python实现opencv+scoket网络实时图传

#服务端
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
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=15         #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
            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]="服务端的ip"
  camera.addr_port=tuple(camera.addr_port)
  camera.Socket_Connect()
  camera.Get_Data(camera.interval