# Copyright (c) 2020 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.

[property]
gpu-id=0
net-scale-factor=0.0039215697906911373
tlt-model-key=tlt_encode
#tlt-model-key=tlt
#tlt-encoded-model=models/PeopleNet_Detector/resnet18_peoplenet_pruned.etlt
#tlt-encoded-model=models/PeopleNet_Detector/resnet18_detector_qat.etlt
labelfile-path=models/PeopleNet_Detector/labels.txt
#model-engine-file=models/PeopleNet_Detector/resnet18_peoplenet_pruned.etlt_b1_gpu0_fp16.engine
#model-engine-file=models/PeopleNet_Detector/resnet18_detector_qat.etlt_b1_gpu0_int8.engine
#int8-calib-file=models/PeopleNet_Detector/calibration_qat.bin

# old model: v2
#tlt-encoded-model=models/PeopleNet_Detector/model-01-23/resnet18_detector_qat.etlt
#model-engine-file=models/PeopleNet_Detector/model-01-27_28/resnet18_detector_32epochs_nofreezing.etlt_b1_gpu0_FP32.engine
#int8-calib-file=models/PeopleNet_Detector/model-01-23/calibration_qat.bin

# new model: v3
#tlt-encoded-model=models/PeopleNet_Detector/model-02-01/resnet18_detector_unpruned_nofreeze.etlt
#model-engine-file=models/PeopleNet_Detector/model-01-27_28/resnet18_detector_unpruned_32epochs.etlt_b1_gpu0_FP32.engine
#int8-calib-file=models/PeopleNet_Detector/model-01-23/smaller/smaller_calibration_qat.bin

# new model: v3 but int8
#tlt-encoded-model=models/PeopleNet_Detector/model-02-01/pruned_resnet18_detector_qat.etlt
#int8-calib-file=models/PeopleNet_Detector/model-02-01/pruned_calibration_qat.bin
#model-engine-file=models/PeopleNet_Detector/model-02-01/pruned_resnet18_detector_qat.etlt_b1_gpu0_int8.engine

# new model v4
#tlt-encoded-model=models/PeopleNet_Detector/model-03-03/resnet18_detector_pruned_qat.etlt
#int8-calib-file=models/PeopleNet_Detector/model-03-03/calibration_qat.bin
#model-engine-file=models/PeopleNet_Detector/model-03-03/resnet18_detector_pruned_qat.etlt_b1_gpu0_int8.engine

# new model v5
#tlt-encoded-model=models/PeopleNet_Detector/model-v5/person_detector_detectnet_resnet18_V5_pruned_qat.etlt
#int8-calib-file=models/PeopleNet_Detector/model-v5/person_detector_detectnet_resnet18_V5_pruned_qat_calibration.bin
#model-engine-file=models/PeopleNet_Detector/model-v5/person_detector_detectnet_resnet18_V5_pruned_qat.etlt_b1_gpu0_int8.engine

# new model v5.1
#tlt-encoded-model=models/PeopleNet_Detector/model-v5/person_detector_detectnet_resnet18_V5.1_pruned_qat.etlt
#int8-calib-file=models/PeopleNet_Detector/model-v5/person_detector_detectnet_resnet18_V5.1_pruned_qat_calibration.bin
#model-engine-file=models/PeopleNet_Detector/model-v5/person_detector_detectnet_resnet18_V5.1_pruned_qat.etlt_b1_gpu0_int8.engine
#model-engine-file=models/person_detector_detectnet_resnet18_V5.1_pruned_qat.trt.int8
model-engine-file=models/person_detector_detectnet_resnet18_V5.1_pruned_qat_tltconverter.trt.engine

#input-dims=3;544;960;0
input-dims=3;480;852;0
uff-input-blob-name=input_1
batch-size=1
process-mode=1
model-color-format=0

## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=1
cluster-mode=1
interval=0
gie-unique-id=11
output-blob-names=output_bbox/BiasAdd;output_cov/Sigmoid
#output-blob-names=output_cov/Sigmoid;output_bbox/BiasAdd

#filter-out-class-ids=1;2

[class-attrs-all]
pre-cluster-threshold=0.35
Post-cluster-threshold=0.35
## Set eps=0.7 and minBoxes for cluster-mode=1(DBSCAN)
eps=0.6
minBoxes=1
# to be tested
detected-min-w=32
detected-min-h=32
detected-max-w=900
detected-max-h=600