Comments (4)
Hi SHARATHbhushan:
The same question was brought up for discussion in the Nvidia Tech Forums:GstNvTracker does not have enable-batch-process nor enable-past-frame properties in DeepStream 6.3]https://forums.developer.nvidia.com/t/gstnvtracker-does-not-have-enable-batch-process-nor-enable-past-frame-properties-in-deepstream-6-3/277839/4
- According to deepstream 6.2
-
To allow the low-level tracker library to store and report the past-frame data, user would need to set enable-past-frame=1 and enable-batch-process=1 under [tracker] section in the deepstream-app config file. Note that the past-frame data is only supported in the batch processing mode.
-
Solutions:
- Return to deepstream 6.2
- Set
#enable-batch-process=1
In deepstream-yolo-pose/configs/config_tracker.txt
Since I don't have the hardware on hand to test it, it's up to you to test it and track down technical support from the forum.
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Hi @YunghuiHsu Thank you, I will try that
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Hello @YunghuiHsu I tried it with deepstream 6.2 docker image: installed all the requirements, even gstream appear to be installed, but I encountered this error Error: gst-resource-error-quark: Cannot identify device '/dev/v4l2-nvenc'. (3): /dvs/git/dirty/git-master_linux/3rdparty/gst/gst-v4l2/gst-v4l2/v4l2_calls.c(637): gst_v4l2_open (): /GstPipeline:pipeline0/nvv4l2h264enc
I looked everywhere with no results
did you encounter this, or is there a compatible docker image I can use?
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since there is no hardware encoder in Orin Nano.
Gstreamer Nvv4l2h264enc: Cannot identify device ‘/dev/v4l2-nvenc’
You need to carefully refer to the solutions proposed by the administrators in the forum, e.g. using the "software encoder x264enc
."
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