New NvStreammux shows 「[ERROR push 317] push failed [-5]」

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU) : dGPU、Jetson
• DeepStream Version : 6.0、6.1
• JetPack Version (valid for Jetson only) : 4.6(DS6.0)、5.0.2(DS6.1)
• TensorRT Version : 8.0.1(DS6.0)、8.4.1(DS6.1)
• NVIDIA GPU Driver Version (valid for GPU only) : 525.147.05
• Issue Type( questions, new requirements, bugs) : questions
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)

I want to use new nvstreammux element.
But I sometimes get this message, when I run this command to use new nvstreammux on dGPU(DS6.0、DS6.1) and Jetson(DS6.0、DS6.1) .
What does the message「[ERROR push 317] push failed [-5]」 mean?

I run this command in the docker container.

command (If you cannot reproduce it, run it again and again.)

USE_NEW_NVSTREAMMUX=yes gst-launch-1.0 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_0 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12" ! mux.sink_0 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_1 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_1 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_2 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_2 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_3 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_3 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_4 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_4 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_5 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_5 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_6 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_6 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_7 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_7 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_8 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_8 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_9 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_9 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_10 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_10 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_11 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_11 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_12 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_12 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_13 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_13 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_14 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_14 \
uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4 name=source_15 ! tee ! queue ! nvvideoconvert ! "video/x-raw(memory:NVMM),format=NV12"! mux.sink_15 \
nvstreammux name=mux batch-size=16 ! \
nvstreamdemux name=demux \
demux.src_0 ! fakesink async=false

DeepStream 6.0 output (dGPU)

max_fps_dur 8.33333e+06 min_fps_dur 2e+08
Setting pipeline to PAUSED ...
Pipeline is PREROLLING ...
max_fps_dur 8.33333e+06 min_fps_dur 2e+08
Pipeline is PREROLLED ...
Setting pipeline to PLAYING ...
New clock: GstSystemClock
Got EOS from element "pipeline0".
Execution ended after 0:00:26.270019690
Setting pipeline to PAUSED ...
[ERROR push 317] push failed [-5]
Setting pipeline to READY ...
Setting pipeline to NULL ...
Freeing pipeline ...
3 
nvstreammux sync-inputs=1 name=mux batch-size=16 ! \
nvstreamdemux name=demux \
demux.src_0 ! fakesink sync=true

The property below new streammux is necessary

4

Thank you.
But I still have 4 questions.

  1. Does this 「[ERROR push 317] push failed [-5]」」 message affect the processing of the pipeline?

  2. I want to understand what 「[ERROR push 317] push failed [-5]」 means. So, tell me about the numbers 317 and -5.

  3. This may be covered by question2. Does It message appear, if I run the pipeline is running asynchronously with new nvstreammux?

  4. When I run deepstream-test5-app with new nvstreammux and stop by 「q」key on DS6.0(dGPU,Jetson) and DS6.1(dGPU,Jetson), I get those messages.
    As well as question1 and 2, Do these messages affect the processing of the pipeline? And What do the numbers 334, 315, and -2 mean?
    message

    • DS6.1(dGPU)：[ERROR push 334] push failed [-2]
    • DS6.0(dGPU)：[ERROR push 317] push failed [-2]
    • DS6.1(Jetson)：[ERROR push 334] push failed [-2]
    • DS6.0(Jetson)：[ERROR push 315] push failed [-2]

    I run this command in the docker container.

    I use this config file

    ################################################################################
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
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# The above copyright notice and this permission notice shall be included in
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################

[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl

[tiled-display]
enable=1
rows=2
columns=2
width=1280
height=720
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory, applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory, applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory, applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0


[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
uri=file://../../../../../samples/streams/sample_1080p_h264.mp4
num-sources=2
gpu-id=0
nvbuf-memory-type=0

[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
uri=file://../../../../../samples/streams/sample_1080p_h264.mp4
num-sources=2
gpu-id=0
nvbuf-memory-type=0

[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=1
sync=1
source-id=0
gpu-id=0
nvbuf-memory-type=0

[sink1]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=6
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=<host>;<port>;<topic>
topic=<topic>
#Optional:
#msg-broker-config=../../deepstream-test4/cfg_kafka.txt

[sink2]
enable=0
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
## only SW mpeg4 is supported right now.
codec=3
sync=1
bitrate=2000000
output-file=out.mp4
source-id=0

# sink type = 6 by default creates msg converter + broker.
# To use multiple brokers use this group for converter and use
# sink type = 6 with disable-msgconv = 1
[message-converter]
enable=0
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
# Name of library having custom implementation.
#msg-conv-msg2p-lib=<val>
# Id of component in case only selected message to parse.
#msg-conv-comp-id=<val>

# Configure this group to enable cloud message consumer.
[message-consumer0]
enable=0
proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
conn-str=<host>;<port>
config-file=<broker config file e.g. cfg_kafka.txt>
subscribe-topic-list=<topic1>;<topic2>;<topicN>
# Use this option if message has sensor name as id instead of index (0,1,2 etc.).
#sensor-list-file=dstest5_msgconv_sample_config.txt

[osd]
enable=1
gpu-id=0
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Arial
show-clock=0
clock-x-offset=800
clock-y-offset=820
clock-text-size=12
clock-color=1;0;0;0
nvbuf-memory-type=0

[streammux]
gpu-id=0
##Boolean property to inform muxer that sources are live
live-source=0
batch-size=4
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed
batched-push-timeout=40000
## Set muxer output width and height
width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0
## If set to TRUE, system timestamp will be attached as ntp timestamp
## If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached
# attach-sys-ts-as-ntp=1

[primary-gie]
enable=1
gpu-id=0
batch-size=4
## 0=FP32, 1=INT8, 2=FP16 mode
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;1;1;1
bbox-border-color3=0;1;0;1
nvbuf-memory-type=0
interval=0
gie-unique-id=1
model-engine-file=../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
labelfile-path=../../../../../samples/models/Primary_Detector/labels.txt
config-file=../../../../../samples/configs/deepstream-app/config_infer_primary.txt
#infer-raw-output-dir=../../../../../samples/primary_detector_raw_output/

[tracker]
enable=1
# For NvDCF and DeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=640
tracker-height=384
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
# ll-config-file required to set different tracker types
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_IOU.yml
ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml
# ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_DeepSORT.yml
gpu-id=0
enable-batch-process=1
enable-past-frame=1
display-tracking-id=1

[tests]
file-loop=0

    Command

    cd /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-test5/configs
vi test5_config_file_src_infer.txt # Change config file
USE_NEW_NVSTREAMMUX=yes deepstream-test5-app -c test5_config_file_src_infer.txt
# Stop by q key

    Example of log(dGPU,6.0)

    max_fps_dur 8.33333e+06 min_fps_dur 2e+08

(deepstream-test5-app:2401): GLib-GObject-WARNING **: 08:01:19.969: g_object_set_is_valid_property: object class 'GstNvStreamMux' has no property named 'buffer-pool-size'
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
gstnvtracker: Batch processing is ON
gstnvtracker: Past frame output is ON
[NvMultiObjectTracker] Initialized
0:00:01.574101596  2401 0x56183514b330 INFO                 nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1900> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 3
0   INPUT  kFLOAT input_1         3x368x640       
1   OUTPUT kFLOAT conv2d_bbox     16x23x40        
2   OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40         

0:00:01.574165430  2401 0x56183514b330 INFO                 nvinfer gstnvinfer.cpp:638:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2004> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
0:00:01.574937372  2401 0x56183514b330 INFO                 nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/configs/deepstream-app/config_infer_primary.txt sucessfully

Runtime commands:
        h: Print this help
        q: Quit

        p: Pause
        r: Resume

NOTE: To expand a source in the 2D tiled display and view object details, left-click on the source.
    To go back to the tiled display, right-click anywhere on the window.

** INFO: <bus_callback:194>: Pipeline ready

max_fps_dur 8.33333e+06 min_fps_dur 2e+08
** INFO: <bus_callback:180>: Pipeline running

WARNING; playback mode used with URI [file:///opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/streams/sample_1080p_h264.mp4] not conforming to timestamp format; check README; using system-time
WARNING; playback mode used with URI [file:///opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/streams/sample_1080p_h264.mp4] not conforming to timestamp format; check README; using system-time
WARNING; playback mode used with URI [file:///opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/streams/sample_1080p_h264.mp4] not conforming to timestamp format; check README; using system-time
WARNING; playback mode used with URI [file:///opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-test5/configs/../../../../../samples/streams/sample_1080p_h264.mp4] not conforming to timestamp format; check README; using system-time
q
Quitting
[NvMultiObjectTracker] De-initialized
[ERROR push 317] push failed [-2]
App run successful
5

gst-nvmultistream2 is open source, You can refer to this function bool GstBatchBufferWrapper::push(SourcePad * src_pad, unsigned long pts)

https://gstreamer.freedesktop.org/documentation/gstreamer/gstinfo.html?gi-language=c#GST_ERROR_OBJECT

This represents the code line number

Represents the return value
https://gstreamer.freedesktop.org/documentation/gstreamer/gstpad.html?gi-language=c#enumerations

6

When I run the following command with DS6.1 using file source, the FPS goes to 0 before all data is inferred, and only the actual inferred seconds are output to the video.
When using the nvstreammux property sync-inputs, it seems to only work for live sources, can it be used for file sources?
https://forums.developer.nvidia.com/t/deepstream-audio-with-sync-inputs/290725/3?u=y.majima
If it is possible to use it, please let me know how to set it up correctly.

command

USE_NEW_NVSTREAMMUX=yes gst-launch-1.0 -e uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.mp4 ! m.sink_0 nvstreammux name=m batch-size=1 sync-inputs=1 ! nvinfer config-file-path=/opt/nvidia/deepstream/deepstream/samples/configs/deeps
tream-app/config_infer_primary.txt ! nvdslogger ! nvvideoconvert ! nvdsosd ! nvstreamdemux name=demux demux.src_0 ! nvvideoconvert ! nvv4l2h264enc ! h264parse ! qtmux ! filesink location=out.mp4

max_fps_dur 8.33333e+06 min_fps_dur 2e+08
Setting pipeline to PAUSED ...
0:00:02.480207329   754 0x5558e68ccd30 INFO                 nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<nvinfer0> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1900> [UID = 1]: deserialized trt engine from :/opt/nvidia/deepstream/deepstream-6.1/samples/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine
INFO: ../nvdsinfer/nvdsinfer_model_builder.cpp:610 [Implicit Engine Info]: layers num: 3
0   INPUT  kFLOAT input_1         3x368x640       
1   OUTPUT kFLOAT conv2d_bbox     16x23x40        
2   OUTPUT kFLOAT conv2d_cov/Sigmoid 4x23x40         

0:00:02.497471382   754 0x5558e68ccd30 INFO                 nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<nvinfer0> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2003> [UID = 1]: Use deserialized engine model: /opt/nvidia/deepstream/deepstream-6.1/samples/models/Primary_Detector/resnet10.caffemodel_b30_gpu0_int8.engine
0:00:02.503941560   754 0x5558e68ccd30 INFO                 nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus:<nvinfer0> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_infer_primary.txt sucessfully
Pipeline is PREROLLING ...
max_fps_dur 8.33333e+06 min_fps_dur 2e+08
Redistribute latency...
Pipeline is PREROLLED ...
Setting pipeline to PLAYING ...
New clock: GstSystemClock

**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
**PERF : FPS_0 (0.00)
Got EOS from element "pipeline0".
Execution ended after 0:00:48.240668324
Setting pipeline to PAUSED ...
Setting pipeline to READY ...
Setting pipeline to NULL ...
Freeing pipeline ...
7

Yes, of course.

Some tips

  1. sync-inputs is used to synchronize multiple inputs, so it is best to use multiple streams for testing.

  2. For local files, you need to increase the max-latency parameter, otherwise most frames will be discarded.

Try the following command line.

USE_NEW_NVSTREAMMUX=yes  gst-launch-1.0 -e uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.mp4 ! nvvideoconvert ! m.sink_0 uridecodebin uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.mp4 ! nvvideoconvert ! m.sink_1 nvstreammux name=m batch-size=2 sync-inputs=1 max-latency=33000000 ! nvinfer config-file-path=/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_infer_primary.txt ! nvdslogger fps-measurement-interval-sec=1 ! nvvideoconvert ! nvdsosd ! nvstreamdemux name=demux demux.src_0 ! nvvideoconvert ! nvv4l2h264enc ! h264parse ! qtmux ! filesink location=out.mp4 sync=1 demux.src_1 ! nvvideoconvert ! nvv4l2h264enc ! h264parse ! qtmux ! filesink location=out1.mp4 sync=1
8

I have 2 questions.

  1. Do I have to use sync-inputs if I run a pipeline with multiple inputs?
  2. Does this「[ERROR push 317] push failed [-5]」」 message of first comment affect the processing of the pipeline?
    I refered to function bool GstBatchBufferWrapper::push(SourcePad * src_pad, unsigned long pts). But I don’t understand if the message affect the processing of the pipeline.
9

Not required, this is just to force synchronization of multiple inputs

No impact. The problem mentioned in the first comment is just because you have 16 inputs but only 1 output.
Need to be like below

demux.src_0 ! fakesink 
demux.src_1 ! fakesink 
.......
10

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

11

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