[property]
gpu-id=0
gie-unique-id=1
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
network-type=0
process-mode=1
# force-implicit-batch-dim=1
# batch-size=1
model-color-format=0
#maintain-aspect-ratio=1

net-scale-factor=0.0039215697906911373

# Attention: Pathes are relative to the configuration file path
model-engine-file = ../../models/people_net_model/resnet18_peoplenet_pruned.etlt_b1_gpu0_int8.engine
# tlt-encoded-model = ../../models/people_net_model/resnet18_peoplenet_pruned.etlt
# tlt-encoded-model = ../../models/people_net_model/resnet34_peoplenet_pruned.etlt
# tlt-encoded-model = ../../models/people_net_model/resnet34_detector.etlt
# tlt-model-key=tlt_encode

infer-dims=3;544;960

uff-input-blob-name=input_1
output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid

num-detected-classes=3
interval=1
int8-calib-file=../../models/people_net_model/resnet18_peoplenet_int8.txt
#int8-calib-file=../../models/people_net_model/resnet18_peoplenet_int8_dla.txt
#int8-calib-file=../../models/people_net_model/resnet34_peoplenet_int8.txt
#int8-calib-file=../../models/people_net_model/resnet34_peoplenet_int8_dla.txt
labelfile-path=../../models/people_net_model/labels.txt

[class-attrs-all]
detected-min-w=10
detected-min-h=10
pre-cluster-threshold = 0.4
eps=0.4
group-threshold=1