streaming stopped, reason not-negotiated (-4)

[hasantokatlioglu]

I convert .engine but I cannot use please help me

my deepstream_app_config.txt is: my config_infer_primary_yoloV5.txt is:

Thank you!

[marcoslucianops]

In deepstream-app you need to set the camera parameters according to your usb camera supported formats. The default is camera-width=640, camera-height=480 and camera-fps-n=30.

[hasantokatlioglu]

I changed values and I get new error.

ws/DeepStream-Yolo/config_infer_primary_yoloV5.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: : Pipeline ready

** INFO: : Pipeline running

Segmentation fault (core dumped)

[marcoslucianops]

Which DeepStream version are you using?

[hasantokatlioglu]

6.1

[marcoslucianops]

I didn't get this error here. Can you try to debug the error using gdb?

[marcoslucianops]

I saw now you are trying to run on docker, change sink type to 1 and try again.

[arun-kumark]

Hello, I am also facing the same issue. My pipeline is: gst-launch-1.0 pylonsrc cam::ExposureTime=20000 cam::Gain=10.3 ! "video/x-raw,width=640,height=480,framerate=10/1,format=GRAY8" ! videoconvert ! nvvideoconvert ! m.sink_0 nvstreammux name=m batch-size=1 width=1024 height=768 ! nvinfer config-file-path=/home/arun/DeepStream-Yolo/config_infer_primary_yoloV5.txt batch-size=1 unique-id=1 ! autovideosink

I get the following error:

arun@arun:~/DeepStream-Yolo$ gst-launch-1.0 pylonsrc cam::ExposureTime=20000 cam::Gain=10.3 ! "video/x-raw,width=640,height=480,framerate=10/1,format=GRAY8" ! videoconvert ! nvvideoconvert ! m.sink_0 nvstreammux name=m batch-size=1 width=1024 height=768 ! nvinfer config-file-path=/home/arun/DeepStream-Yolo/config_infer_primary_yoloV5.txt batch-size=1 unique-id=1 ! autovideosink
Setting pipeline to PAUSED ...
WARNING: [TRT]: Using an engine plan file across different models of devices is not recommended and is likely to affect performance or even cause errors.
0:00:13.592017243 13969 0xaaaaecef4030 INFO                 nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<nvinfer0> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1909> [UID = 1]: deserialized trt engine from :/home/arun/DeepStream-Yolo/model_b1_gpu0_fp32.engine
WARNING: [TRT]: The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1.
INFO: [Implicit Engine Info]: layers num: 4
0   INPUT  kFLOAT input           3x640x640       
1   OUTPUT kFLOAT boxes           25200x4         
2   OUTPUT kFLOAT scores          25200x1         
3   OUTPUT kFLOAT classes         25200x1         

0:00:13.657445702 13969 0xaaaaecef4030 INFO                 nvinfer gstnvinfer.cpp:646:gst_nvinfer_logger:<nvinfer0> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:2012> [UID = 1]: Use deserialized engine model: /home/arun/DeepStream-Yolo/model_b1_gpu0_fp32.engine
0:00:13.669595896 13969 0xaaaaecef4030 INFO                 nvinfer gstnvinfer_impl.cpp:328:notifyLoadModelStatus:<nvinfer0> [UID 1]: Load new model:/home/arun/DeepStream-Yolo/config_infer_primary_yoloV5.txt sucessfully
Pipeline is live and does not need PREROLL ...
Setting pipeline to PLAYING ...
New clock: GstSystemClock
ERROR: from element /GstPipeline:pipeline0/GstPylonSrc:pylonsrc0: Internal data stream error.
Additional debug info:
gstbasesrc.c(3072): gst_base_src_loop (): /GstPipeline:pipeline0/GstPylonSrc:pylonsrc0:
streaming stopped, reason not-negotiated (-4)
Execution ended after 0:00:00.307523235
Setting pipeline to NULL ...
Freeing pipeline ...
arun@arun:~/DeepStream-Yolo$ 

I am using DeepStream 6.1 and Basler Ace2

thanks Kind Regards Arun

[marcoslucianops]

@arun-kumark Try

If you are runing in a x86 platform

gst-launch-1.0 pylonsrc cam::ExposureTime=20000 cam::Gain=10.3 ! "video/x-raw,width=640,height=480,framerate=10/1,format=GRAY8" ! videoconvert ! nvvideoconvert ! m.sink_0 nvstreammux name=m batch-size=1 width=1024 height=768 ! nvinfer config-file-path=/home/arun/DeepStream-Yolo/config_infer_primary_yoloV5.txt batch-size=1 unique-id=1 ! nvvideoconvert ! nvdsosd ! nveglglessink sync=0

If you are running in a Jetson platform:

gst-launch-1.0 pylonsrc cam::ExposureTime=20000 cam::Gain=10.3 ! "video/x-raw,width=640,height=480,framerate=10/1,format=GRAY8" ! videoconvert ! nvvideoconvert ! m.sink_0 nvstreammux name=m batch-size=1 width=1024 height=768 ! nvinfer config-file-path=/home/arun/DeepStream-Yolo/config_infer_primary_yoloV5.txt batch-size=1 unique-id=1 ! nvvideoconvert ! nvdsosd ! nvegltransform ! nveglglessink sync=0

[arun-kumark]

Solved with Jetson platform option :+1:

Thanks!

How can I make this as a Python file ? Any reference Marco ?

[marcoslucianops]

How can I make this as a Python file ? Any reference Marco ?

https://github.com/NVIDIA-AI-IOT/deepstream_python_apps

[arun-kumark]

Thanks Marco. I am searching for Basler specific pylonsrc code. I have a graph from running pipeline, but my python code stalls. Attaching the graph file for your reference too..

pipeline_PAUSED_READY.pdf thanks Kind Regards Arun

[marcoslucianops]

Can you send the log from the terminal?