Add YOLO-Seg
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@@ -145,6 +145,7 @@ parse-bbox-func-name=NvDsInferParseYoloE
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**NOTE**: The **PP-YOLOE+ and PP-YOLOE legacy** do not resize the input with 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=0
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@@ -153,6 +154,7 @@ maintain-aspect-ratio=0
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**NOTE**: The **PP-YOLOE+** 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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@@ -163,6 +165,7 @@ net-scale-factor=0.0039215697906911373
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Default: `mean = 0.485, 0.456, 0.406` and `std = 0.229, 0.224, 0.225`
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```
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[property]
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net-scale-factor=0.0173520735727919486
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offsets=123.675;116.28;103.53
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@@ -172,6 +175,7 @@ offsets=123.675;116.28;103.53
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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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