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文章目录[隐藏] 前言升级内核固件设置Docker硬件（可选）开启硬件加速 前言
尝试在树莓派上装Emby，然后转码播放1080P的视频，发现非常非常非常的卡，一看CPU....全满了： 但是RaspberryPi本身硬件是支持硬解码的，所以需要做一些配置来开启功能。 升级内核固件 pi@raspberrypi:/ $ sudo rpi-update *** Raspberry Pi firmware updater by Hexxeh, enhanced by AndrewS and Dom *** Performing self-update % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 18058 100 18058 0 0 59794 0 --:--:-- --:--:-- --:--:-- 59794 *** Relaunching after update *** Raspberry Pi firmware updater by Hexxeh, enhanced by AndrewS and Dom *** We're running for the first time *** Backing up files (this will take a few minutes) *** Backing up firmware *** Backing up modules 4.19.97-v7l+ ############################################################# WARNING: 'rpi-update' updates to pre-releases of the linux kernel tree and Videocore firmware. 'rpi-update' should only be used if there is a specific reason to do so - for example, a request by a Raspberry Pi engineer. DO NOT use 'rpi-update' as part of a regular update process. ############################################################## Would you like to proceed? (y/N) *** Downloading specific firmware revision (this will take a few minutes) % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 168 100 168 0 0 1083 0 --:--:-- --:--:-- --:--:-- 1083 100 115M 0 115M 0 0 2911k 0 --:--:-- 0:00:40 --:--:-- 3233k *** Updating firmware *** Updating kernel modules *** depmod 4.19.108-v8+ *** depmod 4.19.108-v7l+ *** depmod 4.19.108+ *** depmod 4.19.108-v7+ *** Updating VideoCore libraries *** Using HardFP libraries *** Updating SDK *** Running ldconfig *** Storing current firmware revision *** Deleting downloaded files *** Syncing changes to disk *** If no errors appeared, your firmware was successfully updated to b524f5e7ace11ed7500fc39e63247fe9756fbddf *** A reboot is needed to activate the new firmware这里先不要重启，先修改一下显存大小，在sudo nano /boot/config.txt中增加一行： gpu_mem=320然后重启树莓派，重启后查看一下GPU显存的情况： pi@raspberrypi:~ $ vcgencmd get_mem arm && vcgencmd get_mem gpu arm=704M gpu=320M 设置Docker硬件（可选）另外volume也要加上这个：/opt/vc/lib:/opt/vc/lib 开启硬件加速 之后验证一下，在JellyFin后台Dashboard > Logs里面点击ffmpeg-transcode日志，查看Stream mapping信息： Stream mapping: Stream #0:0 (hevc) -> overlay:main (graph 0) Stream #0:4 (pgssub) -> scale (graph 0) scale (graph 0) -> Stream #0:0 (h264_omx) Stream #0:1 -> #0:1 (dts (dca) -> mp3 (libmp3lame)) 可以看到使用了h264_omx硬件加速~实际CPU的压力也小了很多 This article is under CC BY-NC-SA 4.0 license. Please quote the original link：https://www.liujason.com/article/656.html Like (2) |
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