NVIDIAI-AI-IoT-Ocupancy-Analytics/config/test5_config_file_src_infer_tlt.txt

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

[tiled-display]
enable=1
rows=1
columns=1
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:///opt/nvidia/deepstream/deepstream-5.0/sources/apps/sample_apps/demo/out.mp4
num-sources=1
gpu-id=0
nvbuf-memory-type=0

[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP
type=3
uri=file:///opt/nvidia/deepstream/deepstream-5.0/samples/streams/sample_1080p_h264.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



[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
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-5.0/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str=localhost;9092;quickstart-events
#topic=<topic>
#Optional:
#msg-broker-config=../../deepstream-test4/cfg_kafka.txt

[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=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-5.0/lib/libnvds_kafka_proto.so
conn-str=localhost;9092
#config-file=<broker config file e.g. cfg_kafka.txt>
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=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=640
tracker-height=288
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/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