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。
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