ffmpeg: “Impossible to convert between the formats” when using Cuda hardware acceleration
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I'm using ffmpeg from the command line on Windows 10 and I wanted to gave Cuda a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4
Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-cuda enhanced command is this one:
ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4
Then, I added the cuda-related flags to the command like this.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4
But it won't work. I get this error.
Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0
I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with Cuda? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.
Any advice on how I should modify the command to make it work on the GPU?
Thanks.
ffmpeg
asked Nov 11 at 22:31
MorenoGentili
322
add a comment |
up vote
0
down vote
favorite
I'm using ffmpeg from the command line on Windows 10 and I wanted to gave Cuda a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4
Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-cuda enhanced command is this one:
ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4
Then, I added the cuda-related flags to the command like this.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4
But it won't work. I get this error.
Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0
I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with Cuda? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.
Any advice on how I should modify the command to make it work on the GPU?
Thanks.
ffmpeg
asked Nov 11 at 22:31
MorenoGentili
322
The overlay filter is s/w so decoded frames from the GPU have to be transferred to system RAM first and then after overlay sent back to GPU for h/w encoding.
– Gyan
Nov 12 at 8:57
Thanks, how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda?
– MorenoGentili
Nov 12 at 10:23
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I'm using ffmpeg from the command line on Windows 10 and I wanted to gave Cuda a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4
Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-cuda enhanced command is this one:
ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4
Then, I added the cuda-related flags to the command like this.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4
But it won't work. I get this error.
Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0
I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with Cuda? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.
Any advice on how I should modify the command to make it work on the GPU?
Thanks.
ffmpeg
asked Nov 11 at 22:31
MorenoGentili
322
I'm using ffmpeg from the command line on Windows 10 and I wanted to gave Cuda a try to improve execution times. A simple cut command like this works fine and its execution time is reduced by 60-70%. Awesome.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -ss 00:00:10 -i in.mp4 -c:v h264_nvenc out.mp4
Now I tried to use the -filter_complex flag to overlay, fade and translate a png image over a video. The working non-cuda enhanced command is this one:
ffmpeg -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), (t-30)*10, NAN)'" -movflags +faststart out.mp4
Then, I added the cuda-related flags to the command like this.
ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in.mp4 -loop 1 -t 75 -i overlay.png -filter_complex "[1:v]fade=t=in:st=30:d=0.3:alpha=1,fade=t=out:st=35.7:d=0.3:alpha=1[png1];[0:v][png1]overlay=x='if(gte(t,30), 60-tanh((t-30)*30/5)*60, NAN)'" -movflags +faststart -c:v h264_nvenc out.mp4
But it won't work. I get this error.
Impossible to convert between the formats supported by the filter 'graph 0 input from stream 0:0' and the filter 'auto_scaler_0'
Error reinitializing filters!
Failed to inject frame into filter network: Function not implemented
Error while processing the decoded data for stream #0:0
I don't even know what it means. Can I actually run ANY ffmpeg command on the GPU with Cuda? I've found some information about the hwupload_cuda flag but I'm not sure if I should use it and how. My attempts have failed so far.
Any advice on how I should modify the command to make it work on the GPU?
Thanks.
ffmpeg
ffmpeg
asked Nov 11 at 22:31
MorenoGentili
322
asked Nov 11 at 22:31
MorenoGentili
322
asked Nov 11 at 22:31
MorenoGentili
322
asked Nov 11 at 22:31
MorenoGentili
322
asked Nov 11 at 22:31
MorenoGentili
322
322
The overlay filter is s/w so decoded frames from the GPU have to be transferred to system RAM first and then after overlay sent back to GPU for h/w encoding.
– Gyan
Nov 12 at 8:57
Thanks, how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda?
– MorenoGentili
Nov 12 at 10:23
add a comment |
The overlay filter is s/w so decoded frames from the GPU have to be transferred to system RAM first and then after overlay sent back to GPU for h/w encoding.
– Gyan
Nov 12 at 8:57
Thanks, how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda?
– MorenoGentili
Nov 12 at 10:23
The overlay filter is s/w so decoded frames from the GPU have to be transferred to system RAM first and then after overlay sent back to GPU for h/w encoding.
– Gyan
Nov 12 at 8:57
The overlay filter is s/w so decoded frames from the GPU have to be transferred to system RAM first and then after overlay sent back to GPU for h/w encoding.
– Gyan
Nov 12 at 8:57
Thanks, how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda?
– MorenoGentili
Nov 12 at 10:23
Thanks, how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda?
– MorenoGentili
Nov 12 at 10:23
add a comment |
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The overlay filter is s/w so decoded frames from the GPU have to be transferred to system RAM first and then after overlay sent back to GPU for h/w encoding.
– Gyan
Nov 12 at 8:57
Thanks, how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda?
– MorenoGentili
Nov 12 at 10:23