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python實(shí)現(xiàn)不同電腦之間視頻傳輸功能

更新時(shí)間：2021年06月24日 10:47:11 作者：景唯acr

這篇文章主要介紹了python實(shí)現(xiàn)不同電腦之間視頻傳輸,本文視頻傳輸實(shí)現(xiàn)的前提是確保發(fā)送端和接收端接在同一個(gè)局域網(wǎng)下，分為發(fā)送端和接收端，通過實(shí)例代碼給大家介紹的非常詳細(xì)，需要的朋友參考下吧

1. imageZMQ庫實(shí)現(xiàn)

imageZMQ庫鏈接：https://github.com/jeffbass/imagezmq
該庫原本是用于樹莓派上的視頻傳輸，其包含很多示例，有興趣可以去看看。

在這里插入圖片描述

上圖中間的筆記本為發(fā)送端，其余兩個(gè)屏幕顯示的是接收端視頻。本文視頻傳輸實(shí)現(xiàn)的前提是確保發(fā)送端和接收端接在同一個(gè)局域網(wǎng)下。

發(fā)送端

import socket
import time
import cv2
import imagezmq
import traceback
import simplejpeg

# capture=cv2.VideoCapture(0) # 獲取攝像頭視頻
capture=cv2.VideoCapture(r"D:\project\dataset\video\測(cè)試.mp4")
# 192.168.100.104 為發(fā)送端主機(jī)ip地址
sender = imagezmq.ImageSender(connect_to='tcp://192.168.100.104:5555', REQ_REP=False)
rpi_name = socket.gethostname() # 獲取主機(jī)名
time.sleep(2.0)  
jpeg_quality = 95   #調(diào)整圖片壓縮質(zhì)量，95%
while(True):
    try:
        ref, frame=capture.read(0)
        time.sleep(1/60)
        image = cv2.resize(frame,(1280,720))
        curtime = time.time()
        msg = rpi_name+'*'+str(curtime)
        # 通過simplejpeg函數(shù)將圖片編碼為jpeg格式，提高傳輸效率
        jpg_buffer = simplejpeg.encode_jpeg(image, quality=jpeg_quality,
                                            colorspace='BGR')
        sender.send_jpg(msg, jpg_buffer)
        cv2.imshow(rpi_name, image)
        cv2.waitKey(1)
    except:
        print(traceback.print_exc())
        break

接收端（可以多臺(tái)設(shè)備同時(shí)接收）

import cv2
import imagezmq
import traceback
import time
import simplejpeg

# 接收發(fā)送端數(shù)據(jù)，輸入發(fā)送端的ip地址
image_hub = imagezmq.ImageHub(open_port='tcp://192.168.100.104:5555',REQ_REP=False)
frame_count = 1
time1 = 0
while True:
    try:
        time1 = time.time() if frame_count == 1 else time1
        name, image = image_hub.recv_jpg()
        # 解碼
        image = simplejpeg.decode_jpeg(image, colorspace='BGR')
        cv2.imshow(name.split('*')[0], image)
        cv2.waitKey(1)
        time2 = time.time()
        print(image.shape[:2], int(frame_count/(time2-time1)))
        frame_count += 1
    except:
        print(traceback.format_exc())
        break

2. TCP協(xié)議實(shí)現(xiàn)

在這里插入圖片描述
發(fā)送端

import socket
import cv2

import sys
import numpy as np
address = ('192.168.100.104', 5005)  # 服務(wù)端地址和端口
ser = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
ser.bind(address)
ser.listen(5)
# 阻塞式
print('waiting。。。')
conn, addr = ser.accept()
print('建立連接...')
print('連接對(duì)象：', addr)
cap = cv2.VideoCapture(r"D:\project\dataset\video\測(cè)試.mp4")
# cap = cv2.VideoCapture(0)
frames_num=cap.get(7)
print('視頻總幀數(shù)：',frames_num)
print('發(fā)送目標(biāo)...')
count = 0
while cap.isOpened():
    try:
        data = conn.recv(1024)
        data = data.decode()
        if not data:
            break
        ret, frame = cap.read()
        frame = cv2.resize(frame,(1280,720))
        cv2.imshow('send', frame)
        cv2.waitKey(1)
        count += 1
        # 數(shù)據(jù)打包有很多方式，也可以用json打包
        img_encode = cv2.imencode('.jpg', frame)[1]

        data_encode = np.array(img_encode)
        str_encode = data_encode.tostring()

        conn.sendall(str_encode)
    except KeyboardInterrupt:
        print('KeyboardInterrupt')
        sys.exit(0)

接收端

import socket
import sys
import cv2
import numpy as np
import time
address = ('192.168.100.104', 5005)  # 服務(wù)端地址和端口
cli = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
    cli.connect(address)  # 嘗試連接服務(wù)端
except Exception:
    print('[!] Server not found or not open')
    sys.exit()

frame_count = 1
while True:
    time1 = time.time() if frame_count == 1 else time1
    trigger = 'ok'
    cli.sendall(trigger.encode())
    data = cli.recv(1024*1024*20)
    image = np.frombuffer(data, np.uint8)
    image = cv2.imdecode(image,cv2.IMREAD_COLOR)
    cv2.imshow('video',image)
    cv2.waitKey(1)
    end_time = time.time()
    time2 = time.time()
    print(image.shape[:2], int(frame_count / (time2 - time1)))
    frame_count += 1
cli.close()

到此這篇關(guān)于python實(shí)現(xiàn)不同電腦之間視頻傳輸?shù)奈恼戮徒榻B到這了,更多相關(guān)python視頻傳輸內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！

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