viseron
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roflcoopter
yuv420p & h264_nvmpi missing
I have a Jetson Nano 2Gb and about 5 months ago I successfully ran Viseron - which I think is one of the best NVR programs with facial recognition. Then I had to uninstall it to make space for new projects.
Now, however, I could use it but whatever version I download tells me I'm missing a decoder. I haven't followed all the comments, so excuse me for asking a question that has already been asked. Is there anything I can do to fix this and get it working? Thanks!
I would like to stay at the moment on the stable and released version, but I wanted to try also the 2.0 out of curiosity
roflcoopter/jetson-nano-viseron:latest roflcoopter/jetson-nano-viseron:dev
[2022-02-15 15:10:29] [ERROR ] [viseron.camera.stream.soggiorno] - [h264_nvmpi @ 0x55cca66ff0] Invalid Pix_FMT for NVMPI Only yuv420p is supported
[2022-02-15 15:10:29] [ERROR ] [viseron.camera.stream.soggiorno] - Error while opening decoder for input stream #0:0 : Invalid data found when processing input
[2022-02-15 15:10:29] [ERROR ] [viseron.camera.soggiorno] - FFmpeg process has exited
Version 2.0
roflcoopter/aarch64-viseron:modularize
[2022-02-15 11:34:55] [ERROR ] [viseron.components.ffmpeg.stream.soggiorno] - Unknown decoder 'h264_nvmpi'
I am refactoring the Nano image, as the current one is very hacky and thus unstable.
To solve this temporarily you can add codec: h264 to the camera to run without hardware acceleration.
I need someone to run some tests for me on the new builds, could you be of help?
I need someone to run some tests for me on the new builds, could you be of help?
Absolutely yes, helpful and happy to help you! As I said, I have an Nvidia Jetson Nano Developer Kit 2gb with the original Jetpack operating system. Here the Features of my Device: https://developer.nvidia.com/embedded/jetson-nano-developer-kit
Do I have to subscribe to a particular channel/thread ?
Great! Ill just ping you in this issue.
Could you run this and show me the output?
~~docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:test ffmpeg -hwaccels~~
Scratch that, can you try this image instead?
docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:1.3 ffmpeg -hwaccels
[ ... ]
Digest: sha256:6066604c713f6c21c7fb3e07c01193389eb606d66c9d3591df114208327b6b85
Status: Downloaded newer image for roflcoopter/jetson-nano-base:1.3
ffmpeg version n4.2.2-15-g6878ea5a44 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 7 (Ubuntu/Linaro 7.5.0-3ubuntu1~18.04)
configuration: --prefix=/usr --enable-nvv4l2dec --enable-libv4l2 --enable-shared --extra-libs='-L/usr/lib/aarch64-linux-gnu/tegra -lnvbuf_utils' --extra-cflags='-I /usr/src/jetson_multimedia_api/include/'
libavutil 56. 31.100 / 56. 31.100
libavcodec 58. 54.100 / 58. 54.100
libavformat 58. 29.100 / 58. 29.100
libavdevice 58. 8.100 / 58. 8.100
libavfilter 7. 57.100 / 7. 57.100
libswscale 5. 5.100 / 5. 5.100
libswresample 3. 5.100 / 3. 5.100
Hardware acceleration methods:
dadaloop@dadaloop-desktop:~$
Interesting.
What about this?
docker run -it --rm --runtime=nvidia --privileged roflcoopter/jetson-nano-base:1.3 ffmpeg -hwaccels
And this:
docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:1.3 ffmpeg -codecs
docker run -it --rm --runtime=nvidia --privileged roflcoopter/jetson-nano-base:1.3 ffmpeg -hwaccels
ffmpeg version n4.2.2-15-g6878ea5a44 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 7 (Ubuntu/Linaro 7.5.0-3ubuntu1~18.04)
configuration: --prefix=/usr --enable-nvv4l2dec --enable-libv4l2 --enable-shared --extra-libs='-L/usr/lib/aarch64-linux-gnu/tegra -lnvbuf_utils' --extra-cflags='-I /usr/src/jetson_multimedia_api/include/'
libavutil 56. 31.100 / 56. 31.100
libavcodec 58. 54.100 / 58. 54.100
libavformat 58. 29.100 / 58. 29.100
libavdevice 58. 8.100 / 58. 8.100
libavfilter 7. 57.100 / 7. 57.100
libswscale 5. 5.100 / 5. 5.100
libswresample 3. 5.100 / 3. 5.100
Hardware acceleration methods:
dadaloop@dadaloop-desktop:~$
docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:1.3 ffmpeg -codecs codecs.txt
And this?
docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:1.3 ffmpeg -decoders
Thanks!
Do you have an h264 camera to test with?
If so please see if this works or not (replace <INSERT CAMERA URL HERE> with ur camera URL:
docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:1.3 ffmpeg -c:v h264_nvv4l2dec -rtsp_transport tcp -i <INSERT CAMERA URL HERE> -f segment -segment_time 5 -segment_format mp4 -c copy -an test%d.mp4
If it doesnt work you can try with privileged
docker run -it --rm --runtime=nvidia --privileged roflcoopter/jetson-nano-base:1.3 ffmpeg -c:v h264_nvv4l2dec -rtsp_transport tcp -i <INSERT CAMERA URL HERE> -f segment -segment_time 5 -segment_format mp4 -c copy -an test%d.mp4
sudo docker run -it --rm --runtime=nvidia roflcoopter/jetson-nano-base:1.3 ffmpeg -c:v h264_nvv4l2dec -rtsp_transport tcp -i rtsp://[xxxx]:[xxxxx]@192.168.1.122:554/Streaming/Channels/101 -f segment -segment_time 5 -segment_format mp4 -c copy -an test%d.mp4
ffmpeg version n4.2.2-15-g6878ea5a44 Copyright (c) 2000-2019 the FFmpeg developers
built with gcc 7 (Ubuntu/Linaro 7.5.0-3ubuntu1~18.04)
configuration: --prefix=/usr --enable-nvv4l2dec --enable-libv4l2 --enable-shared --extra-libs='-L/usr/lib/aarch64-linux-gnu/tegra -lnvbuf_utils' --extra-cflags='-I /usr/src/jetson_multimedia_api/include/'
libavutil 56. 31.100 / 56. 31.100
libavcodec 58. 54.100 / 58. 54.100
libavformat 58. 29.100 / 58. 29.100
libavdevice 58. 8.100 / 58. 8.100
libavfilter 7. 57.100 / 7. 57.100
libswscale 5. 5.100 / 5. 5.100
libswresample 3. 5.100 / 3. 5.100
[rtsp @ 0x55918cb000] Missing PPS in sprop-parameter-sets, ignoring
Input #0, rtsp, from 'rtsp://[xxx]:[xxxx]@192.168.1.122:554/Streaming/Channels/101':
Metadata:
title : Media Presentation
Duration: N/A, start: 0.000000, bitrate: N/A
Stream #0:0: Video: h264 (Main), yuvj420p(pc, bt709, progressive), 1280x720, 25 tbr, 90k tbn, 180k tbc
Stream #0:1: Audio: aac (LC), 16000 Hz, mono, fltp
[segment @ 0x55918fb740] Opening 'test0.mp4' for writing
Output #0, segment, to 'test%d.mp4':
Metadata:
title : Media Presentation
encoder : Lavf58.29.100
Stream #0:0: Video: h264 (Main), yuvj420p(pc, bt709, progressive), 1280x720, q=2-31, 25 tbr, 90k tbn, 90k tbc
Stream mapping:
Stream #0:0 -> #0:0 (copy)
Press [q] to stop, [?] for help
[segment @ 0x55918fb740] Timestamps are unset in a packet for stream 0. This is deprecated and will stop working in the future. Fix your code to set the timestamps properly
[segment @ 0x55918fb740] Opening 'test1.mp4' for writingrate=N/A speed=1.31x
[segment @ 0x55918fb740] Opening 'test2.mp4' for writingrate=N/A speed=1.18x
[segment @ 0x55918fb740] Opening 'test3.mp4' for writingrate=N/A speed=1.13x
[segment @ 0x55918fb740] Opening 'test4.mp4' for writingrate=N/A speed= 1.1x
[ .... ]
I’m glad. What was the problem? How can I solve ? Or do you have to solve at the code level ? Thank you!
This is using a new way of installing ffmpeg for the nano, so i need to fix it in the image. Will include it in v2 soon, ill ping you there when its ready
Any Way to help? I used to run viseron on Jetson Nano 2G and now i am receiving the similar issues with some of the issues mainly at the moment : NvMMLiteOpen : Block : BlockType = 261 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 261
Any Way to help? I used to run viseron on Jetson Nano 2G and now i am receiving the similar issues with some of the issues mainly at the moment : NvMMLiteOpen : Block : BlockType = 261 NVMEDIA: Reading vendor.tegra.display-size : status: 6 NvMMLiteBlockCreate : Block : BlockType = 261
Sorry you're having issues as well. dadaloop82 offered to give me access to his Nano so i can run some tests
if it helps i could to the same i guess, although i would prefer the "ping& pong" approach like we did in the early stages of the nano developent where you gave us instructions and viewed to corresponding logs.
Closed in v2, you can use the gstreamer component instead of ffmpeg now