No Detection for Centerface Model Inference with Deepstream(for Centerface)

Hi Nvidia Team,

I am trying to run the Centerface model Inference(following this exactly the same: deepstream_triton_model_deploy/centerface at master · NVIDIA-AI-IOT/deepstream_triton_model_deploy · GitHub) on my Laptop using Deepstream Container nvcr.io/nvidia/deepstream:5.0.1-20.09-triton , App is running Successfully(I am getting the Detection in the output) with DeepStream and Triton Server Integration(by exactly following the reference in the GitHub repo).

But when I am trying to run the inference with only Deepstream(no integration with triton server), there is no detection in the output generated .mp4 file.

I am attaching the config files below:
1.) config_infer_primary.txt:

[property]
gpu-id=0
#net-scale-factor=0.0039215697906911373
net-scale-factor=1.0
model-color-format=0
onnx-file=model.onnx
model-engine-file=centerface_b1_gpu0_fp16.engine
labelfile-path=labels.txt
batch-size=1
network-mode=2
num-detected-classes=1
interval=0
gie-unique-id=1
process-mode=1
network-type=0
cluster-mode=2
maintain-aspect-ratio=1
output-blob-names=537;538;539;540
parse-bbox-func-name=NvDsInferParseCustomCenterNetFace
custom-lib-path=libnvds_infercustomparser_centernet.so

2.) deepstream_app_config.txt:

[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=kitti-trtis

[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
num-sources=1
uri=file:/workspace/trt/centerface/4.mp4
gpu-id=0
cudadec-memtype=0

[sink0]
enable=1
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265
codec=1
sync=0
iframeinterval=10
bitrate=2000000
output-file=/workspace/trt/centerface/out.mp4
source-id=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

[primary-gie]
enable=1
batch-size=1
gpu-id=0
gie-unique-id=1
nvbuf-memory-type=0
config-file=centerface.txt

[tests]
file-loop=0

Kindly please help me to resolve this Issue.

Thanks in advance,
Darshan C G