Win10 Python+Nginx+FFmpeg+Django2.2搭建RTMP流媒体服务器并实现摄像头推流并且在网页上显示
Win10 Python+Nginx+FFmpeg+Django2.2 搭建RTMP流媒体服务器并实现摄像头rtmp推流并且在网页上显示
前言：最近在做一个人工智能项目，让我从摄像头读取视频流，然后经过神经网络的处理，从而将处理后的视频流推到HTML上显示。这里就整个实现过程做一个总结。本人是技术能力有限，如有错误之处，请谅解。
第一步：实验之前需要准备的东西有
- Python
- Nginx（这里我们用到的是nginx 1.7.11.3 Gryphon）下载地址：nginx 1.7.11.3 Gryphon
- 服务器状态检查程序stat.xsl 下载地址: nginx-rtmp-module
- ffmpeg 下载地址 ffmpeg
- VLC 下载地址 VLC
- Video.js
- Django
第二步 安装，配置
- 将下载好的nginx 1.7.11.3 Gryphon解压并修改文件名为nginx-1.7.11.3-Gryphon(注意文件的绝对路径上不要有中文名，要不然启动会出错),然后进入nginx-1.7.11.3-Gryphon\conf文件夹,创建nginx-win-rtmp.conf文件 填入以下内容：最好粘贴复制过去(要不然可能格式错误)
#user nobody;
#multiple workers works !
worker_processes 2;
#error_log logs/error.log;
#error_log logs/error.log notice;
#error_log logs/error.log info;
#pid logs/nginx.pid;
events {
worker_connections 8192;
#max value 32768, nginx recycling connections+registry optimization =
#this.value * 20 = max concurrent connections currently tested with one worker
#C1000K should be possible depending there is enough ram/cpu power
#multi_accept on;
}
rtmp {
server {
listen 1935;
chunk_size 4000;
application live {
live on;
# record first 1K of stream
record all;
record_path /tmp/av;
record_max_size 1K;
# append current timestamp to each flv
record_unique on;
# publish only from localhost
allow publish 127.0.0.1;
deny publish all;
#allow play all;
}
}
}
http {
#include /nginx/conf/naxsi_core.rules;
include mime.types;
default_type application/octet-stream;
#log_format main '$remote_addr:$remote_port - $remote_user [$time_local] "$request" '
# '$status $body_bytes_sent "$http_referer" '
# '"$http_user_agent" "$http_x_forwarded_for"';
#access_log logs/access.log main;
# # loadbalancing PHP
# upstream myLoadBalancer {
# server 127.0.0.1:9001 weight=1 fail_timeout=5;
# server 127.0.0.1:9002 weight=1 fail_timeout=5;
# server 127.0.0.1:9003 weight=1 fail_timeout=5;
# server 127.0.0.1:9004 weight=1 fail_timeout=5;
# server 127.0.0.1:9005 weight=1 fail_timeout=5;
# server 127.0.0.1:9006 weight=1 fail_timeout=5;
# server 127.0.0.1:9007 weight=1 fail_timeout=5;
# server 127.0.0.1:9008 weight=1 fail_timeout=5;
# server 127.0.0.1:9009 weight=1 fail_timeout=5;
# server 127.0.0.1:9010 weight=1 fail_timeout=5;
# least_conn;
# }
sendfile off;
#tcp_nopush on;
server_names_hash_bucket_size 128;
## Start: Timeouts ##
client_body_timeout 10;
client_header_timeout 10;
keepalive_timeout 30;
send_timeout 10;
keepalive_requests 10;
## End: Timeouts ##
#gzip on;
server {
listen 80;
server_name localhost;
location /stat {
rtmp_stat all;
rtmp_stat_stylesheet stat.xsl;
}
location /stat.xsl {
root nginx-rtmp-module/;
}
location /control {
rtmp_control all;
}
#charset koi8-r;
#access_log logs/host.access.log main;
## Caching Static Files, put before first location
#location ~* \.(jpg|jpeg|png|gif|ico|css|js)$ {
# expires 14d;
# add_header Vary Accept-Encoding;
#}
# For Naxsi remove the single # line for learn mode, or the ## lines for full WAF mode
location / {
#include /nginx/conf/mysite.rules; # see also http block naxsi include line
##SecRulesEnabled;
##DeniedUrl "/RequestDenied";
##CheckRule "$SQL >= 8" BLOCK;
##CheckRule "$RFI >= 8" BLOCK;
##CheckRule "$TRAVERSAL >= 4" BLOCK;
##CheckRule "$XSS >= 8" BLOCK;
root html;
index index.html index.htm;
}
# For Naxsi remove the ## lines for full WAF mode, redirect location block used by naxsi
##location /RequestDenied {
## return 412;
##}
## Lua examples !
# location /robots.txt {
# rewrite_by_lua '
# if ngx.var.http_host ~= "localhost" then
# return ngx.exec("/robots_disallow.txt");
# end
# ';
# }
#error_page 404 /404.html;
# redirect server error pages to the static page /50x.html
#
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root html;
}
# proxy the PHP scripts to Apache listening on 127.0.0.1:80
#
#location ~ \.php$ {
# proxy_pass http://127.0.0.1;
#}
# pass the PHP scripts to FastCGI server listening on 127.0.0.1:9000
#
#location ~ \.php$ {
# root html;
# fastcgi_pass 127.0.0.1:9000; # single backend process
# fastcgi_pass myLoadBalancer; # or multiple, see example above
# fastcgi_index index.php;
# fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name;
# include fastcgi_params;
#}
# deny access to .htaccess files, if Apache's document root
# concurs with nginx's one
#
#location ~ /\.ht {
# deny all;
#}
}
# another virtual host using mix of IP-, name-, and port-based configuration
#
#server {
# listen 8000;
# listen somename:8080;
# server_name somename alias another.alias;
# location / {
# root html;
# index index.html index.htm;
# }
#}
# HTTPS server
#
#server {
# listen 443 ssl spdy;
# server_name localhost;
# ssl on;
# ssl_certificate cert.pem;
# ssl_certificate_key cert.key;
# ssl_session_timeout 5m;
# ssl_prefer_server_ciphers On;
# ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
# ssl_ciphers ECDH+AESGCM:ECDH+AES256:ECDH+AES128:ECDH+3DES:RSA+AESGCM:RSA+AES:RSA+3DES:!aNULL:!eNULL:!MD5:!DSS:!EXP:!ADH:!LOW:!MEDIUM;
# location / {
# root html;
# index index.html index.htm;
# }
#}
}
- nginx默认80端口，可以进行修改。我沿用默认的，但是如果用80端口可能会出现端口占用。这里推荐这个解决方案Nginx启动失败，80端口已被占用
- 将下载好的服务器状态检查程序stat.xsl,放到nginx根目录下。如下图所示:
- 将ffmpeg进行解压后，然后添加环境变量如下图所示：
- 安装VLC
第三步 ffmpeg rtmp推流实验
- 启动nginx服务器 命令如下：
nginx.exe -c conf\nginx-win-rtmp.conf
- 启动成功后 打开cmd进行rtmp推流 命令如下：
ffmpeg -re -i mp4路径/mp4文件名.mp4 -vcodec libx264 -acodec aac -f flv rtmp://localhost:1935/live/home
- 打开VLC，点击“媒体”菜单,点击“打开网络串流”，输入以下命令并播放 :
rtmp://localhost:1935/live/home
- 这个是我的实验视频
第四步 进行HTML上摄像头rtmp推流播放
- 首先HTML代码（HTML代码引用自 H5实现RTMP流的直播小记）如下：
使用video.js实现rtmp流的直播播放
{% load static %}
<！ - 引入播放器js - >
- 创建python文件填入以下代码(rtmp推流代码引用自 python利用ffmpeg进行rtmp推流直播)：
import queue
import threading
import cv2 as cv
import subprocess as sp
class Live(object):
def __init__(self):
self.frame_queue = queue.Queue()
self.command = ""
# 自行设置
self.rtmpUrl = "rtmp://localhost:1935/live/home"
self.camera_path =0
def read_frame(self):
print("开启推流")
cap = cv.VideoCapture(0)
print('asda')
# Get video information
fps = int(cap.get(cv.CAP_PROP_FPS))
width = int(cap.get(cv.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv.CAP_PROP_FRAME_HEIGHT))
# ffmpeg command
self.command = ['ffmpeg',
'-y',
'-f', 'rawvideo',
'-vcodec', 'rawvideo',
'-pix_fmt', 'bgr24',
'-s', "{}x{}".format(width, height),
'-r', str(fps),
'-i', '-',
'-c:v', 'libx264',
'-pix_fmt', 'yuv420p',
'-preset', 'ultrafast',
'-f', 'flv',
self.rtmpUrl]
# read webcamera
while (cap.isOpened()):
ret, frame = cap.read()
if not ret:
print("Opening camera is failed")
# 说实话这里的break应该替换为：
# cap = cv.VideoCapture(self.camera_path)
# 因为我这俩天遇到的项目里出现断流的毛病
# 特别是拉取rtmp流的时候！！！！
break
# put frame into queue
self.frame_queue.put(frame)
def push_frame(self):
# 防止多线程时 command 未被设置
while True:
if len(self.command) > 0:
# 管道配置
p = sp.Popen(self.command, stdin=sp.PIPE)
break
while True:
if self.frame_queue.empty() != True:
frame = self.frame_queue.get()
# process frame
# 你处理图片的代码
# write to pipe
p.stdin.write(frame.tostring())
def run(self):
threads = [
threading.Thread(target=Live.read_frame, args=(self,)),
threading.Thread(target=Live.push_frame, args=(self,))
]
[thread.setDaemon(True) for thread in threads]
[thread.start() for thread in threads]
- 在需要处理的地方引入上面那个类,然后执行 run()方法即可,以下是我测试写的代码：
def play_video(request):
#推流
live=Live()
live.run()
return render(request,'polls/video.html',{'error_message':"ii"})
- 启动Django: 进入播放视频的html,效果如下:
