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+# Following properties are mandatory when engine files are not specified:
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+# int8-calib-file(Only in INT8), model-file-format
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+# Caffemodel mandatory properties: model-file, proto-file, output-blob-names
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+# UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names
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+# ONNX: onnx-file
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+#
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+# Mandatory properties for detectors:
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+# num-detected-classes
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+#
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+# Optional properties for detectors:
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+# cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0)
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+# custom-lib-path
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+# parse-bbox-func-name
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+#
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+# Mandatory properties for classifiers:
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+# classifier-threshold, is-classifier
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+#
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+# Optional properties for classifiers:
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+# classifier-async-mode(Secondary mode only, Default=false)
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+#
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+# Optional properties in secondary mode:
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+# operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes),
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+# input-object-min-width, input-object-min-height, input-object-max-width,
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+# input-object-max-height
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+#
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+# Following properties are always recommended:
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+# batch-size(Default=1)
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+#
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+# Other optional properties:
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+# net-scale-factor(Default=1), network-mode(Default=0 i.e FP32),
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+# model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path,
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+# mean-file, gie-unique-id(Default=0), offsets, process-mode (Default=1 i.e. primary),
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+# custom-lib-path, network-mode(Default=0 i.e FP32)
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+#
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+# The values in the config file are overridden by values set through GObject
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+# properties.
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+
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+[property]
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+gpu-id=0
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+net-scale-factor=0.0039215697906911373
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+#0=RGB, 1=BGR
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+model-color-format=0
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+# custom-network-config=yolov3-tiny.cfg
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+# model-file=yolov3-tiny.weights
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+model-engine-file=/opt/data/models/INT8/yolov5s.engine
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+labelfile-path=labels.txt
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+process-mode=1
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+batch-size=12
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+## 0=FP32, 1=INT8, 2=FP16 mode
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+network-mode=2
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+num-detected-classes=1
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+gie-unique-id=1
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+network-type=0
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+#is-classifier=0
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+output-blob-names=prob
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+## 0=Group Rectangles, 1=DBSCAN, 2=NMS, 3= DBSCAN+NMS Hybrid, 4 = None(No clustering)
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+#cluster-mode=2
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+interval=0
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+maintain-aspect-ratio=1
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+parse-bbox-func-name=NvDsInferParseCustomYoloV5
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+custom-lib-path=/usr/local/lib/libnvdsinfer_custom_impl_Yolo.so
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+engine-create-func-name=NvDsInferYoloCudaEngineGet
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+#scaling-filter=0
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+#scaling-compute-hw=0
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+
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+[class-attrs-all]
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+nms-iou-threshold=0.5
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+pre-cluster-threshold=0.4
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