[property]
gpu-id = 0
batch-size = 16
net-scale-factor = 0.0039215697906911373
#0=RGB, 1=BGR
model-color-format = 0

custom-network-config = models/yolo.cfg
model-file = yolo.wts
labelfile-path = yolo.txt
model-engine-file = yolo_model_b16_gpu0_fp16.engine

## 0=FP32, 1=INT8, 2=FP16 mode
network-mode = 2
network-type = 0
num-detected-classes = 1
gie-unique-id = 3
operate-on-class-ids=0
operate-on-gie-id=1

## 0=Group Rectangles, 1=DBSCAN, 2=NMS, 3 = None(No clustering)
cluster-mode = 2
maintain-aspect-ratio=1

parse-bbox-func-name = NvDsInferParseYolo
engine-create-func-name = NvDsInferYoloCudaEngineGet
custom-lib-path = yolo/libnvdsinfer_custom_impl_Yolo.so


interval = 0
process-mode = 2
input-object-min-width=50 
input-object-min-height=50

[class-attrs-all]
pre-cluster-threshold = 0.25
nms-iou-threshold=0.1
threshold=0.3