OpenCV能够为我们带来便捷的图像处理接口,但是其处理速度在一块树莓派上肯定是不尽如人意的。尤其当我们想要使用复杂的算法时,只能把算法托到服务器上才有可能。这里介绍了一种方法,实现树莓派传输Mat至电脑。
准备工作
1、配置好树莓派上的OpenCV.
2、配置好电脑上的OpenCV.
思路
Socket实现方法较为简单,但在此处需要注意的是:
树莓派上的,是linux系统;而我电脑上是windows系统,需要注意这一点来进行编程。
代码
树莓派作为客户端,发送Mat.
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <string.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <netdb.h>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
void error(const char *msg)
{
perror(msg);
exit(0);
}
int main()
{
int sockfd, portno, n;
struct sockaddr_in serv_addr;
struct hostent *server;
portno = atoi("8888");
sockfd = socket(AF_INET, SOCK_STREAM, 0);
if (sockfd < 0)
error("ERROR opening socket");
server = gethostbyname("10.138.216.104");//这里填IP地址
if (server == NULL) {
fprintf(stderr, "ERROR, no such host\n");
exit(0);
}
bzero((char *)&serv_addr, sizeof(serv_addr));
serv_addr.sin_family = AF_INET;
bcopy((char *)server->h_addr,
(char *)&serv_addr.sin_addr.s_addr,
server->h_length);
serv_addr.sin_port = htons(portno);
if (connect(sockfd, (struct sockaddr *) &serv_addr, sizeof(serv_addr)) < 0)
error("ERROR connecting");
VideoCapture cap(0);
Mat frame;
while (true)
{
cap >> frame;
cvtColor(frame, frame, CV_BGR2GRAY);
// Send data here
int bytes = send(sockfd, frame.data, frame.total()*frame.elemSize(), 0));
}
waitKey(0);
return 0;
}
服务器接收并显示
#include <winsock2.h>
#include <opencv.hpp>
using namespace cv;
using namespace std;
#pragma comment(lib,"ws2_32.lib")
#define imgSize 307200 //这里需要算一下,因为Visual Studio不能支持用变量初始化数组
//imgSize=frame.total()*frame.elemSize();
//即:如果为灰度图:图像的宽*图像的高 这里是640*480
int main(int argc, char* argv[])
{
//初始化WSA
WORD sockVersion = MAKEWORD(2, 2);
WSADATA wsaData;
if (WSAStartup(sockVersion, &wsaData) != 0)
{
return 0;
}
//创建套接字
SOCKET slisten = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP);
if (slisten == INVALID_SOCKET)
{
printf("socket error !");
return 0;
}
//绑定IP和端口
sockaddr_in sin;
sin.sin_family = AF_INET;
sin.sin_port = htons(8888);
sin.sin_addr.S_un.S_addr = INADDR_ANY;
if (bind(slisten, (LPSOCKADDR)&sin, sizeof(sin)) == SOCKET_ERROR)
{
printf("bind error !");
}
//开始监听
if (listen(slisten, 5) == SOCKET_ERROR)
{
printf("listen error !");
return 0;
}
SOCKET sClient;
sockaddr_in remoteAddr;
int nAddrlen = sizeof(remoteAddr);
cout << "Wait.." << endl;
do
{
sClient = accept(slisten, (SOCKADDR *)&remoteAddr, &nAddrlen);
} while (sClient == INVALID_SOCKET);
cout<<"Received Information come from"<< inet_ntoa(remoteAddr.sin_addr)<<endl;
int bytes = 0;
while (1)
{
char socketData[imgSize];
for (int i = 0; i < imgSize; i += bytes) {
if ((bytes = recv(sClient, socketData + i, imgSize - i, 0)) == -1)
{
cout << "!Fault" << endl;
exit(-1);
}
}
// change the last loop to below statement
Mat img(Size(640, 480), CV_8UC1, socketData);//根据摄像头大小自行修改
imshow("Face_Socket", img);
waitKey(1);
}
closesocket(slisten);
WSACleanup();
return 0;
}
先运行服务器,后运行客户端(其实无所谓),我们就可以在服务器上看到树莓派通过摄像头获取到的帧,那么就可以对齐进行很多操作了。