如何在Python中使用tcp套接字发送和接收网络摄像头流？

我正试图重新创造。我有一台服务器（我的计算机）和一台客户端（我的raspberry pi）。与最初的项目不同的是，我尝试使用一个简单的网络摄像头而不是raspberry pi摄像头将图像从我的rpi传输到服务器。我知道我必须：

从相机获取opencv图像帧

将帧（numpy数组）转换为字节

将字节从客户端传输到服务器

将字节转换回帧和视图

请举例说明

self\u driver.py

import SocketServer
import threading
import numpy as np
import cv2
import sys


ultrasonic_data = None

#BaseRequestHandler is used to process incoming requests
class UltrasonicHandler(SocketServer.BaseRequestHandler):

    data = " "

    def handle(self):

        while self.data:
            self.data = self.request.recv(1024)
            ultrasonic_data = float(self.data.split('.')[0])
            print(ultrasonic_data)


#VideoStreamHandler uses streams which are file-like objects for communication
class VideoStreamHandler(SocketServer.StreamRequestHandler):

    def handle(self):
        stream_bytes = b''

        try:
            stream_bytes += self.rfile.read(1024)
            image = np.frombuffer(stream_bytes, dtype="B")
            print(image.shape)
            cv2.imshow('F', image)
            cv2.waitKey(0)

        finally:
            cv2.destroyAllWindows()
            sys.exit()


class Self_Driver_Server:

    def __init__(self, host, portUS, portCam):
        self.host = host
        self.portUS = portUS
        self.portCam = portCam

    def startUltrasonicServer(self):
        # Create the Ultrasonic server, binding to localhost on port 50001
        server = SocketServer.TCPServer((self.host, self.portUS), UltrasonicHandler)
        server.serve_forever()

    def startVideoServer(self):
        # Create the video server, binding to localhost on port 50002
        server = SocketServer.TCPServer((self.host, self.portCam), VideoStreamHandler)
        server.serve_forever()

    def start(self):
        ultrasonic_thread = threading.Thread(target=self.startUltrasonicServer)
        ultrasonic_thread.daemon = True
        ultrasonic_thread.start()
        self.startVideoServer()


if __name__ == "__main__":

    #From SocketServer documentation
    HOST, PORTUS, PORTCAM = '192.168.0.18', 50001, 50002
    sdc = Self_Driver_Server(HOST, PORTUS, PORTCAM)

    sdc.start()

import socket
import time
import cv2


client_sock = socket.socket()
client_sock.connect(('192.168.0.18', 50002))
#We are going to 'write' to a file in 'binary' mode
conn = client_sock.makefile('wb')

try:
    cap = cv2.VideoCapture(0)
    cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,320)
    cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT,240)

    start = time.time()

    while(cap.isOpened()):
        conn.flush()
        ret, frame = cap.read()
        byteImage = frame.tobytes()
        conn.write(byteImage)


finally:
    finish = time.time()
    cap.release()
    client_sock.close()
    conn.close()

视频客户端.py

import SocketServer
import threading
import numpy as np
import cv2
import sys


ultrasonic_data = None

#BaseRequestHandler is used to process incoming requests
class UltrasonicHandler(SocketServer.BaseRequestHandler):

    data = " "

    def handle(self):

        while self.data:
            self.data = self.request.recv(1024)
            ultrasonic_data = float(self.data.split('.')[0])
            print(ultrasonic_data)


#VideoStreamHandler uses streams which are file-like objects for communication
class VideoStreamHandler(SocketServer.StreamRequestHandler):

    def handle(self):
        stream_bytes = b''

        try:
            stream_bytes += self.rfile.read(1024)
            image = np.frombuffer(stream_bytes, dtype="B")
            print(image.shape)
            cv2.imshow('F', image)
            cv2.waitKey(0)

        finally:
            cv2.destroyAllWindows()
            sys.exit()


class Self_Driver_Server:

    def __init__(self, host, portUS, portCam):
        self.host = host
        self.portUS = portUS
        self.portCam = portCam

    def startUltrasonicServer(self):
        # Create the Ultrasonic server, binding to localhost on port 50001
        server = SocketServer.TCPServer((self.host, self.portUS), UltrasonicHandler)
        server.serve_forever()

    def startVideoServer(self):
        # Create the video server, binding to localhost on port 50002
        server = SocketServer.TCPServer((self.host, self.portCam), VideoStreamHandler)
        server.serve_forever()

    def start(self):
        ultrasonic_thread = threading.Thread(target=self.startUltrasonicServer)
        ultrasonic_thread.daemon = True
        ultrasonic_thread.start()
        self.startVideoServer()


if __name__ == "__main__":

    #From SocketServer documentation
    HOST, PORTUS, PORTCAM = '192.168.0.18', 50001, 50002
    sdc = Self_Driver_Server(HOST, PORTUS, PORTCAM)

    sdc.start()

import socket
import time
import cv2


client_sock = socket.socket()
client_sock.connect(('192.168.0.18', 50002))
#We are going to 'write' to a file in 'binary' mode
conn = client_sock.makefile('wb')

try:
    cap = cv2.VideoCapture(0)
    cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH,320)
    cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT,240)

    start = time.time()

    while(cap.isOpened()):
        conn.flush()
        ret, frame = cap.read()
        byteImage = frame.tobytes()
        conn.write(byteImage)


finally:
    finish = time.time()
    cap.release()
    client_sock.close()
    conn.close()

---

您不能将接收到的每个1-1024字节的缓冲区显示为图像；您必须将它们串联起来，并且仅在缓冲区完成时显示图像

如果您知道带外图像将是固定数量的字节，您可以执行以下操作：

IMAGE_SIZE = 320*240*3

def handle(self):
    stream_bytes = b''

    try:
        stream_bytes += self.rfile.read(1024)
        while len(stream_bytes) >= IMAGE_SIZE:
            image = np.frombuffer(stream_bytes[:IMAGE_SIZE], dtype="B")
            stream_bytes = stream_bytes[IMAGE_SIZE:]
            print(image.shape)
            cv2.imshow('F', image)
            cv2.waitKey(0)
    finally:
        cv2.destroyAllWindows()
        sys.exit()

如果您不知道这一点，则必须添加某种帧协议，例如在每个帧之前将帧大小作为uint32发送，这样服务器就可以知道每个帧要接收多少字节

---

接下来，如果只是发送原始字节，而没有任何数据类型、形状或顺序信息，则需要将数据类型和形状信息嵌入到服务器中。如果您知道它应该是，例如，特定形状中以C顺序排列的字节，您可以手动执行此操作：

image = np.frombuffer(stream_bytes, dtype="B").reshape(320, 240, 3)

…但如果没有，您也必须将该信息作为帧协议的一部分发送

或者，您可以发送缓冲区的

pickle.dumps

，然后

pickle.loads

在另一侧，或者

np.save

到

BytesIO

并

np.loads

结果。无论哪种方式，都包括数据类型、形状、顺序和步幅信息以及原始字节，因此您不必担心它

---

下一个问题是，只要显示一个图像，您就会退出。这真的是你想要的吗？如果没有…就不要那样做

---

---

但这只会引发另一个问题。你真的想用这个

cv.waitKey

阻止整个服务器吗？您的客户正在捕获图像并尽可能快地发送它们；当然，您要么想让服务器在它们到达时立即显示它们，要么改变设计，让客户端只按需发送帧。否则，您只会得到一堆几乎相同的帧，然后在客户端被阻塞等待您耗尽缓冲区时，会有几秒钟的间隔，然后重复。

回答得很好！