Hi,
I have this camera: brand : Dahua model : IPC-HDW1230T1-S4
I have been trying for a few days to use it with DeepStream but I get a black window display. At the beginning I thought that the problem had to do with the string of characters that are in the RTSP URI, which are:
They display the video stream. I can see it with the jetson nano and gstreamer. But I can not see it with deepstream (it opens the DeepStreamTest5App window but all black). I know that I’m changing the correct config file, because I have test it with the bigBuckBunny rtsp uri and with my iphone as an IP camera, and their URI do work with the deepstream app.
I’m using this repository
Hi,
For second test, if you run test-mp4 on Jetson Nano, please modify uri=rtsp://127.0.0.1:8554/test in config file. It is to get stream from the RTSP server instead of Duhua IP camera.
Hi,
You may run the RTSP server on Jetson Nano or other host PC in LAN. And change URI in config file to get video stream from the server instead of the IP camera.
Hi,
So it is not specific to the IP camera. If setting up the server through test-mp4 and enable two sinks(one is type=2 and the other is type=6), it cannot show display. Is this correct?
Hi,
Yes, live-source=1 is set in [streammux].
This is my config file:
# Copyright (c) 2018 NVIDIA Corporation. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
[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=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
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI 4=RTSP 5=CSI
type=4
#uri=rtsp://admin:12345678W@192.168.1.108:554/cam/realmonitor?channel=1/subtype=1
#uri=rtsp://192.168.1.7:8554/live
#uri=rtsp://wowzaec2demo.streamlock.net/vod/mp4:BigBuckBunny_115k.mov
uri=rtsp://127.0.0.1:8554/test
rtsp-reconnect-interval-sec=60
#latency=1000
#type=5
#camera-width=3280
#camera-height=2464
#camera-fps-n=20
#camera-fps-d=1
#camera-csi-sensor-id=0
#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
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink
type=2
sync=0
source-id=0
gpu-id=0
qos=0
nvbuf-memory-type=0
overlay-id=1
[sink1]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvoverlaysink 6=MsgConvBroker
type=6
sync=0
msg-conv-config=msgconv_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=1
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_azure_edge_proto.so
topic=mytopic
#Optional:
#msg-broker-config=../../../../libs/azure_protocol_adaptor/module_client/cfg_azure.txt
[sink2]
enable=0
type=1
#1=mp4 2=mkv
container=1
#1=h264 2=h265
codec=1
sync=0
bitrate=2000000
output-file=CustomVisionOut.mp4
source-id=0
[sink3]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
#1=h264 2=h265
codec=1
sync=0
bitrate=1500000
# set below properties in case of RTSPStreaming
rtsp-port=8554
udp-port=5400
[osd]
enable=1
gpu-id=0
border-width=4
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]
##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=1280
height=720
## 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
# 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
model-engine-file=../../CUSTOM_VISION_AI/model.onnx_b1_gpu0_fp32.engine
#Required to display the PGIE labels, should be added even when using config-file
#property
batch-size=1
#Required by the app for OSD, not a plugin property
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;0;1;1
bbox-border-color3=0;1;0;1
interval=0
#Required by the app for SGIE, when used along with config-file property
gie-unique-id=1
config-file=config_infer_primary_CustomVisionAI.txt
[tracker]
enable=0
tracker-width=480
tracker-height=272
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_mot_klt.so
#ll-config-file required for DCF/IOU only
#ll-config-file=iou_config.txt
gpu-id=0
[tests]
file-loop=1
** ERROR: <main:1451>: Failed to set pipeline to PAUSED
Quitting
ERROR from sink_sub_bin_sink2: Could not initialize supporting library.
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvmsgbroker/gstnvmsgbroker.c(359): legacy_gst_nvmsgbroker_start (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
unable to open shared library
ERROR from sink_sub_bin_sink2: GStreamer error: state change failed and some element failed to post a proper error message with the reason for the failure.
Debug info: gstbasesink.c(5265): gst_base_sink_change_state (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
Failed to start
App run failed
Failed to load config file: No such file or directory
** ERROR: <gst_nvinfer_parse_config_file:1242>: failed
(deepstream-test5-app:21301): GLib-CRITICAL **: 11:34:24.358: g_strrstr: assertion 'haystack != NULL' failed
Error: Time:Fri Jan 8 11:34:24 2021 File:/home/nvidia/azure/azure-iot-sdk-c/iothub_client/src/iothub_client_core_ll.c Func:retrieve_edge_environment_variabes Line:177 Environment IOTEDGE_AUTHSCHEME not set
Error: Time:Fri Jan 8 11:34:24 2021 File:/home/nvidia/azure/azure-iot-sdk-c/iothub_client/src/iothub_client_core_ll.c Func:IoTHubClientCore_LL_CreateFromEnvironment Line:1186 retrieve_edge_environment_variabes failed
Error: Time:Fri Jan 8 11:34:24 2021 File:/home/nvidia/azure/azure-iot-sdk-c/iothub_client/src/iothub_client_core.c Func:create_iothub_instance Line:924 Failure creating iothub handle
ERROR: iotHubModuleClientHandle is NULL! connect failed
** ERROR: <main:1451>: Failed to set pipeline to PAUSED
Quitting
ERROR from sink_sub_bin_sink2: Could not configure supporting library.
Debug info: /dvs/git/dirty/git-master_linux/deepstream/sdk/src/gst-plugins/gst-nvmsgbroker/gstnvmsgbroker.c(388): legacy_gst_nvmsgbroker_start (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
unable to connect to broker library
ERROR from sink_sub_bin_sink2: GStreamer error: state change failed and some element failed to post a proper error message with the reason for the failure.
Debug info: gstbasesink.c(5265): gst_base_sink_change_state (): /GstPipeline:pipeline/GstBin:sink_sub_bin2/GstNvMsgBroker:sink_sub_bin_sink2:
Failed to start
App run failed
