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# Following properties are mandatory when engine files are not specified:
#   int8-calib-file(Only in INT8)
#   Caffemodel mandatory properties: model-file, proto-file, output-blob-names
#   UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names
#   ONNX: onnx-file
#
# Mandatory properties for detectors:
#   num-detected-classes
#
# Mandatory properties for classifiers:
#   classifier-threshold, is-classifier
#
# Optional properties for classifiers:
#   classifier-async-mode(Secondary mode only, Default=false)
#
# Following properties are always recommended:
#   batch-size(Default=1)
#
# Other optional properties:
#   net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
#   mean-file, gie-unique-id(Default=0), offsets, gie-mode (Default=1 i.e. primary),
#   custom-lib-path, network-mode(Default=0 i.e FP32)
#
# The values in the config file are overridden by values set through GObject
# properties.

[property]
gpu-id=0
net-scale-factor=0.00392156862745098
# tlt-model-key=nvidia_tlt
# tlt-encoded-model=./models/LPR/ch_lprnet_baseline18_deployable.etlt
labelfile-path=dict.txt   
model-engine-file=./models/LPR/lpr_ch_onnx_b16.engine
batch-size=4
process-mode=2
model-color-format=0
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=2
#0=Detection 1=Classifier 2=Segmentation
network-type=1
num-detected-classes=3    
# interval=0
gie-unique-id=2
operate-on-gie-id=1
operate-on-class-ids=0      
output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid
parse-classifier-func-name=NvDsInferParseCustomNVPlate
custom-lib-path=./lpr_parser/libnvdsinfer_custom_impl_lpr.so
classifier-threshold=0.2