Met error in the yolo example of Deepstream 4.0 sdk

Hi,

I tried to run sample of Yolo in DeepStream 4.0.1, but met the following error, any suggestion?

I mad the change of type=3 of sink0 in the configuration file.

Thanks!

hodaka@hodaka-04:/opt/nvidia/deepstream/deepstream-4.0/sources/objectDetector_Yolo$ GST_DEBUG=3 deepstream-app -c deepstream_app_config_yoloV3.txt
0:00:00.049390023 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0x120000: ‘AVR (Audio Visual Research)’ is not mapped
0:00:00.049415215 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0x180000: ‘CAF (Apple Core Audio File)’ is not mapped
0:00:00.049423895 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0x100000: ‘HTK (HMM Tool Kit)’ is not mapped
0:00:00.049429888 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0xc0000: ‘MAT4 (GNU Octave 2.0 / Matlab 4.2)’ is not mapped
0:00:00.049437815 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0xd0000: ‘MAT5 (GNU Octave 2.1 / Matlab 5.0)’ is not mapped
0:00:00.049444876 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0x210000: ‘MPC (Akai MPC 2k)’ is not mapped
0:00:00.049452952 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0xe0000: ‘PVF (Portable Voice Format)’ is not mapped
0:00:00.049460567 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0x160000: ‘SD2 (Sound Designer II)’ is not mapped
0:00:00.049472674 18354 0x55effd9a4530 WARN default gstsf.c:98:gst_sf_create_audio_template_caps: format 0x190000: ‘WVE (Psion Series 3)’ is not mapped
** ERROR: <create_encode_file_bin:395>: create_encode_file_bin failed
** ERROR: <create_sink_bin:662>: create_sink_bin failed
** ERROR: <create_processing_instance:705>: create_processing_instance failed
** ERROR: <create_pipeline:1045>: create_pipeline failed
** ERROR: main:632: Failed to create pipeline
Quitting
App run failed

$ cat deepstream_app_config_yoloV3.txt
################################################################################

Copyright © 2019, 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=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=3
uri=file://…/…/samples/streams/sample_1080p_h264.mp4
num-sources=1
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
type=3
sync=0
source-id=0
gpu-id=0
nvbuf-memory-type=0

[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=0
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=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

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
gpu-id=0
#model-engine-file=model_b1_int8.engine
labelfile-path=labels.txt
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
gie-unique-id=1
nvbuf-memory-type=0
config-file=config_infer_primary_yoloV3.txt

[tests]
file-loop=0
hodaka@hodaka-04:/opt/nvidia/deepstream/deepstream-4.0/sources/objectDetector_Yolo$

Seems you don’t specify the output file under the sink group.

[sink1]
enable=1
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