Deepstream Occupancy Analytics Maximum Number of Cameras

Please provide complete information as applicable to your setup.

**• Hardware Platform: Jetson Nano
**• DeepStream Version:5.1
**• JetPack Version:450

Hi,

I read once on the forum that the test5 app supports 8 sources/streams. I tried 3 streams and it worked but whenever I try to increase the number of streams, I get the following messages on my terminal:

** WARN: <create_pipeline:1141>: Num of Tiles less than number of sources, readjusting to 4 rows, 1 columns
Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead.

Using winsys: x11
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
gstnvtracker: Batch processing is OFF
gstnvtracker: Past frame output is OFF
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine open error
0:00:01.975133859 429 0x5590f30f50 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1691> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed
0:00:01.975222714 429 0x5590f30f50 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1798> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed, try rebuild
0:00:01.975256621 429 0x5590f30f50 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1716> [UID = 1]: Trying to create engine from model files
WARNING: INT8 not supported by platform. Trying FP16 mode.
WARNING: INT8 not supported by platform. Trying FP16 mode.
INFO: [TRT]: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
INFO: [TRT]: Detected 1 inputs and 2 output network tensors.
ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_fp16.engine opened error
0:01:21.574831667 429 0x5590f30f50 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1744> [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x544x960
1 OUTPUT kFLOAT output_bbox/BiasAdd 12x34x60
2 OUTPUT kFLOAT output_cov/Sigmoid 3x34x60

0:01:21.617685982 429 0x5590f30f50 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/config_infer_primary_peoplenet.txt sucessfully

Runtime commands:
h: Print this help
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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.

**PERF: FPS 0 (Avg) FPS 1 (Avg) FPS 2 (Avg) FPS 3 (Avg)
Mon Nov 29 17:12:48 2021
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
** INFO: <bus_callback:181>: Pipeline ready

Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
** INFO: <bus_callback:167>: Pipeline running

~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
[NvDCF] Initialized
Enter: 0, Exit: 0
/dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:3642: => Scale factor more than 16, use GPU for compositon
[NvTiler::Composite] ERROR: 352; NvBufSurfTransformComposite failed(-2)
ERROR from tiled_display_tiler: GstNvTiler: FATAL ERROR; NvTiler::Composite failed
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvtiler/gstnvtiler.cpp(662): gst_nvmultistreamtiler_transform (): /GstPipeline:pipeline/GstBin:tiled_display_bin/GstNvMultiStreamTiler:tiled_display_tiler
Quitting
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
[NvDCF] Initialized
[NvDCF] De-initialized
[NvDCF] De-initialized
App run failed

Can you please confirm what is the maximum number of streams supported by the app? and if this error is related to the number of streams Iam using which is 4 in this case.

Thans

Please upload your config file, seems your configuration is wrong.

Hey, thanks for the reply. This is the test5 application configuration file, which worked with the first 3 sources, but not with 4 or more:

[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl #saves the output from primary detector in a modified KITTY metadata format
#kitti-track-output-dir=/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics/KITTY

[tiled-display]
enable=1
rows=1
columns=1
width=320
height=240
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=2
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0

[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=2
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0

[source2]
enable=1

#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=2
#uri=file:///opt/nvidia/deepstream/deepstream-5.1/samples/streams/sample_1080p_h264.mp4
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0

smart record specific fields, valid only for source type=4

0 = disable, 1 = through cloud events, 2 = through cloud + local events

smart-record=2

0 = mp4, 1 = mkv

#smart-rec-container=0
smart-rec-start-time=1
smart-rec-start-time=1
smart-rec-file-prefix=smart_record
#smart-rec-dir-path=/home/monika/record

video cache size in seconds

smart-rec-video-cache=10
[source3]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=2
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0

[sink0]
enable=1
type=2
#1=mp4 2=mkv./bin/kafka-topics --create --bootstrap-server localhost:9092
#–replication-factor 1 --partitions 1 --topic users
container=1

#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
#iframeinterval=10
bitrate=100000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
output-file=resnet.mp4
source-id=0

[sink1]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=6
#sync=0 #new
#qos=1 #new
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 #was 0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=localhost;9092;quickstart-events
topic=quickstart-events
#Optional:
msg-broker-config=…/…/deepstream-test4/cfg_kafka.txt
#msg-broker-comp-id=2 #new w can be changed cause this is the default
#disable-msgconv=1 #also new
#source-id=1

[sink2]
enable=1
type=1
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4

only SW mpeg4 is supported right now.

codec=3
sync=0
bitrate=2000000
output-file=out.mp4
source-id=0 #was 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 #was 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=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_msgconv.so

Id of component in case only selected message to parse.

#msg-conv-comp-id=2 #was commented

Configure this group to enable cloud message consumer.

[message-consumer0]
enable=0
proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
conn-str=localhost;9092
config-file=…/…/deepstream-test4/cfg_kafka.txt #was commented
subscribe-topic-list=quickstart-events

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=10
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=1
batch-size=1
##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=1

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=peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine
labelfile-path=peoplenet/labels.txt
config-file=config_infer_primary_peoplenet.txt

config-file=config_infer_primary_peoplenet.txt
#infer-raw-output-dir=…/…/…/…/…/samples/primary_detector_raw_output/

[tracker]
enable=1
tracker-width=1216
tracker-height=960
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
#ll-config-file required for DCF/IOU only
ll-config-file=tracker_config.yml
#ll-config-file=iou_config.txt
gpu-id=0
#enable-batch-process applicable to DCF only
enable-batch-process=0

[nvds-analytics]
enable=1
config-file=config_nvdsanalytics.txt

[tests]
file-loop=0

There are many problems with the configuration file.

  1. [tiled-display] group, your source number can not be ,ore than (rows x columns)
  2. [source] group, smart recording only work with rtsp source. Smart Video Record — DeepStream 6.0 Release documentation
    3.[streammux] group, batch size should be the same as source number. Frequently Asked Questions — DeepStream 6.0 Release documentation. Local mp4 file is not live source.

Please read deepstream document and understand the meaning of the settings before you use it.

There is already enough document and sample for the configurations.

Thank you, I will make the changes and provide an update about the solution.

Hi. I made the required adjustments and I made it work with 6 displays at once. When opting for 8 streams, I got the following error:

Warning: ‘input-dims’ parameter has been deprecated. Use ‘infer-dims’ instead.

Using winsys: x11
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
gstnvtracker: Batch processing is OFF
gstnvtracker: Past frame output is OFF
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine open error
0:00:05.851894820 29464 0x5592cb2c90 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1691> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed
0:00:05.852006228 29464 0x5592cb2c90 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1798> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed, try rebuild
0:00:05.852039770 29464 0x5592cb2c90 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1716> [UID = 1]: Trying to create engine from model files
WARNING: INT8 not supported by platform. Trying FP16 mode.
WARNING: INT8 not supported by platform. Trying FP16 mode.
INFO: [TRT]: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
INFO: [TRT]: Detected 1 inputs and 2 output network tensors.
ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b2_gpu0_fp16.engine opened error
0:02:09.861486288 29464 0x5592cb2c90 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1744> [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b2_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x544x960
1 OUTPUT kFLOAT output_bbox/BiasAdd 12x34x60
2 OUTPUT kFLOAT output_cov/Sigmoid 3x34x60

0:02:09.944471683 29464 0x5592cb2c90 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/config_infer_primary_peoplenet.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.

**PERF: FPS 0 (Avg) FPS 1 (Avg) FPS 2 (Avg) FPS 3 (Avg) FPS 4 (Avg) FPS 5 (Avg) FPS 6 (Avg) FPS 7 (Avg)
Sun Dec 5 16:51:32 2021
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
** INFO: <bus_callback:181>: Pipeline ready

Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
** INFO: <bus_callback:167>: Pipeline running

~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
Sun Dec 5 16:51:37 2021
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
[NvDCF] Initialized[NvDCF] Initialized[NvDCF] Initialized
[NvDCF] Initialized
[NvDCF] Initialized

Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
/dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:3642: => Scale factor more than 16, use GPU for compositon
[NvTiler::Composite] ERROR: 352; NvBufSurfTransformComposite failed(-2)
ERROR from tiled_display_tiler: GstNvTiler: FATAL ERROR; NvTiler::Composite failed
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvtiler/gstnvtiler.cpp(662): gst_nvmultistreamtiler_transform (): /GstPipeline:pipeline/GstBin:tiled_display_bin/GstNvMultiStreamTiler:tiled_display_tiler
Quitting
[NvDCF] De-initialized
[NvDCF] De-initialized
[NvDCF] De-initialized
[NvDCF] De-initialized
[NvDCF] De-initialized
App run failed

I read on the website that: “DeepStream can support as many streams as possible as long as application under run is not limited by memory/decode/compute capability.”

I am using a jetson nano so it can’t be a compute capability problem, so does the error indicate what the issue with application is?

Thanks

Seems something wrong with the configuration too. Please check your configuration. Troubleshooting — DeepStream 6.0 Release documentation and Frequently Asked Questions — DeepStream 6.0 Release documentation may help

Hello

Finally made it work with 7 streams, but with 8 I get a black window and the app gets killed after a while. Here’s the message I get:

Using winsys: x11
gstnvtracker: Loading low-level lib at /opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
gstnvtracker: Batch processing is OFF
gstnvtracker: Past frame output is OFF
ERROR: Deserialize engine failed because file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine open error
0:00:06.597978164 23205 0x55726f7e90 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::deserializeEngineAndBackend() <nvdsinfer_context_impl.cpp:1691> [UID = 1]: deserialize engine from file :/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed
0:00:06.598089573 23205 0x55726f7e90 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::generateBackendContext() <nvdsinfer_context_impl.cpp:1798> [UID = 1]: deserialize backend context from engine from file :/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine failed, try rebuild
0:00:06.598122438 23205 0x55726f7e90 INFO nvinfer gstnvinfer.cpp:619:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Info from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1716> [UID = 1]: Trying to create engine from model files
WARNING: INT8 not supported by platform. Trying FP16 mode.
WARNING: INT8 not supported by platform. Trying FP16 mode.
INFO: [TRT]: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
INFO: [TRT]: Detected 1 inputs and 2 output network tensors.
ERROR: Serialize engine failed because of file path: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b8_gpu0_fp16.engine opened error
0:04:37.791984031 23205 0x55726f7e90 WARN nvinfer gstnvinfer.cpp:616:gst_nvinfer_logger:<primary_gie> NvDsInferContext[UID 1]: Warning from NvDsInferContextImpl::buildModel() <nvdsinfer_context_impl.cpp:1744> [UID = 1]: failed to serialize cude engine to file: /opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/peoplenet/resnet34_peoplenet_pruned.etlt_b8_gpu0_fp16.engine
INFO: [Implicit Engine Info]: layers num: 3
0 INPUT kFLOAT input_1 3x544x960
1 OUTPUT kFLOAT output_bbox/BiasAdd 12x34x60
2 OUTPUT kFLOAT output_cov/Sigmoid 3x34x60

0:04:37.998255150 23205 0x55726f7e90 INFO nvinfer gstnvinfer_impl.cpp:313:notifyLoadModelStatus:<primary_gie> [UID 1]: Load new model:/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/config_infer_primary_peoplenet.txt sucessfully
cb_sourcesetup set 100 latency

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.

**PERF: FPS 0 (Avg) FPS 1 (Avg) FPS 2 (Avg) FPS 3 (Avg) FPS 4 (Avg) FPS 5 (Avg) FPS 6 (Avg) FPS 7 (Avg)
Tue Dec 14 16:03:03 2021
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
** INFO: <bus_callback:181>: Pipeline ready

Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
NvMMLiteOpen : Block : BlockType = 261
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
NvMMLiteBlockCreate : Block : BlockType = 261
Opening in BLOCKING MODE
Opening in BLOCKING MODE
NvMMLiteOpen : Block : BlockType = 261
NVMEDIA: Reading vendor.tegra.display-size : status: 6
NvMMLiteBlockCreate : Block : BlockType = 261
** INFO: <bus_callback:167>: Pipeline running

~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
Tue Dec 14 16:03:08 2021
**PERF: 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
[NvDCF] Initialized[NvDCF] Initialized[NvDCF] Initialized[NvDCF] Initialized[NvDCF] Initialized[NvDCF] Initialized[NvDCF] Initialized

Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Enter: 0, Exit: 0
Tue Dec 14 16:03:13 2021
**PERF: 2785.06 (2.79) 2785.06 (2.79) 0.00 (0.00) 2792.48 (2.79) 2785.06 (2.79) 2792.48 (2.79) 2785.06 (2.79)2785.06 (2.79)
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 670]: !!![WARNING] Can’t open config file (/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics-initial/config/tracker_config.yml). Will go ahead with default values
~~ CLOG[/dvs/git/dirty/git-master_linux/deepstream/sdk/src/utils/nvdcf/src/modules/NvDCF/NvDCF.cpp, NvDCF() @line 682]: !!![WARNING] Invalid low-level config file is provided. Will go ahead with default values
Tue Dec 14 16:03:18 2021
**PERF: 0.00 (0.18) 0.00 (0.18) 0.00 (0.00) 0.00 (0.18) 0.00 (0.18) 0.00 (0.18) 0.00 (0.18) 0.00 (0.18)
Tue Dec 14 16:03:23 2021
**PERF: 0.00 (0.09) 0.00 (0.09) 0.00 (0.00) 0.00 (0.09) 0.00 (0.09) 0.00 (0.09) 0.00 (0.09) 0.00 (0.09)
Killed

The following is my config file:
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl #saves the output from primary detector in a modified KITTY metadata format
#kitti-track-output-dir=/opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/deepstream-occupancy-analytics/KITTY

[tiled-display]
enable=1
rows=4
columns=2
width=320
height=240
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=2
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0
.
.
.
.

[source5]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=2
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0
[source6]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=2
uri=file:///opt/nvidia/deepstream/deepstream-5.1/sources/apps/sample_apps/demo/video2.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0

[sink0]
enable=1
type=2
#1=mp4 2=mkv./bin/kafka-topics --create --bootstrap-server localhost:9092
#–replication-factor 1 --partitions 1 --topic users
container=1
#1=h264 2=h265
codec=1

#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
#iframeinterval=10
bitrate=100000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
output-file=resnet.mp4
source-id=0

[sink1]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=6
#sync=0 #new
#qos=1 #new
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 #was 0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=localhost;9092;quickstart-events
topic=quickstart-events
#Optional:
msg-broker-config=…/…/deepstream-test4/cfg_kafka.txt
#msg-broker-comp-id=2 #new w can be changed cause this is the default
#disable-msgconv=1 #also new
#source-id=1

[sink2]
enable=1
type=1

#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4

only SW mpeg4 is supported right now.

codec=3
sync=0
bitrate=2000000
output-file=out.mp4
source-id=0 #was 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 #was 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=/opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_msgconv.so

Id of component in case only selected message to parse.

#msg-conv-comp-id=2 #was commented

Configure this group to enable cloud message consumer.

[message-consumer0]
enable=0
proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
conn-str=localhost;9092
config-file=…/…/deepstream-test4/cfg_kafka.txt #was commented
subscribe-topic-list=quickstart-events

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=10
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=8
##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=320
height=240
##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=8

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=peoplenet/resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine
labelfile-path=peoplenet/labels.txt
config-file=config_infer_primary_peoplenet.txt
#infer-raw-output-dir=…/…/…/…/…/samples/primary_detector_raw_output/

[tracker]
enable=1
tracker-width=1216
tracker-height=960
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_nvdcf.so
#ll-config-file required for DCF/IOU only
ll-config-file=tracker_config.yml
#ll-config-file=iou_config.txt
gpu-id=0
#enable-batch-process applicable to DCF only
enable-batch-process=0

[nvds-analytics]
enable=1
config-file=config_nvdsanalytics7.txt

[tests]
file-loop=0

Could it be a hardware problem?

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