【发布时间】：2017-09-17 03:44:00
【问题描述】：
我目前正在开展一个项目，该项目涉及将 IDS UEye XC 摄像头连接到 Raspberry Pi 3 以录制视频。我使用 C++、OpenCV 和 IDS API 编写了一个脚本（脚本 1），并在 Python 中编写了另一个脚本（脚本 2），以使用 Raspberry Pi 上的 GPIO 按钮启动和停止脚本 1。附上脚本 1 和 2。
脚本 1：
#include "uEye.h"
#include "stdio.h"
#include "stdlib.h"
#include "iostream"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/core.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/opencv.hpp"
using namespace std;
using namespace cv;
HIDS hCam = 1;
SENSORINFO sensor_info;
CAMINFO camera_info;
int nRet;
int Mode;
char strCamFileName[256];
int img_width=640;
int img_height=480;
int main ()
{
//initialize camera
nRet = is_InitCamera(&hCam, NULL);
cout << "Status Init: " << nRet << endl;
//get sensor info
//nRet = is_GetSensorInfo(hCam, &sensor_info);
//cout << "Sensor Color Mode: " << sensor_info.nColorMode << endl;
//cout << "Camera Model: " << sensor_info.strSensorName << endl;
//get camera info
//nRet = is_GetCameraInfo(hCam, &camera_info);
//cout << "Camera ID: " << camera_info.ID << endl;
//cout << "Camera SerNum: " << camera_info.SerNo << endl;
//cout << "Camera Version: " << camera_info.Version << endl;
//cout << "Camera Type: " << camera_info.Type << endl;
//color mode
Mode = IS_CM_RGB8_PACKED;
nRet = is_SetColorMode(hCam, Mode);
cout << "Color Mode: " << nRet << endl;
UINT formatID = 13;
nRet = is_ImageFormat(hCam, IMGFRMT_CMD_SET_FORMAT, &formatID, 4);
cout << "Status Image Format: " << nRet << endl;
char* pMem = NULL;
int memID = 0;
nRet = is_AllocImageMem(hCam, img_width, img_height, 24, &pMem, &memID);
nRet = is_SetImageMem(hCam, pMem, memID);
//set display mode
Mode = IS_SET_DM_DIB;
nRet = is_SetDisplayMode(hCam, Mode);
//zoom
double dZoomValue = 0;
nRet = is_Zoom(hCam, ZOOM_CMD_DIGITAL_SET_VALUE, (void*)&dZoomValue, sizeof(dZoomValue));
cout << "Zoom: " << dZoomValue << endl;
VideoWriter video("out.avi", CV_FOURCC('X','V','I','D'), 10, Size(img_width, img_height),true);
for(int ii=0; ii<600; ii++)
{
if(is_FreezeVideo(hCam, IS_WAIT) == IS_SUCCESS){
void *pMemVoid; //pointer to where the image is stored
is_GetImageMem (hCam, &pMemVoid);
Mat img=Mat(Size(img_width,img_height), CV_8UC3, pMemVoid);
video.write(img);
namedWindow( "Live Video", WINDOW_NORMAL);
resizeWindow("Live Video", 320,240);
imshow("Live Video", img);
waitKey(1);
}
}
//exit camera
is_ExitCamera(hCam);
return 0;
}
脚本 2：
import RPi.GPIO as GPIO
import signal
import time
import os
import subprocess
from subprocess import call
import sys
from sys import exit
GPIO.setmode(GPIO.BOARD)
GPIO.setup(12, GPIO.IN, pull_up_down=GPIO.PUD_UP)
GPIO.setup(16, GPIO.IN, pull_up_down=GPIO.PUD_UP)
GPIO.setup(18, GPIO.IN, pull_up_down=GPIO.PUD_UP)
set = 0
while True:
if GPIO.input(12) == False and set == 0:
print('Starting Video Recording')
p=subprocess.Popen("./video", shell=False, preexec_fn=os.setsid)
time.sleep(1)
set = 1
if GPIO.input(16) == False and set == 1:
print('Stopping Video Recording')
os.killpg(os.getpgid(p.pid), signal.SIGTERM)
time.sleep(2)
set = 0
if GPIO.input(18) == False and set == 0:
print('Exit Video Recording')
time.sleep(1)
break
GPIO.cleanup()
在我尝试将视频文件从 Raspberry 传输到 Windows 7 笔记本电脑之前，我一直认为一切正常。我发现如果我让脚本 1 在其整个持续时间内不间断地运行，它会在笔记本电脑上播放，但如果我使用脚本 2 中断脚本 1，然后尝试在笔记本电脑上播放它，它就不会呈现。
这让我相信，当我打断它时，相机没有正确“清理”它。我的意思是它没有到达is_ExitCamera()，它干净地释放并关闭了相机。我目前正在使用os.killpg() 杀死该程序。有没有办法用 is_ExitCamera() 替换它，即使一个是 C++ 而另一个是 Python？
提前致谢。
【问题讨论】：
标签： python c++ linux opencv camera