2017-04-20 123 views
1

我目前正在研究一個涉及將IDS UEye XC相機附加到Raspberry Pi 3以記錄視頻的項目。我用Python中的C++,OpenCV和IDS API以及另一個腳本(腳本2)編寫了一個腳本(腳本1),以使用Raspberry Pi上的GPIO按鈕啓動和停止腳本1。附上腳本1和2在Python中使用UEye API

腳本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; 
} 

腳本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() 

我以爲一切都完美地工作,直到我試圖把視頻文件從樹莓轉移到Windows 7筆記本電腦。我發現,如果我讓腳本1在整個運行過程中不間斷地運行,它會在筆記本電腦上播放,但如果我使用腳本2中斷了腳本1,然後嘗試在筆記本電腦上播放它,它將無法呈現。

這讓我相信,當我打斷它時,相機並沒有「清理乾淨」。我的意思是它沒有得到is_ExitCamera(),它乾淨地釋放並關閉相機。我目前正在使用os.killpg()殺死程序。有沒有辦法用is_ExitCamera()替代它,即使一個是C++,另一個是Python?

在此先感謝。

回答

1

您可以通過調用所有帶「ctypes」功能的python中的uEye API。我不確定是否可以在第二個腳本中調用is_exitCamera命令,或者是否需要將所有第一個C++腳本重新編寫爲python。在使用python的ctypes的uEye API的

例如:

import ctypes 
import numpy as np 

uEyeDll = ctypes.cdll.LoadLibrary("ueye_api.dll") #include full path or copy dll into same folder as .py script 


#connect camera 
cam = ctypes.c_uint32(0) 
hWnd = ctypes.c_voidp() 
msg=uEyeDll.is_InitCamera(ctypes.byref(cam),hWnd) 
ErrChk=uEyeDll.is_EnableAutoExit (cam, ctypes.c_uint(1)) 
if ~ErrChk: 
    print (' Camera Connected') 
IS_CM_SENSOR_RAW8 =ctypes.c_int(11) 
nRet = uEyeDll.is_SetColorMode(cam,IS_CM_SENSOR_RAW8) 
IS_SET_TRIGGER_SOFTWARE = ctypes.c_uint(0x1000) 
nRet = uEyeDll.is_SetExternalTrigger(cam, IS_SET_TRIGGER_SOFTWARE) 


#allocate memory 
width_py = 1600 
height_py = 1200 
pixels_py =8 

width = ctypes.c_int(width_py) #convert python values into c++ integers 
height = ctypes.c_int(height_py) 
bitspixel=ctypes.c_int(pixels_py) 
pcImgMem = ctypes.c_char_p() #create placeholder for image memory 
pid=ctypes.c_int() 

ErrChk=uEyeDll.is_AllocImageMem(cam, width, height, bitspixel, ctypes.byref(pcImgMem), ctypes.byref(pid)) 


# Get image data  
uEyeDll.is_SetImageMem(cam, pcImgMem, pid) 
ImageData = np.ones((height_py,width_py),dtype=np.uint8) 

#put these lines inside a while loop to return continuous images to the array "ImageData" 
uEyeDll.is_FreezeVideo (cam, ctypes.c_int(0x0000)) #IS_DONT_WAIT = 0x0000, or IS_GET_LIVE = 0x8000 
uEyeDll.is_CopyImageMem (cam, pcImgMem, pid, ImageData.ctypes.data)