最新下载
热门教程
- 1
 - 2
 - 3
 - 4
 - 5
 - 6
 - 7
 - 8
 - 9
 - 10
 
python实现不同电脑之间视频传输功能代码示例
时间:2022-06-25 01:54:39 编辑:袖梨 来源:一聚教程网
本篇文章小编给大家分享一下python实现不同电脑之间视频传输功能代码示例,文章代码介绍的很详细,小编觉得挺不错的,现在分享给大家供大家参考,有需要的小伙伴们可以来看看。
1. imageZMQ库实现
imageZMQ库链接:https://git**hu*b.com/jeffbass/imagezmq
该库原本是用于树莓派上的视频传输,其包含很多示例,有兴趣可以去看看。
上图中间的笔记本为发送端,其余两个屏幕显示的是接收端视频。本文视频传输实现的前提是确保发送端和接收端接在同一个局域网下。
发送端
import socket
import time
import cv2
import imagezmq
import traceback
import simplejpeg
# capture=cv2.VideoCapture(0) # 获取摄像头视频
capture=cv2.VideoCapture(r"D:projectdatasetvideo测试.mp4")
# 192.168.100.104 为发送端主机ip地址
sender = imagezmq.ImageSender(connect_to='tcp://192.168.100.104:5555', REQ_REP=False)
rpi_name = socket.gethostname() # 获取主机名
time.sleep(2.0)  
jpeg_quality = 95   #调整图片压缩质量,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)
        # 通过simplejpeg函数将图片编码为jpeg格式,提高传输效率
        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(可以多台设备同时接收)
import cv2
import imagezmq
import traceback
import time
import simplejpeg
# 接收发送端数据,输入发送端的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()
        # 解码
        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协议实现
发送端
import socket
import cv2
import sys
import numpy as np
address = ('192.168.100.104', 5005)  # 服务端地址和端口
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('建立连接...')
print('连接对象:', addr)
cap = cv2.VideoCapture(r"D:projectdatasetvideo测试.mp4")
# cap = cv2.VideoCapture(0)
frames_num=cap.get(7)
print('视频总帧数:',frames_num)
print('发送目标...')
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
        # 数据打包有很多方式,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)  # 服务端地址和端口
cli = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
    cli.connect(address)  # 尝试连接服务端
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()
                                        				                
                    相关文章
- 原神幽境危战霜役人打法教学 11-04
 - 超自然行动组最新小抄分享 2025实用攻略技巧汇总 11-04
 - 王者荣耀西施奖励网站在哪进 西施奖励最新网页在线入口 11-04
 - 超自然行动组可用的兑换码有哪些 2025最新有效兑换码领取 11-04
 - 超自然行动组官网入口是什么 超自然官网网页在线充值入口 11-04
 - 我的世界物品怎么一键丢弃 mc快捷键使用指南 11-04
 
            
                                
                                
                                
                                
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
                                            
                                        
