[property]
gpu-id=0
net-scale-factor=0.007843
model-color-format=0
offsets=127.5;127.5;127.5
labelfile-path=/workspace/deepstream-huhf-unet/model_files/huhf_labels.txt
##Replace following path to your model file
model-engine-file=/file #/workspace/deepstream-huhf-unet/model_files/model_huhf_v0_600_cal_int8.etlt_b1_gpu0_int8.engine
#current DS cannot parse onnx etlt model, so you need to
#convert the etlt model to TensoRT engine first use tao-convert
tlt-encoded-model=/workspace/deepstream-huhf-unet/model_files/model_huhf_v0_600_cal_int8.etlt
tlt-model-key=nvidia_tlt
int8-calib-file=/workspace/deepstream-huhf-unet/model_files/huhf_v0_cal.bin
infer-dims=3;512;512
batch-size=1
## 0=FP32, 1=INT8, 2=FP16 mode
network-mode=1
num-detected-classes=16
interval=0
gie-unique-id=1
network-type=2
output-blob-names=argmax_1
segmentation-threshold=0.0
##specify the output tensor order, 0(default value) for CHW and 1 for HWC
segmentation-output-order=1

[class-attrs-all]
roi-top-offset=0
roi-bottom-offset=0
detected-min-w=0
detected-min-h=0
detected-max-w=0
detected-max-h=0