Java运行exe无法正常执行

时间:2013-08-22 05:14:24

标签: java c++ opencv exe

我正在运行一个openCV脚本,它有一堆滑块,相机窗口等,我试图用Java调用它,并带有以下脚本

try{

            Runtime rt = Runtime.getRuntime() ;
            Process p = rt.exec("C:\\Users\\Arhowk\\Documents\\Visual Studio 2012\\Projects\\ConsoleApplication1\\x64\\Debug\\ProcessingManager.exe") ;
            InputStream in = p.getInputStream() ;
            OutputStream out = p.getOutputStream ();
            InputStream err = p.getErrorStream() ;  
        }catch(Exception e){

        }
        (new Thread(){
            @Override
            public void run(){
                for(;;){
                    try {
                    sleep(100);
                    } catch (Exception e) {
                    }
                }
            }
        }).start();

和带有以下脚本的exec

//objectTrackingTutorial.cpp

//Written by  Kyle Hounslow 2013

//Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software")
//, to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, 
//and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

//The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

//THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
//FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 
//LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
//IN THE SOFTWARE.

#include <sstream>
#include <string>
#include <fstream>
#include <iostream>
#include <opencv\highgui.h>
#include <opencv\cv.h>
#include "Processing.h"
using namespace cv;
//initial min and max HSV filter values.
//these will be changed using trackbars71,256,155,214
int H_MIN = 71;
int H_MAX = 256;
int S_MIN = 155;
int S_MAX = 214;
int V_MIN = 0;
int V_MAX = 256;
//default capture width and height
const int FRAME_WIDTH = 640;
const int FRAME_HEIGHT = 480;
//max number of objects to be detected in frame
const int MAX_NUM_OBJECTS=50;
//minimum and maximum object area
const int MIN_OBJECT_AREA = 20*20;
const int MAX_OBJECT_AREA = FRAME_HEIGHT*FRAME_WIDTH/1.5;
//names that will appear at the top of each window
const string windowName = "Original Image";
const string windowName1 = "HSV Image";
const string windowName2 = "Thresholded Image";
const string windowName3 = "After Morphological Operations";
const string trackbarWindowName = "Trackbars";
void on_trackbar( int, void* )
{//This function gets called whenever a
    // trackbar position is changed





}
string intToString(int number){


    std::stringstream ss;
    ss << number;
    return ss.str();
}
void createTrackbars(){
    //create window for trackbars


    namedWindow(trackbarWindowName,0);
    //create memory to store trackbar name on window
    char TrackbarName[50];
    sprintf( TrackbarName, "H_MIN", H_MIN);
    sprintf( TrackbarName, "H_MAX", H_MAX);
    sprintf( TrackbarName, "S_MIN", S_MIN);
    sprintf( TrackbarName, "S_MAX", S_MAX);
    sprintf( TrackbarName, "V_MIN", V_MIN);
    sprintf( TrackbarName, "V_MAX", V_MAX);
    //create trackbars and insert them into window
    //3 parameters are: the address of the variable that is changing when the trackbar is moved(eg.H_LOW),
    //the max value the trackbar can move (eg. H_HIGH), 
    //and the function that is called whenever the trackbar is moved(eg. on_trackbar)
    //                                  ---->    ---->     ---->      
    createTrackbar( "H_MIN", trackbarWindowName, &H_MIN, H_MAX, on_trackbar );
    createTrackbar( "H_MAX", trackbarWindowName, &H_MAX, H_MAX, on_trackbar );
    createTrackbar( "S_MIN", trackbarWindowName, &S_MIN, S_MAX, on_trackbar );
    createTrackbar( "S_MAX", trackbarWindowName, &S_MAX, S_MAX, on_trackbar );
    createTrackbar( "V_MIN", trackbarWindowName, &V_MIN, V_MAX, on_trackbar );
    createTrackbar( "V_MAX", trackbarWindowName, &V_MAX, V_MAX, on_trackbar );


}
void create(int x, int y){
  std::ofstream myfile;
  myfile.open ("D:\\temp\\procio.txt");
  myfile << "x " << x << "\n";
  myfile << "y " << y;
  myfile.close();
}
void drawObject(int x, int y,Mat &frame){

    //use some of the openCV drawing functions to draw crosshairs
    //on your tracked image!

    //UPDATE:JUNE 18TH, 2013
    //added 'if' and 'else' statements to prevent
    //memory errors from writing off the screen (ie. (-25,-25) is not within the window!)

    circle(frame,Point(x,y),20,Scalar(0,255,0),2);
    if(y-25>0)
    line(frame,Point(x,y),Point(x,y-25),Scalar(0,255,0),2);
    else line(frame,Point(x,y),Point(x,0),Scalar(0,255,0),2);
    if(y+25<FRAME_HEIGHT)
    line(frame,Point(x,y),Point(x,y+25),Scalar(0,255,0),2);
    else line(frame,Point(x,y),Point(x,FRAME_HEIGHT),Scalar(0,255,0),2);
    if(x-25>0)
    line(frame,Point(x,y),Point(x-25,y),Scalar(0,255,0),2);
    else line(frame,Point(x,y),Point(0,y),Scalar(0,255,0),2);
    if(x+25<FRAME_WIDTH)
    line(frame,Point(x,y),Point(x+25,y),Scalar(0,255,0),2);
    else line(frame,Point(x,y),Point(FRAME_WIDTH,y),Scalar(0,255,0),2);

    putText(frame,intToString(x)+","+intToString(y),Point(x,y+30),1,1,Scalar(0,255,0),2);

}
void morphOps(Mat &thresh){

    //create structuring element that will be used to "dilate" and "erode" image.
    //the element chosen here is a 3px by 3px rectangle

    Mat erodeElement = getStructuringElement( MORPH_RECT,Size(3,3));
    //dilate with larger element so make sure object is nicely visible
    Mat dilateElement = getStructuringElement( MORPH_RECT,Size(8,8));

    erode(thresh,thresh,erodeElement);
    erode(thresh,thresh,erodeElement);


    dilate(thresh,thresh,dilateElement);
    dilate(thresh,thresh,dilateElement);



}
void trackFilteredObject(int &x, int &y, Mat threshold, Mat &cameraFeed){

    Mat temp;
    threshold.copyTo(temp);
    //these two vectors needed for output of findContours
    vector< vector<Point> > contours;
    vector<Vec4i> hierarchy;
    //find contours of filtered image using openCV findContours function
    findContours(temp,contours,hierarchy,CV_RETR_CCOMP,CV_CHAIN_APPROX_SIMPLE );
    //use moments method to find our filtered object
    double refArea = 0;
    bool objectFound = false;
    if (hierarchy.size() > 0) {
        int numObjects = hierarchy.size();
        //if number of objects greater than MAX_NUM_OBJECTS we have a noisy filter
        if(numObjects<MAX_NUM_OBJECTS){
            for (int index = 0; index >= 0; index = hierarchy[index][0]) {

                Moments moment = moments((cv::Mat)contours[index]);
                double area = moment.m00;

                //if the area is less than 20 px by 20px then it is probably just noise
                //if the area is the same as the 3/2 of the image size, probably just a bad filter
                //we only want the object with the largest area so we safe a reference area each
                //iteration and compare it to the area in the next iteration.
                if(area>MIN_OBJECT_AREA && area<MAX_OBJECT_AREA && area>refArea){
                    x = moment.m10/area;
                    y = moment.m01/area;
                    objectFound = true;
                    refArea = area;

                }else objectFound = false;


            }
            //let user know you found an object
            if(objectFound ==true){
                create(x,y);
                putText(cameraFeed,"Tracking Object",Point(0,50),2,1,Scalar(0,255,0),2);
                //draw object location on screen
                drawObject(x,y,cameraFeed);}

        }else putText(cameraFeed,"TOO MUCH NOISE! ADJUST FILTER",Point(0,50),1,2,Scalar(0,0,255),2);
    }
}
void startProcessing()
{
    //some boolean variables for different functionality within this
    //program
    bool trackObjects = true;
    bool useMorphOps = true;
    //Matrix to store each frame of the webcam feed
    Mat cameraFeed;
    //matrix storage for HSV image
    Mat HSV;
    //matrix storage for binary threshold image
    Mat threshold;
    //x and y values for the location of the object
    int x=0, y=0;
    //create slider bars for HSV filtering
    createTrackbars();
    //video capture object to acquire webcam feed
    VideoCapture capture;
    //open capture object at location zero (default location for webcam)
    capture.open(0);
    //set height and width of capture frame
    capture.set(CV_CAP_PROP_FRAME_WIDTH,FRAME_WIDTH);
    capture.set(CV_CAP_PROP_FRAME_HEIGHT,FRAME_HEIGHT);
    //start an infinite loop where webcam feed is copied to cameraFeed matrix
    //all of our operations will be performed within this loop
    while(1){
        //store image to matrix
        capture.read(cameraFeed);
        //convert frame from BGR to HSV colorspace
        cvtColor(cameraFeed,HSV,COLOR_BGR2HSV);
        //filter HSV image between values and store filtered image to
        //threshold matrix
        inRange(HSV,Scalar(H_MIN,S_MIN,V_MIN),Scalar(H_MAX,S_MAX,V_MAX),threshold);
        //perform morphological operations on thresholded image to eliminate noise
        //and emphasize the filtered object(s)
        if(useMorphOps)
        morphOps(threshold);
        //pass in thresholded frame to our object tracking function
        //this function will return the x and y coordinates of the
        //filtered object
        if(trackObjects)
            trackFilteredObject(x,y,threshold,cameraFeed);

        //show frames 
        imshow(windowName2,threshold);
        imshow(windowName,cameraFeed);
        imshow(windowName1,HSV);


        //delay 30ms so that screen can refresh.
        //image will not appear without this waitKey() command
        waitKey(30);
    }
}

当我通过VS2012调试工具运行.exe或者只是在Windows资源管理器中双击它时,它工作正常,我可以做任何事情。当我使用运行时在Java中执行它时,它可以在50ms到5秒之间的任何时间内工作,而不是“ProcessingManager.exe已无限期地停止响应”。我无法弄清楚为什么它这样做会有人知道

1 个答案:

答案 0 :(得分:0)

使用VC开始或双击可执行文件的标准输入和标准输出与使用Java“exec”方法开始时不同。

你可以做些什么来确定这是否是问题:

创建一个基于命令行的可执行文件(假设它名为“testExecutable.exe”),它只包含一个空循环。您可以使用“Sleep”Windows API函数来确保程序不会占用计算机运行时间的90%:

#include <windows.h>

int main()
{
    while(1) { Sleep(1000); }
}

将此可执行文件放入与“ProcessingManager.exe”相同的目录中。

启动Windows命令行(cmd.exe)并切换到“testExcutable.exe”和“ProcessingManager.exe”所在的目录。

运行以下命令行:

testExecutable | ProcessingManager | testExecutable

如果您不了解命令行窗口:命令窗口应如下所示:

some_directory> C:
C:\some_directory> cd "\Users\Arhowk\Documents\...\x64\Debug"
C:\Users\Arhowk\...\x64\Debug> testExecutable | ProcessingManager | testExecutable

现在检查程序是否正确运行。如果没有,那么改变的标准输入和输出就是问题。

您可以在任务管理器中杀死testExecutable.exe(它正在运行两次),或者只需关闭Windows命令行窗口。