Python Opencv 和 Sockets - 以 h264 编码的流视频

所以我正在尝试制作一个流媒体，将视频从局域网上的一台计算机流式传输到另一台计算机（或目前同一台计算机）。我需要它使用尽可能少的带宽，所以我尝试用 h264 进行编码。我在做这件事时遇到了困难，我真的不知道从哪里开始。现在它是用jpg编码的，并且是逐帧发送的。然而，我知道这是非常低效的并且消耗大量带宽。这是我当前的接收器代码。

import cv2
import socket
import _pickle
import time

host = "192.168.1.196"
port = 25565
boo = True

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # declares s object with two parameters
s.bind((host, port)) # tells my socket object to connect to this host & port "binds it to it"
s.listen(10) # tells the socket how much data it will be receiving.

conn, addr = s.accept()
buf = ''
while boo:
        pictures = conn.recv(128000) # creates a pictures variable that receives the pictures with a max amount of 128000 data it can receive
        decoded = _pickle.loads(pictures) # decodes the pictures
        frame = cv2.imdecode(decoded, cv2.IMREAD_COLOR) # translates decoded into frames that we can see!
        cv2.imshow("recv", frame)
        if cv2.waitKey(1) & 0xFF == ord("q"):  # wait until q key was pressed once and
            break

这是我当前的客户端代码（发送者）：

import cv2
import numpy as np
import socket
import _pickle
from cv2 import *

host = "192.168.1.196"
port = 25565

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)  # declares s object with two parameters
s.connect((host, port))  # connects to the host & port
cap = cv2.VideoCapture(1)
cv2.cv.CV_FOURCC('H','2','6','4')
while cap.isOpened(): # while camera is being used
    ret, frame = cap.read()  # reads each frame from webcam
    cv2.imshow("client", frame)
    if ret:
        encoded = _pickle.dumps(cv2.imencode("fourcc", frame)[1]) # encoding each frame, instead of sending live video it is sending pictures one by one
        s.sendall(encoded)
    if cv2.waitKey(1) & 0xFF == ord("q"): # wait until key was pressed once and
        break
cap.release()
cv2.destroyAllWindows()

我只需要一些有关如何对视频进行编码并以 h264 进行解码的帮助。

您可以使用以下方法执行此操作pyzmq以及发布/订阅具有 Base64 字符串编码/解码的模式。在服务器端，想法是：

• 从相机流中获取帧
• 从内存缓冲区读取图像cv2.imencode
• Convert ndarray into str使用 base64 并通过套接字发送

在客户端，我们只需反转该过程：

• 从套接字读取图像字符串
• Convert str into bytes与base64
• Convert bytes into ndarray with np.frombuffer + cv2.imdecode

此方法不应使用太多带宽，因为它仅通过套接字发送字符串。

Server

import base64
import cv2
import zmq

context = zmq.Context()
socket = context.socket(zmq.PUB)
socket.connect('tcp://localhost:7777')

camera = cv2.VideoCapture(0)

while True:
    try:
        ret, frame = camera.read()
        frame = cv2.resize(frame, (640, 480))
        encoded, buf = cv2.imencode('.jpg', frame)
        image = base64.b64encode(buf)
        socket.send(image)
    except KeyboardInterrupt:
        camera.release()
        cv2.destroyAllWindows()
        break

Client

import cv2
import zmq
import base64
import numpy as np

context = zmq.Context()
socket = context.socket(zmq.SUB)
socket.bind('tcp://*:7777')
socket.setsockopt_string(zmq.SUBSCRIBE, np.unicode(''))

while True:
    try:
        image_string = socket.recv_string()
        raw_image = base64.b64decode(image_string)
        image = np.frombuffer(raw_image, dtype=np.uint8)
        frame = cv2.imdecode(image, 1)
        cv2.imshow("frame", frame)
        cv2.waitKey(1)
    except KeyboardInterrupt:
        cv2.destroyAllWindows()
        break