未知选项“禁用共享”当尝试在 Windows 上构建具有 NVIDIA 硬件加速支持的 ffmpeg 时
按照此处的文档操作： https:// docs.nvidia.com/video-technologies/video-codec-sdk/ffmpeg-with-nvidia-gpu/
在 mingw64 环境中，我导航到ffmpeg目录并执行以下命令：
./configure --enable-nonfree --disable-shared --enable-cuda-nvcc --enable-libnpp --toolchain=msvc --extra-cflags=-I../nv_sdk --extra-ldflags=-libpath:../nv_sdk
不幸的是，这会输出以下内容：
未知选项“–disable-shared”。请参阅 ./configure --help 了解可用信息 选项。
我尝试跳到下一步，看看这个错误是否只是一个可以忽略的警告，但从 mingw64.exe 环境中执行 make -j 8 会产生以下输出：
Makefile:180: /tests/Makefile: 没有这样的文件或目录 make: *** 没有 规则来创建目标'/tests/Makefile'。停止。
显然，我在构建支持 nVidia 硬件加速的 ffmpeg 版本时遇到了麻烦。我想知道他们的文档是否可能已经过时了。
是否有可用的二进制文件可以让我跳过此步骤？或者，有没有办法使用 GPU 硬件加速通过标准 Windows ffmpeg 构建进行编码？
我对这个二进制文件很陌生......谢谢。
Following the docs here: https://docs.nvidia.com/video-technologies/video-codec-sdk/ffmpeg-with-nvidia-gpu/
Within the mingw64 environment, I have navigated to the ffmpeg directory and executed the following command:
./configure --enable-nonfree –disable-shared --enable-cuda-nvcc
--enable-libnpp –-toolchain=msvc --extra-cflags=-I../nv_sdk --extra-ldflags=-libpath:../nv_sdk
Unfortunately, this outputs the following:
Unknown option "–disable-shared". See ./configure --help for available
options.
I tried to skip to the next step and see if this error was just a warning that could be ignored, but executing make -j 8 from the mingw64.exe environment produces the following output:
Makefile:180: /tests/Makefile: No such file or directory make: *** No
rule to make target '/tests/Makefile'. Stop.
Clearly, I am having trouble building a version of ffmpeg that supports nVidia hardware acceleration. I am wondering if their docs have become outdated possibly.
Is there a binary available that lets me skip this step? Alternatively, is there a way to use GPU hardware acceleration for encoding with the standard windows ffmpeg build?
I am pretty new to this binary...thank you.
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您错过了
–disable-shared中的破折号，因此它是-–disable-shared。无论如何，编码操作的瓶颈是由
-loop选项强制进行的连续图像解码。相反，请使用环路滤波器。You missed a dash in
–disable-shared, so it's-–disable-shared.In any case, the bottleneck in your encoding op is the continuous image decode forced by
-loopoption. Instead, use the loop filter.