Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson )
• DeepStream Version 6.3
• JetPack Version 5.1
• Issue Type( questions)
I want to run deepstream-test5 for a USB camera. However when app run I got many repeat error and green tiled window:
/dvs/git/dirty/git-master_linux/nvutils/nvbufsurftransform/nvbufsurftransform.cpp:549: => Surface type not supported for transformation NVBUF_MEM_SYSTEM
How could I solve it?
Below is my config file and source csv:
enable,type,camera-width,camera-height,camera-fps-n,camera-fps-d,camera-v4l2-dev-node,gpu-id,nvbuf-memory-type
1,1,2560,1440,15,1,0,0,4
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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
source:
csv-file-path: sources_4.csv
sink0:
enable: 1
#Type - 1=FakeSink 2=EglSink 3=File
type: 2
sync: 1
source-id: 0
gpu-id: 0
nvbuf-memory-type: 0
sink1:
enable: 0
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvdrmvideosink 6=MsgConvBroker
type: 6
msg-conv-config: dstest5_msgconv_sample_config.yml
#(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/lib/libnvds_kafka_proto.so
#Provide your msg-broker-conn-str here
msg-broker-conn-str: <host>;<port>;<topic>
topic: <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.yml
#(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/lib/libnvds_kafka_proto.so
conn-str: <host>;<port>
config-file: <broker config file e.g. cfg_kafka.txt>
subscribe-topic-list: <topic1>;<topic2>;<topicN>
# 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: 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: 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: 0
gie-unique-id: 1
model-engine-file: /opt/nvidia/deepstream/deepstream-6.3/samples/models/Primary_Detector/resnet10.caffemodel_b4_gpu0_int8.engine
labelfile-path: /opt/nvidia/deepstream/deepstream-6.3/samples/models/Primary_Detector/labels.txt
config-file: /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_infer_primary.yml
#infer-raw-output-dir: /opt/nvidia/deepstream/deepstream-6.3/samples/primary_detector_raw_output/
tracker:
enable: 0
# For NvDCF and NvDeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width: 960
tracker-height: 544
ll-lib-file: /opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
# ll-config-file required to set different tracker types
# ll-config-file: /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_tracker_IOU.yml
# ll-config-file: /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_tracker_NvSORT.yml
ll-config-file: /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_tracker_NvDCF_perf.yml
# ll-config-file: /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_tracker_NvDCF_accuracy.yml
# ll-config-file: /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/config_tracker_NvDeepSORT.yml
gpu-id: 0
display-tracking-id: 1
tests:
file-loop: 0
