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Deepstream-test1,2 and 4 apps only work with H264 elementary streams such as sample_720p.h264 provided with the DeepStream SDK. These include test apps 1, 2 and 4. Attempting to use other such types of streams will result in the following error:
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Error: gst-stream-error-quark: Internal data stream error. (1): gstbaseparse.c(3611): gst_base_parse_loop (): /GstPipeline:pipeline0/GstH264Parse:h264-parser:
streaming stopped, reason not-negotiated (-4)
Deepstream-test3 supports various stream types including mp4 and RTSP. Please see the app README for usage.
This is a limitation of Python signal handling:https://docs.python.org/3/library/signal.html"A long-running calculation implemented purely in C (such as regular expression matching on a large body of text) may run uninterrupted for an arbitrary amount of time, regardless of any signals received. The Python signal handlers will be called when the calculation finishes."
To work around this:
As with DeepStream SDK, if the application runs into errors, cannot create gst elements, try again after removing gstreamer cache:rm ${HOME}/.cache/gstreamer-1.0/registry.x86_64.bin
General GStreamer debugging: set debug level on the command line:
GST_DEBUG=<level> python3 <app> [options]
The application appears to be stuck without any playback activity.One possible cause is incompatible input type. Some of the sample apps only support H264 elementary streams.
terminate called after throwing an instance of 'pybind11::error_already_set'
what(): TypeError: (): incompatible function arguments. The following argument types are supported:
1. (arg0: pyds.<struct, e.g. NvDsEventMsgMeta>, arg1: str) -> None
Invoked with: <pyds.<struct, e.g. NvDsEventMsgMeta> object at 0x7ffa93d2fce0>, <int, e.g. 140710457366960>
This can happen if the string field is being set with another string field, e.g.:
dstmeta.sensorStr = srcmeta.sensorStr
Remember from the String Access section above that reading srcmeta.sensorStr directly returns an int, not string.The proper way to copy the string field in this case is:
dstmeta.sensorStr = pyds.get_string(srcmeta.sensorStr)
WARNING: A lot of buffers are being dropped. (13): gstbasesink.c(2902):gst_base_sink_is_too_late (): /GstPipeline:pipeline0/GstEglGlesSink:nvvideo-renderer:There may be a timestamping problem, or this computer is too slow.
Answer:This could be thrown from any GStreamer app when the pipeline through-put is lowresulting in late buffers at the sink plugin.This could be a hardware capability limitation or expensive software callsthat hinder pipeline buffer flow.With python, there is a possibility for such an induced delay in software.This is with regards to the probe() callbacks an user could leveragefor metadata extraction and other use-cases as demonstrated in our test-apps.
Please NOTE:a) probe() callbacks are synchronous and thus holds the buffer(info.get_buffer()) from traversing the pipeline until user return.b) loops inside probe() callback could be costly in python.
The Triton Inference Server plugin currently only supports single-GPU usage.
When running the docker, please specify--gpus device=<GPU ID>e.g.: --gpus device=0
The pyds extension is installed under /opt/nvidia/deepstream/deepstream/lib The sample applications all include this path via the is_aarch_64 module. A setup.py is also provided to install this extension into standard path. Currently this needs to be run manually: $ cd /opt/nvidia/deepstream/deepstream/lib $ python3 setup.py install
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