################################################################################
# SPDX-FileCopyrightText: Copyright (c) 2020-2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
################################################################################

# 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=0.0039215697906911373
model-color-format=0
#model-file=../../../../samples/models/Primary_Detector/resnet10.caffemodel
#proto-file=../../../../samples/models/Primary_Detector/resnet10.prototxt
model-engine-file=/dli/task/my_apps/my_pigs/my_change_pig.engine
labelfile-path=/dli/task/my_apps/my_pigs/labels.txt
parse-bbox-func-name=NvDsInferParseCustomYoloV5
custom-lib-path=/dli/task/my_apps/my_pigs/libnvdsinfer_custom_impl_Yolo.so
engine-create-func-name=NvDsInferYoloCudaEngineGet
force-implicit-batch-dim=1
batch-size=1
network-mode=0
num-detected-classes=1
interval=0
gie-unique-id=1
output-blob-names=output0

[class-attrs-all]
pre-cluster-threshold=0.2
eps=0.2
group-threshold=1



#[property]
#gpu-id=0
#net-scale-factor=0.0039215697906911373
##0=RGB, 1=BGR
#model-color-format=0
##custom-network-config=yolov2.cfg
##model-file=yolov2.weights
#model-engine-file=/dli/task/my_apps/my_pigs/my_change_pig.engine
#labelfile-path=/dli/task/my_apps/my_pigs/labels.txt
#force-implicit-batch-dim=1
### 0=FP32, 1=INT8, 2=FP16 mode
#network-mode=0
#num-detected-classes=2
#gie-unique-id=1
#network-type=0
#is-classifier=0
### 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
#cluster-mode=2
#maintain-aspect-ratio=1
#parse-bbox-func-name=NvDsInferParseCustomYoloV5
#custom-lib-path=/dli/task/my_apps/my_pigs/libnvdsinfer_custom_impl_Yolo.so
#engine-create-func-name=NvDsInferYoloCudaEngineGet
##scaling-filter=0
##scaling-compute-hw=0

#[class-attrs-all]
#nms-iou-threshold=0.3
#threshold=0.6