Add YOLO-Seg
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@@ -201,6 +201,7 @@ parse-bbox-func-name=NvDsInferParseYoloE
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**NOTE**: The **YOLO-NAS** resizes the input with left/top padding. To get better accuracy, use
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```
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[property]
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...
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maintain-aspect-ratio=1
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symmetric-padding=0
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@@ -210,6 +211,7 @@ symmetric-padding=0
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**NOTE**: The **pre-trained YOLO-NAS** uses zero mean normalization on the image preprocess. It is important to change the `net-scale-factor` according to the trained values.
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```
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[property]
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net-scale-factor=0.0039215697906911373
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@@ -218,6 +220,7 @@ net-scale-factor=0.0039215697906911373
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**NOTE**: The **custom YOLO-NAS** uses no normalization on the image preprocess. It is important to change the `net-scale-factor` according to the trained values.
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```
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[property]
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net-scale-factor=1
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@@ -226,6 +229,7 @@ net-scale-factor=1
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**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
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```
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[property]
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force-implicit-batch-dim=1
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...
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