查看: 3554|回复: 1

[教程] 树莓派/PC摄像头数据共享(方法一:Python-OpenCV)

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：

[mw_shl_code=python,false]#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()[/mw_shl_code]

客户端Demo如下：

[mw_shl_code=python,false]#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)[/mw_shl_code]

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。