在 ffmpeg 上启用缓存以记录流式传输
Enable cache on ffmpeg to record streaming
现在我正在使用steamlink和ffmpeg来录制流并将它们保存到文件中,很多时候保存的视频文件有很多延迟。我找到了这个 link https://www.reddit.com/r/Twitch/comments/62601b/laggy_stream_on_streamlinklivestreamer_but_not_on/
他们声称延迟问题是由于未在播放器上启用缓存而发生的。
我尝试放置选项 -hls_allow_cache allowcache -segment_list_flags cache
结果是 ffmpeg 进程开始或多或少 8 秒,之后它结束并立即再次启动而不返回视频文件,如果我不放置这两个选项视频是记录正确,但大部分时间都有一些延迟。
显然,如果我从浏览器访问流媒体,我没有延迟问题
这是代码
from streamlink import Streamlink, NoPluginError, PluginError
streamlink = Streamlink()
#this code is just a snippet, it is inside a while loop to restart the process
try:
streams = streamlink.streams(m3u8_url)
stream_url = streams['best'].url
#note hls options not seem to work
ffmpeg_process = Popen(
["ffmpeg", "-hide_banner", "-loglevel", "panic", "-y","-hls_allow_cache", "allowcache", "-segment_list_flags", "cache","-i", stream_url, "-fs", "10M", "-c", "copy",
"-bsf:a", "aac_adtstoasc", fileName])
ffmpeg_process.wait()
except NoPluginError:
print("noplugin")
except PluginError:
print("plugin")
except Exception as e:
print(e)
启用缓存并尽可能限制延迟的最佳选项是什么?
您可以阅读 FFmpeg StreamingGuide 以了解有关延迟的更多详细信息。例如,您有
an option -fflags nobuffer
which might possibly help, usually for
receiving streams reduce latency.
你可以阅读 here 关于 nobuffer
Reduce the latency introduced by buffering during initial input
streams analysis.
我简单的解决了卡顿问题,避免使用ffmpeg保存视频而是直接使用streamlink写一个.mp4文件
streamlink = Streamlink()
try:
streams = streamlink.streams(m3u8_url)
stream_url = streams['480p']
fd = stream_url.open()
out = open(fileName,"wb")
while True:
data = fd.read(1024)
if data is None or data == -1 or data == 0:
break
else:
out.write(data)
fd.flush()
fd.close()
out.flush()
out.close()
except NoPluginError:
#handle exception
except PluginError:
#handle exception
except StreamError:
#handle exception
except Exception as e:
#handle exception
现在我正在使用steamlink和ffmpeg来录制流并将它们保存到文件中,很多时候保存的视频文件有很多延迟。我找到了这个 link https://www.reddit.com/r/Twitch/comments/62601b/laggy_stream_on_streamlinklivestreamer_but_not_on/
他们声称延迟问题是由于未在播放器上启用缓存而发生的。
我尝试放置选项 -hls_allow_cache allowcache -segment_list_flags cache
结果是 ffmpeg 进程开始或多或少 8 秒,之后它结束并立即再次启动而不返回视频文件,如果我不放置这两个选项视频是记录正确,但大部分时间都有一些延迟。
显然,如果我从浏览器访问流媒体,我没有延迟问题
这是代码
from streamlink import Streamlink, NoPluginError, PluginError
streamlink = Streamlink()
#this code is just a snippet, it is inside a while loop to restart the process
try:
streams = streamlink.streams(m3u8_url)
stream_url = streams['best'].url
#note hls options not seem to work
ffmpeg_process = Popen(
["ffmpeg", "-hide_banner", "-loglevel", "panic", "-y","-hls_allow_cache", "allowcache", "-segment_list_flags", "cache","-i", stream_url, "-fs", "10M", "-c", "copy",
"-bsf:a", "aac_adtstoasc", fileName])
ffmpeg_process.wait()
except NoPluginError:
print("noplugin")
except PluginError:
print("plugin")
except Exception as e:
print(e)
启用缓存并尽可能限制延迟的最佳选项是什么?
您可以阅读 FFmpeg StreamingGuide 以了解有关延迟的更多详细信息。例如,您有
an option
-fflags nobuffer
which might possibly help, usually for receiving streams reduce latency.
你可以阅读 here 关于 nobuffer
Reduce the latency introduced by buffering during initial input streams analysis.
我简单的解决了卡顿问题,避免使用ffmpeg保存视频而是直接使用streamlink写一个.mp4文件
streamlink = Streamlink()
try:
streams = streamlink.streams(m3u8_url)
stream_url = streams['480p']
fd = stream_url.open()
out = open(fileName,"wb")
while True:
data = fd.read(1024)
if data is None or data == -1 or data == 0:
break
else:
out.write(data)
fd.flush()
fd.close()
out.flush()
out.close()
except NoPluginError:
#handle exception
except PluginError:
#handle exception
except StreamError:
#handle exception
except Exception as e:
#handle exception