OpenCV能夠爲我們帶來便捷的圖像處理接口,但是其處理速度在一塊樹莓派上肯定是不盡如人意的。尤其當我們想要使用複雜的算法時,只能把算法託到服務器上纔有可能。這裏介紹了一種方法,實現樹莓派傳輸Mat至電腦。
準備工作
1、配置好樹莓派上的OpenCV.
2、配置好電腦上的OpenCV.
思路
Socket實現方法較爲簡單,但在此處需要注意的是:
樹莓派上的,是linux系統;而我電腦上是windows系統,需要注意這一點來進行編程。
代碼
樹莓派作爲客戶端,發送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");//這裏填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;
}
服務器接收並顯示
#include <winsock2.h>
#include <opencv.hpp>
using namespace cv;
using namespace std;
#pragma comment(lib,"ws2_32.lib")
#define imgSize 307200 //這裏需要算一下,因爲Visual Studio不能支持用變量初始化數組
//imgSize=frame.total()*frame.elemSize();
//即:如果爲灰度圖:圖像的寬*圖像的高 這裏是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;
}
//創建套接字
SOCKET slisten = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP);
if (slisten == INVALID_SOCKET)
{
printf("socket error !");
return 0;
}
//綁定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 !");
}
//開始監聽
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);//根據攝像頭大小自行修改
imshow("Face_Socket", img);
waitKey(1);
}
closesocket(slisten);
WSACleanup();
return 0;
}
先運行服務器,後運行客戶端(其實無所謂),我們就可以在服務器上看到樹莓派通過攝像頭獲取到的幀,那麼就可以對齊進行很多操作了。