[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
tlt-model-key=tlt_encode
tlt-encoded-model=../../../../samples/models/Primary_Detector/resnet18_peoplenet_pruned.etlt
labelfile-path=../../../../samples/models/Primary_Detector/labels_peoplenet.txt
#model-engine-file=../../../../samples/models/Primary_Detector/resnet34_peoplenet_int8.etlt_b1_gpu0_int8.engine
#int8-calib-file=../../../../samples/models/tao_pretrained_models/peopleNet/V2.6/resnet34_peoplenet_int8.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=2
interval=0
gie-unique-id=1
output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid

#Use the config params below for dbscan clustering mode
#[class-attrs-all]
#detected-min-w=4
#detected-min-h=4
#minBoxes=3
#eps=0.7

#Use the config params below for NMS clustering mode
[class-attrs-all]
topk=20
nms-iou-threshold=0.5
pre-cluster-threshold=0.4

## Per class configurations
#[class-attrs-0]
#topk=20
#nms-iou-threshold=0.5
#pre-cluster-threshold=0.4

#[class-attrs-1]
#disable bag detection
#pre-cluster-threshold=1.0
#eps=0.7
#dbscan-min-score=0.5