################################################################################ # Copyright (c) 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=2 #gie-kitti-output-dir=kitti-trtis [tiled-display] enable=1 rows=1 columns=1 width=640 height=640 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 [source1] enable=0 #Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP type=3 uri=file://../../streams/cty.mp4 num-sources=1 #drop-frame-interval=2 gpu-id=0 # (0): memtype_device - Memory type Device # (1): memtype_pinned - Memory type Host Pinned # (2): memtype_unified - Memory type Unified cudadec-memtype=0 [source0] enable=1 #Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP type=4 uri=rtsp://xxx.xxx.xx.xxx:8554/cam #num-sources=1 camera-v4l2-dev-node=0 select-rtp-protocol=7 latency=30000 rtsp-reconnect-interval-sec=120 camera-width=1280 camera-height=720 #drop-frame-interval=2 gpu-id=0 # (0): memtype_device - Memory type Device # (1): memtype_pinned - Memory type Host Pinned # (2): memtype_unified - Memory type Unified cudadec-memtype=0 #nvbuf-memory-type=0 [sink0] enable=0 #Type - 1=FakeSink 2=EglSink 3=File type=2 sync=0 source-id=0 gpu-id=0 nvbuf-memory-type=0 [sink1] enable=0 type=3 #1=mp4 2=mkv container=1 #1=h264 2=h265 codec=1 sync=0 #iframeinterval=10 bitrate=2000000 output-file=out.mp4 source-id=0 [sink2] enable=1 #Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming type=4 #1=h264 2=h265 codec=1 sync=0 bitrate=4000000 # set below properties in case of RTSPStreaming rtsp-port=5400 udp-port=5401 [sink3] enable=0 #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-5.1/lib/libnvds_kafka_proto.so #Provide your msg-broker-conn-str here msg-broker-conn-str=10.1.21.3;9092;test topic=test #Optional: #msg-broker-config=../../deepstream-test4/cfg_kafka.txt [osd] enable=1 gpu-id=0 border-width=1 text-size=15 text-color=1;1;1;1; text-bg-color=0.3;0.3;0.3;1 font=Serif 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=640 height=640 ##Enable to maintain aspect ratio wrt source, and allow black borders, works ##along with width, height properties enable-padding=1 nvbuf-memory-type=0 # Configure this group to enable cloud message consumer. [message-consumer0] enable=0 proto-lib=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_kafka_proto.so conn-str=10.1.21.3;9092 config-file=/opt/nvidia/deepstream/deepstream-5.1/sources/libs/nvmsgbroker/cfg_kafka.txt subscribe-topic-list=test2 #sensor-list-file=dstest5_msgconv_sample_config.txt # config-file property is mandatory for any gie section. # Other properties are optional and if set will override the properties set in # the infer config file. [primary-gie] enable=1 #(0): nvinfer; (1): nvinferserver plugin-type=1 #infer-raw-output-dir=trtis-output batch-size=1 interval=0 gie-unique-id=1 config-file=config_infer_primary_detector_retina_face.txt #nvbuf-memory-type=3 [ds-example] enable=1 processing-width=640 processing-height=480 full-frame=0 blur-objects=1 unique-id=3 gpu-id=0 nvbuf-memory-type=3 [secondary-gie0] enable=1 #(0): nvinfer; (1): nvinferserver plugin-type=1 # nvinferserserver's gpu-id can only set from its own config-file #gpu-id=0 batch-size=1 gie-unique-id=4 operate-on-gie-id=1 operate-on-class-ids=0; config-file=config_infer_secondary_plan_engine_arcface.txt #nvbuf-memory-type=3 [message-broker] enable=0 broker-proto-lib=/opt/nvidia/deepstream/deepstream-5.1/lib/libnvds_kafka_proto.so broker-conn-str=localhost;9091 topic=test [tests] file-loop=0