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Add YOLO-Seg

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This commit is contained in:
Marcos Luciano
2023-09-07 00:25:56 -03:00
parent 0f4377f540
commit 1a9df997a4
10 changed files with 28 additions and 2 deletions
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2
docs/DAMOYOLO.md
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@@ -166,6 +166,7 @@ parse-bbox-func-name=NvDsInferParseYoloE
**NOTE**: The **DAMO-YOLO** do not resize the input with padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=0
...
@@ -174,6 +175,7 @@ maintain-aspect-ratio=0
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

4
docs/PPYOLOE.md
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@@ -145,6 +145,7 @@ parse-bbox-func-name=NvDsInferParseYoloE
**NOTE**: The **PP-YOLOE+ and PP-YOLOE legacy** do not resize the input with padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=0
...
@@ -153,6 +154,7 @@ maintain-aspect-ratio=0
**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.
```
[property]
...
net-scale-factor=0.0039215697906911373
...
@@ -163,6 +165,7 @@ net-scale-factor=0.0039215697906911373
Default: `mean = 0.485, 0.456, 0.406` and `std = 0.229, 0.224, 0.225`
```
[property]
...
net-scale-factor=0.0173520735727919486
offsets=123.675;116.28;103.53
@@ -172,6 +175,7 @@ offsets=123.675;116.28;103.53
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

4
docs/YOLONAS.md
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@@ -201,6 +201,7 @@ parse-bbox-func-name=NvDsInferParseYoloE
**NOTE**: The **YOLO-NAS** resizes the input with left/top padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=0
@@ -210,6 +211,7 @@ symmetric-padding=0
**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.
```
[property]
...
net-scale-factor=0.0039215697906911373
...
@@ -218,6 +220,7 @@ net-scale-factor=0.0039215697906911373
**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.
```
[property]
...
net-scale-factor=1
...
@@ -226,6 +229,7 @@ net-scale-factor=1
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

2
docs/YOLOR.md
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@@ -184,6 +184,7 @@ parse-bbox-func-name=NvDsInferParseYolo
**NOTE**: The **YOLOR** resizes the input with center padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=1
@@ -193,6 +194,7 @@ symmetric-padding=1
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

4
docs/YOLOX.md
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@@ -150,6 +150,7 @@ parse-bbox-func-name=NvDsInferParseYolo
**NOTE**: The **YOLOX and YOLOX legacy** resize the input with left/top padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=0
@@ -159,6 +160,7 @@ symmetric-padding=0
**NOTE**: The **YOLOX** uses no normalization on the image preprocess. It is important to change the `net-scale-factor` according to the trained values.
```
[property]
...
net-scale-factor=1
...
@@ -169,6 +171,7 @@ net-scale-factor=1
Default: `mean = 0.485, 0.456, 0.406` and `std = 0.229, 0.224, 0.225`
```
[property]
...
net-scale-factor=0.0173520735727919486
offsets=123.675;116.28;103.53
@@ -178,6 +181,7 @@ offsets=123.675;116.28;103.53
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

2
docs/YOLOv5.md
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@@ -176,6 +176,7 @@ parse-bbox-func-name=NvDsInferParseYolo
**NOTE**: The **YOLOv5** resizes the input with center padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=1
@@ -185,6 +186,7 @@ symmetric-padding=1
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

2
docs/YOLOv6.md
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@@ -176,6 +176,7 @@ parse-bbox-func-name=NvDsInferParseYolo
**NOTE**: The **YOLOv6** resizes the input with center padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=1
@@ -185,6 +186,7 @@ symmetric-padding=1
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

2
docs/YOLOv7.md
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@@ -178,6 +178,7 @@ parse-bbox-func-name=NvDsInferParseYolo
**NOTE**: The **YOLOv7** resizes the input with center padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=1
@@ -187,6 +188,7 @@ symmetric-padding=1
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...

2
docs/YOLOv8.md
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@@ -169,6 +169,7 @@ parse-bbox-func-name=NvDsInferParseYolo
**NOTE**: The **YOLOv8** resizes the input with center padding. To get better accuracy, use
```
[property]
...
maintain-aspect-ratio=1
symmetric-padding=1
@@ -178,6 +179,7 @@ symmetric-padding=1
**NOTE**: By default, the dynamic batch-size is set. To use implicit batch-size, uncomment the line
```
[property]
...
force-implicit-batch-dim=1
...