# 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
#
# Optional properties for detectors:
#   cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0)
#   custom-lib-path,
#   parse-bbox-func-name
#
# Mandatory properties for classifiers:
#   classifier-threshold, is-classifier
#
# Optional properties for classifiers:
#   classifier-async-mode(Secondary mode only, Default=false)
#
# Optional properties in secondary mode:
#   operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes),
#   input-object-min-width, input-object-min-height, input-object-max-width,
#   input-object-max-height
#
# Following properties are always recommended:
#   batch-size(Default=1)
#
# Other optional properties:
#   net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
#   model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path,
#   mean-file, gie-unique-id(Default=0), offsets, process-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=1.0
offsets=103.939;116.779;123.68
infer-dims=3;224;224
network-type=1
network-mode=1
num-detected-classes=2
uff-input-order=0
output-blob-names=predictions/Softmax
uff-input-blob-name=input_1
model-color-format=1
maintain-aspect-ratio=0
output-tensor-meta=1
#tlt-model-key=nvidia_tlt
#tlt-encoded-model=../assets/models/livenessnet/model_int8.etlt
model-engine-file=../assets/models/livenessnet/model_int8.etlt_b1_gpu0_int8.engine
labelfile-path=../assets/models/livenessnet/labels.txt
int8-calib-file=../assets/models/livenessnet/final_model_int8_cache.bin
batch-size=1
# 0=FP32 and 1=INT8 mode
input-object-min-width=10
input-object-min-height=10
process-mode=2
gie-unique-id=2
operate-on-gie-id=1
#operate-on-class-ids=0
is-classifier=1
classifier-async-mode=0
classifier-threshold=0.51
process-mode=2
#scaling-filter=1
#scaling-compute-hw=0