifdef PYLON_WIN_BUILD
#include
#endif
//命名空间.
using namespace Pylon;
using namespace cv;
using namespace std;
//定义抓取的图像数
static const uint32_t c_countOfImagesToGrab = 10;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
ui->setupUi(this);
// read an image
//cv::Mat image = cv::imread("d://1.jpg", 1);
// create image window named "My Image"
//cv::namedWindow("My Image");
// show the image on window
//cv::imshow("My Image", image);
//Pylon自动初始化和终止
Pylon::PylonAutoInitTerm autoInitTerm;
try
{
//创建相机对象(以最先识别的相机)
CInstantCamera camera(CTlFactory::GetInstance().CreateFirstDevice());
// 打印相机的名称
std::cout << "Using device " << camera.GetDeviceInfo().GetModelName() << endl;
//获取相机节点映射以获得相机参数
GenApi::INodeMap& nodemap = camera.GetNodeMap();
//打开相机
camera.Open();
//获取相机成像宽度和高度
GenApi::CIntegerPtr width = nodemap.GetNode("Width");
GenApi::CIntegerPtr height = nodemap.GetNode("Height");
//设置相机最大缓冲区,默认为10
camera.MaxNumBuffer = 5;
// 新建pylon ImageFormatConverter对象.
CImageFormatConverter formatConverter;
//确定输出像素格式
formatConverter.OutputPixelFormat = PixelType_BGR8packed;
// 创建一个Pylonlmage后续将用来创建OpenCV images
CPylonImage pylonImage;
//声明一个整形变量用来计数抓取的图像,以及创建文件名索引
int grabbedlmages = 0;
// 新建一个OpenCV video creator对象.
VideoWriter cvVideoCreator;
//新建一个OpenCV image对象.
Mat openCvImage;
// 视频文件名
std::string videoFileName = "openCvVideo.avi";
// 定义视频帧大小
cv::Size frameSize = Size((int)width->GetValue(), (int)height->GetValue());
//设置视频编码类型和帧率,有三种选择
// 帧率必须小于等于相机成像帧率
cvVideoCreator.open(videoFileName, CV_FOURCC('D', 'I', 'V','X'), 10, frameSize, true);
//cvVideoCreator.open(videoFileName, CV_F0URCC('M','P',,4','2’), 20, frameSize, true);
//cvVideoCreator.open(videoFileName, CV_FOURCC('M', '3', 'P', 'G'), 20, frameSize, true);
// 开始抓取c_countOfImagesToGrab images.
//相机默认设置连续抓取模式
camera.StartGrabbing(c_countOfImagesToGrab, GrabStrategy_LatestImageOnly);
//抓取结果数据指针
CGrabResultPtr ptrGrabResult;
// 当c_countOfImagesToGrab images获取恢复成功时,Camera.StopGrabbing()
//被RetrieveResult()方法自动调用停止抓取
while (camera.IsGrabbing())
{
// 等待接收和恢复图像,超时时间设置为5000 ms.
camera.RetrieveResult(5000, ptrGrabResult, TimeoutHandling_ThrowException);
//如果图像抓取成功
if (ptrGrabResult->GrabSucceeded())
{
// 获取图像数据
cout <<"SizeX: "<GetWidth()<GetHeight()<GetHeight(), ptrGrabResult->GetWidth(), CV_8UC3, (uint8_t *) pylonImage.GetBuffer());
//如果需要保存图片
if (saveImages)
{
std::ostringstream s;
// 按索引定义文件名存储图片
s << "image_" << grabbedlmages << ".jpg";
std::string imageName(s.str());
//保存OpenCV image.
imwrite(imageName, openCvImage);
grabbedlmages++;
}
//如果需要记录视频
if (recordVideo)
{
cvVideoCreator.write(openCvImage);
}
//新建OpenCV display window.
namedWindow("OpenCV Display Window", CV_WINDOW_NORMAL); // other options: CV_AUTOSIZE, CV_FREERATIO
//显示及时影像.
imshow("OpenCV Display Window", openCvImage);
// Define a timeout for customer's input in
// '0' means indefinite, i.e. the next image will be displayed after closing the window.
// '1' means live stream
waitKey(1);
}
}
}
catch (GenICam::GenericException &e)
{
// Error handling.
cerr << "An exception occurred." << endl
<< e.GetDescription() << endl;
}
return;
}
MainWindow::~MainWindow()
{
delete ui;
}
运行成功后,显示如下界面(不知为什么,我的相机读出来是黑的——后来发现是镜头的问题,换了镜头就好了)