I have a YOLOv4 object detection in which I want to change the threshold to get more objects to be detected. However, it seems like I’m doing it wrong because whatever I change the detection won’t change. My two config files are listed below:
[application]
enable-perf-measurement=1
perf-measurement-interval-sec=1
#gie-kitti-output-dir=/opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/labels
[tiled-display]
enable=1
rows=1
columns=1
#width=1280
#height=720
width=3840
height=2160
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=3
[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=3
num-sources=1
uri=file://../../streams/IMG_2522.mp4
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
nvbuf-memory-type=3
[streammux]
gpu-id=0
batch-size=1
batched-push-timeout=80000
## Set muxer output width and height
#width=1280
#height=720
width=3840
height=2160
nvbuf-memory-type=0
[sink0]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File
type=1
sync=0
source-id=0
gpu-id=0
nvbuf-memory-type=3
qos=0
[osd]
enable=0
gpu-id=0
border-width=3
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Arial
nvbuf-memory-type=3
[primary-gie]
enable=1
gpu-id=0
# Modify as necessary
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
gie-unique-id=1
# Replace the infer primary config file when you need to
# use other detection models
#config-file=config_infer_primary_frcnn.txt
#config-file=config_infer_primary_ssd.txt
#config-file=config_infer_primary_dssd.txt
#config-file=config_infer_primary_retinanet.txt
#config-file=config_infer_primary_yolov3.txt
config-file=config_infer_primary_yolov4_lp.txt
#config-file=config_infer_primary_detectnet_v2.txt
nvbuf-memory-type=3
[sink1]
enable=1
type=3
#1=mp4 2=mkv
container=1
#1=h264 2=h265 3=mpeg4
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=22244000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=4
output-file=output.mp4
source-id=0
[sink2]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming 5=Overlay
type=1
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=4
# set below properties in case of RTSPStreaming
rtsp-port=8554
udp-port=5400
[tracker]
enable=1
# For NvDCF and DeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=640
tracker-height=384
ll-lib-file=/opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_nvmultiobjecttracker.so
# ll-config-file required to set different tracker types
# ll-config-file=../deepstream-app/config_tracker_IOU.yml
# ll-config-file=../deepstream-app/config_tracker_NvDCF_perf.yml
ll-config-file=../deepstream-app/config_tracker_NvDCF_accuracy.yml
# ll-config-file=../deepstream-app/config_tracker_DeepSORT.yml
gpu-id=0
enable-batch-process=1
enable-past-frame=1
display-tracking-id=1
[tests]
file-loop=0
[ds-example]
enable=1
processing-width=1248
processing-height=384
full-frame=0
blur-objects=1
unique-id=15
nvbuf-memory-type=3
[property]
gpu-id=0
net-scale-factor=1.0
offsets=103.939;116.779;123.68
model-color-format=1
labelfile-path=lp_labels.txt
model-engine-file=../../models/tao_pretrained_models/yolov4/yolov4_resnet18.etlt_b1_gpu0_int8.engine
int8-calib-file=../../models/tao_pretrained_models/yolov4/cal.bin
tlt-encoded-model=../../models/tao_pretrained_models/yolov4/yolov4_resnet18_epoch_110.etlt
tlt-model-key=Z2hia2Q4MjhuZTk0cWQ0Y2JhOXVxOTAyOWQ6MDJjNmE5YTctNjBkYy00NTk3LWI4YWItNGU2MWQwNTE4MTdl
infer-dims=3;384;1248
maintain-aspect-ratio=1
uff-input-order=0
uff-input-blob-name=Input
batch-size=1
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=0
num-detected-classes=2
interval=0
gie-unique-id=1
is-classifier=0
#network-type=0
cluster-mode=3
output-blob-names=BatchedNMS
parse-bbox-func-name=NvDsInferParseCustomBatchedNMSTLT
custom-lib-path=/opt/nvidia/deepstream/deepstream-6.0/lib/libnvds_infercustomparser.so
[class-attrs-all]
pre-cluster-threshold=0.3
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=0
detected-min-h=0
detected-max-w=0
detected-max-h=0
[class-attrs-0]
nms-iou-threshold=0.2
[class-attrs-1]
nms-iou-threshold=0.2
Can someone tell me what I need to change?