[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=4 uri=rtsp://admin:L2370929@192.168.2.108:554/cam/realmonitor?channel=1&subtype=1 gpu-id=0 nvbuf-memory-type=0 [source1] enable=0 #Type - 1=CameraV4L2 2=URI 3=MultiURI type=3 #uri=file://../../../../../samples/streams/sample_1080p_h264.mp4 num-sources=2 gpu-id=0 nvbuf-memory-type=0 [sink0] enable=1 #Type - 1=FakeSink 2=EglSink 3=File type=5 sync=0 source-id=0 gpu-id=0 nvbuf-memory-type=0 [sink1] 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-5.0/lib/libnvds_kafka_proto.so #Provide your msg-broker-conn-str here msg-broker-conn-str=;; topic= #Optional: #msg-broker-config=../../deepstream-test4/cfg_kafka.txt [sink2] enable=0 type=3 #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= # Id of component in case only selected message to parse. #msg-conv-comp-id= # 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=; config-file= subscribe-topic-list=;; # 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=0 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=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=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=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=../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_fp16.engine labelfile-path=../../../../../samples/models/Primary_Detector/labels.txt config-file=../../../../../samples/configs/deepstream-app/config_infer_primary.txt #infer-raw-output-dir=../../../../../samples/primary_detector_raw_output/ [tracker] enable=1 tracker-width=600 tracker-height=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=0 #enable-batch-process applicable to DCF only enable-batch-process=0 [tests] file-loop=0