NVIDIAI-AI-IoT-Ocupancy-Analytics/config/config_infer_primary_peoplenet.txt

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[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
tlt-model-key=tlt_encode
tlt-encoded-model=peoplenet/resnet34_peoplenet_pruned.etlt
labelfile-path=peoplenet/labels.txt
model-engine-file=../resnet34_peoplenet_pruned.etlt_b1_gpu0_int8.engine
int8-calib-file=resnet34_peoplenet_int8_update.txt
input-dims=3;544;960;0
uff-input-blob-name=input_1
batch-size=1
process-mode=1
model-color-format=0
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=3
cluster-mode=1
interval=0
gie-unique-id=1
output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid

[class-attrs-all]
pre-cluster-threshold=0.4
## Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
eps=0.7
minBoxes=1

[class-attrs-1]
pre-cluster-threshold=1.4
## Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
eps=0.7
minBoxes=1
[class-attrs-2]
pre-cluster-threshold=1.4
## Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
eps=0.7
minBoxes=1