树莓派/PC实现实时摄像头数据共享(Python—OpenCV)

2021/6/29 11:22:54

本文主要是介绍树莓派/PC实现实时摄像头数据共享(Python—OpenCV),对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!

使用Python和OpenCV实现树莓派/PC实时摄像头数据共享,主要分为服务器和客户端两部分。

服务器Demo如下:

#服务器端

import socket
import threading
import struct
import time
import cv2
import numpy

class Carame_Accept_Object:
    def __init__(self,S_addr_port=("",8880)):
        self.resolution=(640,480)       #分辨率
        self.img_fps=15                 #每秒传输多少帧数
        self.addr_port=S_addr_port
        self.Set_Socket(self.addr_port)

    #设置套接字
    def Set_Socket(self,S_addr_port):
        self.server=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
        self.server.setsockopt(socket.SOL_SOCKET,socket.SO_REUSEADDR,1) #端口可复用
        self.server.bind(S_addr_port)
        self.server.listen(5)
        #print("the process work in the port:%d" % S_addr_port[1])


def check_option(object,client):
    #按格式解码,确定帧数和分辨率
    info=struct.unpack('lhh',client.recv(8))
    if info[0]>888:
        object.img_fps=int(info[0])-888          #获取帧数
        object.resolution=list(object.resolution)
        # 获取分辨率
        object.resolution[0]=info[1]
        object.resolution[1]=info[2]
        object.resolution = tuple(object.resolution)
        return 1
    else:
        return 0

def RT_Image(object,client,D_addr):
    if(check_option(object,client)==0):
        return
    camera=cv2.VideoCapture(0)                                #从摄像头中获取视频
    img_param=[int(cv2.IMWRITE_JPEG_QUALITY),object.img_fps]  #设置传送图像格式、帧数
    while(1):
        time.sleep(0.1)             #推迟线程运行0.1s
        _,object.img=camera.read()  #读取视频每一帧

        object.img=cv2.resize(object.img,object.resolution)     #按要求调整图像大小(resolution必须为元组)
        _,img_encode=cv2.imencode('.jpg',object.img,img_param)  #按格式生成图片
        img_code=numpy.array(img_encode)                        #转换成矩阵
        object.img_data=img_code.tostring()                     #生成相应的字符串
        try:
            #按照相应的格式进行打包发送图片
            client.send(struct.pack("lhh",len(object.img_data),object.resolution[0],object.resolution[1])+object.img_data)
        except:
            camera.release()        #释放资源
            return

if __name__ == '__main__':
    camera=Carame_Accept_Object()
    while(1):
        client,D_addr=camera.server.accept()
        clientThread=threading.Thread(None,target=RT_Image,args=(camera,client,D_addr,))
        clientThread.start()

 客户端Demo如下:

#客户端


import socket
import cv2
import threading
import struct
import numpy

class Camera_Connect_Object:
    def __init__(self,D_addr_port=["",8880]):
        self.resolution=[640,480]
        self.addr_port=D_addr_port
        self.src=888+15                 #双方确定传输帧数,(888)为校验值
        self.interval=0                 #图片播放时间间隔
        self.img_fps=100               #每秒传输多少帧数

    def Set_socket(self):
        self.client=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
        self.client.setsockopt(socket.SOL_SOCKET,socket.SO_REUSEADDR,1)

    def Socket_Connect(self):
        self.Set_socket()
        self.client.connect(self.addr_port)
        print("IP is %s:%d" % (self.addr_port[0],self.addr_port[1]))

    def RT_Image(self):
        #按照格式打包发送帧数和分辨率
        self.name=self.addr_port[0]+" Camera"
        self.client.send(struct.pack("lhh", self.src, self.resolution[0], self.resolution[1]))
        while(1):
            info=struct.unpack("lhh",self.client.recv(8))
            buf_size=info[0]                    #获取读的图片总长度
            if buf_size:
                try:
                    self.buf=b""                #代表bytes类型
                    temp_buf=self.buf
                    while(buf_size):            #读取每一张图片的长度
                        temp_buf=self.client.recv(buf_size)
                        buf_size-=len(temp_buf)
                        self.buf+=temp_buf      #获取图片
                        data = numpy.fromstring(self.buf, dtype='uint8')    #按uint8转换为图像矩阵
                        self.image = cv2.imdecode(data, 1)                  #图像解码
                        gray = cv2.cvtColor(self.image, cv2.COLOR_BGR2GRAY)
                        cv2.imshow(self.name, self.image)                   #展示图片
                except:
                    pass;
                finally:
                    if(cv2.waitKey(10)==27):        #每10ms刷新一次图片,按‘ESC’(27)退出
                        self.client.close()
                        cv2.destroyAllWindows()
                        break

    def Get_Data(self,interval):
        showThread=threading.Thread(target=self.RT_Image)
        showThread.start()

if __name__ == '__main__':
    camera=Camera_Connect_Object()
    camera.addr_port[0]=input("Please input IP:")
    camera.addr_port=tuple(camera.addr_port)
    camera.Socket_Connect()
    camera.Get_Data(camera.interval)

运行效果还是比较流畅的,因为传输网络视频流,所以画质欠佳。

树莓派视频传输改进方式见:https://blog.csdn.net/m0_38106923/article/details/82628061 

树莓派视频传输最优方法:https://blog.csdn.net/m0_38106923/article/details/86562451



这篇关于树莓派/PC实现实时摄像头数据共享(Python—OpenCV)的文章就介绍到这儿,希望我们推荐的文章对大家有所帮助,也希望大家多多支持为之网!


扫一扫关注最新编程教程