We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
使用 N卡配合FFmpeg进行视频编码有着并发数的限制,https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder,可以看到,GeForce 系列各种显卡大部分限制为 3 路并发。这个限制貌似并不是硬件能力的限制,而是Nvidia为了让更多的人购买高端系列的显卡而做的手脚。 有同志已经制作了补丁,可以打破这一限制,https://github.com/keylase/nvidia-patch 。使用这个补丁后,我自己在公司服务器上使用,现在同时进行19路编解码,连续两周,还很稳定。
The text was updated successfully, but these errors were encountered:
从哪里查看gpu解码的fps数据呢?
还有 假设:1080ti h264 的解码为200fps,然后它有一个解码核心,那么是不是可以理解为:解码fps为25的视频,它能带动8路视频?
如果超过了8路视频,代码是报错还是说继续解码,但是延迟会增加?
Sorry, something went wrong.
No branches or pull requests
使用 N卡配合FFmpeg进行视频编码有着并发数的限制,https://developer.nvidia.com/video-encode-decode-gpu-support-matrix#Encoder,可以看到,GeForce 系列各种显卡大部分限制为 3 路并发。这个限制貌似并不是硬件能力的限制,而是Nvidia为了让更多的人购买高端系列的显卡而做的手脚。
有同志已经制作了补丁,可以打破这一限制,https://github.com/keylase/nvidia-patch 。使用这个补丁后,我自己在公司服务器上使用,现在同时进行19路编解码,连续两周,还很稳定。
The text was updated successfully, but these errors were encountered: