Hello, I will share you ffmpeg tests. Please refer the following results.
*1. Use Sw-decder, Hw-Encoder with gpu 0* > ffmpeg -y -i ./input.mp4 -c:v h264_nvenc -gpu 0 -c:a copy ./output.mp4 +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 69091 C ffmpeg 167MiB | +-----------------------------------------------------------------------------+ *2. Use Sw-decoder, Hw-Encoder with gpu 1* > ffmpeg -y -i ./input.mp4 -c:v h264_nvenc -gpu 1 -c:a copy ./output.mp4 +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 1 68417 C ffmpeg 167MiB | +-----------------------------------------------------------------------------+ *3. Use Sw-decoder, Hw-Encoder with gpu 0 and scale_npp* > ffmpeg -y -i ./input.mp4 -filter_complex "[0:v]hwupload_cuda,scale_npp=w=960:h=540[map0]" -map "[map0]" -c:v h264_nvenc -gpu 0 -c:a copy ./output.mp4 +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 72208 C ffmpeg 147MiB | +-----------------------------------------------------------------------------+ *4. Use Sw-decoder, Hw-Encoder with gpu 1 and scale_npp* > ffmpeg -y -i ./input.mp4 -filter_complex "[0:v]hwupload_cuda,scale_npp=w=960:h=540[map0]" -map "[map0]" -c:v h264_nvenc -gpu 1 -c:a copy ./output.mp4 +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 71589 C ffmpeg 147MiB | +-----------------------------------------------------------------------------+ Please look the number 4 result. Process GPU is only 0 even if Hw-encoder have gpu 1 option. I wonder if Gpu devices can not be selected if hwupload_cuda filter is present. Thanks BRs, 2017-11-05 3:50 GMT+09:00 James Girotti <james.giro...@gmail.com>: > On Fri, Nov 3, 2017 at 7:48 PM, Baek Seung Hoon <seung51h...@gmail.com> > wrote: > > > Hello, > > Thanks to your reply :-) > > > > As your mentions, Hw decoder already has resize option. > > Why I use scale_npp filter with Sw decoder is Hw decoder(=cuvid) couldn't > > read some of video files while Sw decoder(=h264) could read it. > > So I choose a decoder this way -> use the Sw decoder if Hw decoder failed > > read video file. > > > > Like I mentioned; not really a problem to use sw-decoder. You should use > whatever you want/need. > > > > Your reply message is helpful to me ^^. > > But I have a problem what same as previous mail. > > In case that I use both Sw decoder and Hw encoder with below command, and > > Only GPU0 encoder have working. > > I did change option as -gpu 0 or -gpu 1, it doesn't affect. > > > > Have you tried using sw-decoder->hw-decoder without scale-npp? Something > like: > > ffmpeg -i ./input.mp4 -c:v h264_nvenc -gpu 1 -c:a copy ./output.mp4 > > Does that use the correct GPU? > > I assume that "hwupload_cuda" have a unknown bug because "gpu" option was > > works well when I remove "hwupload_cuda". > > > > I think it's uploading to GPU 0 by default. There is an option 'device' for > hwupload_cuda. Could you try specifying the device for hwupload_cuda? > _______________________________________________ > ffmpeg-user mailing list > ffmpeg-user@ffmpeg.org > http://ffmpeg.org/mailman/listinfo/ffmpeg-user > > To unsubscribe, visit link above, or email > ffmpeg-user-requ...@ffmpeg.org with subject "unsubscribe". > _______________________________________________ ffmpeg-user mailing list ffmpeg-user@ffmpeg.org http://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email ffmpeg-user-requ...@ffmpeg.org with subject "unsubscribe".
