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Issue running this app with Deepstream 6.0 #42

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JanetSe opened this issue Dec 5, 2021 · 9 comments
Open

Issue running this app with Deepstream 6.0 #42

JanetSe opened this issue Dec 5, 2021 · 9 comments

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@JanetSe
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JanetSe commented Dec 5, 2021

**• Hardware Platform (Jetson / GPU): Jetson Nano
**• DeepStream Version: 6.0
When running: sudo apt-cache show nvidia-jetpack, I get the following message:

Package: nvidia-jetpack
Version: 4.5.1-b17
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.5.1-b17), nvidia-opencv (= 4.5.1-b17), nvidia-cudnn8 (= 4.5.1-b17), nvidia-tensorrt (= 4.5.1-b17), nvidia-visionworks (= 4.5.1-b17), nvidia-container (= 4.5.1-b17), nvidia-vpi (= 4.5.1-b17), nvidia-l4t-jetson-multimedia-api (>> 32.5-0), nvidia-l4t-jetson-multimedia-api (<< 32.6-0)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.5.1-b17_arm64.deb
Size: 29390
SHA256: 13c10e9a53ec51c261ce188d626966dfca27f26b2ed94ba700147c1ba3e35399
SHA1: 81047a7779241bbf16763dbd1c4c12cf8c9d0496
MD5sum: 54916439514f39af5234b3a43e329910
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.5-b129
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.5-b129), nvidia-opencv (= 4.5-b129), nvidia-cudnn8 (= 4.5-b129), nvidia-tensorrt (= 4.5-b129), nvidia-visionworks (= 4.5-b129), nvidia-container (= 4.5-b129), nvidia-vpi (= 4.5-b129), nvidia-l4t-jetson-multimedia-api (>> 32.5-0), nvidia-l4t-jetson-multimedia-api (<< 32.6-0)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.5-b129_arm64.deb
Size: 29358
SHA256: 9ee354a66d932a3fbb244c926f333143a845c627c6981d108e01df2958ac462c
SHA1: 0e07f27c6fb9e34a70c69ae1150d1e578e938089
MD5sum: a551bbc8ff653c8983ce1804082bbcab
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

I have already made the deepstream-occupancy-analytics on deepstream 5.1 and it worked fine, I cloned the same application on a different jetson with deepstream 6.0, but I get the following error:

** ERROR: <create_osd_bin:58>: Failed to create ‘nvosd0’
** ERROR: <create_osd_bin:100>: create_osd_bin failed
** ERROR: <create_processing_instance:815>: create_processing_instance failed
** ERROR: <create_pipeline:1323>: create_pipeline failed
** ERROR: main:1041: Failed to create pipeline
Quitting
App run failed

Any idea what this issue is referring to?

Thanks

@monjha
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monjha commented Dec 8, 2021

Are you using ds6.0 branch?

@niyazFattahov
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Are you using ds6.0 branch?

Hello, should this work in ds6.0? I cannot run example:
niyaz@niyaz:/opt/nvidia/deepstream/deepstream-6.0/sources/apps/sample_apps/deepstream-occupancy-analytics$ ./deepstream-test5-analytics -c config/test5_config_file_src_infer_tlt.txt
** WARN: <parse_source:577>: Deprecated config 'smart-rec-video-cache' used in group [source1]. Use 'smart-rec-cache' instead

(deepstream-test5-analytics:11522): GLib-CRITICAL **: 14:43:46.449: g_strchug: assertion 'string != NULL' failed

(deepstream-test5-analytics:11522): GLib-CRITICAL **: 14:43:46.449: g_strchomp: assertion 'string != NULL' failed
** WARN: <create_pipeline:1170>: Num of Tiles less than number of sources, readjusting to 2 rows, 1 columns
Warning: 'input-dims' parameter has been deprecated. Use 'infer-dims' instead.
** ERROR: main:1088: Failed to set pipeline to PAUSED
Quitting
ERROR from sink_sub_bin_sink2: Could not configure supporting library.
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvmsgbroker/gstnvmsgbroker.cpp(402): legacy_gst_nvmsgbroker_start (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
unable to connect to broker library
ERROR from sink_sub_bin_sink2: GStreamer error: state change failed and some element failed to post a proper error message with the reason for the failure.
Debug info: gstbasesink.c(5265): gst_base_sink_change_state (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
Failed to start
App run failed

@niyazFattahov
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can this work from csi camera? I dont see option for csi

@monjha
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monjha commented Jan 31, 2022

For ds6.0, please check the ds_6.0 branch. For csi camera, check this https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_ref_app_deepstream.html?highlight=csi#id4 and change the type of source group for csi.

@niyazFattahov
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niyazFattahov commented Jan 31, 2022

For ds6.0, please check the ds_6.0 branch. For csi camera, check this https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_ref_app_deepstream.html?highlight=csi#id4 and change the type of source group for csi.

I get segfault with csi source and rtsp sink

@monjha
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monjha commented Jan 31, 2022

What platform are you using? Also, any other ds sample application is running with CSI camera and rtsp sink?

@niyazFattahov
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niyazFattahov commented Jan 31, 2022

What platform are you using? Also, any other ds sample application is running with CSI camera and rtsp sink?

Jetson Nanno,
https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html
I have tested with this config and it working(detecting people): deepstream-app -c source1_csi_dec_infer_resnet_int8.txt

@liaoweiguo
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seems not working in DS 6.1

@XinyueZ
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XinyueZ commented Apr 21, 2023

The same issue to me with a sample program.
I installed the docker version via docker pull nvcr.io/nvidia/deepstream-l4t:6.2-triton on the Orin (A sample program works well on PC GPU).

Any help?

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