I did as recommended. The following is my test5 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=0
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
##start sources
##end sources
[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=1
#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
#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
And below is the message I received now that sink1 type is fakesink, any idea why the exit enter messages stop and I only get PERF messages?
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
0:00:18.909972568 18201 0x55bd460c00 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
0:00:18.915102258 18201 0x55bd460c00 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
0:00:18.915159291 18201 0x55bd460c00 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
0:02:41.087677753 18201 0x55bd460c00 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
0:02:41.145372444 18201 0x55bd460c00 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
**PERF: FPS 0 (Avg)
Wed Dec 8 16:02:49 2021
**PERF: 0.00 (0.00)
** INFO: <bus_callback:181>: Pipeline ready
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
[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
Wed Dec 8 16:02:54 2021
**PERF: 28.77 (7.33)
Wed Dec 8 16:02:59 2021
**PERF: 0.00 (1.45)
Wed Dec 8 16:03:04 2021
**PERF: 0.00 (0.80)
Wed Dec 8 16:03:09 2021
**PERF: 0.00 (0.55)
Wed Dec 8 16:03:14 2021
**PERF: 0.00 (0.42)
Wed Dec 8 16:03:19 2021
**PERF: 0.00 (0.34)
Wed Dec 8 16:03:24 2021
**PERF: 0.00 (0.29)
Wed Dec 8 16:03:29 2021
**PERF: 0.00 (0.25)
Wed Dec 8 16:03:34 2021
**PERF: 0.00 (0.22)
Wed Dec 8 16:03:39 2021
**PERF: 0.00 (0.19)
Wed Dec 8 16:03:44 2021
**PERF: 0.00 (0.18)
Wed Dec 8 16:03:49 2021
**PERF: 0.00 (0.16)
Wed Dec 8 16:03:54 2021
**PERF: 0.00 (0.15)
Wed Dec 8 16:03:59 2021
**PERF: 0.00 (0.14)
Wed Dec 8 16:04:04 2021
**PERF: 0.00 (0.13)
Wed Dec 8 16:04:09 2021
**PERF: 0.00 (0.12)
Wed Dec 8 16:04:14 2021
**PERF: 0.00 (0.11)
Wed Dec 8 16:04:19 2021
**PERF: 0.00 (0.10)
Wed Dec 8 16:04:24 2021
**PERF: 0.00 (0.10)
**PERF: FPS 0 (Avg)
Wed Dec 8 16:04:29 2021
**PERF: 0.00 (0.09)
Wed Dec 8 16:04:34 2021
**PERF: 0.00 (0.09)
Wed Dec 8 16:04:39 2021
**PERF: 0.00 (0.08)
Wed Dec 8 16:04:44 2021
**PERF: 0.00 (0.08)
Wed Dec 8 16:04:49 2021
**PERF: 0.00 (0.08)
Wed Dec 8 16:04:54 2021
**PERF: 0.00 (0.07)
Wed Dec 8 16:04:59 2021
**PERF: 0.00 (0.07)
Wed Dec 8 16:05:04 2021
**PERF: 0.00 (0.07)
Wed Dec 8 16:05:09 2021
**PERF: 0.00 (0.07)
ERROR from dsanalytics_queue: Internal data stream error.
Debug info: gstqueue.c(988): gst_queue_handle_sink_event (): /GstPipeline:pipeline/GstBin:dsanalytics_bin/GstQueue:dsanalytics_queue:
streaming stopped, reason error (-5)
Quitting
ERROR from osd_queue: Internal data stream error.
Debug info: gstqueue.c(988): gst_queue_handle_sink_event (): /GstPipeline:pipeline/GstBin:processing_bin_0/GstBin:osd_bin/GstQueue:osd_queue:
streaming stopped, reason error (-5)
[NvDCF] De-initialized
App run failed
Thanks. I apologize if this is still blurry.
