This time, the work of the need, on the rtmp to do the FLV stream to the standard H264, AAC conversion, the server is open source project Crtmpserver, client flex writing, Video coding H264, Audio coding AAC, now some of the agreements related to the following things record.
I. Analysis of FLV data
Let's take an FLV file to briefly analyze the format of the FLV data
FLV standard document Download address http://www.cnblogs.com/chef/archive/2012/07/18
If we want to encapsulate Speex encoding into rtmp or FLV, we may encounter problems with how to populate Audiotagheader, Speex encoding supports 8k,16k,32k sample rate, but only 16k in rtmp or FLV protocol, At this point the sampling rate needs to be treated as 11.025k, that is, the packet of this byte is 0xb6
For the AAC encoding in RTMP or FLV packets, AAC sa
confirm the environment that is required to install the compilation:Make sure gcc-c++ and Openssl-devel are installed before installation (can be installed with Yum)yum-y install gcc gcc-c++ Yum Install Openssl-develinstalling nginx-rtmp under Linux requires a few of the following installation packages (the installation package version does not have a hard requirement, choose the one that suits you):1.nginx-1.13.6.tar.gz2.nginx_mod_h264_streaming-2.27
Use FFmpeg to push rtmp streams under Windows platformsIt's customary to use ffmpeg to simulate push rtmp streaming under Linux, but the home computer is a Windows system that needs to use the bandwidth in the home to test the performance of the streaming media server. So we've studied how to push the stream quickly in Windows systems.First Download Install FFmpegDownload the FFmpeg compression package unde
The ninth part---Project ffmpeg command parsingYou have seen the ffmpeg on the arm Development Board to give the following information:usage:ffmpeg [Options] [[infile Options]-I infile] ... {[outfile options] outfile} ...Refer to the previous command to perform the same task on the PC Linux operating systemFfmpeg-i rtsp://admin:[email protected]-vcodec copy-acodec copy-s 640x480-f flv rtmp://192.168.1.102:1935/hls/te St2Do a detailed explanation here
1 Why use flash ActionScript to implement the RTMP protocol to publish or play media streams, play media streaming, protocol controllable, such as the number of streaming media encryption, mixing and so on.2 core ideas using the flash socket to establish a TCP binary transmission channel, the binary data is mainly RTMP protocol package and audio and video data, play audio and video using NetStream appendbyt
format, and the result was shocking:The above test.264 size is 6.2M, converted to. yuv format after the size of 1.6G, really took a surprise. It's too compressed.2. Test the performance of the streaming media serverThe most critical place to be, success or failure stake.(1) Open Nginx[Email protected]:/data/misc/nginx-rtmp/sbin #./nginx-p/data/misc/nginx-rtmp-c conf/nginx.conf(2) FFmpeg push to Nginx[Email
With the FMS/red5 configuration, use flvplayerback to test the rtmp protocol. To further use netstream for development, we found that netstream. Play only supports HTTP and file protocols (refer to the Flash help ).Check the Internet for YouTube, 6rooms, and 56, and find that the playing protocols they use are also HTTP. As the Streaming Media Server, the FMS/red5 has been specially optimized. But why are these websites not using the
This article from csdn ucser, http://blog.csdn.net/perfectpdl reprinted to indicate the source, thank you!
I have created a freeswitch learning and communication group, 45211986. welcome to join.
Freeswtich can be used as the rtmp and SIP gateway of the Streaming Media Protocol. It can communicate with the SIP video phone through flash in a web browser. This function can be used on the browser side for similar click2call or online video communi
Tell us today about the crash when Adobe Media Encoder cc 2015 starts,Let's look at the phenomenon first. That's it,Then I found a lot of ways on the Internet, some methods are outdated, or because now the new version of Adobe Media Encoder CC 2015 has not supported the online methods. Here are some of the methods I've found, and the way I've solved the problem myself, to share with you.Let's take a look at
My blog tells about WMS9, can implement streaming media server, but without WME (Windows Media Encoder) support, always feel the lack of something, Here's how to get the device video audio stream through the. NET implementation WME and push it to remote (of course, local) streaming media broadcast publishing point.
First, download the WME9 SDK, installation completed: This step is to experience the main WME can achieve those functions.
The reader can
the generation of self-encoder against network Aegan
1 Introduction
Autoencoder is a good special functions extraction model, however, if we use Autoencoder's decoder part as a generator, the effect is not good, the main reason is that we extract the H itself is a heuristic feature, without any explicit meaning, So when we use decoder to do generation, we can't give a meaningful distribution of H.Gan is the most good generation model, there is also
The project name of the encoder in the entire HM solution is Tappencoder, and the entry point function is located in the Encmain.cpp file:1 intMainintargcChar*argv[])2 {3 tappenctop ctappenctop;4 5 //Print Information6fprintf (stdout,"\ n" );7fprintf (stdout,"HM software:encoder Version [%s] (including REXT)", nv_version);8 fprintf (stdout, nvm_onos);9 fprintf (stdout, nvm_compiledby);Ten fprintf (stdout, nvm_bits); Onefprintf (stdout,"\ n" ); A -
8-3 encoder with priority in each node
Principle:
In a digital system, several parts may send service requests at the same time, but at the same time, only one of them can send a permitted operation signal. Therefore, you must set priorities for the operation permitted by these control objects, that is, the priority level.
The encoder has 8 inputs and 3 outputs. There is also an input enable EI, output ena
So far, supervised learning of neural networks has been described, that is, learning samples are labeled. Now let's assume we have a training set without tags, where. an automatic encoder is a neural network that uses reverse propagation for unsupervised learning. The purpose of learning is to make the output value equal to the input value. the following is an automatic Encoder:
The automatic
Intel Sandy-bridge HW h264 EncoderGOP(Group of pictures) settings
You can set h264 encoder parameters by referring to the sample code provided by the Intel Media SDK:
Intel (r) Media SDK encoding sampleUsage: sample_encode.exe h264 | MPEG2 [Options]-I inputyuvfile-O outputencodedfiLe-W width-H heightOptions:[-Nv12]-input is in nv12 color format, if not specified yuv420 is expected[-TFF | BFF]-input stream is interlaced, top | bottom fielf first, if n
These two days in the attention model, looked at the next several answers, many people have recommended an article neural machine translation by jointly learning to Align and Translate I looked down, The feeling is very good, inside also probably elaborated the Encoder-decoder (coding) model concept, as well as the traditional RNN realization. Then also elaborated own attention model. I looked at it and made some excerpts of it, and wrote it in the fo
Windows Media Encoder Streaming Media Production Application
Windows Media Encoder is a powerful streaming media production tool used to convert live or pre-recorded video and audio files into Windows Media files and streams. With the perfect combination of the acquisition card and encoder, you can easily compress live videos and audio source signals int
MP3 sound quality close to kbps, and the bandwidth of KB can meet the listening needs of 8-bit listeners for 64 Kbps WMA. If you have 10 Mbps of bandwidth and provide 40 kbps of stereo broadcast, enough to build a small digital radio station. An Internet IP address is also involved. If the PC you use to establish a radio station does not have an independent Internet IP address, it cannot broadcast the whole Internet. For more information about how Intranet radio stations can broadcast to the In
Origin: Automatic encoderSingle automatic encoder, at best, is a hardened patch version of PCA, only one time not enjoyable.So Bengio and other people in the 2007 greedy layer-wise Training of Deep Networks,Modeled after the dbn of stacked RBM, stacked autoencoder is put forward, which adds Reggie to the application of non-supervised learning in the deep network.This has to be referred to as "layered initialization" (Layer-wise pre-training), with the
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