sunxiaopengsun的专栏

https://www.jianshu.com/p/0999d8351368

https://blog.csdn.net/neustar1/article/details/19344503

https://blog.csdn.net/crystalshaw/article/details/107929280

https://blog.csdn.net/dxpqxb/article/details/79654004

读取线程(read_thread)：从文件读取音视频流编码数据，放到packetqueue（链表队列）中。如果元素个数大于25并且所有包的时常大于1s则等待（stream_has_enough_packets）。解码线程(video_thread)：从packet队列中取出一帧，解码后放入frame_queue(环形缓冲区队列，重点队列容量固定)。阻塞条件:放入frame_queue前，检查队列是否已满，如满则等待读取信号的激活。 frame_queue中放入数据和取出数据都会激活信号（ SDL_..

https://www.cnblogs.com/leisure_chn/p/10301215.html

https://blog.csdn.net/lrzkd/article/details/78661841https://blog.csdn.net/lrzkd/article/details/78709186

h264 rtp时间戳 :当前时间戳(秒)*90000g711 rtp时间戳:当前时间戳(秒)*8000（采样率）

https://blog.csdn.net/lincaig/article/details/81209895

https://www.cnblogs.com/fangkm/category/670346.html

https://www.jianshu.com/p/bd10d60cebcd

https://blog.csdn.net/sonysuqin/article/details/106629343

下载完webrtc代码之后1、打开src目录下的.gn文件2、在default_args里面添加 rtc_use_h264 = true ffmpeg_branding = "Chrome" 如下： default_args = { # Webrtc does not support component builds because we are not using the # template "component" but we rely directly o...

https://blog.csdn.net/chen495810242/article/details/103474320

https://blog.csdn.net/volvet/article/details/53700049

https://www.cnblogs.com/yjbjingcha/p/7294625.html

https://blog.csdn.net/qq_34732729/article/details/105707104

https://blog.csdn.net/gucheng886/article/details/88716527

下载完webrtc代码之后1、打开src目录下的.gn文件2、在default_args里面添加 rtc_use_h264 = true ffmpeg_branding = "Chrome" 如下： default_args = { # Webrtc does not support component builds because we are not using the # template "component" but we rely directly o...

webrtc中fec的处理机制:获取一帧数据，拆分成多个rtp包，再封装成fec包（fec只有primay block）,发送到网络；之后根据rtp包生成相应数量的fec包(根据冗余度来生成对应数量的包)，再发送到网络。需要注意的是:rtp red包和fec red包都是序号连续的。所以判断一个完整帧的依据依然可以使用:获取到首包，获取到尾包，中间包连续。但因为fec的加入，导致所有原始数据的rtp包无法连续（和纯nack不会这样）。所以针对带有fec包的丢包处理机制是这样的:如果一个完整帧里面丢了原始

https://blog.csdn.net/qq_16135205/article/details/89843062

https://blog.csdn.net/Stone_OverLooking/article/details/77752076https://blog.csdn.net/Stone_OverLooking/article/details/77752068https://blog.csdn.net/Stone_OverLooking/article/details/77752054

https://blog.csdn.net/mediapro/article/details/50393685

https://blog.csdn.net/crystalshaw/article/details/83142120

https://blog.csdn.net/zjp114695092/category_8117606.html

https://blog.csdn.net/volvet/article/details/53573359

https://blog.csdn.net/qq_32019929/category_9389241.html

https://blog.csdn.net/CrystalShaw/article/details/103183607?utm_medium=distribute.pc_relevant_t0.none-task-blog-OPENSEARCH-1.channel_param&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-OPENSEARCH-1.channel_param

https://blog.csdn.net/CrystalShaw/article/details/102950002?utm_medium=distribute.pc_relevant.none-task-blog-OPENSEARCH-2.channel_param&depth_1-utm_source=distribute.pc_relevant.none-task-blog-OPENSEARCH-2.channel_param

https://blog.csdn.net/CrystalShaw/article/details/83413772

jianshu.com/p/06a27ebacec7

https://blog.csdn.net/tanningzhong/article/details/53261954

https://blog.csdn.net/oHuiJian1/article/details/106092021

https://www.jianshu.com/p/9c15ec4ba65d

https://www.jianshu.com/p/827070a8fd19

https://blog.csdn.net/crystalshaw/category_9281395.html

https://www.jianshu.com/p/a7f6ec0c9273

https://blog.csdn.net/chenFteng/article/details/77623985?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-6.nonecase&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-6.nonecase

https://blog.csdn.net/liuhongxiangm/article/details/53520479?utm_medium=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.nonecase&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.no

https://blog.csdn.net/CrystalShaw/article/details/81218394