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[property]
gpu-id=0
net-scale-factor=1.0
offsets=103.939;116.779;123.68
model-color-format=1
labelfile-path=model_output_labels.txt
model-engine-file=../../models/yolov4_Vehicle_640_384/yolov4_resnet18_pruned_b1_m64_int8.engine
int8-calib-file=../../models/yolov4_Vehicle_640_384/cal.bin
tlt-encoded-model=../../models/yolov4_Vehicle_640_384/yolov4_cspdarknet19_epoch_240.etlt
tlt-model-key=nvidia_tlt
infer-dims=3;384;640
#uff-input-dims=3;384;640;0
uff-input-blob-name=input_1
maintain-aspect-ratio=1
uff-input-order=0
uff-input-blob-name=Input
batch-size=4
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=6
interval=0
gie-unique-id=1
#is-classifier=0
process-mode=1
cluster-mode=3
output-blob-names=BatchedNMS
network-type=0
parse-bbox-func-name=NvDsInferParseCustomBatchedNMSTLT
custom-lib-path=../parser/libnvds_infercustomparser_tlt.so
output-tensor-meta=0

[class-attrs-all]
#threshold=0.61
pre-cluster-threshold=0.61
#group-threshold=1
## Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
#eps=0.7
minBoxes=0
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=48
detected-min-h=48
detected-max-w=1500
detected-max-h=800

[class-attrs-5]
threshold=100

[class-attrs-3]
threshold=100