HI，
使用如下命令，网路camera能正常出图，但是软件编解码，导致摄像头会很卡，没办法使用，请问一下有没有什么办法，感谢
gst-launch-1.0 uridecodebin uri=rtsp://admin:ZKCD1234@192.168.1.64:554 latency=0 ! nv3dsink
Hi,
Please set the environment variable and check if hardware decoder is used:
$ export GST_DEBUG=*FACTORY*:4
Hi,
Please try the pipeline and see if hardware decoder can decode the stream:
$ gst-launch-1.0 rtspsrc location="rtsp://admin:ZKCD1234@192.168.1.64:554" ! rtph265depay ! h265parse ! nvv4l2decoder ! "video/x-raw(memory:NVMM)" ! nv3dsink sync=0
下面命令指令会报错
$ gst-launch-1.0 rtspsrc location="rtsp://admin:ZKCD1234@192.168.1.64:554" ! rtph265depay ! h265parse ! nvv4l2decoder ! "video/x-raw(memory:NVMM)" ! nv3dsink sync=0
log.txt (698 Bytes)
Hi,
Seems like the available memory is insufficient in the system. Please run the commands and see if nvv4l2decoder is present:
$ rm .cache/gstreamer-1.0/registry.aarch64.bin
$ gst-inspect-1.0 nvv4l2decoder
If nvv4l2decoder is present, please try the command for decoding RTSP again. If it still does not work, we suggest re-flash Jetpack 5.1.2 through SDKManager and try again.
这个办法不行，升级到5.1.2时间比较久，我们在我们自己板子上做的，需要移植很多驱动，有没有不升级的办法。我们在orin nx上试过 gst-launch-1.0 uridecodebin uri=rtsp://admin:ZKCD1234@192.168.1.64:554 latency=0 ! nv3dsink这个命令就能硬件码，延迟也比较低
Hi,
If you cannot re-flash the system, please investigate why this happens on your environment:
ERROR: from element /GstPipeline:pipeline0/nvv4l2decoder:nvv4l2decoder0: Could not open device '/dev/nvhost-nvdec' for reading and writing.
Additional debug info:
/dvs/git/dirty/git-master_linux/3rdparty/gst/gst-v4l2/gst-v4l2/v4l2_calls.c(651): gst_v4l2_open (): /GstPipeline:pipeline0/nvv4l2decoder:nvv4l2decoder0:
system error: Cannot allocate memory
On default L4T release this error is not seen. So it may be triggered by your customization.
我们在我们自己板子上，64G的模组硬解码能打开，32G的模组硬解码是关闭的，同一个工程的代码，Jetpack 5.1.1的，但是现象不太一样，请问一下我们如何去修复此问题，谢谢
Hi,
32GB of DRAM may be insufficient for the use-case, so decoder cannot allocate the memory in initialization. Suggest you check and try to reduce the memory usage when using Orin 32GB.
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