# Copyright (c) 2018 NVIDIA Corporation.  All rights reserved.
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto.  Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.

# 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:
#   parse-func, num-detected-classes,
#   custom-lib-path (when parse-func=0 i.e. custom),
#   parse-bbox-func-name (when parse-func=0)
#
# Optional properties for detectors:
#   enable-dbscan(Default=false), interval(Primary mode only, Default=0)
#
# 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, 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=0.017352074
offsets=123.675;116.28;103.53
model-engine-file=<path>
labelfile-path=labels_coco.txt
#int8-calib-file=cal_trt4.bin
batch-size=8
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=2
num-detected-classes=80
interval=0
gie-unique-id=1
parse-func=0
is-classifier=0
output-blob-names=boxes;scores;classes
parse-bbox-func-name=NvDsInferParseRetinaNet
custom-lib-path=build/libnvdsparsebbox_odtk.so
#enable-dbscan=1


[class-attrs-all]
threshold=0.5
group-threshold=0
## Set eps=0.7 and minBoxes for enable-dbscan=1
#eps=0.2
##minBoxes=3
#roi-top-offset=0
#roi-bottom-offset=0
detected-min-w=4
detected-min-h=4
#detected-max-w=0
#detected-max-h=0

## Per class configuration
#[class-attrs-2]
#threshold=0.6
#eps=0.5
#group-threshold=3
#roi-top-offset=20
#roi-bottom-offset=10
#detected-min-w=40
#detected-min-h=40
#detected-max-w=400
#detected-max-h=800