BTW: I also read on the “help” information, that it is possible to pass “Time Stamps”,
--copy-timestamp <st> <fps> Enable copy timestamp with start timestamp(st) in seconds for decode fps(fps) (for input-nalu mode)
NOTE: copy-timestamp used to demonstrate how timestamp can be associated with an individual H264/H265 frame to achieve video-synchronization
But there is not documentation available in how to achieve this…
Hi rodolfop9lt0,
This topic is about ffmpeg with hardware acceleration, which is confirmed not supported.
Your case looks different and please make a new post.
I will post a “new” topic post, as I’m sure there is more people like me who is very frustrated to look and chase for concrete answers in how-to-use the multimedia capabilities of your embryonic product.
On the end of this video: Raspberry Pi 4B vs Jetson Nano - YouTube it says that NVIDIA sent email to him confirming plans to support ffmpeg. How is it going? I’m very excited to use ffmpeg, please do it!!!
Hi,
We are still checking to support it.
For clearness, because there are independent hardware encoding/decoding blocks(NVENC and NVDEC) on Jetson Nano, the hardware acceleration will be implemented on the hardware blocks, not on GPU.
I would also like to know if your still working on getting ffmpeg to use the hardware as we have an application which the jetson would fit perfectly but we need to be able to encode in hevc to make the swap.
It will be great to see hardware scaling into this project, unfortunately my C/C++ Skills are not to the level required, but I can help in other ways to keep this project going…
Also, I just reported a couple of bugs that came from 32.2 and 32.2.1.
Your effort is also affected by those two bugs H.264 bFrames timestamps and H.264i Video Decoding wrong timestamps as it looks they are interpreted as a 2X or fields rather than considering the new rate after converted to progressive video.
In any case. THANK YOU SO much! and again, please let me know how I can help!
Hey guys- would any of you have happened to also try running any of the cuda hardware filters on the nano? I’ve yet to receive my nano in the mail (unfortunately looks like it more than 2 weeks away)