################################################################################
# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
################################################################################

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

[tiled-display]
enable=1
rows=2
columns=2
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 #4
uri=rtsp://admin:123456@192.168.0.111:554/h264
#uri=file://../../../../../samples/streams/sample_1080p_h264.mp4   #rtsp://admin:XVWWNL@192.168.1.39:554/h264_stream
num-sources=2
gpu-id=0
nvbuf-memory-type=0


[source1]
enable=0
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
uri=rtsp://admin:123456@192.168.0.111:554/h264
#uri=file://../../../../../samples/streams/sample_1080p_h264.mp4


num-sources=2
gpu-id=0
nvbuf-memory-type=0

[sink0]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File
type=3
sync=1
source-id=0
gpu-id=0
nvbuf-memory-type=0

[sink1]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=6
sync =1
source-id=1
gpu-id=1
container=1
codec=1
bitrate=4000000
nvbuf-memory-type=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
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=foo.bar.com;80;dsapp
msg-broker-conn-str=localhost;9092;quickstart-events
#topic=test-ds4
msg-conv-payload-type=257


#Optional:
msg-broker-config=../../deepstream-test4/cfg_kafka.txt
new-api =1
msg-conv-msg2p-lib= /opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_msgconv.so
msg-conv-comp-id=1
msg-broker-comp-id=1
disable-msgconv = 1
enc-type=0
udp-buffer-size=100000




[sink2]
enable=1
type=4 #3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
## only SW mpeg4 is supported right now.
codec=1
sync=0
bitrate=4000000
output-file=out.mp4
source-id=1
profile = 2
rtsp-port=8554
udp-port=5400
# 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=1  #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-5.0/lib/libnvds_msgconv.so
# Id of component in case only selected message to parse.
msg-conv-comp-id=1

# Configure this group to enable cloud message consumer.
[message-consumer0]
enable=1   #0
proto-lib=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_kafka_proto.so
conn-str=foor.bar.com;80
config-file=../cfg_kafka.txt
subscribe-topic-list=topic1;topic2;topic3
# 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=1 #0
border-width= 10 #1
text-size=16  #15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Purisa #Arial
show-clock=1 #0
clock-x-offset=100  #800
clock-y-offset=100  #820
clock-text-size=16  #12
clock-color=1;0;0;0
nvbuf-memory-type=0
clock-color = 1;0;0;1


[streammux]
gpu-id=1 #0
##Boolean property to inform muxer that sources are live
live-source=0  #1
batch-size= 4
##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=1280  #1920
height=720  #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=0 #1

[primary-gie]
enable=1
gpu-id=1   #0
batch-size=2  #4
## 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=2 #0
gie-unique-id=2  #1
model-engine-file=resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine
labelfile-path=peoplenet/labels_peoplenet.txt
config-file=peoplenet/config_infer_primary_peoplenet.txt
#infer-raw-output-dir=../../../../../samples/primary_detector_raw_output/

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

[tracker]
enable=1
tracker-width=960  #600
tracker-height=540   #288
ll-lib-file=/opt/nvidia/deepstream/deepstream-5.0/lib/libnvds_mot_klt.so
#ll-config-file required for DCF/IOU only
ll-config-file=tracker_config.yml
ll-config-file=iou_config.txt
gpu-id=1  #0
#enable-batch-process applicable to DCF only
enable-batch-process=1  #0
display-tracking-id = 1

[tests]
file-loop=1  #0